The cross-sectional study of depressive symptoms and associated factors among adolescents by backpropagation neural network.
Public Health
; 208: 52-58, 2022 Jul.
Article
em En
| MEDLINE
| ID: mdl-35687956
ABSTRACT
OBJECTIVES:
This study aimed to investigate the association between depressive symptoms and diet- and lifestyle-related behaviors among adolescents. STUDYDESIGN:
Cross-sectional study.METHODS:
Our study used stratified random cluster sampling method to recruit 6,251 adolescents aged 11-19 years as samples for research and analysis. The Center for Epidemiological Studies Depression Scale was used to assess depressive symptoms. Chi-squared test, t test, and logistic regression were used to explore the diet and lifestyle factors of depressive symptoms. Backpropagation (BP) neural network model was used to investigate the ranking of diet and lifestyle behaviors factors of depressive symptoms.RESULTS:
The prevalence of depressive symptoms among adolescents was 32.1%. Multivariable logistic regression was used to determine 10 important variables of depressive symptoms. After ranking the importance by BP neural network, the top three important variables were found, which were sleep duration (100%), screen time (49.1%), and breakfast (23.6%).CONCLUSION:
Sleep duration, screen time, and breakfast were associated factors with the most significant impacts on depressive symptoms.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Depressão
/
Estilo de Vida
Tipo de estudo:
Diagnostic_studies
/
Observational_studies
/
Prevalence_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Adolescent
/
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article