Lisa M Bodnar1, Jennifer A Hutcheon, Sara M Parisi, Sarah J Pugh, Barbara Abrams. 1. Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA; Department of Obstetrics, Gynecology, and Reproductive Sciences, School of Medicine, University of Pittsburgh, Pittsburgh, PA; Magee-Womens Research Institute, Pittsburgh, PA.
Abstract
BACKGROUND: Conventional measures of gestational weight gain (GWG) are correlated with pregnancy duration, and may induce bias to studies of GWG and perinatal outcomes. A maternal weight-gain-for-gestational-age z-score chart is a new tool that allows total GWG to be classified as a standardised z-score that is independent of gestational duration. Our objective was to compare associations with perinatal outcomes when GWG was assessed using gestational age-standardised z-scores and conventional GWG measures. METHODS: We studied normal-weight (n=522 120) and overweight (n=237 923) women who delivered liveborn, singleton infants in Pennsylvania, 2003-11. GWG was expressed using gestational age-standardised z-scores and three traditional measures: total GWG (kg), rate of GWG (kg per week of gestation), and the GWG adequacy ratio (observed GWG/GWG recommended by the Institute of Medicine). Log-binomial regression models were used to assess associations between GWG and preterm birth, and small- and large-for-gestational-age births, while adjusting for race/ethnicity, education, smoking, and other confounders. RESULTS: The association between GWG z-score and preterm birth was approximately U-shaped. The risk of preterm birth associated with weight gain <10th percentile of each measure was substantially overestimated when GWG was classified using total kilogram and was moderately overestimated using rate of GWG or GWG adequacy ratio. All GWG measures had similar associations with small- or large-for-gestational-age birth. CONCLUSIONS: Our findings suggest that studies of gestational age-dependent outcomes misspecify associations if total GWG, rate of GWG, or GWG adequacy ratio are used. The potential for gestational age-related bias can be eliminated by using z-score charts to classify total GWG.
BACKGROUND: Conventional measures of gestational weight gain (GWG) are correlated with pregnancy duration, and may induce bias to studies of GWG and perinatal outcomes. A maternal weight-gain-for-gestational-age z-score chart is a new tool that allows total GWG to be classified as a standardised z-score that is independent of gestational duration. Our objective was to compare associations with perinatal outcomes when GWG was assessed using gestational age-standardised z-scores and conventional GWG measures. METHODS: We studied normal-weight (n=522 120) and overweight (n=237 923) women who delivered liveborn, singleton infants in Pennsylvania, 2003-11. GWG was expressed using gestational age-standardised z-scores and three traditional measures: total GWG (kg), rate of GWG (kg per week of gestation), and the GWG adequacy ratio (observed GWG/GWG recommended by the Institute of Medicine). Log-binomial regression models were used to assess associations between GWG and preterm birth, and small- and large-for-gestational-age births, while adjusting for race/ethnicity, education, smoking, and other confounders. RESULTS: The association between GWG z-score and preterm birth was approximately U-shaped. The risk of preterm birth associated with weight gain <10th percentile of each measure was substantially overestimated when GWG was classified using total kilogram and was moderately overestimated using rate of GWG or GWG adequacy ratio. All GWG measures had similar associations with small- or large-for-gestational-age birth. CONCLUSIONS: Our findings suggest that studies of gestational age-dependent outcomes misspecify associations if total GWG, rate of GWG, or GWG adequacy ratio are used. The potential for gestational age-related bias can be eliminated by using z-score charts to classify total GWG.
Authors: Lisa M Bodnar; Jennifer A Hutcheon; Robert W Platt; Katherine P Himes; Hyagriv N Simhan; Barbara Abrams Journal: Am J Epidemiol Date: 2011-06-01 Impact factor: 4.897
Authors: Lisa M Bodnar; Anna Maria Siega-Riz; Hyagriv N Simhan; Katherine P Himes; Barbara Abrams Journal: Am J Clin Nutr Date: 2010-03-31 Impact factor: 7.045
Authors: Kathleen M Rasmussen; Barbara Abrams; Lisa M Bodnar; Nancy F Butte; Patrick M Catalano; Anna Maria Siega-Riz Journal: Obstet Gynecol Date: 2010-11 Impact factor: 7.661
Authors: K S Joseph; John Fahey; Robert W Platt; Robert M Liston; Shoo K Lee; Reg Sauve; Shiliang Liu; Alexander C Allen; Michael S Kramer Journal: Am J Epidemiol Date: 2009-01-06 Impact factor: 4.897
Authors: Stephanie A Leonard; Lucia C Petito; David H Rehkopf; Lorrene D Ritchie; Barbara Abrams Journal: Child Obes Date: 2017-04-25 Impact factor: 2.992
Authors: Anne Marie Darling; Martha M Werler; David E Cantonwine; Wafaie W Fawzi; Thomas F McElrath Journal: Epidemiology Date: 2019-09 Impact factor: 4.822
Authors: Kyle E Freese; Katherine P Himes; Jennifer A Hutcheon; Sara M Parisi; Maria M Brooks; Kathleen McTigue; Lisa M Bodnar Journal: Ann Epidemiol Date: 2020-06-26 Impact factor: 3.797
Authors: Stephanie A Leonard; Lucia C Petito; Olof Stephansson; Jennifer A Hutcheon; Lisa M Bodnar; Mahasin S Mujahid; Yvonne Cheng; Barbara Abrams Journal: Ann Epidemiol Date: 2017-05-10 Impact factor: 3.797
Authors: Stephanie A Leonard; Jennifer A Hutcheon; Lisa M Bodnar; Lucia C Petito; Barbara Abrams Journal: Paediatr Perinat Epidemiol Date: 2017-12-27 Impact factor: 3.980
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: Lisa M Bodnar; Lara L Siminerio; Katherine P Himes; Jennifer A Hutcheon; Timothy L Lash; Sara M Parisi; Barbara Abrams Journal: Obesity (Silver Spring) Date: 2015-11-17 Impact factor: 5.002
Authors: Stephanie A Leonard; Barbara Abrams; Elliott K Main; Deirdre J Lyell; Suzan L Carmichael Journal: Am J Clin Nutr Date: 2020-04-01 Impact factor: 7.045
Authors: Yamini K Ranchod; Irene E Headen; Lucia C Petito; Julianna K Deardorff; David H Rehkopf; Barbara F Abrams Journal: Am J Prev Med Date: 2015-11-07 Impact factor: 5.043