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Association between poverty, low educational level and smoking with adolescent's working memory: cross lagged analysis from longitudinal data.
Nugroho, Hari Wahyu; Salimo, Harsono; Hartono, Hartono; Hakim, Moh Abdul; Probandari, Ari.
Afiliación
  • Nugroho HW; Doctoral Program of Public Health, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
  • Salimo H; Doctoral Program of Public Health, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
  • Hartono H; Doctoral Program of Public Health, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
  • Hakim MA; Doctoral Program of Public Health, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
  • Probandari A; Department of Public Health, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
Front Public Health ; 12: 1341501, 2024.
Article en En | MEDLINE | ID: mdl-38590808
ABSTRACT

Background:

Working memory is a crucial element of cognitive function. Previous cross-sectional studies have identified various determinants of working memory in children and adolescents. Nonetheless, no study has yet demonstrated the causal relationship of social determinants with working memory in adolescents.

Objective:

This study explores the causal link between the level of education, smoking, and other factors with adolescent's working memory.

Methods:

This study analyzed secondary data from waves 4 and 5 of the Indonesia Family Life Survey (IFLS), utilizing cross-lagged analysis in Jamovi version 2.4.8. The variables included working memory score, maternal education, household income, stress, educational level, smoking, urbanicity, and physical activity. These variables were extracted from IFLS waves 4 and 5, and each dependent variable in IFLS wave four was controlled by the same dependent variables in IFLS 5. Then, we used cross-lagged analysis to assess the causality between each dependent variable and a working memory score in IFLS wave 5.

Result:

The findings indicate that level of education had a positive impact on working memory in adolescents aged 15-18 years, with a Beta value of 0.18 (95% CI 0.81-0.2; p < 0.001). Smoking and age were negatively associated with working memory, with Beta values of -0.07 (95% CI -0.65 -0.04; p < 0.029) and - 0.10 (95% CI -0.25 -0.05; p < 0.003), respectively. No evidence was found for a significant correlation between poverty and adolescents's working memory.

Conclusion:

The findings indicate that increased education levels are associated with improved working memory in adolescents aged 15-18. At the same time, smoking has a negative impact on working memory in this age group.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fumar / Memoria a Corto Plazo Límite: Adolescent / Child / Humans Idioma: En Revista: Front Public Health Año: 2024 Tipo del documento: Article País de afiliación: Indonesia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fumar / Memoria a Corto Plazo Límite: Adolescent / Child / Humans Idioma: En Revista: Front Public Health Año: 2024 Tipo del documento: Article País de afiliación: Indonesia