Evidence map›Paper›PMID 39839421›Full record

ArticleFrontiers in public health2024

Does social support improve self-management among rural hypertensive patients? An empirical analysis based on generalized propensity score matching.

Jiantao Li, Jingru Zhang, Yuxiao Wang, Hanwen Zhang, Yangyang Ma

Abstract read
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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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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.

Jiantao LiDepartment of Health Economics, School of Management, Shanxi Medical University, Taiyuan, China.
Jingru ZhangDepartment of Health Economics, School of Management, Shanxi Medical University, Taiyuan, China.
Yuxiao WangDepartment of Health Economics, School of Management, Shanxi Medical University, Taiyuan, China.
Hanwen ZhangAcademy of Medical Sciences, Shanxi Medical University, Taiyuan, China.
Yangyang MaDepartment of Health Economics, School of Management, Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to examine the causal effect between perceived social support and self-management in rural patients with hypertension and to provide a basis for improving self-management. Methods: A cross-sectional study of 1,091 rural hypertensive patients in Shanxi Province was conducted from March through June 2022 to analyze the factors influencing social support as well as the causal effects of social support and self-management using generalized propensity score matching. Results: Rural hypertensive patients had a low level of social support (social support score = 0.632 ± 0.178). Social support had a significant and inverted U-shaped relationship with self-management; with increasing social support levels, the levels of self-management first rose and then declined, with an inflexion point of 0.774. Social support had significant negative correlations with sex, age, number of child, living status (i.e., living alone or living with others), disease duration, family economic status, and decision-making power, and positive correlations with having a spouse and having medical insurance. Conclusion: Greater emphasis should be placed on the older adult, individuals living alone, those without spouses, only children, economically disadvantaged populations, and uninsured individuals to enhance the social support they received and ultimately improve their self-management of hypertension. Furthermore, establishing social support systems that are congruent with rural relational networks is crucial for promoting effective hypertension self-management.

Indexed as

HypertensionRural PopulationSelf-ManagementSocial SupportAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPropensity Scorecausal effectgeneralized propensity score matchinghypertensionself-managementsocial support

Identifiers

PMID39839421
PMCPMC11746046

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