Hostname: page-component-76dd75c94c-7vt9j Total loading time: 0 Render date: 2024-04-30T07:52:05.478Z Has data issue: false hasContentIssue false

Temporal trends of carbonated soft-drink consumption among adolescents aged 12–15 years from eighteen countries in Africa, Asia and the Americas

Published online by Cambridge University Press:  16 January 2024

Lee Smith
Affiliation:
Centre for Health Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
Guillermo Felipe López Sánchez*
Affiliation:
Division of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain
Mark A Tully
Affiliation:
School of Medicine, Ulster University, Londonderry, Northern Republic of Ireland, UK
Masoud Rahmati
Affiliation:
Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khorramabad, Iran Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
Hans Oh
Affiliation:
Suzanne Dworak Peck School of Social Work, University of Southern California, Los Angeles, CA, USA
Karel Kostev
Affiliation:
University Clinic of Marburg, Marburg, Germany
Laurie T. Butler
Affiliation:
Centre for Health Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
Yvonne Barnett
Affiliation:
Centre for Health Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
Helen Keyes
Affiliation:
School of Psychology and Sport Science, Anglia Ruskin University, Cambridge, UK
Jae Il Shin*
Affiliation:
Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea Severance Underwood Meta-Research Center, Institute of Convergence Science, Yonsei University, Seoul, Republic of Korea
Ai Koyanagi
Affiliation:
Research and Development Unit, Parc Sanitari Sant Joan de Déu, Dr. Antoni Pujadas, Sant Boi de Llobregat, Barcelona, Spain
*
*Corresponding authors: Dr Guillermo Felipe López Sánchez, email gfls@um.es; Prof. Jae Il Shin, email shinji@yuhs.ac
*Corresponding authors: Dr Guillermo Felipe López Sánchez, email gfls@um.es; Prof. Jae Il Shin, email shinji@yuhs.ac

Abstract

Carbonated soft-drink consumption is detrimental to multiple facets of adolescent health. However, little is known about temporal trends in carbonated soft-drink consumption among adolescents, particularly in non-Western countries. Therefore, we aimed to examine this trend in representative samples of school-going adolescents from eighteen countries in Africa, Asia and the Americas. Cross-sectional data from the Global School-based Student Health Survey 2009–2017 were analysed. Carbonated soft-drink consumption referred to drinking carbonated soft-drinks at least once per day in the past 30 d. The prevalence of carbonated soft-drink consumption was calculated for each survey, and crude linear trends were assessed by linear regression models. Data on 74 055 students aged 12–15 years were analysed (mean age 13·9 (sd 1·0) years; 49·2 % boys). The overall mean prevalence of carbonated soft-drink consumption was 42·1 %. Of the eighteen countries included in the study, significant decreasing, increasing and stable trends of carbonated soft-drink consumption were observed in seven, two and nine countries, respectively. The most drastic decrease was observed in Kuwait between 2011 (74·4 %) and 2015 (51·7 %). Even in countries with significant decreasing trends, the decrease was rather modest, while some countries with stable trends had very high prevalence across time (e.g. Suriname 80·5 % in 2009 and 79·4 % in 2016). The prevalence of carbonated soft-drink consumption was high in all countries included in the present analysis, despite decreasing trends being observed in some. Public health initiatives to reduce the consumption of carbonated soft-drink consumption among adolescents are urgently required.

Type
Research Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of The Nutrition Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bleich, SN & Wolfson, JA (2015) US adults and child snacking patterns among sugar-sweetened beverage drinkers and non-drinkers. Prev Med (Baltim) 72, 814.CrossRefGoogle ScholarPubMed
Reedy, J & Krebs-Smith, SM (2010) Dietary sources of energy, solid fats, and added sugars among children and adolescents in the United States. J Am Diet Assoc 110, 14771484.CrossRefGoogle ScholarPubMed
Garnett, BR, Rosenberg, KD & Morris, DS (2013) Consumption of soda and other sugar-sweetened beverages by 2-year-olds: findings from a population-based survey. Public Health Nutr 16, 17601767.CrossRefGoogle ScholarPubMed
Euromonitor International (2022) Soft Drinks (Internet). https://www.euromonitor.com/soft-drinks (accessed 26 October 2023).Google Scholar
Lake, AA, Mathers, JC, Rugg-Gunn, AJ, et al. (2006) Longitudinal change in food habits between adolescence (11–12 years) and adulthood (32–33 years): the ASH30 Study. J Public Health (Bangkok) 28, 1016.CrossRefGoogle Scholar
Public Health England (2015) SACN Carbohydrates and Health Rep (Internet). https://www.gov.uk/government/publications/sacn-carbohydrates-and-health-report (accessed 26 October 2023).Google Scholar
Chi, DL & Scott, JM (2019) Added sugar and dental caries in children: a scientific update and future steps. Dent Clin 63, 1733.Google ScholarPubMed
Jacob, L, Stubbs, B & Koyanagi, A (2020) Consumption of carbonated soft drinks and suicide attempts among 105 061 adolescents aged 12–15 years from 6 high-income, 22 middle-income, and 4 low-income countries. Clin Nutr 39, 886892.CrossRefGoogle ScholarPubMed
Smith, L, Jacob, L, Shin, JI, et al. (2021) Bullying victimization and obesogenic behaviour among adolescents aged 12–15 years from 54 low-and middle-income countries. Pediatr Obes 16, e12700.CrossRefGoogle Scholar
López Sánchez, GF, Vigueras Hernández, MR, Lucas Casas, P, et al. (2022) Impact of physical activity, BMI and sociodemographic and lifestyle factors on the risk of diabetes in 9511 Ghanaian adults. Sport TK Rev Euroam ciencias Deport 11, 15.CrossRefGoogle Scholar
González-Carcelén, CM, Nicolás López, J & López Sánchez, GF (2020) Levels of physical activity in people with diabetes residing in Spain. Atena J Public Heal 2, 2.Google Scholar
Movassagh, EZ, Baxter-Jones, ADG, Kontulainen, S, et al. (2017) Tracking dietary patterns over 20 years from childhood through adolescence into young adulthood: the Saskatchewan Pediatric Bone Mineral Accrual Study. Nutrients 9, 990.CrossRefGoogle ScholarPubMed
Lee, MM, Altman, E & Madsen, KA (2021) Peer reviewed: secular trends in sugar-sweetened beverage consumption among adults, teens, and children: the California Health Interview Survey, 2011–2018. Prev Chronic Dis 18, E12.Google Scholar
Dai, J, Soto, MJ, Dunn, CG, et al. (2021) Trends and patterns in sugar-sweetened beverage consumption among children and adults by race and/or ethnicity, 2003–2018. Public Health Nutr 24, 24052410.CrossRefGoogle ScholarPubMed
Chatelan, A, Rouche, M, Dzielska, A, et al. (2021) Time trends in consumption of sugar-sweetened beverages and related socioeconomic differences among adolescents in Eastern Europe: signs of a nutrition transition? Am J Clin Nutr 114, 14761485.CrossRefGoogle ScholarPubMed
Hamadeh, N, Van Rompaey, C, Metreau, E, et al. (2022) New World Bank Country Classifications by Income Level: 2022–2023 (Internet). pp. 2023. https://blogs.worldbank.org/opendata/new-world-bank-country-classifications-income-level-2022–2023 (accessed 26 October 2023).Google Scholar
Ashdown-Franks, G, Vancampfort, D, Firth, J, et al. (2019) Association of leisure-time sedentary behavior with fast food and carbonated soft drink consumption among 133 555 adolescents aged 12–15 years in 44 low-and middle-income countries. Int J Behav Nutr Phys Act 16, 111.CrossRefGoogle ScholarPubMed
Behbehani, K (2014) Kuwait national programme for healthy living: first 5-year plan (2013–2017). Med Princ Pract 23, 3242.CrossRefGoogle Scholar
Al-Jawaldeh, A & Megally, R (2021) Impact evaluation of soft drink taxes as part of nutrition policies in Gulf Cooperation Council countries: Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and United Arab Emirates. F1000Research 9, 1287.CrossRefGoogle Scholar
World Health Organization (2022) Programmes/Actions in Morocco (Internet). https://extranet.who.int/nutrition/gina/en/programmes/1494/topics (accessed 26 October 2023).Google Scholar
Kennedy, G, Nantel, G & Shetty, P (2004) Globalization of Food Systems in Developing Countries: Impact on Food Security and Nutrition. https://www.fao.org/documents/card/es?details=25f0d49b-c900-5879-9cdf-ffbaa70ce6e3/ (accessed 26 October 2023).Google Scholar
Taber, DR, Chriqui, JF, Vuillaume, R, et al. (2015) The association between state bans on soda only and adolescent substitution with other sugar-sweetened beverages: a cross-sectional study. Int J Behav Nutr Phys Act 12, 19.CrossRefGoogle ScholarPubMed
Brownsell, A (2015) Coca-Cola Launches ‘Billion Reasons to Believe’ TV Campaign Across Africa (Internet). http://www.mandmglobal.com/coca-cola-launches-billion-reasons-to-believe-tv-campaign-across-africa/ (accessed 26 October 2023).Google Scholar
Byala, S (2018) Water, Waste, Energy: Lessons from Coca-Cola in Africa (Internet). https://kleinmanenergy.upenn.edu/research/publications/water-waste-energy-lessons-from-coca-cola-in-africa/ (accessed 26 October 2023).Google Scholar
Food Business Africa (2022) Coca-Cola’s New Bottling Partner in Benin CCDBC Receives US$30m from BOAD for Expansion (Internet). https://www.foodbusinessafrica.com/coca-colas-new-bottling-partner-in-benin-ccdbc-receives-us30m-from-boad-for-expansion/ (accessed 26 October 2023).Google Scholar
FIFA Women’s Ranking (2023) Women’s Ranking. https://www.fifa.com/fifa-world-ranking/women (accessed 26 October 2023).Google Scholar
Zhong, Y, Auchincloss, AH, Lee, BK, et al. (2018) The short-term impacts of the Philadelphia beverage tax on beverage consumption. Am J Prev Med 55, 2634.CrossRefGoogle ScholarPubMed
Falbe, J, Thompson, HR, Becker, CM, et al. (2016) Impact of the Berkeley excise tax on sugar-sweetened beverage consumption. Am J Public Health 106, 18651871.CrossRefGoogle ScholarPubMed
Colchero, MA, Rivera-Dommarco, J, Popkin, BM, et al. (2017) Evidence of sustained consumer response two years after implementing a sugar-sweetened beverage tax. Health Aff 36, 564571.CrossRefGoogle ScholarPubMed
Alvarado, M, Unwin, N, Sharp, SJ, et al. (2019) Assessing the impact of the Barbados sugar-sweetened beverage tax on beverage sales: an observational study. Int J Behav Nutr Phys Act 16, 111.CrossRefGoogle ScholarPubMed
Caro, JC, Corvalán, C, Reyes, M, et al. (2018) Chile’s 2014 sugar-sweetened beverage tax and changes in prices and purchases of sugar-sweetened beverages: an observational study in an urban environment. PLoS Med 15, e1002597.CrossRefGoogle Scholar
Teng, AM, Jones, AC, Mizdrak, A, et al. (2019) Impact of sugar-sweetened beverage taxes on purchases and dietary intake: systematic review and meta-analysis. Obes Rev 20, 11871204.CrossRefGoogle ScholarPubMed
World Health Organization (2021) Implementing School Food and Nutrition Policies: A Review of Contextual Factors (Internet). https://www.who.int/publications/i/item/9789240035072 (accessed 26 October 2023).Google Scholar
Avery, A, Bostock, L & McCullough, F (2015) A systematic review investigating interventions that can help reduce consumption of sugar-sweetened beverages in children leading to changes in body fatness. J Hum Nutr Diet 28, 5264.CrossRefGoogle ScholarPubMed