ArticleSleep & breathing = Schlaf & Atmung2021
Factors associated with sleep quality among "left-behind women" in rural China: a cross-sectional study.
Article in Sleep & breathing = Schlaf & Atmung, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Inhibition or promotion: a study on the impact of relocation on the mental health of left-behind women.BMC psychology · 2026Article
- Occupational Burnout and Insomnia in Relation to Psychological Resilience Among Greek Nurses in the Post-Pandemic Era.Behavioral sciences (Basel, Switzerland) · 2025Article
- The impact of left-behind experience on the mental health and marital satisfaction.Frontiers in psychology · 2025Article
- Emotional Responses of Hospital Staff to the DASS-21 Survey During Mass COVID-19 Testing After the Relaxation of Prevention and Control Measures in Zhejiang, China, and Their Change Trajectory.Risk management and healthcare policy · 2024Article
- Psychological well-being of rural left-behind women in Northwest China and its associated factors: a regional, population-based study.Frontiers in public health · 2024Article
- The association between micronutrient powder delivery patterns and caregiver feeding behaviors in rural China.BMC public health · 2022Article
- Prevalence and associated factors of depression and anxiety among Chinese diabetic retinopathy patients: A cross-sectional study.PloS one · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe present study aimed to assess the sleep quality of left-behind women in rural China and exploring the factors associated with sleep quality among rural women.
methodsA cross-sectional survey was conducted in Liaoning province, China. A total of 1591 participants were investigated. The sleep quality of rural women was measured by the Pittsburgh Sleep Quality Index scale (PSQI). The data collected included sociodemographic together with psychological factors including depression (CES-D), loneliness (UCLA), social support (PSSS), and resilience (CD-RISC).
resultsThe total prevalence rate of poor sleep quality for all participants was 34.54%, the detection rate of poor sleep quality in left-behind women was 51.6%, while it was only 24.3% in nonleft-behind women. The binary logistic regression indicated that the state of left behind was definitely a risk factor for sleep quality. In addition, physical exercise, social support, and resilience had significantly protective effects on sleep quality. Labor pressure, raising children, life events, depression, and loneliness served as risk factors were related to sleep quality.
conclusionThe general sleep quality of rural left-behind women was not promising in rural China. Urgent attention should be payed to sleep quality of left-behind women. It is very necessary to promote sleep quality of left-behind women by developing public service and mental health system and to provide psychological intervention for those with poor mental health to promote the development of physical and mental health ultimately.
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