Ontology highlight
ABSTRACT: Background
Simulated interventions using observational data have the potential to inform policy and public health interventions where randomised controlled trials are not feasible. National childhood obesity policy is one such area. Overweight and obesity are primarily caused by energy-rich and low-nutrient diets that contribute to a positive net energy imbalance. Using data from the Avon Longitudinal Study of Parents and Children (ALSPAC), we investigated whether causal modelling techniques could be applied to simulate the potential impact of policy-relevant calorie-reduction interventions on population prevalence and inequalities in obesity in childhood.Methods
Predicted probabilities of obesity at age 11 (UK90 cut offs) were estimated from logistic marginal structural mo
SUBMITTER: Russell SJ
PROVIDER: S-EPMC8803143 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature