Comparison between household budget survey and 24-hour recall data in a nationally representative sample of Polish households

Abstract

Objective: Household budget survey (HBS) data are used regularly for nutritional epidemiological purposes. The validity of HBS data, however, is not well established. The aim of this project was to compare HBS and individual nutrition survey (INS) data in a nationally representative sample of Polish households. Design: Estimates of food consumption and nutrient intake were compared between household food acquisition data collected over 1 month and a single 24-hour recall collected from every household member in a nationally representative sample of Polish households surveyed between September and November 2000. To facilitate the comparison, INS food consumption data excluded food eaten away from home and were modified using a computer program to estimate food 'as purchased' (including disaggregation of recipe data) and to allow for wastage. Setting: Poland. Subjects: Participants were 3716 individuals in 1215 households (representing cooperation rates of 86.2% and 89.2%, respectively). Results: Good agreement was shown between median estimates of foods such as potatoes, vegetables (including processed), meat, meat products and poultry, and animal fats (excluding butter), but agreement was poor for bread and rolls, fruit, vegetable fats and oils, eggs and six other food groups. Estimates of energy and nutrient intake were within^10% with the exceptions of polyunsaturated fats, potassium and vitamin C. Conclusions: Possible reasons for differences in findings between the two surveys include survey bias (e.g. social approval bias leading to overreporting of fruit), seasonal variations (e.g. high potato purchases between September and November) and aspects of the methodology (e.g. HBS data were based on records collected over 1 month, whereas 24-hour recall data were based on recalls collected from all household respondents on only 1 day and averaged for each household type). HBSs provide useful data for epidemiological research, but findings need to be interpreted in the light of other data regarding consumption, and numerous factors that may affect consumption need to be taken into account.

Comparison of national food supply, household food availability and individual food consumption data in Portugal

“…Higher values for fats and oils in HBS data were also reported in Sweden (Becker 2001), Poland (Sekula et al 2005) and Spain (Serra-Majem et al 2003). In comparison with HBS, an underreporting of sodium intake was also found in the Polish individual dietary data (Sekula et al 2005).…”

“…In fact, even when comparing data from a different assessment level taken from the same sample, as in the case of individualbased further evaluation of HBS subsamples (Sekula et al 2005;Becker 2001;Nelson 1986), or at the same assessment level but from different sources (Paterakis and Nelson 2003;Sekula et al 1991), agreement is never absolute and no obvious explanations for this can always be found.…”

“…Although a few studies have compared different sources of dietary data, they generally agree that the discrepancies between the findings from different countries highlight the importance of country-specific analysis and its implications in epidemiological research (Serra-Majem et al 2003;Sekula et al 2005;Paterakis and Nelson 2003).…”

Nutrição e saúde: o papel do ultraprocessamento de alimentos

“…The comparison between national household budget and individual nutrition surveys in four European countries showed good correlations between data sources for almost all food groups (NASKA et al, 2001). A study from Poland, on the other hand, found different results, showing discrepancies between data sources for many food groups (SEKULA et al, 2005).…”

“…In addition, food acquisition surveys do not account for waste from cooking, spoilage, or leftover, and meals not eaten at home. Analyses of a limited 143 number of countries and food groups suggested that household budget surveys estimates can significantly differ from individual dietary consumption (BECKER, 2001;CLARO et al, 2010;NASKA et al, 2001;SEKULA et al, 2005).…”