Evidence map›Paper›PMID 39749234›Full record

ArticleFrontiers in public health2024

Psychological well-being of rural left-behind women in Northwest China and its associated factors: a regional, population-based study.

Fang Niu, Xiang Wang

Abstract read
In one paragraph

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

2 authors.

Fang NiuSchool of Philosophy and Sociology, Lanzhou University, Lanzhou, China.
Xiang WangMedical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Growing awareness has highlighted the challenging living condition faced by rural left-behind women (RLW), yet their psychological well-being has not been fully investigated. This study aims to investigate the psychological well-being of RLW in Northwest China and exploring its associated factors. Samples and methods: A total of 697 RLW from five provincial regions were enrolled. Sociodemographic characteristics were collected using a set of researcher-designed questionnaires. Depression, anxiety, and feeling of security were assessed using the Zung's self-rating depression scale (SDS), Zung's self-rating anxiety scale (SAS), and security questionnaire (SQ), respectively. Results: The prevalences of depression and anxiety among RLW were 35.7 and 37.6%, respectively, and feelings of security was relatively low in RLW, with a mean SQ score of 50.16 ± 11.37. Chi-square tests and multiple linear regression analyses indicated that labor intensity, physical health conditions, marital satisfaction and stability, relationships with children, frequency of husband coming home, left-behind duration, domestic violence, and sexual harassment after husbands left were risk factors of psychological well-being of RLW. Conclusion: These findings revealed that the psychological well-being of RLW in Northwest China is not promising, which should therefore, be given special attention. It is essential to prioritize the improvement of the psychological well-being for RLW by providing accessible and targeted supports and interventions tailored to cope with their challenges.

Indexed as

AnxietyDepressionRural PopulationAdultChinaFemaleHumansMiddle AgedPrevalencePsychological Well-BeingRisk FactorsSurveys and QuestionnairesTransients and Migrantsanxietyassociated factorsdepressionfeeling of securityrural left-behind women

Identifiers

PMID39749234
PMCPMC11693742

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.