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The link between unhealthy lifestyle behaviors and emotional and behavioral problems in children and adolescents: a latent class analysis.
Zhang, Yi; Wang, Qianling; Zhu, Zhuoyan; Zong, Qiao; Wu, Xiaoyan; Tao, Fangbiao.
Afiliación
  • Zhang Y; Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
  • Wang Q; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, Anhui, China.
  • Zhu Z; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China.
  • Zong Q; Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
  • Wu X; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, Anhui, China.
  • Tao F; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China.
Psychol Health Med ; 28(8): 2182-2197, 2023.
Article en En | MEDLINE | ID: mdl-37394763
Unhealthy lifestyle behaviors (ULBs) in children and adolescents are relatively common. Previous studies have shown an association between a single ULBs and emotional and behavioral problems (EBPs); however, few studies have explored the connection between multiple behavioral patterns and EBPs in children and adolescents. Hence, we aimed to investigate the link between ULBs clusters and EBPs among Chinese children and adolescents. From April to May 2019, we used cluster sampling to investigate children and adolescents in grades 1-12 from 14 schools located across six streets of Bao'an District in the city of Shenzhen. We measured emotional and behavioral problems using the Strengths and Difficulties Questionnaire (SDQ). ULBs included the consumption of sugar-sweetened beverages, takeaway and fast food consumption, lack of sleep, low outdoor activity, and excessive screen time. We performed clustering of ULBs using the regression hybrid modeling method of latent class analysis (LCA). We analyzed the association between ULBs and EBPs using logistic regression. In total, 30188 children and adolescents remained for analysis, with an average age of 12.44 ± 3.47 years. The LCA revealed four distinct patterns of ULBs: (1) lowest risk; (2) high-risk unhealthy lifestyle behaviors; (3) high-risk dietary unhealthy lifestyle behaviors; and (4) highest risk. Compared to ULBs with the lowest risk, high-risk ULBs, high-risk dietary ULBs, and highest risk ULBs were positively correlated with EBPs, with an adjusted odds ratio (aOR) (95% confidence interval [CI]) of 1.27, 1.34 and 2.05, respectively. Children and adolescents who reported engaging in multiple ULBs were also more likely to have poorer EBPs status. This implies that school administrations should pay more attention to the management of dietary and lifestyle behaviors to prevent EBPs in children and adolescents. Our findings highlight the need to focus on multiple clusters of ULBs among adolescents in a preventive care system and to validate EBP that may occur in children who are exposed to ULBs.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conducta del Adolescente / Problema de Conducta Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adolescent / Child / Humans Idioma: En Revista: Psychol Health Med Asunto de la revista: MEDICINA / SERVICOS DE SAUDE Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conducta del Adolescente / Problema de Conducta Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adolescent / Child / Humans Idioma: En Revista: Psychol Health Med Asunto de la revista: MEDICINA / SERVICOS DE SAUDE Año: 2023 Tipo del documento: Article País de afiliación: China