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The present study aimed to compare Household Budget Survey (HBS) data on food purchasing and individual food consumption, collected in the same nationwide survey.
Design
Food purchase information for each household was collected by a seven-day collective acquisition diary, applied to 55 970 households. Food consumption information was obtained from household members over 10 years old by the application of two non-consecutive food records in a sub-sample of the HBS. Cooking and correction factors were applied when necessary, and all food items reported were grouped into twelve main food groups. Food purchase and consumption data were presented as absolute weight (g/person per d) and as relative contribution to energy intake (%) for the overall study population, which was stratified according to household income.
Setting
Brazil.
Participants
National estimates of food consumption and purchase for Brazil.
Results
The greatest differences between purchase and consumption data (purchase minus consumption) were observed for meat (−168 g), beans/legumes (−48 g), roots/tubers (−36 g) and fruits (−31 g). When expressed in terms of energy contribution, the highest differences were found for cereals (13 %) and oils and fats (11 %). Differences between purchase and consumption data were generally lower in the highest compared with the lowest household income quintile; and were lower for most main food groups when considering only foods reported as being eaten at home.
Conclusions
With few exceptions, food purchase expressed as relative energy contribution, as opposed to absolute weight, can provide a good picture of actual consumption in the Brazilian population.
Various 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.
Design
A 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.
Setting
Rural farm households in western Kenya.
Participants
Data collected from 809 households and 1556 individuals living in these households (782 female adults, 479 male adults, 295 children aged 6–59 months).
Results
All 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.
Conclusions
Dietary 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.
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