Open AccessQuality of Life and Multilevel Contact Network Structures Among Healthy Adults in Taiwan: Online Participatory Cohort Study
Author(s) -
Tso-Jung Yen,
TaChien Chan,
Yang-Chih Fu,
JingShiang Hwang
Publication year - 2022
Publication title -
jmir. journal of medical internet research/journal of medical internet research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.446
H-Index - 142
eISSN - 1439-4456
pISSN - 1438-8871
DOI - 10.2196/23762
Subject(s) - quality of life (healthcare) , socioeconomic status , social network (sociolinguistics) , psychology , multilevel model , mood , cohort , gerontology , social support , applied psychology , social psychology , demography , medicine , computer science , sociology , population , social media , world wide web , machine learning , psychotherapist
Background People’s quality of life diverges on their demographics, socioeconomic status, and social connections. Objective By taking both demographic and socioeconomic features into account, we investigated how quality of life varied on social networks using data from both longitudinal surveys and contact diaries in a year-long (2015-2016) study. Methods Our 4-wave, repeated measures of quality of life followed the brief version of the World Health Organization Quality of Life scale (WHOQOL-BREF). In our regression analysis, we integrated these survey measures with key time-varying and multilevel network indices based on contact diaries. Results People’s quality of life may decrease if their daily contacts contain high proportions of weak ties. In addition, people tend to perceive a better quality of life when their daily contacts are face-to-face or initiated by others or when they contact someone who is in a good mood or someone with whom they can discuss important life issues. Conclusions Our findings imply that both functional and structural aspects of the social network play important but different roles in shaping people’s quality of life.