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Sobol M, Błachnio A, Meisner M, Szyszkowska J, Jankowski KS. Sleep, circadian activity patterns and postpartum depression: A systematic review and meta-analysis of actigraphy studies. J Sleep Res 2024; 33:e14116. [PMID: 38095248 DOI: 10.1111/jsr.14116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/15/2023] [Accepted: 11/14/2023] [Indexed: 01/16/2024]
Abstract
Transition to motherhood is a period full of challenges and demands. In this review, we focused on the associations of sleep and circadian activity patterns during and after pregnancy with postpartum mental health factors. A systematic review and meta-analysis were conducted (PROSPERO reference 316,505). A search for articles was performed using PsycARTICLES, PsycINFO, PubMed, MEDLINE, Scopus, Cochrane, DARE, hand search, and citation tracking. The search was meant to identify peer-reviewed, experimental and observational studies reporting on women over 18 years old that assessed sleep and circadian activity patterns during pregnancy or postpartum using actigraphy, and investigated postpartum mental health factors. Nineteen relevant publications were selected. Postpartum total sleep at night was the indicator that was most closely related to the psychological functioning of women after childbirth. The results of the systematic review indicated that postpartum total sleep at night was related to postpartum fatigue, and the results of the meta-analysis suggested that total sleep at night was most strongly linked with postpartum depression. More studies are needed to estimate the associations of sleep-wake rhythm during pregnancy and in the postpartum period with postpartum mental health factors.
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Affiliation(s)
| | - Agata Błachnio
- Department of Psychology, Catholic University of Lublin, Lublin, Poland
| | - Michał Meisner
- Department of Psychology, University of Warsaw, Warsaw, Poland
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Sobol M, Błachnio A, Meisner M, Wdowiak A, Wdowiak N, Gorbaniuk O, Jankowski KS. Circadian rhythm and sleep disruptions in relation to prenatal stress and depression symptoms. Chronobiol Int 2024; 41:294-303. [PMID: 38297459 DOI: 10.1080/07420528.2024.2303985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 01/05/2024] [Indexed: 02/02/2024]
Abstract
Circadian rhythm and sleep are related to health, but there is little data on the relationship between the sleep/wake rhythm and mood at different stages of pregnancy. The aim of this prospective, longitudinal study was to investigate the associations of circadian rhythm and sleep disruptions with stress and depression among women in early and late pregnancy. The participants were 26 pregnant women. Objective and subjective estimations of circadian rhythm and sleep were administered, namely actigraphy and the Biological Rhythms Interview of Assessment in Neuropsychiatry in the form of a questionnaire. The Perceived Stress Scale and the Edinburgh Postnatal Depression Scale were also used. Subjectively perceived circadian rhythm disruptions were positively related to stress. Tendency to maintain a regular rhythm of sleep and activity in early pregnancy and subjectively perceived disruptions of circadian rhythms in late pregnancy were positively associated with prenatal depression in late pregnancy. Sleep fragmentation and long time spent in bed at night in early pregnancy were positively associated with stress and depression in late pregnancy. The results suggest the importance of flexibility and the ability to adapt one's circadian activities to the demands of the situation of pregnancy-related changes in lifestyle. They also indicate the significance of good-quality uninterrupted night sleep in early pregnancy.
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Affiliation(s)
| | - Agata Błachnio
- Department of Psychology, John Paul II Catholic University of Lublin, Lublin, Poland
| | - Michał Meisner
- Department of Psychology, University of Warsaw, Warsaw, Poland
| | - Artur Wdowiak
- Faculty of Medicine and Dentistry, Medical University of Lublin, Lublin, Poland
| | - Natalia Wdowiak
- Faculty of Medicine and Dentistry, Medical University of Lublin, Lublin, Poland
| | - Oleg Gorbaniuk
- Institute of Psychology, Maria Curie-Skłodowska University, Lublin, Poland
- Department of Psychology, Casimir Pulaski Radom University, Radom, Poland
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Ng CM, Kaur S, Kok EY, Chew WL, Takahashi M, Shibata S. Sleep, light exposure at night, and psychological wellbeing during pregnancy. BMC Public Health 2023; 23:1803. [PMID: 37716989 PMCID: PMC10504708 DOI: 10.1186/s12889-023-16655-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 08/30/2023] [Indexed: 09/18/2023] Open
Abstract
BACKGROUND Psychological wellbeing during pregnancy is imperative for optimal maternal outcomes. The present study aimed to determine the association between sleep quality, light exposure at night, and psychological wellbeing in the 2nd and 3rd trimesters of pregnancy. METHODS This prospective study was conducted in 9 randomly selected government maternity clinics in Kuala Lumpur, Malaysia. Healthy women aged 20-48 years old with single pregnancy were recruited using convenience sampling (n = 169). Sleep quality, light exposure at night, and psychological wellbeing were self-reported using the Pittsburgh Sleep Quality Index (PSQI), Harvard Light Exposure Assessment (H-LEA), and Depression, Anxiety, and Stress Scale (DASS-21) in the 2nd trimester and followed-up at the 3rd trimester. RESULTS During the 2nd and 3rd trimesters of pregnancy, mild to severe symptoms of stress (10.7 and 11.3%), anxiety (42 and 44.3%), and depression (9.6 and 16.6%) were observed among the participants. Adjusted multiple linear regression revealed that poor sleep quality and higher light exposure at night were attributed to greater stress and depression symptoms in the 3rd trimester. Higher lux level exposed from 10 pm to < 1 am was associated with increased stress (β = 0.212, p = 0.037) and depression (β = 0.228, p = 0.024). Only poor sleep quality was observed to adversely affect anxiety (β = 0.243, p = 0.002) and depression levels (β = 0.259, p = 0.001) in the 2nd trimester. CONCLUSIONS Present study provided preliminary findings on the association between sleep quality, light at night, and psychological wellbeing of pregnant women. As a recommendation, future research could investigate whether public health interventions aimed at decreasing artificial light at night can benefit sleep quality and the psychological health of pregnant women.
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Affiliation(s)
- Choon Ming Ng
- School of Pharmacy, Monash University Malaysia, South Lagoon Road, 47500, Bandar Sunway, Selangor Darul Ehsan, Malaysia
| | - Satvinder Kaur
- Faculty of Applied Sciences, UCSI University, 1, Jalan Puncak Menara Gading, Taman Connaught, 56000, Kuala Lumpur, Malaysia.
| | - Ee Yin Kok
- Faculty of Applied Sciences, UCSI University, 1, Jalan Puncak Menara Gading, Taman Connaught, 56000, Kuala Lumpur, Malaysia
| | - Wan Ling Chew
- Faculty of Applied Sciences, UCSI University, 1, Jalan Puncak Menara Gading, Taman Connaught, 56000, Kuala Lumpur, Malaysia
| | - Masaki Takahashi
- Institute for Liberal Arts, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8550, Japan
| | - Shigenobu Shibata
- Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima City, Hiroshima, 734-8551, Japan
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Ali FZ, Parsey RV, Lin S, Schwartz J, DeLorenzo C. Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response. NPJ Digit Med 2023; 6:81. [PMID: 37120493 PMCID: PMC10148831 DOI: 10.1038/s41746-023-00827-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 04/11/2023] [Indexed: 05/01/2023] Open
Abstract
Major depressive disorder (MDD) is associated with circadian rhythm disruption. Yet, no circadian rhythm biomarkers have been clinically validated for assessing antidepressant response. In this study, 40 participants with MDD provided actigraphy data using wearable devices for one week after initiating antidepressant treatment in a randomized, double-blind, placebo-controlled trial. Their depression severity was calculated pretreatment, after one week and eight weeks of treatment. This study assesses the relationship between parametric and nonparametric measures of circadian rhythm and change in depression. Results show significant association between a lower circadian quotient (reflecting less robust rhythmicity) and improvement in depression from baseline following first week of treatment (estimate = 0.11, F = 7.01, P = 0.01). There is insufficient evidence of an association between circadian rhythm measures acquired during the first week of treatment and outcomes after eight weeks of treatment. Despite this lack of association with future treatment outcome, this scalable, cost-effective biomarker may be useful for timely mental health care through remote monitoring of real-time changes in current depression.
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Affiliation(s)
- Farzana Z Ali
- Department of Biomedical Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA.
| | - Ramin V Parsey
- Department of Biomedical Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
- Department of Psychology, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
- Department of Radiology, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
| | - Shan Lin
- Department of Electrical and Computer Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
| | - Joseph Schwartz
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
| | - Christine DeLorenzo
- Department of Biomedical Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA
- Department of Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY, 10032, USA
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The Efficacy of Digital Cognitive–Behavioral Interventions in Supporting the Psychological Adjustment and Sleep Quality of Pregnant Women with Sub-Clinical Symptoms: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159549. [PMID: 35954901 PMCID: PMC9368246 DOI: 10.3390/ijerph19159549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/25/2022] [Accepted: 07/29/2022] [Indexed: 12/10/2022]
Abstract
The present meta-analysis investigated the overall and differential efficacy of digital cognitive–behavioral therapies (CBTs) vs. third-generation CBTs deployed to pregnant women in reducing sub-clinical depression, anxiety, and stress symptoms while fostering sleep quality and quality of life. A PRISMA-guided systematic search was used, including randomized controlled trials (RCTs) evaluating the above-mentioned interventions. Data were pooled using either the mean difference (MD) or standardized MD (SMD). Sub-group analyses were carried out when appropriate. The primary outcomes were depression, anxiety, and stress symptoms, as well as sleep quality and quality of life. The interventions’ acceptability was evaluated through the odds ratio (OR) of drop-out rates. Seven RCTs were included, comprising 1873 pregnant women. The results showed the interventions’ efficacy in terms of reducing depression symptoms (SMD = −0.36, CI = 0.61, −0.11, k = 9) at the endpoint, although it was not maintained at follow-up during the postpartum period. The interventions’ efficacy in terms of reducing anxiety symptoms (SMD = 1.96, CI = −2.72, −1.21, k = 3) at the endpoint was also significant, while having no effect on sleep quality. The interventions were well accepted (OR = 1.68; 95% CI = 0.84, 3.35; k = 7). Although no sound conclusions can be drawn concerning the joint or differential efficacy of the considered interventions, this study was useful in highlighting the need to develop evidence-based digital prevention programs for pregnant women with sub-clinical symptoms.
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