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Association Between Recommended Preconception Health Behaviors and Screenings and Improvements in Cardiometabolic Outcomes of Pregnancy

Supporting Files Public Domain
File Language:
English


Details

  • Journal Article:
    Preventing Chronic Disease (PCD)
  • Personal Author:
  • Description:
    Introduction

    Gestational diabetes (GDM) and hypertensive disorders of pregnancy (HDP) are associated with increased risk of maternal and infant illness and long-term elevated cardiometabolic risk. Little information exists on the prevention of either disorder before pregnancy. Our goal was to describe the association between preconception indicators and risk of gestational diabetes and hypertensive disorders of pregnancy.

    Methods

    We used logistic regression to analyze cross-sectional data from the 2016–2017 Pregnancy Risk Assessment Monitoring System (N = 68,493) to quantify the association between 14 preconception health indicators (across domains of health care, nutrition and physical activity, tobacco and alcohol, chronic conditions, mental health, and emotional and social support) and, separately, GDM and HDP. We accounted for sampling weights and controlled for maternal age, race/ethnicity, prepregnancy insurance, prepregnancy body mass index, and report of a check-up in the year before pregnancy.

    Results

    Prepregnancy obesity was the strongest predictor of both HDP (adjusted odds ratio [aOR], 3.1; 95% CI, 2.8–3.5) and GDM (aOR, 3.1; 95% CI, 2.7–3.5). Individual behaviors (eg, exercise, attending a check-up) were not associated with either HDP or GDM. A diagnosis of diabetes before pregnancy predicted HDP (aOR, 2.3; 95% CI, 1.7–3.0).

    Conclusion

    Prepregnancy chronic disease and obesity predicted pregnancy complications (ie, GDM and HDP). Given the challenges in reversing these conditions in the year before pregnancy, efforts to improve preconception health may be best directed broadly to expand access to primary care for all women.

  • Subjects:
  • Source:
    Prev Chronic Dis. 2021; 18
  • ISSN:
    1545-1151
  • Pubmed ID:
    33476258
  • Pubmed Central ID:
    PMC7845551
  • Document Type:
  • Volume:
    18
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:8568f081973f4829d43677ce2148f008ea250b3700938236e71b9ab1233db1120b73c4f053cf592e6baf7ecdb9b8646da5225ae1a78fab45b4773f15eed81c05
  • Download URL:
  • File Type:
    Filetype[PDF - 416.87 KB ]
File Language:
English
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