Determinants and nature of dietary underreporting in a free-living population: the Fleurbaix Laventie Ville Santé (FLVS) study

Lafay, Lionel; Basdevant, Arnaud; Munier, Charles; Vray, M; Balkau, B.; Jm, Borys; Eschwège, É.; Romon, Monique

doi:10.1038/sj.ijo.0800443

Cited by 157 publications

(148 citation statements)

References 33 publications

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“…This procedure, known as the Goldberg cut-off technique, has demonstrated a widespread tendency to underestimation in large national dietary surveys from several countries as well as in many smaller surveys (Heywood et al, 1993;Fogelholm et al, 1996;Briefel et al, 1997;Lafay et al, 1997;Price et al, 1997;Pryer et al, 1997;Rothenberg et al, 1997;Voss et al, 1998). However, this technique was devised to evaluate the overall bias towards under-reporting at the group level.…”

Section: Introductionmentioning

confidence: 99%

An evaluation of the sensitivity and specificity of energy expenditure measured by heart rate and the Goldberg cut-off for energy intake: basal metabolic rate for identifying mis-reporting of energy intake by adults and children: a retrospective analysis

et al. 2003

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Objective: To identify adults and children as under-(UR), acceptable (AR), or over-reporters (OR) of energy intake (EI) using energy expenditure measured by doubly labelled water (DLW) (EE DLW ), and to use this as a reference to determine the sensitivity and specificity of (i) EE measured by heart rate (EE HR ), and (ii) the Goldberg cut-off technique for classifying subjects into the same categories. Design: Retrospective analysis of a dataset comprising concurrent measurements of EE DLW , EE HR , basal metabolic rate (BMR), and EI by weighed record (EI WR ) on 14 adults and 36 children. EI by diet history (EI DH ) was also measured in the children only. EI WR :EE DLW provided the reference definition of subjects as UR, AR or OR. Three strategies for classifying mis-reporters based on EE HR and Goldberg cut-offs were then explored. Sensitivity and specificity were calculated respectively as the proportion of UR and non-UR correctly identified.Results: Approximately 80% of all subjects were AR. For EI WR and EI DH respectively, the sensitivity of EE HR was 0.50 and 1.00, and specificity was 0.98 and 1.00. Although designating subjects as having low, medium or high activity levels (EE HR :BMR meas ) and calculating cut-offs based on appropriate WHO physical activity level PALs did not change sensitivity, specificity dropped to 0.98 (EI WR ) and 0.97 (EI DH ). Cut-offs based on a PAL of 1.55 reduced sensitivity to 0.33 (EI WR ) and 0.00 (EI DH ), but specificity remained unchanged. The sensitivity of all cut-offs based on physical activity level (PALs) for EI WR was 0.50 (adults) and 0.25 (children). Conclusions: If the precision of EE HR was improved, it may be useful for identifying mis-reporters of EI.

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Section: Introductionmentioning

confidence: 99%

An evaluation of the sensitivity and specificity of energy expenditure measured by heart rate and the Goldberg cut-off for energy intake: basal metabolic rate for identifying mis-reporting of energy intake by adults and children: a retrospective analysis

et al. 2003

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“…In 63 % of groups mean EI was more than 10 % below mean EE and in only one group was it more than 10 % above EE. Comparisons of EI expressed as a multiple of BMR (EI : BMR) with the physical activity level (PAL) for a sedentary lifestyle have confirmed the widespread tendency to underestimation of EI in large national dietary surveys from several countries (Heywood et al 1993;Klesges et al 1995;Ballard-Barbash et al 1996;Fogelholm et al 1996;Briefel et al 1997;Lafay et al 1997;Price et al 1997;Pryer et al 1997;Rothenberg et al 1997;Braam et al 1998;Gnardellis et al 1998;Voss et al 1998) and also many smaller studies. Mean reported EI : BMR values were predominantly in the range of 1⋅2-1⋅5, whereas DLW studies suggest that EE is greater than 1⋅55 × BMR in all age groups except those aged over 75 years .…”

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confidence: 86%

Validation of dietary intakes measured by diet history against24 h urinary nitrogen excretion and energy expenditure measuredby the doubly-labelled water method in middle-aged women

Black¹,

Welch²,

Bingham³

2000

Br J Nutr

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A diet history method for estimating energy and N intakes was validated against 24 h urinary N excretion and energy expenditure measured by the doubly-labelled water (DLW) method. Fortyeight women aged 50-65 years were studied over 1 year. Weighed diet records from 4 d and two 24 h urine collections, for measurement of urinary N excretion, were obtained in each of four seasons. At the end of the year, a diet history was obtained, BMR was measured by whole-body calorimetry, and, in sixteen women, total energy expenditure (EE) was measured by DLW. Energy intake (EI) and N intake (NI) were calculated using food tables. Using weighed records and diet history respectively mean NI were 11⋅21 (SD 2⋅09) g and 11⋅47 (SD 2⋅40) g (NS) and EI were 8⋅08 (SD 1⋅54) MJ and 8⋅20 (SD 1⋅86) MJ (NS). Mean urine N : NI and EI : BMR values indicated bias to under-reporting by weighed record and diet history techniques in some individuals, but there was no significant difference between these measures at the group level. The Pearson correlation coefficient (r) for urine N v. NI was 0⋅81 for the weighed record and 0⋅38 for the diet history. The correlation of EE v. EI was r 0⋅48 for weighed record and r 0⋅11 for diet history. In this study the diet history gave the same estimate of mean intake, but the weighed record appeared to perform better in ranking individuals. Diet history: Diet record: ValidationThe diet history method of assessing dietary intake is favoured for two reasons. First, as a retrospective questionnaire method, it places less burden on subjects than do prospective diet records. Second, it is believed to obtain a better measure of long-term habitual intake than diet records, which, of necessity, record intake on a limited number of days. The debate over the respective merits of the weighed diet record and the diet history is a long one and many studies over several decades have compared their relative validity. On balance the diet history tends to obtain higher mean energy intakes (EI) (see reviews by Bingham, 1987;Black et al. 1991). However, without external validation such studies have been unable to reach a firm conclusion as to which, if either, is valid in absolute terms.A valid dietary assessment should give an estimate of mean intake that is close to the true intake and also be able to rank individuals correctly for intake within acceptable limits of precision. The two requirements do not necessarily go together. For example, a dataset of valid 24 h recalls would give a valid estimate of mean intake but could not rank individuals correctly for habitual intake. A diet record of sufficient length to measure habitual intake might rank individuals correctly but give an invalid estimate of mean intake due to systematic bias across all subjects. If random errors are large and if systematic bias is variable across individuals, then ranking will also be poor. Studies of relative validity indicate whether one method gives a higher intake than another, and comparison with expected energy requirements can help determine ...

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“…23,24 This under-reporting, primarily by overweight and obese persons, may be specific to energy-dense snack and dessert-type foods. [25][26][27][28] We recently reported that implausible energy intakes affect apparent eating patterns as well, being associated with lower reported meal and snack frequencies, energy densities and portions consumed. 9,10,22 With aging comes a decline in the ability to regulate food intake.…”

Section: Introductionmentioning

confidence: 99%

“…As it has been well established that overweight and obese individuals under-report energy intake by 30-50%, 23,24 and physiologically implausible reporters may contribute to inaccuracy in relationships between dietary factors and BMI, 22,27,[38][39][40][41] we utilized our recently validated method for identifying implausible energy intake reports (i.e., those incompatible with long-term weight stability) 22 and limited our analysis to only those subjects reporting physiologically plausible energy intakes. We hypothesized that older subjects would have weaker associations of dietary factors with BMI compared to younger subjects.…”

Section: Introductionmentioning

confidence: 99%

Eating patterns and dietary composition in relation to BMI in younger and older adults

et al. 2006

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Objective: To compare relative associations of eating patterns and dietary composition with body mass index (BMI) in younger (aged 20-59 years, n ¼ 1792) and older (aged 60-90 years, n ¼ 893) participants in the Continuing Survey of Food Intakes by Individuals, collected 1994Individuals, collected -1996. Methods: Data from two 24-h dietary recalls from individuals reporting physiologically plausible energy intake (within 722% of predicted energy requirements, based on previously published methods) were used. Results: Mean reported energy intake was 96 and 95% of predicted energy requirements in younger and older subjects, respectively. Older subjects were less likely than younger subjects to skip a meal, but snacking was common in both age groups. Fiber density was significantly higher in the older group. A higher BMI in both age groups was associated with a higher total daily energy intake, and higher energy intakes at all eating occasions. In both age groups, eating frequency was positively associated with energy intake, and eating more than three times a day was associated with being overweight or obese. In the younger group but not the older group, a lower fiber density coupled with higher percentage of energy from fat was independently associated with having a higher BMI. Conclusions: While no one eating occasion contributes more than any other to excess adiposity, eating more often than three times a day may play a role in overweight and obesity in both younger and older persons. A reduced satiety response to dietary fiber in addition to lower energy expenditure may potentially further contribute to weight gain in older persons.

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Determinants and nature of dietary underreporting in a free-living population: the Fleurbaix Laventie Ville Santé (FLVS) study

Cited by 157 publications

References 33 publications

An evaluation of the sensitivity and specificity of energy expenditure measured by heart rate and the Goldberg cut-off for energy intake: basal metabolic rate for identifying mis-reporting of energy intake by adults and children: a retrospective analysis

An evaluation of the sensitivity and specificity of energy expenditure measured by heart rate and the Goldberg cut-off for energy intake: basal metabolic rate for identifying mis-reporting of energy intake by adults and children: a retrospective analysis

Validation of dietary intakes measured by diet history against24 h urinary nitrogen excretion and energy expenditure measuredby the doubly-labelled water method in middle-aged women

Eating patterns and dietary composition in relation to BMI in younger and older adults

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