biostudies-literatureEgan LPaul Ramsay FoundationNarodowe Centrum NaukiKongu Engineering CollegeNational Health and Medical Research Council102855https://www.ebi.ac.uk/biostudies/studies/S-EPMC11378973biostudies-literatureUnknown46<h4>Objective</h4>This study evaluated the moderating effects of socioeconomic status (SES) and geographical location on the efficacy of an eHealth school-based multiple health behaviour change intervention - <i>Health4Life</i> - in targeting alcohol and tobacco use, dietary intake, knowledge, behavioural intentions, and psychological distress over 24-months.<h4>Methods</h4>Data from the <i>Health4Life</i> cluster-randomised controlled trial conducted from 2019 to 2021 in 71 Australian secondary schools were analysed (N=6639; baseline age 11-14yrs). Schools were from metropolitan (89%) and regional (11%) areas, and participants' SES was classified as low (15%), mid (37%), and high (48%) relative to the study population. Primary outcomes included alcohol and tobacco use, and a composite indPreventive medicine reportsModerating effects of socioeconomic status and geographical location on the Health4Life school-based intervention.PMC11378973APP1166377APP1120641Newton NCChampion KEEgan LGardner LAO'Dean SfalseModerating effects of socioeconomic status and geographical location on the Health4Life school-based intervention.<h4>Objective</h4>This study evaluated the moderating effects of socioeconomic status (SES) and geographical location on the efficacy of an eHealth school-based multiple health behaviour change intervention - <i>Health4Life</i> - in targeting alcohol and tobacco use, dietary intake, knowledge, behavioural intentions, and psychological distress over 24-months.<h4>Methods</h4>Data from the <i>Health4Life</i> cluster-randomised controlled trial conducted from 2019 to 2021 in 71 Australian secondary schools were analysed (N=6639; baseline age 11-14yrs). Schools were from metropolitan (89%) and regional (11%) areas, and participants' SES was classified as low (15%), mid (37%), and high (48%) relative to the study population. Primary outcomes included alcohol and tobacco use, and a composite ind2024-01-01T00:00:00Z2024 Oct2025-04-04T01:01:33.977Z2025-04-04T01:01:33.977ZS-EPMC113789733924720410.1016/j.pmedr.2024.102855