Journal article
Risk of early birth by body mass index in a propensity score matched sample: a retrospective cohort study
BJOG : an international journal of obstetrics and gynaecology, Vol.129(10), pp.1704-1711
02/08/2022
DOI: 10.1111/1471-0528.17120
PMID: 35133077
Abstract
Evaluate the risk of preterm (<37 weeks) or early term birth (37 or 38 weeks) by body mass index (BMI) in a propensity score matched sample.
Retrospective cohort analysis SETTING: California, USA POPULATION: Singleton live births from 2011 - 2017.
Propensity scores were calculated for BMI groups using maternal factors. A referent sample of women with a BMI between 18.5 - <25.0 kg/m
was selected using exact propensity score matching. Risk ratios for preterm and early term birth were calculated.
Early birth RESULTS: Women with a BMI <18.5 kg/m
were at elevated risk of birth between 28-31 weeks (RR 1.2, 95% confidence interval (CI) 1.1-1.4), 32 - 36 weeks (RR 1.3, 95% CI 1.2-1.3), and 37 or 38 weeks (RR 1.1, 95% CI 1.1-1.1). Women with BMIs ≥25.0 kg/m
were at 1.2-1.4-times higher risk of a birth <28 weeks, and were at reduced risk of a birth between 32-36 weeks (RRs 0.8-0.9) and birth during the 37
or 38
week (RRs 0.9).
Women with a BMI <18.5 kg/m
were at elevated risk of a preterm or early term birth. Women with BMIs ≥25.0 kg/m
were at elevated risk of a birth <28 weeks. Propensity score matched women with BMIs ≥30.0 kg/m
were at decreased risk of a spontaneous preterm birth with intact membranes between 32-36 weeks, supporting the complexity of BMI as a risk factor for preterm birth.
Details
- Title: Subtitle
- Risk of early birth by body mass index in a propensity score matched sample: a retrospective cohort study
- Creators
- Rebecca J Baer - The California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USABrittany D Chambers - Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USAKimberly Coleman-Phox - Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USAElena Flowers - Departments of Nursing and Institute for Human Genomics, University of California, San Francisco, USAJonathan D Fuchs - San Francisco Department of Public Health, San Francisco, CA, USAScott P Oltman - Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USAKaren A Scott - The California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USAKelli K Ryckman - Departments of Epidemiology and Pediatrics, University of Iowa, Iowa City, IA, USALarry Rand - Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USALaura L Jelliffe-Pawlowski - Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
- Resource Type
- Journal article
- Publication Details
- BJOG : an international journal of obstetrics and gynaecology, Vol.129(10), pp.1704-1711
- DOI
- 10.1111/1471-0528.17120
- PMID
- 35133077
- ISSN
- 1470-0328
- eISSN
- 1471-0528
- Language
- English
- Electronic publication date
- 02/08/2022
- Academic Unit
- Stead Family Department of Pediatrics; Epidemiology
- Record Identifier
- 9984216626902771
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