A U-Shaped Association between Internet Use and Depression in China
Bibliographic Data
| ID | 15329720 |
|---|---|
| Authors | Nanfu Hu (0000-0003-2288-5340, Nanfu Hu, School of Public Administration, Hohai University, Nanjing, Jiangsu, China;, Email: [email protected], corresponding author), Jiahao Yu (0000-0001-9098-6739, Hohai University) |
| Year | 2022 |
| Volume | 46 |
| Issue | 6 |
| Pages | 627-636 |
| Publication date | 2022-12-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Health Behavior (JOURNAL) |
| Journal identifiers | ISSN: 1087-3244 • E-ISSN: 1945-7359 |
| Publisher | PNG Publications (PUBLISHER • US) |
| DOI | 10.5993/ajhb.46.6.5 |
| PMID | 36721286 |
| OpenAlex | W4317395597 |
| Language | EN |
| Citations received | 3 |
| References cited | 37 |
Objectives: In this research, we aimed to investigate the relationship between Internet use and depression levels among Chinese residents. Methods: We conducted a cross-sectional study to analyze adults ≥ 18 years old in China using China Family Panel Studies (CFPS) 2018 data. Results: The sample included 23,258 participants. Overall, Internet users presented lower levels of depression compared to non-Internet users. The analysis of the Internet user group showed a U-shaped relationship between the length of free time Internet use and the depression index. Moderate Internet use was significantly associated with a decrease in the depression index after 11 hours per week, Internet use was significantly associated with an increase in the depression index. Analysis of socio-demographic characteristics revealed significant differences in depression indices between urban and rural areas, and between different age, gender, education level, socio-economic status, and health level groups (p Conclusion: There is a need to increase the popularity of the Internet. Internet users should control the length of their Internet use to more rational levels. In the process of large-scale prevention and treatment of depression, it is necessary to pay attention to the differences in depression levels between groups to target solutions
Association (psychology · China · Depression (economics · Environmental health · Geography · Index (typography · Popularity · Psychiatry · Sociology · The Internet · World Wide Web · Child Development and Digital Technology · Computer Science · Demography · Digital Mental Health Interventions · Impact of Technology on Adolescents · Medicine · Psychology · Social Psychology · Gerontology
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| Citations per year | 1.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |