TUESDAY, OCTOBER 24
Poster Session: Wellness and Public Health Relationship of Physical, Mental and Emotional Wellness Parameters on Bone Health Status in College Students
Food Insecurity and Physical and Mental Health of Elementary School Children in a Rural, Appalachian Mississippi Community
Author(s): K. Plawecki, B. Beezhold, D. Rayhab, N. Rieman, K. Seitz; Nutrition Department, Benedictine University
Author(s): K. Dismukes, M. Weber, S. Antolini, D. Holben; The University of Mississippi, Department of Nutrition and Hospitality Management
Learning Outcome: Participants will be able to identify factors impacting bone health to address when working with the college-aged population.
Learning Outcome: After the presentation, the participant will be able to discuss the
Objective: Traditional college age is when lifestyle habits are becoming more solidified. There is a small opportunity to maximize bone mass but various stressors associated with college may influence bone health and habits for maintaining bone mass. This study examined how physical activity, nutrition, and depression are related to bone health in university students.
Design: Cross-sectional study design was piloted in a small, private university (n¼50, 1825 years). Measures: Bone mineral density (BMD) and T-score were measured by heel ultrasound (Sahara Hologic). InBody 520 was used to measure weight, lean muscle mass in pounds (LMM) and body fat percentages. Height was taken via stadiometer. Survey used validated questionnaires that included vitamin D, calcium, and omega-3 fatty acids, the International Physical Activity Questionnaire and the Depression Anxiety Stress Scales-21.
differences in parent/guardian-perceived child health (HLTH) and parent/guardianreported behavioral (BEHAV) and psychological (PSYCH) problems by food security status in elementary school children (K-6) in rural, Appalachian Mississippi.
Background: Household food insecurity has been associated with poor physical health and behavioral and psychological problems in children.
Research Outcome: This study examined differences between household food security status (HFSS) and parent/guardian-perceived child health (HLTH) and parent/guardianreported behavioral (BEHAV) and psychological (PSYCH) problems in elementary school children (K-6) in rural, Appalachian Mississippi.
Methods: A cross-sectional survey of elementary school parents recruited at three elementary schools in an economically-distressed Appalachian MS county. Analysis: Data were analyzed using IBM SPSS (versions 23, 2015) to assess for differences
Statistical Analysis: IBM SPSS 23.0 statistical tests included: Chi-square, Pearson’s correlation coefficients, t-test, ANOVA, and regression.
in HLTH (t-test), BEHAV (Independent samples Mann-Whitney U test), and PSYCH (Independent samples Mann-Whitney U test) between children living in food secure, compared to food insecure, households. The relationship of HFSS to HLTH, BEHAV, and PSYCH (Kendall’s taub) was also assessed.
Results: T-scores varied significantly between those who sat less than 10 hrs/wk and sat
Results: Parent/guardian participants (n¼467, 41% response rate) were 348 years and
more than 10 hrs/wk (p¼.037), with lower T-scores found in those who were more sedentary. LMM was greater in males (M¼149.02+23.21) than females (M¼100.36+14.91, p¼<.001) and body fat percentages varied between genders [male: M¼22.73+10.82% vs. female: M¼30.75+9.58%, p¼.02]. Age (p¼.018) and academic year (p¼.043) were inversely related to BMD. Higher depressive symptoms were related to lower T-scores (r¼-.34, p¼.015) and to lower BMD, albeit not significantly (r¼-.28, p¼.086).
predominately Caucasian (n¼264/464, 57%), female (n¼424/460, 92%), married (n¼244/ 452, 54%), with some college or higher education (n¼257/459, 56%), and living in food secure households (n¼355/438, 81%). HLTH was greater among children living in FS households (0.800.35), compared to FI ones (0.710.22) (p¼.026). BEHAV problems were greater among FI, compared to FS, households (p¼.005). PSYCH did not differ (p¼.432).
Conclusions: Bone health in university students is negatively related to sedentary activity,
are more prevalent in FI households, compared to FS ones. Exploring nutrition interventions in schools and communities that help to alleviate household food insecurity is warranted.
body fat percentage, depression, and varies by age, class, and gender.
Funding Disclosure: None
Conclusion: Poor physical health and behavioral problems in elementary school children
Funding Disclosure: UM Foundation Food and Nutrition Security Support Fund (Donor: Monsanto)
Relationships Among Young Adults’ Personality Profile and Weight-related Behaviors Author(s): K. Eck, C. Byrd-Bredbenner; Rutgers, The State University of New Jersey Learning Outcome: Compare weight-related behaviors (dietary intake, sleep, and physical activity) of young adults using the 5 scores from the “Big 5 Personality Assessment” questionnaire (i.e., conscientiousness, neuroticism, extroversion, openness, and agreeableness). Positive personality traits from the Big 5 Personality Model (extroversion, openness, conscientiousness, and agreeableness) are linked to healthy behaviors and the negative trait, neuroticism, with unhealthy behaviors. However, links among personality profiles (combinations of personality traits) and weight-related behaviors (dietary intake, sleep, physical activity) remain understudied. Thus, this study explored these links in 448 young adults completing an online survey. Cluster analysis of scores from the valid, reliable “Big 5 Personality Assessment” identified 3 unique clusters; Cluster 1¼high conscientiousness, extroversion, openness and low neuroticism, agreeableness; Cluster 2¼high agreeableness; moderate conscientiousness, extroversion, neuroticism; and low openness; and Cluster 3¼low agreeableness, conscientiousness, extroversion; moderate openness; and high neuroticism. ANOVA and post-hoc tests showed that Cluster 1 had significantly (p<0.05) fewer sugar-sweetened soft drinks/week than other clusters and had a non-significant trend towards fewer energy drinks/week. Fruit/ vegetable intake and % calories from fat did not differ among clusters. Cluster 1 had significantly better sleep quality than other clusters, but clusters did not differ in sleep duration. Physical activity level was significantly higher in Cluster 1 than other clusters. Alcohol consumption did not differ significantly among clusters. Compared to other clusters, Cluster 1 reported better health status and had a trend toward a lower BMI. Greater expression of positive personality profiles tended to be linked with healthier weight-related behaviors. Future research should identify intervention strategies that are most effective for those with more negative vs positive personality profiles.
Sedentary Activity in College Students with Diabetes Author(s): L. Roback, A. Landry, N. Roofe; University of Central Arkansas Learning Outcome: To evaluate the rate of sedentary activity in college students with diabetes. Background: Sedentary activity has been identified as a risk factor for Diabetes Mellitus and has been a key area of behavior modification for improved overall health. College students with diabetes are in a unique situation where environmental and physiological stress could adversely affect health for years to come. The purpose of this study was to evaluate the rate of sedentary activity in college students with diabetes. Methods: An online survey was delivered to students at a southern mid-size university via email. Only students who reported being diagnosed with diabetes were allowed to complete the survey. Questions included demographics, stressors, food insecurity, and sedentary activity. SPSS was used to analyze descriptive data. Results: Thirty -seven students (21 females, median age of 20) with diabetes responded to the survey. Participants reported that the average weekday time spent in sedentary activity was 14.35 hours (14.43) and weekend day time was 12.73 hours (14.18). There were no significant differences between A1C levels and the amount of time reportedly spent in sedentary activity. Age, credit hours per semester, and classification were not related to sedentary activity. Conclusions: More time was spent in sedentary activity during the week than on weekends. On an average day, if more than 14 hours are spent in sedentary activity and 8 hours are spent sleeping, that leaves 2 hours for physical activity. Future research should investigate other risk factors associated with diabetes complications and sedentary activities in this population as well as behavior modifications that might decrease sedentary time. Funding Disclosure: None
Funding Disclosure: New Jersey Agricultural Experiment Station
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JOURNAL OF THE ACADEMY OF NUTRITION AND DIETETICS
September 2017 Suppl 1—Abstracts Volume 117 Number 9