ABSTRACT
Objective
The aims of this study were to examine the incidence and correlates of insomnia and its impact on health-related quality of life among Chinese pregnant women.
Method
A cross-sectional study was performed from November 2018 to April 2019 in a university-affiliated general hospital in Guangzhou, China. Seven hundred and seventeen pregnant women completed the 36-item Short-Form Health Survey (SF-36), the Self-Rating Anxiety Scale (SAS), the Self-Rating Depression Scale (SDS), and the obstetric and sociodemographic data sheet.
Findings
24.3% of the pregnant women suffered from insomnia. Compared with women without insomnia, those with insomnia had a significantly lower health-related quality of life during pregnancy. Maternal age, educational level, occupation, economic status, insurance coverage, gestational age, the woman’s relationship with her mother-in-law and anxiety were significantly associated with insomnia among pregnant women.
Conclusion
The incidence of insomnia among pregnant women is high, and insomnia is negatively correlated with health-related quality of life. Appropriate measures and practical therapeutic programmes should be provided to prevent the adverse effects of insomnia in pregnant women with advanced maternal age, lower education, lower economic status, unemployment, lack of insurance coverage, unsatisfied with their relationships with their mothers-in-law, and suffering from anxiety symptoms, especially in the third trimester.
Acknowledgments
We thank all the women who participated in the present study.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Ethical considerations and procedure
Ethical approval was obtained from the Institutional Review Boards (IRB) of the Third Affiliated Hospital of Sun Yat-sen University. Because the present study was only a survey, the IRB of the hospital provided us a fast-track review without assigning numbers.
Availability of data and materials
The dataset analyzed during the current study is not publicly available because consent had not been obtained from the study participants for level of disclosure. Deidentified data may be made available from the corresponding author upon reasonable request, subject to permission from the relevant ethics committees at the hospital and university.
Author statement
The article is the authors’ original work, and this article has not been previously published and is not under consideration for publication elsewhere. All authors have seen and approved the manuscript being submitted. All authors abide by the copyrightterms and conditions of Elsevier.
Credit authorship contribution statement
#Jing-ping Yang: Conceptualization, Methodology, Investigation, Formal analysis, Writing - original draft, Writing - review & editing, Visualization. #Rong-jin Lin: Conceptualization, Investigation, Formal analysis, Writing - original draft, Writing - review & editing, Visualization. Ke Sun: Resources, Data curation, Formal analysis. Ling-ling Gao: Conceptualization, Writing - review & editing, Visualization, Supervision.
#Jing-ping Yang and Rong-jin Lin contributed equally to the work, and they should be regarded as co-first authors.