Evidence map›Paper›PMID 37333532›Full record

ArticleFrontiers in public health2023

Association between social support and mutual-support needs among the rural adults in China: a cross-sectional study.

Xi Tang, Ling Li, Keru Yao, Qin Luo, Lu Zhao, Lu Li, Zhihan Wang, Yijie Fang, Li Huang, Xinhong Yin

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

10 authors.

Xi TangSchool of Nursing, University of South China, Hengyang, China.
Ling LiDepartment of Gastroenterology, The Second Affiliated Hospital of University of South China, Hengyang, China.
Keru YaoSchool of Nursing, University of South China, Hengyang, China.
Qin LuoSchool of Nursing, University of South China, Hengyang, China.
Lu ZhaoSchool of Nursing, University of South China, Hengyang, China.
Lu LiSchool of Nursing, University of South China, Hengyang, China.
Zhihan WangSchool of Nursing, University of South China, Hengyang, China.
Yijie FangHealth School of Nuclear Industry, Hengyang, China.
Li HuangDepartment of Oncology and Hematology, The Second Affiliated Hospital of University of South China, Hengyang, China.
Xinhong YinSchool of Nursing, University of South China, Hengyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In rural China, there is now a huge gap between the supply and demand for old-age care. To close the gap, developing rural mutual old-age services is extremely important. The purpose of this study is to clarify the relationship among social support, mutual support need, and mutual support willingness. Methods: We conducted an online questionnaire survey using a Chinese Internet research company; 2,102 valid responses were received. The measures comprised the Social Support Rating Scale, the Mutual Support Willingness Questionnaire, and the Mutual Support Needs Scale. We calculated Pearson correlations to explore the association of social support with mutual-support need and mutual-support-need willingness. Multivariate analyses were also conducted using these factors as dependent variables. Results: The total score for the mutual support need for the adults in rural areas was 58.0 ± 12.1 and 36.96 ± 6.40 for social support, approximately 86.8% of the participants were willing to participate in mutual support. Furthermore, mutual support needs were positively correlated with subjective support ( Conclusion: It is necessary for government and health care providers to assess the different needs of rural older people and encourage individuals and organizations to provide mutual support for older people, especially to enhance emotional care for older people and improve their use of support. This is of great significance for developing mutual support services in rural China.

Indexed as

Health StatusRural PopulationAdultAgedChinaCross-Sectional StudiesHumansSocial SupportadultsChinaeldercaremutual-supportrural district

Identifiers

PMID37333532
PMCPMC10275609

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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.