Kirkpatrick Brittany M, Yuhas Maryam, Zoellner Jamie M
University of Virginia, Department of Public Health Sciences, UVA Cancer Center Research and Outreach Office, 16 East Main Street, Christiansburg, VA 24073, USA.
Syracuse University, Department of Nutrition and Food Studies, 558 White Hall, Syracuse, NY 13244, USA.
Prev Med Rep. 2022 Aug 30;29:101960. doi: 10.1016/j.pmedr.2022.101960. eCollection 2022 Oct.
Data from the nationally representative 2014 Family Life, Activity, Sun, Health, and Eating (FLASHE) study was examined to identify differences in adolescent Body Mass Index (BMI) and obesity-related behaviors by rurality status (i.e., urban, suburban, rural) while accounting for relevant demographics (i.e., sex, race/ethnicity, household income). This secondary, cross-sectional analysis included 1,353 adolescents. Analyses included descriptive statistics, one-way analysis of variance, Chi-squared tests, and multiple linear regression models (reported significance level p < 0.05). Rurality was not associated with BMI when controlling for demographics. However, relative to rural adolescents, suburban adolescents had significantly higher junk food, sugar-sweetened beverages (SSB), sugary food (all β=+0.2, p ≤ 0.001), and fruit/vegetable intake (β=+0.1, p ≤ 0.05). Compared to Non-Hispanic White adolescents, Non-Hispanic Black adolescents had significantly higher BMI (β=+4.4, p ≤ 0.05), total sedentary time (β=+4.1, p ≤ 0.001), junk food, SSB, and sugary food intake (all β=+0.2, p ≤ 0.05). Relative to their lower-income household counterparts, adolescents from higher-income households had significantly lower BMI (β = -9.7, p ≤ 0.001), junk food (β = -0.2, p ≤ 0.05), and SSB intake (β = -0.5, p ≤ 0.001). Contrary to literature, rurality was not a significant predictor of adolescent BMI. While suburban status was significantly associated with several diet-related risk factors, it was not in the direction anticipated. Being non-Hispanic Black and from a low-income household had the greatest influence on adolescent BMI. Findings highlight the importance of using a three-category classification for rurality.
我们分析了具有全国代表性的2014年家庭生活、活动、阳光、健康与饮食(FLASHE)研究的数据,以确定农村地区状况(即城市、郊区、农村)对青少年体重指数(BMI)及肥胖相关行为的差异,同时考虑相关人口统计学因素(即性别、种族/族裔、家庭收入)。这项二次横断面分析纳入了1353名青少年。分析内容包括描述性统计、单因素方差分析、卡方检验以及多元线性回归模型(报告的显著性水平p < 0.05)。在控制人口统计学因素后,农村地区状况与BMI无关。然而,相对于农村青少年,郊区青少年的垃圾食品、含糖饮料(SSB)、含糖食物摄入量均显著更高(所有β = +0.2,p≤0.001),水果/蔬菜摄入量也更高(β = +0.1,p≤0.05)。与非西班牙裔白人青少年相比,非西班牙裔黑人青少年的BMI显著更高(β = +4.4,p≤0.05),总久坐时间更长(β = +4.