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Association between behavioral-environmental risk patterns and multimorbidity of chronic non-communicable diseases
Zhiyun Hu1, Xiaodong Sun2, Chunyan Luo2
1School of Public Health, Southeast University, Nanjing, 210009, China.
Objectives:
Multimorbidity, though traditionally discussed in older populations, is increasingly prevalent among adolescents. However, evidence on how co-occurring behavioral and environmental risks contribute to adolescent multimorbidity remains limited. This study aimed to identify distinct patterns of behavioral-environmental risks among Chinese adolescents and to examine how these patterns are associated with multimorbidity of chronic non-communicable diseases.
Study Design:
This was a cross-sectional study, utilizing data from 15,082 participants enrolled in the 2022 Shanghai "Surveillance for Common Diseases and Health Risk Factors among Students" project.
Methods:
Participants were selected using a cluster random sampling method. Adolescent multimorbidity was defined as the coexistence of six chronic non-communicable diseases (high blood pressure, high myopia, dental caries, abnormal spinal curvature, obesity, and depressive symptoms). Behavioral-environmental risk dimensions covered individual lifestyle behaviors (i.e., imbalanced diet, unhealthy food, smoking or drinking, excessive screen time, insufficient sleep, and physical inactivity), school-related environmental risks (untimely seat or desk adjustment, low frequency of eye exercises or physical education classes), and family environmental factors (non-nuclear family, low parental education, disadvantaged family economy, and household secondhand smoke exposure). Latent class analysis identified distinct risk patterns, and logistic regression models explored their associations with multimorbidity.
Results:
The mean age of participants was 14.94 (SD = 1.75), and 47.6% were girls. Three behavioral-environmental patterns emerged: "high behavioral and family-environmental risks (Class 1, 40.9%)", "high behavioral and school-environmental risks (Class 2, 22.3%)", and "relatively low behavioral-environmental risks (Class 3, 36.8%)". Compared with Class 3, adolescents in Class 1 (OR = 1.21-1.27, all p < 0.001) or Class 2 (OR = 1.20-1.28, all p < 0.001) had significantly higher odds of multimorbidity across all adjusted models.
Conclusions:
School-aged adolescents exhibit distinct behavioral-environmental risk patterns, with differing associations with multimorbidity. Findings underscore the need for integrated health promotion strategies addressing individual behaviors and broader environmental influences to reduce multimorbidity among the youth.
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