Dietary diversity, environment and health-related factors of under-five children: evidence from cassava commercialization households in rural South-West Nigeria

Otekunrin²

2022

NFS

Self Cite

Purpose This study aims to explore dietary diversity (DD) and nutritional status of adolescents among rural farm households in Southwestern Nigeria. It analyses whether higher commercialization levels of farm households translate to better nutrition. Design/methodology/approach This study was conducted in Ogun and Oyo States of Southwestern Nigeria, using primary data from 352 farm households with a total of 160 adolescent members. The individual version of dietary diversity score (DDS) of nine food groups was used to calculate adolescent DDS over a 24-h recall period. World Health Organization AnthroPlus software was used in analyzing adolescents’ anthropometric data (height-for-age z-score and body mass index-for-age z-score) while household crop commercialization index (CCI) was estimated for each farm household. Separate logit models were used to examine the drivers of adolescents’ DD and malnutrition. Findings The study findings indicated that 100% of the adolescents consumed starchy staples while 0%, 3.1% and 12.5% consumed organ meat, milk/milk products and eggs, respectively. Results revealed that 74.1% and 21.2% of boys were stunted and thin while the prevalence in adolescent girls was 50.7% and 9.3%, respectively. Prevalence of stunting was found to be very high (60%–83%) in all the four CCI levels’ households indicating that belonging to highly commercialized households (CCI 3–4) may not necessarily translate to better nutrition of adolescent members. Food expenditure (p < 0.01) and access to piped water (p < 0.01) negatively influenced adolescents’ stunting mainly because of lower expenditure on food items and lower percent of household having access to piped water, respectively, while education (p < 0.01) had positive effects on adolescents’ DD. Originality/value Previous studies have contributed to the body of knowledge concerning the link between agricultural commercialization and nutrition using under-five children of the households. However, to the best of the authors’ knowledge, this is the first study that investigated the influence of CCI on DDS and nutritional status of adolescent members of farm households in Nigeria. This study fills this existing knowledge gap in investigating adolescents’ DD and malnutrition among smallholder farm households.

Section: The Study Areamentioning

confidence: 99%

Section: Evaluating the Levels Of Agricultural Commercializationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploring dietary diversity, nutritional status of adolescents among farm households in Nigeria: do higher commercialization levels translate to better nutrition?

Otekunrin²

2022

NFS

Self Cite

“…This is contrary to the expectation that the more access farming households have to healthcare services, the better their health status, and by extension, their agricultural productivity. This may not be disconnected from the fact that most of the healthcare centers are either non-existent or healthcare personnel are not available to attend to the health needs of the farming household members [70].…”

Section: Drivers Of Food Insecurity Among Rural Farming Householdsmentioning

confidence: 99%

Assessing Food Insecurity and Its Drivers among Smallholder Farming Households in Rural Oyo State, Nigeria: The HFIAS Approach

Sawicka

et al. 2021

Agriculture

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Hunger and food insecurity take center stage in most debates in Africa, and in recent times with serious concerns about Nigeria. This study assessed food insecurity among farming households in rural Oyo State, Nigeria, using cross-sectional datasets from 211 farming households through a multi-stage sampling procedure. The Household Food Insecurity Access Scale (HFIAS) module was employed in assessing food insecurity status of farming households, and the ordered logit model (OLM) was used to analyze factors influencing food insecurity among farming households. The results revealed that 12.8% of the farming households were food secure while 87.2% had varying levels of food insecurity. The OLM results indicated that age, household head’s years of schooling, gender, farm size, farm experience, non-farm income, food expenditure, and access to extension service significantly influenced food insecurity among farming households. Based on the findings, efforts should be geared towards promoting households’ education-related intervention programs in order to improve their nutrition-related knowledge that can enhance their food security status. Additionally, there should be provision of rural infrastructural facilities such as piped water, rural electrification, and healthcare service that promote healthy living and enhance households’ agricultural productivity.

Investigating food insecurity, health and environment-related factors, and agricultural commercialization in Southwestern Nigeria: evidence from smallholder farming households

2022

Environ Sci Pollut Res

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Hunger and food insecurity remained some of the serious challenges facing our world in present time with great concerns from Sub-Saharan Africa especially countries like Nigeria. This study investigates food insecurity (FI), health and environment-related factors, and agricultural commercialization among smallholder farm households. This study was conducted in Southwestern Nigeria utilizing cross-sectional survey data from 352 farm households and employed multi-stage sampling procedure. The household FI levels was determined using food insecurity access scale (HFIAS), crop commercialization index (CCI) was used to compute each household’s CCI (four levels), while ordered logit model was used to analyse factors influencing FI. Health and environment-related factors’ access were assessed across each FI category. The results indicated that about 13% of cassava farm households are non-participant in the marketing of their produce. The findings revealed that less than 20%, 30%. and 40% of households in all four FI categories had access to piped water, improved toilet facilities, and electricity respectively. The ordered logit regression analysis indicated that age, gender, education level, farm experience, nonfarm income, and ownership of motorcycle significantly influencing FI in the study areas. Therefore, this study stressed the implementation of policy actions capable of promoting rural infrastructure development that will lead to increased agricultural production, marketing, and improved quality of life of rural dwellers.