Australian Bureau of Statistics. (2011). Measures of Socioeconomic Status, (Catalogue no. 1244.0.55.001). Canberra: ABS; Retrieved October 11, 2021, from https://www.ausstats.abs.gov.au/ausstats/subscriber.nsf/0/367D3800605DB064CA2578B60013445C/$File/1244055001_2011.pdf
Australian Institute of Health and Welfare. (2018). Nutrition across the life stages. Cat. no. PHE 227. Canberra: AIHW Retrieved October 11, 2021, from https://www.aihw.gov.au/getmedia/fc5ad42e-08f5-4f9a-9ca4-723cacaa510d/aihw-phe-227.pdf.aspx?inline=true
Australian Institute of Health and Welfare. (2019a). Australian Burden of Disease Study: Impact and causes of illness and death in Australia 2015. Australian Burden of Disease series no. 19. Cat. no. BOD 22. Canberra: AIHW Retrieved October 11, 2021, from https://www.aihw.gov.au/getmedia/c076f42f-61ea-4348-9c0a-d996353e838f/aihw-bod-22.pdf.aspx?inline=true
Australian Institute of Health and Welfare. (2019b). Poor diet. Cat. no: PHE 249. Canberra: AIHW Retrieved October 11, 2021, from https://www.aihw.gov.au/getmedia/f30d2eb2-b6e7-43cc-aba4-74802ad78f6a/Poor-diet.pdf.aspx?inline=true
Australian Institute of Health and Welfare. (2019c). Rural & remote health. Cat. no. PHE 255. Canberra: AIHW Retrieved April 01, 2022, from https://www.aihw.gov.au/getmedia/838d92d0-6d34-4821-b5da-39e4a47a3d80/Rural-remote-health.pdf.aspx?inline=true
Australian Institute of Health and Welfare. (2020a). Australia's children. Cat. no. CWS 69. Canberra: AIHW Retrieved October 11, 2021, from https://www.aihw.gov.au/getmedia/6af928d6-692e-4449-b915-cf2ca946982f/aihw-cws-69-print-report.pdf.aspx?inline=true
Australian Institute of Health and Welfare. (2020b). Australia’s health snapshots 2020b. Canberra: AIHW Retrieved October 11, 2021, from https://www.aihw.gov.au/reports-data/australias-health/australias-health-snapshots
Australian Institute of Health and Welfare. (2022). Rural and remote health. Canberra: AIHW Retrieved March 13, 2023, from https://www.aihw.gov.au/reports/rural-remote-australians/rural-and-remote-health
Banks, E., Yazidjoglou, A., Brown, S., Nguyen, M., Melonie Martin, Beckwith, K., Daluwatta, A., Campbell, S., & Joshy, G. (2022). Electronic cigarettes and health outcomes: systematic review of global evidence. Retrieved August 26, 2022, from https://openresearch-repository.anu.edu.au/bitstream/1885/262914/1/Electronic%20cigarettes%20health%20outcomes%20review_2022_WCAG.pdf
Bleich, S. N., & Vercammen, K. A. (2018). The negative impact of sugar-sweetened beverages on children’s health: An update of the literature. BMC Obesity, 5, 6. https://doi.org/10.1186/s40608-017-0178-9
Article PubMed PubMed Central Google Scholar
Chai, L. K., Collins, C. E., May, C., Ashman, A., Holder, C., Brown, L. J., & Burrows, T. L. (2021). Feasibility and efficacy of a web-based family telehealth nutrition intervention to improve child weight status and dietary intake: A pilot randomised controlled trial. Journal of Telemedicine and Telecare, 27(3), 146–158. https://doi.org/10.1177/1357633X19865855
Champion, K. E., Newton, N. C., Barrett, E. L., & Teesson, M. (2013). A systematic review of school-based alcohol and other drug prevention programs facilitated by computers or the Internet. Drug and Alcohol Review, 32(2), 115–123. https://doi.org/10.1111/j.1465-3362.2012.00517.x
Champion, K. E., Parmenter, B., McGowan, C., Spring, B., Wafford, Q. E., Gardner, L. A., Thornton, L., McBride, N., Barrett, E. L., Teesson, M., & Newton, N. C. (2019). Effectiveness of school-based eHealth interventions to prevent multiple lifestyle risk behaviours among adolescents: A systematic review and meta-analysis. The Lancet Digital Health, 1(5), e206–e221. https://doi.org/10.1016/S2589-7500(19)30088-3
Coupe, N., Cotterill, S., & Peters, S. (2018). Tailoring lifestyle interventions to low socio-economic populations: A qualitative study. BMC Public Health, 18(1), 967. https://doi.org/10.1186/s12889-018-5877-8
Article PubMed PubMed Central Google Scholar
Cremers, H.-P., Mercken, L., Candel, M., de Vries, H., & Oenema, A. (2015). A Web-based, computer-tailored smoking prevention program to prevent children from starting to smoke after transferring to secondary school: Randomized controlled trial. Journal of Medical Internet Research, 17(3), e59. https://doi.org/10.2196/jmir.3794
Dai, H., Chaney, L., Ellerbeck, E., Friggeri, R., White, N., & Catley, D. (2021). Rural-urban differences in changes and effects of tobacco 21 in youth e-cigarette use. Pediatrics, 147(5), e2020020651. https://doi.org/10.1542/peds.2020-020651
Davis, A. M., Sampilo, M., Gallagher, K. S., Dean, K., Saroja, M. B., Yu, Q., He, J., & Sporn, N. (2016). Treating rural paediatric obesity through telemedicine vs. telephone: Outcomes from a cluster randomized controlled trial. Journal of Telemedicine and Telecare, 22(2), 86–95. https://doi.org/10.1177/1357633X15586642
Degenhardt, L., Chiu, W. T., Sampson, N., Kessler, R. C., Anthony, J. C., Angermeyer, M., Bruffaerts, R., de Girolamo, G., Gureje, O., Huang, Y., Karam, A., Kostyuchenko, S., Lepine, J. P., Mora, M. E., Neumark, Y., Ormel, J. H., Pinto-Meza, A., Posada-Villa, J., Stein, D. J., et al. (2008). Toward a global view of alcohol, tobacco, cannabis, and cocaine use: Findings from the WHO World Mental Health Surveys. PLOS Medicine, 5(7), e141. https://doi.org/10.1371/journal.pmed.0050141
Degenhardt, L., Stockings, E., Patton, G., Hall, W. D., & Lynskey, M. (2016). The increasing global health priority of substance use in young people. Lancet Psychiatry, 3(3), 251–264. https://doi.org/10.1016/S2215-0366(15)00508-8
Ding, D., Rogers, K., van der Ploeg, H., Stamatakis, E., & Bauman, A. E. (2015). Traditional and emerging lifestyle risk behaviors and all-cause mortality in middle-aged and older adults: Evidence from a large population-based australian cohort. PLOS Medicine, 12(12), e1001917. https://doi.org/10.1371/journal.pmed.1001917
Duell, N., & Steinberg, L. (2019). Positive risk taking in adolescence. Child Development Perspectives, 13(1), 48–52. https://doi.org/10.1111/cdep.12310
Dutra, L. M., & Glantz, S. A. (2014). High international electronic cigarette use among never smoker adolescents. Journal of Adolescent Health, 55(5), 595–597. https://doi.org/10.1016/j.jadohealth.2014.08.010
Egan, L., Gardner, L. A., Newton, N., & Champion, K. (2022). eHealth interventions targeting poor diet, alcohol use, tobacco smoking, and vaping among disadvantaged youth: protocol for a systematic review. JMIR Research Protocols, 11(5), e35408. https://doi.org/10.2196/35408
Ezzati, M., & Riboli, E. (2013). Behavioral and dietary risk factors for noncommunicable diseases. The New England Journal of Medicine, 369(10), 954–964. https://doi.org/10.1056/NEJMra1203528
Frenn, M., Malin, S., Bansal, N., Delgado, M., Greer, Y., Havice, M., Ho, M., & Schweizer, H. (2003). Addressing health disparities in middle school students’ nutrition and exercise. Journal of Community Health Nursing, 20(1), 1–14. https://doi.org/10.1207/S15327655JCHN2001_01
Frenn, M., Malin, S., Brown, R. L., Greer, Y., Fox, J., Greer, J., & Smyczek, S. (2005). Changing the tide: An Internet/video exercise and low-fat diet intervention with middle-school students. Applied Nursing Research, 18(1), 13–21. https://doi.org/10.1016/j.apnr.2004.04.003
Gardner, L. A., Champion, K. E., Chapman, C., Newton, N. C., Slade, T., Smout, S., Teesson, M., & Sunderland, M. (2022). Multiple lifestyle risk behaviours and hierarchical dimensions of psychopathology in 6640 Australian adolescents. Australian and New Zealand Journal of Psychiatry. https://doi.org/10.1177/00048674221080406
GBD 2019 Diseases and Injuries Collaborators. (2020). Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 396(10258), 1204–1222. https://doi.org/10.1016/S0140-6736(20)30925-9
Green, M. J., Gray, L., Sweeting, H., & Benzeval, M. (2020). Socioeconomic patterning of vaping by smoking status among UK adults and youth. BMC Public Health, 20(1), 183. https://doi.org/10.1186/s12889-020-8270-3
Article PubMed PubMed Central Google Scholar
Gustafson, A., Pitts, S. B. J., McQuerry, K., Babtunde, O., & Mullins, J. (2019). A mentor-led text-messaging intervention increases intake of fruits and vegetables and goal setting for healthier dietary consumption among rural adolescents in Kentucky and North Carolina, 2017. Nutrients, 11(3), 593. https://doi.org/10.3390/nu11030593
Article PubMed PubMed Central Google Scholar
Hammond, D., Reid, J. L., Rynard, V. L., Fong, G. T., Cummings, K. M., McNeill, A., Hitchman, S., Thrasher, J. F., Goniewicz, M. L., Bansal-Travers, M., O'Connor, R., Levy, D., Borland, R., & White, C. M. (2019). Prevalence of vaping and smoking among adolescents in Canada, England, and the United States: repeat national cross sectional surveys. BMJ, 365, l2219. https://doi.org/10.1136/bmj.l2219
Hoare, E., Crooks, N., Hayward, J., Allender, S., & Strugnell, C. (2019a). Associations between combined overweight and obesity, lifestyle behavioural risk and quality of life among Australian regional school children: Baseline findings of the Goulburn Valley health behaviours monitoring study. Health and Quality of Life Outcomes, 17(1), 16. https://doi.org/10.1186/s12955-019-1086-0
Article PubMed PubMed Central Google Scholar
Hoare, E., Marx, W., Firth, J., McLeod, S., Jacka, F., Chrousos, G. P., Manios, Y., & Moschonis, G. (2019b). Lifestyle behavioural risk factors and emotional functioning among schoolchildren: The Healthy Growth Study. European Psychiatry, 61, 79–84. https://doi.org/10.1016/j.eurpsy.2019.07.002
Hoffmann, T. C., Glasziou, P. P., Boutron, I., Milne, R., Perera, R., Moher, D., Altman, D. G., Barbour, V., Macdonald, H., Johnston, M., Lamb, S. E., Dixon-Woods, M., McCulloch, P., Wyatt, J. C., Chan, A.-W., & Michie, S. (2014). Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ, 348, g1687. https://doi.org/10.1136/bmj.g1687
Holly, L., Smith, R. D., Ndili, N., Franz, C., & Stevens, E. A. G. (2022). A review of digital health strategies in 10 countries with young populations: Do they serve the health and wellbeing of children and youth in a digital age? Frontiers in Digital Health, 4, 817810. https://doi.org/10.3389/fdgth.2022.817810
Hongthong, D., & Areesantichai, C. (2016). The effect of the PALMSS alcohol prevention program among high school students in a rural area of Thailand. Journal of Substance Use, 21(5), 460–465. https://doi.org/10.3109/14659891.2015.1063716
Hutton, A., Prichard, I., Whitehead, D., Thomas, S., Rubin, M., Sloand, E., Powell, T. W., Frisch, K., Newman, P., & Goodwin Veenema, T. (2020). mHealth interventions to reduce alcohol use in young people: a systematic review of the literature. Comprehensive Child and Adolescent Nursing, 43(3), 171–202. https://doi.org/10.1080/24694193.2019.1616008
Kazemi, D. M., Li, S., Levine, M. J., Auten, B., & Granson, M. (2021). Systematic review of smartphone apps as a mHealth intervention to address substance abuse in adolescents and adults. Journal of Addictions Nursing, 32(3), 180–187. https://doi.org/10.1097/JAN.0000000000000416
Kemp, B. J., Thompson, D. R., Watson, C. J., McGuigan, K., Woodside, J. V., & Ski, C. F. (2021). Effectiveness of family-based eHealth interventions in cardiovascular disease risk reduction: A systematic review. Preventive Medicine, 149, 106608. https://doi.org/10.1016/j.ypmed.2021.106608
Liu, J., Gaiha, S. M., & Halpern-Felsher, B. (2020). A breath of knowledge: Overview of current adolescent e-cigarette prevention and cessation programs. Current Addiction Reports, 7(4), 520–532. https://doi.org/10.1007/s40429-020-00345-5
Article PubMed PubMed Central Google Scholar
Liu, K., Daviglus, M. L., Loria, C. M., Colangelo, L. A., Spring, B., Moller, A. C., & Lloyd-Jones, D. M. (2012). Healthy lifestyle through young adulthood and the presence of low cardiovascular disease risk profile in middle age: The Coronary Artery Risk Development in (Young) Adults (CARDIA) study. Circulation, 125(8), 996–1004. https://doi.org/10.1161/CIRCULATIONAHA.111.060681
Article PubMed PubMed Central Google Scholar
Lubans, D. R., Smith, J. J., Plotnikoff, R. C., Dally, K. A., Okely, A. D., Salmon, J., & Morgan, P. J. (2016). Assessing the sustained impact of a school-based obesity prevention program for adolescent boys: The ATLAS cluster randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity, 13(1), 1–12. https://doi.org/10.1186/s12966-016-0420-8
Marqués-Sánchez, P., Quiroga Sánchez, E., Liébana-Presa, C., Fernández-Martínez, E., García-Rodríguez, I., Benítez- Andrades, J.A. The consumption of alcohol by adolescent schoolchildren: Differences in the triadic relationship pattern between rural and urban environments. PLoS ONE. 2020;15(11):e0241135. https://doi.org/10.1371/journal.pone.0241135
Martinez-Montilla, J. M., Mercken, L., de Vries, H., Candel, M., Lima-Rodríguez, J. S., & Lima-Serrano, M. (2020). A web-based, computer-tailored intervention to reduce alcohol consumption and binge drinking among spanish adolescents: Cluster randomized controlled trial. Journal of Medical Internet Research, 22(1), e15438. https://doi.org/10.2196/15438
Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., Stewart, L. A., & Group, P.-P. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4(1), 1. https://doi.org/10.1186/2046-4053-4-1
Murakami, K., & Livingstone, M. B. (2016). Decreasing the number of small eating occasions (<15 % of total energy intake) regardless of the time of day may be important to improve diet quality but not adiposity: A cross-sectional study in British children and adolescents. British Journal of Nutrition, 115(2), 332–341. https://doi.org/10.1017/S0007114515004420
Murry, V. M., Berkel, C., Inniss-Thompson, M. N., & Debreaux, M. L. (2019). Pathways for African American success: Results of three-arm randomized trial to test the effects of technology-based delivery for rural African American families. Journal of Pediatric Psychology, 44(3), 375–387. https://doi.org/10.1093/jpepsy/jsz001
Article PubMed PubMed Central Google Scholar
Newton, N. C., Champion, K. E., Slade, T., Chapman, C., Stapinski, L., Koning, I., Tonks, Z., & Teesson, M. (2017). A systematic review of combined student- and parent-based programs to prevent alcohol and other drug use among adolescents. Drug and Alcohol Review, 36(3), 337–351. https://doi.org/10.1111/dar.12497
Newton, N. C., Stapinski, L. A., Slade, T., Sunderland, M., Barrett, E. L., Champion, K. E., Chapman, C., Smout, A., Lawler, S. M., Mather, M., Debenham, J., Castellanos-Ryan, N., Conrod, P. J., & Teesson, M. (2022). The 7-year effectiveness of school-based alcohol use prevention from adolescence to early adulthood: A randomized controlled trial of universal, selective, and combined interventions. Journal of the American Academy of Child and Adolescent Psychiatry, 61(4), 520–532. https://doi.org/10.1016/j.jaac.2021.10.023
Newton, N. C., Teesson, M., Vogl, L. E., & Andrews, G. (2010). Internet-based prevention for alcohol and cannabis use: Final results of the Climate Schools course. Addiction, 105(4), 749–759. https://doi.org/10.1111/j.1360-0443.2009.02853.x
Nollen, N. L., Mayo, M. S., Carlson, S. E., Rapoff, M. A., Goggin, K. J., & Ellerbeck, E. F. (2014). Mobile technology for obesity prevention: A randomized pilot study in racial- and ethnic-minority girls. American Journal of Preventive Medicine, 46(4), 404–408.
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