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An Assessment of the Physical Activity of Registered Dietitians
TUESDAY, OCTOBER 22
Poster Session: Wellness and Public Health Mushroom Consumption Is Associated with Better Diet Quality and Better Nutrient Intakes in Adult Participants (19+ Years Of Age) of the National Health And Nutrition Examination Survey (2001-2010) Author(s): T.A. Nicklas1, C.E. O'Neil2, V.L. Fulgoni III3; 1Baylor Coll. of Med., Houston, TX, 2Louisiana State Univ. Agricultural Ctr., Baton Rouge, LA, 3 Nutrition Impact LLC, Battle Creek, MI Learning Outcome: To determine the association of mushroom consumption with diet quality and nutrient intake in adults.
The Effect of Education on Hydration Status of Female Collegiate Gymnasts at Southern Utah University Author(s): M.C. Schmidt, R.S. Moore, N.L. Bryslan; Ag/Nutrition, Southern Utah Univ., Cedar City, UT Learning Outcome: Participants will learn the hydration status of collegiate female gymnast at Southern Utah University and the impact that hydration education has on hydration status.
NHANES (2001-2010) data were used to determine associations between mushroom consumption with diet quality and nutrient intake. Intake was determined using a 24 hour dietary recall; mushroom consumers were defined as those with any intake of 32 mushroom food codes. Means and ANOVA (covariate adjusted) were determined using appropriate sample weights; significance was p<0.05. Diet quality was calculated using the Healthy Eating Index-2005 (HEI). Average mushroom consumption was 39.52.6 g/d. Compared to non-consumers (n¼24,347), consumers (n¼460) had higher total HEI scores (54.60.9 vs 51.40.2) and higher HEI component scores for: total fruit (2.60.1 vs 2.20.0), whole fruit (2.60.1 vs 2.00.0), total vegetable (4.10.1 vs 3.00.0), dark green/orange vegetables (1.80.1 vs 1.20.0), oils (6.40.2 vs 5.80.0), and SoFAAS (10.40.4 vs 9.30.1). The total grain score (4.00.1 vs 4.20.0) was lower in consumers. Energy (229749 vs 217610 kcals/d), protein (882 vs 830.3 g/d), dietary fiber (180.5 vs 160.1 g/d), total fat (851 vs 820.3 g/d), PUFA (190.6 vs 170.1), vitamin E (8.50.4 vs 7.40.1 mg/d), choline (3648.8 vs 3341.8 mg/d), magnesium (3108 vs 2931.6 mg/d), potassium (303357 vs 272111.8 mg/d), selenium (1223.1 vs 1110.5 mg/d), and sodium (371874 vs 350710 mg/d) intakes were higher in consumers. Total (1144 vs 1230.8 gm) and added sugar (16.30.9 vs 19.20.2 tsp) intakes were lower in consumers. Mushroom consumption was positively associated with better diet quality and intake of most nutrients.
Proper hydration is essential for both mental and physical performance. The purpose of this study was to determine if education would improve hydration status in collegiate female gymnasts. Urine specific gravity (USG) was used to determine hydration status. Urine samples were collected from thirteen athletes, mean age (19.3 1.3) immediately before and after practices. Three sets (2-3 USG measurements each) were collected at different times during the preseason/season. Mean USG before practice and mean USG after practice of all subjects was calculated. The beginning of the study (T1), athletes were unaware of sample collection. After T1, hydration education/strategies were provided. Athletes were instructed to implement hydration strategies and were made aware of measurements (T2). A third set (T3) of USGs were obtained at unannounced practices two months after T2 to determine if hydration improvements were maintained post-education. Ideally, athletes should begin practice at/below a USG of 1.020. A USG above 1.020 indicates significant dehydration. Mean T1 USGs were 1.021 before and 1.027 after practice. Mean T2 USGs were 1.009 before and 1.020 after practice. Mean T3 USGs were 1.016 before and 1.025 after practice. Although the end of practice T3 USG was not found to be significantly different than T1, the start of practice in T3 was significantly improved (p¼0.001) from T1. These findings suggest that the education/strategies provided to collegiate female gymnasts improved hydration status and was maintained over 2 months. Data also showed that subjects were better hydrated when they had advanced notice of USG measurements (T2).
Funding Disclosure: The Mushroom Council and USDA
Funding Disclosure: None
An Assessment of the Physical Activity of Registered Dietitians
The Relationship between Attention Deficit Hyperactivity Disorder Symptomatology and Nutrition-Related Health Behaviors among University Athletes and Non-Athletes
Author(s): M. Fineberg, V. Marin, A. Rosen, V. George; Florida Intl. Univ., Miami, FL Learning Outcome: The reader will have a greater understanding of RDs’ PA participation in reference to the CDC guidelines, including the specific activities in which they practice, and be able to identify the factors that affect the RDs’ PA behaviors. Research Objective: Little is known about the physical activity (PA) of registered dietitians (RDs). This is of interest as research indicates that health care providers can be important role models to their clients. The purpose of this study was to determine if: a) RDs meet the current CDC guidelines for PA; b) there was a relationship between demographics, practice setting, BMI and participation in PA. Methods: In June 2012, a survey was emailed to 80,037 RDs in the U.S. with a 17% response rate. The survey contained questions on demographics, PA (International Physical Activity Questionnaire), practice setting, and height and weight. Results: An independent t-test revealed that the surveyed RDs participated in vigorous PA 3.3 4 hrs. /wk. and moderate PA 2.8 3 hrs. /wk. This is above current CDC guidelines. Older RDs reported participating in vigorous PA significantly (p <0.01) less than younger RDs and younger RDs participated in walking activities 5.4 8 hrs. /wk. significantly (p < 0.001) more frequently than older RDs. Approximately 26% of the participants were overweight (18%) or obese (8%). Only 27% of overweight and obese RDs were moderately or vigorously active vs. 70% of normal weight RDs. RDs in private practices participated in vigorous PA more frequently than RDs practicing in the community. Conclusion: The majority of the RDs in this study met current CDC guidelines for moderate and vigorous PA and therefore RDs have the potential to serve as excellent role models for PA in their health care setting.
Author(s): J.A. Hanson1, L.N. Phillips1, Y. Kim1, K.Y. Corson2, S.M. Hughes1; 1Nutrition Program, Louisiana Tech Univ., Ruston, LA, 2Family and Child Studies, Louisiana Tech Univ., Ruston, LA Learning Outcome: Participants will be able to describe the relationship between Attention Deficit Hyperactivity Disorder (ADHD) symptomatology and nutrition-related health behaviors among university athletes and non-athletes. Purpose: To describe the relationship between Attention Deficit Hyperactivity Disorder (ADHS) symptomatology and nutrition-related health behaviors among university student athletes and non-athletes. Methods: A volunteer sample of university students (n ¼ 90) completed the World Health Organization Adult ADHD Self-Report Scale (ASRS) Screener, the Binge Eating Scale (BES), and a 10-item questionnaire to measure alcohol and caffeine intake. Body Mass Index (BMI) was calculated using researcher measured heights and weights. Spearman correlation coefficients were used to measure bi-variant correlations among the study variables. Subgroup analysis was conducted based on participants classification as either an athlete or non-athlete. Results: Among all participants, ASRS scores were positively correlated with BES (r ¼ 0.22, p ¼ 0.03). Among the participants who were student athletes (n ¼ 35), inattention scores were positively correlated with alcohol intake (r ¼ 0.51, p < 0.01) while the correlation between ASRS and BES scores was non-significant. Among the non-athletes (n ¼ 55), the correlation between ASRS and BES scores was significant (r ¼ 0.28, p ¼ 0.04), whereas the correlation between inattention scores and alcohol intake was non-significant. BES scores and BMI were positively correlated among all participants (r ¼ 0.26, p ¼ 0.01) and among non-athletes (r ¼ 0.32, p ¼ 0.02) while BES scores and BMI were not correlated among the athletes. Conclusion: In this study, ADHD symptomatology was positively associated with BES scores; however the nature of the relationship between ADHD and the nutrition-related health behaviors appears to vary between university athletes and non-athletes. Funding Disclosure: None
Funding Disclosure: None
A-86
JOURNAL OF THE ACADEMY OF NUTRITION AND DIETETICS
September 2013 Suppl 3—Abstracts Volume 113 Number 9
Poster Session: Wellness and Public Health Mushroom Consumption Is Associated with Better Diet Quality and Better Nutrient Intakes in Adult Participants (19+ Years Of Age) of the National Health And Nutrition Examination Survey (2001-2010) Author(s): T.A. Nicklas1, C.E. O'Neil2, V.L. Fulgoni III3; 1Baylor Coll. of Med., Houston, TX, 2Louisiana State Univ. Agricultural Ctr., Baton Rouge, LA, 3 Nutrition Impact LLC, Battle Creek, MI Learning Outcome: To determine the association of mushroom consumption with diet quality and nutrient intake in adults.
The Effect of Education on Hydration Status of Female Collegiate Gymnasts at Southern Utah University Author(s): M.C. Schmidt, R.S. Moore, N.L. Bryslan; Ag/Nutrition, Southern Utah Univ., Cedar City, UT Learning Outcome: Participants will learn the hydration status of collegiate female gymnast at Southern Utah University and the impact that hydration education has on hydration status.
NHANES (2001-2010) data were used to determine associations between mushroom consumption with diet quality and nutrient intake. Intake was determined using a 24 hour dietary recall; mushroom consumers were defined as those with any intake of 32 mushroom food codes. Means and ANOVA (covariate adjusted) were determined using appropriate sample weights; significance was p<0.05. Diet quality was calculated using the Healthy Eating Index-2005 (HEI). Average mushroom consumption was 39.52.6 g/d. Compared to non-consumers (n¼24,347), consumers (n¼460) had higher total HEI scores (54.60.9 vs 51.40.2) and higher HEI component scores for: total fruit (2.60.1 vs 2.20.0), whole fruit (2.60.1 vs 2.00.0), total vegetable (4.10.1 vs 3.00.0), dark green/orange vegetables (1.80.1 vs 1.20.0), oils (6.40.2 vs 5.80.0), and SoFAAS (10.40.4 vs 9.30.1). The total grain score (4.00.1 vs 4.20.0) was lower in consumers. Energy (229749 vs 217610 kcals/d), protein (882 vs 830.3 g/d), dietary fiber (180.5 vs 160.1 g/d), total fat (851 vs 820.3 g/d), PUFA (190.6 vs 170.1), vitamin E (8.50.4 vs 7.40.1 mg/d), choline (3648.8 vs 3341.8 mg/d), magnesium (3108 vs 2931.6 mg/d), potassium (303357 vs 272111.8 mg/d), selenium (1223.1 vs 1110.5 mg/d), and sodium (371874 vs 350710 mg/d) intakes were higher in consumers. Total (1144 vs 1230.8 gm) and added sugar (16.30.9 vs 19.20.2 tsp) intakes were lower in consumers. Mushroom consumption was positively associated with better diet quality and intake of most nutrients.
Proper hydration is essential for both mental and physical performance. The purpose of this study was to determine if education would improve hydration status in collegiate female gymnasts. Urine specific gravity (USG) was used to determine hydration status. Urine samples were collected from thirteen athletes, mean age (19.3 1.3) immediately before and after practices. Three sets (2-3 USG measurements each) were collected at different times during the preseason/season. Mean USG before practice and mean USG after practice of all subjects was calculated. The beginning of the study (T1), athletes were unaware of sample collection. After T1, hydration education/strategies were provided. Athletes were instructed to implement hydration strategies and were made aware of measurements (T2). A third set (T3) of USGs were obtained at unannounced practices two months after T2 to determine if hydration improvements were maintained post-education. Ideally, athletes should begin practice at/below a USG of 1.020. A USG above 1.020 indicates significant dehydration. Mean T1 USGs were 1.021 before and 1.027 after practice. Mean T2 USGs were 1.009 before and 1.020 after practice. Mean T3 USGs were 1.016 before and 1.025 after practice. Although the end of practice T3 USG was not found to be significantly different than T1, the start of practice in T3 was significantly improved (p¼0.001) from T1. These findings suggest that the education/strategies provided to collegiate female gymnasts improved hydration status and was maintained over 2 months. Data also showed that subjects were better hydrated when they had advanced notice of USG measurements (T2).
Funding Disclosure: The Mushroom Council and USDA
Funding Disclosure: None
An Assessment of the Physical Activity of Registered Dietitians
The Relationship between Attention Deficit Hyperactivity Disorder Symptomatology and Nutrition-Related Health Behaviors among University Athletes and Non-Athletes
Author(s): M. Fineberg, V. Marin, A. Rosen, V. George; Florida Intl. Univ., Miami, FL Learning Outcome: The reader will have a greater understanding of RDs’ PA participation in reference to the CDC guidelines, including the specific activities in which they practice, and be able to identify the factors that affect the RDs’ PA behaviors. Research Objective: Little is known about the physical activity (PA) of registered dietitians (RDs). This is of interest as research indicates that health care providers can be important role models to their clients. The purpose of this study was to determine if: a) RDs meet the current CDC guidelines for PA; b) there was a relationship between demographics, practice setting, BMI and participation in PA. Methods: In June 2012, a survey was emailed to 80,037 RDs in the U.S. with a 17% response rate. The survey contained questions on demographics, PA (International Physical Activity Questionnaire), practice setting, and height and weight. Results: An independent t-test revealed that the surveyed RDs participated in vigorous PA 3.3 4 hrs. /wk. and moderate PA 2.8 3 hrs. /wk. This is above current CDC guidelines. Older RDs reported participating in vigorous PA significantly (p <0.01) less than younger RDs and younger RDs participated in walking activities 5.4 8 hrs. /wk. significantly (p < 0.001) more frequently than older RDs. Approximately 26% of the participants were overweight (18%) or obese (8%). Only 27% of overweight and obese RDs were moderately or vigorously active vs. 70% of normal weight RDs. RDs in private practices participated in vigorous PA more frequently than RDs practicing in the community. Conclusion: The majority of the RDs in this study met current CDC guidelines for moderate and vigorous PA and therefore RDs have the potential to serve as excellent role models for PA in their health care setting.
Author(s): J.A. Hanson1, L.N. Phillips1, Y. Kim1, K.Y. Corson2, S.M. Hughes1; 1Nutrition Program, Louisiana Tech Univ., Ruston, LA, 2Family and Child Studies, Louisiana Tech Univ., Ruston, LA Learning Outcome: Participants will be able to describe the relationship between Attention Deficit Hyperactivity Disorder (ADHD) symptomatology and nutrition-related health behaviors among university athletes and non-athletes. Purpose: To describe the relationship between Attention Deficit Hyperactivity Disorder (ADHS) symptomatology and nutrition-related health behaviors among university student athletes and non-athletes. Methods: A volunteer sample of university students (n ¼ 90) completed the World Health Organization Adult ADHD Self-Report Scale (ASRS) Screener, the Binge Eating Scale (BES), and a 10-item questionnaire to measure alcohol and caffeine intake. Body Mass Index (BMI) was calculated using researcher measured heights and weights. Spearman correlation coefficients were used to measure bi-variant correlations among the study variables. Subgroup analysis was conducted based on participants classification as either an athlete or non-athlete. Results: Among all participants, ASRS scores were positively correlated with BES (r ¼ 0.22, p ¼ 0.03). Among the participants who were student athletes (n ¼ 35), inattention scores were positively correlated with alcohol intake (r ¼ 0.51, p < 0.01) while the correlation between ASRS and BES scores was non-significant. Among the non-athletes (n ¼ 55), the correlation between ASRS and BES scores was significant (r ¼ 0.28, p ¼ 0.04), whereas the correlation between inattention scores and alcohol intake was non-significant. BES scores and BMI were positively correlated among all participants (r ¼ 0.26, p ¼ 0.01) and among non-athletes (r ¼ 0.32, p ¼ 0.02) while BES scores and BMI were not correlated among the athletes. Conclusion: In this study, ADHD symptomatology was positively associated with BES scores; however the nature of the relationship between ADHD and the nutrition-related health behaviors appears to vary between university athletes and non-athletes. Funding Disclosure: None
Funding Disclosure: None
A-86
JOURNAL OF THE ACADEMY OF NUTRITION AND DIETETICS
September 2013 Suppl 3—Abstracts Volume 113 Number 9