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Predictors of Gestational Weight Gain in a Low-Income Hispanic Population: Sociodemographic Characteristics, Health Behaviors, and Psychosocial Stressors

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  • Cara D. Dolin

    (Department of Obstetrics and Gynecology, New York University School of Medicine, New York, NY 10016, USA
    Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA)

  • Rachel S. Gross

    (Department of Pediatrics, Bellevue Hospital Center, New York University School of Medicine, New York, NY 10016, USA)

  • Andrea L. Deierlein

    (College of Global Public Health, New York University, New York, NY 10012, USA)

  • Lauren T. Berube

    (College of Global Public Health, New York University, New York, NY 10012, USA)

  • Michelle Katzow

    (Department of Pediatrics, Bellevue Hospital Center, New York University School of Medicine, New York, NY 10016, USA)

  • Yasaman Yaghoubian

    (Department of Obstetrics and Gynecology, New York University School of Medicine, New York, NY 10016, USA)

  • Sara G. Brubaker

    (Department of Obstetrics and Gynecology, New York University School of Medicine, New York, NY 10016, USA)

  • Mary Jo Messito

    (Department of Pediatrics, Bellevue Hospital Center, New York University School of Medicine, New York, NY 10016, USA)

Abstract

Hispanic women have a higher prevalence of weight associated complications in pregnancy. This ethnic disparity is likely related to behavior patterns, social circumstances, environmental exposures, and access to healthcare, rather than biologic differences. The objective was to determine associations between sociodemographic characteristics, health behaviors, and psychosocial stressors and gestational weight gain (GWG) in low-income Hispanic women. During pregnancy, information on sociodemographic characteristics, health behaviors, and psychosocial stressors were collected. Linear regression estimated mean differences in GWG by selected predictors. Multinomial logistic regression estimated odds of inadequate and excessive GWG by selected predictors. Five-hundred and eight women were included, 38% had inadequate and 28% had excessive GWG; 57% with a normal pre-pregnancy BMI had inadequate GWG. Compared to women with normal BMI, women with overweight or obesity were more likely to have excessive GWG (aRRR = 1.88, 95% CI: 1.04, 3.40 and aRRR = 1.98, 95% CI: 1.08, 3.62, respectively). Mean total GWG was higher among women who were nulliparous (ß = 1.34 kg, 95% CI: 0.38, 2.29) and those who engaged in ≥3 h of screen time daily (ß = 0.98 kg, 95% CI: 0.02, 1.94), and lower among women who were physically active during pregnancy (ß = −1.00 kg, 95% CI: −1.99, −0.03). Eating breakfast daily was associated with lower risk of inadequate GWG (aRRR = 0.47, 95% CI: 0.26, 0.83). Depressive symptoms and poor adherence to dietary recommendations were prevalent, but none of the psychosocial or dietary variables were associated with GWG. In this cohort of primarily immigrant, low-income, Hispanic women, there were high rates of poor adherence to diet and physical activity recommendations, and a majority of women did not meet GWG guidelines. Modifiable health behaviors were associated with GWG, and their promotion should be included in prenatal care.

Suggested Citation

  • Cara D. Dolin & Rachel S. Gross & Andrea L. Deierlein & Lauren T. Berube & Michelle Katzow & Yasaman Yaghoubian & Sara G. Brubaker & Mary Jo Messito, 2020. "Predictors of Gestational Weight Gain in a Low-Income Hispanic Population: Sociodemographic Characteristics, Health Behaviors, and Psychosocial Stressors," IJERPH, MDPI, vol. 17(1), pages 1-11, January.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:1:p:352-:d:305171
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    Cited by:

    1. Heng Yaw Yong & Zalilah Mohd Shariff & Barakatun Nisak Mohd Yusof & Zulida Rejali & Yvonne Yee Siang Tee & Jacques Bindels & Eline M. van der Beek, 2021. "Higher Parity, Pre-Pregnancy BMI and Rate of Gestational Weight Gain Are Associated with Gestational Diabetes Mellitus in Food Insecure Women," IJERPH, MDPI, vol. 18(5), pages 1-11, March.
    2. Ellen S. Mitchell & Qiuchen Yang & Heather Behr & Annabell Ho & Laura DeLuca & Christine N. May & Andreas Michaelides, 2021. "Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight," IJERPH, MDPI, vol. 18(4), pages 1-17, February.

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