Evidence map›Paper›PMID 36466466›Full record

ArticleFrontiers in public health2022

Self-reported visual impairment and depression of middle-aged and older adults: The chain-mediating effects of internet use and social participation.

Wenbo He, Peiyi Li, Yinyan Gao, Jiuhong You, Jiangeng Chang, Xing Qu, Wei Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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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

7 authors at 5 institutions in 2 countries.

Wenbo HeInstitute of Hospital Management, West China Hospital of Sichuan University, Chengdu, China.
Peiyi LiDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.
Yinyan GaoXiangya School of Public Health, Central South University, Changsha, China.
Jiuhong YouSchool of Rehabilitation Sciences, West China Hospital of Sichuan University, Chengdu, China.
Jiangeng ChangSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Xing QuInstitute of Hospital Management, West China Hospital of Sichuan University, Chengdu, China.
Wei ZhangWest China Biomedical Big Data Center, West China Hospital of Sichuan University, Chengdu, China.
National University Health System · SGSichuan University · CNCentral South University · CNWest China Hospital of Sichuan University · CNWest China Medical Center of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Visual impairment (VI) is a strong predictor of depression in middle-aged and older adults. However, the underlying mechanisms and pathways have not been well characterized. The purpose of this study was to determine whether Internet use and social participation mediate the effects of self-reported VI on depression. Methods: The study used the fourth wave of cross-sectional data from the China Health and Retirement Longitudinal Study, including 19,766 Chinese adults. Depression was assessed according to the CES-D 10 International Scale. Logistic regression models were used to examine the relationship between self-reported VI and depression. While adjusting for relevant covariates, the PROCESS macro (model nos. 6 and 91) was used to assess the chain-mediating effects of Internet use and social participation. Results: A total of 17,433 respondents were included in this study. The CES-D 10 results showed that 7,327 middle-aged and older adults had depressive symptoms, of whom 39.5% were male and 10.2% were ≥75 years old. 32.1% of respondents self-reported VI. Regression analysis showed a positive association between VI and depression, while Internet use and social participation had a negative predictive effect on depression. In the mediation analysis, the social participation pathway contributed the most to the total effect, accounting for 52.69% of it. The proportion of Internet use is 37.72%. When these two mediators were considered together in the full model, they accounted for 9.58% of the total effect of VI on depression. Conclusion: Internet use and social participation were important mediators that mitigated the effects of VI on depression. Combined with previous evidence, online activities such as e-health and m-health can effectively promote disease monitoring and diagnosis, and various offline social participation activities can also play a role in regulating emotions. Therefore, Internet use and social participation factors may serve as relevant entry points for the development of intervention programs that may further improve the mental health of the visually impaired.

Indexed as

Internet UseSocial ParticipationAgedCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedSelf ReportVision Disorderschain-mediating effectsdepressioninternet usesocial participationvision impairment

Identifiers

PMID36466466
PMCPMC9714326
OpenAlexW4309173057

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.