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Patterns of Time Use among 12-Year-Old Children and Their Life Satisfaction: A Gender and Cross-Country Comparison.

Jaejin AhnJoan P Yoo
Published in: Child indicators research (2022)
Despite the importance of children's time use to their quality of life, relatively few international comparative studies have focused on the patterns of children's time use and their relationship with quality of life. This study, therefore, aimed to examine the typologies of time use among 12-year-old children by gender and their relationship with their quality of life. We used the second wave of data from the International Survey of Children's Well-Being collected from 16 countries. Children's time use, gender, satisfaction with time use, and life satisfaction were included as the key variables. Latent class analysis using MPLUS 7.0 was utilized. Gender differences in the classification of time-use patterns were identified. Three latent classes (G1, G2, and G3) were identified for girls. Overall high activity group (G1) had the highest level of satisfaction, whereas family helpers (G3) had the lowest level of satisfaction with their time use and life in general. Boys, however, were classified into four classes (B1, B2, B3, and B4). Overall high activity group (B4) had the highest levels of satisfaction with their time use and life in general. The results show that children who actively engage in various activities experience the most satisfaction with their lives and time. Substantial gender differences in time use, particularly around typical gender roles (e.g., housework and family caring), are noteworthy. Programs and policies that encourage children to reduce digital time and enhance activities in other areas are also discussed.
Keyphrases
  • young adults
  • mental health
  • machine learning
  • deep learning
  • cross sectional
  • artificial intelligence