Achieving Appropriate Gestational Weight Gain: The Role of Healthcare Provider Advice

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Abstract

Background: The Institute of Medicine (IOM) revised gestational weight gain recommendations in 2009. We examined associations between healthcare provider advice about gestational weight gain and inadequate or excessive weight gain, stratified by prepregnancy body mass index category. Materials and Methods: We analyzed cross-sectional data from women delivering full-term (37–42 weeks of gestation), singleton infants from four states that participated in the 2010–2011 Pregnancy Risk Assessment Monitoring System (unweighted n = 7125). Women reported the weight gain range (start and end values) advised by their healthcare provider; advice was categorized as follows: starting below recommendations, starting and ending within recommendations (IOM consistent), ending above recommendations, not remembered, or not received. We examined associations between healthcare provider advice and inadequate or excessive, compared with appropriate, gestational weight gain using adjusted prevalence ratios (aPR) and 95% confidence intervals (CIs). Results: Overall, 26.3% of women reported receiving IOM-consistent healthcare provider advice; 26.0% received no advice. Compared with IOM-consistent advice, advice below recommendations was associated with higher likelihood of inadequate weight gain among underweight (aPR 2.22, CI 1.29–3.82) and normal weight women (aPR 1.57, CI 1.23–2.02); advice above recommendations was associated with higher likelihood of excessive weight gain among all but underweight women (aPR range 1.36, CI 1.08–1.72 to aPR 1.42, CI 1.19–1.71). Not remembering or not receiving advice was associated with both inadequate and excessive weight gain. Conclusions: Few women reported receiving IOM-consistent advice; not receiving IOM-consistent advice put women at-risk for weight gain outside recommendations. Strategies that raise awareness of IOM recommendations and address barriers to providing advice are needed.

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Most cited references 19

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Practice Bulletin No. 137: Gestational diabetes mellitus.

(2013)

Gestational diabetes mellitus (GDM) is one of the most common medical complications of pregnancy. Debate continues to surround both the diagnosis and treatment of GDM despite several recent large-scale studies addressing these issues. The purpose of this document is to 1) provide a brief overview of the understanding of GDM, 2) provide management guidelines that have been validated by appropriately conducted clinical research, and 3) identify gaps in current knowledge toward which future research can be directed.

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Estimating model-adjusted risks, risk differences, and risk ratios from complex survey data.

G Bieler, Adrian Williams, R. M. Brown … (2010)

There is increasing interest in estimating and drawing inferences about risk or prevalence ratios and differences instead of odds ratios in the regression setting. Recent publications have shown how the GENMOD procedure in SAS (SAS Institute Inc., Cary, North Carolina) can be used to estimate these parameters in non-population-based studies. In this paper, the authors show how model-adjusted risks, risk differences, and risk ratio estimates can be obtained directly from logistic regression models in the complex sample survey setting to yield population-based inferences. Complex sample survey designs typically involve some combination of weighting, stratification, multistage sampling, clustering, and perhaps finite population adjustments. Point estimates of model-adjusted risks, risk differences, and risk ratios are obtained from average marginal predictions in the fitted logistic regression model. The model can contain both continuous and categorical covariates, as well as interaction terms. The authors use the SUDAAN software package (Research Triangle Institute, Research Triangle Park, North Carolina) to obtain point estimates, standard errors (via linearization or a replication method), confidence intervals, and P values for the parameters and contrasts of interest. Data from the 2006 National Health Interview Survey are used to illustrate these concepts.

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Prevalence and characteristics associated with gestational weight gain adequacy.

Nicholas P Deputy, Andrea Sharma, Shin Y. Kim … (2015)

To estimate the prevalence of gestational weight gain adequacy according to the 2009 Institute of Medicine recommendations and examine demographic, behavioral, psychosocial, and medical characteristics associated with inadequate and excessive gain stratified by prepregnancy body mass index (BMI) category.