Volume 5, Issue 4 (Nov 2020)                   JNFS 2020, 5(4): 345-352 | Back to browse issues page


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Opeyemi A O, Kindness Lovely O, Adebukola Tolulope O. Assessing the Household Food Insecurity Status and Coping Strategies in Abeokuta, Ogun State, Nigeria. JNFS 2020; 5 (4) :345-352
URL: http://jnfs.ssu.ac.ir/article-1-307-en.html
Nutrition and Dietetics Department, Federal University of Agriculture, Abeokuta, Nigeria.
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Assessing the Household Food Insecurity Status and Coping Strategies in Abeokuta, Ogun State, Nigeria
 
Akinbule Oluwafunke Opeyemi; MSc *1, Okekhian Kindness Lovely; BSc1 &
Omidiran Adebukola Tolulope; PhD2
 
  1. Nutrition and Dietetics Department, Federal University of Agriculture, Abeokuta, Nigeria.
2 Food Sciences and Technology Department, Federal University of Agriculture Abeokuta, Nigeria.
 
ARTICLE INFO   ABSTRACT
ORIGINAL ARTICLE  
Background: High prevalence of food insecurity experienced by many households in developing countries predisposes them to adopting coping strategies (CSs), some of which may put them at risk of malnutrition. This
study assessed the household food insecurity status and CSs in Abeokuta. Methods: A cross-sectional study design was adopted. A total of 250 households were randomly selected in all communities in Odeda Local Government Area, Abeokuta. Interviewer-administered semi-structured questionnaire was used to collect socio-demographic data. Household food insecurity (HFI) status and coping strategy were assessed using HFI experience scale and CS index questionnaires. The CSs were categorised as food, financial as well as both food and financial compromization. Data were reported by frequencies and percentages. Chi-square was run to determine the association among variables at P <0.05. Results: The majority (84.4%) of respondents were food insecure, of whom 26.5%, 35.5%, and 22.4% were food insecure mildly, moderately, and severely, respectively.  Moreover, 99.6% took loan, sold sheep and goat, ate once a day, ate rice without stew, sold hen and turkey, took food loan, and reduced food quality and quantity as CS. A significant association exists between CS categories and food insecurity status (P < 0.001). In addition, access to land (P = 0.00), farm (P = 0.04), paved-road (P = 0.01), information (P = 0.04), and market (P = 0.01) were significantly associated with HFI status. Conclusion: The prevalence of food insecurity was high and most households adopted CS that reduced both food quality and quantity and could adversely affect their nutritional status and predisposed them to multiple forms of malnutrition.
 
Keywords: Food insecurity; Coping strategies; Food quality; Household resources and food compromization
Article history:
Received:4 Mar 2020
Revised: 27 Jun 2020
Accepted: 27 Jun 2020
*Corresponding author:
olufunkeakinbule@gmail.com
Nutrition and Dietetics Department, Federal University of Agriculture, Abeokuta, Nigeria.
 
Postal code: PMB 2240
Tel: +23 48061241115
Food insecurity remains a public health problem in many developing countries. Despite several efforts made to increase the food availability and accessibility to meet the need of growing population worldwide, food insecurity is still very high in many developing countries, particularly Nigeria, owing to the rise of food prices, low income levels, and devaluation in the economy of many affected countries (Anugwa and Agwu, 2019, Okolo and Obidigbo, 2015, Titus and Adetokunbo, 2007) Several factors were associated with food insecurity, which include conflicts, natural disasters, urbanisation (reducing access to farm land), and increased population growth rate were associated with the increased food insecurity      (Anugwa and Agwu, 2019, Ayantoye et al., 2011). Certain antecedent factors have been revealed to contribute significantly to food insecurity (Farzana et al., 2017), but many of households have no control over them.
Food insecurity experienced by many households makes them to devise strategies to cope with the prevailing situation in order to prevent the household from hunger, particularly the children in the household and mitigate against its effects of their nutritional status (Jones et al., 2013). Studies revealed that households adopt either food, non-food CSs, or a combination of both such as meal skipping, reducing the quality or quantity of food served, adjusting food budgets, or even obtaining food loans among others (Ballard et al., 2013, Farzana et al., 2017, Gupta et al., 2015). This results in reliance on cheaper, less healthy, and calorie dense foods. in order to quench hunger and increase the frequency of eating. This may put household members at higher risk of unhealthy eating habits and stress-induced metabolic responses, all of which can predispose them to obesity and its associated outcomes, increase the prevalence of malnutrition, particularly in children (Dinour et al., 2007).
Although diverse studies assessed various household food insecurity status and the various coping strategy applied at the household and national levels. However, most studies conducted in this part of the country used household food insecurity assessing scale as a major tool for assessing food insecurity.  However, the Food and Agriculture Organisation recommended use of Food insecurity experience scale, which is a new tool based on the direct interview to measure people’s ability to access foods as well as the severity of food insecurity. Previous findings focused on the prevalence food insecurity rather than the severity. However, a recent report on the state of food security and nutrition in the world  (FAO et al., 2019). emphasized the importance of assessing not only the prevalence of severe food insecurity status, but also the mild and moderate food insecurity status. This notes that the food insecurity is higher than hunger and those who fall under the mild and moderate food insecurity, if not taken care of, may develop severe food insecurity. As a result, the prevalence of severe food insecurity increases. Information is scarce on the severity of food insecurity status and CSs adopted by these households using the appropriate tool in this region. These data can be useful for the government and stakeholders to assess the existing and set new policy for the food insecurity programs, design programs related to the food security, and inform interventions that can address food insecurity among this population. Therefore, this study assessed the household food insecurity status and CSs in Abeokuta, Ogun State, Nigeria. 
Materials and Methods
Study design and participants: A cross-sectional descriptive study was conducted among 250 households in 20 communities in Odeda local government area, Abeokuta using simple random sampling technique.
Measurements: An interviewer-administered semi-structured questionnaire was used to collect the study information on the socio-demographic area. Household food insecurity status was assessed using food insecurity experience scale questionnaire (Ballard et al., 2013), which consists of eighteen question categorized according to the level of food insecurity domains. These domains include uncertainty about food, inadequate food quality and quantity, each domain represents specific level of food insecurity that progresses from mild and moderate to severe levels. The coping strategy adopted by households was assessed using the coping strategy index questionnaires that contained 12 experienced-based questions arranged orderly from the least severe to the most severe based on the mostly frequently practised behaviours in the last 30 days. The number of utilized CSs was calculated and the CSs were categorised as food compromization, financial compromization, as well as both food and financial compromization CSs.
Data analysis: Data were presented in frequencies and percentages. Chi-square was applied to determine the association between CSs category and household food insecurity status, as well as socio-demographic data and food insecurity status of households. Statistical significance was set at p-value < 0.05. All statistical analysis was carried out using statistical package for social sciences version 20.
Ethical considerations: This study was approved by the Ethical Research Committee FUNAAB / NTD / COLFHEC /ERC / 023 / 12) of the Nutrition and Dietetics Department, College of Food Science and Human Ecology, Federal University of Agriculture, Abeokuta, Nigeria.
Results
Table 1 shows the socio-demographic and food insecurity status of the households. Majority (84.0%) of the household heads were male and about one-third fell within the age range of 39-59 years. About half (48.4%) of the households had total monthly income ranging from 50,000 to 99,000 naira monthly. In addition, most households had access to drinkable water, credit facilities, information and market while less than half of them had access to land, farm, and paved roads. More than three-quarter of the respondents were food insecure, while 26.4% were mildly food insecure, 35.6% were moderately food insecure, and 22.4% were severely food insecure. A significant association was found between the gender of household head (P = 0.01), age-range of household head (P = 0.03), household size
(P = 0.01), occupation of household head (P = 0.001), income of the household head (P < 0.001), and household food insecurity status. Furthermore, household access to land (P < 0.001), access to farm (P = 0.04), access to paved road (P = 0.01), access to information (P = 0.04), and access to market (P = 0.01) had significant association with the household food insecurity status (Table 1).
Figure 1 illustrates the CSs utilized by households within the last thirty days.  The most common CSs included the compromising food quantity, food quality, and finances. The majority of respondents took loan to buy food (99.6%), sold sheep and goat (100%), ate once a day (93.6%), ate rice without stew (94.4%), sold hen and turkey (99.6%), took food loan (88.4%), took money from savings (89.2%), and reduced food quantity (100%) within the last 10 days. More than half of them reduced food quality (63.2%), skipped meal for children (55.2%), ate twice a day (52.8%), and collected wild vegetables (59.6%) within the last ten days. About 20% of the households ate twice daily, 24.4% collected wild vegetables, 26.4% reduced food quality in the last 11-20 days while about 10.0% reduced their food quality, and more than a quarter of the respondents ate twice daily and skipped meal for children in the last 21-30 days.
Figure 2 shows the number of CSs adopted by households within the last 30 days. Almost two-thirds (62.6%) of the households adopted at least five CSs and more than one-quarter adopted three to four CSs in the last 30 days.
Figure 3 illustrates the household food insecurity status stratified by categories of the CSs. CSs were categorised as food compromization, financial as well as both food and financial compromization. Among the households who were food secured, food compromization (19.4%) and financial compromization (12.5%) were the most adopted prevalent CSs. Among the households who were mildly food insecure, food compromization (34.8%) as well as both food and financial compromization (13.9%) were most prevalent. Among the households who were moderately food insecure financial compromization
(43.8%) as well as both food and financial compromization (40.5%) were the most prevalent CSs adopted. Among the households who were severely food insecure, financial (37.5%) as well as both food and financial compromization (36.7%) were more prevalent. Financial as well as both food and financial compromization increased with severity of the food insecurity. A significant association exists between the respondents’ adopted CSs categories and food insecurity status (P = 0.00).
 
 

 







 

Discussion
This study provided information on the severity of food insecurity in the study area. Four out of five households were food insecure; more than a quarter of the households were mildly food insecure and one-third of the households were moderately food insecure, while almost one-quarter were severely food insecure. Findings from previous studies conducted among the rural farmers’ households in Osun, Oyo states, and North Central Nigeria revealed high prevalence of food insecurity (Adeniyi and Ojo, 2013, Amao and Ayantoye, 2017, Rebecca and Ige, 2013). Food insecurity was associated with the risk of various forms of malnutrition, particularly among the under-five children within the households (FAO, 2017, FAO et al., 2019).  This suggests that the households with high prevalence of food insecurity in this study may be at risk regarding various forms of malnutrition that may predispose them to many diet-related chronic diseases in later life.
In this study, more than 10 percent of the household heads were female with the majority of family size less than five. This agrees with the reports of other studies (Ballard et al., 2013, Oraro et al., 2018), revealing that about a quarter of the sub-Saharan African households were headed by females. Furthermore, only one-third of the household heads had an education level of higher than secondary school, most of them were artisans, and almost half of them earned between fifty to hundred thousand naira per month. Previous findings from studies conducted in Kenya, Ethiopia, Ghana, Kano, and Oyo States, Nigeria show that the low level of education, low income, unemployment, and large family size contributed to the prevalence of food insecurity in many households (Adepoju and Adejare, 2013, Agbadi et al., 2017, Anugwa and Agwu, 2019, Mutisya et al., 2016, Saaka et al., 2017, Tamiru et al., 2016). In addition, most households had access to drinkable water, credit facilities, information, market, and electricity while less than half of them had access to land, farm, credit facility, free drinkable water, and paved roads. Poor access to the credit facility, land, and farm were reported as the factors associated with food insecurity (Adepoju and Adejare, 2013, Anugwa and Agwu, 2019). In this study, significant association was observed between the gender of household head, age-range of household head, household size, occupation of household head, income of the household head, and household food insecurity status. Furthermore, the household access to land, farm, paved road, information, and market had significant association with the household food insecurity status.
Interestingly both households who were food secure and those who were food insecure were reported to adopt multiple CSs. CSs used by majority included taking loan to buy food, loaning food, selling sheep, goat, hen, and turkey, eating once a day, eating rice without stew, taking money from savings, and reducing food quantity.  Previous studies revealed similar findings (Chagomoka et al., 2016, Lai, 2007, Rebecca and Ige, 2013, Tsegaye et al., 2018) However, about half of the studies reduced food quality, skipped meal for children, ate twice a day, and collected wild vegetables within the last ten days. About a quarter of the households ate twice daily, collected wild vegetables, and reduced food quality in the last 11-20 days while about a quarter of the households ate twice daily and had mothers skipped a meal for children within the last 21 – 30 days.  Farzana et al revealed that the number of days of CSs utilized by respondents increased with the duration of food insecurity experienced (Farzana et al., 2017). This indicates high level of food insecurity among the respondents. Adopting coping strategy was reported to reduce vulnerability of the poor households and strengthen their livelihood (Hadley and Crooks, 2012).
Most of the households adopted at least five CSs and the categories of CSs utilised by households were categorized under financial, food comptonization, as well as both financial and food comptonization CSs. This finding revealed an increase in the use of financial as well as both food and financial CSs among the households with severity of food insecurity. Furthermore, a significant association was observed between food insecurity status and categories of CSs utilized by the households.
As strengths and limitations, this study provided useful information on the prevalence of food insecurity severity and CSs pattern adopted by households. This information is important for developing policies on the food security programs and can inform the researchers to conduct interventions to reduce the food insecurity prevalence in the study location.  However, this study did not explore the causes of food insecurity among food insecure households.
Conclusion
This study revealed high prevalence of food insecurity as well as high prevalence of moderate, mild, and severe food insecurity. Most respondents adopted at least five CSs in the last thirty days. In addition,  the financial and a combination of food and financial compromization were the most prevalent CSs among households which increased with the severity of food insecurity. Furthermore, access to land, farm, paved road, information, and market had a significant association with the household food insecurity status.
Acknowledgement
The authors acknowledge the respondents’ cooperation in the study.
Authors’ Contribution
Akinbule OO designed the research, analyzed the data, and wrote the paper. Okekhian KL assisted in the data collection procedure. Omidiran AT was responsible for reviewing the study. All authors read and approved the final manuscript.
Conflict of interest
There is not any conflict of interest.
 
References
Adeniyi OR & Ojo OA 2013. Food security status of rural farming households in Iwo, Ayedire and Ayedaade local government areas of Osun State, South-Western Nigeria. African Journal of Food, Agriculture, Nutrition and Development. 13 (5): 8209-8223.
Adepoju AO & Adejare KA 2013. Food insecurity status of rural households during the post planting season in Nigeria.
Agbadi P, Urke HB & Mittelmark MB 2017. Household food security and adequacy of child diet in the food insecure region north in Ghana. PloS one. 12 (5): e0177377.
Amao J & Ayantoye K 2017. Analysis of food insecurity status among farming households in North Central Nigeria. International Journal of Advance Agricultural Research. 5: 10-22.
Anugwa IQ & Agwu AE 2019. Perceived Causes of Household Food Insecurity and Policy Implications for Food Production in Kano State, Nigeria. Journal of Animal and Poultry Sciences. 19 (6): 513-519.
Ayantoye K, Yusuf S, Omonona B & Amao J 2011. Food insecurity dynamics and its correlates among rural households in South-Western Nigeria. International Journal of Agricultural Economics and Rural Development. 4 (1): 43-55.
Ballard TJ, Kepple AW & Cafiero C 2013. The food insecurity experience scale: development of a global standard for monitoring hunger worldwide. In Rome: FAO.
Chagomoka T, et al. 2016. Food coping strategies in northern Ghana. A socio-spatial analysis along the urban–rural continuum. Agriculture & Food Security. 5 (1): 4.
Dinour LM, Bergen D & Yeh M-C 2007. The food insecurity–obesity paradox: a review of the literature and the role food stamps may play. Journal of the American Dietetic Association. 107 (11): 1952-1961.
FAO 2017. The future of food and agriculture–Trends and challenges. In Annual Report.
FAO, IFAD, UNICEF, WFP & WHO 2019. The state of food security and nutrition in the world 2019: safeguarding against economic slowdowns and downturns. Rome, Italy: FAO.
Farzana FD, et al. 2017. Coping strategies related to food insecurity at the household level in Bangladesh. PloS one. 12 (4): e0171411.
Gupta P, Singh K, Seth V, Agarwal S & Mathur P 2015. Coping strategies adopted by households to prevent food insecurity in urban slums of Delhi, India. Journal of Food Security. 3 (1): 6-10.
Hadley C & Crooks DL 2012. Coping and the biosocial consequences of food insecurity in the 21st century. American Journal of Physical Anthropology. 149 (S55): 72-94.
Jones AD, Ngure FM, Pelto G & Young SL 2013. What are we assessing when we measure food security? A compendium and review of current metrics. Advances in Nutrition. 4 (5): 481-505.
Lai C 2007. How Livestock is Used as a Coping Mechanism with Respect to Food Insecurity Among Livestock Keepers of Africa: A Literature Review from a Current Perspective, Land O'Lakes Inc.
Mutisya M, Ngware MW, Kabiru CW & Kandala N-b 2016. The effect of education on household food security in two informal urban settlements in Kenya: a longitudinal analysis. Food Security. 8 (4): 743-756.
Okolo CV & Obidigbo C 2015. Food security in Nigeria: An examination of food availability and accessibility in Nigeria. International Journal of Social, Behavioural, Educational, Economic, Business and Industrial Engineering. 9 (9): 3147.
Oraro T, Ngube N, Atohmbom GY, Srivastava S & Wyss K 2018. The influence of gender and household headship on voluntary health insurance: the case of North-West Cameroon. Health Policy and Planning. 33 (2): 163-170.
Rebecca AA & Ige AS 2013. Determination of farmers’ coping strategies to household food insecurity in Oyo State, Nigeria. Soil Science Society of America Journal 4(1): 1-7.
Saaka M, Oladele J, Larbi A & Hoeschle‐Zeledon I 2017. Household food insecurity, coping strategies, and nutritional status of pregnant women in rural areas of Northern Ghana. Food Science & Nutrition. 5 (6): 1154-1162.
Tamiru D, et al. 2016. Household food insecurity and its association with school absenteeism among primary school adolescents in Jimma zone, Ethiopia. BMC Public Health. 16 (1): 802.
Titus B & Adetokunbo G 2007. An analysis of food security situation among Nigerian urban households: Evidence from Lagos State, Nigeria. Journal of Central European Agriculture. 8 (3): 397-406.
Tsegaye AT, et al. 2018. Reducing amount and frequency of meal as a major coping strategy for food insecurity. Archives of Public Health. 76 (1): 56.
Type of article: orginal article | Subject: public specific
Received: 2020/03/4 | Published: 2017/11/15 | ePublished: 2017/11/15

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