Aune D, Giovannucci E, Boffetta P, Fadnes LT, Keum N, Norat T, et al. Fruit and vegetable intake and the risk of cardiovascular disease, total cancer and all-cause mortality—a systematic review and dose-response meta-analysis of prospective studies. Int J Epidemiol. 2017;46:1029–56.

PubMed 
PubMed Central 

Google Scholar
 

Li M, Fan Y, Zhang X, Hou W, Tang Z, Tang Z. Fruit and vegetable intake and risk of type 2 diabetes mellitus: meta-analysis of prospective cohort studies. BMJ Open. 2014;4. http://bmjopen.bmj.com/.

Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2224–60.

PubMed 
PubMed Central 

Google Scholar
 

Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:766–81.

PubMed 
PubMed Central 

Google Scholar
 

Katsoulis M, Lai AG, Diaz-Ordaz K, Gomes M, Pasea L, Banerjee A, et al. Identifying adults at high-risk for change in weight and BMI in England: a longitudinal, large-scale, population-based cohort study using electronic health records. Lancet Diabetes Endocrinol. 2021;9:681–94.

PubMed 
PubMed Central 

Google Scholar
 

Lassi Z, Moin A, Bhutta Z. Nutrition in Middle Childhood and Adolescence. In: Bundy DAP, de Silva N, Horton S, Jamison DT, Medina-Mora ML, editors. Disease Control Priorities: Child and Adolescent Health and Development. World Bank Publications; 2017. http://ebookcentral.proquest.com/lib/cam/detail.action?docID=5191196.

Norris SA, Frongillo EA, Black MM, Dong Y, Fall C, Lampl M, et al. Nutrition in adolescent growth and development. Lancet. 2022;399:172–84.

PubMed 

Google Scholar
 

Hruby A, Manson JE, Qi L, Malik VS, Rimm EB, Sun Q, et al. Determinants and Consequences of Obesity. Am J Public Health. 2016;106:1656–62.

PubMed 
PubMed Central 

Google Scholar
 

Nelson MC, Story M, Larson NI, Neumark-Sztainer D, Lytle LA. Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change. Obes Silver Spring Md. 2008;16:2205–11.


Google Scholar
 

Winpenny EM, Penney TL, Corder K, White M, van Sluijs EMF. Change in diet in the period from adolescence to early adulthood: a systematic scoping review of longitudinal studies. Int J Behav Nutr Phys Act. 2017;14:1–16.


Google Scholar
 

Sawyer SM, Azzopardi PS, Wickremarathne D, Patton GC. The age of adolescence. Lancet Child Adolesc Health. 2018;2:223–8.

PubMed 

Google Scholar
 

The National Health Service. nhs.uk. 2018 [cited 2024 Mar 21]. The NHS website. https://www.nhs.uk/.

Services Australia. Medicare – Services Australia. [cited 2024 Mar 21]. https://www.servicesaustralia.gov.au/medicare.

Elijah A. Australia and the United Kingdom. Table. 2006;95:667–78.


Google Scholar
 

British Council. The UK and Australia: Old friendships, new opportunities | British Council. [cited 2024 Mar 21]. https://www.britishcouncil.org/research-insight/uk-australia-friendship-opportunities.

Organisation for Economic Co-operation and Development. Non-Medical Determinants of Health. [cited 2024 Apr 15]. https://stats.oecd.org/Index.aspx?DataSetCode=HEALTH_LVNG#.

Australian Bureau of Statistics. Dietary behaviour, 2022. 2023 [cited 2024 Feb 2]. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/dietary-behaviour/latest-release.

Public Health England. NDNS: results from years 9 to 11 (combined) – statistical summary. 2020 [cited 2021 Dec 6]. https://www.gov.uk/government/statistics/ndns-results-from-years-9-to-11-2016-to-2017-and-2018-to-2019/ndns-results-from-years-9-to-11-combined-statistical-summary.

Health Survey for England. Health Survey for England: Fruit and vegetables. 2019 [cited 2021 Dec 6]. http://healthsurvey.hscic.gov.uk/data-visualisation/data-visualisation/explore-the-trends/fruit-vegetables.aspx?type=adult.

Hollis JL, Collins CE, DeClerck F, Chai LK, McColl K, Demaio AR. Defining healthy and sustainable diets for infants, children and adolescents. Glob Food Secur. 2020;27:100401.


Google Scholar
 

World Health Organization. World Health Organization. 2020 [cited 2023 Nov 17]. Healthy Diet. https://www.who.int/news-room/fact-sheets/detail/healthy-diet.

NHS. NHS. 2018 [cited 2021 Dec 2]. 5 A Day portion sizes – Eat well. https://www.nhs.uk/live-well/eat-well/5-a-day-portion-sizes/.

Council NH and MR. Recommended number of serves for adults. 2021 [cited 2024 Feb 15]. https://www.eatforhealth.gov.au/food-essentials/how-much-do-we-need-each-day/recommended-number-serves-adults.

Zarnowiecki DM, Dollman J, Parletta N. Associations between predictors of children’s dietary intake and socioeconomic position: a systematic review of the literature. Obes Rev J Int Assoc Study Obes. 2014;15:375–91.

CAS 

Google Scholar
 

Appannah G, Murray K, Trapp G, Dymock M, Oddy WH, Ambrosini GL. Dietary pattern trajectories across adolescence and early adulthood and their associations with childhood and parental factors. Am J Clin Nutr. 2021;113:36–46.

PubMed 

Google Scholar
 

Winpenny EM, Van Sluijs EMF, White M, Klepp KI, Wold B, Lien N. Changes in diet through adolescence and early adulthood: longitudinal trajectories and association with key life transitions. Int J Behav Nutr Phys Act. 2018 [cited 2021 Oct 21];15. https://doi.org/10.1186/s12966-018-0719-8.

Winpenny EM, Winkler MR, Stochl J, van Sluijs EMF, Larson N, Neumark-Sztainer D. Associations of early adulthood life transitions with changes in fast food intake: a latent trajectory analysis. Int J Behav Nutr Phys Act. 2020;17:130.

PubMed 
PubMed Central 

Google Scholar
 

NICE]. NICE; [cited 2024 Dec 9]. NICE and health inequalities | What we do | About. https://www.nice.org.uk/about/what-we-do/nice-and-health-inequalities.

Tao Y, Wall M, Larson N, Neumark-Sztainer D, Winpenny EM Changes in diet quality across life transitions from adolescence to early adulthood: a latent growth analysis. medRXiv; 2024 [cited 2024 Mar 21]. https://doi.org/10.1101/2024.02.14.24302819.

Emanuel AS, McCully SN, Gallagher KM, Updegraff JA. Theory of Planned Behavior Explains Gender Difference in Fruit and Vegetable Consumption. Appetite. 2012;59:693–7.

PubMed 
PubMed Central 

Google Scholar
 

Reynolds KD, Baranowski T, Bishop DB, Farris RP, Binkley D, Nicklas TA, et al. Patterns in Child and Adolescent Consumption of Fruit and Vegetables: Effects of Gender and Ethnicity across Four Sites. J Am Coll Nutr. 1999;18:248–54.

CAS 
PubMed 

Google Scholar
 

Milligan RA, Burke V, Beilin LJ, Dunbar DL, Spencer MJ, Balde E, et al. Influence of gender and socio-economic status on dietary patterns and nutrient intakes in 18-year-old Australians. Aust N. Z J Public Health. 1998;22:485–93.

CAS 
PubMed 

Google Scholar
 

Wardle J, Jarvis MJ, Steggles N, Sutton S, Williamson S, Farrimond H, et al. Socioeconomic disparities in cancer-risk behaviors in adolescence: baseline results from the Health and Behaviour in Teenagers Study (HABITS). Prev Med. 2003;36:721–30.

CAS 
PubMed 

Google Scholar
 

Billson H, Pryer JA, Nichols R. Variation in fruit and vegetable consumption among adults in Britain. An analysis from the dietary and nutritional survey of British adults. Eur J Clin Nutr. 1999;53:946–52.

CAS 
PubMed 

Google Scholar
 

Cribb VL, Jones LR, Rogers IS, Ness AR, Emmett PM. Is maternal education level associated with diet in 10-year-old children?. Public Health Nutr. 2011;14:2037–48.

PubMed 

Google Scholar
 

Thornton LE, Pearce JR, Ball K. Sociodemographic factors associated with healthy eating and food security in socio-economically disadvantaged groups in the UK and Victoria, Australia. Public Health Nutr. 2014;17:20–30.

PubMed 

Google Scholar
 

Giskes K, Turrell G, Patterson C, Newman B. Socio-economic differences in fruit and vegetable consumption among Australian adolescents and adults. Public Health Nutr. 2002;5:663–9.

PubMed 

Google Scholar
 

Fernández-Alvira JM, Mouratidou T, Bammann K, Hebestreit A, Barba G, Sieri S, et al. Parental education and frequency of food consumption in European children: the IDEFICS study. Public Health Nutr. 2013;16:487–98.

PubMed 

Google Scholar
 

University of Essex Institute for Social and Economic Research. Understanding Society: Waves 1-12, 2009-2022 and Harmonised BHPS: Waves 1-18, 1991-2009. UK Data Service; 2023.

Department of Social Services, Melbourne Institute of Applied Economic and Social Research. The Household, Income and Labour Dynamics in Australia (HILDA) Survey, GENERAL RELEASE 21. ADA Dataverse; 2023. https://doi.org/10.26193/KXNEBO.

Watson N, Wooden MP. The HILDA Survey: a case study in the design and development of a successful Household Panel Survey. Longitud Life Course Stud. 2012;3:369–81.


Google Scholar
 

Lynn P. Sample Design for Understanding Society.

Summerfield M, Garrard B, Kamath R, Macalalad N, Nesa MK, Watson N, et al. HILDA User Manual – Release 22.

R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2021.

Van Rossum G, Drake FL. Python 3 Reference Manual. Scotts Valley, CA: CreateSpace; 2009.

Schielzeth H, Dingemanse NJ, Nakagawa S, Westneat DF, Allegue H, Teplitsky C, et al. Robustness of linear mixed-effects models to violations of distributional assumptions. Methods Ecol Evol. 2020;11:1141–52.


Google Scholar
 

Bates D, Maechler M, Bolker B, Walker S lme4: Linear mixed-effects models using Eigen and S4: R package version. 2023 [cited 2023 Aug 11]. https://github.com/lme4/lme4/.

Bates DR: Compute Confidence Intervals for Parameters of a [ng]lmer Fit. [cited 2023 Aug 16]. https://search.r-project.org/CRAN/refmans/lme4/html/confint.merMod.html

Bacher E Easy Data Wrangling and Statistical Transformations. 2023. https://easystats.github.io/datawizard/.

Institute for Social and Economic Research. Understanding Society: Waves 1-13, 2009-2022 and Harmonised BHPS: Waves 1-18, 1991-2009, User Guide, 06 December 2023. Colchester: University of Essex; 2023.

Agudo, A. Measuring intake of fruit and vegetables. Kobe, Japan: Joint FAO/WHO; 2004 Sep. (Joint FAO/WHO Workshop). https://iris.who.int/bitstream/handle/10665/43144/9241592826_eng.pdf?sequence=1%20and%20isAllowed=y.

Lasko-Skinner R, Sweetland J. Food in a Pandemic. London: Food Standards Agency; 2021 Mar [cited 2023 Nov 27]. (Renew Normal: The People’s Commission on Life After Covid-19). https://www.food.gov.uk/sites/default/files/media/document/fsa-food-in-a-pandemic-march-2021.pdf.

Kombanda KT, Margerison C, Booth A, Worsley A. The Impact of the COVID-19 Pandemic on Young Australian Adults’ Food Practices. Curr Dev Nutr. 2022;6:nzac009.

PubMed 
PubMed Central 

Google Scholar
 

Tolhurst T, Princehorn E, Loxton D, Mishra G, Mate K, Byles J. Changes in the food and drink consumption patterns of Australian women during the COVID-19 pandemic. Aust N. Z J Public Health. 2022;46:704–9.

PubMed 

Google Scholar
 

Vogt T, Gustafsson PE. Disparities in fruit and vegetable intake at the intersection of gender and education in northern Sweden: a cross-sectional study. BMC Nutr. 2022;8:147.

PubMed 
PubMed Central 

Google Scholar
 

Stea TH, Nordheim O, Bere E, Stornes P, Eikemo TA. Fruit and vegetable consumption in Europe according to gender, educational attainment and regional affiliation-A cross-sectional study in 21 European countries. PloS One. 2020;15:e0232521.

CAS 
PubMed 
PubMed Central 

Google Scholar
 

Ashton LM, Morgan PJ, Hutchesson MJ, Rollo ME, Collins CE. Feasibility and preliminary efficacy of the ‘HEYMAN’ healthy lifestyle program for young men: a pilot randomised controlled trial. Nutr J. 2017;16:2.

PubMed 
PubMed Central 

Google Scholar
 

Advertising Standards Authority. Harm and Offence: Gender stereotypes. 2022 [cited 2024 Apr 23]. https://www.asa.org.uk/advice-online/harm-and-offence-gender-stereotypes.html.

Gurrieri, L, Hoffman, R. Addressing and Preventing Sexist Advertising: An analysis of local and global promising practice. RMIT University; 2019. https://womenshealthvic.com.au/resources/WHV_Publications/Issues-Paper_2019.10.29_Addressing-and-preventing-sexist-advertising-an-analysis-of-local-and-global-promising-practice_REVISED_(Fulltext-PDF).pdf.

Gasser CE, Mensah FK, Kerr JA, Wake M. Early life socioeconomic determinants of dietary score and pattern trajectories across six waves of the Longitudinal Study of Australian Children. J Epidemiol Community Health. 2017;71:1152–60.

PubMed 

Google Scholar
 

Faught EL, Mclaren L, Kirkpatrick SI, Hammond D, Minaker LM, Raine KD, et al. Socioeconomic Disadvantage across the Life Course Is Associated with Diet Quality in Young Adulthood. Nutrients. 2019 [cited 2021 Oct 21];11. www.canadafoodstudy.ca/contact.

Watt HC, Carson C, Lawlor DA, Patel R, Ebrahim S. Influence of Life Course Socioeconomic Position on Older Women’s Health Behaviors: Findings From the British Women’s Heart and Health Study. Am J Public Health. 2009;99:320–7.

PubMed 
PubMed Central 

Google Scholar
 

McGill R, Anwar E, Orton L, Bromley H, Lloyd-Williams F, O’Flaherty M, et al. Are interventions to promote healthy eating equally effective for all? Systematic review of socioeconomic inequalities in impact. BMC Public Health. 2015;15:457.

PubMed 
PubMed Central 

Google Scholar
 

Livingstone KM, Olstad DL, McNaughton SA, Nejatinamini S, Dollman J, Crawford D, et al. Do food-related capabilities, opportunities and motivations of adolescents mediate the association between socioeconomic position in adolescence and diet quality in early adulthood? Int J Behav Nutr Phys Act. 2023;20.

Laska MN, Larson NI, Neumark-Sztainer D, Story M, Nelson M. Does involvement in food preparation track from adolescenceto young adulthood and is it associated with better dietaryquality? Findings from a 10-year longitudinal study. Public Health Nutr. 2013;15:1150–8.


Google Scholar
 

Berge JM, MacLehose RF, Larson N, Laska M, Neumark-Sztainer D. Family Food Preparation and Its Effects on Adolescent Dietary Quality and Eating Patterns. J Adolesc Health. 2016;59:530–6.

PubMed 
PubMed Central 

Google Scholar