Maternal sleep duration and neonatal birth weight: The Japan Environment and Children’s Study

Abstract

Objective: To evaluate the effect of maternal sleep duration (MSD) on low birth weight infants (LBW), small for gestational age infants (SGA), and macrosomia. Design: Prospective cohort study Setting: The Japan Environment and Children's Study (JECS) Population: Participants enrolled in JECS, with singleton pregnancies after 22 weeks, who gave birth between 2011 and 2014. Methods: Participants were categorized into five groups according to MSD during pregnancy: G1 (MSD <6.0 h), G2 (6.0-7.9 h), G3 (8.0-8.9 h), G4 (9.0-9.9 h), and G5 (10.0-12.0 h). Main outcome measures: The effect of MSD on the risk of LBW (<2,500 g and <1,500 g), SGA, and macrosomia (>4,000 g) with G2 as the reference, while adjusting for gestational excessive body weight gain (BWG). Analysis was also performed after stratification by gestational BWG. Results: We analyzed 82,171 participants. The adjusted odds ratios (aORs) of LBW <2,500 g in G4 and G5 and of SGA in G4 were 0.90 (95% confidence interval [CI], 0.83-0.99), 0.86 (95% CI, 0.76-0.99), and 0.91 (95% CI, 0.82-0.99), respectively, before adjusting for excessive gestational BWG. No significant association was observed between MSD and these outcomes after adjusting for excessive gestational BWG. Among women with appropriate gestational BWG, the aORs of LBW <2,500 g and SGA in G4 were 0.88 (95% CI, 0.80-0.97) and 0.87 (95% CI, 0.78-0.97), respectively. Conclusion: This study revealed that 9.0-9.9 h of MSD significantly decreased LBW <2,500 g and SGA in pregnant women with appropriate gestational BWG, relative to 6.0-7.9 h of MSD.

Maternal sleep during pregnancy and adverse pregnancy outcomes: A systematic review and meta‐analysis

“…These studies took place mainly in the USA ( n = 13) 8,31–35,38,39,47,49,50,58,59 . Most studies were cohorts ( n = 32) 8,14,15,21–23,30–34,36,38–54,58,59,62 , whereas there were seven case–control studies 35,37,55–57,60,61 and two cross‐sectional studies 29,63 . A total of 16 studies ( n = 24, 58.8%) reported data for the second trimester.…”

“…Figure 1 shows a flowchart outlining the selection of eligible literature. There were 5,246 articles initially identified, after removing duplicates and double assessment, 41 of which were ultimately included in the meta‐analysis 8,14,15,21–23,29–63 . These studies took place mainly in the USA ( n = 13) 8,31–35,38,39,47,49,50,58,59 .…”

“…These studies took place mainly in the USA (n = 13) 8,[31][32][33][34][35]38,39,47,49,50,58,59 . Most studies were cohorts (n = 32) 8,14,15,[21][22][23][30][31][32][33][34]36,[38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54]58,59,62 , whereas there were seven case-control studies 35,37,[55][56][57]60,61 and two cross-sectional st...…”

“…A total of 16 studies (n = 24, 58.8%) reported data for the second trimester. The measurement of sleep time included a questionnaire (n = 28) 8,14,15,21,22,29,31,[33][34][35][36][37][40][41][42][43][44][45][46][48][49][50]54,56,[59][60][61]63 , PSQI (n = 8) 23,30,51,53,55,57,58,62 , structured interview (n = 1) 47 , monitor (n = 2) 38,39 , sleep log (n = 1) 32 and one study did not report 52 . Notably, studies were published from 2004 to 2021.…”

Commentary on Association between Birth Weight and Risk of Cardiovascular Disease: Evidence from UK Biobank

“…Birth weight is an intuitive reflection of the overall condition of the baby during pregnancy, which can approximately judge the living environment and nutritional status of the baby in utero [7][8][9][10]. Our study focused on the association between birth weight and the risk of CVD, but reckoned without the effect of other prenatal factors on CVD, such as premature birth and intrauterine malnutrition, because of the lack of prenatal factors in UK Biobank.…”