scholarly journals How well do different dietary and nutrition assessment tools match? Insights from rural Kenya

2018 ◽  
Vol 22 (3) ◽  
pp. 391-403 ◽  
Author(s):  
Andrea Fongar ◽  
Theda Gödecke ◽  
Antony Aseta ◽  
Matin Qaim

AbstractObjectiveVarious indicators and assessment tools exist to measure diets and nutrition. Most studies eventually rely on one approach. Relatively little is known about how closely results match when different tools are used in the same context. The present study compares and correlates different indicators for the same households and individuals to better understand which indicators can be used as proxies for others.DesignA survey of households and individuals was carried out in Kenya in 2015. Seven-day food consumption and 24 h dietary recalls were administered at household and individual level, respectively. Individual height and weight measures were taken. Different indicators of food access (energy consumption, household dietary diversity scores), dietary quality (individual dietary diversity scores, micronutrient intakes) and nutrition (anthropometric indicators) were calculated and correlated to evaluate associations.SettingRural farm households in western Kenya.ParticipantsData collected from 809 households and 1556 individuals living in these households (782 female adults, 479 male adults, 295 children aged 6–59 months).ResultsAll measures of food access and dietary quality were positively correlated at individual level. Household-level and individual-level dietary indicators were also positively correlated. Correlations between dietary indicators and anthropometric measures were small and mostly statistically insignificant.ConclusionsDietary indicators from 7d food consumption recalls at the household level can be used as proxies of individual dietary quality of children and male and female adults. Individual dietary diversity scores are good proxies of micronutrient intakes. However, neither household-level nor individual-level dietary indicators are good proxies of individual nutritional status in this setting.

2019 ◽  
Vol 11 (21) ◽  
pp. 5999 ◽  
Author(s):  
Wanyama ◽  
Gödecke ◽  
Qaim

More than half of Africa’s urban population lives in slums. Little is known about their nutritional situation, as slums are often underrepresented in standard surveys. This study analyzes issues of food security and dietary quality in East African slums using household-level and individual-level data collected in Nairobi and Kampala. The household food insecurity access scale (HFIAS) is used as a subjective measure of food security. Moreover, calorie availability and different dietary diversity scores are calculated based on 7-day food consumption recalls at the household level and 24-hour dietary recalls at the individual level. The large majority of the slum households are food insecure and suffer from low dietary quality. Rates of undernourishment are considerably higher than what country-level statistics report, suggesting that slum dwellers deserve more explicit attention in initiatives to improve nutrition. Household-level indicators are significantly correlated with individual-level indicators for women and children. This means that household-level data, which are easier to collect, can proxy for individual nutrition up to a certain extent when individual-level data are unavailable. Regression models show that household income is one of the main factors explaining dietary patterns. Hence, facilitating access to lucrative employment is an important entry point for improving nutrition in slums.


2016 ◽  
Vol 20 (2) ◽  
pp. 325-335 ◽  
Author(s):  
Stefan Koppmair ◽  
Menale Kassie ◽  
Matin Qaim

AbstractObjectiveThe association between farm production diversity and dietary diversity in rural smallholder households was recently analysed. Most existing studies build on household-level dietary diversity indicators calculated from 7d food consumption recalls. Herein, this association is revisited with individual-level 24 h recall data. The robustness of the results is tested by comparing household- and individual-level estimates. The role of other factors that may influence dietary diversity, such as market access and agricultural technology, is also analysed.DesignA survey of smallholder farm households was carried out in Malawi in 2014. Dietary diversity scores are calculated from 24 h recall data. Production diversity scores are calculated from farm production data covering a period of 12 months. Individual- and household-level regression models are developed and estimated.SettingData were collected in sixteen districts of central and southern Malawi.SubjectsSmallholder farm households (n408), young children (n519) and mothers (n408).ResultsFarm production diversity is positively associated with dietary diversity. However, the estimated effects are small. Access to markets for buying food and selling farm produce and use of chemical fertilizers are shown to be more important for dietary diversity than diverse farm production. Results with household- and individual-level dietary data are very similar.ConclusionsFurther increasing production diversity may not be the most effective strategy to improve diets in smallholder farm households. Improving access to markets, productivity-enhancing inputs and technologies seems to be more promising.


2016 ◽  
Vol 19 (14) ◽  
pp. 2485-2494 ◽  
Author(s):  
Mekitie Wondafrash ◽  
Lieven Huybregts ◽  
Carl Lachat ◽  
Kimberley P Bouckaert ◽  
Patrick Kolsteren

AbstractObjectiveSimple, cost-effective and convenient instruments like food group-based scores are proposed to assess micronutrient adequacy of children in developing countries. We assessed the predictive ability and seasonal stability of a dietary diversity score (DDS) to indicate dietary quality of infants.DesignA 24 h dietary recall assessment was carried out on a sample of 320 and 312 breast-fed infants aged 6–12 months during harvest (HS) and pre-harvest (PHS) seasons, respectively, in Ethiopia. DDS was calculated based on seven food groups, while mean micronutrient density adequacy (MMDA) was calculated for eight micronutrients. Multiple linear regression models were used to assess the relationship between DDS and MMDA, and differences in nutrient intake between the two seasons. A receiver-operating characteristic curve analysis was performed to derive DDS cut-offs that maximized sensitivity and specificity of assessing dietary quality.SettingThe study was conducted in the catchment of the Gilgel Gibe Field Research Centre of Jimma University, south-west Ethiopia.ResultsThe mean (sd) DDS for HS and PHS was 2·1 (0·94) and 2·3 (1·1), respectively. The DDS was associated with MMDA (β=0·045, P<0·0001 in HS; β=0·044, P<0001 in PHS). A DDS of ≤2 food groups best predicted ‘low’ MMDA (<50 %) with 84 % and 92 % sensitivity, 36 % and 43 % specificity, and 47 % and 51 % correct classification for the HS and PHS, respectively.ConclusionsDDS is predictive of dietary quality of breast-fed infants. The study supports the use of DDS to indicate inadequate intakes of micronutrients by breast-fed infants in different seasons.


2020 ◽  
Vol 20 (06) ◽  
pp. 16652-16668
Author(s):  
Diadie Halima Oumarou ◽  
◽  
HA Issaka ◽  
A Balla ◽  
◽  
...  

Malnutrition exists in both urban and rural areas in Niger. An analysis of food and nutrition situation was carried out in the urban municipality of Zinder in order to contribute to a better understanding of the situation.This work was done from February to March 2018, at the household level,sampled by probabilistic method.The study involved 168 children from 6 to 59 months selected from 150 households in 15neighborhoods in the urban municipalities of Zinder. An analysis of the Food Consumption Score and Household Food Diversity Score showed acceptable food consumption and high food diversity respectively in58.7% and 67.3% of households.Furthermore, the results showed that the socio-economic characteristics that determined Score of food consumption were the main activities of heads of households and their wives. Food diversity was generally acceptable, although 2.7 %of households still had low dietary diversity in the study area.Also,food diversity remained low overall for nearly 8.9% of children with a rate of 6.0% for households headed by a woman.Nevertheless, the latter female-headed households had an estimated 13.7% of children with average individual food diversity. The prevalence of acute global malnutrition is 13.1% with the severe form at3%. It should be noted that girls were much more affected by this severe form (3.4%) compared to 2.5% for boys.However, stunting was more prevalent in males than in females with 57.5% and 46.6%,respectively. Moderate form accounting for 28.4% in females compared to 17.5% in males.This nutritional status reflects the relatively acceptable food situation in which these children lived. Furthermore, the appreciation of different foods and modes of consumption have shown on the one hand that the diet remains monotonous. On the other hand, this analysis revealed that cereal-based dishes accompanied by vegetable/leafy sauces predominated in these households in the study area.This situation exposes the members of these households and especially young children to the risk of malnutrition.


Nutrients ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 289
Author(s):  
Aiperi Otunchieva ◽  
Jamila Smanalieva ◽  
Angelika Ploeger

Dietary diversity and adequate nutrient intake are essential for conducting a healthy life. However, women in low-income settings often face difficulties in ensuring dietary quality. This research assessed relationships between the dietary diversity, nutrient adequacy, and socio-economic factors among women of reproductive age (WRA) in Kyrgyzstan. A cross-sectional study was undertaken in four locations, including two rural and two urban areas in the north and south of Kyrgyzstan. A survey with pre-coded and open-ended questions was employed during the interviews of 423 WRAs aged 18–49. Data collection was conducted in March–May 2021. The average value body mass index (BMI) of WRA was 24.2 ± 4.6 kg/m2. The dietary diversity score (DDS) was higher among rural women (common language effect size) cles = 0.67, adjusted p < 0.001) in the northern region (cles = 0.61, p < 0.05) who have cropland (cles = 0.60, p < 0.001) and a farm animal (cles = 0.60, p < 0.05). Mean nutrient adequacy ratio (NAR) was below 1 in most micronutrients, whereas thiamine, riboflavin, vitamins B6 and C, folic acid, calcium, and magnesium were even lower than 0.5. Women with a kitchen garden or a cropland had better NAR energy (cles = 0.57), NAR carbohydrate (cles = 0.60), NAR fiber (cles = 0.60), NAR vitamin B1 (cles = 0.53), and NAR folic acid (cles = 0.54). Respondents who receive remittances and a farm animal have better NARs for energy, carbohydrates, fiber, vitamin B1, folic acid, iron, zinc, and mean adequacy ratio for 16 nutrients (MAR 16) than those who do not. Education and income have a negative correlation with dietary quality. This study contributes to the limited literature on the quality of diets in Kyrgyzstan. Hidden hunger and undernutrition are a severe problem among WRA in low-income settings. Recommendations are including study programs in nutrition, teaching households farming practices, and raising awareness on adequate nutrition.


2007 ◽  
Vol 2 (2) ◽  
pp. 55 ◽  
Author(s):  
Hardinsyah Hardinsyah

<p class="MsoNormal" style="margin: 0cm 12.6pt .0001pt 18pt; text-align: justify; text-indent: 27pt;"><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">Index of food intake diversity or dietary diversity reflects the nutritional quality of the diet; and it is associated with nutritional health outcomes. Understanding factors determine index of dietary diversity is important for improving nutritional-health status of the people.  However, no studies have been done to capture completely the determinant factors of dietary diversity. This journal article is intended to review the determinants factor of dietary diversity from studies done in both develop and developing countries at individual and household levels.  The results show that four studies analyzed the food data at individual level and the other four studies analyzed the food data at household level; and most of the studies were done in USA. Method of dietary diversity measurement and its statistical analysis varies among the studies. A few dietary diversity studies have investigated particular determinant factors with attention given to assessing nutrition knowledge and socio-demographic factors; and the others on economic and ecological factors.  The present review  suggested that the determinant factors of dietary diversity are nutrition knowledge, food preference, household size and composition, food availability and ecological factors, time availability for food preparation, and food purchasing power e.g. income, food expenditure and food prices. Based on this review a comprehensive conceptual framework and model of the determinant factors of dietary diversity could be developed.</span></p>


2017 ◽  
Vol 12 (2) ◽  
pp. 153-153
Author(s):  
Mayumi Ohnishi ◽  
Sebalada Leshabari ◽  
Joel Seme Ambikile ◽  
Kazuyo Oishi ◽  
Yuko Nakao ◽  
...  

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kiros Mezgebo ◽  
Tefera Belachew Lema ◽  
Satheesh Neela

Purpose This paper aims to assess Food Variety Score (FVS), Dietary Diversity Score (DDS) and dietary quality of collected complementary foods consumed in Jimma town, southwest Ethiopia. Design/methodology/approach Multi-stage stratified simple random sampling method was used to identify 384 children who were between 6 to 24 months of age living in Jimma town, Ethiopia. FVS and DDS were assessed based on 24 h recall method. Aliquot of infant’s diet samples were collected from randomly selected 30 household mothers feeding to 6-24 months aged children, and they are combined to get 15 samples by enquiring the ingredients similarly used in preparation. The major nutrients, anti-nutrients were determined with standard procedures. Further, nutrient adequacy and mean adequacy were determined for collected samples. Findings Results showed that mean FVS was 7.14 ± 4.07 (range 0 to 18) and DDS was 3.44 ± 1.75 (range 1 to 8). Consumption of diversified diet among the studied population significantly associated with residence areas of children’s (p = 0.001), age of the care taker (p = 0.001), occupation of care takers (p = 0.001), monthly income (p = 0.001), average money spent on food purchase per month (p = 0.001). Average mean adequacy of macronutrients (crude protein, crude fat and carbohydrate) was observed as 0.81, micronutrient (Fe, Ca, Zn) mean adequacy was 0.49 and Vitamin A adequacy was 0.34 for the complementary foods. All the complementary foods were reported mean adequacy of < 1 for macro and micro nutrients. Originality/value Studies on dietary diversity and dietary quality of the complementary foods were not documented in Jimma town, Ethiopia. The results of this study are highly useful to understand the complementary foods consumption pattern particularly in dietary diversity and food variety. Moreover, results obtained on dietary quality are very useful to recommend further development in complementary food preparations in the study area.


2019 ◽  
Vol 48 (4) ◽  
pp. 336-343
Author(s):  
Adesola Ikudayisi ◽  
Victor Okoruwa ◽  
Bolarin Omonona

Do level of food demanded and dietary diversity jointly provide better estimates on household food security status or is this association modified by level of urbanization within urban setting? To better understand this relationship, we investigated the Nigerian urban household’s food security situation in terms of food access and utilization component through a demand system and diet diversity models using cross-sectional data. Results showed that the food groups considered were normal goods but with varying magnitudes. Most households were price-sensitive, especially to high-value food commodities, while cross-price effect showed a mix of substitute and complementary relationships. However, the level of dietary diversity was moderate. The quantile regression analysis revealed that income and urbanicity index significantly improved consumption of diverse diets, with higher impacts at the lowest quantile. The linkages between rising urbanization and the scourge of food insecurity will require more integration of strategies aimed at tackling the urban food system, infrastructural development and food policy consideration. Therefore, policy options tailored towards better food access and consumption of diverse diet were proffered.


Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3350
Author(s):  
Emily Haynes ◽  
Divya Bhagtani ◽  
Viliamu Iese ◽  
Catherine Brown ◽  
Jioje Fesaitu ◽  
...  

Small Island Developing States (SIDS) have high and increasing rates of diet-related diseases. This situation is associated with a loss of food sovereignty and an increasing reliance on nutritionally poor food imports. A policy goal, therefore, is to improve local diets through improved local production of nutritious foods. Our aim in this study was to develop methods and collect preliminary data on the relationships between where people source their food, their socio-demographic characteristics and dietary quality in Fiji and Saint Vincent and the Grenadines (SVG) in order to inform further work towards this policy goal. We developed a toolkit of methods to collect individual-level data, including measures of dietary intake, food sources, socio-demographic and health indicators. Individuals aged ≥15 years were eligible to participate. From purposively sampled urban and rural areas, we recruited 186 individuals from 95 households in Fiji, and 147 individuals from 86 households in SVG. Descriptive statistics and multiple linear regression were used to investigate associations. The mean dietary diversity score, out of 10, was 3.7 (SD1.4) in Fiji and 3.8 (SD1.5) in SVG. In both settings, purchasing was the most common way of sourcing food. However, 68% (Fiji) and 45% (SVG) of participants regularly (>weekly) consumed their own produce, and 5% (Fiji) and 33% (SVG) regularly consumed borrowed/exchanged/bartered food. In regression models, independent positive associations with dietary diversity (DD) were: borrowing/exchanging/bartering food (β = 0.73 (0.21, 1.25)); age (0.01 (0.00, 0.03)); and greater than primary education (0.44 (0.06, 0.82)). DD was negatively associated with small shop purchasing (−0.52 (95% CIs −0.91, −0.12)) and rural residence (−0.46 (−0.92, 0.00)). The findings highlight associations between dietary diversity and food sources and indicate avenues for further research to inform policy actions aimed at improving local food production and diet.


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