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This study examines the interrelationship between gestational weight gain, pre-pregnancy body mass index (BMI), race/ethnicity, and their association with hypertensive disorders during pregnancy (HDP).Data from the 2004-2011 national Pregnancy Risk Assessment Monitoring System (PRAMS) were analyzed. Women with singleton live births were included in the analysis (N = 270,131). Gestational weight gain was categorized reflecting the Institute of Medicine (IOM) weight gain recommendation (no gain/weight loss; ≤11, 12-14; 15-25; 26-35; ≥36 pounds). Pre-pregnancy BMI (underweight; normal; overweight; obese) and race/ethnicity (non-Hispanic (NH) White, NH-Black, Hispanic, and NH-other) were examined. Hypertensive disorders during pregnancy were dichotomized (HDP; no HDP). Data were stratified by BMI and race/ethnicity, and multiple logistic regression analysis was conducted to generate odds ratios and 95

作者:Saba W, Masho;Peter, Urban;Susan, Cha;Ronald, Ramus

来源:American journal of hypertension 2016 年 29卷 6期

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收藏
| 浏览:59
作者:
Saba W, Masho;Peter, Urban;Susan, Cha;Ronald, Ramus
来源:
American journal of hypertension 2016 年 29卷 6期
标签:
PRAMS blood pressure body mass index gestational weight gain hypertension hypertensive disorders during pregnancy racial disparities.
This study examines the interrelationship between gestational weight gain, pre-pregnancy body mass index (BMI), race/ethnicity, and their association with hypertensive disorders during pregnancy (HDP).Data from the 2004-2011 national Pregnancy Risk Assessment Monitoring System (PRAMS) were analyzed. Women with singleton live births were included in the analysis (N = 270,131). Gestational weight gain was categorized reflecting the Institute of Medicine (IOM) weight gain recommendation (no gain/weight loss; ≤11, 12-14; 15-25; 26-35; ≥36 pounds). Pre-pregnancy BMI (underweight; normal; overweight; obese) and race/ethnicity (non-Hispanic (NH) White, NH-Black, Hispanic, and NH-other) were examined. Hypertensive disorders during pregnancy were dichotomized (HDP; no HDP). Data were stratified by BMI and race/ethnicity, and multiple logistic regression analysis was conducted to generate odds ratios and 95