Healthy Food Choice in Thailand: An Investigation into Illness Knowledge and Sociodemographics

Kua Wongboonsin¹, Surat Teerakapibal^2, and Pavitra Jindahra¹

¹Sasin Graduate Institute of Business Administration of Chulalongkorn University, Bangkok, Thailand

²Thammasat Business School, Thammasat University, Bangkok, Thailand

Cite this paper:
Kua Wongboonsin, Surat Teerakapibal and Pavitra Jindahra. Healthy Food Choice in Thailand: An Investigation into Illness Knowledge and Sociodemographics. Journal of Food and Nutrition Research. 2018; 6(6):414-418. doi: 10.12691/jfnr-6-6-10

Abstract

You are what you eat. Food choices have been found to have effects on people and their diseases. Given plain taste, healthy food choices are less popular. This study aimed to investigate relevant factors of healthy food-choice decisions among healthy and unhealthy consumers. We examined the impact of awareness of health conditions (illness knowledge) and sociodemographics on food-consumption behavior using logistic regression models. Empirical results showed that consumers place taste as the key determinant when making food-consumption decisions. Men are more inclined towards unhealthy food choices than women. Ageing helps sway consumers to eat more plain food. Illness knowledge influences consumer preferences towards a healthier option, the plain taste food. However, illness knowledge has less influence on educated consumers and older consumers who exhibit strong fixation on tasty food preference. Education helps consumers form healthy food preferences rather than alters existing preferences towards healthy food choices. In promoting healthy food choices, awareness of health status becomes a vital factor. Health checkup campaign is therefore encouraged, supporting consumers to wisely consider healthier food choices.

Keywords:
food choice plain taste healthy food consumption illness knowledge consumer wellbeing

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References:

[1]	United Nations, World Population Prospects: The 2015 Revision, 2015.
[2]	United Nations, World Population Ageing, 2015.
[3]	Khor, G.L., Nutrition and cardiovascular disease: an Asia Pacific perspective, Asia Pacific Journal of Clinical Nutrition, 6. 122-142. 1997.
[4]	Khor, G.L., Cardiovascular epidemiology in the Asia-Pacific region, Asia Pacific Journal of Clinical Nutrition, 10 (2). 76-80. 2001.
[5]	Yamori, Y., Miura, A. and Taira, K., Implications from and for food cultures for cardiovascular diseases: Japanese food, particularly Okinawan diets, Asia Pacific Journal of Clinical Nutrition. 10 (2). 144-145. 2001.
[6]	Yamori, Y., Nara, Y., Mizushima, S., Mano, M., Sawamura, M., Kihara, M. and Horie, R., International cooperative study on the relationship between dietary factors and blood pressure. A report from cardiovascular diseases and alimentary comparison (CARDIAC) study, Journal of Cardiovascular Pharmacology, 16. 43-47. 1990.
[7]	Yamori, Y. and Nara, Y., Gene environment interaction in hypertension, stroke and atherosclerosis in experimental models and supportive finding form a world-wide corss-sectional epidemiological survey. A WHO-CARDAC study, Clinical Experimental Pharmacology Physiology, 20. 43-52. 1992.
[8]	Yamori, Y., WHO-CARDIAC study: Its implications for heart health in the world, Canadian Journal of Cardiology, 9. 31-33. 1993.
[9]	Cho, H., Kim, S.M., Jeong, S.S. and Kim, S.B., Comparison of salt taste thresholds and salt usage behaviours between adults in Myanmar and Korea, Asia Pacific Journal of Clinical Nutrition, 25 (4). 879-884. 2016.
[10]	Brown, I.J., Tzoulaki, I., Candeias, V. and Elliot, P., Salt intakes around the world: implications for public health, International Journal of Epidemiology, 38. 791-813. 2009.
[11]	Krishnan, A., Garg, R. and Kahandaliyanage, A., Hypertension in the South-East Asia Region: an overview, Regulatory Health Forum, 17. 7-14. 2013.
[12]	Kim, H.J., Kim, Y., Cho, Y., Jun, B. and Oh, K.W., Trends in the prevalence of major cardiovascular disease risk factors among Korean adults: results from the Korea National Health and Nutrition Examination Survey, 1998-2012, International Journal of Cardiology, 174. 64-72. 2014.
[13]	Gunnars, K., 20 Foods that are bad for your health (avoid them!), Authority Nutrition, [cited 2017/1/1]; Available from: https://authoritynutrition.com/20-foods-to-avoid-like-the-plague/
[14]	Vos, M.B. and Lavine, J.E., Dietary fructose in nonalcoholic fatty liver disease, Hepatology, 57 (6). 2525-31. 2013.
[15]	Schulze, M.B., Manson, J.E., Ludwig, D.S., Colditz, G.A., Stampfer, M.J., Willett, W.C. and Hu, F.B., Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women, JAMA, 292 (8). 927-34. 2004.
[16]	Yang, Q., Zhang, Z., Gregg, E.W., Flanders, W.D., Merritt, R. and Hu, F.B. Added sugar intake and cardiovascular diseases mortality among US adults, JAMA International Medicine, 174 (4). 516-24. 2014.
[17]	Wardle, J., Haase, A.M., Steptoe, A., Nillapun, M., Jonwutiwes, K. and Bellisie, F., Gender differences in food choice: The contribution of health beliefs and dieting, Annals of Behavioral Medicine, 27 (2). 107-116. 2004.
[18]	Glanz, K., Basil, M., Maibach, E., Goldberg, J. and Snyder, D., Why americans eat what they do: taste, nutrition, cost, convenience, and weight control concerns as influences on food consumption, Journal of the American Dietetic Association, 98 (10). 1118-26. 1998.
[19]	Bagordo, F., Grassi, T., Serio, F., Idolo, A. and DeDonno, A., Dietary habits and health among university students living at or away from home in southern Italy, Journal Of Food & Nutrition Research, 52 (3). 164-171. 2013.
[20]	Sobal, J. and Bisogni, S., Constructing Food Choice Decisions, Annals of Behavioral Medicine, 38 (S1). 37-46. 2009.
[21]	Anderson, E.S., Winett, R.A. and Wojcik, J.R. Self-regulation, self-efficacy, outcome expectation, and social support: Social cognitive theory and nutrition behavior, Annals of Behavioral Medicine, 34 (3). 304-312. 2007.
[22]	Gallagher, K.M. and Updegraff, J.A., Health message framing effects on attitudes, intentions, and behavior: A meta-analytic review, Annals of Behavioral Medicine, 43 (1). 101-116. 2012.
[23]	European Food Information Council, Global Update on Nutrition Labelling, [cited 2017/1/1]; Available from http://www.eufic.org/upl/1/default/doc/ExecutiveSummary.pdf
[24]	Agresti, A., Categorical Data Analysis, John Wiley & Sons, New York, 2002.
[25]	Allison, P.D., Logistic Regression Using the SAS System: Theory and Application, SAS Institute Inc., Cary, NC, 1999.
[26]	Collett, D., Modeling Binary Data, Chapman & Hall, London, 2003.
[27]	Cox, D.R. and Snell, E.J., The Analysis of Binary Data, Chapman & Hall, London, 1989.
[28]	Hosmer, D.W. Jr. and Lemeshow, S., Applied Logistic Regression, John Wiley & Sons, New York, 2000.
[29]	Stokes, M.E., Davis, C.S. and Koch, C.G., Categorical Data Analysis Using the SAS System, SAS Institute Inc., Cary, NC, 2000.