Socioeconomic Determinants of Dietary Diversity among Rural Households in Jaunpur District of Uttar Pradesh, India


  • S. K. Singh Department of Mathematical Demography and Statistics, International Institute for Population Sciences, Maharashtra, India
  • Gudakesh Ministry of Health and Family Welfare, New Delhi
  • Deepanjali Vishwakarma International Institute for Population Sciences, Maharashtra, India



Households, Dietary Diversity, Dietary Diversity Score and Food Security


Inadequate nutritional consumption is one of the decisive factors for weak immunity, a higher probability of various diseases and infections, weak mental and physical growth, and less working capability. The present study was conducted to assess the dietary diversity pattern and its correlates in a rural setting of Jaunpur, Uttar Pradesh, India. A cross-sectional household survey was conducted during August-November 2017, among 316 households. Women from these households were interviewed to know the variety of foods consumed in the past 24 hours. Descriptive statistics and ordinal logistic regression analysis have been used to meet the objective of the study. Results portray that, about 14 percent of the households were in the category of low dietary diversity, and 58 percent were under medium dietary diversity. A higher proportion of SCs and poor households were more prone to have low dietary diversity. Landless households or less than one bigha of agricultural land and household without livestock or less number of livestock were more prone to low dietary diversity. Results of ordered logistic regression analysis confirm that caste, working status of heads, family type, socioeconomic status of the household, agricultural land, and livestock showed a significant association with the dietary diversity pattern of households. There is a necessity for the informed rural population on the importance of a diverse diet to improve nutrient consumption and to achieve food and nutrition security. National or regional level surveys will be helpful to understand the food related challenges in India.


Ministry of Statistics and Programme Implementation &The World Food Programme. (2019). Food and Nutrition Security Analysis, India, 2019

World Health Organization. (2019). UNICEF-WHO low birthweight estimates: levels and trends 2000-2015 (No. WHO/NMH/NHD/19.21). United Nations Children‘s Fund ( UNICEF).

Gross, R., Schoeneberger, H., Pfeifer, H., &Preuss, H. J. (2000). The four dimensions of food and nutrition security: definitions and concepts. SCN News, 20, 20-25.

Ruel, M., Graham, J., Murphy, S., & Allen, L. (2004). Validating simple indicators of dietary diversity and animal source food intake that accurately reflect nutrient adequacy in developing countries. Report submitted to GL-CRSP.

Savy, M., Martin-Prével, Y., Sawadogo, P., Kameli, Y., &Delpeuch, F. (2005). Use of variety/diversity scores for diet quality measurement: relation with nutritional status of women in a rural area in Burkina Faso. European journal of clinical nutrition, 59(5), 703-716.

Kennedy, G. L., Pedro, M. R., Seghieri, C., Nantel, G., &Brouwer, I. (2007). Dietary diversity score is a useful indicator of micronutrient intake in non-breast-feeding Filipino children. The Journal of nutrition, 137(2), 472-477.

Ruel, M. T. (2002). Is dietary diversity an indicator of food security or dietary quality? (No. 140). International Food Policy Research Institute (IFPRI).

Hatløy, A., Torheim, L. E., &Oshaug, A. (1998). Food variety—a good indicator of nutritional adequacy of the diet? A case study from an urban area in Mali, West Africa. European Journal of Clinical Nutrition, 52(12), 891-898.

Ogle, B. M., Hung, P. H., &Tuyet, H. T. (2001). Significance of wild vegetables in micronutrient intakes of women in Vietnam: an analysis of food variety. Asia Pacific journal of clinical nutrition, 10(1), 21-30.

Hoddinot J. &Yohannes Y. (2002): ―Dietary Diversity as A Food Security Indicator‖, International Food Policy Research Institute (IFPRI), Food Consumption and Nutrition Division, Discussion Paper No. 136.

Ochola, S., &Masibo, P. K. (2014). Dietary intake of schoolchildren and adolescents in developing countries. Annals of Nutrition and Metabolism, 64(Suppl. 2), 24-40.

Fulton, S. L., McKinley, M. C., Young, I. S., Cardwell, C. R., & Woodside, J. V. (2016). The effect of increasing fruit and vegetable consumption on overall diet: a systematic review and meta-analysis. Critical reviews in food science and nutrition, 56(5), 802-816.

Schwingshackl, L., Bogensberger, B., & Hoffmann, G. (2018). Diet quality as assessed by the healthy eating index, alternate healthy eating index, dietary approaches to stop hypertension score, and health outcomes: an updated systematic review and meta-analysis of cohort studies. Journal of the Academy of Nutrition and Dietetics, 118(1), 74-100.

Labadarios, D., Steyn, N. P., &Nel, J. (2011). How diverse is the diet of adult South Africans?. Nutrition journal, 10(1), 33.

DeleuzeNtandouBouzitou, G., Fayomi, B., &Delisle, H. (2005). Child malnutrition and maternal overweight in same households in poor urban areas of Benin. Sante, 15(4), 263-270.

Truthmann, J., Richter, A., Thiele, S., Drescher, L., Roosen, J., &Mensink, G. B. (2012). Associations of dietary indices with biomarkers of dietary exposure and cardiovascular status among adolescents in Germany. Nutrition & metabolism, 9(1), 92.

Azadbakht, L., Mirmiran, P., Esmaillzadeh, A., &Azizi, F. (2006). Dietary diversity score and cardiovascular risk factors in Tehranian adults. Public health nutrition, 9(6), 728-736.

FAO, IFAD, WFP, "The State of Food Insecurity in the World: Meeting the 2015 international hunger targets: taking stock of uneven progress," 2015.

Swindale, A., &Bilinsky, P. (2006). Household dietary diversity score (HDDS) for measurement of household food access: indicator guide. Washington, DC: Food and Nutrition Technical Assistance Project, Academy for Educational Development.

Kennedy, G., Ballard, T., & Dop, M. C. (2011). Guidelines for measuring household and individual dietary diversity. Food and Agriculture Organization of the United Nations.

Filmer, D., & Pritchett, L. H. (2001). Estimating wealth effects without expenditure data—or tears: an application to educational enrollments in states of India. Demography, 38(1), 115-132.

McCullagh, P. (1980). Regression models for ordinal data. Journal of the Royal Statistical Society: Series B (Methodological), 42(2), 109-127.

Ruel, M. T. (2003). Operationalizing dietary diversity: a review of measurement issues and research priorities. The Journal of nutrition, 133(11), 3911S-3926S.

Drescher, L. S., Thiele, S., &Mensink, G. B. (2007). A new index to measure healthy food diversity better reflects a healthy diet than traditional measures. The Journal of nutrition, 137(3), 647-651.

Moursi, M. M., Arimond, M., Dewey, K. G., Treche, S., Ruel, M. T., &Delpeuch, F. (2008). Dietary diversity is a good predictor of the micronutrient density of the diet of 6-to 23-month-old children in Madagascar. The Journal of Nutrition, 138(12), 2448-2453.

Sarkar, S. A. N. J. I. T. (2014). Households’ Dietary Diversity: A Study of Rural Households in West Bengal, India. EurAcad Res, 2(6).



How to Cite

Singh, S. K., Gudakesh, & Vishwakarma, D. (2020). Socioeconomic Determinants of Dietary Diversity among Rural Households in Jaunpur District of Uttar Pradesh, India. Asian Journal of Agriculture and Food Sciences, 8(3).