Evidence map›Paper›PMID 39902250›Full record

ArticleFrontiers in psychiatry2024

Association between internet use and depression among the middle-aged and elderly adults with multimorbidity in China: do gender differences exist?

Jiao Zhang, Yuheng Jia, Lixin Hong, Yixin Zhang, Lihua Li, Kan Tian

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

6 authors.

Jiao Zhang *School of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Yuheng Jia *School of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Lixin HongSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.
Yixin ZhangSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Lihua LiSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Kan TianJiangsu Research Center for Major Health Risk Management and TCM Control Policy, Nanjing University of Chinese Medicine, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Internet use and the results of mental health are related. Numbers of studies presented the association between Internet use and depression, and the middle-aged and elderly adults with multimorbidity are of concern. The study aimed to explore the relationship between Internet use and depression in middle-aged and elderly adults with multimorbidity. Methods: We selected 2550 respondents aged 45 years and above with multimorbidity from the China Health and Retirement Longitudinal Study (CHARLS) 2018 database. Logistic regression models were constructed to examine the effects of Internet use on depression, as well as comparing gender differences. Meanwhile, propensity score matching (PSM) was used to test the robustness of the results. Results: Overall, 49.8% of respondents had a risk of developing depression, and 14.9% of the participants used the Internet. Internet use ( Conclusions: There is a significantly negative association between Internet use and depression in the middle-aged and elderly adults with multimorbidity in China, and this relationship varies across different genders. This suggests that Internet use may be a protective factor for depressive symptoms in the older population, offering a guideline for policymakers to develop specific strategies for different genders.

Indexed as

agingdepressiongender differenceinternet usemultimorbidity

Identifiers

PMID39902250
PMCPMC11788291

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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.