Evidence map›Paper›PMID 39323830›Full record

ArticleHeliyon2024

Mental health status of Chinese residents and its associated factors in the aftermath of the COVID-19 pandemic: A cross-sectional study.

Zhijing Li, Yuan Dong, Huizi Jin, Haihua Gu, Xinying Sun, Juan Cao, Ying Ji

Abstract read
In one paragraph

Article in Heliyon, 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

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

3 citing papers in PubMed.

  1. Article
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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

7 authors.

Zhijing LiDepartment of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, 100191, China.
Yuan DongDepartment of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, 100191, China.
Huizi JinDepartment of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, 100191, China.
Haihua GuDepartment of Language and Culture in Medicine, School of Health Humanities, Peking University, Beijing, 100191, China.
Xinying SunDepartment of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, 100191, China.
Juan CaoDepartment of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, 100191, China.
Ying JiDepartment of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During the COVID-19 pandemic, numerous studies focused on mental health, but few considered both positive and negative aspects within the dual-factor model of psychological well-being. In China, a highly populous country, limited evidence exists regarding mental health and its associated factors following the surge and decline of COVID-19 cases after the loosening of COVID-19 control measures. This study aims to investigate the mental health status of Chinese residents in the aftermath of the pandemic and factors influencing positive and negative indicators using the System-Based Model of Stress. Methods: A cross-sectional online survey of 1,026 participants was conducted in China from March 2-31, 2023, using quota sampling. Structural equation modeling (SEM) was performed to test the conceptual model, where social support, perceived susceptibility, perceived severity, pandemic-related events, coping style, and concern about COVID-19 were considered as predictors, and psychological distress and subjective well-being as outcomes. Results: The results revealed high prevalence rates of psychological distress (23 %) with either of anxiety (15 %) or depression (20 %), and poor subjective well-being (23 %) among Chinese residents after the COVID-19 pandemic. Social support was negatively correlated with psychological distress, and negative coping style, pandemic-related events, and concern about COVID-19 were positively correlated with psychological distress. Moreover, social support was positively correlated with subjective well-being, and negative coping style and pandemic-related events were negatively correlated with subjective well-being. Conclusions: These findings enhance our understanding of the differing correlates of positive and negative mental health, suggesting targeted psychological interventions for post-pandemic and future public health events.

Indexed as

Coping styleCOVID-19Mental healthPublic health eventsSocial support

Identifiers

PMID39323830
PMCPMC11422026

What OpenQuestion holds

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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.