Jennifer A Hutcheon1, Robert W Platt2, Barbara Abrams3, Betty J Braxter4, Cara L Eckhardt5, Katherine P Himes6, Lisa M Bodnar6,7. 1. Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, Canada. 2. Departments of Pediatrics and of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada. 3. Division of Epidemiology, School of Public Health, University of California at Berkeley, Berkeley, CA. 4. School of Nursing, University of Pittsburgh, Pittsburgh, PA. 5. Oregon Health Sciences University-Portland State University School of Public Health, Portland, OR. 6. Department of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, PA. 7. Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA.
Abstract
BACKGROUND: Twin pregnancies are at increased risk for adverse outcomes and are associated with greater gestational weight gain compared to singleton pregnancies. Studies that disentangle the relationship between gestational duration, weight gain and adverse outcomes are needed to inform weight gain guidelines. We created charts of the mean, standard deviation and select percentiles of maternal weight gain-for-gestational age in twin pregnancies and compared them to singleton curves. METHODS: We abstracted serial prenatal weight measurements of women delivering uncomplicated twin pregnancies at Magee-Womens Hospital (Pittsburgh, PA, 1998-2013) and merged them with the hospital's perinatal database. Hierarchical linear regression was used to express pregnancy weight gain as a smoothed function of gestational age according to pre-pregnancy BMI category. Charts of week- and day-specific values for the mean, standard deviation, and percentiles of maternal weight gain were created. RESULTS: Prenatal weight measurements (median: 11 [interquartile range: 9, 13] per woman) were available for 1109 women (573 normal weight, 287 overweight, and 249 obese). The slope of weight gain was most pronounced in normal weight women and flattened with increasing pre-pregnancy BMI (e.g. 50th percentiles of 6.8, 5.7, and 3.6 kg at 20 weeks and 19.8, 18.1, and 14.4 at 37 weeks in normal weight, overweight, and obese women, respectively). Weight gain patterns in twins diverged from singletons after 17-19 weeks. CONCLUSIONS: Our charts provide a tool for the classification of maternal weight gain in twin pregnancies. Future work is needed to identify the range of weight gain associated with optimal pregnancy health outcomes.
BACKGROUND: Twin pregnancies are at increased risk for adverse outcomes and are associated with greater gestational weight gain compared to singleton pregnancies. Studies that disentangle the relationship between gestational duration, weight gain and adverse outcomes are needed to inform weight gain guidelines. We created charts of the mean, standard deviation and select percentiles of maternal weight gain-for-gestational age in twin pregnancies and compared them to singleton curves. METHODS: We abstracted serial prenatal weight measurements of women delivering uncomplicated twin pregnancies at Magee-Womens Hospital (Pittsburgh, PA, 1998-2013) and merged them with the hospital's perinatal database. Hierarchical linear regression was used to express pregnancy weight gain as a smoothed function of gestational age according to pre-pregnancy BMI category. Charts of week- and day-specific values for the mean, standard deviation, and percentiles of maternal weight gain were created. RESULTS: Prenatal weight measurements (median: 11 [interquartile range: 9, 13] per woman) were available for 1109 women (573 normal weight, 287 overweight, and 249 obese). The slope of weight gain was most pronounced in normal weight women and flattened with increasing pre-pregnancy BMI (e.g. 50th percentiles of 6.8, 5.7, and 3.6 kg at 20 weeks and 19.8, 18.1, and 14.4 at 37 weeks in normal weight, overweight, and obesewomen, respectively). Weight gain patterns in twins diverged from singletons after 17-19 weeks. CONCLUSIONS: Our charts provide a tool for the classification of maternal weight gain in twin pregnancies. Future work is needed to identify the range of weight gain associated with optimal pregnancy health outcomes.
Authors: Jennifer A Hutcheon; Robert W Platt; Barbara Abrams; Katherine P Himes; Hyagriv N Simhan; Lisa M Bodnar Journal: Am J Clin Nutr Date: 2013-03-06 Impact factor: 7.045
Authors: Lisa M Bodnar; Barbara Abrams; Marnie Bertolet; Alison D Gernand; Sara M Parisi; Katherine P Himes; Timothy L Lash Journal: Paediatr Perinat Epidemiol Date: 2014-03-27 Impact factor: 3.980
Authors: Jennifer A Hutcheon; Robert W Platt; Barbara Abrams; Katherine P Himes; Hyagriv N Simhan; Lisa M Bodnar Journal: Obesity (Silver Spring) Date: 2015-03 Impact factor: 5.002
Authors: Germaine M Buck Louis; Jagteshwar Grewal; Paul S Albert; Anthony Sciscione; Deborah A Wing; William A Grobman; Roger B Newman; Ronald Wapner; Mary E D'Alton; Daniel Skupski; Michael P Nageotte; Angela C Ranzini; John Owen; Edward K Chien; Sabrina Craigo; Mary L Hediger; Sungduk Kim; Cuilin Zhang; Katherine L Grantz Journal: Am J Obstet Gynecol Date: 2015-10 Impact factor: 8.661
Authors: Leila Cheikh Ismail; Deborah C Bishop; Ruyan Pang; Eric O Ohuma; Gilberto Kac; Barbara Abrams; Kathleen Rasmussen; Fernando C Barros; Jane E Hirst; Ann Lambert; Aris T Papageorghiou; William Stones; Yasmin A Jaffer; Douglas G Altman; J Alison Noble; Maria Rosa Giolito; Michael G Gravett; Manorama Purwar; Stephen H Kennedy; Zulfiqar A Bhutta; José Villar Journal: BMJ Date: 2016-02-29
Authors: Lisa M Bodnar; Katherine P Himes; Barbara Abrams; Timothy L Lash; Sara M Parisi; Cara L Eckhardt; Betty J Braxter; Sarah Minion; Jennifer A Hutcheon Journal: Obstet Gynecol Date: 2019-11 Impact factor: 7.661
Authors: Michelle C Dimitris; Jay S Kaufman; Lisa M Bodnar; Robert W Platt; Katherine P Himes; Jennifer A Hutcheon Journal: Epidemiology Date: 2022-03-01 Impact factor: 4.822
Authors: Michelle C Dimitris; Jennifer A Hutcheon; Robert W Platt; Katherine P Himes; Lisa M Bodnar; Jay S Kaufman Journal: Ann Epidemiol Date: 2021-04-22 Impact factor: 6.996
Authors: Kara M Whitaker; Meghan Baruth; Rebecca A Schlaff; Christopher P Connolly; Jihong Liu; Sara Wilcox Journal: BMC Pregnancy Childbirth Date: 2020-07-23 Impact factor: 3.007
Authors: Lisa M Bodnar; Barbara Abrams; Hyagriv N Simhan; Christina M Scifres; Robert M Silver; Samuel Parry; Brian A Crosland; Judith Chung; Katherine P Himes Journal: Paediatr Perinat Epidemiol Date: 2020-11-06 Impact factor: 3.980
Authors: Cassandra M Pickens; Carol J Hogue; Penelope P Howards; Michael R Kramer; Martina L Badell; Donald J Dudley; Robert M Silver; Robert L Goldenberg; Halit Pinar; George R Saade; Michael W Varner; Barbara J Stoll Journal: BMC Pregnancy Childbirth Date: 2019-11-29 Impact factor: 3.007