World Health Organization: Adolescent mental health https://www.who.int/news-room/fact-sheets/detail/adolescent-mental-health Accessed 13 July 2022.
Champion KE, Chapman C, Gardner LA, Sunderland M, Newton NC, Smout S, et al. Lifestyle risks for chronic disease among Australian adolescents: a cross-sectional survey. Med J Aust. 2022;216(3):156–7.
Article
PubMed
Google Scholar
Gardner LA, Debenham J, Newton NC, Chapman C, Wylie FE, Osman B, et al. Lifestyle risk behaviours among adolescents: a two-year longitudinal study of the impact of the COVID-19 pandemic. BMJ Open. 2022;12(6):e060309.
Article
PubMed
Google Scholar
ABS. National Health Survey: First Results, 2017–18. In: Australian Bureau of Statistics; 2018.
Google Scholar
ABS. Australian health survey: nutrition and physical activity 2011-12. In: Australian Bureau of Statistics; 2013.
Google Scholar
World Health Organization: Physical activity. https://www.who.int/news-room/fact-sheets/detail/physical-activity. Accessed 13 July 2022.
Australian Institute of Health and Welfare. Physical activity across the life stages. Canberra: AIHW; 2018.
Google Scholar
Wheaton AGJS, Cooper AC, Croft JB. Short Sleep Duration Among Middle School and High School Students — United States, 2015. MMWR Morb Mortal Wkly Rep. 2018;67:85–90.
Article
PubMed
PubMed Central
Google Scholar
O’Neil A, Quirk SE, Housden S, Brennan SL, Williams LJ, Pasco JA, et al. Relationship between diet and mental health in children and adolescents: a systematic review. Am J Public Health. 2014;104(10):e31–42.
Article
PubMed
PubMed Central
Google Scholar
Rodriguez-Ayllon M, Cadenas-Sánchez C, Estévez-López F, Muñoz NE, Mora-Gonzalez J, Migueles JH, et al. Role of physical activity and sedentary behavior in the mental health of preschoolers, children and adolescents: a systematic review and meta-analysis. Sports Med. 2019;49(9):1383–410.
Article
PubMed
Google Scholar
Sampasa-Kanyinga H, Colman I, Goldfield GS, Janssen I, Wang J, Podinic I, et al. Combinations of physical activity, sedentary time, and sleep duration and their associations with depressive symptoms and other mental health problems in children and adolescents: a systematic review. Int J Behav Nutr Phys Act. 2020;17(1):72.
Article
PubMed
PubMed Central
Google Scholar
Fatima Y, Doi SAR, Mamun AA. Longitudinal impact of sleep on overweight and obesity in children and adolescents: a systematic review and bias-adjusted meta-analysis. Obes Rev. 2015;16(2):137–49.
Article
CAS
PubMed
Google Scholar
Rey-López JP, Vicente-Rodríguez G, Biosca M, Moreno LA. Sedentary behaviour and obesity development in children and adolescents. Nutr Metab Cardiovasc Dis. 2008;18(3):242–51.
Article
PubMed
Google Scholar
World Health Organization: Obesity and overweight. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. Accessed 13 July 2022.
World Obesity Federation. Atlas of Childhood Obesity. https://www.worldobesity.org/membersarea/global-atlas-on-childhood-obesity. Accessed 13 July 2022.
AIHW. Overweight and obesity among Australian children and adolescents. Canberra: Australian Institute of Health and Welfare; 2020.
Google Scholar
Solmi M, Radua J, Olivola M, Croce E, Soardo L, Salazar de Pablo G, et al. Age at onset of mental disorders worldwide: large-scale meta-analysis of 192 epidemiological studies. Mol Psychiatry. 2022;27(1):281–95.
Article
CAS
PubMed
Google Scholar
van Vuuren CL, Wachter GG, Veenstra R, Rijnhart JJM, van der Wal MF, Chinapaw MJM, et al. Associations between overweight and mental health problems among adolescents, and the mediating role of victimization. BMC Public Health. 2019;19(1):612.
Article
PubMed
PubMed Central
Google Scholar
Kansra AR, Lakkunarajah S, Jay MS. Childhood and Adolescent Obesity: A Review. Front Pediatr. 2021;8:581461. https://doi.org/10.3389/fped.2020.581461.
Killedar A, Lung T, Petrou S, Teixeira-Pinto A, Tan EJ, Hayes A. Weight status and health-related quality of life during childhood and adolescence: effects of age and socioeconomic position. Int J Obes. 2020;44(3):637–45.
Article
Google Scholar
Martinson ML, Vasunilashorn SM. The long-arm of adolescent weight status on later life depressive symptoms. Age Ageing. 2016;45(3):389–95.
Article
PubMed
PubMed Central
Google Scholar
Oddy WH, Robinson M, Ambrosini GL, O’Sullivan TA, de Klerk NH, Beilin LJ, et al. The association between dietary patterns and mental health in early adolescence. Prev Med. 2009;49(1):39–44.
Article
PubMed
Google Scholar
Australian Institute of Health and Welfare. Mental illness. Canberra: AIHW; 2021.
Google Scholar
Li SH, Beames JR, Newby JM, Maston K, Christensen H, Werner-Seidler A. The impact of COVID-19 on the lives and mental health of Australian adolescents. Eur Child Adolesc Psychiatry. 2022;31(9):1465-77. https://doi.org/10.1007/s00787-021-01790-x.
Australian Institute of Health and Welfare. COVID-19 and the impact on young people. Canberra: AIHW; 2021.
Google Scholar
Partridge SR, Reece L, Sim KA, Todd A, Jia SS, Raeside R, et al. An analysis of current obesity strategies for adolescents in NSW against best practice recommendations: implications for researchers, policymakers and practitioners. Health Promot J Austr. 2022; Online ahead of print.
Rosenbaum S, Tiedemann A, Stanton R, Parker A, Waterreus A, Curtis J, et al. Implementing evidence-based physical activity interventions for people with mental illness: an Australian perspective. Australas Psychiatry. 2015;24(1):49–54.
Article
PubMed
Google Scholar
Falkner NH, Neumark-Sztainer D, Story M, Jeffery RW, Beuhring T, Resnick MD. Social, educational, and psychological correlates of weight status in adolescents. Obes Res. 2001;9(1):32–42.
Article
CAS
PubMed
Google Scholar
Department of Health. National Obesity Strategy 2022–2032. Canberra: Australian Government; 2021.
Google Scholar
Kang M, Robards F, Luscombe G, Sanci L, Usherwood T. The relationship between having a regular general practitioner (GP) and the experience of healthcare barriers: a cross-sectional study among young people in NSW, Australia, with oversampling from marginalised groups. BMC Fam Pract. 2020;21(1):220.
Article
PubMed
PubMed Central
Google Scholar
Kang MRF, Sanci L, Steinbeck K, Jan S, Hawke C, Luscombe G, et al. Access 3: young people and the health system in the digital age - final research report; 2018.
Google Scholar
Hurling R, Catt M, Boni MD, Fairley BW, Hurst T, Murray P, et al. Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial. J Med Internet Res. 2007;9(2):e7.
Article
PubMed
PubMed Central
Google Scholar
Santo K, Hyun K, de Keizer L, Thiagalingam A, Hillis GS, Chalmers J, et al. The effects of a lifestyle-focused text-messaging intervention on adherence to dietary guideline recommendations in patients with coronary heart disease: an analysis of the TEXT ME study. Int J Behav Nutr Phys Act. 2018;15(1):45.
Article
PubMed
PubMed Central
Google Scholar
Cox KL, Allida SM, Hackett ML. Text messages to reduce depressive symptoms: do they work and what makes them effective? A systematic review. Health Educ J. 2020;80(3):253–71.
Article
Google Scholar
Chow CK, Redfern J, Hillis GS, Thakkar J, Santo K, Hackett ML, et al. Effect of lifestyle-focused text messaging on risk factor modification in patients with coronary heart disease: a randomized clinical trial. JAMA. 2015;314(12):1255–63.
Article
CAS
PubMed
Google Scholar
Ludwig K, Arthur R, Sculthorpe N, Fountain H, Buchan DS. Text messaging interventions for improvement in physical activity and sedentary behavior in youth: systematic review. JMIR mHealth uHealth. 2018;6(9):e10799.
Article
PubMed
PubMed Central
Google Scholar
Roy Morgan Research: 9 in 10 Aussie teens now have a mobile . http://roymorgan.com.au/findings/6929-australian-teenagers-and-their-mobile-phones-june-2016-201608220922. Accessed 13 July 2022.
Sutherland K, Chessman J, Zhao J, Sara G, Shetty A, Smith S, et al. Impact of COVID-19 on healthcare activity in NSW, Australia. Public Health Res Pract. 2020;30(4):e3042030.
Article
Google Scholar
Redfern J, Thiagalingam A, Jan S, Whittaker R, Hackett ML, Mooney J, et al. Development of a set of mobile phone text messages designed for prevention of recurrent cardiovascular events. Eur J Prev Cardiol. 2014;21(4):492–9.
Article
CAS
PubMed
Google Scholar
Valanju R, Barani M, Mautner D, Al Hadaya I, Cross A, Gunawardana M, et al. Youth perspective on chronic disease prevention. Lancet Child Adolesc Health. 2022;6(7):456–8.
Article
PubMed Central
Google Scholar
Partridge SR, Raeside R, Singleton AC, Hyun K, Latham Z, Grunseit A, et al. Text message behavioral intervention for teens on eating, physical activity and social wellbeing (TEXTBITES): protocol for a randomized controlled trial. JMIR Res Protocols. 2020;9(2):e16481.
Article
Google Scholar
Singleton A, Partridge SR, Raeside R, Regimbal M, Hyun KK, Chow CK, et al. A text message intervention to support women’s physical and mental health after breast cancer treatments (EMPOWER-SMS): a randomised controlled trial protocol. BMC Cancer. 2019;19(1):660.
Article
CAS
PubMed
PubMed Central
Google Scholar
Singleton AC, Raeside R, Partridge SR, Hyun KK, Tat-Ko J, Sum SCM, et al. Supporting women’s health outcomes after breast cancer treatment comparing a text message intervention to usual care: the EMPOWER-SMS randomised clinical trial. J Cancer Surviv. 2022; Online ahead of print.
Watson JF, Collins CE, Sibbritt DW, Dibley MJ, Garg ML. Reproducibility and comparative validity of a food frequency questionnaire for Australian children and adolescents. Int J Behav Nutr Phys Act. 2009;6(1):62.
Article
PubMed
PubMed Central
Google Scholar
Burrows TL, Warren JM, Colyvas K, Garg ML, Collins CE. Validation of overweight children’s fruit and vegetable intake using plasma carotenoids. Obesity (Silver Spring). 2009;17(1):162–8.
Article
CAS
Google Scholar
Vanl CMT, Okely AD, Batterham MJ, Hinkley T, Ekelund U, Brage S, et al. Wrist acceleration cut points for moderate-to-vigorous physical activity in youth. Med Sci Sports Exerc. 2018;50(3):609–16.
Article
Google Scholar
Lohman TRA, Martorell R. In: Kinetics H, editor. Anthropometric Standardization Reference Manual. Champaign: Human Kinetics Books, Chicago; 1988.
de la Vega R, Tomé-Pires C, Solé E, Racine M, Castarlenas E, Jensen MP, et al. The Pittsburgh sleep quality index: validity and factor structure in young people. Psychol Assess. 2015;27(4):e22–7.
Article
PubMed
Google Scholar
Famodu OA, Barr ML, Holásková I, Zhou W, Morrell JS, Colby SE, et al. Shortening of the Pittsburgh sleep quality index survey using factor analysis. Sleep Disord. 2018;2018:9643937.
Article
PubMed
PubMed Central
Google Scholar
Ratcliffe J, Stevens K, Flynn T, Brazier J, Sawyer M. An assessment of the construct validity of the CHU9D in the Australian adolescent general population. Qual Life Res. 2012;21(4):717–25.
Article
PubMed
Google Scholar
Steele MM, Burns LG, Whitaker BN. Reliability and validity of the SE-HEPA: examining physical activity– and healthy eating–specific self-efficacy among a sample of preadolescents. Health Educ Behav. 2013;40(3):355–61.
Article
PubMed
Google Scholar
Tiirikainen K, Haravuori H, Ranta K, Kaltiala-Heino R, Marttunen M. Psychometric properties of the 7-item generalized anxiety disorder scale (GAD-7) in a large representative sample of Finnish adolescents. Psychiatry Res. 2019;272:30–5.
Article
PubMed
Google Scholar
Haroz EE, Ybarra ML, Eaton WW. Psychometric evaluation of a self-report scale to measure adolescent depression: the CESDR-10 in two national adolescent samples in the United States. J Affect Disord. 2014;158:154–60.
Article
PubMed
PubMed Central
Google Scholar
Mewton L, Kessler RC, Slade T, Hobbs MJ, Brownhill L, Birrell L, et al. The psychometric properties of the Kessler psychological distress scale (K6) in a general population sample of adolescents. Psychol Assess. 2016;28(10):1232–42.
Article
PubMed
Google Scholar
Bryant E, Miskovic-Wheatley J, Touyz SW, Crosby RD, Koreshe E, Maguire S. Identification of high risk and early stage eating disorders: first validation of a digital screening tool. J Eat Disord. 2021;9(1):109.
Article
PubMed
PubMed Central
Google Scholar
Blumberg SJ, Bialostosky K, Hamilton WL, Briefel RR. The effectiveness of a short form of the household food security scale. Am J Public Health. 1999;89(8):1231–4.
Article
CAS
PubMed
PubMed Central
Google Scholar
Norman CD, Skinner HA. eHEALS: the eHealth literacy scale. J Med Internet Res. 2006;8(4):e27.
Article
PubMed
PubMed Central
Google Scholar
Davies A, Wellard-Cole L, Rangan A, Allman-Farinelli M. Validity of self-reported weight and height for BMI classification: a cross-sectional study among young adults. Nutrition (Burbank, Los Angeles County, Calif). 2020;71:110622.
Article
Google Scholar
Sarkkola C, Rounge TB, Simola-Ström S, von Kraemer S, Roos E, Weiderpass E. Validity of home-measured height, weight and waist circumference among adolescents. Eur J Pub Health. 2016;26(6):975–7.
Article
Google Scholar
(CDC) CDCaP: measuring children’s height and weight accurately at home; 2021.
Google Scholar
Cullen KW, Thompson D, Boushey C, Konzelmann K, Chen TA. Evaluation of a web-based program promoting healthy eating and physical activity for adolescents: teen choice: food and fitness. Health Educ Res. 2013;28(4):704–14.
Article
PubMed
Google Scholar
Holm S. A simple sequentially rejective multiple test procedure. Scand J Stat. 1979;6(2):65–70.
Google Scholar