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This study examined the prevalence of dietary intake (sugar\u2010sweetened beverages (SSBs); discretionary foods; fruit; vegetables), and alcohol (standard drink; binge drinking), tobacco, and e\u2010cigarette use, across adolescents of diverse socioeconomic status (SES) and geographical locations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Cross\u2010sectional data were analysed from 4445 adolescents across 71 schools in 2022 as part of the 36\u2010month follow\u2010up survey from the school\u2010based cluster randomised controlled trial,\n                      <jats:italic>Health4Life<\/jats:italic>\n                      (M\n                      <jats:sub>age<\/jats:sub>\n                      \u2009=\u200915.7\u2009years, SD\u2009=\u20090.6; 47.0% female\u2010identifying). Fourteen percent (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009571) were categorised as low SES and 86% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20093518) as mid\u2010to\u2010high SES, relative to the study sample, with 9% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009399) from regional areas. Binary logistic regressions compared differences for each outcome across SES and geographical locations, controlling for gender, psychological distress, intervention status, and school clustering.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Low SES adolescents had a lower prevalence of excessive discretionary food intake (PR\u2009=\u20090.87, 95% CI\u2009=\u20090.77\u20130.99), standard drink consumption (PR\u2009=\u20090.78; 95% CI\u2009=\u20090.65\u20130.93) and binge drinking (PR\u2009=\u20090.68; 95% CI\u2009=\u20090.50\u20130.92) compared to mid\u2010to\u2010high SES adolescents. Regional adolescents had a higher prevalence of standard drink consumption (PR\u2009=\u20091.41; 95% CI\u2009=\u20091.00\u20131.97), binge drinking (PR\u2009=\u20091.77; 95% CI\u2009=\u20091.07\u20132.93), and tobacco smoking (PR\u2009=\u20092.06; 95% CI\u2009=\u20091.18\u20133.60) compared to adolescents in major cities. Excessive discretionary food intake was less prevalent among adolescents from disadvantaged backgrounds (PR\u2009=\u20090.84, 95% CI\u2009=\u20090.76\u20130.94) compared to more advantaged adolescents.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Chronic disease risk behaviours among adolescents differ across SES and geographical locations, with regional adolescents fairing considerably worse across alcohol and tobacco use outcomes. Prevention for diet\u2010related behaviours should be improved for more advantaged adolescents, while tailored interventions to SES and geographical location separately may be required for alcohol\u2010, tobacco\u2010, and e\u2010cigarette use.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>So What?<\/jats:title>\n                    <jats:p>Public health policy and interventions targeting chronic disease risk behaviours must prioritise the needs of low SES and regional adolescents to reduce health inequities.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Trial Registration<\/jats:title>\n                    <jats:p>The Health4Life trial is registered with the Australian New Zealand Clinical Trials Registry (ACTRN12619000431123)<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/hpja.70079","type":"journal-article","created":{"date-parts":[[2025,7,16]],"date-time":"2025-07-16T02:09:44Z","timestamp":1752631784000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Who Reports Greater Chronic Disease Risk Behaviours? 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