Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania
Year: 2018
Type: article
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.
DOI: 10.11575/prism/45823
Authors: Santos, Susana, Eekhout, Iris, Voerman, Ellis, Gaillard, Romy, Barros, Henrique, Charles, Marie-Aline, Chatzi, Leda, Chevrier, Cécile, Chrousos, George P, Corpeleijn, Eva, Costet, Nathalie, Crozier, Sarah, Doyon, Myriam, Eggesbø, Merete, Fantini, Maria P, Farchi, Sara, Forastiere, Francesco, Gagliardi, Luigi, Georgiu, Vagelis, Godfrey, Keith M, Gori, Davide, Grote, Veit, Hanke, Wojciech, Hertz-Picciotto, Irva, Heude, Barbara, Hivert, Marie-France, Hryhorczuk, Daniel, Huang, Rae-Chi, Inskip, Hazel, Jusko, Todd A, Karvonen, Anne M, Koletzko, Berthold, Küpers, Leanne K, Lagström, Hanna, Lawlor, Debbie A, Lehmann, Irina, Lopez-Espinosa, Maria-Jose, Magnus, Per, Majewska, Renata, Mäkelä, Johanna, Manios, Yannis, McDonald, Sheila W, Mommers, Monique, Morgen, Camilla S, Moschonis, George, Murínová, Ľubica, Newnham, John, Nohr, Ellen A, Andersen, Anne-Marie N, Oken, Emily, Oostvogels, Adriëtte J J M, Pac, Agnieszka, Papadopoulou, Eleni, Pekkanen, Juha, Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Rifas-Shiman, Sheryl L, Roeleveld, Nel, Santa-Marina, Loreto, Santos, Ana C, Smit, Henriette A, Sørensen, Thorkild I A, Standl, Marie, Stanislawski, Maggie, Stoltenberg, Camilla, Thiering, Elisabeth, Thijs, Carel, Torrent, Maties, Tough, Suzanne C, Trnovec, Tomas, van Gelder, Marleen M H J, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja G M, Zvinchuk, Oleksandr, van Buuren, Stef, Jaddoe, Vincent W V
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: U.S. Environmental Protection Agency, March of Dimes Foundation, Compagnia di San Paolo, Max Bell Foundation, University of Notre Dame, Sundhed og Sygdom, Det Frie Forskningsråd, Yrjö Jahnssonin Säätiö, University Hospital Southampton NHS Foundation Trust, National Institute for Health and Care Research, Dunhill Medical Trust, University of Southampton, European Commission, Healthway, Raine Medical Research Foundation, National Research Foundation, Agence Nationale de la Recherche, Institut National de la Santé et de la Recherche Médicale, Rijksuniversiteit Groningen, Danmarks Grundforskningsfond, Curtin University of Technology, Edith Cowan University, Murdoch University, University of Notre Dame Australia, ZonMw, Erasmus Universiteit Rotterdam, Fondation pour la Recherche Médicale, Suomen Kulttuurirahasto, Ministero della Salute, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Helse- og Omsorgsdepartementet, Lundbeckfonden, Juho Vainion Säätiö, Päivikki ja Sakari Sohlbergin Säätiö, Narodowym Centrum Nauki, Augustinus Fonden, Universitair Medisch Centrum Groningen, Turun Yliopisto, Lastentautien Tutkimussäätiö, Université Paris-Sud, Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail, Mutuelle Générale de l'Education Nationale, Alberta Innovates, Regione Piemonte, Egmont Fonden, Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie, Turun Yliopistollinen Keskussairaala, H. Lundbeck A/S, Terveyden ja hyvinvoinnin laitos, National Institute for Health Research Southampton Biomedical Research Centre, National Institutes of Health, Centers for Disease Control and Prevention, Medical Research Council, National Health and Medical Research Council, Instituto de Salud Carlos III, Radboud Institute for Health Sciences, Fogarty International Center, National Institute of Neurological Disorders and Stroke, National Institute of Environmental Health Sciences, FP7 Health, CHIST-ERA
Awards: G1056688042, G1077156815, G108383675, G1093531541, G12365209, G1253943784, G1277089031, G1548744498, G1602760451, G1701070820, G1707113777, G1756123706, G1795185051, ENVIRONMENTAL HEALTH RISKS IN EUROPEAN BIRTH COHORTS, G1922679944, G1930730855, G1977033855, G1994227577, G2014001655, G2047650810, G207808720, G2168789073, G2172861667, G2321720067, G2325242462, G2473961061, G2516533625, G2861369480, G2872199566, G2971175962, G2973790809, G31757887, G3193858039, G3207356259, G3330779559, G3370464334, PCBs and Otodevelopment in Eastern Slovakia, G3381566145, G3454580015, G3504454571, G3827608685, G3885663996, G393177772, Health and Environment-wide Associations based on Large population Surveys, G3998038441, G4129682460, G420763134, G4715994284, G4866507719, European Study of Cohorts for Air Pollution Effects, G4983016146, G5399140243, G5605571342, G5676064842, G5702163051, G572783573, G5940699234, G6064639284, G6104069830, G6118713856, G6291212661, G648019732, G6605167459, The Human Early-Life Exposome – novel tools for integrating early-life environmental exposures and child health across Europe, G6844935297, G6878696630, G7385418751, G7395341268, G785192854, G8030414064, G8090809263, Signalling to the cytoskeleton, G8120514506, G8233319180, G8404676689, G8538723892, G86128987, Long-term effects of early nutrition on later health, G8798930353, G8850960788, G8890927450, G897149841, Common and distinct early environmental influences on cardiometabolic and respiratory health: Mechanisms and methods, Environmental Agents as Modulators of Disease Processes
OpenAlex ID: W2908159231