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Investigating socioeconomic inequalities in BMI growth rates during childhood and adolescence
Author(s) -
Killedar Anagha,
Lung Thomas,
Hayes Alison
Publication year - 2022
Publication title -
obesity science and practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 14
ISSN - 2055-2238
DOI - 10.1002/osp4.549
Subject(s) - medicine , socioeconomic status , inequality , demography , pediatrics , environmental health , population , mathematical analysis , mathematics , sociology
Background Many countries report socioeconomic inequalities in childhood obesity, but when they develop is not well‐characterised. Studies rarely isolate BMI growth rates from overall BMI, perhaps overlooking an important precursor to the observed inequalities in obesity. The objective of this study was to determine the age at which inequalities in BMI growth rates develop in children and whether they are similar across the BMI spectrum. Methods Using the Longitudinal Study of Australian Children ( n  = 9024), a cohort study, we measured socioeconomic inequalities in annual BMI growth from age 2 to 17 years by age, sex and weight status. We fit a linear model using generalised estimating equations (GEE) to estimate simultaneously the effects of age and weight status on inequalities in BMI growth rate. Results The slope (SII) and relative (RII) indexes of inequality for annual BMI growth were greatest in middle childhood (age 4–11 years) (SII 0.25, RII 1.83 (boys) 1.78 (girls)) and were moderate during adolescence (age 10–17 years) (SII 0.11, RII 1.16 [boys] 1.15 [girls]). In early childhood, there was little evidence of inequality in annual BMI growth except in children with obesity. In middle childhood and adolescence, inequalities were greater at higher weight status. The GEE indicated that both weight status ( P  < 0.001) and age period ( P  < 0.001) affected inequalities in BMI growth rates. Conclusions Inequalities in annual BMI growth were strongest in middle childhood, and widest in children at the upper end of the BMI spectrum. This could signify a key age bracket to intervene clinically and at a public health level and improve inequalities in childhood obesity.

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