A systematic review of outcomes of maternal weight gain according to the Institute of Medicine recommendations: birthweight, fetal growth, and postpartum weight retention

Siega‐Riz, Anna Maria; Viswanathan, Meera; Moos, Merry-K; Deierlein, Andrea; Mumford, Sunni L.; Knaack, Julie; Thieda, Patricia; Lux, Linda J; Lohr, Kathleen N

doi:10.1016/j.ajog.2009.07.002

Cited by 603 publications

(475 citation statements)

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“…Moreover, it has been shown that weight gain during pregnancy is also related to the increased birth weights [24,25]. Although this study has shown significant association between diabetes and LGA, the data were not based on cohort design, and therefore, this should not be interpreted as causation.…”

Section: Diabetes and Lgamentioning

confidence: 75%

Large for Gestational Age Births Among South Indian Women: Temporal Trend and Risk Factors from 1996 to 2010

Jeyaseelan

Yadav

Silambarasan

et al. 2015

J Obstet Gynecol India

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Background/Purpose Mean birth weight is a good health indicator for any population. In the recent past, there have been many reports in the West indicating that there has been an increase in the proportion of large for gestational age (LGA) babies. The objective is to describe the change in the incidence of LGA babies from 1996 to 2010 in South India and the maternal risk factors. Methods A rotational sampling scheme was used, i.e., the 12 months of the year were divided into 4 quarters and a month was from each quarter was selected rotationally. All deliveries for that month were considered. Only deliveries that occurred between 28 and 42 weeks of pregnancy were considered. The association between risk variables was studied using multivariable logistic regression. Results There were 35,718 deliveries that occurred during these 15-year-study period in the gestational age 28-42 weeks were registered through the outpatient clinics. The incidence of LGA was 9.4 % that has mostly Lakshmanan Jeyaseelan is a Professor, Bijesh Yadav is a Senior Demonstrator, Veerasamy Silambarasan is a Research Fellow in the Department of Biostatistics, Reeta Vijayaselvi is a Assistant Professor, Ruby Jose is a Professor and Head in the Obstetrics and Gynaecology Unit IV, Christian Medical College, Vellore, India.Publishing datasets The dataset will not be available for publishing online since further research has been planned. remained at the same level. The incidence of LGA in mothers with gestational diabetes was 6.7, 3 and 17.6 % in overweight, obese and gestational l diabetes mothers. Overweight, obesity in pregnant women and cesarean section were significant risk factors. Conclusion Unlike in Western countries, where the incidence of LGA babies has spiraled upward, has remained nearly at the same level over one and a half decades, in South India. The risk factors for giving birth toLGA babies in South India were similar to other studies.

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Section: Diabetes and Lgamentioning

confidence: 75%

Large for Gestational Age Births Among South Indian Women: Temporal Trend and Risk Factors from 1996 to 2010

Jeyaseelan

Yadav

Silambarasan

et al. 2015

J Obstet Gynecol India

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“…, normal weight to overweight or obesity; , overweight to obesity; , class I obesity to class II obesity; , overweight or obesity with BMI increase without changing category; , overweight or obesity with BMI decrease without changing category; , without obesity risk) among women of two cities in southern Brazil (n 370), ECCAGE cohort study, [2006][2007] the postpartum period, are important obesity predictors for women of reproductive age (8,38) . Recent anthropometric data from the 2008-2009 Family Budget Study are alarming in the sense of demonstrating that weight excess is present in 48 % of the Brazilian female adult population, exceeding the frequency of weight deficit thirteen times.…”

Section: Discussionmentioning

confidence: 99%

“…Gestational weight gain above the recommendations of the Institute of Medicine (IOM) is considered the most important predictor for postpartum weight retention, increasing the short-, medium-and long-term risk obesity (3)(4)(5)(6)(7)(8) .…”

Section: Postpartum Bmi Fibre Intake Maternal Obesitymentioning

confidence: 99%

Fibre intake and evolution of BMI: from pre-pregnancy to postpartum

Drehmer

Camey

Nunes

et al. 2012

Public Health Nutr.

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Objective: To evaluate the effect of fibre intake on the evolution of maternal BMI from pregnancy to postpartum and to identify dietary patterns associated with fibre intake. Design: Cohort study. Food intake was obtained using an FFQ. Focused principal component analysis was used focusing on the variables: postpartum weight retention and total dietary fibre intake. Poisson regression models with robust variance were built in order to measure the effect of fibre intake during the postpartum period on obesity risk. Setting: Primary care clinics in southern Brazil. Subjects: Pregnant women (n 370) were followed until the 5th month postpartum. Results: The highest contribution to fibre intake came from the consumption of beans. Consumption of bread and rice indicated a common Brazilian food pattern along with beans. Participants retained a median of 4?4 (interquartile range 0?6, 7?9) kg of weight gained during pregnancy. Obesity risk, defined as an unfavourable evolution of BMI during pregnancy and postpartum, was present in 189 (55?1 %) women. Individual food items did not have an important effect on weight retention. In Poisson regression adjusting for maternal age, pre-pregnancy BMI and total gestational weight gain, inadequate postpartum fibre intake increased obesity risk by 24 % (relative risk 5 1?24; 95 % CI 1?05, 1?47). Conclusions: Important maternal weight retention occurred in these women. Adequate fibre intake may reduce obesity risk in the period following childbirth. Keywords Postpartum BMI Fibre intake Maternal obesityThe postpartum period appears to be a critical period for obesity development in women of reproductive age due to maternal weight retention determined by a series of interrelated factors (1,2) . Gestational weight gain above the recommendations of the Institute of Medicine (IOM) is considered the most important predictor for postpartum weight retention, increasing the short-, medium-and long-term risk obesity (3)(4)(5)(6)(7)(8) .Among other factors associated with postpartum weight variation, maternal age, parity, social and demographic factors as well as pre-pregnancy nutritional status represent non-modifiable factors or ones that occur before pregnancy (1,2) . Modifiable factors related to lifestyle, such as diet, physical activity, smoking and lactation, and their effects on the postpartum weight evolution, are still relatively underexplored in the literature (9)(10)(11)(12) .Maternal energy intake needs to be increased in both pregnancy and postpartum in order to meet physiological demands. The American Dietetic Association recommends that food intake in pregnancy and the postpartum period should be based on whole grains, fruit and vegetables, aiming at meeting recommended vitamin and mineral contents (13) . Nutritional restriction is discouraged even for obese women in the postpartum period, and methods that emphasize a fast weight loss are not recommended (14) . Approximately 13-20 % of women do not return to their pre-pregnancy weight, showing significant postpartum weig...

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“…This research shows that household and community migration are associated with increased risk of child and adult overweight in Mexico, arguably because remittancesdboth monetary and socialdresult in less healthy diets and lower levels of physical activity (Creighton et al, 2011;Riosmena et al, 2013). Maternal weight prior to pregnancy and maternal weight gain during pregnancy raise infant birthweight (Siega-Riz et al, 2009). If migration raises the weight of adults in sending communities, it may thereby also raise the weights of infants both above the threshold for LBW and above the threshold for macrosomia, which would mean that migration has mixed impacts on the health of infants, decreasing risk for some but raising it for others.…”

Section: Introductionmentioning

confidence: 84%

The mixed effects of migration: Community-level migration and birthweight in Mexico

Hamilton

Choi

2015

Social Science & Medicine

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a b s t r a c tResearch on the relationship between migration and infant health in Mexico finds that migration has mixed impacts on the risk of low birthweight (LBW). Whereas the departure and absence of household and community members are harmful, remittances are beneficial. We extend this work by considering a different measure of infant health in addition to LBW: macrosomia (i.e., heavy birthweight), which is associated with infant, child, and maternal morbidities but has a different social risk profile from LBW. We link the 2008 and 2009 Mexican birth certificates with community data from the 2000 Mexican census to analyze the association between various dimensions of community-level migration (i.e., rates of out-migration, receipt of remittances, and return migration) and the risk of LBW and macrosomia. We examine this association using two sets of models which differ in the extent to which they account for endogeneity. We find that the health impacts of migration differ depending not only on the dimension of migration, but also on the measure of health, and that they are robust to potential sources of endogeneity. Whereas community remittances and return migration are associated with lower risk of LBW, they are associated with increased risk of macrosomia. By contrast, out-migration is associated with increased risk of LBW and lower risk of macrosomia. Our analysis of endogeneity suggests that bias resulting from unmeasured differences between communities with different levels of migration may result in an underestimate of the impacts of community migration on birthweight.

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A systematic review of outcomes of maternal weight gain according to the Institute of Medicine recommendations: birthweight, fetal growth, and postpartum weight retention

Cited by 603 publications

References 41 publications

Large for Gestational Age Births Among South Indian Women: Temporal Trend and Risk Factors from 1996 to 2010

Large for Gestational Age Births Among South Indian Women: Temporal Trend and Risk Factors from 1996 to 2010

Fibre intake and evolution of BMI: from pre-pregnancy to postpartum

The mixed effects of migration: Community-level migration and birthweight in Mexico

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