| Literature DB >> 34629911 |
Li Song1, Yan Ge2, Xuyang Zhang3.
Abstract
PURPOSE: WeChat is China' biggest social media platform. In addition to instant messaging, it has a great many useful functions that can help Chinese citizens adapt to an increasingly digitized society. This study aimed to examine the effect of WeChat use on the subjective well-being (SWB) of Chinese older adults living alone, and how the effect could occur. PARTICIPANTS AND METHODS: A total of 415 Chinese older adults living alone participated in the survey. Participants filled out questionnaires (scales) measuring their SWB, proficiency in WeChat use, social activity levels and self-esteem respectively. Mean scores of SWB were used to determine the difference in SWB between the users and non-users, and correlation test was performed to find out the association between proficiency in WeChat use and SWB among the users.Entities:
Keywords: WeChat; intergenerational support; older adults; self-esteem; social activity; subjective well-being
Year: 2021 PMID: 34629911 PMCID: PMC8493272 DOI: 10.2147/PRBM.S330827
Source DB: PubMed Journal: Psychol Res Behav Manag ISSN: 1179-1578
Figure 1Research conceptual model.
Profile of the Participants (N = 415)
| Measure | Items | Frequency | Percentage |
|---|---|---|---|
| Gender | Male | 201 | 48.43% |
| Female | 214 | 51.57% | |
| Age | 60–64 | 188 | 45.30% |
| 65–69 | 169 | 40.72% | |
| 70–79 | 58 | 13.98% | |
| Education | Elementary school or below | 166 | 40.00% |
| Middle school | 179 | 43.13% | |
| High school | 56 | 13.49% | |
| Associate college | 12 | 2.89% | |
| Bachelor’s degree or above | 2 | 0.48% | |
| Monthly Income | CNY 2000 or below | 121 | 29.16% |
| CNY 2001–4000 | 156 | 37.59% | |
| CNY 4001–6000 | 104 | 25.06% | |
| CNY 6001–8000 | 31 | 7.47% | |
| CNY 8001–10,000 | 3 | 0.72% | |
| CNY 10,000 or above | 0 | 0.00% |
Scores Between WeChat Users and Non-Users
| Variables | Group | Mean | SD | ||
|---|---|---|---|---|---|
| Intergenerational Support | Users | 2.712 | 0.304 | 11.007 | <0.001 |
| Non-users | 2.408 | 0.252 | |||
| Social Activity | Users | 16.10 | 3.450 | 9.267 | <0.001 |
| Non-users | 13.24 | 2.731 | |||
| Self-Esteem | Users | 27.09 | 2.499 | 1.797 | =0.073 |
| Non-users | 26.60 | 2.972 |
Pearson’s Correlation Matrix
| Variables | WeChat Proficiency | Intergenerational Support | Social Activity | Self-Esteem |
|---|---|---|---|---|
| WeChat Proficiency | 1 | |||
| Intergenerational Support | 0.576** | 1 | ||
| Social Activity | 0.501** | 0.753** | 1 | |
| Self-Esteem | 0.011 | 0.235** | 0.225** | 1 |
Note: **p < 0.01.
Figure 2Test results of the modified mediation model.
Results of the Mediation Model Test
| Consequent | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| M1 (IGS) | M2 (SA) | Y (SWB) | ||||||||||
| Antecedent | Coeff. | SE | Coeff. | SE | Coeff. | SE | ||||||
| X (WCU) | a1 | 0.0334 | 0.0032 | 0.000 | a2 | 0.23989 | 0.0384 | 0.000 | c’ | 0.1578 | 0.0875 | =0.073 |
| M1 (IGS) | — | — | — | — | — | — | b1, | 9.1123 | 1.9247 | <0.001 | ||
| M2 (SA) | — | — | — | — | — | — | b2 | 0.5319 | 0.1603 | <0.001 | ||
| Constant | iM1 | 2.0621 | 0.0646 | 0.001 | iM2 | 9.6720 | 0.7754 | 0.000 | iy | –1.6684 | 3.5242 | =0.636 |