Sociodemographic and Lifestyle Determinants of Household Consumption of Sugar-Sweetened Food in Malaysia: A Short Communication
DOI:
https://doi.org/10.32890/jes2020.2.1.2Keywords:
age, diabetes, food, household, sugar-sweetened foodAbstract
Diabetes has become a serious public health concern. The objective of the present study is to examine the sociodemographic and lifestyle factors associated with consumption of sugar-sweetened food among different age groups of households in Malaysia. A nationally representative data (n = 14838) is used for secondary analysis. Multiple regressions are used to examine the independent effects of sociodemographic and lifestyle factors on household expenditure on sugar-sweetened food. Analyse are stratified by age group. Households headed by older individuals tend to spend more on sugar-sweetened food than households headed by younger individuals. Household size is positively associated with household consumption of sugar-sweetened food. Bumiputera households spend more on sugar-sweetened food than non-Bumiputera households. Sociodemographic and lifestyle factors play an important role in determining consumption of sugar-sweetened food. Policy makers should pay special attention to the types of households that consume a lot of sugar-sweetened food.
References
Bleich, S. N. and Wang, Y. C. (2011). Consumption of sugar-sweetened beverages among adults with type 2 diabetes. Diabetes Care, 34(3), 551-555.
Cheah, Y. K., Abdul Adzis, A., Abu Bakar, J. and Applanaidu, S. D. (2019). Sociodemographic determinants of Malaysian household’s use of and expenditure on alcohol: A regional comparison. Drugs: Education, Prevention and Policy, DOI: 10.1080/09687637.2019.1587387.
Cheah, Y. K., Abdul Azis, A., Abu Bakar, J. and Applanaidu, S. D. (2018). Factors associated with consumption of sugar-sweetened foods and beverages in Malaysia: An ethnic comparison. International Journal of Diabetes in Developing Countries, DOI: 10.1007/s13410-018-0673-7
Cheah, Y. K. and Goh, K. L. (2017). Blood glucose screening among elderly Malaysians: Who to target? Journal of Diabetes, 9(1), 85-92.
Department of Statistics Malaysia (2014). Household Expenditure Survey 2014. Putrajaya: Department of Statistics Malaysia.
Friis, K., Lyng, J. I., Lasgaard, M. and Larsen, F. B. (2014). Energy drink consumption and the relation to socio-demographic factors and health behaviour among young adults in Denmark. A population-based study. European Journal of Public Health, 24(5), 840-844.
Grossman, M. (1972). On the concept of health capital and the demand for health. Journal of Political Economy, 80(2), 223-255.
Mullie, P., Aerenhouts, D. and Clarys, P. (2012). Demographic, socioeconomic and nutritional determinants of daily versus non-daily sugar-sweetened and artificially sweetened beverage consumption. European Journal of Clinical Nutrition, 66(2), 150-155.
Park, S., Onufrak, S., Blanck, H. M. and Sherry, B. (2013). Characteristics associated with consumption of sports and energy drinks among US adults: National Health Interview Survey, 2010. Journal of the Academy of Nutrition and Dietetics, 113(1), 112-119.
Park, S., Thompson, F. E., McGuire, L. C., Pan, L., Galuska, D. A. and Blanck, H. M. (2016). Sociodemographic and behavioral factors associated with added sugars intake among US adults. Journal of the Academy of Nutrition and Dietetics, 116(10), 1589-1598.
Pollard, C. M., Meng, X., Hendrie, G. A., Hendrie, D., Sullivan, D., Pratt, I. S., Kerr, D. A. and Scott, J. A. (2016). Obesity, socio-demographic and attitudinal factors associated with sugar-sweetened beverage consumption: Australian evidence. Australian and New Zealand Journal of Public Health, 40(1), 71-77.
Rehm, C. D., Matte, T. D., Wye, G. V., Young, C. and Frieden, T. R. (2008). Demographic and behavioural factors associated with daily sugar-sweetened soda consumption in New York city adults. Journal of Urban Health, 85(3), 375-385.
Tan, A. K. G., Yen, S. T. and Nayga, R. M. (2009). Factors affecting alcohol purchase decisions and expenditures: A sample selection analysis by ethnicity in Malaysia. Journal of Family and Economic Issues, 30(2), 149-159.
Tee, E. S. and Yap, R. W. K. (2017). Type 2 diabetes mellitus in Malaysia: Current trends and risk factors. European Journal of Clinical Nutrition, 71, 844-849.
Thompson, F. E., McNeel, T. S., Dowling, E. C., Midthune, D., Morrissette, M. and Zeruto, C. A. (2009). Interrelationships of added sugars intake, socioeconomic status, and race/ethnicity in adults in the United States: National Health Interview Survey, 2005. Journal of the American Dietetic Association, 109(8), 1376-1383. Journal of Economics and Sustainability
Wooldridge, J. (2013). Introductory econometrics: A modern approach, 5th ed. Ohio: South-Western Cengage Learning.
World Health Organization (2018). Diabetes: Fact sheet. https://www.who.int/news-room/fact-sheets/detail/diabetes. Accessed April 2, 2019.
Xu, F., Park, S. and Siegel, K. R. (2018). Factors associated with frequency of sugar-sweetened beverage consumption among US adults with diabetes or prediabetes. American Journal of Health Promotion, 32, 1489-1497.
Yen, S. T. and Jensen, H. H. (1996). Determinants of household expenditures on alcohol. Journal of Consumer Affairs, 30(1), 48-67.
Zytnick, D., Park, S., Onufrak, S. J., Kingsley, B. S. and Sherry, B. (2015). Knowledge of sugar content of sport drinks is not associated with sports drink consumption. American Journal of Health Promotion, 30(2), 101-108.
