TY - JOUR
T1 - The Impact of Excluding Adverse Neonatal Outcomes on the Creation of Gestational Weight Gain Charts Among Women from Low- and Middle-income Countries with Normal and Overweight BMI
AU - members of the GWG Pooling Project Consortium
AU - Rangel Bousquet Carrilho, Thais
AU - Wang, Dongqing
AU - Hutcheon, Jennifer A.
AU - Wang, Molin
AU - Fawzi, Wafaie W.
AU - Kac, Gilberto
AU - Accrombessi, Manfred
AU - Adu-Afarwuah, Seth
AU - Alves, João Guilherme
AU - Leal de Araújo, Carla Adriane
AU - Arifeen, Shams
AU - Artes, Rinaldo
AU - Ashorn, Per
AU - Ashorn, Ulla
AU - Assefa, Nega
AU - Ayoola, Omolola Olukemi
AU - Azizi, Fereidoun
AU - Bawah, Ahmed Tijani
AU - Behboudi-Gandevani, Samira
AU - Berhane, Yemane
AU - Bernstein, Robin
AU - Bhutta, Zulfiqar
AU - Briand, Valérie
AU - Calvo, Elvira Beatriz
AU - Cardoso, Marly Augusto
AU - Cheng, Yue
AU - Chico-Barba, Gabriela
AU - Clayton, Peter Ellis
AU - Collins, Shalean M.
AU - Costello, Anthony M.
AU - Cruickshank, John Kennedy
AU - Devakumar, Delanjathan
AU - Dewey, Kathryn G.
AU - Dwarkanath, Pratibha
AU - Estrada-Gutierrez, Guadalupe
AU - Fair, Frankie J.
AU - Farias, Dayana Rodrigues
AU - Friis, Henrik
AU - Ghosh, Shibani
AU - Girard, Amy Webb
AU - Gomo, Exnevia
AU - Gondwe, Austrida
AU - Hallamaa, Lotta
AU - Hambidge, K. Michael
AU - Hussein, Hawawu
AU - Huybregts, Lieven
AU - Iqbal, Romaina
AU - Katz, Joanne
AU - Khatry, Subarna K.
AU - Soofi, Sajid
N1 - Publisher Copyright:
© 2024 American Society for Nutrition
PY - 2024/6
Y1 - 2024/6
N2 - Background: Existing gestational weight gain (GWG) charts vary considerably in their choice of exclusion/inclusion criteria, and it is unclear to what extent these criteria create differences in the charts’ percentile values. Objectives: We aimed to establish the impact of including/excluding pregnancies with adverse neonatal outcomes when constructing GWG charts. Methods: This is an individual participant data analysis from 31 studies from low- and middle-income countries. We created a dataset that included all participants and a dataset restricted to those with no adverse neonatal outcomes: preterm < 37 wk, small or large for gestational age, low birth weight < 2500 g, or macrosomia > 4000 g. Quantile regression models were used to create GWG curves from 9 to 40 wk, stratified by prepregnancy BMI, in each dataset. Results: The dataset without the exclusion criteria applied included 14,685 individuals with normal weight and 4831 with overweight. After removing adverse neonatal outcomes, 10,479 individuals with normal weight and 3466 individuals with overweight remained. GWG distributions at 13, 27, and 40 wk were virtually identical between the datasets with and without the exclusion criteria, except at 40 wk for normal weight and 27 wk for overweight. For the 10th and 90th percentiles, the differences between the estimated GWG were larger for overweight (∼1.5 kg) compared with normal weight (<1 kg). Removal of adverse neonatal outcomes had minimal impact on GWG trajectories of normal weight. For overweight, the percentiles estimated in the dataset without the criteria were slightly higher than those in the dataset with the criteria applied. Nevertheless, differences were <1 kg and virtually nonexistent at the end of pregnancy. Conclusions: Removing pregnancies with adverse neonatal outcomes has little or no influence on the GWG trajectories of individuals with normal and overweight.
AB - Background: Existing gestational weight gain (GWG) charts vary considerably in their choice of exclusion/inclusion criteria, and it is unclear to what extent these criteria create differences in the charts’ percentile values. Objectives: We aimed to establish the impact of including/excluding pregnancies with adverse neonatal outcomes when constructing GWG charts. Methods: This is an individual participant data analysis from 31 studies from low- and middle-income countries. We created a dataset that included all participants and a dataset restricted to those with no adverse neonatal outcomes: preterm < 37 wk, small or large for gestational age, low birth weight < 2500 g, or macrosomia > 4000 g. Quantile regression models were used to create GWG curves from 9 to 40 wk, stratified by prepregnancy BMI, in each dataset. Results: The dataset without the exclusion criteria applied included 14,685 individuals with normal weight and 4831 with overweight. After removing adverse neonatal outcomes, 10,479 individuals with normal weight and 3466 individuals with overweight remained. GWG distributions at 13, 27, and 40 wk were virtually identical between the datasets with and without the exclusion criteria, except at 40 wk for normal weight and 27 wk for overweight. For the 10th and 90th percentiles, the differences between the estimated GWG were larger for overweight (∼1.5 kg) compared with normal weight (<1 kg). Removal of adverse neonatal outcomes had minimal impact on GWG trajectories of normal weight. For overweight, the percentiles estimated in the dataset without the criteria were slightly higher than those in the dataset with the criteria applied. Nevertheless, differences were <1 kg and virtually nonexistent at the end of pregnancy. Conclusions: Removing pregnancies with adverse neonatal outcomes has little or no influence on the GWG trajectories of individuals with normal and overweight.
KW - adverse neonatal outcomes
KW - gestational weight gain
KW - reference
KW - standards
UR - http://www.scopus.com/inward/record.url?scp=85190540150&partnerID=8YFLogxK
U2 - 10.1016/j.ajcnut.2024.03.016
DO - 10.1016/j.ajcnut.2024.03.016
M3 - Article
C2 - 38522618
AN - SCOPUS:85190540150
SN - 0002-9165
VL - 119
SP - 1465
EP - 1474
JO - American Journal of Clinical Nutrition
JF - American Journal of Clinical Nutrition
IS - 6
ER -