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Validity of Scottish predictors of child obesity (age 12) for risk screening in mid-childhood: a secondary analysis of prospective cohort study data—with sensitivity analyses for settings without various routinely collected predictor variables

Medicine and Health

Validity of Scottish predictors of child obesity (age 12) for risk screening in mid-childhood: a secondary analysis of prospective cohort study data—with sensitivity analyses for settings without various routinely collected predictor variables

G. Carrillo-balam, L. Doi, et al.

This groundbreaking study conducts an in-depth analysis of the Growing Up in Scotland cohort to unveil key predictors of obesity at age 12, beginning at school entry. Utilizing advanced multivariable logistic regression, the research identifies crucial factors impacting childhood obesity, shedding light on the complexities of implementation within the Scottish healthcare system. The study was led by Gabriela Carrillo-Balam and her esteemed colleagues.

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Playback language: English
Abstract
This study analyzed the Growing Up in Scotland cohort to identify predictors of obesity at age 12, present at school entry (age 5-6). Using multivariable logistic regression and bootstrapping, two models were developed: an "Optimum Data" model (including maternal BMI, indoor smoking, equivalized income, child's sex, child's BMI at age 5-6, and ACEs) and a "Scottish Data" model (excluding income and ACEs, and including SIMD and age of solid food introduction). Both models showed reasonable predictive validity, but the high referral burden suggests challenges for implementation within the current Scottish healthcare system.
Publisher
International Journal of Obesity
Published On
Jun 03, 2022
Authors
Gabriela Carrillo-Balam, Lawrence Doi, Louise Marryat, Andrew James Williams, Paul Bradshaw, John Frank
Tags
obesity
childhood health
predictors
GUS cohort
Scottish healthcare

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