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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Maternal pre-pregnancy body mass index and risk of preterm birth: a collaboration using large routine health datasets
R P Cornish1,2, M C Magnus3, S K Urhoj4
1Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Road, Bristol, BS8 2BN, UK. rosie.cornish@bristol.ac.uk.
Insights
Maternal underweight and obesity increase preterm birth (PTB) risk. Optimal pre-pregnancy body mass index (BMI) varies by parity, with specific ranges identified for spontaneous and medically indicated PTB to minimize adverse outcomes.
Area of Science:
- Reproductive Health
- Maternal-Fetal Medicine
- Epidemiology
Background:
- Preterm birth (PTB) is a major cause of infant mortality and morbidity.
- Maternal underweight and obesity are linked to increased PTB risk, with varying effects on spontaneous PTB (SPTB) and parity.
- Previous research often used broad body mass index (BMI) categories, necessitating a nuanced examination.
Approach:
- Utilized large-scale UK, USA, South Australia, Norway, and Denmark datasets (nearly 29 million pregnancies).
- Employed fractional polynomial multivariable logistic regression and random effects meta-analysis to assess BMI associations with PTB, SPTB, and medically indicated PTB (MPTB).
- Calculated optimal BMI ranges for lowest risk using bootstrapping for confidence intervals.
Key Points:
- Non-linear associations were observed between maternal BMI and all PTB types.
- Elevated risk for any PTB and MPTB occurred at both low and high BMIs.
- SPTB risk increased with lower BMI but showed minimal change at higher BMIs, irrespective of parity.
Conclusions:
- Severe maternal underweight and overweight are associated with PTB risk.
- Optimal BMI for lowest PTB risk differs between nulliparous (22.5 kg/m²) and multiparous (25.9 kg/m²) women.
- Specific optimal BMIs were identified for MPTB (20.4 kg/m² nulliparous, 22.2 kg/m² multiparous), with SPTB risk plateauing around 25-30 kg/m².
Background:
Preterm birth (PTB) is a leading cause of child morbidity and mortality. Evidence suggests an increased risk with both maternal underweight and obesity, with some studies suggesting underweight might be a greater factor in spontaneous PTB (SPTB) and that the relationship might vary by parity. Previous studies have largely explored established body mass index (BMI) categories. Our aim was to compare associations of maternal pre-pregnancy BMI with any PTB, SPTB and medically indicated PTB (MPTB) among nulliparous and parous women across populations with differing characteristics, and to identify the optimal BMI with lowest risk for these outcomes.
Methods:
We used three UK datasets, two USA datasets and one each from South Australia, Norway and Denmark, together including just under 29 million pregnancies resulting in a live birth or stillbirth after 24 completed weeks gestation. Fractional polynomial multivariable logistic regression was used to examine the relationship of maternal BMI with any PTB, SPTB and MPTB, among nulliparous and parous women separately. The results were combined using a random effects meta-analysis. The estimated BMI at which risk was lowest was calculated via differentiation and a 95% confidence interval (CI) obtained using bootstrapping.
Results:
We found non-linear associations between BMI and all three outcomes, across all datasets. The adjusted risk of any PTB and MPTB was elevated at both low and high BMIs, whereas the risk of SPTB was increased at lower levels of BMI but remained low or increased only slightly with higher BMI. In the meta-analysed data, the lowest risk of any PTB was at a BMI of 22.5 kg/m2 (95% CI 21.5, 23.5) among nulliparous women and 25.9 kg/m2 (95% CI 24.1, 31.7) among multiparous women, with values of 20.4 kg/m2 (20.0, 21.1) and 22.2 kg/m2 (21.1, 24.3), respectively, for MPTB; for SPTB, the risk remained roughly largely constant above a BMI of around 25-30 kg/m2 regardless of parity.
Conclusions:
Consistency of findings across different populations, despite differences between them in terms of the time period covered, the BMI distribution, missing data and control for key confounders, suggests that severe under- and overweight may play a role in PTB risk.
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