The contribution of school environmental factors to individual and school variation in disordered weight control behaviors in a statewide sample of middle schools
Authors
Austin, S. BrynRichmond, Tracy K.
Spadano-Gasbarro, Jennifer L.
Greaney, Mary L.
Blood, Emily A.
Walls, Courtney E.
Wang, Monica L.
Mezgebu, Solomon
Osganian, Stavroula K.
Peterson, Karen E.
UMass Chan Affiliations
Department of Medicine, Division of Preventive and Behavioral MedicineDocument Type
Journal ArticlePublication Date
2013-02-19Keywords
AdolescentAdolescent Behavior
Behavior Control
Body Weight
Child
Child Behavior
Eating Disorders
Female
Health Behavior
Humans
Male
*Schools
Self Report
*Social Environment
Students
Behavior and Behavior Mechanisms
Community Health
Community Health and Preventive Medicine
Pediatrics
Public Health
Public Health Education and Promotion
Metadata
Show full item recordAbstract
We investigated the contribution of school environmental factors to individual and school variation in disordered weight control behaviors (DWCB). Analyses were based on self-report data gathered from 18,567 middle-school students in 2005 and publicly available data on school characteristics. We observed large differences across schools in percent of students engaging in DWCB in the past month, ranging from less than 1% of the student body to 12%. School-neighborhood poverty was associated with higher odds of DWCB in boys. Preventive strategies need to account for wide variability across schools and environmental factors that may contribute to DWCB in early adolescence.Source
Austin SB, Richmond TK, Spadano-Gasbarro J, Greaney ML, Blood EA, Walls C, Wang ML, Mezgebu S, Osganian SK, Peterson KE. The contribution of school environmental factors to individual and school variation in disordered weight control behaviors in a statewide sample of middle schools. Eat Disord. 2013;21(2):91-108. doi: 10.1080/10640266.2013.761080. Link to article on publisher's siteDOI
10.1080/10640266.2013.761080Permanent Link to this Item
http://hdl.handle.net/20.500.14038/44592PubMed ID
23421693Related Resources
Link to Article in PubMedae974a485f413a2113503eed53cd6c53
10.1080/10640266.2013.761080
Scopus Count
Collections
Related items
Showing items related by title, author, creator and subject.
-
Delay discounting and intake of ready-to-eat and away-from-home foods in overweight and obese womenAppelhans, Bradley M.; Waring, Molly E.; Schneider, Kristin L.; Pagoto, Sherry L.; DeBiasse, Michele A.; Whited, Matthew C.; Lynch, Elizabeth B. (2012-10-01)A shift from home-prepared to away-from-home and ready-to-eat foods has occurred in recent decades, which has implications for obesity and health. This study tested whether delay discounting, a facet of impulsivity reflecting sensitivity to immediate reward, is associated with the frequency of consumption and typical amount consumed of home-prepared, away-from-home, and ready-to-eat foods among overweight and obese women. Seventy-eight participants completed a binary choice task assessing discounting of delayed monetary rewards. Nutrient analysis of weighed food records characterized dietary intake over seven consecutive days. Foods were categorized as home-prepared, away-from-home, or ready-to-eat by a registered dietitian from information provided by participants. Delay discounting was not associated with the frequency of consuming home-prepared, away-from-home, and ready-to-eat foods as reflected in the percentages of recorded foods or total energy intake from each category. However, once consuming away-from-home and ready-to-eat foods (but not home-prepared foods), impulsive women consumed more energy than less impulsive women. Exploratory analyses indicated that more impulsive women chose away-from-home foods with a higher energy density (kcal/g). Impulsivity was associated with the quantity of away-from-home and ready-to-eat foods consumed, but not the frequency of their consumption. Home food preparation may be critical to weight control for impulsive individuals.
-
Evaluating and selecting mobile health apps: strategies for healthcare providers and healthcare organizationsBoudreaux, Edwin D.; Waring, Molly E.; Hayes, Rashelle B.; Sadasivam, Rajani S.; Mullen, Sean; Pagoto, Sherry L. (2014-12-01)Mobile applications (apps) to improve health are proliferating, but before healthcare providers or organizations can recommend an app to the patients they serve, they need to be confident the app will be user-friendly and helpful for the target disease or behavior. This paper summarizes seven strategies for evaluating and selecting health-related apps: (1) Review the scientific literature, (2) Search app clearinghouse websites, (3) Search app stores, (4) Review app descriptions, user ratings, and reviews, (5) Conduct a social media query within professional and, if available, patient networks, (6) Pilot the apps, and (7) Elicit feedback from patients. The paper concludes with an illustrative case example. Because of the enormous range of quality among apps, strategies for evaluating them will be necessary for adoption to occur in a way that aligns with core values in healthcare, such as the Hippocratic principles of nonmaleficence and beneficence.
-
Social influences on smoking in middle-aged and older womenHolahan, Charles J.; North, Rebecca J.; Holahan, Carole K.; Hayes, Rashelle B.; Powers, Daniel A.; Ockene, Judith K. (2011-10-19)The purpose of this study was to examine the role of 2 types of social influence-general social support and living with a smoker-on smoking behavior among middle-aged and older women in the Women's Health Initiative (WHI) Observational Study. Participants were postmenopausal women who reported smoking at some time in their lives (N = 37,027), who were an average age of 63.3 years at baseline. Analyses used multiple logistic regression and controlled for age, educational level, and ethnicity. In cross-sectional analyses, social support was associated with a lower likelihood and living with a smoker was associated with a higher likelihood of being a current smoker and, among smokers, of being a heavier smoker. Moreover, in prospective analyses among baseline smokers, social support predicted a higher likelihood and living with a smoker predicted a lower likelihood of smoking cessation 1-year later. Further, in prospective analyses among former smokers who were not smoking at baseline, social support predicted a lower likelihood and living with a smoker predicted a higher likelihood of smoking relapse 1-year later. Overall, the present results indicate that social influences are important correlates of smoking status, smoking level, smoking cessation, and smoking relapse among middle-aged and older women. (PsycINFO Database Record (c) 2011 APA, all rights reserved).