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. 2020 Jul 1;150(7):1889-1898.
doi: 10.1093/jn/nxaa104.

Weight Trajectories After Delivery are Associated with Adiposity and Cardiometabolic Markers at 3 Years Postpartum Among Women in Project Viva

Affiliations

Weight Trajectories After Delivery are Associated with Adiposity and Cardiometabolic Markers at 3 Years Postpartum Among Women in Project Viva

Diana C Soria-Contreras et al. J Nutr. .

Abstract

Background: Postpartum weight trajectories and its implications on later cardiometabolic health are not entirely understood.

Objectives: Our objectives were: 1) to characterize maternal weight trajectories from 1 to 24 mo postpartum, 2) to determine the association of prepregnancy BMI, gestational weight gain (GWG), and pregnancy behaviors with the trajectories, and 3) to evaluate the association of weight trajectories with BMI, waist circumference (WC), lipid profile, glucose, insulin resistance, blood pressure, and inflammatory markers at 3 y postpartum.

Methods: We studied 1359 mothers from the prospective cohort Project Viva. Using weights at 1, 6, 12, and 24 mo postpartum, we characterized weight trajectories using a latent class growth model. For objectives 2 and 3, we used multinomial logistic regression and multiple linear regression models, respectively.

Results: Around 85% of women fell into a trajectory of sustained weight loss (1-12 mo) + maintenance (12-24 mo) (reference), 5.7% followed a trajectory characterized by fast weight loss + slight gain, and 9.7% fell into a trajectory of little weight loss + slight gain. Prepregnancy overweight and obesity increased the odds of falling into the fast weight loss + slight gain trajectory, compared with the reference. Prepregnancy overweight [OR 1.57 (95% CI: 1.01, 2.46)] and a higher total GWG rate [3.69 (2.90, 4.68)] increased the odds of falling into the little weight loss + slight gain trajectory, whereas a higher Prudent dietary pattern score was protective [0.73 (0.54, 0.98)]. Women in this trajectory had higher BMI, WC, weight gain from prepregnancy, low-density lipoprotein cholesterol, and inflammatory markers at 3 y postpartum.

Conclusions: Women following a trajectory of little weight loss + slight gain during the first 2 y postpartum had an adverse cardiometabolic profile 3 y after delivery. Targeting diet and GWG during pregnancy and facilitating postpartum weight loss could improve women's long-term health.

Keywords: Project Viva; adiposity; cardiovascular risk factors; diet; gestational weight gain; postpartum weight change; postpartum weight trajectories; pre-pregnancy BMI.

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Figures

FIGURE 1
FIGURE 1
Weight trajectories from 1 to 24 mo postpartum among 1359 women from Project Viva. The graph displays the difference from weight at each time point and prepregnancy weight in kg.
FIGURE 2
FIGURE 2
Associations of total and trimester-specific GWG rates (kg/wk) with trajectories of postpartum weight change among women from Project Viva. The graph displays OR and corresponding 95% CI obtained from multinomial logistic regression. Reference group: sustained weight loss + maintenance (trajectory 2). Adjusted for age at enrollment, race/ethnicity, education, marital status, income, parity, partner's BMI, prepregnancy BMI, and smoking during pregnancy. Estimates for the second and third trimesters were additionally adjusted by the rate of GWG from the previous trimester(s). GWG, gestational weight gain.
FIGURE 3
FIGURE 3
Associations of dietary patterns, SSBs, walking, and TV viewing with trajectories of postpartum weight change among women from Project Viva. The graph displays OR and corresponding 95% CI obtained from multinomial logistic regression. Reference group: sustained weight loss + maintenance (trajectory 2). Adjusted for age, race/ethnicity, education, marital status, income, parity, partner's BMI, prepregnancy BMI, first-trimester GWG rate, second-trimester energy intake (kcal), and smoking during pregnancy. NOTE: Prudent, Western, walking, and TV were included in the same model, and additionally adjusted by the mentioned covariates. SSBs were modeled separately and adjusted by covariates. One serving of SSBs is equivalent to 355 mL. GWG, gestational weight gain; SSB, sugar-sweetened beverage; TV, television.

References

    1. Hales CM, Carroll MD, Fryar CD, Ogden CL.. Prevalence of obesity among adults and youth: United States, 2015–2016. NCHS Data Brief. 2017;; 288:1–8. - PubMed
    1. Poston L, Caleyachetty R, Cnattingius S, Corvalan C, Uauy R, Herring S, Gillman MW. Preconceptional and maternal obesity: epidemiology and health consequences. Lancet Diabetes Endocrinol. 2016;4:1025–36. - PubMed
    1. Gillman MW. Interrupting intergenerational cycles of maternal obesity. Nestle Nutr Inst Workshop Ser. 2016;85:59–69. - PMC - PubMed
    1. Cohen AK, Chaffee BW, Rehkopf DH, Coyle JR, Abrams B. Excessive gestational weight gain over multiple pregnancies and the prevalence of obesity at age 40. Int J Obes. 2014;38:714–8. - PMC - PubMed
    1. Hutchins F, Abrams B, Brooks M, Colvin A, Moore Simas T, Rosal M, Sternfeld B, Crawford S. The effect of gestational weight gain across reproductive history on maternal body mass index in midlife: the study of women's health across the nation. J Womens Health. 2020;29:148–57. - PMC - PubMed

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