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November 2016 New in Review
FROM THE ACADEMY
New in Review
ABSTRACTS CLINICAL NUTRITION Impact of nutritional support that does and does not meet guideline standards on clinical outcome in surgical patients at nutritional risk: A prospective cohort study. Sun D-L, Li W-M, Li S-M, et al. Nutr J. 2016; http://dx.doi.org/10.1186/s12937-016-0193-6. The researchers compare the impact of nutritional support on clinical outcomes in patients at nutritional risk who underwent major abdominal surgery and received guideline-recommended support vs those who did not. A prospective cohort study was employed at the Second Affiliated Hospital of Kunming Medical University between February 2010 and June 2012. During the study, 525 patients determined to be at nutritional risk were enrolled in one of the two cohorts. The total group was 54.85% male with a mean age of 64.6 years. Inclusion criteria included: undergoing major abdominal surgery, partial gastrectomy, full stomach resection, colorectal resection, pancreaticojejunostomy, biliary-enteric anastomosis, hepatectomy, biliary exploratory surgery, duodenal resection, and small-bowel resection; age between 18 and 90 years; willingness to participate; capability of communicating with researchers; screened for nutritional risk via the Nutritional Risk Screening-2002 (NRS-2002) with a resulting risk under 3 points; and hospitalized for more than 7 days. Exclusionary criteria included: pregnancy; impaired cognitive function; absence of a face-to-face examination within 48 hours of admission; severe illness or transfer from the intensive care union; emergency surgery; receiving more calories or nitrogen than recommended by guidelines. Cohort 1 was determined to be patients who received nutritional support meeting the guideline standards (n¼205), and Cohort 2 (n¼320) included those who did not meet the standards. EpiData software 3.0 (2007) was used to establish a database, and Excel 2010 (Microsoft Corp) to organize data. Binary logistic regression analysis was used to analyze the risk factors (sex, age, body mass index, weight loss, reduced food intake, nutrition support, energy, and nitrogen). SPSS 18.0 (2009, SPSS Inc) was used for the statistical analysis. ª 2016 by the Academy of Nutrition and Dietetics.
COMMUNITY NUTRITION
Surveillance System fruit and vegetable module. Analyses were conducted with SPSS for Windows, version 23 (2015, IBM Inc).
Differences in fruit and vegetable intake by race/ethnicity and by Hispanic origin and nativity among women in the special supplemental nutrition program for women, infants, and children, 2015. Di Noia J, Monica D, Cullen KW, et al. Prev Chronic Dis. 2016; http://dx.doi.org/10.5888/ pcd13.160130.
Fruit and vegetable consumption and risk of cholecystectomy: A prospective cohort study of women and men. Nordenvall C, Oskarsson V, Wolk A. Eur J Nutr. 2016; http://dx.doi.org/10.1007/s00394-016-1298-6.
The researchers explore the differences in fruit and vegetable intake among women within the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) along racial and ethnic lines. The exploratory study utilized a cross-sectional design as it examined baseline data from a randomized controlled trial conducted by WIC Fresh Start. The sample included 723 lowincome women enrolled in the WIC. The mean age was 29 years, and 17% were pregnant at the time of the study with 22% breastfeeding. Of the group, 55% were deemed food insecure, 60% were Hispanic, 31% were non-Hispanic black, and 9% were non-Hispanic white or other. Of the Hispanics, 56% were born outside the United States and 50% of the sample reported having less than a high school or general equivalency degree. Eligibility criteria for the initial trial conducted by the WIC Fresh Start included: being pregnant, postpartum or female caregiver of an infant or child enrolled in WIC; no known dietary restrictions; not at high risk for nutritional or health problems as defined by WIC. Participants were recruited from a densely populated urban area of New Jersey and data were collected between June 1 and August 12, 2015. Participants were orally administered a questionnaire containing demographic information, food security status, and social desirability traits, along with the Behavioral Risk Factor
The researchers examine the relationship between fruit and vegetable consumption and the 14-year risk of symptomatic gallstone disease in both men and women of middle-age to senior years. A cohort study was utilized to examine the relationship. Two population-based cohorts were used which included 74,554 men and women born between 1914 and 1952. The first cohort—Swedish Mammography Cohort— contained 66,651 women aged 40 to 75 years at recruitment between 1987 and 1990. The second—Cohort of Swedish Men—contained 48,850 men between ages 45 and 79 years in 1997. Eligibility criteria included completion of a food frequency questionnaire in 1997. The questionnaire contained questions on education, smoking status, physical activity, use of aspirin, height, weight, hyperlipidemia, diabetes, use of oral contraceptives, and postmenopausal hormones. Body mass index was calculated as weight (kilograms) divided by height squared (meters). The fruit and vegetable consumption over a 1year period was measured via the questionnaire using a 96-item food list. For each item, one of eight frequency responses could be chosen. At baseline, researchers excluded individuals without personal identity numbers, implausible energy intakes, histories of cancer or cholecystectomy, as well as those missing data regarding fruit or vegetable consumption. Exclusionary criteria also included those who developed cancer of the duodenum,
NUTRITION SUPPORT
IN THIS ISSUE ABSTRACTS ............................................................................................................................. page 1855 PERIODICALS.......................................................................................................................... page 1859 SITES IN REVIEW ..................................................................................................................page 1868
Order Abstracted Articles at a Discount Did you know you can order the articles listed in New in Review through the Academy? You can for a nominal charge of $10. Simply e-mail a citation from New in Review (eg, Stensland SH, Sobal J. Dietary practices of ballet, jazz, and modern dancers. J Am Diet Assoc. 1992;92(3):319-324) to [email protected]. You will then be sent a link to pay for your article using a credit card. Articles are sent via e-mail and generally arrive within 3 business days.
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FROM THE ACADEMY liver, gallbladder, biliary ducts, or pancreas. Analyses were performed using Stata version 12 (2011, StataCorp).
PEDIATRIC Lipid screening in childhood and adolescence for detection of multifactorial dyslipidemia: Evidence report and systematic review for the U.S. Preventative Services Task Force. Lozana P, Henrikson N, Morrison C. JAMA. 2016;316(6):634-644. The authors seek a systematic review of the evidence on the associated benefits and harms as they pertain to screening youth for multifactorial dyslipidemia. The authors employ a systematic review of the evidence on the topic. The initial search yielded 7,137 unique abstracts and 537 full-text articles, of which 16 articles were utilized. The articles utilized in the review included 8 articles screening studies, 5 articles using treatment studies, 5 articles using treatment harms, and 1 study on the association between intermediate and adult health outcomes. A literature search was conducted using MEDLINE, PubMEd, BMJ Clinical Evidence, Canadian Agency for Drugs and Technologies in Health, Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, Health Technology Assessment, Institute for Clinical Systems Improvement, Institute of Medicine, and National Institute for Health and Clinical Evidence. The search includes studies published January 1, 2005 or later. The population of interest was humans under age 20 years. Eligible screening interventions included a lipid panel delivered in a universal or selective screening strategy. No studies which excluded youth were included, nor were studies with modes not relevant to primary care practice. For the statistical analysis, summary tables of study characteristics, population characteristics, intervention characteristics, and outcomes were generated separately. For treatment studies, lipid concentrations were expressed as percent change or difference from baseline. Data were not combined across treatment studies.
PUBLIC HEALTH Racial/ethnic disparities in meeting 5-21-0 recommendations among children and adolescents in the United States. Haughton C, Wang M, Lemon S. J Pediatr. 2016; http://dx.doi.org/10.1016/j.jpeds.2016. 03.055. The researchers investigate the racial and ethnic disparities in meeting nutritional guidelines among children and adolescents as part of an effort to understand and reduce obesity. A cross-sectional analysis of the National Health and November 2016 Volume 116 Number 11
Nutrition Examination Survey (NHANES) 2011-2012 was undertaken to compare a sample of youth against the Maine Youth Overweight Collaborative “Let’s Go! 5-21-0” youth obesity prevention program. The sample studied here included 1,954 American children aged 6 to 19 years. Four racial/ethnic categories were used: Hispanic (n¼608, 31%), non-Hispanic black (n¼609, 31%), Asian (n¼253, 13%), non-Hispanic white (n¼484, 25%). The sample was 47.5% female. Inclusionary criteria included participants who completed a household interview, mobile examination center interview, dietary recall questionnaire, completed their 5-21-0 participation information, and completed an NHANES questionnaire with a trained interviewer. The 5-2-1-0 program recommends more than five servings of fruits and vegetables per day, limiting screen time to under 2 hours a day, engaging in a minimum of 1 hour exercise per day, and consuming zero sugar-sweetened beverages per day. Adherence was measured by the surveys food frequency recalls and participation results from the 5-2-1-0 program. Covariates measured included body mass index, sex, parental marital status, household income-to-poverty ratio, and parental education level. Analyses were stratified by age range, and appropriate 2-year sample weights were applied in all analyses to account for the survey design and yield to a nationally representative sample. Frequency distributions of each variable were computed by race/ethnic group. Univariate and multivariate logistic regression models were also computed to evaluate the association of race/ethnicity with each target behavior. Multivariate models were adjusted to income-topoverty ratio and not parental education due to parental education and household income-to-poverty being highly collinear.
RESEARCH Effect of whey protein on blood lipid profiles: A meta-analysis of randomized controlled trials. Zhang J-W, Tong X, Wan Z, et al. Eur J Clin Nutr. 2016; http://dx.doi.org/10.1038/ejcn.2016.39. The authors examine whether the supplementation of whey and whey-related peptides has beneficial effects on lipid metabolism-related markers including triaclglycerol, total cholesterol, low-density lipoprotein (LDL) cholesterol and highdensity lipoprotein (HDL) cholesterol. The authors employ a meta-analysis of randomized control trials (RCTs) using the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. The meta-analysis ultimately contained 13 randomized control trials, all published between 2007 and 2014, 4 of which were conducted in the United States, 3 in Germany, 2 in Australia, 1 in Sweden, 1
in Russia,1 in Iran, and 1 in The Netherlands. A parallel design was used in all trials, and seven were double-blinded. Sample sizes varied from 18 to 190, with a total of 390 in intervention groups and 448 in control. Inclusionary criteria required the studies be: randomized control trials of whey protein or its derivatives; utilize human adults over the age 18, with participants treated for more than 4 weeks; include a control or comparison group; and report the net changes in lipid profiles (serum or plasma triglycerides, total cholesterol, LDL cholesterol, or HDL cholesterol) and their corresponding standard deviation to calculate values. The systematic literature search was performed on PubMed, Web of Science, and Cochrane library up to the end of March 2015 using the terms: whey or milk or dairy, in combination with triaclglycerol or triglyceride or cholesterol or lipoprotein or lipid. All analyses were conducted using STATA version 12.0 (2011, StataCorp).
SCHOOL NUTRITION Marketing vegetables in elementary school cafeterias to increase uptake. Hanks A, Just D, Brumberg A. Pediatrics. 2016; http://dx.doi.org/10.1542/peds.2015-1720. Researchers studied the impact marketing media using branded vegetable characters has on fruit and vegetable uptake in elementary school cafeterias, with a secondary aim of determining the difference student sex plays. The randomized control study utilized students from 10 elementary schools in an urban school district in the northeast United States. The study collected 22,206 student-day observations for the experiment. The schools are located in a district with median household income under $52,000 and 82% of the students receiving free/reduced lunch. The 6-week study was conducted between April 8 and May 24, 2013. Schools were randomly assigned into a control condition (n¼2) or one of three treatment conditions: vinyl banners (n¼2), television segments (n¼3), or vinyl banners and television segments (n¼3). Vinyl banners with vegetable characters across the front and television segments featuring vegetable characters delivering nutritional messages were displayed on flat screens. Banners were attached to the cafeteria salad bar and the screens were affixed to tables nearby. Students in the schools were blinded to the study. The researchers proposed three hypotheses: children in schools with vinyl banners will select more vegetables; children in schools with television segments will select more vegetables; or children in schools using both simultaneously will select more vegetables, although the effect will not be additive. Food records were collected from the schools, reporting the volume taken for each food item as well as the number of children receiving lunch. Trained observers
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FROM THE ACADEMY randomly visited the schools to count the number of boys and girls using the salad bar with hand clickers. Three outcome measures were derived: number of students taking vegetables, percentage of students taking vegetables calculated by dividing count values by the total number of children, and separate counts of girls and boys taking vegetables. For analysis, a random effects regression model with random effects was used at the school level. The independent variables indicate the intervention group to which a school was assigned, whether the observation is measured during intervention or baseline, and the interaction between these two variables. Results for food preparation were reported first, followed by count data. Reported values in the figures and calculated percent changes were derived from estimated means resulting from the fitted regression model. Reported P values correspond to interaction effects from the regression.
WELLNESS/PREVENTION Body-mass index and all-cause mortality: Individual-participant-data meta-analysis of 239 prospective studies in four continents. The Global BMI Mortality Collaboration. Lancet. 2016; http://dx.doi.org/10.1016/S0140-6736(16) 30175-1. The researchers investigate the relationship between body mass index and cause of death across five continents for the purpose of assessing the phenomenon in different populations. An individualparticipant-data meta-analysis was employed. The meta-analysis utilized 239 prospective studies from Asia, Australia, New Zealand, Europe, and North America including 10,625,411 participants. Of the participants, 455 people in 189 studies were never-smokers without specific chronic diseases at time of recruitment, who had all survived at least 5 years postrecruitment. The search was performed via MEDLINE, Embase, and Scopus, seeking studies from January 1970 to January 2015, using terms body-mass index, mortality, death, cohort, prospective, and the combination of words risk, relative, ratio, hazard, or rate. Prospective cohort studies or consortia were eligible if they contained information about weight, height, age, and sex; recorded overall cause-specific deaths; and had accrued 5 years or more of median follow-up. Studies were excluded if they selected participants on the basis of having previous chronic disease. The primary analyses are of deaths, study, age, and sex-adjusted hazard ratios relative to body mass index. Association of all-cause mortality with body mass index depends on both the associations of specific cause with body
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FROM THE ACADEMY mass index in different regions. Each study analyzed individual-participant data according to common analytical plan with SAS version 9.3 (2012, SAS Institute) and Stata version 12 (2011, StataCorp). These separate results were then meta-analyzed.
PERIODICALS BUSINESS & INDUSTRY Food waste: The role of date labels, package size, and product category. Wilson N, Rickard B, Saputo R, Ho S-T. Food Qual Prefer. 2016; http://dx.doi.org/10.1016/j. foodqual.2016.08.004. Popular nutrition-related mobile apps: A feature assessment. Franco R, Fallaize R, Lovegrove J, Hwang F. JMIR Mhealth Uhealth. 2016;4(3):e85. Using personal mobile phones to assess dietary intake in free-living adolescents: Comparison of face-To-face versus telephone training. Segovia-Siapco G, Sabate. J Med Internet Res. 2016;4(3):e91.
BEHAVIORAL HEALTH Intervention leads to improvements in the nutrient profile of snacks served in afterschool programs: A group randomized controlled trial. Beets M, Turner-McGievy B, Weaver G, et al. Behav Med Pract Policy Res. 2016;6(3):329-338. Theory-based interventions for longterm adherence to improvements in diet quality: An in-depth review. Vilaro M, Staub D, Xu C, Mathews A. Am J Lifestyle Med. 2016; http://dx.doi.org/10. 1177/1559827616661690. Feasibility, effectiveness and costeffectiveness of a telephone-based weight loss program delivered via a hospital outpatient setting. Whelan M, Goode A, Eakin E, Veerman J., et al. Behav Med Pract Policy Res. 2016;6(3):386-395. Structured dietary intervention to facilitate weight loss after bariatric surgery: A randomized, controlled pilot study. Kalarchian M, Marcus M, Courcoulas A, et al. Obesity. 2016; http://dx.doi.org/10.1002/oby. 21591. November 2016 Volume 116 Number 11
The short-term impact of dietary counseling on sodium intake and blood pressure in renal allograft recipients. Asai K, Kobayashi T, Miyata H, et al. Prog Transpl. 2016; http://dx.doi.org/10.1177/1526 924816664084. Effect of personalized nutrition on health-related behavior change: Evidence from the Food4me European randomized controlled trial. Celis-Morales C, Livingtone K, Marsaux C, et al. Int J Epidemiol. 2016; http://dx.doi.org/10. 1093/ije/dyw186. Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): A case-control study. O’Donnell M, Chin S, Rangarajan S, et al. Lancet. 2016;388(10046):761-775. Patients factors associated with initiation of behavioral weight loss treatment: A prospective observational study in an integrated care setting. McVay M, Yancy W, Scott C, et al. Transl Behav Med. 2016; http://dx.doi.org/10.1007/s13142016-0430-8. Menu labelling is effective in reducing energy ordered and consumed: A systematic review and meta-analysis of recent studies. Littlewood J, Lourenco S, Iversen C, Hansen G. Public Health Nutr. 2016;19(12):2106-2121. Nutritional education for management of osteodystrophy: Impact on serum phosphorus, quality of life, and malnutrition. Karavetian M, Elzein H, Rizk R, et al. Hemodial Int. 2016; http://dx.doi.org/10.1111/hdi.12405. Effect of an Internet-based, personalized nutrition randomized trial on dietary changes associated with the Mediterranean diet: The Food4Me Study. Livingstone K, Celis-Morales C, NavasCarretero S, et al. Am J Clin Nutr. 2016; http://dx.doi.org/10.3945/ajcn.115.129049.
CLINICAL NUTRITION NutritionDay ICU: A 7-year worldwide prevalence study of nutrition practice in intensive care. Bendavid I, Singer P, Theilla M, et al. Clin Nutr. 2016; http://dx.doi.org/10.1016/j.clnu.2016.07. 012.
Nutritional status of older patients with oropharyngeal dysphagia in a chronic versus an acute clinical situation. Carrion S, Roca M, Costa A, et al. Clin Nutr. 2016; http://dx.doi.org/10.1016/j.clnu.2016.07. 009. Association of the adductor pollicis muscle thickness with clinical outcomes in Intensive Care Unit patients. Ghorabi S, Ardehali H, Amiri Z, Shariatpanahi Z. Nutr Clin Pract. 2016; http://dx.doi.org/10. 1177/0884533615621547. A randomized, crossover, head-tohead comparison of eicosapentaenoic acid and docosahexaenoic acid supplementation to reduce inflammation markers in men and women: The Comparing EPA to DHA (ComparED) Study. Allaire J, Couture P, Leclerc M, et al. Am J Clin Nutr. 2016; http://dx.doi.org/10.3945/ajcn. 116.131896. Multidisciplinary interventions in the management of atopic dermatitis. LeBovidge J, Elverson W, Timmons K, et al. J Allergy Clin Immunol. 2016;138(2):325-334. Almond supplementation reduces serum uric acid in coronary artery disease patients: A randomized controlled trial. Jamshed H, Gilani A, Sultan F, et al. Nutr J. 2016; http://dx.doi.org/10.1186/s12937-0160195-4. Gastric versus small bowel feeding in critically ill adults. Schlein K. Nutr Clin Pract. 2016; http://dx.doi. org/10.1177/0884533616629633. Determining the accuracy of predictive energy expenditure (PREE) equations in severely obese adolescents. Steinberg A, Manlhiot C, Cordeiro K, et al. Clin Nutr. 2016; http://dx.doi.org/10.1016/j.clnu.2016. 08.006. The two most popular malnutrition screening tools in the light of the new ESPEN consensus definition of the diagnostic criteria for malnutrition. Poulia K-A, Klek S, Doundoulakis I, et al. Clin Nutr. 2016; http://dx.doi.org/10.1016/j.clnu. 2016.07.014.
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FROM THE ACADEMY Mode of oral iron administration and the amount of iron habitually consumed do not affect iron absorption, systematic iron utilization or zinc absorption in iron-sufficient infants: A randomized trial. Szymlek-Gay E, Domellof M, Hernell O, et al. Br J Nutr. 2016; http://dx.doi.org/10.1017/ S0007114516003032. Dietary choline and betaine; associations with subclinical markers of cardiovascular disease risk and incidence of CVD, coronary heart disease and stroke: The Jackson Heart Study. Millard H, Musani S, Diababa D, et al. Eur J Nutr. 2016; http://dx.doi.org/10.1007/s00394016-1296-8. Effect of soy protein isolate preload on postprandial glycemic control in healthy control in healthy humans. Kashima H, Uemoto S, Eguchi K, et al. Nutr. 2016; http://dx.doi.org/10.1016/j.nut.2016.02. 014. The dilemma of protein delivery in the intensive care unit. Veldsman L, Richards G, Blaauw R. Nutr. 2016; http://dx.doi.org/10.1016/j.nut.2016.02.010. Inflammation-driven malnutrition: A new screening tool predicts outcome in Crohn’s disease. Jansen I, Prager M, Valentini L, Buning C. Br J Nutr. 2016; http://dx.doi.org/10.1017/ S0007114516003044.
CULINARY The impact of education and cooking methods on serum phosphate levels in patients on hemodialysis: 1-year study. Vrdolijak I, Krbavcic I, Bituh M, et al. Hemodial Int. 2016; http://dx.doi.org/10.1111/hdi.12468. Vinegar as a functional ingredient to improve postprandial glycemic control e Human intervention findings and molecular mechanisms. Lim J, Henry C, Haldar S. Mol Nutr Food Res. 2016; http://dx.doi.org/10.1002/mnfr.2016 00121.
Clinical manifestations of kidney disease among U.S. adults with diabetes, 1988-2014. Afkarian M, Zelnick L, Hall Y, et al. JAMA. 2016; 316(6):602-610.
Bioactive compounds in banana and their associated health benefits. Singh B, Singh J, Kaur A, Singh N. Food Chem. 2016; http://dx.doi.org/10.1016/j.foodchem. 2016.03.033.
Diabetes mellitus and risk of falls in older adults: A systematic review and meta-analysis. Yang Y, Hu X, Zhang Q, Zou R. Age Ageing. 2016; http://dx.doi.org/10.1093/ageing/afw140.
Mediterranean diet and life expectancy; beyond olive oil, fruits, and vegetables. Martinez-Gonzalez M, Martin-Calvo N. Curr Opin Clin Nutr Metab Care. 2016; http://dx.doi. org/10.1097/MCO.0000000000000316.
Physical activity counseling by diabetes educators delivering diabetes selfmanagement education and support. Powell R, Siminerio L, Kriska A, Rickman A, Jakicic J. Diabetes Educ. 2016; http://dx.doi. org/10.1177/0145721716659148.
Sex differences in the effects of repeated taste exposure to the Mediterranean Diet: A 6-month follow-up study. Bedard A, Corneau L, Dodin S, Lemieux S. Can J Diet Pract Res. 2016;77(3):125-132.
DIABETES CARE
Effect of Omega-3 Acid ethyl esters on left ventricular remodeling after acute myocardial infarction. Heydari B, Abdullah S, Pottala J, et al. Circulation. 2016; http://dx.doi.org/10.1161/ CIRCULATIONAHA.115.019949.
Enhancing access to diabetes selfmanagement education in primary care. Chomko M, Odegard P, Evert A. Diabetes Educ. 2016; http://dx.doi.org/10.1177/014572171665 9147.
COMMUNITY NUTRITION
The impact of a home-based diabetes prevention and management program on high-risk American Indian youth. Kenney A, Chambers R, Rosenstock S, et al. Diabetes Educ. 2016; http://dx.doi.org/10.1177/ 0145721716658357.
The hospital community benefit program: Implications for food and nutrition professionals. Fleishhacker S, Ramachandran G. Nutr Today. 2016;51(4):191-193. Health and nutrition literacy and adherence to treatment in children, adolescents, and young adult with chronic kidney disease and hypertension, North Carolina, 2015. Patel N, Ferris M, Rak E. Prev Chronic Dis. 2016; http://dx.doi.org/10.5888/pcd13.160044. November 2016 Volume 116 Number 11
Impact of lifestyle interventions on depressive symptoms in individuals at-risk of, or with, type 2 diabetes mellitus: A systematic review and metaanalysis of randomized controlled trials. Cezaretto A, Ferreira S, Sharma S, Sadeghirad B, Kolahdooz F. Nutr Metab Cardiovasc Dis. 2016;26(8):649-662.
The effect of dietary counselling on food intakes in pregnant women at risk for gestational diabetes: A secondary analysis of a randomized controlled trial RADIEL. Valkama A, Koivusalo S, Lindstrom J, et al. Eur J Clin Nutr. 2016; http://dx.doi.org/10.1038/ ejcn.2015.205.
Does nutritional counseling in telemedicine improve treatment outcomes for diabetes? A systematic review and meta-analysis of results from 92 studies. Su D, McBride C, Zhou J, Kelley M. J Telemed Telecare. 2016; http://dx.doi.org/10.1177/ 1357633X15608297. Telemedicine compared with standard care in type 2 diabetes mellitus: A randomized trial in an outpatient clinic. Rasmussen O, Lauszus F, Loekke M. J Telemed Telecare. 2016; http://dx.doi.org/10.1177/ 1357633X15608984. Medical care costs associated with long-term weight maintenance versus weight gain among patients with type 2 diabetes. Nichols G, Bell K, Kimes T, O’Keeffe-Rosetti M. Diabetes Care. 2016; http://dx.doi.org/10.2337/ dc16-0933. Consumption of meals prepared at home and risk of type 2 diabetes: An analysis of two prospective cohort studies. Zong G, Eisenberg D, Hu F, Sun Q. PLOS Medicine. 2016; http://dx.doi.org/10.1371/ journal.pmed.1002052.
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FROM THE ACADEMY Does reducing basal insulin during Ramadan fasting by children and adolescents with Type 1 Diabetes decrease the risk of symptomatic hypoglycemia. Deeb A, Qahtani A, Attia S, et al. Diabetes Technol Ther. 2016; http://dx.doi.org/10.1089/ dia.2016.0197. Changes in HbA1c and weight following transition to continuous subcutaneous insulin infusion therapy in adults with type 1 diabetes. Mehta S, Andersen H, Abrahamson M, et al. J Diabetes Sci Technol. 2016; http://dx.doi.org/ 10.1177/1932296816658900. Insulin injection into lipohypertrophic tissue: Blunted and more variable insulin absorption and action and impaired postprandial glucose control. Famulla S, Hovelmann U, Fischer A, et al. Diabetes Care. 2016;39(9):1486-1492. Optimized mealtime insulin dosing for fat and protein in type 1 diabetes: Application of a model-based approach to derive insulin doses for open-loop diabetes management. Bell K, Toschi E, Steil G, Wolpert H. Diabetes Care. 2016;39(9):1631-1634.
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Gastric bypass reduces symptoms and hormonal responses in hypoglycemia. Abrahamsson N, Borjesson J, Sundborn M, et al. Diabetes. 2016;65(9):2667-2675.
EDUCATION Assessment of registered dietitians’ beliefs and practices for a nutrition counseling approach. Taylor L, Moriartey S, Stadnyk J, BasualdoHammond C. Can J Diet Pract Res. 2016;77(3):140-147.
GERONTOLOGY Malnutrition in very old hospitalized patients: A new etiologic factor of anemia? Frangos E, Trombetti A, Graf E, et al. J Nutr Health Aging. 2016;20(7):705-713. Sarcopenic obesity: An appraisal of the current status of knowledge and management in elderly people. Molino S, Dossena M, Buonocore D, et al. J Nutr Health Aging. 2016;20(7):780-788.
JOURNAL OF THE ACADEMY OF NUTRITION AND DIETETICS
Vitamin B-12 status and neurologic function in older people: A crosssectional analysis of baseline trial data from the Older People and Enhanced Neurological Function (OPEN) Study. Miles L, Allen E, Mills K, et al. Am J Clin Nutr. 2016; http://dx.doi.org/10.3945/ajcn.116.137927. Teaching professional practice: Using interactive learning assessments to simulate the nutrition care process. McKay T, Yakes E, Svihla V, et al. Top Clin Nutr. 2016;31(3):257-266.
LONG-TERM CARE Association between tooth loss, with or without dental prostheses, and malnutrition risk in older adults: A systematic review. Zelig R, Touger-Decker R, Chung M, et al. Top Clin Nutr. 2016;31(3):232-247.
MANAGEMENT/ADMINISTRATION Improving healthy eating and the bottom line: Impact a price incentive program in two hospital cafeterias. Patsch Amy, Smith J, Liebert M, Behrens T, Charles T. Am J Health Promot. 2016; http://dx. doi.org/10.1177/0890117116658237.
November 2016 Volume 116 Number 11
FROM THE ACADEMY NUTRITION SUPPORT Transition to a tube-feeding formula with real food ingredients in pediatric patients with intestinal failure. Samela K, Mokha J, Emerick K, Davidovics Z. Nutr Clin Pract. 2016; http://dx.doi.org/ 10.1177/0884533616661011. The successful accomplishment of nutritional and clinical outcomes via the implementation of a multidisciplinary nutrition support team in the neonatal intensive care unit. Jeong E, Jung Y, Shin S, et al. BMC Pediatrics. 2016; http://dx.doi.org/10.1186/s12887-0160648-0. Home parenteral nutrition: Fat emulsions and potential complications. Mundi M, Salonen B, Bonnes S. Nutr Clin Pract. 2016; http://dx.doi.org/10.1177/088453361666 3635. Factors associated with gastronomy tube removal in patients with dysphagia after stroke: A review of the literature. Wilmskoetter J, Herbert T, Bonilha H. Nutr Clin Pract. 2016; http://dx.doi.org/10.1177/ 0884533616661012. Thirty-day readmission rate is high for hospitalized patients discharged with home parenteral nutrition or intravenous fluids. Vallabh H, Konrad D, DeChicco R, et al. J Parenter Enteral Nutr. 2016; http://dx.doi.org/ 10.1177/0148607116664785. Nasogastric tube feeding for individuals with anorexia nervosa: An integrative review. Kells M, Kelly-Weeder S. J Am Psychiatr Nurses Assoc. 2016; http://dx.doi.org/10.1177/10783 90316657872. Transitioning preterm infants from parenteral nutrition: A comparison of two protocols. Miller M, Donda K, Bhutada A, et al. J Parenter Enteral Nutr. 2016; http://dx.doi.org/10.1177/ 0148607116664560. Pediatric gastrojejunostomy tube replacement: Effects of communication on the need for after-hours procedures. Sharafinski M, Sehnert E, Moe D, et al. J Pediatr Gastroenterol Nutr. 2016;63(3):e27-e30. November 2016 Volume 116 Number 11
Hypophosphatemia in enterally-fed patients in the surgical Intensive Care Unit: Common but unrelated to timing of initiation or aggressive of nutrition delivery. Fuentes E, Yeh D, Quraishi S, et al. Nutr Clin Pract. 2016; http://dx.doi.org/10.1177/ 0884533616662988. Validation of test weighing protocol to estimate enteral feeding volumes in preterm infants. Rankin M, Jimenez E, Caraco M, et al. J Pediatr. 2016; http://dx.doi.org/10.1016/j.jpeds.2016. 08.011. Effects of multistrain probiotic supplementation on glycemic and inflammatory indices in patients with non-alcoholic fatty liver disease: A double-blind randomized clinical trial. Sepideh A, Karim P, Hossein A, et al. J Am Coll Nutr. 2016; http://dx.doi.org/10.1080/ 07315724.2015.1031355. Comparison between handgrip dynamometry and manual muscle testing performed by Registered Dietitians in measuring muscle strength. Dowhan L, DeChicco R, Welsh R, et al. J Parenter Enteral Nutr. 2016; http://dx.doi.org/ 10.1177/0148607115580647. Vitamin D and atopic dermatitis: A systematic review and meta-analysis. Kim G, Bae J-H. Nutr. 2016; http://dx.doi.org/ 10.1016/j.nut.2016.01.023.
ONCOLOGY
PEDIATRICS Maternal hemoglobin concentration during gestation and risk of anemia in infancy: Secondary analysis of a randomized control trial. Zhang Y, Jin L, Liu J, Ye R, Ren A. J Pediatr. 2016; http://dx.doi.org/10.1016/j.jpeds.2016. 05.011. New Health Canada nutrition recommendations for infants birth to 24 months address the importance of early nutrition. Perreault M, Mikail S, Atkinson S. Nutr Today. 2016;51(4):186-190. Age at introduction of solid foods and feeding difficulties in childhood: Findings from the Southampton Women’s Survey. Hollis J, Crozier S, Inskip H, et al. Br J Nutr. 2016;116(4):743-750. Impact of optimized breastfeeding on the costs of necrotizing enterocolitis in extremely low birthweight infants. Colaizy T, Bartick M, Jegier B, et al. J Pediatr. 2016; http://dx.doi.org/10.1016/j.jpeds.2016. 03.040. Effect of vitamin E with therapeutic iron supplementation on iron repletion and gut microbiome in U.S. iron deficient infants and toddlers. Tang M, Frank D, Sherlock L, et al. J Pediatr Gastroenterol Nutr. 2016;63(3):379-385. Hypertransaminasemia in newly diagnosed pediatric patients with celiac disease. Grace L, Boyle B, Ediger T, et al. J Pediatr Gastroenterol Nutr. 2016;63(3):340-343.
Detailed dietary assessment in patients with inoperable tumors: Potential deficits for Nutrition Care Plans. Vidra N, Kontogianni M, Schina E, Gioulbasanis I. Nutr Cancer. 2016; http://dx.doi.org/10.1080/ 01635581.2016.1213867.
Introduction of complementary feeding before 4 months of age increases the risk of childhood overweight or obesity: A meta-analysis of prospective cohort studies. Wang J, Wu Y, Xiong G, et al. Nutr Res. 2016;36(8):759-770.
The Western dietary pattern is associated with increased serum concentrations of free estradiol in postmenopausal women: Implications for breast cancer prevention. Sanchez-Zamorano L, Flores-Luna L, AngelesLlerenas A, et al. Nutr Res. 2016;36(8): 845-854.
Nonalcoholic fatty liver is not associated with the relationship between insulin secretion and insulin sensitivity in obese children: Matched casecontrol study. Bedogni G, Mari A, De Col A, et al. Childhood Obes. 2016; http://dx.doi.org/10.1089/chi. 2016.0141.
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FROM THE ACADEMY PUBLIC HEALTH U.S. States’ childhood obesity surveillance practices and recommendations for improving them, 2014-2015. Blondin K, Giles C, Cradock A, Gortmaker S, Long M. Prev Chronic Dis. 2016; http://dx.doi. org/10.5888/pcd13.160060. State-level trends and correlates for cross-sector collaboration on school nutrition and physical education activities, 2000-2012. Pelletier J, Laska M, MacLehose R, et al. Prev Chronic Dis. 2016; http://dx.doi.org/10.5888/ pcd13.160032. Blood lead levels in young children: U.S. 2009-2015. McClure L, Niles J, Kaufman H. J Pediatr. 2016; http://dx.doi.org/10.1016/j.jpeds.2016.05.005. Addressing household food insecurity in Canada e Position statement and recommendations e Dietitians of Canada. Can J Diet Pract Res. 2016;77(3):159. Diagnosed and undiagnosed diabetes prevalence by country in the U.S., 1999-2012. Dwyer-Lindren L, Mackenbach J, van Lenthe F, et al. Diabetes Care. 2016;39(9):1556-1562. Update of the centers for Medicare and Medicaid obesity benefit: 2012-2013. Batsis J, Bynum J. Obes. 2016; http://dx.doi. org/10.1002/oby.21578. Trends in prevalence of chronic kidney disease in the United States. Murphy D, McCulloch C, Lin F, et al. Ann Intern Med. 2016; http://dx.doi.org/10.7326/M160273.
Diabetes diagnosis and nutrition facts label use among U.S. adults, 20052010. An R. Public Health Nutr. 2016;19(12):21492156. Vegetarianism and cardiometabolic disease risk factors: Differences between South Asian and U.S. adults. Jaacks L, Kapoor D, Singh K, et al. Nutr. 2016; http://dx.doi.org/10.1016/j.nut.2016.02.011.
RENAL NUTRITION Intravenous vitamin B6 increases resistance to erythropoiesisstimulating agents in hemodialysis patients: A randomized controlled trial. Yoshitsugu O, Mikami S Hamano T, et al. J Ren Nutr. 2016; http://dx.doi.org/10.1053/j.jrn. 2016.06.004. The effect of zinc deficiency on salt taste acuity, preference, and dietary sodium intake in hemodialysis patients. Kim S, Kim M, Lee E, et al. Hemodial Int. 2016; http://dx.doi.org/10.1111/hdi.12388.
RESEARCH Research interest and research involvement among U.S. registered dietitian nutritionists. Boyd M, Byham-Gray L, Touger-Decker R, et al. Top Clin Nutr. 2016;31(3):267-277. High intake of fatty fish, but not of lean fish, affects serum concentrations of TAG and HDL-cholesterol in healthy, normal-weight adults: A randomized trial. Hagen I, Helland A, Bratlie M, et al. Br J Nutr. 2016;116(4):648-657.
Evaluation of the Farmers’ Markets for Kids programme. Dannefer R, Bryan E, Osborne A, Sacks R. Public Health Nutr. 2016; http://dx.doi.org/10.1017/ S1368980016001725.
Effect of vitamin D3 supplementation on blood pressure in adults: An updated meta-analysis. Golzarand M, Shab-Bidar S, Koochakpoor G, Speakman R, Djafarian K. Nutr Metab Cardiovasc Dis. 2016;26(8):663-673.
Cardiometabolic risk and factor changes observed in diabetes prevention programs in U.S. settings: A systematic review and meta-analysis. Mudaliar U, Zabetian A, Goodman M, et al. PLOS Medicine. 2016; http://dx.doi.org/ 10.1371/journal.pmed.1002095.
Probiotics and prebiotic fiber for constipation associated with Parkinson disease: An RCT. Barichella M, Pacchetti C, Bolliri C, et al. Neurology. 2016; http://dx.doi.org/10.1212/ WNL.0000000000003127.
November 2016 Volume 116 Number 11
Association of animal and plant protein intake with all-cause and causespecific mortality. Song M, Fung T, Hu F, et al. JAMA Intern Med. 2016; http://dx.doi.org/10.1001/jamainternmed. 2016.4182. Effects of saturated fat, polyunsaturated fat, monounsaturated fat, and carbohydrate on glucose-insulin homeostasis: A systematic review and meta-analysis of randomized controlled feeding trials. Imamura F, Micha R, Wu J, et al. PLOS Medicine. 2016; http://dx.doi.org/10.1371/journal. pmed.1002087. Frequent consumption of sugar e and artificially sweetened beverages and natural and bottled fruit juices is associated with an increased risk of metabolic syndrome in a Mediterranean population at high cardiovascular disease risk. Ferreira-Pego C, Babio N, Bes-Rastrollo M, et al. J Nutr. 2016; http://dx.doi.org/10.3945/jn.116. 230367. Bioavailability of tomato polyphenols is enhanced by processing and fat addition: Evidence from a randomized feeding trial. Martinez-Huelamo M, Vallverdu-Queralt A, Lecce G, et al. Mol Nutr Food Res. 2016; http:// dx.doi.org/10.1002/mnfr.201500820. No evidence for metabolic adaptation in thermic effect of food by dietary protein. Sutton E, Bray G, Burton J, et al. Obesity. 2016; http://dx.doi.org/10.1002/oby.21541. Cheese consumption and risk of cardiovascular disease: A meta-analysis of prospective studies. Chen G-C, Wang Y, Tong X, et al. Eur J Nutr. 2016; http://dx.doi.org/10.1007/s00394-016-1292-z. First-stage development and validation of a Web-Based Automated Dietary Modeling Tool: Using constraint optimization techniques to streamline food group and macronutrient focused dietary prescriptions for clinical trials. Probst Y, Morrison E, Sullivan, Dam H. J Med Internet Res. 2016;18(7):e190. Concordance of dietary sodium intake and concomitant phosphate load: Implications for sodium interventions. Humalda J, Keyzer C, Binnenmars S, et al. Nutr Metab Cardiovasc Dis. 2016;26(8):689-696.
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FROM THE ACADEMY Soy isoflavone intake is associated with risk of Kawasaki disease. Portman M, Navarro S, Bruce M, Lampe J. Nutr Res. 2016;36(8):827-834.
SCHOOL NUTRITION Get into formation for culinary boot camp. Casselbury K. School Nutr. 2016;70(7):64. A look at the (CN) Label. Fitzgerald P. School Nutr. 2016;70(7):81.
SPORTS NUTRITION Potential harmful effects of dietary supplements in sports medicine. Deldicque L, Francaux M. Curr Opin Clin Nutr Metab Care. 2016; http://dx.doi.org/10.1097/ MCO.0000000000000321. Protein intake for athletes and active adults: Current concepts and controversies. Egan B. Nutrition Bulletin. 2016; http://dx.doi. org/10.1111/nbu.12215.
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WEIGHT MANAGEMENT Greater healthful dietary variety is associated with greater 2-year changes in weight and adiposity in the Preventing Overweight Using Novel Dietary Strategies (POUNDS Lost) Trial. Vadiveloo M, Sacks F, Champagne C, et al. J Nutr. 2016; http://dx.doi.org/10.3945/jn.115. 224683. Impact of newer self-monitoring technology and brief phone-based intervention on weight loss: A randomized pilot study. Ross K, Wing R. Obes. 2016; http://dx.doi.org/ 10.1002/oby.21536. Association of the magnitude of weight loss and changes in physical fitness with long-term cardiovascular disease outcomes in overweight or obese people with type 2 diabetes: A post-hoc analysis of the Look AHEAD randomized clinical trial. Look Ahead Research Group. Lancet Diabetes Endocrinol. 2016; http://dx.doi.org/10.1016/ S2213-8587(16)30162-0.
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Normal-weight obesity syndrome: Diagnosis, prevalence, and clinical implications. Franco L, Morais C, Cominetti C. Nutr Rev. 2016;74(9):558-570. Models of energy homeostasis in response to maintenance of reduced body weight. Rosenbaum M, Leibel R. Obesity. 2016; http:// dx.doi.org/10.1002/oby.21559.
WELLNESS/PREVENTION Improvements in health behaviors, eating self-efficacy, and goal-setting skills following participation in wellness coaching. Clark M, Bradley K, Jenkins S, et al. Am J Health Promot. 2016; http://dx.doi.org/10.4278/ ajhp.140627-QUAL-304. Trends in biometric health indices within an employer-sponsored wellness program with outcome-based incentives. Fu P, Bradley K, Viswanathan S, Chan J, Stampfer M. Am J Health Promot. 2016; http:// dx.doi.org/10.1177/0890117116658241.
November 2016 Volume 116 Number 11
FROM THE ACADEMY The effect of breakfast on appetite regulation, energy balance and exercise performance. Clayton D, James L. Proc Nutr Soc. 2016;75(3):319-327.
Promoting healthy eating and physical activity behaviors: A systematic review of multiple health behavior change interventions among cancer survivors. Amireault S, Fong A, Sabiston C. Am J Lifestyle Med. 2016; http://dx.doi.org/10.1177/155 9827616661490.
Fruit and vegetable intake and physical activity as predictors of disability risk factors in African-American middleaged individuals. Reibeiro S, Morley JE. J Nutr Health Aging. 2016; http://dx.doi.org/10.1007/s12603-016-0780-4.
The effect of tobacco cessation on weight gain, obesity, and diabetes risk. Bush T, Lovejoy J, Deprey M, Carpenter K. Obesity. 2016; http://dx.doi.org/10.1002/oby. 21582.
A review of the relative efficacy of dietary, nutritional supplements, lifestyle and drug therapies in the management of hypertension. Caligiuri S, Pierce G. Crit Rev Food Sci Nutr. 2016; http://dx.doi.org/10.1080/10408398.2 016.1142420.
Effects on cardiovascular risk factors of weight losses limited to 5-10%. Brown J, Buscemi J, Milsom V, Malcolm R, O’Neil P. Behav Med Pract Policy Res. 2016;6(3):339-346.
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WOMEN’S HEALTH Maternal obesity during pregnancy is negatively associated with maternal and neonatal iron status. Jones A, Zhao G, Jiang Y, et al. Eur J Clin Nutr. 2016; http://dx.doi.org/10.1038/ejcn.2015.229. Racial and ethnic differences in breastfeeding. McKinney C, Hahn-Holbrook J, Chase-Lansdale L, et al. Pediatrics. 2016; http://dx.doi.org/ 10.1542/peds.2015-2388. Regular moderate exercise throughout pregnancy not associated with increased risk of preterm delivery. Di Mascio D, Magro-Malosso ER, Saccone G, et al. J Clin Outcomes Manag. 2016;23(8): 346-350.
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FROM THE ACADEMY Vitamin D metabolism varies among women in different reproductive states consuming the same intakes of Vitamin D and related nutrients. Park H, Brannon P, West A, et al. J Nutr. 2016; http://dx.doi.org/10.3945/jn.116.229971. The Female Athlete Triad. Kelly A, Hecht S. Pediatrics. 2016; http://dx.doi. org/10.1542/peds.2016-0922. Soy isoflavones and glucose metabolism in menopausal women: A systematic review and meta-analysis of randomized controlled trials. Fang K, Dong H, Wang D, et al. Mol Nutr Food Res. 2016; http://dx.doi.org/10.1002/mnfr.2015 01024.
SITES IN REVIEW These web resources complement the original research: brief “Evaluation of a modified Italian European Prospective Investigation into Cancer and Nutrition food frequency questionnaire for individuals with celiac disease” (pp 1810-1816) published in the November issue of the Journal.
Sites in Review Editor: Donna L. Hollinger, MS, RDN, LD
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National Institute of Diabetes and Digestive and Kidney Diseases: Celiac Disease https://www.niddk.nih.gov/health-information/ health-topics/digestive-diseases/celiac-disease/ Pages/overview.aspx The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), estimated to be the fifth largest institute at the National Institutes of Health, conducts and supports research involving major diseases impacting public health as well as disseminates research findings. Digestive diseases such as celiac disease and nutrition are one of the Institute’s primary research areas. According to research by A. Rubio-Tapia and colleagues cited on the NIDDK’s Celiac Disease website, the prevalence of celiac disease in the United States was found to be 0.71%, or one in every 141 individuals aged 6 years or older, with the majority of individuals unaware of their diagnosis. The NIDDK’s Celiac Disease website is easy to navigate and features a variety of resources available in English as well as Spanish. The website provides an overview of celiac disease addressing symptoms, diagnosis, common comorbidities, and long-term complications. The website highlights the role of nutrition in the treatment of celiac disease and promotes the role of registered dietitian nutritionists in providing nutrition counseling regarding a gluten-free diet. The Academy of Nutrition and Dietetics, along with its website link, is listed as an organization that provides support to
JOURNAL OF THE ACADEMY OF NUTRITION AND DIETETICS
individuals with celiac disease as well as serving as a resource for health professionals.
United States National Library of Medicine: Medline Plus - Celiac Disease https://medlineplus.gov/celiacdisease.html Medline Plus, produced by the National Library of Medicine, offers consumers as well as health professionals evidencebased information for over 975 diseases and health conditions. Updated daily, MedlinePlus provides site users with the most current health information available in English as well as Spanish website versions. MedlinePlus can be accessed from a desktop, tablet, or phone and has over 1 million daily visitors. Medline Plus’s Celiac Disease website features a “Basics” section that provides a celiac disease summary as well as celiac disease symptoms and diagnosis. This section also delivers a “Latest News” feature to keep site users informed of new developments and cutting edge research findings. Current celiac disease prevalence figures along with relevant legislative updates are part of the website’s “Research” section. Also included in the “Research” section is a link to celiac disease research studies posted on ClinicalTrials.gov. The “Find an Expert” website section contains a link to the Academy’s “Find an Expert” webpage enabling site users to search for a registered dietitian nutritionist by zip code or area of expertise.
November 2016 Volume 116 Number 11
New in Review
ABSTRACTS CLINICAL NUTRITION Impact of nutritional support that does and does not meet guideline standards on clinical outcome in surgical patients at nutritional risk: A prospective cohort study. Sun D-L, Li W-M, Li S-M, et al. Nutr J. 2016; http://dx.doi.org/10.1186/s12937-016-0193-6. The researchers compare the impact of nutritional support on clinical outcomes in patients at nutritional risk who underwent major abdominal surgery and received guideline-recommended support vs those who did not. A prospective cohort study was employed at the Second Affiliated Hospital of Kunming Medical University between February 2010 and June 2012. During the study, 525 patients determined to be at nutritional risk were enrolled in one of the two cohorts. The total group was 54.85% male with a mean age of 64.6 years. Inclusion criteria included: undergoing major abdominal surgery, partial gastrectomy, full stomach resection, colorectal resection, pancreaticojejunostomy, biliary-enteric anastomosis, hepatectomy, biliary exploratory surgery, duodenal resection, and small-bowel resection; age between 18 and 90 years; willingness to participate; capability of communicating with researchers; screened for nutritional risk via the Nutritional Risk Screening-2002 (NRS-2002) with a resulting risk under 3 points; and hospitalized for more than 7 days. Exclusionary criteria included: pregnancy; impaired cognitive function; absence of a face-to-face examination within 48 hours of admission; severe illness or transfer from the intensive care union; emergency surgery; receiving more calories or nitrogen than recommended by guidelines. Cohort 1 was determined to be patients who received nutritional support meeting the guideline standards (n¼205), and Cohort 2 (n¼320) included those who did not meet the standards. EpiData software 3.0 (2007) was used to establish a database, and Excel 2010 (Microsoft Corp) to organize data. Binary logistic regression analysis was used to analyze the risk factors (sex, age, body mass index, weight loss, reduced food intake, nutrition support, energy, and nitrogen). SPSS 18.0 (2009, SPSS Inc) was used for the statistical analysis. ª 2016 by the Academy of Nutrition and Dietetics.
COMMUNITY NUTRITION
Surveillance System fruit and vegetable module. Analyses were conducted with SPSS for Windows, version 23 (2015, IBM Inc).
Differences in fruit and vegetable intake by race/ethnicity and by Hispanic origin and nativity among women in the special supplemental nutrition program for women, infants, and children, 2015. Di Noia J, Monica D, Cullen KW, et al. Prev Chronic Dis. 2016; http://dx.doi.org/10.5888/ pcd13.160130.
Fruit and vegetable consumption and risk of cholecystectomy: A prospective cohort study of women and men. Nordenvall C, Oskarsson V, Wolk A. Eur J Nutr. 2016; http://dx.doi.org/10.1007/s00394-016-1298-6.
The researchers explore the differences in fruit and vegetable intake among women within the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) along racial and ethnic lines. The exploratory study utilized a cross-sectional design as it examined baseline data from a randomized controlled trial conducted by WIC Fresh Start. The sample included 723 lowincome women enrolled in the WIC. The mean age was 29 years, and 17% were pregnant at the time of the study with 22% breastfeeding. Of the group, 55% were deemed food insecure, 60% were Hispanic, 31% were non-Hispanic black, and 9% were non-Hispanic white or other. Of the Hispanics, 56% were born outside the United States and 50% of the sample reported having less than a high school or general equivalency degree. Eligibility criteria for the initial trial conducted by the WIC Fresh Start included: being pregnant, postpartum or female caregiver of an infant or child enrolled in WIC; no known dietary restrictions; not at high risk for nutritional or health problems as defined by WIC. Participants were recruited from a densely populated urban area of New Jersey and data were collected between June 1 and August 12, 2015. Participants were orally administered a questionnaire containing demographic information, food security status, and social desirability traits, along with the Behavioral Risk Factor
The researchers examine the relationship between fruit and vegetable consumption and the 14-year risk of symptomatic gallstone disease in both men and women of middle-age to senior years. A cohort study was utilized to examine the relationship. Two population-based cohorts were used which included 74,554 men and women born between 1914 and 1952. The first cohort—Swedish Mammography Cohort— contained 66,651 women aged 40 to 75 years at recruitment between 1987 and 1990. The second—Cohort of Swedish Men—contained 48,850 men between ages 45 and 79 years in 1997. Eligibility criteria included completion of a food frequency questionnaire in 1997. The questionnaire contained questions on education, smoking status, physical activity, use of aspirin, height, weight, hyperlipidemia, diabetes, use of oral contraceptives, and postmenopausal hormones. Body mass index was calculated as weight (kilograms) divided by height squared (meters). The fruit and vegetable consumption over a 1year period was measured via the questionnaire using a 96-item food list. For each item, one of eight frequency responses could be chosen. At baseline, researchers excluded individuals without personal identity numbers, implausible energy intakes, histories of cancer or cholecystectomy, as well as those missing data regarding fruit or vegetable consumption. Exclusionary criteria also included those who developed cancer of the duodenum,
NUTRITION SUPPORT
IN THIS ISSUE ABSTRACTS ............................................................................................................................. page 1855 PERIODICALS.......................................................................................................................... page 1859 SITES IN REVIEW ..................................................................................................................page 1868
Order Abstracted Articles at a Discount Did you know you can order the articles listed in New in Review through the Academy? You can for a nominal charge of $10. Simply e-mail a citation from New in Review (eg, Stensland SH, Sobal J. Dietary practices of ballet, jazz, and modern dancers. J Am Diet Assoc. 1992;92(3):319-324) to [email protected]. You will then be sent a link to pay for your article using a credit card. Articles are sent via e-mail and generally arrive within 3 business days.
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FROM THE ACADEMY liver, gallbladder, biliary ducts, or pancreas. Analyses were performed using Stata version 12 (2011, StataCorp).
PEDIATRIC Lipid screening in childhood and adolescence for detection of multifactorial dyslipidemia: Evidence report and systematic review for the U.S. Preventative Services Task Force. Lozana P, Henrikson N, Morrison C. JAMA. 2016;316(6):634-644. The authors seek a systematic review of the evidence on the associated benefits and harms as they pertain to screening youth for multifactorial dyslipidemia. The authors employ a systematic review of the evidence on the topic. The initial search yielded 7,137 unique abstracts and 537 full-text articles, of which 16 articles were utilized. The articles utilized in the review included 8 articles screening studies, 5 articles using treatment studies, 5 articles using treatment harms, and 1 study on the association between intermediate and adult health outcomes. A literature search was conducted using MEDLINE, PubMEd, BMJ Clinical Evidence, Canadian Agency for Drugs and Technologies in Health, Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, Health Technology Assessment, Institute for Clinical Systems Improvement, Institute of Medicine, and National Institute for Health and Clinical Evidence. The search includes studies published January 1, 2005 or later. The population of interest was humans under age 20 years. Eligible screening interventions included a lipid panel delivered in a universal or selective screening strategy. No studies which excluded youth were included, nor were studies with modes not relevant to primary care practice. For the statistical analysis, summary tables of study characteristics, population characteristics, intervention characteristics, and outcomes were generated separately. For treatment studies, lipid concentrations were expressed as percent change or difference from baseline. Data were not combined across treatment studies.
PUBLIC HEALTH Racial/ethnic disparities in meeting 5-21-0 recommendations among children and adolescents in the United States. Haughton C, Wang M, Lemon S. J Pediatr. 2016; http://dx.doi.org/10.1016/j.jpeds.2016. 03.055. The researchers investigate the racial and ethnic disparities in meeting nutritional guidelines among children and adolescents as part of an effort to understand and reduce obesity. A cross-sectional analysis of the National Health and November 2016 Volume 116 Number 11
Nutrition Examination Survey (NHANES) 2011-2012 was undertaken to compare a sample of youth against the Maine Youth Overweight Collaborative “Let’s Go! 5-21-0” youth obesity prevention program. The sample studied here included 1,954 American children aged 6 to 19 years. Four racial/ethnic categories were used: Hispanic (n¼608, 31%), non-Hispanic black (n¼609, 31%), Asian (n¼253, 13%), non-Hispanic white (n¼484, 25%). The sample was 47.5% female. Inclusionary criteria included participants who completed a household interview, mobile examination center interview, dietary recall questionnaire, completed their 5-21-0 participation information, and completed an NHANES questionnaire with a trained interviewer. The 5-2-1-0 program recommends more than five servings of fruits and vegetables per day, limiting screen time to under 2 hours a day, engaging in a minimum of 1 hour exercise per day, and consuming zero sugar-sweetened beverages per day. Adherence was measured by the surveys food frequency recalls and participation results from the 5-2-1-0 program. Covariates measured included body mass index, sex, parental marital status, household income-to-poverty ratio, and parental education level. Analyses were stratified by age range, and appropriate 2-year sample weights were applied in all analyses to account for the survey design and yield to a nationally representative sample. Frequency distributions of each variable were computed by race/ethnic group. Univariate and multivariate logistic regression models were also computed to evaluate the association of race/ethnicity with each target behavior. Multivariate models were adjusted to income-topoverty ratio and not parental education due to parental education and household income-to-poverty being highly collinear.
RESEARCH Effect of whey protein on blood lipid profiles: A meta-analysis of randomized controlled trials. Zhang J-W, Tong X, Wan Z, et al. Eur J Clin Nutr. 2016; http://dx.doi.org/10.1038/ejcn.2016.39. The authors examine whether the supplementation of whey and whey-related peptides has beneficial effects on lipid metabolism-related markers including triaclglycerol, total cholesterol, low-density lipoprotein (LDL) cholesterol and highdensity lipoprotein (HDL) cholesterol. The authors employ a meta-analysis of randomized control trials (RCTs) using the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. The meta-analysis ultimately contained 13 randomized control trials, all published between 2007 and 2014, 4 of which were conducted in the United States, 3 in Germany, 2 in Australia, 1 in Sweden, 1
in Russia,1 in Iran, and 1 in The Netherlands. A parallel design was used in all trials, and seven were double-blinded. Sample sizes varied from 18 to 190, with a total of 390 in intervention groups and 448 in control. Inclusionary criteria required the studies be: randomized control trials of whey protein or its derivatives; utilize human adults over the age 18, with participants treated for more than 4 weeks; include a control or comparison group; and report the net changes in lipid profiles (serum or plasma triglycerides, total cholesterol, LDL cholesterol, or HDL cholesterol) and their corresponding standard deviation to calculate values. The systematic literature search was performed on PubMed, Web of Science, and Cochrane library up to the end of March 2015 using the terms: whey or milk or dairy, in combination with triaclglycerol or triglyceride or cholesterol or lipoprotein or lipid. All analyses were conducted using STATA version 12.0 (2011, StataCorp).
SCHOOL NUTRITION Marketing vegetables in elementary school cafeterias to increase uptake. Hanks A, Just D, Brumberg A. Pediatrics. 2016; http://dx.doi.org/10.1542/peds.2015-1720. Researchers studied the impact marketing media using branded vegetable characters has on fruit and vegetable uptake in elementary school cafeterias, with a secondary aim of determining the difference student sex plays. The randomized control study utilized students from 10 elementary schools in an urban school district in the northeast United States. The study collected 22,206 student-day observations for the experiment. The schools are located in a district with median household income under $52,000 and 82% of the students receiving free/reduced lunch. The 6-week study was conducted between April 8 and May 24, 2013. Schools were randomly assigned into a control condition (n¼2) or one of three treatment conditions: vinyl banners (n¼2), television segments (n¼3), or vinyl banners and television segments (n¼3). Vinyl banners with vegetable characters across the front and television segments featuring vegetable characters delivering nutritional messages were displayed on flat screens. Banners were attached to the cafeteria salad bar and the screens were affixed to tables nearby. Students in the schools were blinded to the study. The researchers proposed three hypotheses: children in schools with vinyl banners will select more vegetables; children in schools with television segments will select more vegetables; or children in schools using both simultaneously will select more vegetables, although the effect will not be additive. Food records were collected from the schools, reporting the volume taken for each food item as well as the number of children receiving lunch. Trained observers
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FROM THE ACADEMY randomly visited the schools to count the number of boys and girls using the salad bar with hand clickers. Three outcome measures were derived: number of students taking vegetables, percentage of students taking vegetables calculated by dividing count values by the total number of children, and separate counts of girls and boys taking vegetables. For analysis, a random effects regression model with random effects was used at the school level. The independent variables indicate the intervention group to which a school was assigned, whether the observation is measured during intervention or baseline, and the interaction between these two variables. Results for food preparation were reported first, followed by count data. Reported values in the figures and calculated percent changes were derived from estimated means resulting from the fitted regression model. Reported P values correspond to interaction effects from the regression.
WELLNESS/PREVENTION Body-mass index and all-cause mortality: Individual-participant-data meta-analysis of 239 prospective studies in four continents. The Global BMI Mortality Collaboration. Lancet. 2016; http://dx.doi.org/10.1016/S0140-6736(16) 30175-1. The researchers investigate the relationship between body mass index and cause of death across five continents for the purpose of assessing the phenomenon in different populations. An individualparticipant-data meta-analysis was employed. The meta-analysis utilized 239 prospective studies from Asia, Australia, New Zealand, Europe, and North America including 10,625,411 participants. Of the participants, 455 people in 189 studies were never-smokers without specific chronic diseases at time of recruitment, who had all survived at least 5 years postrecruitment. The search was performed via MEDLINE, Embase, and Scopus, seeking studies from January 1970 to January 2015, using terms body-mass index, mortality, death, cohort, prospective, and the combination of words risk, relative, ratio, hazard, or rate. Prospective cohort studies or consortia were eligible if they contained information about weight, height, age, and sex; recorded overall cause-specific deaths; and had accrued 5 years or more of median follow-up. Studies were excluded if they selected participants on the basis of having previous chronic disease. The primary analyses are of deaths, study, age, and sex-adjusted hazard ratios relative to body mass index. Association of all-cause mortality with body mass index depends on both the associations of specific cause with body
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FROM THE ACADEMY mass index in different regions. Each study analyzed individual-participant data according to common analytical plan with SAS version 9.3 (2012, SAS Institute) and Stata version 12 (2011, StataCorp). These separate results were then meta-analyzed.
PERIODICALS BUSINESS & INDUSTRY Food waste: The role of date labels, package size, and product category. Wilson N, Rickard B, Saputo R, Ho S-T. Food Qual Prefer. 2016; http://dx.doi.org/10.1016/j. foodqual.2016.08.004. Popular nutrition-related mobile apps: A feature assessment. Franco R, Fallaize R, Lovegrove J, Hwang F. JMIR Mhealth Uhealth. 2016;4(3):e85. Using personal mobile phones to assess dietary intake in free-living adolescents: Comparison of face-To-face versus telephone training. Segovia-Siapco G, Sabate. J Med Internet Res. 2016;4(3):e91.
BEHAVIORAL HEALTH Intervention leads to improvements in the nutrient profile of snacks served in afterschool programs: A group randomized controlled trial. Beets M, Turner-McGievy B, Weaver G, et al. Behav Med Pract Policy Res. 2016;6(3):329-338. Theory-based interventions for longterm adherence to improvements in diet quality: An in-depth review. Vilaro M, Staub D, Xu C, Mathews A. Am J Lifestyle Med. 2016; http://dx.doi.org/10. 1177/1559827616661690. Feasibility, effectiveness and costeffectiveness of a telephone-based weight loss program delivered via a hospital outpatient setting. Whelan M, Goode A, Eakin E, Veerman J., et al. Behav Med Pract Policy Res. 2016;6(3):386-395. Structured dietary intervention to facilitate weight loss after bariatric surgery: A randomized, controlled pilot study. Kalarchian M, Marcus M, Courcoulas A, et al. Obesity. 2016; http://dx.doi.org/10.1002/oby. 21591. November 2016 Volume 116 Number 11
The short-term impact of dietary counseling on sodium intake and blood pressure in renal allograft recipients. Asai K, Kobayashi T, Miyata H, et al. Prog Transpl. 2016; http://dx.doi.org/10.1177/1526 924816664084. Effect of personalized nutrition on health-related behavior change: Evidence from the Food4me European randomized controlled trial. Celis-Morales C, Livingtone K, Marsaux C, et al. Int J Epidemiol. 2016; http://dx.doi.org/10. 1093/ije/dyw186. Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): A case-control study. O’Donnell M, Chin S, Rangarajan S, et al. Lancet. 2016;388(10046):761-775. Patients factors associated with initiation of behavioral weight loss treatment: A prospective observational study in an integrated care setting. McVay M, Yancy W, Scott C, et al. Transl Behav Med. 2016; http://dx.doi.org/10.1007/s13142016-0430-8. Menu labelling is effective in reducing energy ordered and consumed: A systematic review and meta-analysis of recent studies. Littlewood J, Lourenco S, Iversen C, Hansen G. Public Health Nutr. 2016;19(12):2106-2121. Nutritional education for management of osteodystrophy: Impact on serum phosphorus, quality of life, and malnutrition. Karavetian M, Elzein H, Rizk R, et al. Hemodial Int. 2016; http://dx.doi.org/10.1111/hdi.12405. Effect of an Internet-based, personalized nutrition randomized trial on dietary changes associated with the Mediterranean diet: The Food4Me Study. Livingstone K, Celis-Morales C, NavasCarretero S, et al. Am J Clin Nutr. 2016; http://dx.doi.org/10.3945/ajcn.115.129049.
CLINICAL NUTRITION NutritionDay ICU: A 7-year worldwide prevalence study of nutrition practice in intensive care. Bendavid I, Singer P, Theilla M, et al. Clin Nutr. 2016; http://dx.doi.org/10.1016/j.clnu.2016.07. 012.
Nutritional status of older patients with oropharyngeal dysphagia in a chronic versus an acute clinical situation. Carrion S, Roca M, Costa A, et al. Clin Nutr. 2016; http://dx.doi.org/10.1016/j.clnu.2016.07. 009. Association of the adductor pollicis muscle thickness with clinical outcomes in Intensive Care Unit patients. Ghorabi S, Ardehali H, Amiri Z, Shariatpanahi Z. Nutr Clin Pract. 2016; http://dx.doi.org/10. 1177/0884533615621547. A randomized, crossover, head-tohead comparison of eicosapentaenoic acid and docosahexaenoic acid supplementation to reduce inflammation markers in men and women: The Comparing EPA to DHA (ComparED) Study. Allaire J, Couture P, Leclerc M, et al. Am J Clin Nutr. 2016; http://dx.doi.org/10.3945/ajcn. 116.131896. Multidisciplinary interventions in the management of atopic dermatitis. LeBovidge J, Elverson W, Timmons K, et al. J Allergy Clin Immunol. 2016;138(2):325-334. Almond supplementation reduces serum uric acid in coronary artery disease patients: A randomized controlled trial. Jamshed H, Gilani A, Sultan F, et al. Nutr J. 2016; http://dx.doi.org/10.1186/s12937-0160195-4. Gastric versus small bowel feeding in critically ill adults. Schlein K. Nutr Clin Pract. 2016; http://dx.doi. org/10.1177/0884533616629633. Determining the accuracy of predictive energy expenditure (PREE) equations in severely obese adolescents. Steinberg A, Manlhiot C, Cordeiro K, et al. Clin Nutr. 2016; http://dx.doi.org/10.1016/j.clnu.2016. 08.006. The two most popular malnutrition screening tools in the light of the new ESPEN consensus definition of the diagnostic criteria for malnutrition. Poulia K-A, Klek S, Doundoulakis I, et al. Clin Nutr. 2016; http://dx.doi.org/10.1016/j.clnu. 2016.07.014.
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FROM THE ACADEMY Mode of oral iron administration and the amount of iron habitually consumed do not affect iron absorption, systematic iron utilization or zinc absorption in iron-sufficient infants: A randomized trial. Szymlek-Gay E, Domellof M, Hernell O, et al. Br J Nutr. 2016; http://dx.doi.org/10.1017/ S0007114516003032. Dietary choline and betaine; associations with subclinical markers of cardiovascular disease risk and incidence of CVD, coronary heart disease and stroke: The Jackson Heart Study. Millard H, Musani S, Diababa D, et al. Eur J Nutr. 2016; http://dx.doi.org/10.1007/s00394016-1296-8. Effect of soy protein isolate preload on postprandial glycemic control in healthy control in healthy humans. Kashima H, Uemoto S, Eguchi K, et al. Nutr. 2016; http://dx.doi.org/10.1016/j.nut.2016.02. 014. The dilemma of protein delivery in the intensive care unit. Veldsman L, Richards G, Blaauw R. Nutr. 2016; http://dx.doi.org/10.1016/j.nut.2016.02.010. Inflammation-driven malnutrition: A new screening tool predicts outcome in Crohn’s disease. Jansen I, Prager M, Valentini L, Buning C. Br J Nutr. 2016; http://dx.doi.org/10.1017/ S0007114516003044.
CULINARY The impact of education and cooking methods on serum phosphate levels in patients on hemodialysis: 1-year study. Vrdolijak I, Krbavcic I, Bituh M, et al. Hemodial Int. 2016; http://dx.doi.org/10.1111/hdi.12468. Vinegar as a functional ingredient to improve postprandial glycemic control e Human intervention findings and molecular mechanisms. Lim J, Henry C, Haldar S. Mol Nutr Food Res. 2016; http://dx.doi.org/10.1002/mnfr.2016 00121.
Clinical manifestations of kidney disease among U.S. adults with diabetes, 1988-2014. Afkarian M, Zelnick L, Hall Y, et al. JAMA. 2016; 316(6):602-610.
Bioactive compounds in banana and their associated health benefits. Singh B, Singh J, Kaur A, Singh N. Food Chem. 2016; http://dx.doi.org/10.1016/j.foodchem. 2016.03.033.
Diabetes mellitus and risk of falls in older adults: A systematic review and meta-analysis. Yang Y, Hu X, Zhang Q, Zou R. Age Ageing. 2016; http://dx.doi.org/10.1093/ageing/afw140.
Mediterranean diet and life expectancy; beyond olive oil, fruits, and vegetables. Martinez-Gonzalez M, Martin-Calvo N. Curr Opin Clin Nutr Metab Care. 2016; http://dx.doi. org/10.1097/MCO.0000000000000316.
Physical activity counseling by diabetes educators delivering diabetes selfmanagement education and support. Powell R, Siminerio L, Kriska A, Rickman A, Jakicic J. Diabetes Educ. 2016; http://dx.doi. org/10.1177/0145721716659148.
Sex differences in the effects of repeated taste exposure to the Mediterranean Diet: A 6-month follow-up study. Bedard A, Corneau L, Dodin S, Lemieux S. Can J Diet Pract Res. 2016;77(3):125-132.
DIABETES CARE
Effect of Omega-3 Acid ethyl esters on left ventricular remodeling after acute myocardial infarction. Heydari B, Abdullah S, Pottala J, et al. Circulation. 2016; http://dx.doi.org/10.1161/ CIRCULATIONAHA.115.019949.
Enhancing access to diabetes selfmanagement education in primary care. Chomko M, Odegard P, Evert A. Diabetes Educ. 2016; http://dx.doi.org/10.1177/014572171665 9147.
COMMUNITY NUTRITION
The impact of a home-based diabetes prevention and management program on high-risk American Indian youth. Kenney A, Chambers R, Rosenstock S, et al. Diabetes Educ. 2016; http://dx.doi.org/10.1177/ 0145721716658357.
The hospital community benefit program: Implications for food and nutrition professionals. Fleishhacker S, Ramachandran G. Nutr Today. 2016;51(4):191-193. Health and nutrition literacy and adherence to treatment in children, adolescents, and young adult with chronic kidney disease and hypertension, North Carolina, 2015. Patel N, Ferris M, Rak E. Prev Chronic Dis. 2016; http://dx.doi.org/10.5888/pcd13.160044. November 2016 Volume 116 Number 11
Impact of lifestyle interventions on depressive symptoms in individuals at-risk of, or with, type 2 diabetes mellitus: A systematic review and metaanalysis of randomized controlled trials. Cezaretto A, Ferreira S, Sharma S, Sadeghirad B, Kolahdooz F. Nutr Metab Cardiovasc Dis. 2016;26(8):649-662.
The effect of dietary counselling on food intakes in pregnant women at risk for gestational diabetes: A secondary analysis of a randomized controlled trial RADIEL. Valkama A, Koivusalo S, Lindstrom J, et al. Eur J Clin Nutr. 2016; http://dx.doi.org/10.1038/ ejcn.2015.205.
Does nutritional counseling in telemedicine improve treatment outcomes for diabetes? A systematic review and meta-analysis of results from 92 studies. Su D, McBride C, Zhou J, Kelley M. J Telemed Telecare. 2016; http://dx.doi.org/10.1177/ 1357633X15608297. Telemedicine compared with standard care in type 2 diabetes mellitus: A randomized trial in an outpatient clinic. Rasmussen O, Lauszus F, Loekke M. J Telemed Telecare. 2016; http://dx.doi.org/10.1177/ 1357633X15608984. Medical care costs associated with long-term weight maintenance versus weight gain among patients with type 2 diabetes. Nichols G, Bell K, Kimes T, O’Keeffe-Rosetti M. Diabetes Care. 2016; http://dx.doi.org/10.2337/ dc16-0933. Consumption of meals prepared at home and risk of type 2 diabetes: An analysis of two prospective cohort studies. Zong G, Eisenberg D, Hu F, Sun Q. PLOS Medicine. 2016; http://dx.doi.org/10.1371/ journal.pmed.1002052.
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FROM THE ACADEMY Does reducing basal insulin during Ramadan fasting by children and adolescents with Type 1 Diabetes decrease the risk of symptomatic hypoglycemia. Deeb A, Qahtani A, Attia S, et al. Diabetes Technol Ther. 2016; http://dx.doi.org/10.1089/ dia.2016.0197. Changes in HbA1c and weight following transition to continuous subcutaneous insulin infusion therapy in adults with type 1 diabetes. Mehta S, Andersen H, Abrahamson M, et al. J Diabetes Sci Technol. 2016; http://dx.doi.org/ 10.1177/1932296816658900. Insulin injection into lipohypertrophic tissue: Blunted and more variable insulin absorption and action and impaired postprandial glucose control. Famulla S, Hovelmann U, Fischer A, et al. Diabetes Care. 2016;39(9):1486-1492. Optimized mealtime insulin dosing for fat and protein in type 1 diabetes: Application of a model-based approach to derive insulin doses for open-loop diabetes management. Bell K, Toschi E, Steil G, Wolpert H. Diabetes Care. 2016;39(9):1631-1634.
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Gastric bypass reduces symptoms and hormonal responses in hypoglycemia. Abrahamsson N, Borjesson J, Sundborn M, et al. Diabetes. 2016;65(9):2667-2675.
EDUCATION Assessment of registered dietitians’ beliefs and practices for a nutrition counseling approach. Taylor L, Moriartey S, Stadnyk J, BasualdoHammond C. Can J Diet Pract Res. 2016;77(3):140-147.
GERONTOLOGY Malnutrition in very old hospitalized patients: A new etiologic factor of anemia? Frangos E, Trombetti A, Graf E, et al. J Nutr Health Aging. 2016;20(7):705-713. Sarcopenic obesity: An appraisal of the current status of knowledge and management in elderly people. Molino S, Dossena M, Buonocore D, et al. J Nutr Health Aging. 2016;20(7):780-788.
JOURNAL OF THE ACADEMY OF NUTRITION AND DIETETICS
Vitamin B-12 status and neurologic function in older people: A crosssectional analysis of baseline trial data from the Older People and Enhanced Neurological Function (OPEN) Study. Miles L, Allen E, Mills K, et al. Am J Clin Nutr. 2016; http://dx.doi.org/10.3945/ajcn.116.137927. Teaching professional practice: Using interactive learning assessments to simulate the nutrition care process. McKay T, Yakes E, Svihla V, et al. Top Clin Nutr. 2016;31(3):257-266.
LONG-TERM CARE Association between tooth loss, with or without dental prostheses, and malnutrition risk in older adults: A systematic review. Zelig R, Touger-Decker R, Chung M, et al. Top Clin Nutr. 2016;31(3):232-247.
MANAGEMENT/ADMINISTRATION Improving healthy eating and the bottom line: Impact a price incentive program in two hospital cafeterias. Patsch Amy, Smith J, Liebert M, Behrens T, Charles T. Am J Health Promot. 2016; http://dx. doi.org/10.1177/0890117116658237.
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FROM THE ACADEMY NUTRITION SUPPORT Transition to a tube-feeding formula with real food ingredients in pediatric patients with intestinal failure. Samela K, Mokha J, Emerick K, Davidovics Z. Nutr Clin Pract. 2016; http://dx.doi.org/ 10.1177/0884533616661011. The successful accomplishment of nutritional and clinical outcomes via the implementation of a multidisciplinary nutrition support team in the neonatal intensive care unit. Jeong E, Jung Y, Shin S, et al. BMC Pediatrics. 2016; http://dx.doi.org/10.1186/s12887-0160648-0. Home parenteral nutrition: Fat emulsions and potential complications. Mundi M, Salonen B, Bonnes S. Nutr Clin Pract. 2016; http://dx.doi.org/10.1177/088453361666 3635. Factors associated with gastronomy tube removal in patients with dysphagia after stroke: A review of the literature. Wilmskoetter J, Herbert T, Bonilha H. Nutr Clin Pract. 2016; http://dx.doi.org/10.1177/ 0884533616661012. Thirty-day readmission rate is high for hospitalized patients discharged with home parenteral nutrition or intravenous fluids. Vallabh H, Konrad D, DeChicco R, et al. J Parenter Enteral Nutr. 2016; http://dx.doi.org/ 10.1177/0148607116664785. Nasogastric tube feeding for individuals with anorexia nervosa: An integrative review. Kells M, Kelly-Weeder S. J Am Psychiatr Nurses Assoc. 2016; http://dx.doi.org/10.1177/10783 90316657872. Transitioning preterm infants from parenteral nutrition: A comparison of two protocols. Miller M, Donda K, Bhutada A, et al. J Parenter Enteral Nutr. 2016; http://dx.doi.org/10.1177/ 0148607116664560. Pediatric gastrojejunostomy tube replacement: Effects of communication on the need for after-hours procedures. Sharafinski M, Sehnert E, Moe D, et al. J Pediatr Gastroenterol Nutr. 2016;63(3):e27-e30. November 2016 Volume 116 Number 11
Hypophosphatemia in enterally-fed patients in the surgical Intensive Care Unit: Common but unrelated to timing of initiation or aggressive of nutrition delivery. Fuentes E, Yeh D, Quraishi S, et al. Nutr Clin Pract. 2016; http://dx.doi.org/10.1177/ 0884533616662988. Validation of test weighing protocol to estimate enteral feeding volumes in preterm infants. Rankin M, Jimenez E, Caraco M, et al. J Pediatr. 2016; http://dx.doi.org/10.1016/j.jpeds.2016. 08.011. Effects of multistrain probiotic supplementation on glycemic and inflammatory indices in patients with non-alcoholic fatty liver disease: A double-blind randomized clinical trial. Sepideh A, Karim P, Hossein A, et al. J Am Coll Nutr. 2016; http://dx.doi.org/10.1080/ 07315724.2015.1031355. Comparison between handgrip dynamometry and manual muscle testing performed by Registered Dietitians in measuring muscle strength. Dowhan L, DeChicco R, Welsh R, et al. J Parenter Enteral Nutr. 2016; http://dx.doi.org/ 10.1177/0148607115580647. Vitamin D and atopic dermatitis: A systematic review and meta-analysis. Kim G, Bae J-H. Nutr. 2016; http://dx.doi.org/ 10.1016/j.nut.2016.01.023.
ONCOLOGY
PEDIATRICS Maternal hemoglobin concentration during gestation and risk of anemia in infancy: Secondary analysis of a randomized control trial. Zhang Y, Jin L, Liu J, Ye R, Ren A. J Pediatr. 2016; http://dx.doi.org/10.1016/j.jpeds.2016. 05.011. New Health Canada nutrition recommendations for infants birth to 24 months address the importance of early nutrition. Perreault M, Mikail S, Atkinson S. Nutr Today. 2016;51(4):186-190. Age at introduction of solid foods and feeding difficulties in childhood: Findings from the Southampton Women’s Survey. Hollis J, Crozier S, Inskip H, et al. Br J Nutr. 2016;116(4):743-750. Impact of optimized breastfeeding on the costs of necrotizing enterocolitis in extremely low birthweight infants. Colaizy T, Bartick M, Jegier B, et al. J Pediatr. 2016; http://dx.doi.org/10.1016/j.jpeds.2016. 03.040. Effect of vitamin E with therapeutic iron supplementation on iron repletion and gut microbiome in U.S. iron deficient infants and toddlers. Tang M, Frank D, Sherlock L, et al. J Pediatr Gastroenterol Nutr. 2016;63(3):379-385. Hypertransaminasemia in newly diagnosed pediatric patients with celiac disease. Grace L, Boyle B, Ediger T, et al. J Pediatr Gastroenterol Nutr. 2016;63(3):340-343.
Detailed dietary assessment in patients with inoperable tumors: Potential deficits for Nutrition Care Plans. Vidra N, Kontogianni M, Schina E, Gioulbasanis I. Nutr Cancer. 2016; http://dx.doi.org/10.1080/ 01635581.2016.1213867.
Introduction of complementary feeding before 4 months of age increases the risk of childhood overweight or obesity: A meta-analysis of prospective cohort studies. Wang J, Wu Y, Xiong G, et al. Nutr Res. 2016;36(8):759-770.
The Western dietary pattern is associated with increased serum concentrations of free estradiol in postmenopausal women: Implications for breast cancer prevention. Sanchez-Zamorano L, Flores-Luna L, AngelesLlerenas A, et al. Nutr Res. 2016;36(8): 845-854.
Nonalcoholic fatty liver is not associated with the relationship between insulin secretion and insulin sensitivity in obese children: Matched casecontrol study. Bedogni G, Mari A, De Col A, et al. Childhood Obes. 2016; http://dx.doi.org/10.1089/chi. 2016.0141.
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FROM THE ACADEMY PUBLIC HEALTH U.S. States’ childhood obesity surveillance practices and recommendations for improving them, 2014-2015. Blondin K, Giles C, Cradock A, Gortmaker S, Long M. Prev Chronic Dis. 2016; http://dx.doi. org/10.5888/pcd13.160060. State-level trends and correlates for cross-sector collaboration on school nutrition and physical education activities, 2000-2012. Pelletier J, Laska M, MacLehose R, et al. Prev Chronic Dis. 2016; http://dx.doi.org/10.5888/ pcd13.160032. Blood lead levels in young children: U.S. 2009-2015. McClure L, Niles J, Kaufman H. J Pediatr. 2016; http://dx.doi.org/10.1016/j.jpeds.2016.05.005. Addressing household food insecurity in Canada e Position statement and recommendations e Dietitians of Canada. Can J Diet Pract Res. 2016;77(3):159. Diagnosed and undiagnosed diabetes prevalence by country in the U.S., 1999-2012. Dwyer-Lindren L, Mackenbach J, van Lenthe F, et al. Diabetes Care. 2016;39(9):1556-1562. Update of the centers for Medicare and Medicaid obesity benefit: 2012-2013. Batsis J, Bynum J. Obes. 2016; http://dx.doi. org/10.1002/oby.21578. Trends in prevalence of chronic kidney disease in the United States. Murphy D, McCulloch C, Lin F, et al. Ann Intern Med. 2016; http://dx.doi.org/10.7326/M160273.
Diabetes diagnosis and nutrition facts label use among U.S. adults, 20052010. An R. Public Health Nutr. 2016;19(12):21492156. Vegetarianism and cardiometabolic disease risk factors: Differences between South Asian and U.S. adults. Jaacks L, Kapoor D, Singh K, et al. Nutr. 2016; http://dx.doi.org/10.1016/j.nut.2016.02.011.
RENAL NUTRITION Intravenous vitamin B6 increases resistance to erythropoiesisstimulating agents in hemodialysis patients: A randomized controlled trial. Yoshitsugu O, Mikami S Hamano T, et al. J Ren Nutr. 2016; http://dx.doi.org/10.1053/j.jrn. 2016.06.004. The effect of zinc deficiency on salt taste acuity, preference, and dietary sodium intake in hemodialysis patients. Kim S, Kim M, Lee E, et al. Hemodial Int. 2016; http://dx.doi.org/10.1111/hdi.12388.
RESEARCH Research interest and research involvement among U.S. registered dietitian nutritionists. Boyd M, Byham-Gray L, Touger-Decker R, et al. Top Clin Nutr. 2016;31(3):267-277. High intake of fatty fish, but not of lean fish, affects serum concentrations of TAG and HDL-cholesterol in healthy, normal-weight adults: A randomized trial. Hagen I, Helland A, Bratlie M, et al. Br J Nutr. 2016;116(4):648-657.
Evaluation of the Farmers’ Markets for Kids programme. Dannefer R, Bryan E, Osborne A, Sacks R. Public Health Nutr. 2016; http://dx.doi.org/10.1017/ S1368980016001725.
Effect of vitamin D3 supplementation on blood pressure in adults: An updated meta-analysis. Golzarand M, Shab-Bidar S, Koochakpoor G, Speakman R, Djafarian K. Nutr Metab Cardiovasc Dis. 2016;26(8):663-673.
Cardiometabolic risk and factor changes observed in diabetes prevention programs in U.S. settings: A systematic review and meta-analysis. Mudaliar U, Zabetian A, Goodman M, et al. PLOS Medicine. 2016; http://dx.doi.org/ 10.1371/journal.pmed.1002095.
Probiotics and prebiotic fiber for constipation associated with Parkinson disease: An RCT. Barichella M, Pacchetti C, Bolliri C, et al. Neurology. 2016; http://dx.doi.org/10.1212/ WNL.0000000000003127.
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Association of animal and plant protein intake with all-cause and causespecific mortality. Song M, Fung T, Hu F, et al. JAMA Intern Med. 2016; http://dx.doi.org/10.1001/jamainternmed. 2016.4182. Effects of saturated fat, polyunsaturated fat, monounsaturated fat, and carbohydrate on glucose-insulin homeostasis: A systematic review and meta-analysis of randomized controlled feeding trials. Imamura F, Micha R, Wu J, et al. PLOS Medicine. 2016; http://dx.doi.org/10.1371/journal. pmed.1002087. Frequent consumption of sugar e and artificially sweetened beverages and natural and bottled fruit juices is associated with an increased risk of metabolic syndrome in a Mediterranean population at high cardiovascular disease risk. Ferreira-Pego C, Babio N, Bes-Rastrollo M, et al. J Nutr. 2016; http://dx.doi.org/10.3945/jn.116. 230367. Bioavailability of tomato polyphenols is enhanced by processing and fat addition: Evidence from a randomized feeding trial. Martinez-Huelamo M, Vallverdu-Queralt A, Lecce G, et al. Mol Nutr Food Res. 2016; http:// dx.doi.org/10.1002/mnfr.201500820. No evidence for metabolic adaptation in thermic effect of food by dietary protein. Sutton E, Bray G, Burton J, et al. Obesity. 2016; http://dx.doi.org/10.1002/oby.21541. Cheese consumption and risk of cardiovascular disease: A meta-analysis of prospective studies. Chen G-C, Wang Y, Tong X, et al. Eur J Nutr. 2016; http://dx.doi.org/10.1007/s00394-016-1292-z. First-stage development and validation of a Web-Based Automated Dietary Modeling Tool: Using constraint optimization techniques to streamline food group and macronutrient focused dietary prescriptions for clinical trials. Probst Y, Morrison E, Sullivan, Dam H. J Med Internet Res. 2016;18(7):e190. Concordance of dietary sodium intake and concomitant phosphate load: Implications for sodium interventions. Humalda J, Keyzer C, Binnenmars S, et al. Nutr Metab Cardiovasc Dis. 2016;26(8):689-696.
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FROM THE ACADEMY Soy isoflavone intake is associated with risk of Kawasaki disease. Portman M, Navarro S, Bruce M, Lampe J. Nutr Res. 2016;36(8):827-834.
SCHOOL NUTRITION Get into formation for culinary boot camp. Casselbury K. School Nutr. 2016;70(7):64. A look at the (CN) Label. Fitzgerald P. School Nutr. 2016;70(7):81.
SPORTS NUTRITION Potential harmful effects of dietary supplements in sports medicine. Deldicque L, Francaux M. Curr Opin Clin Nutr Metab Care. 2016; http://dx.doi.org/10.1097/ MCO.0000000000000321. Protein intake for athletes and active adults: Current concepts and controversies. Egan B. Nutrition Bulletin. 2016; http://dx.doi. org/10.1111/nbu.12215.
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WEIGHT MANAGEMENT Greater healthful dietary variety is associated with greater 2-year changes in weight and adiposity in the Preventing Overweight Using Novel Dietary Strategies (POUNDS Lost) Trial. Vadiveloo M, Sacks F, Champagne C, et al. J Nutr. 2016; http://dx.doi.org/10.3945/jn.115. 224683. Impact of newer self-monitoring technology and brief phone-based intervention on weight loss: A randomized pilot study. Ross K, Wing R. Obes. 2016; http://dx.doi.org/ 10.1002/oby.21536. Association of the magnitude of weight loss and changes in physical fitness with long-term cardiovascular disease outcomes in overweight or obese people with type 2 diabetes: A post-hoc analysis of the Look AHEAD randomized clinical trial. Look Ahead Research Group. Lancet Diabetes Endocrinol. 2016; http://dx.doi.org/10.1016/ S2213-8587(16)30162-0.
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Normal-weight obesity syndrome: Diagnosis, prevalence, and clinical implications. Franco L, Morais C, Cominetti C. Nutr Rev. 2016;74(9):558-570. Models of energy homeostasis in response to maintenance of reduced body weight. Rosenbaum M, Leibel R. Obesity. 2016; http:// dx.doi.org/10.1002/oby.21559.
WELLNESS/PREVENTION Improvements in health behaviors, eating self-efficacy, and goal-setting skills following participation in wellness coaching. Clark M, Bradley K, Jenkins S, et al. Am J Health Promot. 2016; http://dx.doi.org/10.4278/ ajhp.140627-QUAL-304. Trends in biometric health indices within an employer-sponsored wellness program with outcome-based incentives. Fu P, Bradley K, Viswanathan S, Chan J, Stampfer M. Am J Health Promot. 2016; http:// dx.doi.org/10.1177/0890117116658241.
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FROM THE ACADEMY The effect of breakfast on appetite regulation, energy balance and exercise performance. Clayton D, James L. Proc Nutr Soc. 2016;75(3):319-327.
Promoting healthy eating and physical activity behaviors: A systematic review of multiple health behavior change interventions among cancer survivors. Amireault S, Fong A, Sabiston C. Am J Lifestyle Med. 2016; http://dx.doi.org/10.1177/155 9827616661490.
Fruit and vegetable intake and physical activity as predictors of disability risk factors in African-American middleaged individuals. Reibeiro S, Morley JE. J Nutr Health Aging. 2016; http://dx.doi.org/10.1007/s12603-016-0780-4.
The effect of tobacco cessation on weight gain, obesity, and diabetes risk. Bush T, Lovejoy J, Deprey M, Carpenter K. Obesity. 2016; http://dx.doi.org/10.1002/oby. 21582.
A review of the relative efficacy of dietary, nutritional supplements, lifestyle and drug therapies in the management of hypertension. Caligiuri S, Pierce G. Crit Rev Food Sci Nutr. 2016; http://dx.doi.org/10.1080/10408398.2 016.1142420.
Effects on cardiovascular risk factors of weight losses limited to 5-10%. Brown J, Buscemi J, Milsom V, Malcolm R, O’Neil P. Behav Med Pract Policy Res. 2016;6(3):339-346.
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WOMEN’S HEALTH Maternal obesity during pregnancy is negatively associated with maternal and neonatal iron status. Jones A, Zhao G, Jiang Y, et al. Eur J Clin Nutr. 2016; http://dx.doi.org/10.1038/ejcn.2015.229. Racial and ethnic differences in breastfeeding. McKinney C, Hahn-Holbrook J, Chase-Lansdale L, et al. Pediatrics. 2016; http://dx.doi.org/ 10.1542/peds.2015-2388. Regular moderate exercise throughout pregnancy not associated with increased risk of preterm delivery. Di Mascio D, Magro-Malosso ER, Saccone G, et al. J Clin Outcomes Manag. 2016;23(8): 346-350.
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FROM THE ACADEMY Vitamin D metabolism varies among women in different reproductive states consuming the same intakes of Vitamin D and related nutrients. Park H, Brannon P, West A, et al. J Nutr. 2016; http://dx.doi.org/10.3945/jn.116.229971. The Female Athlete Triad. Kelly A, Hecht S. Pediatrics. 2016; http://dx.doi. org/10.1542/peds.2016-0922. Soy isoflavones and glucose metabolism in menopausal women: A systematic review and meta-analysis of randomized controlled trials. Fang K, Dong H, Wang D, et al. Mol Nutr Food Res. 2016; http://dx.doi.org/10.1002/mnfr.2015 01024.
SITES IN REVIEW These web resources complement the original research: brief “Evaluation of a modified Italian European Prospective Investigation into Cancer and Nutrition food frequency questionnaire for individuals with celiac disease” (pp 1810-1816) published in the November issue of the Journal.
Sites in Review Editor: Donna L. Hollinger, MS, RDN, LD
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National Institute of Diabetes and Digestive and Kidney Diseases: Celiac Disease https://www.niddk.nih.gov/health-information/ health-topics/digestive-diseases/celiac-disease/ Pages/overview.aspx The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), estimated to be the fifth largest institute at the National Institutes of Health, conducts and supports research involving major diseases impacting public health as well as disseminates research findings. Digestive diseases such as celiac disease and nutrition are one of the Institute’s primary research areas. According to research by A. Rubio-Tapia and colleagues cited on the NIDDK’s Celiac Disease website, the prevalence of celiac disease in the United States was found to be 0.71%, or one in every 141 individuals aged 6 years or older, with the majority of individuals unaware of their diagnosis. The NIDDK’s Celiac Disease website is easy to navigate and features a variety of resources available in English as well as Spanish. The website provides an overview of celiac disease addressing symptoms, diagnosis, common comorbidities, and long-term complications. The website highlights the role of nutrition in the treatment of celiac disease and promotes the role of registered dietitian nutritionists in providing nutrition counseling regarding a gluten-free diet. The Academy of Nutrition and Dietetics, along with its website link, is listed as an organization that provides support to
JOURNAL OF THE ACADEMY OF NUTRITION AND DIETETICS
individuals with celiac disease as well as serving as a resource for health professionals.
United States National Library of Medicine: Medline Plus - Celiac Disease https://medlineplus.gov/celiacdisease.html Medline Plus, produced by the National Library of Medicine, offers consumers as well as health professionals evidencebased information for over 975 diseases and health conditions. Updated daily, MedlinePlus provides site users with the most current health information available in English as well as Spanish website versions. MedlinePlus can be accessed from a desktop, tablet, or phone and has over 1 million daily visitors. Medline Plus’s Celiac Disease website features a “Basics” section that provides a celiac disease summary as well as celiac disease symptoms and diagnosis. This section also delivers a “Latest News” feature to keep site users informed of new developments and cutting edge research findings. Current celiac disease prevalence figures along with relevant legislative updates are part of the website’s “Research” section. Also included in the “Research” section is a link to celiac disease research studies posted on ClinicalTrials.gov. The “Find an Expert” website section contains a link to the Academy’s “Find an Expert” webpage enabling site users to search for a registered dietitian nutritionist by zip code or area of expertise.
November 2016 Volume 116 Number 11