Determinants of household dietary practices in rural Tanzania: Implications for nutrition interventions

Mbwana, Hadijah A.; Kinabo, Joyce; Lambert, Christine; Biesalski, Hans Konrad

doi:10.1080/23311932.2016.1224046

Cited by 48 publications

(66 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This implied that the households' diet was predominantly based on cereals. The findings of this study corroborate many previous studies (Vakili et al, 2013;Mkemwa, 2015;Mbwana et al, 2016) which reported the dominance of cereals. The consumption of root and tubers was reported by 46% of households as their meals in the past 24 hours.…”

Section: Food Groups Of Householdssupporting

confidence: 92%

Determinants of household dietary diversity in Yayu Biosphere Reserve, Southwest Ethiopia

Jebessa¹,

Sima²,

Wondimagegnehu³

2019

Eth J Sci & Technol

View full text Add to dashboard Cite

Lack of dietary diversity is a severe problem among the poor in the developing world, including Ethiopia. Empirical evidence for factors contributing to low dietary diversity hardly exists. The objective of this study was to analyze determinants of Household Dietary Diversity and consumption behavior in Yayu biosphere reserve, South-West Ethiopia. A cross sectional survey was conducted on 183 randomly selected households. Primary data were collected from sample households through interviews, focus group discussions and key informant interviews. Secondary data were collected by reviewing different documents. Descriptive statistics and econometric models were used for analyzing quantitative data. The ordered logit model was employed to determine the influence of explanatory variables on the dependent variable. The average household dietary diversity score was 5.5±1.7SD. About 17.5% of the sampled households belonged to low, 61.2% to medium and 21.3% to high dietary diversity. The age of the household head, education, income, access to irrigation, home gardening and dietary diversity awareness affected household dietary diversity positively and significantly and distance from market negatively. In conclusion, policy and development interventions should target education and awareness creation tools to provide households up to date nutritional knowledge and agricultural technologies to increase production and income, and thereby enhance household dietary diversity.

show abstract

Section: Food Groups Of Householdssupporting

confidence: 92%

Determinants of household dietary diversity in Yayu Biosphere Reserve, Southwest Ethiopia

Jebessa¹,

Sima²,

Wondimagegnehu³

2019

Eth J Sci & Technol

View full text Add to dashboard Cite

show abstract

“…This implied that educated persons better understand the health benefit of consuming nutritious foods and spend much budget on food varieties. This was corroborated by other studies done in Ethiopia and in Tanzania [16,29]. On contrary, family size had a negative influence on FVS.…”

Section: Food Varietiessupporting

confidence: 86%

Dietary Patterns and Risk of Micronutrient Deficiencies: their Implication for Nutritional Intervention in Ethiopia

Keflie¹,

Samuel²,

Lambert³

et al. 2018

jnhfs

Self Cite

View full text Add to dashboard Cite

Background: Dietary patterns are the quantities, proportions, variety or combinations of different foods and beverages in diets, and the frequency with which they are habitually consumed. In Ethiopia, information on the dietary patterns and association of the proxies of dietary adequacy and quality with nutritional outcomes is scarce. The aims of this paper were to assess the interactions between dietary patterns, nutritional adequacy, nutritional quality and the risk of micronutrient deficiencies, and to highlight their implications in nutritional interventions. Methods: A community based cross-sectional study was carried out in North Shewa zone of Amhara Regional State, central Ethiopia from December 2014 to February 2015. Multistage sampling techniques were employed to recruit participants and 640 subjects involved in the study. Data were collected using structured and seven-day recall questionnaires. Chi-Square test, Kruskal-Walis test, Spearman correlation, multiple linear and multinomial regression models were used for inferential analyses. Results: The main dietary patterns included cereals, vegetables and legumes. Animal Source Foods (ASF) was consumed by 35.4% of participants. The median (range) of Food Variety Score (FVS) and Diet Diversity Score (DDS) were 16 (8-25) and 3.43 (1.14-5.57), respectively. About 28 % of subjects were malnourished. FVS had a positive correlation with DDS (r=0.502, p<0.001) and Body Mass Index (BMI) (r=0.145, p<0.001). DDS had also a positive correlation with BMI (r= 0.19, p<0.001). Family size and educational status were identified as determinant factors for FVS, but the later had a significant influence on DDS. The risks of vitamin A and iron deficiencies were 60.3% and 86.3%, respectively. The consumption of food groups rich in vitamin A and haem iron were significantly different across FVS and DDS (p<0.05). Conclusions: Dietary inadequacy, poor nutritional quality and high risk of micronutrient deficiencies were identified. These underlined the implications of nutritional interventions in central Ethiopia.

show abstract

“…(2) Household head: The demographic characteristics of household heads have been considered possible determinants of household dietary diversity in previous studies [32][33][34]. The second set of independent variables-HHA, HHE, HHM and HHG-therefore represent the age, education level, marital status and gender of the household head, with positive coefficients (Table 6).…”

Section: Dependent and Independent Variablesmentioning

confidence: 99%

The Impact of Proximity to Wet Markets and Supermarkets on Household Dietary Diversity in Nanjing City, China

Zhong

Crush

et al. 2018

Sustainability

View full text Add to dashboard Cite

This study investigated the influence of the proximity to wet markets and supermarkets on urban household dietary diversity in Nanjing. Based on the data collected through a citywide survey in 2015 and the map data of wet markets and supermarkets, the Poisson regression model was deployed to examine the correlations between geographical proximity to supermarkets and wet markets and household dietary diversity. The result shows that the coefficients for the distance to the nearest wet market are not statistically significant. Although the coefficients for the distance to nearest supermarket are statistically significant, they were too minor to reach a practical importance. We argue, however, that the insignificant correlations reflect exactly the high physical accessibility to food outlets and the extensive spatially dense food supply network constituted by wet markets, supermarkets and small food stores in Nanjing, due in part to the food infrastructure development planning in Nanjing that has ensured relatively equal and convenient access to wet markets or supermarkets for all households. Our findings are verified by the survey data that more than 90% of households purchased fresh food items within their neighborhoods or in walking distance. In addition to the densely distributed food outlets, various other factors contributed to the non-significant influence of the distance to the nearest wet market and supermarket, in particular, the numerous small food stores within or close to residential communities, the prevalence of three-generation extended household structure and the high household income.

show abstract

Determinants of household dietary practices in rural Tanzania: Implications for nutrition interventions

Cited by 48 publications

References 8 publications

Determinants of household dietary diversity in Yayu Biosphere Reserve, Southwest Ethiopia

Determinants of household dietary diversity in Yayu Biosphere Reserve, Southwest Ethiopia

Dietary Patterns and Risk of Micronutrient Deficiencies: their Implication for Nutritional Intervention in Ethiopia

The Impact of Proximity to Wet Markets and Supermarkets on Household Dietary Diversity in Nanjing City, China

Contact Info

Product

Resources

About