Social Media and Life Satisfaction: Evidence from Chinese Time-Use Survey

2019 ◽  
Author(s):  
Te Bao ◽  
Bin Liang ◽  
Yohanes E. Riyanto
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Yu-Jin Cha

Rationale. This study aims to investigate the correlation between the available leisure activity time and life satisfaction of the healthy elderly and the factors affecting them. Method. For the analysis, data from the 2014 Time Use Survey (2014TUS) published by Statistics Korea (KOSTAT) was used. This study classified the detailed activities of 9228 subjects, based on the data in 2014TUS, and analyzed the differences in time use for occupation domains by age group. Results. It was found that a greater amount time used for outdoor leisure activities yielded a higher life satisfaction value. Differences were found in time use by occupation domains between younger and older groups. These showed higher life satisfaction for those with spouses, regular full-time jobs, higher education, and better health. Conclusion. Based on these results, in order to improve the quality of life (QoL) for older adults, it is necessary to develop various leisure programs that require dynamic physical activities and to prepare alternative policies at the national level to promote participation in leisure activities by older adults. This study will provide occupational therapists (OTs) with data they can use to help older adults who have difficulty in time usage through time management intervention to improve their life satisfaction and QoL.


2019 ◽  
Author(s):  
Yu-Jin Cha

Abstract Background: The purpose of this study was to identify whether there is a difference in time use between a group of subjects with occupational balance, the occupational balance group (OB group) and a group of subjects lacking occupational balance, the occupational imbalance group (OI group), and what factors influence the life satisfaction of the OB group. This study used raw data from the 2014 Time Use Survey of the Korea National Statistical Office (KOSTAT). Methods: This study sorted detailed activities of the 9.228 subjects who were over 65 years of age. We conducted an independent sample t-test to confirm the time difference by areas between the OB group and the OI groups. In order to confirm the effect of variables on life satisfaction, we performed regression analysis by applying an ordered probit model (OPM). Results: The analysis of time use corresponding to eight activity areas showed the greatest time use for the instrumental activities of daily living (IADL), followed by rest and sleep, leisure, and activities of daily living (ADL). The largest effect size (ES) was social participation, followed by leisure, IADL, and work. As a result of analyzing the factors affecting the life satisfaction of the OB group, we found that lower age, females, a higher level of education, a lower need for care, higher income, and agricultural residence tended to correspond to higher life satisfaction. Conclusions : This study may provide a basis for the development of the time‐use management and lifestyle redesign programs to assist older adults in pursuing disease prevention and health maintenance roles by themselves.


2019 ◽  
Author(s):  
Craig Sewall ◽  
Daniel Rosen ◽  
Todd M. Bear

The increasing ubiquity of mobile device and social media (SM) use has generated a substantial amount of research examining how these phenomena may impact public health. Prior studies have found that mobile device and SM use are associated with various aspects of well-being. However, a large portion of these studies relied upon self-reported estimates to measure amount of use, which can be inaccurate. Utilizing Apple’s “Screen Time” application to obtain actual iPhone and SM use data, the current study examined the accuracy of self-reported estimates, how inaccuracies bias relationships between use and well-being (depression, loneliness, and life satisfaction), and the degree to which inaccuracies were predicted by levels of well-being. Among a sample of 393 iPhone users, we found that: a.) participants misestimated their weekly overall iPhone and SM use by 22.1 and 16.6 hours, respectively; b.) the correlations between estimated use and well-being variables were consistently stronger than the correlations between actual use and well-being variables; and c.) the amount of inaccuracy in estimated use is associated with levels of participant well-being as well as amount of use. These findings suggest that estimates of device/SM use may be biased by factors that are fundamental to the relationships being investigated. **This manuscript is currently under review**


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