Differences in adolescent activity and dietary behaviors across home, school, and other locations warrant location-specific intervention approaches

International Journal of Behavioral Nutrition and Physical Activity

Vincent S. Staggs¹  Chelsea Steel²  Amy E. Papa²  Robin P. Shook²  Jordan A. Carlson²  Carolina M. Bejarano³  Adrian Ortega³  Christopher C. Cushing³  Debra K. Sullivan⁴  Jacqueline Kerr⁵  Kelli L. Cain⁵  James F. Sallis⁵  Terry L. Conway⁵  Brian E. Saelens⁶  Sarah C. Couch⁷  Jasper Schipperijn⁸  Karen Glanz⁹  Lawrence D. Frank^1,10 

[1] Biostatistics & Epidemiology, Health Services & Outcomes Research, Children’s Mercy Kansas City;Center for Children’s Healthy Lifestyles and Nutrition, Children’s Mercy Kansas City;Clinical Child Psychology Program and Schiefelbusch Institute for Life Span Studies, University of Kansas;Department of Dietetics and Nutrition, University of Kansas Medical Center;Department of Family Medicine and Public Health, University of California San Diego;Department of Pediatrics, University of Washington & Seattle Children’s Research Institute;Department of Rehabilitation, Exercise and Nutrition Sciences, College of Allied Health Sciences, University of Cincinnati;Department of Sports Science and Clinical Biomechanics, University of Southern Denmark;Perelman School of Medicine and School of Nursing, University of Pennsylvania;School of Community and Regional Planning, University of British Columbia;

关键词: Built environment;    Nutrition;    Obesity;    Physical activity;    Sedentary behavior;    Adolescents;   

DOI  :  10.1186/s12966-020-01027-1

来源: DOAJ

【 摘 要 】

Abstract Background Investigation of physical activity and dietary behaviors across locations can inform “setting-specific” health behavior interventions and improve understanding of contextual vulnerabilities to poor health. This study examined how physical activity, sedentary time, and dietary behaviors differed across home, school, and other locations in young adolescents. Methods Participants were adolescents aged 12–16 years from the Baltimore-Washington, DC and the Seattle areas from a larger cross-sectional study. Participants (n = 472) wore an accelerometer and Global Positioning Systems (GPS) tracker (Mean days = 5.12, SD = 1.62) to collect location-based physical activity and sedentary data. Participants (n = 789) completed 24-h dietary recalls to assess dietary behaviors and eating locations. Spatial analyses were performed to classify daily physical activity, sedentary time patterns, and dietary behaviors by location, categorized as home, school, and “other” locations. Results Adolescents were least physically active at home (2.5 min/hour of wear time) and school (2.9 min/hour of wear time) compared to “other” locations (5.9 min/hour of wear time). Participants spent a slightly greater proportion of wear time in sedentary time when at school (41 min/hour of wear time) than at home (39 min/hour of wear time), and time in bouts lasting ≥30 min (10 min/hour of wear time) and mean sedentary bout duration (5 min) were highest at school. About 61% of daily energy intake occurred at home, 25% at school, and 14% at “other” locations. Proportionately to energy intake, daily added sugar intake (5 g/100 kcal), fruits and vegetables (0.16 servings/100 kcal), high calorie beverages (0.09 beverages/100 kcal), whole grains (0.04 servings/100 kcal), grams of fiber (0.65 g/100 kcal), and calories of fat (33 kcal/100 kcal) and saturated fat (12 kcal/100 kcal) consumed were nutritionally least favorable at “other” locations. Daily sweet and savory snacks consumed was highest at school (0.14 snacks/100 kcal). Conclusions Adolescents’ health behaviors differed based on the location/environment they were in. Although dietary behaviors were generally more favorable in the home and school locations, physical activity was generally low and sedentary time was higher in these locations. Health behavior interventions that address the multiple locations in which adolescents spend time and use location-specific behavior change strategies should be explored to optimize health behaviors in each location.

【 授权许可】

Unknown