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Socio-economic characteristics, generalized ordered logit model, nutritional adequacy, Household Food Security Survey Module, Food Consumption Score
This study provided a deep insight to what extent the socio-economic, demographic and nutritional characteristics of the households were related to different degrees of food insecurity by using the generalized ordered logit model. The cross-sectional data was collected from 391 urban households in Niğde province of Turkey by conducting face-to-face interviews. According to the study results, the households that were found to be more likely to exposure the food insecurity include households with unemployed and less educated household heads, households with low monthly income and low food expenditure per capita and households with a large size and with children. The study also provided new insights about nutritional adequacy of households in the context of food security. It was found that individuals who consumed protein-containing foods ever day had a 90% less risk of becoming food insecure than those who never or only sometimes consumed these foods. Similarly, it was found that individuals who sometimes consumed iron-containing foods had a 67% less risk of being food insecure than those who never consumed these foods. Policies for poverty reduction, enhancing employment opportunities, reducing of the cost of nutrient-rich foods along food supply chain and diversification of nutritious foods production could contribute to improve the food security status of households.
2. Food and Agricultural Organization (FAO). The state of food security and nutrition in the world. safeguarding against economic slowdowns and downturns. Rome. ISBN 978-92-5-131570-5. 2020.
3. Aragie T, Genanu S. Level and determinants of food security in North Wollo Zone (Amhara Region – Ethiopia). Journal of Food Security 2017; 5(6): 232-247.
4. Ihab AN, Rohana AJ, Wan M. Concept and measurements of household food insecurity and its impact on malnutrition: a review. International Medical Journal 2015; 22(6): 509-516.
5. Yousaf H, Zafar MI, Anjum F, Adil SA. 2018. Food security status and its determinants: a case of farmer and non-farmer rural households of the Punjab, Pakistan. Pak. J.Agri Sci 2018; 55(1):217-225.
6. Muhoyi E, Mukura TJ, Ndedzu D, Makova T, Munamati O. 2014. Determinants of household food security in Murehwa District, Zimbabwe. Journal of Economics and Suitable Development 2014; 5(3).
7. Farhadian A, Chan VSH, Farhadian H. Addressing household food insecurity using the Household Food Insecurity Access Scale (HFIAS) in a poor rural community in Sabah, Malaysia. Inter J of Humanities and Social Science Invention 2015; 4(8):89-100.
8. Dharmaraju N, Mauleshbhai SS, Arulappan N, Thomas B, Marconi DS, Paul SS, Mohan VR. Household food security in an urban slum: determinants and trends. J Family Med Prim Care 2018; 7(4): 819–822.
9. Ngema PZ, Sibanda M, Musemwa L. Household food security status and its determinants in Maphumulo Local Municipality, South Africa. Sustainability 2018; 10, 3307.
10. Pervaiz B, Ninghui L, Manzoor MQ, Altangerel O. Determinants of household food security in Punjab – Pakistan: a binary logistic regression analysis. World Applied Sciences Journal 2017; 35(7): 1021-1028.
11. Shumiye A. Determinants of food insecurity in rural households in Tehuludere Woreda, South Welo Zone of the Amnara Region. University of Adis-Ababa. 2007.
12. Zalilah MS, Khor GI. Household food insecurity and coping strategies in a poor rural community in Malaysia. Nutrition Research and Practice 2008; 2(1): 26-34.
13. Etana D, Tolossa D. Unemployment and food security in urban Ethiopia. African Development Review 2017; 29(1): 56-68.
14. Kedir AM, McKay A. Chronic poverty in urban Ethiopia: panel data evidence. International Planning Studies 2005; 10(1): 49–67.
15. Ciaian, P, Cupák A, Pokrivčák J, Rizov M. Food consumption and diet quality choices of Roma in Romania: a counterfactual analysis. Food Security 2018; 10: 437–456. https://doi.org/10.1007/s12571-018-0781-8
16. Turkish Statistical Institute (TURKSTAT). Population and demography statistics. 2020. http://www.turkstat.gov.tr/UstMenu.do?metod=kategorist. Accessed 20 March 2020.
17. Malhotra NK. Marketing research. Prentice Hall, New Jersey. 2004
18. Melgar-Quinonez H, Hackett M. Measuring household food security: the global experience. Rev. Nutr., 2008; Campinas, 21(Suplemento): 27-37.
19. Health Canada. The Household Food Security Survey Module (HFSSM). 2004. http://www.hc-sc.gc.ca/fn-an/surveill/nutrition/commun/insecurit/index-eng.php. Accessed 25 October 2020.
20. IPC-IG and UNICEF. Yemen National Social Protection Monitoring Survey (NSPMS): Technical Note No. 10. Generation of Food Consumption Score. 2013.
21. World Food Programme, Vulnerability Analysis and Mapping (WFP-VAM). Food consumption analysis: calculation and use of the food consumption score in food security analysis. Rome, Italy. 2008.
22. Bahta S, Wanyoike F, Katjiongua H, Marumo D. Characterisation of food security and consumption patterns among smallholder livestock farmers in Botswana. Agriculture and Food Security 2017; 6 (65): 2-11.
23. World Food Programme (WFP). The state of food security and nutrition in Yemen. Comprehensive Food Security Survey. 2012.
24. Williams R. Generalized ordered logit/partial proportional odds models for ordinal dependent variables. The Stata Journal 2006; 6 (1): 58-82.
25. Peterson B, Harrell FE. Partial proportional odds models for ordinal response variables. Applied Statistics 1990; 39(2): 205–217.
26. Birhane T, Shiferaw S, Hagos S, Mohindra KS. Urban food insecurity in the context of high food prices: a community-based cross-sectional study in Addis Ababa, Ethiopia. BMC Public Health, 2014;14: 680.
27. Alem Y. Poverty persistence and intra-household heterogeneity in occupations: evidence from urban Ethiopia. Oxford Development Studies 2015; 43(1):20–43.
28. Fryer D, Vencatachellum D. Returns to education in South Africa: Evidence from the Machibisa Township.” African Development Review 2005; 17(3): 513–35.
29. Ejigu L. Characteristics and determinants of youth unemployment in Ethiopia. Ethiopian Journal of Development Research 2011; 33(2): 43–77.
30. Ndobo F, Sekhampu TJ. Determinants of vulnerability to food security in a South African Township: a gender analysis. Mediterranean J of Social Sciences 2013; 4(14): 311.
31. Eştürk Ö, Ören MN. Impact of household socio-economic factors on food security: case of Adana. Pakistan Journal of Nutrition 2014;13 (1), 1-6.
32. Rudolph M, Kroll F, Ruysenaar S, Dlamini T. The state of food insecurity in Johannesburg. Cape Town: Queen’s University and AFSUN. Food Security Series, No.12. ISBN:978-1-920409-76-0. 2012.
33. Sekhamphu TJ. Association of food security and household demographics in a South African Township. Inter J of Social Sci and Humanity Studies 2017; 9(2):157-170.
34. Arene C, Anyaeji CR. Determinants of food security among households in Nsukka Metropolis of Enugu State, Nigeria. Pakistan Journal of Social Sci. 2010; 30(1): 9-16.
35. Kuku-Shittu O, Mathiassen A, Wadhwa A, Myles L, Ajibola A. comprehensive food security and vulnerability analysis: Nigeria. IFPRI Discussion Paper 01275. 44ps. 2013.
36. Sanogo I. Global food price crisis and household hunger: a review of recent food security assessments findings. Humanitarian Exchange Magazine. 2009.
37. Molano WL, Gulles AA, Espana MBNN, Nones CA, Tarrayo ER. Socio economic determinants of household food insecurity, Science and Technology Project, FNRIDOST. 2003.