Evidence map›Paper›PMID 35999498›Full record

ArticleBMC geriatrics2022

A study on the impact of Internet use on depression among Chinese older people under the perspective of social participation.

Hua-Lei Yang, Shuo Zhang, Si-Meng Cheng, Zhi-Yun Li, Yuan-Yang Wu, Si-Qing Zhang, Jia-Hao Wang, Yi-Wen Tao, Yi-Dan Yao, Lin Xie and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
23.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 1 country.

Hua-Lei Yang *School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Shuo ZhangSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China. Azs9729666@163.com.
Si-Meng ChengSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Zhi-Yun Li *College of Politics and Public Administration, Qingdao University, Qingdao, China.
Yuan-Yang WuSchool of Medicine and Health Management, Tongji Medical School, Huazhong University of Science and Technology, Wuhan, China. wuyuanyang97225@163.com.
Si-Qing ZhangSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Jia-Hao WangSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Yi-Wen TaoSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Yi-Dan YaoSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Lin XieInstitution of Population and Labor Economics, University of Chinese Academy of Social Science, Beijing, China.
Wen-Jing XiaoSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Xiao-Qing TangSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Jing WuSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Zheng ShenSchool of Economics and Management, Zhejiang A & F University, Hangzhou, China.
Li-Li TangCollege of Chemistry and Chemical Engineering, Yantai University, Yantai, China.
Zhongnan University of Economics and Law · CNHuazhong University of Science and Technology · CNQingdao University · CNUniversity of Chinese Academy of Social SciencesYantai University · CNZhejiang A & F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to evaluate the role of social participation in the relationship between internet use and depressive symptoms among Chinese older adults and investigate how the internet use interact with social participation to reduce the risk of depressive symptoms.

methodsBased on the survey from the China Health and Retirement Longitudinal Study (CHARLS) in 2018, we identified 4645 subjects and used the Ordinary Least Square method (OLS) and Propensity Score Matching method (PSM) to identify the association between Internet use and depression of older people, and further test how social participation played a role in the relationship.

resultsThe level of depression of older people was significantly reduced in those who using internet in China, and the effect was still robust under different identification methods. The mental health was improved when using internet because of the increase of social participation and social capital. Further, The positive effect was stronger especially in those who were female, living in rural areas, has low education attainments and were 70-79 years old.

conclusionsThe popularity of internet use has a positive effect on the depressive symptoms of Chinese older adults. Effective measures were encouraged to improve the friendliness of internet for older people and promote the popularization of the Internet and older group, achieving the spiritual well-being of them in the Internet society.

Indexed as

Internet UseSocial ParticipationAgedChinaFemaleHumansLongitudinal StudiesMaleRetirementDepressionInternet useOlder peopleSocial participation

Identifiers

PMID35999498
PMCPMC9398499
OpenAlexW4293103023

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.