Analyzing Food Consumption Patterns in Rural Areas of Iran: Identifying Provinces with Standard and Homogeneous Consumption

Document Type : Research Article-en

Author

• M. Shabanzadeh-Khoshrody

Agricultural Planning, Economics and Rural Development Research Institute (APERDRI), Tehran, Iran

https://doi.org/10.22067/jead.2025.92120.1333

Abstract

Investigating food consumption patterns in rural areas of Iran is necessary to understand the state of food security and social health in the country. Identifying provinces with standard and homogeneous consumption patterns not only helps improve planning to meet food needs, but also can lead to the formulation of appropriate and effective policies to address issues related to nutrition and public health. This study examined: (i) the current food consumption patterns in rural areas of Iran in 2023, compared to the standard dietary pattern; (ii) the ranking of provinces based on the similarity of their dietary patterns to the standard; (iii) the identification of similar food consumption patterns across rural regions in different provinces; and (iv) the relationship between food consumption patterns and the infrastructural, economic, and social indicators of the provinces. The methodology of this study includes statistical analysis tools, such as TOPSIS method and k-means clustering technique. The results showed that the current dietary pattern of households in rural areas of Iran mainly consists of various types of cereals, providing more than 60% of an adult's daily calorie intake. Comparing, global scale, cereals provide 50% of daily calories intake, averagely, varying from 30% to 55% and 70% in high, middle, and low-income societies, respectively.  We found that food consumption in rural areas of Iran does not necessarily align with the standard pattern, meaning 28.4% lower food items than required in the standard basket, and 16% less than standard energy requirements. For instance, the consumption of bread was more than recommended level while the share of dairy products, fruits, and red meat, was 64.4%, 52.1%, and 50% lower than the recommended amount, respectively. While the dietary patterns in rural areas of six provinces - Chaharmahal and Bakhtiari, Markazi, Isfahan, Hamedan, Zanjan, and Mazandaran - satisfied the standard dietary. The converse evidence was observed for Hormozgan, Semnan, Kerman, North Khorasan, Ilam, and Sistan-Baluchestan. Between comparison of provinces confirmed (i) a heterogenous consumption pattern, mostly, dominated by five types of behavioral patterns; (ii) non-significant effect between consumption pattern and geographical distribution; (iii) a more desirable consumption pattern depending on more suitable infrastructure, economic, and social indicators. To deal with the undesirable consequences of calorie shortage and non-standard consumption pattern, this study suggests a comprehensive plan regulating supportive policies, public awareness, sustainable agriculture, and educational programs about nutrition and market access. Nutrition in rural regions is influenced by economic, regional, social, cultural, and individual factors, and improving dietary health necessitates addressing these interconnected elements.
 

Keywords

• Calorie intake
• Dietary preferences
• k-means clustering
• Rural households
• Standard food basket
• TOPSIS method

Main Subjects

• Agricultural Economics

©2025 The author(s). This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0).

References

1. Adelaja, A.O., Nayga, R.M., & Lauderbach, T.C. (1997). Income and racial differentials in selected nutrient intakes. American Journal of Agricultural Economics, 79(5), 1452-1460. https://doi.org/10.2307/1244360
2. Ahmadi Javid, M., Akbari, A., & Zeaei, M.B. (2014). Pattern of food products consumption in urban households of Sistan and Baluchistan province with emphasis on food security. Agricultural Economics Research, 6(23), 143-158.
3. Akerele, D. (2011). Intra‐household food distribution patterns and calorie inadequacy in South‐Western Nigeria. International Journal of Consumer Studies, 35(5), 545-551. https://doi.org/10.1111/j.1470-6431.2010.00981.x
4. Amjadi, A., & Barikani, E. (2020). Analyzing the food basket of rural households in Iran. Village and Development, 23(3), 127-151. https://doi.org/10.30490/rvt.2021.343078.1227
5. Bakshoodeh, M. (2005). A study of relationship between past and current food consumption patterns in rural areas of Iran. Agricultural Economics and Development, 13(2), 35-48. https://doi.org/10.30490/aead.2005.128573
6. Charaghi, M., Yeghaneh, B., & Eskandari Shahraki, Z. (2018). Analysis of geographic factors affecting the of rural households’ food security Case study: township of Zanjan. Geographical Engineering of Territory, 2(3), 47-58.
7. Facina, V.B., Fonseca, R.D.R., da Conceição-Machado, M.E.P., Ribeiro-Silva, R.D.C., Dos Santos, S.M.C., & de Santana, M.L.P. (2023). Association between socioeconomic factors, food insecurity, and dietary patterns of adolescents: a latent class analysis. Nutrients, 15(20), 4344. https://doi.org/10.3390/nu15204344
8. Forouhesh, G., & Soltani, S. (2024). Examining the changes in food consumption patterns of Iranian households from 1960s until now. Agricultural and Rural Economy, 2(2), 1-23. https://doi.org/10.30490/etr.2024.363056.1004
9. Galedarvand, H., Shirani Bidabadi, F., Rezaee, A., & Joolaie, R. (2024). Evaluation of factors affecting food security in rural areas of Iran. Agricultural and Rural Economy, 2(1), 31-50. https://doi.org/130490/etr.2024.366245.1023
10. Gebre, G.G. (2012). Determinants of food insecurity among households in Addis Ababa city, Ethiopia. Interdisciplinary Description of Complex Systems: INDECS, 10(2), 159-173. https://doi.org/10.7906/indecs.10.2.9
11. Ghaderi, R. (2024). Investigating food security and analyzing its challenges in rural areas (Case study: Villages of Bekshlochai county, Urmia County). Geographical Engineering of Territory, 8(1), 189-202. https://doi.org/10.22034/jget.2024.178354
12. Grünberger, K. (2014). Estimating food consumption patterns by reconciling food balance sheets and household budget surveys. Rome: Food and Agriculture Organization of the United Nations.
13. Hirvonen, K., & Hoddinott, J. (2017). Agricultural production and children's diets: Evidence from rural Ethiopia. Agricultural Economics, 48(4), 469-480. https://doi.org/10.1111/agec.12348
14. Jamini, D., Amini, A., Ghadermarzi, H., & Tavakoli, J. (2017). Measurement of food security and investigation of its challenges in rural areas (Case study: Badr district from Ravansar county). Regional Planning, 7(27), 87-102.
15. Liu, Y. (2021). Analysis and prediction of college students’ mental health based on K-means clustering algorithm. Applied Mathematics and Nonlinear Sciences, 7(1), 501-512.
16. Lourenção, L.F., Santos, P.R., de Oliveira, I.R.C., Fonseca, F.L.A., Draghi, P.F., de Castro Graciano, M.M., & Pereira-Dourado, S.M. (2021). Socioeconomic factors related to food consumption and the condition of food and nutrition insecurity in preschoolers. Nutrire, 46, 1-11. https://doi.org/10.1186/s41110-021-00146-4
17. Ludwig, T. (2018). An egg for an egg and a bean for a bean? How production diversity determines dietary diversity of smallholder farmers in rural India. ZEF-Discussion Papers on Development Policy, (247).
18. Luo, J. (2022). Application of k-means method based on SPSS in graphic design score analysis. In 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022) (pp. 453-459). Atlantis Press.
19. Mekonnen, D.A., Trijsburg, L., Achterbosch, T., Brouwer, I.D., Kennedy, G., Linderhof, V., & Talsma, E.F. (2021). Food consumption patterns, nutrient adequacy, and the food systems in Nigeria. Agricultural and Food Economics, 9(1), 16. https://doi.org/10.1186/s40100-021-00188-2
20. Nandi, R., Nedumaran, S., & Ravula, P. (2021). The interplay between food market access and farm household dietary diversity in low- and middle-income countries: a systematic review of literature. Global Food Security, 28, 100484. https://doi.org/10.1016/j.gfs.2020.100484
21. Okati, M., Ahmadpour Borazjani, M., & Sarani, V. (2020). Recognizing the factors affecting on food security in rural areas (Case study of villages in Zahak region in Sistan and Baluchestan province). Rural Development Strategies, 7(2), 199-209. https://doi.org/10.22048/rdsj.2020.243527.1865
22. Parsipoor, H., Hoseinzadh, A., & Agheli moghaddam, H. (2022). Ranking and analysis of the level of development of Iran's provinces. Geographical Engineering of Territory, 6(4), 751-766.
23. Rafati, M., Shabanzadeh-Khoshrody, M., & Javdan, E. (2021). Nutrient consumption, diversity and food security of the income deciles of Tehran province. Journal of Agricultural Economics and Development, 35(2), 147-160. https://doi.org/10.22067/jead.2021.69156.1019
24. Rastegaripour, F., Masahi, F., & Arbabi, A. (2021). Investigating the effect of economic and social factors on the consumption of rural households. Rural Development Strategies, 8(4), 447-459. https://doi.org/10.22048/rdsj.2021.244091.1869
25. Rostami, E., Taghdis, M.H., Dehdari, T., & Shirzad, M. (2016). Exploring household food consumption patterns in rural areas of Felard in Lordegan in 2015. Rahavard Salamat Journal, 1(2), 25-36.
26. Ruel, M.T., Garrett, J., Yosef, S., & Olivier, M. (2017). Urbanization, food security and nutrition. Nutrition and Health in a Developing World, 705-735. https://doi.org/10.1007/978-3-319-43739-2_32
27. Shabanzadeh-Khoshrody, M., Javdan, E., & Rafaati, M. (2023). Investigating the effect of exchange rate fluctuations on food consumption in rural areas of Iran. Agricultural Economics and Development, 31(3), 59-88. https://doi.org/10.30490/aead.2023.361801.1510
28. Shabanzadeh-Khoshrody, M., & Hosseini, S.S. (2021). Investigation of factors affecting the household food security in Tehran province of Iran. Agricultural Economics and Development, 29(3), 209-237. https://doi.org/10.30490/aead.2021.352428.1279
29. Shabanzadeh-Khoshrody, M., Javdan, E., & Heydari, R. (2024). Examining the pattern of food consumption and its influencing factors in urban areas of Iran. Journal of Applied Economics Studies in Iran, 13(51), 95-121. https://doi.org/10.22084/aes.2024.29340.3694
30. Sharify, N. (2022). Investigation the effects of the gasoline price increment policy and subsidy on consumer prices indices and welfare of households’, groups. QJER, 21(4), 181-200.
31. Sheibani, M., & Karbasi, A. (2020). Investigating the changes in food consumption patterns of rural households in Khorasan Razavi. Rural Development Strategies, 7(3), 239-252. https://doi.org/10.22048/rdsj.2021.242180.1862
32. Sheibani, M., Rastegaripour, F., & Mohtashami, T. (2020). Analysis of factors affecting dietary diversity of rural households in Khorasan Razavi province. Space Economy & Rural Development, 3(33), 189-209.
33. Shirani Bidabadi, F., & Ahmadi Kaliji, S. (2013). The Application of food diversity index for the examination of food security in Iranians rural areas. Village and Development, 16(2), 25-43. https://doi.org/10.30490/rvt.2018.59281
34. Sibhatu, K.T., & Qaim, M. (2018). Farm production diversity and dietary quality: linkages and measurement issues. Food Security, 10, 47-59. https://doi.org/10.1007/s12571-017-0762-3
35. Siddique, H.M.A., Mohey-ud-din, G., & Kiani, A. (2020). Human health and worker productivity: Evidence from middle-income countries. International Journal of Innovation, Creativity and Change, 14(11), 523-544.
36. Smed, S., Jensen, J.D., & Denver, S. (2007). Socio-economic characteristics and the effect of taxation as a health policy instrument. Food Policy, 32(5-6), 624-639. https://doi.org/10.1016/j.foodpol.2007.03.002
37. Snapp, S.S., & Fisher, M. (2015). Filling the maize basket” supports crop diversity and quality of household diet in Malawi. Food Security, 7, 83-96. https://doi.org/10.1007/s12571-014-0410-0
38. Statistical Centre of Iran. (2024). Data and statistical information. amar.org.ir.
39. Streeter, J.L. (2017). Socioeconomic factors affecting food consumption and nutrition in China: Empirical evidence during the 1989–2009 period. The Chinese Economy, 50(3), 168-192. https://doi.org/10.1080/10971475.2017.1297653
40. (2024). The state of food security and nutrition in the world 2024: Financing to end hunger, food insecurity and malnutrition in all its forms.
41. Usman, M.A., & Callo-Concha, D. (2021). Does market access improve dietary diversity and food security? Evidence from Southwestern Ethiopian smallholder coffee producers. Agricultural and Food Economics, 9(1), 18. https://doi.org/10.1186/s40100-021-00190-8
42. Variyam, J.N. (2003). Factors affecting the macronutrient intake of US adults.
43. Vaez Mahdavi, Z., Raghfar, H., Emami Jeze, K., & Haji Nabi, K. (2022). The effect of instability of bread price on household food security and mental health using agent-based simulation approach. Daneshvar Medicine, 29(6), 70-85. https://doi.org/10.22070/daneshmed.2021.15354.1139
44. Webb, P., & Kennedy, E. (2014). Impacts of agriculture on nutrition: nature of the evidence and research gaps. Food and Nutrition Bulletin, 35(1), 126-132. https://doi.org/10.1177/156482651403500113
45. Weil, K., Coulibaly, I., Fuelbert, H., Herrmann, A., Millogo, R.M., & Danquah, I. (2023). Dietary patterns and their socioeconomic factors of adherence among adults in urban Burkina Faso: a cross-sectional study. Journal of Health, Population and Nutrition, 42(1), 107. https://doi.org/10.1186/s41043-023-00451-w
46. Wen, P., Zhu, N., & Jia, M. (2024). Changes in food consumption and nutrition intake of rural residents in central China. Heliyon, 10(16). https://doi.org/10.1016/j.heliyon.2024.e36523
47. Yoon, K.P., & Hwang, C.L. (1995). Multiple attribute decision making: an introduction. Sage publications.
48. Yue, Z. (2011). A method for group decision-making based on determining weights of decision makers using TOPSIS. Applied Mathematical Modelling, 35(4), 1926-1936. https://doi.org/10.1016/j.apm.2010.11.001
49. Zanello, G., Shankar, B., & Poole, N. (2019). Buy or make? Agricultural production diversity, markets and dietary diversity in Afghanistan. Food Policy, 87, 101731. https://doi.org/10.1016/j.foodpol.2019.101731
50. Zhou, J., Leepromrath, S., & Zhou, D. (2023). Dietary diversity indices v. dietary guideline-based indices and their associations with non-communicable diseases, overweight and energy intake: evidence from China. Public Health Nutrition, 26(5), 911-933. https://doi.org/10.1017/S1368980022000556