Observational analysis reveals significant underreporting of energy intake in dietary assessments, suggesting implications for public health metrics.
Measurement error in estimation of energy intake from self-reported dietary assessment is a common phenomenon, which can lead to implications for epidemiological studies and surveys that aim to determine relationships between diet and health. The aim of this study was to examine measurement error in estimated energy intakes within the UK National Diet and Nutrition Survey (NDNS, 2008-2015), to determine the degree of error, if measurement error has changed over the course of data collection periods and to identify any related associations. Data from 770 (383 males, 387 females) participants from the UK NDNS recruited between 2008-2011 and 2013-2015 who had height and weight measurements, at least three of four diet diary days, and total energy expenditure estimations using the doubly labelled water method were used for this secondary analysis study. Data were obtained via the UK data service (https://ukdataservice.ac.uk/). Overall, when compared to DLW total energy expenditure measurements, energy intake (EI) from self-report dietary data was underestimated by 27% (95%CI: 25%, 28%), and did not differ significantly in combined age/sex strata between survey years 2008-2011 and survey years 2013-2015 (25% (95%CI: 23%, 27%) vs.28% (95%CI: 26%, 31%) respectively). Likewise, measurement error in reported EI in the majority of age/sex strata generally remained stable. Measurement error in reported EI was associated with body mass index (-0.02 ratio units per kg/m2 (95%CI: -0.02,-0,01); mean difference of 56 kCal per kg/m2 (95%CI: 47.1, 64.3)), age (mean difference of -8.4 Kcal per y (95%CI: -1.2, -4.8)) and sex (mean difference of -173 kCal (Females) (95%CI: -252.7, -93.9)) and not associated with ethnicity, education, equivalised income or geography. We show that whilst measurement error in estimation of EI is evident within the UK NDNS, this has remained similar. Measurement error was associated with body mass index, age and sex.
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Venables et al. (2025) studied this question.
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