Abdominal fat thickness predicts the risk of pregnancy-associated hypertension: A prospective cohort study

Xueteng Ding1, Caiping Xiang2, Chao Wei3

  • 1Public Health School, Medical College of Qingdao University, Qingdao, Shandong Province, China.

Insights

Early pregnancy abdominal fat, including subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT), predicts pregnancy-associated hypertension (PAH). Nutrient intake did not show a significant association with PAH risk in this study.

Area of Science:

  • Obstetrics and Gynecology
  • Maternal-Fetal Medicine
  • Nutritional Science

Background:

  • Pregnancy-associated hypertension (PAH) is a common pregnancy complication.
  • Maternal obesity is a known risk factor for PAH.
  • Nutrition influences obesity and metabolic health, impacting PAH risk.

Purpose of the Study:

  • To investigate the association between early-pregnancy abdominal fat thickness (subcutaneous adipose tissue [SAT] and visceral adipose tissue [VAT]) and nutrient intake with the development of PAH.
  • To assess the predictive value of adiposity indicators for PAH risk.

Main Methods:

  • Prospective cohort study of 1912 pregnant women (9 to 13+6 weeks gestation).
  • Abdominal SAT and VAT measured via ultrasound.
  • Daily nutrient intake assessed using a validated food frequency questionnaire.
  • PAH (gestational hypertension and pre-eclampsia) as the primary outcome.

Main Results:

  • Overall PAH incidence was 7.1%.
  • High SAT (≥17.05 mm) and high VAT (≥28.85 mm) were independently associated with increased PAH risk (aORs 2.74 and 2.42, respectively), irrespective of BMI.
  • Obesity (BMI ≥30 kg/m²) showed a higher aOR (7.04) for PAH compared to overweight (3.16).
  • A predictive model using adiposity indicators achieved an AUC of 0.745.
  • No significant association found between daily nutrient intake and PAH risk.

Conclusions:

  • Early-pregnancy SAT and VAT are significant predictors of PAH, independent of BMI.
  • A predictive model incorporating these fat measures aids in early identification of high-risk pregnancies.
  • Early identification enables timely interventions to improve perinatal outcomes.
Abstract

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