Evidence map›Paper›PMID 39722703›Full record

ArticleFrontiers in public health2024

The effect of internet use on depressive symptoms in older adults: based on the chain mediating role of physical exercise and self-rated health.

Lu Lin, Pingping He

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

2 authors.

Lu LinNursing School, Health Science Center, Hunan Normal University, Changsha, China.
Pingping HeNursing School, Health Science Center, Hunan Normal University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depressive symptoms in older adults have been a major public health problem. Although many studies have suggested a potential relationship between Internet use and depressive symptoms, the underlying mechanisms of this relationship among older adults remain unclear. This study aimed to explore the multiple mediating effects of physical exercise and self-rated health on the relationship between Internet use and depressive symptoms in older adults. Methods: Utilizing the 2020 data from the China Family Panel Studies (CFPS), we assessed the depressive status among the older population through the application of the Ambulatory Self-Rating Depression Scale. To validate the associations, we conducted a Pearson correlation analysis. Furthermore, we constructed a mediating effect model, which aimed to delve into the intricate pathways mediating the influence of Internet usage on depressive symptoms in the older adults. Additionally, we employed a latent class analysis to uncover the intricate heterogeneity of depression among older individuals who do not utilize the Internet, offering insights into the diverse manifestations of this condition. Results: After controlling for age, sex, marital status, chronic disease, and education level, regression results showed that the use of the Internet had a significant direct effect on depressive symptoms in the older adults ( Conclusion: Internet use can directly affect the depressive symptoms of the older adults, and can also indirectly affect the depressive symptoms of the older adults through physical exercise and self-rated health. The depressive symptoms of the older adults who do not use the Internet are heterogeneous and can be divided into three categories. With the popularization of the Internet, the use of the Internet should be promoted for the older adults, and the frequency of physical exercise should be enhanced to achieve physical and mental health.

Indexed as

DepressionExerciseInternet UseAgedAged, 80 and overChinaDiagnostic Self EvaluationFemaleHealth StatusHumansInternetMaleMiddle AgedSelf ReportSurveys and Questionnairesdepressive symptomsinternet usemediation analysisphysical exercisepotential profile analysisself-rated healththe older adults

Identifiers

PMID39722703
PMCPMC11669190

What OpenQuestion holds

Textmetadata
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.