Assessment of the Effect of Covid-19 Pandemic Lockdown Dietary Diversity among Urban Households in Jos, Plateau State, Nigeria
DOI:
https://doi.org/10.24925/turjaf.v11i4.823-829.5548Keywords:
Covid-19 lockdown, Dietary Diversity, Urban Households, Plateau State, NigeriaAbstract
Dietary diversity became a global concern in improving health conditions through the habit of food group consumption by adding health dimension to the issue of food calorie consumption. Access to nutritionally adequate and good quality diet is essential to human health, productivity and work output. However, despite the various concerns by governments all over the world on ensuring that every household can at least provide three square meals per day, food insecurity continues to be a major development problem across the globe. This study assessed the effect of COVID-19 pandemic lockdown on households’ dietary diversity in Jos Metropolis, Plateau State, Nigeria. A multistage sampling technique was used to select 265 households. Data was collected using well-structured questionnaire. The analytical techniques were; Descriptive statistics, Dietary Diversity index and Z-Statistics Test. Gender, age, household size, education, marital status, cooperative membership and access to credit were the socioeconomic characteristics described. Result indicate that 86% of the households had low food dietary diversity while 14% of the households had high food dietary diversity before and after the pandemic lockdown. Similarly, 18% of the households had low calorie consumption while 82% of the households had high dietary diversity before and after the pandemic lockdown. Cereals, legumes/grains, oils/fat, roots and tubers, sugar and honey and meats were the most common food consumed by the households daily before and after the COVID-19 pandemic lockdown. Result further indicate that the pandemic lockdown had effect on the dietary diversity and food consumption patterns of the urban households. It can be concluded that the understanding of the effect of the COVID-19 pandemic lockdown on dietary diversity and food consumption patterns of households is important in developing policy measures such as social safety nets, home feeding programmes, the school feeding programme, conditional cash transfers schemes and improved marketing channels that will help mitigate against households falling into food insecurity during similar pandemic in the future.
References
Abubakar MI. 2010. Analysis of Cowpea Production under the National Programme on Food Security in Argungu Local Government Area of Kebbi State, Nigeria. Nigerian Journal of Basic and Applied Sciences, 16(2): 31- 42.
Agboola PO. 2004. Analysis of Food Insecurity and Coping Strategies among Farming Household in Osun State. Unpublished PhD Thesis. University of Ibadan, Nigeria.
Arimond M, Ruel M. 2004. Dietary Diversity is Associated with Child Nutritional Status:
Evidence from 11 Demographic and Health Surveys 2004., Journal of Nutrition, 13 (4): 2579-2585.
Egwue OL, Agbugba IK, Mukaila R. 2020. Assessment of Rural Households Food Insecurity during Covid-19 Pandemic in South-East Nigeria. International Journal of Research Granthaalayah, 8(12): 182-194. https://doi.org/10.29121/ granthaalayah.v8.i12.2020.2713.
Ewodage R. 2020. COVID-19: How We Plan to Implement Social Distancing in Lagos Markets, Transport System Sanwo Olu.https://www.channelstv.com/2020/03/22/covid19 -how-we – plan - to- implement- social distancing-in-Lagos-markets-transport-system Downloaded 26/2/2021
Food and Agriculture Organization (FAO). 2002. The State of Food Insecurity in the World 2001. Food and Agriculture Organization, Rome
Food and Agriculture Organization (FAO). 2009. Declaration of the World Food Summit on Measuring Food Security Using Household Expenditure Surveys. Food Security in Practice technical guide series Washington, D.C. International Food Policy Research Institute. Food Security. FAO, Rome.
Food and Agriculture Organization (FAO). 2020. Anticipating the Impacts of COVID-19 in Humanitarian and Food Crisis Contexts. Rome. https://doi.org/10.4060/ca8464en Downloaded 18/2/2020
Food and Agriculture Organization (FAO). 2007. Comprehensive Food Security and Vulnerability Analysis (CFSVA). West Bank and Gaza strip.
Food Security Magazine 2006. Summit on Food Security in Africa. Good Governance Sustainable Food Security, Pp. 3-5.
Foster-Greer J, Thorbecke, E. 1986. A Methodology for Measuring Food Poverty Applied to Kenya. Journal of Development Economics, 24: 59–74.
Global Hunger Index (GHI). 2020. Global, Regional, and National Trends - Global Hunger Index - Peer-Reviewed Annual Publication Designed to Comprehensively Measure and Track Hunger at the Global, Regional, and Country Levels. Global Hunger Index. https://www.globalhun gerindex.org/results.html
Hirvonen K, Belay M, Bart M, Seneshaw T. 2020. Food Marketing Margins during the COVID-19 Pandemic: Evidence from Vegetables in Ethiopia. International Food Policy Research Institute-Ethiopia Strategy Support Program working paper no. 150. https://www.who.int/nutrition/ nlis_interpretation_guide.pdf
Idachaba FS. 2006. Good Intentions are not Enough. Collected Essays on Government and Nigerian Agriculture. The Agricultural Policy Process. University Press PLC., 1: 12-14.
Johns T, Sthapit BR. 2004. Biocultural diversity in the sustainability of developing country food systems. Food and Nutrition Bulletin 25(2): 143-155.
Kennedy G, Nadia F, Chiara SI, Brouwer D. 2009. Dietary Diversity as a Measure of the Micronutrient Adequacy of Women’s Diets: Results from Bamako, Mali Site. Washington, DC. Food and Nutrition Technical Assistance II Project, FHI 360.
Kerlingcr FN. 1973. Foundations of behavioral research. New York: Holt, Rinehart and Winston, Inc.
Metu AG, Okeyika KO, Maduka OD. 2016. Achieving sustainable food security in Nigeria: Challenges and way forward. 3rd International Conference on African Development Issues (CUICADI 2016). Retrieved from http://eprints.covenantuniversity.edu.ng/6653/1/icadi 16pp182-187.pdf.
Moore LJ. 2000. Shoreline mapping techniques. Global Hunger Index (GHI), 2020. Global, Regional, and National Trends - Global Hunger Index - Peer-Reviewed Annual Publication Designed to Comprehensively Measure and Track Hunger at the Global, Regional, and Country levels. Global Hunger. Journal of Coastal Research 16(1):111-124.
National Bureau of Statistics (NBS). 2012. Socio-economic Survey on Nigeria. First Quarter Report, NBS, Abuja, Nigeria.
National Population Commission (NPC). 2006. Population and Housing Census of the Federal Republic of Nigeria, Volume 2, Federal Government Printers, Lagos.
Nigeria Centre for Disease Control (NCDC). 2020. COVID-19 guidance for safe mass gatherings in Nigeria. www.covid19.ncdc.gov.ng
Osuala EC. 2005. Introduction to Research Methodology (3rd Edition, Nigeria: African ANA- FEP Publishers Limited.
Ruel MT. 2002. Is dietary diversity an indicator of food security or dietary quality? A review of measurement issues and research needs, Food Consumption and Nutrition, Discussion Paper No. 140.
Ruel MT. 2006. Can Food-Based Strategies Help Reduce Vitamin A and Iron Deficiencies? A Review of Recent Evidence. Food Policy Review 5. 2001. Washington, D.C.: International Food Policy Research Institute.
Savy M, Martin-Prevel Y, Sawadogo P, Kameli Y, Delpeuch F. 2005. Use of variety/diversity scores for dietary quality measurement: relation with nutritional status of women in a rural area in Burkina Faso. European Journal of Clinical Nutrition 59 (5):703-716.
Smith LC, Ali S. 2007. Measuring Food Security Using Household Expenditure Surveys. Food Security in Practice. Technical Guide Series Washington, D.C. International Food Policy Research Institute
Swindale A, Bilinsky, P. 2006. Household Dietary Diversity Score(HDDS) for Measurement of Household Food Access: Indicator Guide. Washington, D.C. Food and Nutrition Technical Assistance Project, Academy for Educational Development Available at: http://www.fantaproject.org/sites/ default/files/resources/HDDS_v2_Sep06_0.pdf
Varrella S. 2020. Coronavirus (COVID-19) in Italy: Statistics and Facts. https: // www.statista. com/ topics/6061/coronavirus –covid -19-in-italy/.
Wang Y, Di Y, Ye, J, Wei W. 2020, Study on the Public Psychological States and its Related Factors During the Outbreak of Coronavirus Disease 2019 (COVID-19) in Some Regions of China. Psychol. Health Med. 30, 1–10. doi: 10.1080/13548506.2020.1746817
World Health Organization (WHO). 2020. Coronavirus disease 2019 (COVID-19) Situation Report - 90. Geneva WHO.www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports.
Worldometer 2020. COVID-19 Coronavirus Pandemic. Dover, Delaware. Available at: www.worldometers.info/coronavirus/ Downloaded 26/2/2021
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