ArticlePreventive medicine reports2022
Exploring differences in adolescent BMI and obesity-related behaviors by urban, suburban, and rural status.
Article in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- High consumption of fruit and vegetable juices and related beverages and high sugar intake among school-aged children: a study in Beijing, China.Frontiers in nutrition · 2026Article
- The food environment through the eyes of adolescents: exploring socioecological factors and opportunities for healthy and sustainable food choices.BMC public health · 2025Article
- The Risk of Pediatric Overweight and Children's Objectively Measured Sedentary Behaviors and Physical Activity by Area of Residence.Healthcare (Basel, Switzerland) · 2025Article
- The influence of school location and their children's nutritional model on the risk of obesity in Poland- pilot study.Frontiers in nutrition · 2025Article
- Prevalence of obesity and impact of socio-demographic factors on obesity in 15-19 years old adolescents in Vojvodina, Serbia.Central European journal of public health · 2023Article
- Rural-Urban Differences in Overweight and Obesity, Physical Activity, and Food Security Among Children and Adolescents.Preventing chronic disease · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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