Relationship between multidimensional sleep health and depression during late pregnancy: a cross-sectional study
Abstract Background Depression is common among pregnant women and identifying modifiable risk factors is critical (e.g., sleep). Individual sleep dimensions, e.g., short sleep duration and poor sleep quality, were associated with a higher risk of depression, while whether the multidimensional constr...
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| Format: | Article |
| Language: | English |
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BMC
2025-06-01
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| Series: | BMC Psychiatry |
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| Online Access: | https://doi.org/10.1186/s12888-025-07026-5 |
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| author | Yueying Wang Jinle Wang Pei Chen Jiahui Zhang Qin Lin Bilgay Izci-Balserk Yan Li Bei Bei Bingqian Zhu |
| author_facet | Yueying Wang Jinle Wang Pei Chen Jiahui Zhang Qin Lin Bilgay Izci-Balserk Yan Li Bei Bei Bingqian Zhu |
| author_sort | Yueying Wang |
| collection | DOAJ |
| description | Abstract Background Depression is common among pregnant women and identifying modifiable risk factors is critical (e.g., sleep). Individual sleep dimensions, e.g., short sleep duration and poor sleep quality, were associated with a higher risk of depression, while whether the multidimensional construct of sleep health could be a protective or risk factor for prenatal depression remains unknown. This study aimed to examine the relationship between multidimensional sleep health and depression during late pregnancy. Methods This study was conducted among women during late pregnancy (28–40 weeks). Sleep health was measured by self-report questionnaires. Each dimension (sleep quality, duration, efficiency, timing, regularity and daytime sleepiness) was categorized as “good” or “poor”. A composite sleep health score was calculated. Depression was measured using the Edinburgh Postnatal Depression Scale. Logistic regression analyses were used to examine the associations between individual sleep health dimensions and depression. Restricted cubic spline analysis was used to explore the dose-response relationship between overall sleep health and depression. Results A total of 329 women were included. Their mean age was 31.6 years and the mean gestational age was 34.7 weeks. Sixty (18.2%) had clinically elevated depression. There was a dose-response relationship between composite sleep health score and depression, with a higher sleep health score associated with a lower risk of depression (OR = 0.572, 95%CI = 0.423–0.774, p for linearity < 0.001). Controlling for covariates, poor sleep quality (OR = 3.485, 95%CI = 1.817–6.683, p < 0.001), short sleep duration (OR = 3.462, 95%CI = 1.513–7.924, p = 0.003), and excessive daytime sleepiness (OR = 3.409, 95%CI = 1.804–6.442, p < 0.001) were associated with a higher risk of depression. Conclusion Both overall sleep health and individual dimensions (sleep quality, short sleep duration, and daytime sleepiness) were associated with depression during late pregnancy. These findings highlight the potential benefits of maintaining sleep health to achieve mental wellbeing in pregnant women. Healthcare providers may consider adding the assessment and management of sleep health as part of routine prenatal care. Clinical trial number Not applicable. |
| format | Article |
| id | doaj-art-313b41906ae448bdabf883d876ed4e5a |
| institution | Kabale University |
| issn | 1471-244X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Psychiatry |
| spelling | doaj-art-313b41906ae448bdabf883d876ed4e5a2025-08-20T03:26:47ZengBMCBMC Psychiatry1471-244X2025-06-0125111010.1186/s12888-025-07026-5Relationship between multidimensional sleep health and depression during late pregnancy: a cross-sectional studyYueying Wang0Jinle Wang1Pei Chen2Jiahui Zhang3Qin Lin4Bilgay Izci-Balserk5Yan Li6Bei Bei7Bingqian Zhu8School of Nursing, Shanghai Jiao Tong UniversitySchool of Nursing, Shanghai Jiao Tong UniversityCollege of Nursing, University of Illinois ChicagoSchool of Nursing, Shanghai Jiao Tong UniversityInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong UniversityCollege of Nursing, University of Illinois ChicagoSchool of Nursing, Hong Kong Polytechnic UniversitySchool of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash UniversitySchool of Nursing, Shanghai Jiao Tong UniversityAbstract Background Depression is common among pregnant women and identifying modifiable risk factors is critical (e.g., sleep). Individual sleep dimensions, e.g., short sleep duration and poor sleep quality, were associated with a higher risk of depression, while whether the multidimensional construct of sleep health could be a protective or risk factor for prenatal depression remains unknown. This study aimed to examine the relationship between multidimensional sleep health and depression during late pregnancy. Methods This study was conducted among women during late pregnancy (28–40 weeks). Sleep health was measured by self-report questionnaires. Each dimension (sleep quality, duration, efficiency, timing, regularity and daytime sleepiness) was categorized as “good” or “poor”. A composite sleep health score was calculated. Depression was measured using the Edinburgh Postnatal Depression Scale. Logistic regression analyses were used to examine the associations between individual sleep health dimensions and depression. Restricted cubic spline analysis was used to explore the dose-response relationship between overall sleep health and depression. Results A total of 329 women were included. Their mean age was 31.6 years and the mean gestational age was 34.7 weeks. Sixty (18.2%) had clinically elevated depression. There was a dose-response relationship between composite sleep health score and depression, with a higher sleep health score associated with a lower risk of depression (OR = 0.572, 95%CI = 0.423–0.774, p for linearity < 0.001). Controlling for covariates, poor sleep quality (OR = 3.485, 95%CI = 1.817–6.683, p < 0.001), short sleep duration (OR = 3.462, 95%CI = 1.513–7.924, p = 0.003), and excessive daytime sleepiness (OR = 3.409, 95%CI = 1.804–6.442, p < 0.001) were associated with a higher risk of depression. Conclusion Both overall sleep health and individual dimensions (sleep quality, short sleep duration, and daytime sleepiness) were associated with depression during late pregnancy. These findings highlight the potential benefits of maintaining sleep health to achieve mental wellbeing in pregnant women. Healthcare providers may consider adding the assessment and management of sleep health as part of routine prenatal care. Clinical trial number Not applicable.https://doi.org/10.1186/s12888-025-07026-5Sleep healthDepressive symptomThird trimesterPregnancy |
| spellingShingle | Yueying Wang Jinle Wang Pei Chen Jiahui Zhang Qin Lin Bilgay Izci-Balserk Yan Li Bei Bei Bingqian Zhu Relationship between multidimensional sleep health and depression during late pregnancy: a cross-sectional study BMC Psychiatry Sleep health Depressive symptom Third trimester Pregnancy |
| title | Relationship between multidimensional sleep health and depression during late pregnancy: a cross-sectional study |
| title_full | Relationship between multidimensional sleep health and depression during late pregnancy: a cross-sectional study |
| title_fullStr | Relationship between multidimensional sleep health and depression during late pregnancy: a cross-sectional study |
| title_full_unstemmed | Relationship between multidimensional sleep health and depression during late pregnancy: a cross-sectional study |
| title_short | Relationship between multidimensional sleep health and depression during late pregnancy: a cross-sectional study |
| title_sort | relationship between multidimensional sleep health and depression during late pregnancy a cross sectional study |
| topic | Sleep health Depressive symptom Third trimester Pregnancy |
| url | https://doi.org/10.1186/s12888-025-07026-5 |
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