Evidence map›Paper›PMID 36429504›Full record

ArticleInternational journal of environmental research and public health2022

The Relationship between Internet Use and Self-Rated Health among Older Adults in China: The Mediating Role of Social Support.

Ningning Liu, Yujing He, Zhirong Li

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Internet Use and Self-Rated Health Among Older Adults: Scoping Review.Interactive journal of medical research · 2026
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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

3 authors.

Ningning LiuSchool of Public Administration, Central South University, Changsha 410083, China.ORCID 0000-0001-9776-4338
Yujing HeSchool of Architecture and Art, Central South University, Changsha 410083, China.
Zhirong LiSchool of Architecture and Art, Central South University, Changsha 410083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of Internet technology has significantly impacted how people live their daily lives. How this disparity in Internet use affects the self-rated health of older adults needs to be further explored. This paper studies the impact of Internet use on self-rated health, aiming to examine the effect of Internet use and social support on the self-rated health of older adults in China. This study used data from the 2017 China General Social Survey (CGSS) to verify the effect of Internet use on older adults' self-rated health. The results showed that Chinese elderly who used the Internet had a higher self-rated health, and social support from relatives and friends significantly improved the elderly's self-rated health. This social support played a critical, partially mediating role between Internet use and self-rated health. In China, the effect of Internet use on older adults' self-rated health was heterogeneous. Among them, the impact of Internet use was more significant for the male elderly, younger elderly, and rural elderly. The results suggest that the government should formulate targeted policies to improve the utilization of the Internet and maintain a good Internet environment to enhance the well-being of older adults according to the trend of population aging and the popularity of the Internet.

Indexed as

Health StatusInternet UseAgedChinaFriendsHumansMaleSocial SupportInternet useolder adultsself-rated health

Identifiers

PMID36429504
PMCPMC9690403

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.