Nulliparity is associated with less healthy markers of subclinical cardiovascular disease in young women with overweight and obesity

Obesity (Silver Spring). 2015 May;23(5):1085-91. doi: 10.1002/oby.21044. Epub 2015 Apr 10.

Abstract

Objective: Higher parity is associated with increased subclinical cardiovascular disease (CVD) in mid-life and older women and with increased CVD risk overall. The relationship between parity, subclinical CVD, and infertility in young women with overweight and obesity has been infrequently evaluated.

Methods: Reproductive histories were obtained in 191 (66%) young women with overweight and obesity (BMI 25-39.9 kg/m(2) ) participating in a weight loss trial. Baseline carotid intima-media thickness (IMT) and inter-adventitial diameter (IAD) were assessed via B-mode ultrasound. Linear regression was used to estimate the relationship between parity and carotid measures, adjusted for demographic, cardiovascular, and reproductive risk factors.

Results: Nulliparous women (n = 70, age 34.9 ± 7.1) had increased common carotid IAD (0.230 mm, SE 0.08, P = 0.003) and mean common carotid artery (CCA) IMT (0.031 mm, SE 0.01, P = 0.007) compared with parous women (n = 102, age 39.5 ± 4.9), persisting after adjustment for age, race, and CVD risk factors. No other reproductive factors were statistically significantly associated.

Conclusions: Nulliparity is associated with markers of less healthy carotid arteries in a sample of disease-free 25- to 45-year-old women with overweight or obesity. This may represent a beneficial effect of pregnancy or indicate overall better health in women with overweight/obesity who are capable of childbearing.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Atherosclerosis / etiology*
  • Atherosclerosis / pathology
  • Carotid Arteries / diagnostic imaging
  • Carotid Arteries / pathology*
  • Carotid Artery, Common / diagnostic imaging
  • Carotid Artery, Common / pathology*
  • Carotid Intima-Media Thickness*
  • Female
  • Humans
  • Obesity / complications*
  • Parity*
  • Pregnancy
  • Regression Analysis