Obesity Cut-Off Points Using Prepregnancy Body Mass Index according to Cardiometabolic Conditions in Pregnancy

Author:

Neves Renata O.1ORCID,Rocha Alexandre da S.2ORCID,de Vargas Bruna O.3ORCID,Kretzer Daniela C.1ORCID,de Matos Salete1ORCID,Goldani Marcelo Z.45ORCID,von Diemen Lisia56ORCID,Magalhães José A. de A.57ORCID,Bernardi Juliana R.158ORCID

Affiliation:

1. Graduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

2. Graduate Program in Health Sciences: Gynaecology and Obstetrics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

3. Undergraduate Nutrition Course, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

4. Department of Pediatric, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

5. Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil

6. Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

7. Department of Obstetrics and Gynaecology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

8. Graduate Program in Food, Nutrition and Health, Universidade Federal do Rio Grande do Sul, Medical School, Porto Alegre, Brazil

Abstract

Aim. To suggest cut-off points for body mass index (BMI) using gestational hypertension, preeclampsia, and gestational diabetes mellitus (GDM) as cardiometabolic conditions in pregnancy. Methods. In this prospective study, singleton pregnant women from the fetal medicine service of the Brazilian Unified Health System were included. The pregnancy, perinatal, and newborn data were obtained from the clinical medical records. Maternal anthropometry included an assessment of weight and height and the prepregnancy BMI evaluation categorized according to the World Health Organization cut-off points. The area under the curve and confidence interval values from receiver operator curves were generated to identify the optimal cut-off points using prepregnancy BMI with better sensitivity and specificity. Results. Data on 218 pregnancies were analyzed, with 57.9% ( n = 124 ) being classified as overweight/obese, 11% ( n = 24 ) with GDM, 6.9% ( n = 15 ) with preeclampsia, and 11.0% ( n = 24 ) with gestational hypertension. The BMI cut-off points for predicting cardiometabolic conditions were 27.52 kg/m2 (S: 66.7%; E: 63.8%) for women with GDM; 27.40 kg/m2 (S: 73.3%; E: 62.4%; S: 79.2%; E: 64.9%; S: 70.3%; E: 66.3%) for women with preeclampsia, gestational hypertension, and gestational hypertension plus preeclampsia, respectively; and 27.96 kg/m2 (S: 69.6%; E: 65.6%) for women with preeclampsia plus GDM. Conclusion. The findings suggest that the optimal prepregnancy BMI cut-off point is around 27 kg/m2 for pregnant women with maternal cardiometabolic conditions.

Funder

Universidade Federal do Rio Grande do Sul

Publisher

Hindawi Limited

Subject

Obstetrics and Gynecology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3