Evidence map›Paper›PMID 40656863›Full record

ArticleDigital health

The effects of older Chinese adults' online behaviors on their health habits and health status.

Shu Liu

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

1 author.

Shu LiuSchool of International and Public Affairs, Jilin University, Changchun, China.ORCID https://orcid.org/0009-0007-4782-2684

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to assess the effects of older Chinese adults' online behaviors (including recent access to the Internet and duration of Internet use) on their current health habits and health status. Health status comprised self-rated physical and mental health. Methods: Interviewees aged over 60 years who participated consecutively in the 2010, 2014, 2018, and 2020 China Family Panel Studies were selected. Ordinary least squares and ordered logit regression analyses were used to analyze the associations between older adults' online behaviors and their health habits and status. Propensity score matching analysis was employed to mitigate selection bias. Structural equation modeling was conducted to test the robustness of the findings and to explore whether the associations between recent and continued Internet use and their health were mediated by older adults' prioritization of online entertainment, learning, communication, and lifestyle-related activities. Results: The results showed that Internet access among older adults was positively associated with health habits, increased self-rated health levels, and improved physical and mental health. Continuous Internet use among older adults may be a predictor of better mental health. While prioritization of online life style could improve physical health, prioritization of online communication might be prejudicial to acquiring health habits. Conclusion: Internet access may support healthy aging by encouraging older adults to adopt healthier lifestyles. However, the varied effects of different types of online behavior underscore the importance of designing targeted digital interventions rather than blanket promotion of technology adoption.

Indexed as

Chinese older adultsduration of internet usehealth habitshealth statusrecent internet access

Identifiers

PMID40656863
PMCPMC12254640

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.