Measuring Rural Households' Food Consumption Pattern Using Hdds : a Case of Mopani District Municipality, Limpopo Province, South Africa

• Autorzy: Rudzani Nengovhela , Abenet Belete , Jan Johannes Hlongwane , Isaac Busayo Oluwatayo
• Języki publikacji: EN

Abstrakty

EN

Inadequate consumption of nutritious food is still a challenge in most rural areas in the African continent, as the majority of households are in between jobs. This leads to rural households not having stable jobs, which affects their in -come, and results in their inability to acquire nutritious food because the level of income influences households' dietary diversity and quality. This study aimed to measure household food consumption patterns using the Household Dietary Diversity Score (HDDS), with food groups over a recall period of seven days in the rural households of Mopani District Municipality. The study estimated the determinants of rural house-holds' dietary diversity. The sample size of the study was 173 rural households, where the sample size was determined using a multi-stage sampling procedure and proportional random sampling to select rural households in Mopani District Municipality. Descriptive statistics results indicated that a majority of rural households have a high dietary diversity status, with the average HDDS of food consumption being 80.26%. Regarding the regression results, household income, gender, level of education and the use of a home garden suggested a positive influence of rural households in attaining high dietary diversity. (original abstract)

Słowa kluczowe

EN

Food; Village; Rural areas; Income

PL

Żywność; Wieś; Obszary wiejskie; Dochody

• Czasopismo: Journal of Agribusiness and Rural Development
• Rocznik: 2022
• Numer: z. 1 (63)
• Strony: 15--24

Twórcy

autor

Rudzani Nengovhela

• University of Limpopo, South Africa

autor

Abenet Belete

• University of Limpopo, South Africa

autor

Jan Johannes Hlongwane

• University of Limpopo, South Africa

autor

Isaac Busayo Oluwatayo

• University of Venda, South Africa

Bibliografia

• Bayaga, A. (2010). Multinomial logistic regression: usage and application in risk analysis. J. Appl. Quant. Method., 5(2), 288-297.
• Chegere, M.J., Stage, J. (2020). Agricultural production diversity, dietary diversity and nutritional status: Panel data evidence from Tanzania. World Dev., 129, 104856.
• Cordero-Ahiman, O.V., Vanegas, J.L., Franco-Crespo, C., Beltrán-Romero, P., Quinde-Lituma, M.E. (2021). Factors That Determine the Dietary Diversity Score in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador. Int. J. Env. Res. Publ. Health, 18(4), 2059.
• De Cock, N., D'Haese, M., Vink, N., Van Rooyen, C.J., Staelens, L., Schönfeldt, H.C., D'Haese, L. (2013). Food security in rural areas of Limpopo province, South Africa. Food Sec., 5(2), 269-282.
• Drammeh, W., Njie, B., Hamid, N.A., Rohana, A.J. (2020). Determinants of dietary diversity among households in central river region south, the Gambia. Curr. Res. Nutr. Food Sci. J., 8(2), 656-666.
• Gina, K., Terri, B., Marie, C.D. (2010). Guidelines for measuring household and individual dietary diversity. Nutrition and Consumer Protection Division. Food and Agriculture Organization of the United Nations.
• Govender, L., Pillay, K., Siwela, M., Modi, A., Mabhaudhi, T. (2017). Food and nutrition insecurity in selected rural communities of KwaZulu-Natal, South Africa - Linking human nutrition and agriculture. Int. J. Env. Res. Public Health, 14(1), 17.
• Gujarati, D. (2002). Essentials of econometrics. New York: McGraw Hill.
• Huluka, A.T., Wondimagegnhu, B.A., Yildiz, F. (2019). Determinants of household dietary diversity in the Yayo biosphere reserve of Ethiopia: An empirical analysis using sustainable livelihood framework. Cogent Food Agric., 5, 1690829.
• Hirvonen, K., Headey, D. (2018). Can governments promote homestead gardening at scale? Evidence from Ethiopia. Global Food Sec., 19, 40-47.
• Jebessa, G.M., Sima, A.D., Wondimagegnehu, B.A. (2019). Determinants of household dietary diversity in Yayu Biosphere Reserve, Southwest Ethiopia. Ethiop. J. Sci. Technol., 12(1), 45-68.
• Kothari, C.R. (2004). Research methodology: Methods and techniques. New Age International.
• Mayén, A.L., Marques-Vidal, P., Paccaud, F., Bovet, P., Stringhini, S. (2014). Socioeconomic determinants of dietary patterns in low-and middle-income countries: a systematic review. Am. J. Clinic. Nutr., 100(6), 1520-1531.
• Mayekiso, A., Taruvinga, A., Mushunje, A. (2017). Rural Household Food Security Status among Indigenous Leafy Vegetables Producers and Non Producers: Evidence from Coffee Bay, South Africa. J. Adv. Agric. Technol., 4(2), 190-195.
• Mekuria, G., Wubneh, Y., Tewabe, T. (2017). Household dietary diversity and associated factors among residents of finote selam town, northwest. Ethiopia: a cross sectional study. BMC Nutr., 3(1), 1-6.
• Ochieng, J., Afari-Sefa, V., Lukumay, P.J., Dubois, T. (2017). Determinants of dietary diversity and the potential role of men in improving household nutrition in Tanzania. PLoS ONE, 12, e0189022.
• Ruel, M.T. (2003). Operationalizing dietary diversity: A review of measurement issues and research priorities. J. Nutr., 3911S-3926S.
• Singh, J.K., Acharya, D., Gautam, S., Adhikari, M., Park, J.-H., Yoo, S.-J., Lee, K. (2019). Socio-demographic and diet-related factors associated with insufficient fruit and vegetable consumption among adolescent girls in rural communities of Southern Nepal. Int. J. Environ. Res. Public Health, 16, 2145.
• Statistics South Africa (2019). Towards measuring the extent of food security South Africa: an examination of hunger and food inadequacy. Pretoria, South Africa.
• Taruvinga, A., Muchenje, V., Mushunje, A. (2013). Determinants of rural household dietary diversity: The case of Amatole and Nyandeni districts, South Africa. Int. J. Dev. Sustain., 2(4), 2233-2247.

Identyfikatory

DOI

10.17306/J.JARD.2022.01513