Dataset Information

Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania.

ABSTRACT:

Background

Gestational weight gain differs according to pre-pregnancy body mass index and is related to the risks of adverse maternal and child health outcomes. Gestational weight gain charts for women in different pre-pregnancy body mass index groups enable identification of women and offspring at risk for adverse health outcomes. We aimed to construct gestational weight gain reference charts for underweight, normal weight, overweight, and grades 1, 2 and 3 obese women and to compare these charts with those obtained in women with uncomplicated term pregnancies.

Methods

We used individual participant data from 218,216 pregnant women participating in 33 cohorts from Europe, North America, and Oceania. Of these women, 9065 (4.2%), 148,697 (68.1%), 42,678 (19.6%), 13,084 (6.0%), 3597 (1.6%), and 1095 (0.5%) were underweight, normal weight, overweight, and grades 1, 2, and 3 obese women, respectively. A total of 138, 517 women from 26 cohorts had pregnancies with no hypertensive or diabetic disorders and with term deliveries of appropriate for gestational age at birth infants. Gestational weight gain charts for underweight, normal weight, overweight, and grade 1, 2, and 3 obese women were derived by the Box-Cox t method using the generalized additive model for location, scale, and shape.

Results

We observed that gestational weight gain strongly differed per maternal pre-pregnancy body mass index group. The median (interquartile range) gestational weight gain at 40 weeks was 14.2 kg (11.4-17.4) for underweight women, 14.5 kg (11.5-17.7) for normal weight women, 13.9 kg (10.1-17.9) for overweight women, and 11.2 kg (7.0-15.7), 8.7 kg (4.3-13.4) and 6.3 kg (1.9-11.1) for grades 1, 2, and 3 obese women, respectively. The rate of weight gain was lower in the first half than in the second half of pregnancy. No differences in the patterns of weight gain were observed between cohorts or countries. Similar weight gain patterns were observed in mothers without pregnancy complications.

Conclusions

Gestational weight gain patterns are strongly related to pre-pregnancy body mass index. The derived charts can be used to assess gestational weight gain in etiological research and as a monitoring tool for weight gain during pregnancy in clinical practice.

SUBMITTER: Santos S

PROVIDER: S-EPMC6217770 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Publications

Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania.

Santos Susana S Eekhout Iris I Voerman Ellis E Gaillard Romy R Barros Henrique H Charles Marie-Aline MA Chatzi Leda L Chevrier Cécile C Chrousos George P GP Corpeleijn Eva E Costet Nathalie N Crozier Sarah S Doyon Myriam M Eggesbø Merete M Fantini Maria Pia MP Farchi Sara S Forastiere Francesco F Gagliardi Luigi L Georgiu Vagelis V Godfrey Keith M KM Gori Davide D Grote Veit V Hanke Wojciech W Hertz-Picciotto Irva I Heude Barbara B Hivert Marie-France MF Hryhorczuk Daniel D Huang Rae-Chi RC Inskip Hazel H Jusko Todd A TA Karvonen Anne M AM Koletzko Berthold B Küpers Leanne K LK Lagström Hanna H Lawlor Debbie A DA Lehmann Irina I Lopez-Espinosa Maria-Jose MJ Magnus Per P Majewska Renata R Mäkelä Johanna J Manios Yannis Y McDonald Sheila W SW Mommers Monique M Morgen Camilla S CS Moschonis George G Murínová Ľubica Ľ Newnham John J Nohr Ellen A EA Andersen Anne-Marie Nybo AN Oken Emily E Oostvogels Adriëtte J J M AJJM Pac Agnieszka A Papadopoulou Eleni E Pekkanen Juha J Pizzi Costanza C Polanska Kinga K Porta Daniela D Richiardi Lorenzo L Rifas-Shiman Sheryl L SL Roeleveld Nel N Santa-Marina Loreto L Santos Ana C AC Smit Henriette A HA Sørensen Thorkild I A TIA Standl Marie M Stanislawski Maggie M Stoltenberg Camilla C Thiering Elisabeth E Thijs Carel C Torrent Maties M Tough Suzanne C SC Trnovec Tomas T van Gelder Marleen M H J MMHJ van Rossem Lenie L von Berg Andrea A Vrijheid Martine M Vrijkotte Tanja G M TGM Zvinchuk Oleksandr O van Buuren Stef S Jaddoe Vincent W V VWV

BMC medicine 20181105 1

<h4>Background</h4>Gestational weight gain differs according to pre-pregnancy body mass index and is related to the risks of adverse maternal and child health outcomes. Gestational weight gain charts for women in different pre-pregnancy body mass index groups enable identification of women and offspring at risk for adverse health outcomes. We aimed to construct gestational weight gain reference charts for underweight, normal weight, overweight, and grades 1, 2 and 3 obese women and to compare th ...[more]

PMID: 30396358

Similar Datasets

Project description:BackgroundMonitoring gestational weight gain (GWG) is fundamental to ensure a successful pregnancy for the mother and the offspring. There are several international GWG charts, but just a few for low- and middle-income countries.ObjectivesTo construct GWG charts according to pre-pregnancy BMI for Brazilian women.MethodsThis is an individual patient data analysis using the Brazilian Maternal and Child Nutrition Consortium data, comprising 21 cohort studies. External validation was performed using "Birth in Brazil," a nationwide study. We selected adult women with singleton pregnancies who were free of infectious and chronic diseases, gestational diabetes, and hypertensive disorders; who delivered a live birth at term; and whose children were adequate for gestational age, and with a birth weight between 2500-4000 g. Maternal self-reported pre-pregnancy weight and weight measured between 10-40 weeks of gestation were used to calculate GWG. Generalized Additive Models for Location, Scale and Shape were fitted to create GWG charts according to gestational age, stratified by pre-pregnancy BMI.ResultsThe cohort included 7086 women with 29,323 weight gain measurements to construct the charts and 4711 women with 31,052 measurements in the external validation. The predicted medians for GWG at 40 weeks, according to pre-pregnancy BMI, were: underweight, 14.1 kg (IQR, 10.8-17.5 kg); normal weight, 13.8 kg (IQR, 10.7-17.2 kg); overweight, 12.1 kg (IQR, 8.5-15.7 kg); obesity, 8.9 kg (IQR, 4.8-13.2 kg). The 10th, 25th, 50th, 75th, and 90th percentiles were estimated. Results for internal and external validation showed that the percentages below the selected percentiles were close to those expected.ConclusionsThe charts proposed provide a description of GWG patterns according to gestational age and pre-pregnancy BMI among healthy Brazilian women with good neonatal outcomes. The external validation indicates that this new tool can be used to monitor GWG in the primary health-care setting and to test potential recommended values.

Project description:OBJECTIVE:To study the association of prepregnancy body mass index (BMI) and gestational weight gain with child neurodevelopmental outcomes. METHODS:We performed a secondary analysis of data from two parallel, multicenter, randomized, double-blind, placebo-controlled thyroxine replacement trials in pregnant women with either hypothyroxinemia or subclinical hypothyroidism who delivered at term. Body mass index was categorized as normal (18.5-24.9), overweight (25.0-29.9), or obese (30 or greater). We also evaluated early (20 weeks of gestation or less), late (greater than 20 weeks of gestation), and total gestational weight gain and categorized gestational weight gain as inadequate, adequate, and excessive per 2009 Institute of Medicine guidelines. Neurodevelopmental outcomes included 5-year Wechsler Preschool and Primary Scale of Intelligence and 3-year Differential Ability Scales-II. Linear and logistic regression analyses were performed and adjusted for maternal age, race-ethnicity, education, insurance status, parity, smoking and alcohol use, thyroid status (subclinical hypothyroidism or hypothyroxinemia), treatment group, gestational age at delivery, and neonatal sex. RESULTS:Of the 948 women included, 380 (40%), 305 (32%), and 263 (28%) had normal, overweight, and obese prepregnancy BMI, respectively. A total of 106 (11%), 212 (22%), and 630 (66%) of women had inadequate, adequate, and excessive total rates of gestational weight gain, respectively. Maternal differences among the BMI categories included race-ethnicity, education, insurance type, parity, and thyroid status (all P<.01), whereas the gestational weight gain groups only differed by parity (P<.001). In unadjusted analysis, children of obese (93.2±12.8; 88.5±13.3) and overweight (94.1±15.6; 89.6±16.0) women had lower Wechsler Preschool and Primary Scale of Intelligence and Differential Ability Scales-II scores, respectively, than normal-weight women (97.4±15.4; 93.9±16.0; P<.001 for all comparisons); however, in adjusted analysis, there were no differences in neurodevelopmental outcomes by maternal BMI. The association was primarily accounted for by race-ethnicity and education. In unadjusted and adjusted analyses, there were no differences in neurodevelopmental outcomes by adequacy of early, late, or total gestational weight gain. CONCLUSION:In women with either subclinical hypothyroidism or hypothyroxinemia, neither prepregnancy BMI nor gestational weight gain was associated with neurodevelopmental outcomes among children born at term in adjusted analyses.

Dataset Information

Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania.

Background

Methods

Results

Conclusions

Publications

Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania.

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