Evidence map›Paper›PMID 40443923›Full record

ArticleFrontiers in public health2025

The improvement path of depression and anxiety among adult women in Shanxi Province, China: a fuzzy-set qualitative comparative analysis.

Dahong Wu, Guangxian Zeng, Jing Cheng, Jie Liu, Sitian Li, Mengxia Qin, Lu He, Qilong Feng

Abstract readComparative Study
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Dahong WuDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Guangxian ZengDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Jing ChengDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Jie LiuDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Sitian LiDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Mengxia QinDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Lu HeDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Qilong FengMOE Key Laboratory of Cellular Physiology, Department of Physiology, Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression and anxiety (D&A) are currently recognized as complex and prevalent mental disorders that pose major threats to mental health. Women are more susceptible to D&A than men. Methods: We collected data from female participants in Shanxi Province between November 2021 and March 2022 through on-site investigations and an online survey. The survey collected information on sociodemographic traits, lifestyle factors, and physical and mental health. The degree of D&A was evaluated using the Center for Epidemiological Studies Depression Scale (CESD-10) and the Generalized Anxiety Disorder Assessment Scale (GAD-7). We assessed the impact of these factors on D&A symptoms among women using regression and fuzzy-set qualitative comparative analysis (fsQCA). Results: D&A symptoms had many common influencing factors. Regression analysis identified key protective factors against D&A, including better self-rated health (Depression: OR = 0.11, 95% CI = 0.03-0.47; Anxiety: OR = 0.11, 95% CI = 0.02-0.57) and the absence of recent illness (Depression: OR = 0.56, 95% CI = 0.38-0.83; Anxiety: OR = 0.49, 95% CI = 0.35-0.70). Age exhibited marginal protective effects for both conditions (OR = 0.99, 95% CI = 0.98-1.00). In contrast, occupational stress constituted a significant risk factor, substantially increasing the likelihood of depression (OR = 2.66, 95% CI = 1.43-4.96) and anxiety (OR = 2.99, 95% CI = 1.43-4.96). FsQCA analysis did not identify the conditions for ideal mental health (all consistency < 0.9). However, it did identify eight condition configurations predicting mental health (absence of depression symptoms), each achieving consistency ≥0.87. Additionally, two distinct configurations explained resilience to anxiety (consistency ≥0.80). All configurations met fsQCA's consistency requirements, with self-rated health (present in 10/10 pathways), social support (9/10), and marital status (9/10) playing important roles in most configurations. Conclusion: Women's mental health faces significant challenges, with D&A being closely intertwined. FsQCA did not identify any specific condition for the absence of D&A symptoms. However, it revealed multiple pathways to mental well-being, highlighting the need for personalized, multifactorial interventions rather than a one-size-fits-all approach. Regression and fsQCA complement each other, offering unique strengths, and their combined insights should be widely applied to broader research and practice.

Indexed as

AnxietyDepressionAdultChinaFemaleHumansMental HealthMiddle AgedQualitative ResearchSurveys and Questionnairesadult womenanxietydepressionfuzzy-set qualitative comparative analysisregression

Identifiers

PMID40443923
PMCPMC12119263

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.