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Factors associated with high consumption of soft drinks among Australian secondary-school students

  • Maree Scully (a1), Belinda Morley (a1), Philippa Niven (a1), David Crawford (a2), Iain S Pratt (a3) and Melanie Wakefield (a1)...

To examine demographic and behavioural correlates of high consumption of soft drinks (non-alcoholic sugar-sweetened carbonated drinks excluding energy drinks) among Australian adolescents and to explore the associations between high consumption and soft drink perceptions and accessibility.


Cross-sectional self-completion survey and height and weight measurements.


Australian secondary schools.


Students aged 12–17 years participating in the 2012–13 National Secondary Students’ Diet and Activity (NaSSDA) survey (n 7835).


Overall, 14 % of students reported consuming four or more cups (≥1 litres) of soft drinks each week (‘high soft drink consumers’). Demographic factors associated with high soft drink consumption were being male and having at least $AU 40 in weekly spending money. Behavioural factors associated with high soft drink consumption were low fruit intake, consuming energy drinks on a weekly basis, eating fast foods at least once weekly, eating snack foods ≥14 times/week, watching television for >2 h/d and sleeping for <8 h/school night. Students who perceived soft drinks to be usually available in their home, convenient to buy and good value for money were more likely to be high soft drink consumers, as were students who reported usually buying these drinks when making a beverage purchase from the school canteen/vending machine.


High soft drink consumption clusters with other unhealthy lifestyle behaviours among Australian secondary-school students. Interventions focused on reducing the availability of soft drinks (e.g. increased taxes, restricting their sale in schools) as well as improved education on their harms are needed to lower adolescents’ soft drink intake.

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1. Vartanian, LR, Schwartz, MB & Brownell, KD (2007) Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis. Am J Public Health 97, 667675.
2. Malik, VS, Pan, A, Willett, WC et al. (2013) Sugar-sweetened beverages and weight gain in children and adults: a systematic review and meta-analysis. Am J Clin Nutr 98, 10841102.
3. Te Morenga, L, Mallard, S & Mann, J (2012) Dietary sugars and body weight: systematic review and meta-analyses of randomised controlled trials and cohort studies. BMJ 346, e7492.
4. World Health Organization (2015) Guideline: Sugars Intake for Adults and Children. Geneva: WHO.
5. Moynihan, P & Petersen, PE (2004) Diet, nutrition and the prevention of dental diseases. Public Health Nutr 7, 201226.
6. Shenkin, JD, Heller, KE, Warren, JJ et al. (2003) Soft drink consumption and caries risk in children and adolescents. Gen Dent 51, 3036.
7. Australian Bureau of Statistics (2014) Non-Alcoholic Beverages. 4364.0.55.007 – Australian Health Survey: Nutrition First Results – Foods and Nutrients, 2011–12. Canberra: ABS.
8. Clifton, PM, Chan, L, Moss, CL et al. (2011) Beverage intake and obesity in Australian children. Nutr Metab (Lond) 8, 87.
9. Rangan, AM, Kwan, J, Flood, VM et al. (2011) Changes in ‘extra’ food intake among Australian children between 1995 and 2007. Obes Res Clin Pract 5, e55e63.
10. Ranjit, N, Evans, MH, Byrd-Williams, C et al. (2010) Dietary and activity correlates of sugar-sweetened beverage consumption among adolescents. Pediatrics 126, e754e761.
11. Park, S, Blanck, HM, Sherry, B et al. (2012) Factors associated with sugar-sweetened beverage intake among United States high school students. J Nutr 142, 306312.
12. Park, S, Sherry, B, Foti, K et al. (2012) Self-reported academic grades and other correlates of sugar-sweetened soda intake among US adolescents. J Acad Nutr Diet 112, 125131.
13. Bere, E, Glomnes, ES, te Velde, SJ et al. (2008) Determinants of adolescents’ soft drink consumption. Public Health Nutr 11, 4956.
14. Stokols, D (1992) Establishing and maintaining healthy environments. Toward a social ecology of health promotion. Am Psychol 47, 622.
15. Australian Bureau of Statistics (2013) Technical Paper: Socio-Economic Indexes for Areas (SEIFA) 2011. ABS Catalogue no. 2033.0.55.001. Canberra: ABS.
16. Australian Bureau of Statistics (2013) Australian Statistical Geography Standard (ASGS): Volume 5 – Remoteness Structure. ABS Catalogue no. 1270.0.55.005. Canberra: ABS.
17. Davies, PSW, Roodveldt, R & Marks, G (2001) Standard Methods for the Collection and Collation of Anthropometric Data in Children. Canberra: Commonwealth Department of Health and Aged Care.
18. Cole, TJ, Bellizzi, MC, Flegal, KM et al. (2000) Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 320, 12401243.
19. Flood, V, Webb, K & Rangan, A (2005) Recommendations for Short Questions to Assess Food Consumption in Children for the NSW Health Surveys. Sydney: NSW Centre for Public Health Nutrition.
20. Niven, P, Scully, M, Morley, B et al. (2015) What factors are associated with frequent unhealthy snack-food consumption among Australian secondary-school students? Public Health Nutr 18, 21532160.
21. Prochaska, JJ, Sallis, JF & Long, B (2001) A physical activity screening measure for use with adolescents in primary care. Arch Pediatr Adolesc Med 155, 554559.
22. Department of Health (2014) Australia’s Physical Activity and Sedentary Behaviour Guidelines. Canberra: Commonwealth of Australia.
23. Australian Bureau of Statistics (2013) 2033.0.55.001 – Census of Population and Housing: Socio-Economic Indexes for Areas (SEIFA), Australia, 2011. Canberra: ABS.
24. Hafekost, K, Mitrou, F, Lawrence, D et al. (2011) Sugar sweetened beverage consumption by Australian children: implications for public health strategy. BMC Public Health 11, 950.
25. Vereecken, CA, Inchley, J, Subramanian, SV et al. (2005) The relative influence of individual and contextual socio-economic status on consumption of fruit and soft drinks among adolescents in Europe. Eur J Public Health 15, 224232.
26. Brug, J, van Stralen, MM, Te Velde, SJ et al. (2012) Differences in weight status and energy-balance related behaviors among schoolchildren across Europe: the ENERGY-project. PLoS One 7, e34742.
27. Currie, C, Molcho, M, Boyce, W et al. (2008) Researching health inequalities in adolescents: the development of the Health Behaviour in School-Aged Children (HBSC) Family Affluence Scale. Soc Sci Med 66, 14291436.
28. Inchley, J, Currie, D, Young, T et al. (2016) Growing up Unequal: Gender and Socioeconomic Differences in Young People’s Health and Well-Being. Copenhangen: WHO Regional Office for Europe.
29. Verzeletti, C, Maes, L, Santinello, M et al. (2010) Soft drink consumption in adolescence: associations with food-related lifestyles and family rules in Belgium Flanders and the Veneto Region of Italy. Eur J Public Health 20, 312317.
30. Collison, KS, Zaidi, MZ, Subhani, SN et al. (2010) Sugar-sweetened carbonated beverage consumption correlates with BMI, waist circumference, and poor dietary choices in school children. BMC Public Health 10, 234.
31. Larson, N, Dewolfe, J, Story, M et al. (2014) Adolescent consumption of sports and energy drinks: linkages to higher physical activity, unhealthy beverage patterns, cigarette smoking, and screen media use. J Nutr Educ Behav 46, 181187.
32. Kelly, B, Baur, LA, Bauman, AE et al. (2010) Examining opportunities for promotion of healthy eating at children’s sports clubs. Aust N Z J Public Health 34, 583588.
33. Pearson, N & Biddle, SJH (2011) Sedentary behavior and dietary intake in children, adolescents, and adults. A systematic review. Am J Prev Med 41, 178188.
34. Marsh, S, Ni Mhurchu, C & Maddison, R (2013) The non-advertising effects of screen-based sedentary activities on acute eating behaviours in children, adolescents, and young adults. A systematic review. Appetite 71, 259273.
35. Keast, RS & Riddell, LJ (2007) Caffeine as a flavor additive in soft-drinks. Appetite 49, 255259.
36. Orbeta, RL, Overpeck, MD, Ramcharran, D et al. (2006) High caffeine intake in adolescents: associations with difficulty sleeping and feeling tired in the morning. J Adolesc Health 38, 451453.
37. Keast, RS, Sayompark, D, Sacks, G et al. (2011) The influence of caffeine on energy content of sugar-sweetened beverages: ‘the caffeine-calorie effect’. Eur J Clin Nutr 65, 13381344.
38. Denney-Wilson, E, Crawford, D, Dobbins, T et al. (2009) Influences on consumption of soft drinks and fast foods in adolescents. Asia Pac J Clin Nutr 18, 447452.
39. Grimm, GC, Harnack, L & Story, M (2004) Factors associated with soft drink consumption in school-aged children. J Am Diet Assoc 104, 12441249.
40. Hammond, D (2011) Health warning messages on tobacco products: a review. Tob Control 20, 327337.
41. Martin-Moreno, JM, Harris, ME, Breda, J et al. (2013) Enhanced labelling on alcoholic drinks: reviewing the evidence to guide alcohol policy. Eur J Public Health 23, 10821087.
42. Pettigrew, S, Jongenelis, MI, Glance, D et al. (2016) The effect of cancer warning statements on alcohol consumption intentions. Health Educ Res 31, 6069.
43. Azagba, S & Sharaf, MF (2013) The effect of graphic cigarette warning labels on smoking behavior: evidence from the Canadian experience. Nicotine Tob Res 15, 708717.
44. White, V, Webster, B & Wakefield, M (2008) Do graphic health warning labels have an impact on adolescents’ smoking-related beliefs and behaviors? Addiction 103, 15621571.
45. VanEpps, EM & Roberto, CA (2016) The influence of sugar-sweetened beverage warnings: a randomized trial of adolescents’ choices and beliefs. Am J Prev Med 51, 664672.
46. Bollard, T, Maubach, N, Walker, N et al. (2016) Effects of plain packaging, warning labels, and taxes on young people’s predicted sugar-sweetened beverage preferences: an experimental study. Int J Behav Nutr Phys Act 13, 95.
47. Colchero, MA, Popkin, BM, Rivera, JA et al. (2016) Beverage purchases from stores in Mexico under the excise tax on sugar sweetened beverages: observational study. BMJ 352, h6704.
48. Andreyeva, T, Chaloupka, FJ & Brownell, KD (2011) Estimating the potential of taxes on sugar-sweetened beverages to reduce consumption and generate revenue. Prev Med 52, 413416.
49. Andreyeva, T, Long, MW & Brownell, KD (2010) The impact of food prices on consumption: a systematic review of research on the price elasticity of demand for food. Am J Public Health 100, 216222.
50. Thow, AM, Downs, S & Jan, S (2014) A systematic review of the effectiveness of food taxes and subsidies to improve diets: understanding the recent evidence. Nutr Rev 72, 551565.
51. Duckett, S, Swerissen, H & Wiltshire, T (2016) A Sugary Drinks Tax: Recovering the Community Costs of Obesity. Melbourne: Grattan Institute; available at
52. Woods, J, Bressan, A, Langelaan, C et al. (2014) Australian school canteens: menu guideline adherence or avoidance? Health Promot J Aust 25, 110115.
53. Gwynn, JD, Flood, VM, D’Este, CA et al. (2011) The reliability and validity of a short FFQ among Australian Aboriginal and Torres Strait Islander and non-Indigenous rural children. Public Health Nutr 14, 388401.
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