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Potential determinants during 'the first 1000 days of life' of sleep problems in school-aged children
Margreet W Harskamp-van Ginkel1, Ruth E Kool1, Lieke van Houtum2
1Amsterdam UMC, University of Amsterdam, Department of Public Health, Amsterdam Public Health Research Institute, Meibergdreef 9, Amsterdam, Netherlands.
Insights
Maternal pre-pregnancy body mass index, anxiety, alcohol consumption, and smoking during pregnancy are linked to childhood sleep problems. Infant weight changes also impact sleep. Further research is needed to understand these early life determinants.
Area of Science:
- Developmental Psychology
- Pediatric Sleep Medicine
- Maternal Health
Background:
- The first 1000 days of life are critical for establishing foundations for health, growth, and neurodevelopment.
- Early life factors influencing sleep problems in childhood remain largely unidentified.
- Understanding these determinants is crucial for early intervention and promoting healthy sleep patterns.
Purpose of the Study:
- To explore potential early life determinants of sleep problems in children aged 7-8 years.
- To investigate associations between prenatal and infant factors and later sleep disturbances.
- To identify key risk factors originating in the first 1000 days of life.
Main Methods:
- Analysis of data from the Amsterdam Born Children and their Development cohort study (n=2746).
- Assessment of childhood sleep problems using the 'Child Sleep Habits Questionnaire' reported by caregivers.
- Multivariable regression analysis to determine associations between potential early life determinants and sleep problem scores.
Main Results:
- Higher pre-pregnancy body mass index (BMI) in mothers was associated with increased childhood sleep problems.
- Maternal anxiety during pregnancy and infancy, alcohol consumption, and smoking were linked to more sleep problems.
- Infants experiencing relative weight loss (delta BMI-SD) showed higher childhood sleep problem scores.
Conclusions:
- Several prenatal and infant factors are identified as potential determinants of childhood sleep problems.
- These findings highlight the importance of maternal health and lifestyle during pregnancy and infancy.
- Further research is recommended to validate these associations and elucidate underlying biological and environmental mechanisms.
Study Objectives:
Early life determinants of sleep problems are mostly unknown. The first 1000 days of life (ie, the time between conception and a child's second birthday) is a period where the foundations for optimum health, growth and neurodevelopment are established. The aim of this explorative study is to identify potential early life determinants of sleep problems at age 7-8 years.
Methods:
Data from the Amsterdam Born Children and their Development cohort study (n = 2746) were analyzed. Sleep problems at age 7-8 years were reported by the caregiver in the 'Child Sleep Habits Questionnaire'. A higher total score indicates more sleep problems. After multiple imputation (n = 20), we studied multivariable associations between all potential determinants and sleep problems using regression analysis.
Results:
A higher pre-pregnancy body mass index (BMI) was associated with more sleep problems at age 7-8 years [β 0.12 (95% CI 0.05, 0.18)]. Children of mothers with symptoms of anxiety during pregnancy [β 0.06 (95% CI 0.03, 0.09)] and infancy period [β 0.04 (95% CI 0.00, 0.07)] had more sleep problems. Children of mothers drinking ≥1 glass of alcohol a day around 14 weeks of gestation had a 2 points higher sleep problem score [β 2.55 (95% CI 0.21, 4.89)] and children of mothers smoking ≥1 cigarette per day in that period had a one point higher score [β 1.07 (95% CI 0.10, 2.03)]. Infants with relative weight loss (delta BMI-SD) had a higher sleep problem score during childhood [β -0.32 (95%CI -0.60, -0.04)].
Conclusions:
We identified several potential determinants during pregnancy and infancy associated with childhood sleeping problems. We encourage further research into these and other potential determinants to replicate results and to identify underlying mechanisms.
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