Evidence map›Paper›PMID 39333326›Full record

ArticleScientific reports2024

Effect of internet usage on the life satisfaction of the elderly spousal caregivers of disabled elderly.

Jia Li, Nan Liang, Yue Wu, Xiangcao Ma, Zangyi Liao

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Jia LiSchool of Public Administration, Dongbei University of Finance & Economics, Dalian, 116025, China.
Nan LiangSchool of Public Administration, Dongbei University of Finance & Economics, Dalian, 116025, China.
Yue WuSchool of Public Administration, Dongbei University of Finance & Economics, Dalian, 116025, China.
Xiangcao MaSchool of Public Administration, Dongbei University of Finance & Economics, Dalian, 116025, China.
Zangyi LiaoSchool of Political Science and Public Administration, China University of Political Science and Law, Beijing, 102249, China. cu192043@cupl.edu.cn.

Funding

Social Science Fund of Liaoning Province No. L23BGL030
6 · The paper itself

Abstract

This empirical study examines the impact of internet usage on the life satisfaction of spousal caregivers responsible for elderly individuals with disabilities. Utilizing data from the China Health and Retirement Longitudinal Study (CHARLS), released in November 2023, we analyzed the health status and life satisfaction of these caregivers in the context of the recent rapid development of the internet. A stratified Proportionate to Size Sampling (PPS) approach was employed in this investigation. We assessed whether the life satisfaction of spousal caregivers is associated with internet use and whether internet adoption can moderate intergenerational relationships, interpersonal interactions, and political engagement among these caregivers. The study analyzed a sample of 760 individuals, with an average age of 60.31 years, and rural households comprising 77.14% of the sample. Our findings indicate a positive correlation between internet usage and the life satisfaction of spousal caregivers. This result enhances our understanding of the relationship between internet usage and life satisfaction in this context. Furthermore, this study supports the advancement of internet access for the aging population, assists elderly individuals in bridging the digital divide, and provides a theoretical foundation for the development of targeted, elderly-friendly internet policies by the government.

Indexed as

CaregiversInternet UsePersonal SatisfactionPersons with DisabilitiesSpousesAgedChinaFemaleHumansInternetLongitudinal StudiesMaleMiddle AgedDisabled elderlyEmpirical researchInternet usageProportionate to size sampling techniqueSpousal caregivers

Identifiers

PMID39333326
PMCPMC11436698

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LicenceCC BY-NC-ND
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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.