Rapid infant weight gain or point-in-time weight status: Which is the best predictor of later obesity and body composition?


Journal

Obesity (Silver Spring, Md.)
ISSN: 1930-739X
Titre abrégé: Obesity (Silver Spring)
Pays: United States
ID NLM: 101264860

Informations de publication

Date de publication:
10 2023
Historique:
revised: 29 05 2023
received: 07 03 2023
accepted: 13 06 2023
medline: 20 9 2023
pubmed: 25 8 2023
entrez: 25 8 2023
Statut: ppublish

Résumé

The aim of this study was to determine which growth indicator (weight, weight-for-length, BMI) and time frame (6- or 12-month intervals between 0 and 24 months) of rapid infant weight gain (RIWG) best predicted obesity risk and body composition at 11 years of age. RIWG (increase ≥0.67 z scores between two time points) was calculated from weight and length/height at birth, 0.5, 1, 1.5, and 2 years. The predictive value of each measure and time frame was calculated in relation to obesity (BMI ≥95th percentile) and body fat (fat mass index [FMI], dual-energy X-ray absorptiometry scan) at 11 years. The sensitivity (1.5% to 62.1%) and positive predictive value (12.5% to 33.3%) of RIWG to predict obesity varied considerably. Having obesity at any time point appeared a stronger risk factor than any indicator of RIWG for obesity at 11 years. Obesity at any age during infancy consistently predicted a greater FMI of around 1.1 to 1.5 kg/m A simple measure of obesity status at a single time point between 6 and 24 months of age appeared a stronger risk factor for later obesity and FMI than RIWG assessed by any indicator, over any time frame.

Identifiants

pubmed: 37621225
doi: 10.1002/oby.23861
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2583-2592

Informations de copyright

© 2023 The Authors. Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society.

Références

Ong KK, Loos RJF. Rapid infancy weight gain and subsequent obesity: systematic reviews and hopeful suggestions. Acta Paediatr. 2006;95:904-908.
Druet C, Stettler N, Sharp S, et al. Prediction of childhood obesity by infancy weight gain: an individual-level meta-analysis. Paediatr Perinatal Epidemiol. 2012;26:19-26.
Zheng M, Lamb KE, Grimes C, et al. Rapid weight gain during infancy and subsequent adiposity: a systematic review and meta-analysis of the evidence. Obes Rev. 2018;19:321-332.
Eckhardt CL, Eng H, Dills JL, Wisner KL. The prevalence of rapid weight gain in infancy differs by the growth reference and age interval used for evaluation. Ann Hum Biol. 2016;43:85-90.
Fangupo L, Daniels L, Taylor R, et al. The care of infants with rapid weight gain: should we be doing more? J Paediatr Child Health. 2022;58:2143-2149. doi:10.1111/jpc.16247
Woo JG, Sucharew H, Su W, Khoury PR, Daniels SR, Kalkwarf HJ. Infant weight and length growth trajectories modeled using superimposition by translation and rotation are differentially associated with body composition componentns at 3 and 7 years of age. J Pediatr. 2018;196:182-188.
Taveras EM, Rifas-Shiman SL, Sherry B, et al. Crossing growth percentiles in infancy and risk of obesity in childhood. Arch Pediatr Adolesc Med. 2011;165:993-998.
Odegaard AO, Choh AC, Nahhas RW, Towne B, Czerwinski SA, Demerath EW. Systematic examination of infant size and growth metrics as risk factors for overweight in young adulthood. PLoS One. 2013;8:e66994. doi:10.1371/journal.pone.0066994
de Beer M, Vrijkotte TGM, van Eijsden M, Osmond C, Gemke RJBJ. Associations of infant feeding and timing of linear growth and relative weight gain during early life with childhood body composition. Int J Obes. 2015;39:586-592.
Rotevatn TA, Melendez-Torres GJ, Overgaard C, et al. Understanding rapid infant weight gain prevention: a systematic review of quantitative and qualitative evidence. Eur J Public Health. 2019;30:703-712.
Bell KA, Wagner CL, Perng W, Feldman HA, Shypailo RJ, Belfort MB. Validity of body mass index as a measure of adiposity in infancy. J Pediatr. 2018;196:168-174.
Wright CM, Cole TJ, Fewtrell M, Williams JE, Eaton S, Wells JC. Body composition data show that high BMI centriles overdiagnose obesity in children aged under 6 years. Am J Clin Nutr. 2021;116:122-131.
Ong KK, Cheng TS, Olga L, et al. Which infancy growth parameters are associated with later adiposity? The Cambridge Baby Growth Study. Ann Hum Biol. 2020;47:142-149.
de Fluiter KS, van Beijsterveldt IALP, Breij LM, Acton D, Hokkem-Koelega ACS. Association between fat mass in early life and later fat mass trajectories. JAMA Pediatr. 2020;174:1141-1148.
Taylor BJ, Heath A-L, Galland BC, et al. Prevention of Overweight in Infancy (POI.Nz) study: a randomised controlled trial of sleep, food and activity interventions for preventing overweight from birth. BMC Public Health. 2011;11:942. doi:10.1186/1471-2458-11-942
Taylor BJ, Gray AR, Galland BC, et al. Targeting sleep, food, and activity in infants for obesity prevention: an RCT. Pediatrics. 2017;139:e20162037. doi:10.1542/peds.2016-2037
Taylor RW, Gray AR, Heath A-LM, et al. Sleep, nutrition and physical activity interventions to prevent obesity in infancy: follow-up of the Prevention of Overweight in Infancy (POI) randomized controlled trial at ages 3.5 and 5 y. Am J Clin Nutr. 2018;108:228-236.
Fangupo LJ, Heath A-L, Williams SM, et al. Impact of an early-life intervention on the nutrition behaviors of 2-year old children: a randomized controlled trial. Am J Clin Nutr. 2015;102:704-712.
Moir C, Meredith-Jones K, Taylor BJ, et al. Early intervention to encourage physical activity in infants and toddlers: an RCT. Med Sci Sports Exerc. 2016;48:2246-2453.
Taylor RW, Heath A-LM, Galland BC, et al. Three-year follow-up of a randomised controlled trial to reduce excessive weight gain in the first two years of life: protocol for the POI follow-up study. BMC Public Health. 2016;16:771. doi:10.1186/s12889-016-3383-4
Adebowale TO, Taylor BJ, Gray AR, et al. Long-term follow-up of a randomised controlled trial to reduce excessive weight gain in infancy: protocol for the POI 11-year-old follow-up study. JMIR Res Protoc. 2020;9:e24968. doi:10.2196/24968
Atkinson J, Salmond C, Crampton P. NZDep2013 Index of Deprivation. Department of Public Health; 2014:1-64.
de Onis M, Onyango AW, Van den Broeck J, Chumlea WC, Martorell R. Measurement and standardization protocols for anthropometry used in the construction of a new international growth reference. Food Nutr Bull. 2004;25(1 suppl):S27-S36.
World Health Organization. WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr Suppl. 2006;450:76-85.
de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660-667.
Meredith-Jones K, Haszard JJ, Moir C, et al. Physical activity and inactivity trajectories associated with body composition in preschoolers. Int J Obes. 2018;42:1621-1630.
Johnson W, Bann D, Hardy R. Infant weight gain and adolescent body mass index: comparison across two British cohorts born in 1946 and 2001. Arch Dis Child. 2018;103:974-980.
Lucas K, James P, Choh AC, et al. The positive association of infant weight gain with adulthood body mass index has strengthened over time in the Fels Longitudinal Study. Pediatr Obes. 2018;13:476-484.
Woo JG, Daniels SR. Assessment of body mass index in infancy: is it time to revise our guidelines. J Pediatr. 2019;204:10-11.
Rothman KJ, Gallacher JEJ, Hatch EE. Why representativeness should be avoided. Int J Epidemiol. 2013;42:1012-1014.
Kwon S, Janz KF, Letuchy EM, Burns TL, Levy SM. Association between body mass index percentile trajectories in infancy and adiposity in childhood and early adulthood. Obesity. 2017;25:166-171.
Huang W, Meir AY, Olapeju B, et al. Defining longitudinal trajectory of body mass index percentile and predicting childhood obesity: methodologies and findings in the Boston Birth Cohort. Precision Nutr. 2023;2:e00037. doi:10.1097/PN9.0000000000000037

Auteurs

Rachael W Taylor (RW)

Department of Medicine, University of Otago, Dunedin, New Zealand.

Jillian J Haszard (JJ)

Biostatistics Centre, University of Otago, Dunedin, New Zealand.

Kim A Meredith-Jones (KA)

Department of Medicine, University of Otago, Dunedin, New Zealand.

Anne-Louise M Heath (AM)

Department of Human Nutrition, University of Otago, Dunedin, New Zealand.

Barbara C Galland (BC)

Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand.

Andrew R Gray (AR)

Biostatistics Centre, University of Otago, Dunedin, New Zealand.

Sarah Fortune (S)

Department of Psychological Medicine, University of Otago, Dunedin, New Zealand.

Trudy Sullivan (T)

Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand.

Taiwo Adebowale (T)

Department of Medicine, University of Otago, Dunedin, New Zealand.

Barry J Taylor (BJ)

Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand.

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