Evidence map›Paper›PMID 39845551›Full record

ArticleFrontiers in psychology2024

Participants' satisfaction with social security is closely associated with their acceptance of vulnerable groups: a nationwide cross-sectional study in China.

Chaowei Guo, Yifan Wu, Lina Ge, Li Qi, Yi Ma, Shuang Zang

Abstract read
In one paragraph

Article in Frontiers in psychology, 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
  2. Article
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

6 authors.

Chaowei Guo *Department of Community Nursing, School of Nursing, China Medical University, Shenyang, China.
Yifan Wu *Department of Basic Nursing, School of Nursing, Jilin University, Changchun, China.
Lina GeDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Li QiSchool of Nursing, Qiqihar Medical University, Qiqihar, China.
Yi MaDepartment of Otolaryngology, The First Affiliated Hospital of China Medical University, Shenyang, China.
Shuang ZangDepartment of Community Nursing, School of Nursing, China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Social security, as a core component of the national welfare system, has consistently played a crucial role in ensuring the basic livelihood of citizens and promoting social equity and justice. Against this backdrop, this study explores the association between social security satisfaction and acceptance of vulnerable groups. Methods: This study involved 9923 participants. Generalized linear regression and smooth curve fitting were used to assess the association between social security satisfaction and acceptance of vulnerable groups. Threshold effect was examined by piecewise regression. We conducted subgroup analyses and assessed the potential interaction effect. Results: A non‑linear association was detected between social security satisfaction and inclusion of vulnerable groups with an inflection point of 45.00. When social security satisfaction was < 45.00, inclusion of vulnerable groups increased with increasing social security satisfaction score up to inflection point. The association between social security satisfaction and inclusion of vulnerable groups differed across gender, education level, and spouse subgroups. Discussion: The study reveals the importance of social security satisfaction on their acceptance of vulnerable groups. It has a significant meaning in enhancing individuals' acceptance of vulnerable groups level.

Indexed as

Chinasatisfactionsocial inclusionsocial securityvulnerable groups

Identifiers

PMID39845551
PMCPMC11750770

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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.