Dietary variables associated with substantial postpartum weight retention at 1-year among women with GDM pregnancy

Davis, Jaimie N.; Shearrer, Grace E.; Tao, Wei; Hurston, Shanta R.; Gunderson, Erica P.

doi:10.1186/s40608-017-0166-0

Cited by 18 publications

(13 citation statements)

References 44 publications

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“…Besides, pregnancy with obesity also intensifies food insecurity and lowers the quality of food intake [20]. The path coefficient between food intake and BMI in both models denotes a significant relationship, which has been reported in prior studies [20,85]. Based on the factor analysis (Table 5) for urban areas, the soft drinks indicator has the highest value among the indicators.…”

Section: Discussionsupporting

confidence: 59%

Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

Jenatabadi

Radzi

Samsudin

2020

IJERPH

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As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: i) development of a previously created postpartum obesity modeling; ii) construction of a statistical comparison model and introduction of a better estimator for the research framework. The research model displayed the associations and interactions between the variables that were analyzed using the Structural Equation Modeling (SEM) method to determine the body mass index (BMI) levels related to postpartum obesity. The most significant correlations obtained were between BMI and other substantial variables in the SEM analysis. The research framework included two categories of data related to postpartum women: living in urban and rural areas in Iran. The SEM output with the Bayesian estimator was 81.1%, with variations in the postpartum women’s BMI, which is related to their demographics, lifestyle, food intake, and mental health. Meanwhile, the variation based on SEM with partial least squares estimator was equal to 70.2%, and SEM with a maximum likelihood estimator was equal to 76.8%. On the other hand, the output of the root mean square error (RMSE), mean absolute error (MSE) and mean absolute percentage error (MPE) for the Bayesian estimator is lower than the maximum likelihood and partial least square estimators. Thus, the predicted values of the SEM with Bayesian estimator are closer to the observed value compared to maximum likelihood and partial least square. In conclusion, the higher values of R-square and lower values of MPE, RMSE, and MSE will produce better goodness of fit for SEM with Bayesian estimators.

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Section: Discussionsupporting

confidence: 59%

Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

Jenatabadi

Radzi

Samsudin

2020

IJERPH

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“…Compared to examining individual foods or nutrients [36,37], studying diet quality provides a comprehensive picture of the overall dietary patterns which could account for interactions between individual dietary components. Our finding of an association between lower diet quality and substantial PPWR is consistent with a Norwegian cohort, showing that lower adherence to dietary guidelines in pregnancy is associated with increased weight retention at six months postpartum [14].…”

Section: Discussionmentioning

confidence: 99%

Associations of Circadian Eating Pattern and Diet Quality with Substantial Postpartum Weight Retention

et al. 2019

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Besides food quantity and quality, food timing and frequency may contribute to weight regulation. It is unclear if these factors during pregnancy can influence maternal weight retention after childbirth. We thus aimed to examine the associations of maternal circadian eating pattern and diet quality in pregnancy with substantial postpartum weight retention (PPWR) at 18 months in an Asian cohort. We assessed circadian eating pattern and diet quality of 687 women using 24-h dietary recalls at 26–28 weeks’ gestation. We calculated PPWR by subtracting maternal weight in the first trimester from weight at 18-month postpartum and defined substantial PPWR as ≥5 kg weight retention. Multivariable binary logistic regression was performed. Overall, 16% of women had substantial PPWR. After the confounders adjustment, night eating, defined by greater night-time caloric intake (odds ratio 1.95; 95% confidence interval 1.05, 3.62), and lower diet quality, classified by median score of the Healthy Eating Index (1.91; 1.17, 3.10), were independently associated with higher odds of substantial PPWR. No associations with substantial PPWR were observed for night fasting duration and number of eating episodes. In conclusion, alignment of eating time with day–night cycles and diet quality during pregnancy may play a role in PPWR, with possible implications for long-term obesity risk.

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“…This finding is particularly important because few studies have a greater than 6 months, long‐term postpartum follow‐up (Althuizen et al, ; Phelan et al, ; Vesco et al, ). Additionally, studies have tried to understand factors related to pregnancy outcomes (Poston et al, ), such as maternal weight gain, weight retention, and dietary barriers, which are related to more difficulties with losing weight (Carter‐Edwards et al, ; Christenson, Johansson, Reynisdottir, Torgerson, & Hemmingsson, ; Davis, Shearrer, Tao, Hurston, & Gunderson, ; Opie, Neff, & Tierney, ). According to Vesco et al (), a postpartum weight loss maintenance programme could be added to prevent high postpartum weight regain.…”

Section: Discussionmentioning

confidence: 99%

High protein diet promotes body weight loss among Brazilian postpartum women

Castro

Cunha

Araújo

et al. 2018

Maternal & Child Nutrition

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There is evidence in the general population that adhering to a high protein and low carbohydrate diet may help in losing weight. However, there is little evidence among postpartum women. The aim of this study is to evaluate the effect of a high protein diet on weight loss among postpartum women. A parallel-randomized controlled trial with 94 postpartum women was conducted in a maternity ward in Mesquita county (recruitment from February 2009 to December 2010) and in a polyclinic in Rio de Janeiro city (recruitment from December 2010 to December 2011). Women were randomized to the intervention group (IG) or control group (CG), and both groups received an isocaloric diet (1,800 kcal). Additionally, the IG received approximately 25 g of protein obtained from 125 g per week of sardine to increase daily dietary protein content and was advised to restrict carbohydrate intake. The CG received nutritional counselling to follow the national nutrition guidelines (15% protein, 60% carbohydrates, and 25% lipids). A linear mixed-effects model was used to test the effect of high protein intake and macronutrient intake on weight loss during the postpartum period. Body weight decreased in the IG compared with the CG (ß = −0.325; p = 0.049) among overweight and obese postpartum women. The percentage of energy intake from lipid (ß = −0.023; p = 0.050) was negatively associated with body weight, and carbohydrate intake (ß = 0.020; p = 0.026) was positively associated with body weight over time among all women. Protein intake and lower carbohydrate intake may be used as a dietary strategy to improve body weight loss during the postpartum period.

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Dietary variables associated with substantial postpartum weight retention at 1-year among women with GDM pregnancy

Cited by 18 publications

References 44 publications

Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

Associations of Circadian Eating Pattern and Diet Quality with Substantial Postpartum Weight Retention

High protein diet promotes body weight loss among Brazilian postpartum women

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