An analysis of adolescent leisure activity structure based on subjective well-being: Focusing on social network analysis

This study examines how adolescent leisure activity networks relate to subjective well-being (SWB) using Statistics Korea's 2019 Time Use Survey. The analysis includes 241 high-SWB and 241 low-SWB adolescents, assessing network density, inclusiveness, average distance, isolated nodes, degree centrality, and cohesion through NetMiner 4.0, with descriptive statistics processed in SPSS ver. 25.0. The results show clear differences in leisure activity networks. High-SWB adolescents engaged in more social activities and sports, while low-SWB adolescents participated in fewer, more solitary activities. High-SWB networks were diverse and well-connected, whereas low-SWB networks were more fragmented. Screen-based activities also played different roles: supporting social connections in high-SWB adolescents but reinforcing isolation in low-SWB adolescents. This study visually highlights that leisure participation varies by SWB level. The findings suggest that promoting diverse and interactive leisure activities can improve adolescent well-being, offering insights for policy and intervention programs.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-05-09
DOI
https://doi.org/10.1371/journal.pone.0322956
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An analysis of adolescent leisure activity structure based on subjective well-being: Focusing on social network analysis

Jinseok Oh, Jin‐Hyuck Park, Sungmin Son
PLoS ONE
Mental Health Research Topics
article

An analysis of adolescent leisure activity structure based on subjective well-being: Focusing on social network analysis

Jinseok Oh, Jin‐Hyuck Park, Sungmin Son
article en

Abstract

This study examines how adolescent leisure activity networks relate to subjective well-being (SWB) using Statistics Korea's 2019 Time Use Survey. The analysis includes 241 high-SWB and 241 low-SWB adolescents, assessing network density, inclusiveness, average distance, isolated nodes, degree centrality, and cohesion through NetMiner 4.0, with descriptive statistics processed in SPSS ver. 25.0. The results show clear differences in leisure activity networks. High-SWB adolescents engaged in more social activities and sports, while low-SWB adolescents participated in fewer, more solitary activities. High-SWB networks were diverse and well-connected, whereas low-SWB networks were more fragmented. Screen-based activities also played different roles: supporting social connections in high-SWB adolescents but reinforcing isolation in low-SWB adolescents. This study visually highlights that leisure participation varies by SWB level. The findings suggest that promoting diverse and interactive leisure activities can improve adolescent well-being, offering insights for policy and intervention programs.

PLoS ONEVol. 20(5)
Yonsei University (KR), Soonchunhyang University (KR)
Soonchunhyang University, National Institute for International Education
Reduced inequalities
Openalex Percentile: Top 91%
Mental Health Research Topics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.