Determinants of household dietary diversity in the Yayo biosphere reserve of Ethiopia: An empirical analysis using sustainable livelihood framework

Huluka, Admassu Tesso; Wondimagegnhu, Beneberu Assefa

doi:10.1080/23311932.2019.1690829

Cited by 53 publications

(52 citation statements)

References 8 publications

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“…In a study by Isabirye et al [ 67 ], some variables that were not significant factors in determining dietary diversity included age, education, work status, and household size, among others. Finally, it is important to mention that the results found here in regard to significant and nonsignificant variables are similar to the findings reported by studies of other rural areas [ 9 , 19 , 24 , 67 , 71 , 73 ]. These results have allowed us to know the context of other places and in this way to be able to compare with our results.…”

Section: Discussionsupporting

confidence: 91%

“…Household dietary diversity (HDD) is an instrument for measuring the economic capacity of a household to access a variety of foods during a given period [ 19 ]. The dietary diversity questionnaire described by Kennedy [ 20 ], which is used to create the Household Dietary Diversity Score (HDDS), is an easily applicable tool to assess access to food and is widely used to qualitatively determine food consumption, including the level of variety of foods a household has access to [ 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

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Factors That Determine the Dietary Diversity Score in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador

Cordero-Ahiman

Vanegas

Franco-Crespo

et al. 2021

IJERPH

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Inadequate food and nutrition affect human well-being, particularly for many poor subpopulations living in rural areas. The purpose of this research was to analyze the factors that determine the Household Dietary Diversity Score (HDDS) in the rural area of the Paute River Basin, Azuay Province, Ecuador. The sample size of 383 surveys was determined by a stratified random sampling method with proportional affixation. Dietary diversity was measured through the HDDS, with 12 food groups (cereals; roots and tubers; fruits; sugar/honey; meat and eggs; legumes or grains; vegetables; oils/fats; milk and dairy products; meats; miscellaneous; fish and shellfish) over a recall period of 7 days. A Poisson regression model was used to determine the relationship between the HDDS and sociodemographic variables. The results show that the average HDDS of food consumption is 10.89 foods. Of the analyzed food groups, the most consumed are cereals; roots and tubers; fruits; sugar/honey. In addition, the determinants that best explain the HDDS in the predictive model were housing size, household size, per capita food expenditure, area of cultivated land, level of education, and marital status of the head of household. The tools used in this research can be used to analyze food and nutrition security interventions. Furthermore, the results allow policymakers to identify applicable public policies in the fight against hunger.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Factors That Determine the Dietary Diversity Score in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador

Cordero-Ahiman

Vanegas

Franco-Crespo

et al. 2021

IJERPH

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“…The Food and Agriculture Organisation of the United Nations (FAO) defines household food security as when all the household members have physical and economic access to sufficient, nutritious, and safe food at all times, to meet their dietary needs for an active and healthy life [24]. Several indicators have been used as proxies of household food security to capture the four major dimensions (access, availability, utilisation, and stability), including the Dietary Diversity Score, food insecurity scores, hunger scale, food utilisation (anthropometry as a proxy, i.e., height-for-age, weight-for-height, body mass index (BMI) for age, and weight for age [52][53][54]) The Household Dietary Diversity Score (HDDS) was used as an indicator of food security. The HDDS measures the number of food groups that are consumed per given reference period.…”

Section: Specification Of the Empirical Modelmentioning

confidence: 99%

The impact of climate smart agriculture on household welfare in smallholder integrated crop–livestock farming systems: evidence from Zimbabwe

Mujeyi

Mudhara

Mutenje³

2021

Agric & Food Secur

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Background Agriculture contributes significantly to the welfare of smallholder farmers, but it has become highly susceptible to climate change, due to its reliance on the increasingly erratic rainfall patterns. Climate Smart Agriculture (CSA) offers important opportunities for enhancing food security and incomes through increased agriculture productivity. Technology evaluation through impact studies provides information on the effect of CSA on farmer welfare, thereby highlighting its potential in optimizing agriculture productivity. This paper analyses the impact of CSA adoption on food security and income of households, using cross-sectional survey data collected from 386 households across four districts in Zimbabwe. The analysis was done using the endogenous switching regression model which controls for selection bias and unobserved heterogeneity, a commonly used method in adoption impact analysis. Results The study found several agricultural and socio-economic factors which affect adoption and food security. The econometric results show that the status of soil fertility in fields, distance to input and output markets, ownership of communication assets, and Total Livestock Units (TLU) have a significant impact on the decision of farmers to adopt CSA. The Average Treatment Effects on the Treated (ATT) and Average Treatment Effects on the Untreated (ATU) were found to be positive and significant for adopters and non-adopters, indicating that CSA adoption has had a significantly positive impact on the welfare of the farmers. An analysis of the outcomes revealed that the characteristics of farmers and farms, as well as market factors, significantly affect the welfare of households. The household income, with reference to the adoption of CSA, was significantly affected by factors such as the education of household head, labour size, TLU, and asset index. Food security was influenced by factors such as the education of household head, TLU, access to sanitation, and arable land size. Conclusions The study concludes by giving policy recommendations centred on the access to inputs, sanitation, and encouraging investing in assets and TLU. The findings indicate that the adoption of CSA has a positive impact on the welfare of farmers. To exploit the full potential of these technologies, the study suggests that access to timely weather forecasts must be ensured, that sanitation must be promoted, and that incentives must be provided for agricultural input agro-dealers to decentralize to rural areas.

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“…Another key indicator of a household's ability to not only provide enough food, but a diverse range of foods for good nutrition, is dietary diversity. HDD is a proxy indicator measuring the economic ability of a household to access a variety of foods during a determined period and is widely used as an indicator of food security as a whole (8) . Previous studies revealed that higher HDD is associated with socio-economic status and HFS (8) .…”

mentioning

confidence: 99%

“…HDD is a proxy indicator measuring the economic ability of a household to access a variety of foods during a determined period and is widely used as an indicator of food security as a whole (8) . Previous studies revealed that higher HDD is associated with socio-economic status and HFS (8) . Further determinants, such as type of residency (urban v. rural area), type of family (joint family v. nuclear family) and occupation have a significant association with adequate HDD (9) .…”

mentioning

confidence: 99%

Determinants of household food security and dietary diversity during the COVID-19 pandemic in Bangladesh

Kundu

Banna

Sayeed

et al. 2020

Public Health Nutr.

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Objectives: The study aimed to determine the associated factors of household food security (HFS) and household dietary diversity (HDD) during the COVID−19 pandemic in Bangladesh. Design: Both online survey and face-to-face interviews were employed in this cross-sectional study. The Household Food Security Scale and Household Dietary Diversity Score were used to access HFS and HDD, respectively. The HDD scores were derived from a 24-h recall of food intake from 12 groups. Setting: Bangladesh. Participants: A total sample of 1876 households were recruited. Results: The overall mean scores of HFS and HDD were 31·86 (sd 2·52) and 6·22 (sd 5·49), respectively. Being a rural resident, having no formal education, occupation of household head other than government job and low monthly income were potential determinants of lower HFS and HDD. Approximately 45 % and 61 % of Bangladeshi households did not get the same quantity and same type of food, respectively, as they got before the pandemic. Over 10 % of respondents reported that they lost their job or had to close their businesses, and income reduction was reported by over 70 % of household income earners during the COVID-19 pandemic, which in turn was negatively associated with HFS and HDD. Conclusion: Household socio-economic variables and COVID-19 effects on occupation and income are potential predictors of lower HFS and HDD scores. HFS and HDD deserve more attention during this pandemic particularly with reference to low-earning households and the households whose earning persons’ occupation has been negatively impacted during the COVID-19 pandemic.

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Determinants of household dietary diversity in the Yayo biosphere reserve of Ethiopia: An empirical analysis using sustainable livelihood framework

Cited by 53 publications

References 8 publications

Factors That Determine the Dietary Diversity Score in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador

Factors That Determine the Dietary Diversity Score in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador

The impact of climate smart agriculture on household welfare in smallholder integrated crop–livestock farming systems: evidence from Zimbabwe

Determinants of household food security and dietary diversity during the COVID-19 pandemic in Bangladesh

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