ArticleFrontiers in public health2025
Adolescent health behavior patterns and weight status: a cross-sectional analysis.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Adolescent weight status is shaped by co-occurring behaviors, but variable-centered analyses may obscure heterogeneous patterns. Person-centered approaches can clarify how these patterns relate to BMI. Objective: To identify adolescent health behavior patterns and assess their associations with BMI categories. Methods: We conducted a cross-sectional survey of 1,212 students in grades 7-8 from Lin'an District, Hangzhou, China. Six behavior indicators (diet, sugary drinks, outdoor activity, anxiety control, weight-management awareness, and management needs) informed a latent class analysis. Logistic regression, adjusting for demographic and psychosocial factors, estimated associations between class membership and BMI status. Results: Three health behavior patterns emerged: passive health maintenance (50.9%), self-disciplined health type (32.7%), and high-risk lifestyle (16.5%). Compared to the self-disciplined group, the passive group showed significantly increased risks of overweight (OR = 1.62, 95% CI: 1.02-2.57) and obesity (OR = 1.68, 95% CI: 1.13-2.50), while the high-risk group showed a trend toward increased obesity risk (OR = 1.57, 95% CI: 0.96-2.57, P = 0.072). Female students exhibited lower risks of overweight (OR = 0.56, 95% CI: 0.36-0.87) and obesity (OR = 0.41, 95% CI: 0.28-0.59) compared to males; eighth-grade students had a lower risk of obesity than seventh-grade students (OR = 0.59, 95% CI: 0.40-0.87). Additionally, good sleep quality reduced the likelihood of belonging to the high-risk group (OR = 0.30, 95% CI: 0.17-0.53), and emotional eating increased the risk of being in the passive group (OR = 1.74, 95% CI: 1.31-2.32). Conclusions: Early adolescents show distinct health behavior patterns with differential weight outcomes. The large passive group, though not overtly high-risk, carries significant overweight risk, highlighting a "moderate-risk blind spot" in weight management. Identifying behavior clusters and tailoring interventions by behavioral profile and sociodemographic context may improve adolescent obesity prevention.
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