Consumer’s preferences for healthy food consumption: An empirical analysis from Mymensingh city in Bangladesh
Abstract
Numerous non-communicable diseases are being caused by changes in food and lifestyle choices. However, the global trend of eating more healthful food is growing as people become more aware of their personal health. Nonetheless, not much scholarly work has been done on the perplexing purchasing habits of customers, especially in developing nations like Bangladesh. Hence, the purpose of this study was to determine the preference for healthy food consumption and the factors associated with consuming healthy food. The study was conducted on 140 participants selected by a purposive sampling technique from Mymensingh city. Data were collected through both face-to-face surveys and via email with the help of an e-questionnaire from May 2022 to August 2022. A five-point Likert scale was applied to assess the consumer’s preference for healthy food products. The internal consistency of the items on the scale was examined by Cronbach’s alpha. In addition, binary logistic regression was used to identify the factors that affect consumers’ decisions to consume healthy food products. The study findings provide evidence of the highly disfavored attitudes (82.86%) toward healthy food consumption among people in the study area. The analysis also reveals that factors like gender, age, education, and monthly income have a positive impact on consumption decisions, while distance from the market, occupation, family size, and credit negatively affect consumption decisions.
Keywords:
Bangladesh, Consumer preference, Healthy food, Mymensingh CityDownloads
References
Abdul R. H. (2009). Consumers intention and factors affecting green food consumption, Master Dissertation, University Putra Malaysia.
Afshin, A., Sur, P. J., Fay, K. A., Cornaby, L., Ferrara, G., Salama, J. S., Mullany, E. C., Abate, K. H., Abbafati, C., Abebe, Z., Afarideh, M., Aggarwal, A., Agrawal, S., Akinyemiju, T., Alahdab, F., Bacha, U., Bachman, V. F., Badali, H., Badawi, A., Nguyen, C. T. (2019). Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet, 393(10184), 1958-1972, https://doi.org/10.1016/S0140-6736(19)30041-8
Akter, S., Ali, S., Fekete-Farkas M., Fogarassy, C., & Lakner, Z. (2022). Why Organic Food? Factors Influence the Organic Food Purchase Intension in an Emerging Country (Study from Northern Part of Bangladesh). Resources, 12(1), 5.
Aprile, M. C., Caputo, V., & Nayga, R. M. (2012). Consumers, Valuation of Food Quality Labels: The Case of the European Geographic Indication and Organic Farming Labels. International Journal of Consumer Studies, 36(2), 158- 165.
Ares, G., & Gámbaro, A. (2007). Influence of gender, age and motives underlying food choice on perceived healthiness and willingness to try functional foods. Appetite, 49(1), 148-158.
Baker, L., Olsen L. W., & Sørensen T. I. (2007). Childhood body-mass index and the risk of coronary heart disease in adulthood. New England Journal of Medicine, 357(23), 2329-2337.
Beardsworth, A., Bryman, A., Keil, T., Goode, J., Haslam, C., & Lancashire, E. (2002) Women, men and food: The significance of gender for nutritional attitudes and choices. British ac Food Journal, 104(7), 470-491.
Candra, S., & Juliani, M. (2018). Impact of E-Service Quality and Customer Value on Customer Satisfaction in Local Brand. Binus Business Review, 9(2), 125-132, https://doi.org/10.21512/bbr.v9i2.4650
Carrillo, E., Varela, P., Salvador, A., & Fiszman, S. (2011). Main factors underlying consumers’ food choice: A first step for the understanding of attitudes toward “healthy eating”. Journal of Sensory Studies, 26(2), 85-95.
Cooke, L., & Wardle, J. (2005). Age and gender differences in children’s food preferences. British Journal of Nutrition, 93, 741-746.
Chirstopher, A. W., Glynn, T. T. & Nicole, J. O. (2011). Understanding U.S. Consumer Demand for Milk Production Attributes. Journal of Agricultural and Resource Economics, 36(2), 326-342.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334, https://doi.org/10.1007/BF02310555
Goldberg, L. R., & Strycker, L. A. (2002). Personality and eating habits: the assessment of food preferences in a large community sample. Personality and Individual Difference, 32, 49-65.
Griffith, M. (2015). Item Analysis with Cronbach's Alpha for Reliable Surveys. Available online, [Accessed October 28, 2022].
Habibie, I. Y., Brouwer, I., & Februhartanty, J. (2019). Eating behaviour of young female workers with low socioeconomic status in Malang City, East Java: a qualitative study. Malaysian Journal of Nutrition, 25, S75-S86.
Hasan, A. M., Smith, G., Rashid, M. H., Selim, M. A., & Rasheed, S. (2021). Promoting healthy foods among urban school children in Bangladesh: a qualitative inquiry of the challenges and opportunities. BMC Public Health, 21(1), 1-12.
Jamieson, S. (2004). Likert scales: how to (ab) use them. Medical Education, 38(12), 1217- 1218, https://doi.org/10.1111/j.1365-2929.2004.02012.x
Johansen, S. B., Næs, T. & Hersleth, M. (2011). Motivation for choice and healthiness perception of calorie-reduced dairy products.A cross-cultural study. Appetite, 56, 15-24.
Kabir, A., Miah, S., & Islam, A. (2018). Factors influencing eating behavior and dietary intake among resident students in a public university in Bangladesh: A qualitative study. PloS one, 13(6), e0198801.
Kubberød, E., Ueland, Ø., Rødbotten, M., Westad, F. & Risvik E. (2002). Gender-specific preferences and attitudes towards meat. Food Quality and Preference, 13, 285-294.
Lee, J. H., Robin A. E., & Helen (2011). Influence of food cost on diet quality and risk factors for chronic disease: a systematic review. Nutrition & Dietetics, 68(4), 248-261.
Likert, R. (1932). A Technique for the Measurement of Attitudes. Archives of Psychology, 140, 1–55.
Ljubičić, M., Matek Sarić, M., Colić Barić, I., Rumbak, I., Komes, D., Šatalić, Z., & Guiné, R. P. (2017). Znanja i stavovi potrošača o zdravoj prehrani u Hrvatskoj: presječno ispitivanje. Arhiv za higijenu rada i toksikologiju, 68(2), 153-158.
McLeod, S.A. (2019). Likert Scale Definition, Examples, and Analysis. Simply Psychology. Available online: <https://www.simplypsychology.org/likert-scale.html.>, [Accessed August 3, 2022].
Menrad K. (2003). Market and Marketing of Functional Food in Europe. Journal of Food Engineering, 56(2-3), 181-188, https://doi.org/10.1016/S0260-8774(02)00247-9
Moser, R. & Raffaelli, R. (2012). Consumer Preferences for Sustainable Production Methods in Apple Purchasing Behaviour: A Non-hypothetical Choice Experiment, International Journal of Consumer Studies, 36(2), 141-148.
Pontes, H. M., & Griffiths, M. D. (2015). Measuring DSM-5 Internet gaming disorder: Development and validation of a short psychometric scale. Computers in Human Behavior, 45, 137–143.
Pulina, M. (2010). Consumer Behaviour in the Credit Card Market: A Banking Case Study, International Journal of Consumer Studies, 35(1), 86-94.
Rezai, G., Teng, P. K., Mohamed, Z., & Shamsudin M. N. (2012). Consumers' awareness and buying intention towards green foods. African Journal of Business Management, 6(12), 4496-4503.
Reddy, S., & Anitha, M. (2015). Culture and its Influence on Nutrition and Oral Health. Biomedical and Pharmacology Journal, 8, 613-620.
Roberfroid, M. B. (2002). Global view on functional foods: European perspectives, The British Journal of Nutrition, 88 Suppl 2(S2), S133-8, https://doi.org/10.1079/BJN2002677
Sulaiman, Y. N. N. A. A., Bakar, N. N. A. A., Ismail, M. Y. S., Mat, N. K. N., & Musa, R. (2017). The function of marketing mix and consumer preferences on healthy food consumption among UUM students. International Journal of Economic Research, 14(19), 103-122.
Tarigan, N. L. L., Wijaya, P. S. M., Wahyuni,Y., & Jayaningrum, S. K. (2023). Factors Affecting Online Purchase Decisions in Generation Z in Indonesia, International Journal of Innovative Science and Research Technology, 8(4), 372-381.
Wądołowska, L., Babicz-Zielińska, E., & Czarnocińska, J. (2008). Food choice models and their relation with food preferences and eating frequency in the Polish population: POFPRES study. Food Policy, 33(2), 122-134.
Wardle, J., Haase, A.M., Steptoe, A., Nillapun, M., Jonwuitwes, K. & Bellisle F. (2004). Gender Differences in Food Choice: The Contribution of Health Beliefs and Dieting. Annals of Behavoiral Medicine, 27(2), 107-116
Willett, W., Rockström, J., Loken, B., Springmann, M., Lang, T., Vermeulen, S., Garnett, T., Tilman, D., DeClerck, F., Wood, A. (2019). Food in the Anthropocene: the EAT-Lancet Commission on healthy diets from sustainable food systems. Lancet, 393(10170), 447-492, https://doi.org/10.1016/S0140-6736(18)31788-4
Vabø, M., & Hansen, H. (2014). The relationship between food preferences and food choice: a theoretical discussion. International Journal of Business and Social Science, 5(7).
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