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The Health4Life e-health intervention for modifying lifestyle risk behaviours of adolescents: secondary outcomes of a cluster randomised controlled trial

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posted on 2025-05-10, 20:55 authored by Siobhan O'Dean, Matthew Sunderland, Frances Kay-LambkinFrances Kay-Lambkin, Steve J. Allsop, David LubansDavid Lubans, Belinda Parmenter, Katherine Mills, Bonnie Spring, Bridie Osman, Rhiannon Ellem, Scarlett Smout, Karrah McCann, Nicola Newton, Emily Hunter, Amra Catakovic, Katrina Champion, Lauren Gardner, Maree Teesson, Cath Chapman, Louise Thornton, Tim Slade, Leanne Hides, Nyanda McBride
Objectives: To investigate the effectiveness of a school-based multiple health behaviour change e-health intervention for modifying risk factors for chronic disease (secondary outcomes). Study design: Cluster randomised controlled trial. Setting, Participants: Students (at baseline [2019]: year 7, 11-14 years old) at 71 Australian public, independent, and Catholic schools. Intervention: Health4Life: an e-health school-based multiple health behaviour change intervention for reducing increases in the six major behavioural risk factors for chronic disease: physical inactivity, poor diet, excessive recreational screen time, poor sleep, and use of alcohol and tobacco. It comprises six online video modules during health education class and a smartphone app. Main Outcome Measures: Comparison of Health4Life and usual health education with respect to their impact on changes in twelve secondary outcomes related to the six behavioural risk factors, assessed in surveys at baseline, immediately after the intervention, and 12 and 24 months after the intervention: binge drinking, discretionary food consumption risk, inadequate fruit and vegetable intake, difficulty falling asleep, and light physical activity frequency (categorical); tobacco smoking frequency, alcohol drinking frequency, alcohol-related harm, daytime sleepiness, and time spent watching television and using electronic devices (continuous). Results: A total of 6640 year 7 students completed the baseline survey (Health4Life: 3610; control: 3030); 6454 (97.2%) completed at least one follow-up survey, 5698 (85.8%) two or more follow-up surveys. Health4Life was not statistically more effective than usual school health education for influencing changes in any of the twelve outcomes over 24 months; for example: fruit intake inadequate: odds ratio [OR], 1.08 (95% confidence interval [CI], 0.57-2.05); vegetable intake inadequate: OR, 0.97 (95% CI, 0.64-1.47); increased light physical activity: OR, 1.00 (95% CI, 0.72-1.38); tobacco use frequency: relative difference, 0.03 (95% CI, -0.58 to 0.64) days per 30 days; alcohol use frequency: relative difference, -0.34 (95% CI, -1.16 to 0.49) days per 30 days; device use time: relative difference, -0.07 (95% CI, -0.29 to 0.16) hours per day. Conclusions: Health4Life was not more effective than usual school year 7 health education for modifying adolescent risk factors for chronic disease. Future e-health multiple health behaviour change intervention research should examine the timing and length of the intervention, as well as increasing the number of engagement strategies (eg, goal setting) during the intervention. Trial registration: Australian New Zealand Clinical Trials Registry: ACTRN12619000431123 (prospective).

Funding

NHMRC

APP1154507

History

Journal title

Medical Journal of Australia

Volume

220

Issue

8

Pagination

417-424

Publisher

John Wiley & Sons

Place published

Richmond, Vic.

Language

  • en, English

College/Research Centre

College of Health, Medicine and Wellbeing

School

School of Medicine and Public Health

Rights statement

© 2024 The Authors. Medical Journal of Australia published by John Wiley & Sons Australia, Ltd on behalf of AMPCo Pty Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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