Evidence map›Paper›PMID 35613788›Full record

ArticleBMJ open2022

Association between social support, smartphone usage and loneliness among the migrant elderly following children in Jinan, China: a cross-sectional study.

Guangwen Liu, Shixue Li, Fanlei Kong

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 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

3 authors.

Guangwen LiuCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0000-0002-2521-0894
Shixue LiCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China kongfanlei@sdu.edu.cn shixueli@sdu.edu.cn.
Fanlei KongCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China kongfanlei@sdu.edu.cn shixueli@sdu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAs the fast population ageing in the past few decades, China has also witnessed an increase in the number of migrant elderly following children (MEFC). This study aims to examine the relationship between MEFC's social support, smartphone usage and loneliness in Jinan, China.

designCross-sectional survey.

settingShandong Province, China.

participantsThe participants were 656 MEFC aged 60 years or above. PRIMARY AND SECONDARY OUTCOME MEASURES: Loneliness was measured by an eight-item version of the University of California Los Angeles Loneliness Scale (ULS-8). A t-test and one-way Analysis of Variance (ANOVA) were conducted to compare the level of loneliness across different sociodemographic variables, social support indicators and smartphone usage indicators. Structural equation modelling was used to validate the association between the above variables.

resultsThe MEFC's mean score on the ULS-8 was 12.82±4.05, indicating a relatively lower level of loneliness. It was found that social support and smartphone usage exerted negative effects on loneliness of the MEFC, and the standardised direct effects were -0.165 (95% CI -0.257 to -0.070) and -0.094 (95% CI -0.180 to -0.003), respectively. Social support was found to be positively associated with smartphone usage of the MEFC, and the standardised direct effect was 0.147 (95% CI 0.052 to 0.246).

conclusionsThe loneliness of the MEFC was relatively low and was clarified to be negatively associated with social support and smartphone usage. Effective intervention measures on social support and smartphone usage to alleviate loneliness among the MEFC in China were recommended based on this study.

Indexed as

LonelinessTransients and MigrantsAgedChildChinaCross-Sectional StudiesHumansSmartphoneSocial Supportgenitourinary medicinehealth services administration & managementpublic health

Identifiers

PMID35613788
PMCPMC9174823

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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.