Determinants of Dietary Quality: Evidence from Bangladesh

Rashid, Dewan Arif; Smith, Lisa C.; Rahman, Tauhidur

doi:10.1016/j.worlddev.2011.05.022

Cited by 80 publications

(102 citation statements)

References 23 publications

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“…This finding is consistent with a study conducted in Bangladesh [21] where land ownership was reported to positively influence women dietary diversity. Vitamin A rich fruits 13 5 Organ meat 10 4 Fish and sea food 4 2 Adjusted for socioeconomic and demographic characteristics (education level, marital status, occupation, household head, level of income, source of lighting, livestock ownership and household assets) and morbidity incidence Findings of this study are in agreement with findings of several other studies which have reported that dietary diversity is associated with socioeconomic status [19,[22][23][24][25]. For instance, a study by Vakili et al [25] in Ahvaz-Iran showed a significant relationship between DDS and the economic situation of the respective respondents (p < 0.05).…”

Section: Discussionsupporting

confidence: 89%

Determinants of dietary diversity among pregnant women in Laikipia County, Kenya: a cross-sectional study

2017

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Background: Dietary diversity has continued to gain widespread attention among the population since it has evidently been associated with nutrient adequacy. A diverse diet has been shown to reflect nutrient adequacy since no one food can meet the nutritional requirement of a person. Pregnant women have been considered vulnerable to malnutrition due to their increased nutrient requirement and therefore a variety of foods in their diet is considered imperative in ensuring adequate nutrient intake. To promote dietary diversity, it is important to understand the factors associated with it. This paper therefore assessed the determinants of dietary diversity among pregnant women in Laikipia County, Kenya. Methods: The study was a cross-sectional analytical study consisting of 254 pregnant women attending antenatal clinic at Nanyuki Teaching and Referral Hospital in Laikipia County, Kenya. Results: The mean Dietary Diversity Score (DDS) was 6.84 ± 1.46 Standard Deviation (SD), with cereals being the most (99%) commonly consumed food group. Adjusted Logistic Regression (AOR) analyses revealed education level (AOR = 2.78; (95% Confidence Interval (CI) 1.06, 5.32; p < 0.001), employment status (AOR = 2.29; CI 1.18, 4.14; p = 0. 003), monthly income (AOR = 2.08; CI 1.32, 3.03; p < 0.001), household assets (AOR = 1.93; CI 0.73, 6.90; p = 0.030), land ownership (AOR = 0.64; CI 0.44, 2.25; p = 0.040), and morbidity (AOR = 0.78; CI 0.36, 2.34; p = 0.010) among the pregnant women as the variables that influenced their dietary diversity. Conclusion: Socioeconomic factors (education level, employment status, monthly income, household assets and land ownership) have been shown to influence dietary diversity in this study. New policies and intervention programmes targeting these determinants of dietary diversity should therefore be enacted, while the existing ones should be supported and monitored particularly among the vulnerable populations. Such policies and programmes among pregnant women will ensure improved dietary diversity and adequate nutrient intake. Similarly, since morbidity incidence among pregnant women have been shown to significantly influence dietary diversity, public health awareness campaign on the importance of early detection and timely treatment of diseases among pregnant women should be launched by the relevant stakeholders.

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Section: Discussionsupporting

confidence: 89%

Determinants of dietary diversity among pregnant women in Laikipia County, Kenya: a cross-sectional study

2017

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“…Thus, similar to Rashid et al (2011) we made use of zero-truncated Poisson regression model to estimate Eq. 21 when DDS is used as the dependent variable.…”

Section: Determinants Of Household Demand For Dietary Diversitymentioning

confidence: 99%

“…Thus, the predicted fitted value of the instrumented-total expenditure is then used in the final analysis reported in Tables 3 and 4 as HHINCOME. As noted by Rashid et al (2011), this type of approach is becoming increasingly popular in the absence of detailed information on household income. The results of the multinomial model showing the effects of household's socioeconomic and demographic characteristics on the probability of households being food insecure, are presented in Table 3.…”

Section: Determinants Of Households In Different Levels Of Food Securitymentioning

confidence: 99%

Categorizing households into different food security states in Nigeria: the socio-economic and demographic determinants

Ogundari

2017

Agric Econ

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The literature reiterates the need to employ indicators that reflect the multidimensional nature of food security. In a quest to capture the multidimensional nature of food security, this study uses a novel ideal that harmonizes two food security indicators (food expenditure (FOOD exp ) and dietary diversity score (DDS)) to categorize households into different levels of food security states in Nigeria. In addition, the study also examined factors that influence the probability of households being in different levels of food security states in the country. Our estimates show that about 66 and 60% of the households in the sample were food secure based on a single indicator such as FOOD exp and DDS, respectively. However, by harmonizing the two indicators, results reveal that about 42% of the households are actually food secure. The implication of this is that about 24 and 18% of the households are transitory food insecure. Results also suggest that the use of a single indicator may wrongly classify households as food secure instead of categorizing them as transitory food insecure. Furthermore, the empirical results show that households that consume only home produced food have high probabilities of being food insecure, while households that consume only market-purchased food are less likely to be food insecure. The implication of this finding is that harmonization of food security indicators helps identify households with different nature of food (in) security problems that require different types of policy interventions most especially in Nigeria. The results of the empirical analysis also imply that market-based intervention policies that facilitate households' access at all time to healthy foods of their choice should be given priority. This gives the household opportunity to benefit from greater varieties of food items offered by the market.

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“…Following standard practice in the literature on nutrition, the theoretical starting point for our investigation is household utility (e.g., Behrman et al 1997;Pitt and Rosenzweig 1985;Rashid et al 2011). We base our analysis on the agricultural household model taking market imperfections -mainly incomplete food markets due to remoteness -into account.…”

Section: Estimation Strategymentioning

confidence: 99%

Food Intake and the Role of Food Self-Provisioning

Lehmann-Uschner

Kraehnert

2016

The Journal of Development Studies

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThis paper investigates the role of food self-provisioning for the intake of macro-and micronutrients of households in Mongolia. Our analysis is based on rich household survey data that collected food consumption through consumption diaries. We analyze nutritional outcomes within and across the three prevalent Mongolian livelihoods that derive food from different sources: urban wave employees, rural households with small herds, and pastoralists with large herds. Results show that food consumption patterns differ strongly across the three livelihoods, with herding households having a better nutrition situation. Moreover, food self-provisioning significantly affects dietary quality and quantity. Farming food crops improves the nutrient intake of small herders. In contrast, the provision of food through animal husbandry activities has ambivalent effects on households' diet. It increases the intake of calories and nutrients from animal sources, while it decreases the intake of carbohydrates and nutrients from vegetal sources. This finding suggests household-specific market failures due to remoteness exist. Last, exposure to a severe weather event did not negatively affect households' energy intake, but it reduces the intake of nutrient from animal sources.

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Determinants of Dietary Quality: Evidence from Bangladesh

Cited by 80 publications

References 23 publications

Determinants of dietary diversity among pregnant women in Laikipia County, Kenya: a cross-sectional study

Determinants of dietary diversity among pregnant women in Laikipia County, Kenya: a cross-sectional study

Categorizing households into different food security states in Nigeria: the socio-economic and demographic determinants

Food Intake and the Role of Food Self-Provisioning

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