High body mass index and sleep problems during pregnancy: A meta-analysis and meta-regression of observational studies

Social isolation and insomnia among pregnant women in Japan: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study

OBJECTIVES

To estimate the prevalence of insomnia and examine the association between social isolation and insomnia among pregnant women.

METHODS

This cross-sectional study was part of the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study from 2013 to 2017. Pregnant women were recruited at obstetric clinics and hospitals in Miyagi Prefecture, Japan. We analyzed 17,586 women who completed the questionnaires and were allowed to transcribe medical records. Insomnia was defined as the Athens Insomnia Scale score of ≥6. The Lubben Social Network Scale-abbreviated version was used to assess social isolation (defined as scores <12), and its subscales were used to assess marginal family ties and marginal friendship ties. Multiple logistic regression analyses were conducted to examine the association between social isolation and insomnia during pregnancy, adjusting for age, parity, prepregnancy body mass index, feelings toward pregnancy, education, income, work status, morning sickness, and psychological distress. Multiple logistic regression analyses were also conducted for marginal family ties and marginal friendship ties.

RESULTS

The prevalence of insomnia in the second trimester was 37.3%. Women who were socially isolated were more likely to have insomnia than women who were socially integrated: the multivariate-adjusted odds ratio (OR) was 1.26 (95% confidence interval [CI], 1.16-1.36). Marginal family ties and marginal friendship ties were also associated with increased risks of insomnia: the multivariate-adjusted ORs were 1.40 (95% CI, 1.25-1.56) and 1.15 (95% CI, 1.07-1.24), respectively.

CONCLUSIONS

Social isolation from family and friends was associated with increased risks of insomnia among pregnant women.

Association Between Objectively Assessed Sleep and Depressive Symptoms During Pregnancy and Post-partum

Introduction

Sleep problems are common in pregnancy but many studies have relied only on self-reported sleep measures. We studied the association between objectively measured sleep and peripartum depressive symptoms in pregnant women.

Material and Methods

Sleep was assessed using Actiwatch accelerometers in a sample of 163 pregnant women in the late first (weeks 11–15) or early second trimester (weeks 16–19). Depressive symptoms were assessed in gestational weeks 17, 32 and at 6 weeks post-partum using the Edinburgh Postnatal Depression Scale (EPDS). Multiple linear regression and logistic regression analyses, adjusting for age, BMI, pre-pregnancy smoking, ongoing mental health problems, trimester and season of sleep assessment were carried out to test the association between sleep and depression. Sleep was measured by total sleep time and sleep efficiency, whereas depression was indicated by depressive symptoms and depression caseness. Results are presented as unstandardized beta (B) coefficients or adjusted odds ratios (AOR) and 95% confidence intervals (CI).

Results

Total sleep time ranged from 3 to 9 h (mean 7.1, SD 0.9) and average sleep efficiency was 83% (SD 6.0). Women with the shortest total sleep time, i.e., in the lowest quartile (<6.66 h), reported higher depressive symptoms during pregnancy (week 17, B = 2.13, 95% CI 0.30–3.96; week 32, B = 1.70, 95% CI 0.03–3.37) but not post-partum. Their probability to screen positive for depression in gestational week 17 was increased more than 3-fold (AOR = 3.46, 95% CI 1.07–11.51) but unchanged with regards to gestational week 32 or 6 weeks post-partum. Sleep efficiency was not associated with depressive symptoms at any stage of pregnancy or post-partum.

Discussion

In one of the few studies to use objective sleep measures to date, mental health of pregnant women appeared to be affected by shortened sleep, with total sleep time being negatively associated with depressive symptoms in the early second and third trimester. This finding highlights the relevance of identifying and treating sleep impairments in pregnant women early during antenatal care to reduce the risk of concomitant depression.