Pregnancy health in a multi-state US population of systemically underserved patients and their children: PROMISE cohort design and baseline characteristics

被引:3
|
作者
Boone-Heinonen, Janne [1 ]
Lyon-Scott, Kristin [4 ]
Springer, Rachel [2 ]
Schmidt, Teresa [4 ]
Vesco, Kimberly K. [3 ]
Booman, Anna [1 ]
Dinh, Dang [2 ]
Fortmann, Stephen P. [3 ]
Foster, Byron A. [2 ]
Hauschildt, Jenny [4 ]
Liu, Shuling [2 ]
O'Malley, Jean [2 ,4 ]
Palma, Amy [1 ]
Snowden, Jonathan M. [2 ]
Stratton, Kalera [1 ]
Tran, Sarah [1 ]
机构
[1] Oregon Hlth & Sci Univ, OHSU PSU Sch Publ Hlth, 3181 SW Sam Jackson Pk Rd, Portland, OR 97239 USA
[2] Oregon Hlth & Sci Univ, OHSU Sch Med, 3181 SW Sam Jackson Pk Rd, Portland, OR USA
[3] Kaiser Permanente Ctr Hlth Res, 3800 N Interstate Ave, Portland, OR USA
[4] OCHIN Inc, 1881 SW Naito Pkwy, Portland, OR USA
基金
美国国家卫生研究院;
关键词
Gestational weight gain; Body Mass Index; Pregnancy; Child; Retrospective cohort study; Electronic Health Records; GESTATIONAL WEIGHT-GAIN; BODY-MASS INDEX; BMI PEAK; AGE; ASSOCIATIONS; CHILDHOOD; GROWTH; BIRTH; RECOMMENDATIONS; ADIPOSITY;
D O I
10.1186/s12889-024-18257-8
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundGestational weight gain (GWG) is a routinely monitored aspect of pregnancy health, yet critical gaps remain about optimal GWG in pregnant people from socially marginalized groups, or with pre-pregnancy body mass index (BMI) in the lower or upper extremes. The PROMISE study aims to determine overall and trimester-specific GWG associated with the lowest risk of adverse birth outcomes and detrimental infant and child growth in these underrepresented subgroups. This paper presents methods used to construct the PROMISE cohort using electronic health record data from a network of community-based healthcare organizations and characterize the cohort with respect to baseline characteristics, longitudinal data availability, and GWG.MethodsWe developed an algorithm to identify and date pregnancies based on outpatient clinical data for patients 15 years or older. The cohort included pregnancies delivered in 2005-2020 with gestational age between 20 weeks, 0 days and 42 weeks, 6 days; and with known height and adequate weight measures needed to examine GWG patterns. We linked offspring data from birth records and clinical records. We defined study variables with attention to timing relative to pregnancy and clinical data collection processes. Descriptive analyses characterize the sociodemographic, baseline, and longitudinal data characteristics of the cohort, overall and within BMI categories.ResultsThe cohort includes 77,599 pregnancies: 53% had incomes below the federal poverty level, 82% had public insurance, and the largest race and ethnicity groups were Hispanic (56%), non-Hispanic White (23%) and non-Hispanic Black (12%). Pre-pregnancy BMI groups included 2% underweight, 34% normal weight, 31% overweight, and 19%, 8%, and 5% Class I, II, and III obesity. Longitudinal data enable the calculation of trimester-specific GWG; e.g., a median of 2, 4, and 6 valid weight measures were available in the first, second, and third trimesters, respectively. Weekly rate of GWG was 0.00, 0.46, and 0.51 kg per week in the first, second, and third trimesters; differences in GWG between BMI groups were greatest in the second trimester.ConclusionsThe PROMISE cohort enables characterization of GWG patterns and estimation of effects on child growth in underrepresented subgroups, ultimately improving the representativeness of GWG evidence and corresponding guidelines.
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页数:17
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