Use of biological markers to validate self-reported dietary intake in a random sample of the European Prospective Investigation into Cancer United Kingdom Norfolk cohort

McKeown, Nicola M.; Day, Nicholas E.; Welch, Ailsa; Runswick, Shirley A.; Luben, Robert; Mulligan, Angela A.; McTaggart, Alison; Bingham, Sheila

doi:10.1093/ajcn/74.2.188

Cited by 203 publications

(177 citation statements)

References 39 publications

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“…The consistency of the 7DD, HLQ and FFQ in the present analysis of alcohol and risk of CHD is aligned with the results of previous validation studies, in which good agreement was found among self-reported instruments (26)(27)(28)(29)(30)(31) . Some of the correlation between self-reported instruments may be attributable to within-person error (32) .…”

Section: Discussionsupporting

confidence: 88%

CHD risk in relation to alcohol intake from categorical and open-ended dietary instruments

Ward

Luben

Wareham

et al. 2010

Public Health Nutr.

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Objective: To examine the risk of CHD in relation to alcohol intake from three different instruments. Design: In the European Prospective Investigation into Cancer in Norfolk study, weekly alcohol intake was estimated from a single question in a mail-in health and lifestyle questionnaire (HLQ), a semi-quantitative FFQ, and a 7 d diet diary (7DD). Information on smoking status, physical activity, disease history, social class and medication use was reported in the HLQ. Height, weight, blood pressure and blood lipids were measured at a health check-up. The average length of follow-up was 11 years. The association between alcohol intake and incident fatal and non-fatal CHD in a nested case-control sample was calculated using logistic regression. Setting: Norfolk, England. Subjects: A total of 2151 cases of incident fatal and non-fatal CHD and 5354 controls. Results: The Spearman correlation values between the 7DD, FFQ and HLQ alcohol estimates ranged from r 5 0?70 to 0?82 (P , 0?0001 for all r values). Alcohol intake from all instruments was inversely associated with the risk of CHD in age-and multivariate-adjusted models. The relationships between the risk of CHD and alcohol intake from the 7DD, HLQ or FFQ were not significantly different from each other (P . 0?10). A marginal difference between men and women was detected for the risk of CHD in relation to HLQ alcohol intake (P 5 0?065). Conclusions: In conclusion, while the instruments were not uniform in their assessment of alcohol intake levels, the 7DD, HLQ and FFQ yielded similar inverse associations between alcohol intake and risk of CHD.

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Section: Discussionsupporting

confidence: 88%

CHD risk in relation to alcohol intake from categorical and open-ended dietary instruments

Ward

Luben

Wareham

et al. 2010

Public Health Nutr.

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“…This observation corresponds to several urinary nitrogen biomarker studies (Rothenberg et al, 1993;Rothenberg, 1994;Bingham and Day, 1997;Bingham et al, , 2001Klipstein-Grobusch et al, 1998;Day et al, 2001;McKeown et al, 2001;Mahabir et al, 2006) and a pooled analysis of fibre and colorectal cancer (Dahm et al, 2010). However, evidence that 7DD and the FFQ estimates of alcohol were similarly associated with CHD, suggesting that such differences may be specific to specific nutrients rather than existing instrument-wide (Ward et al, 2010).…”

Section: Discussionsupporting

confidence: 81%

“…Biomarker validation studies have yielded evidence of more accurate reporting of total energy (Mahabir et al, 2006), protein and potassium (Rothenberg et al, 1993;Rothenberg, 1994;Bingham and Day, 1997;Bingham et al, , 2001Klipstein-Grobusch et al, 1998;Day et al, 2001;McKeown et al, 2001) in the DD relative to the FFQ, though this is not a universal observation (Scagliusi et al, 2008). In the absence of biomarkers, the relative accuracy of dietary assessment methods can be assessed by comparing diet-disease associations ascertained from different instruments.…”

Section: Introductionmentioning

confidence: 99%

Fibre intake in relation to serum total cholesterol levels and CHD risk: a comparison of dietary assessment methods

et al. 2011

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Background/Objectives: Prospective diet diaries may be more accurate than retrospective food frequency questionnaires (FFQ). The objective of this study was to compare FFQ and 7-day diet diary (7DD) measurements of fibre intake with the incidence of coronary heart disease (CHD). Subjects/Methods: We compared 7DD and FFQ fibre intake in a nested case-control study in a population of 25 639 men and women aged 40-79 years, surveyed in 1993-97 and followed up until 2007. Among 2151 CHD cases and 5354 controls, FFQ and 7DD fibre intake (6 g/day) was examined in relation to serum total cholesterol and CHD using linear and logistic regression adjusted for age and additionally for body mass index, physical activity, smoking status, family history of CHD, social class, diabetes, alcohol, energy, saturated fat and use of lipid lowering medication, antihypertensive medication or aspirin. Results: Age-adjusted serum total cholesterol was inversely associated with 7DD fibre among men and women, but with FFQ fibre among men only. In the multivariate analysis, associations with 7DD fibre were attenuated among men (regression coefficient À0.036 mmol/l, s.e. 0.021, P-value 0.087) and women (regression coefficient À0.069 mmol/l, s.e. 0.036, P-value 0.053), and were non-significant for FFQ fibre. Among men, age-adjusted CHD risk was inversely associated with 7DD fibre (odds ratio (OR) 0.84, 95% confidence interval (CI) 0.79-0.90), but not with FFQ fibre (OR 0.96, 95% CI 0.90-1.12). Among women, age-adjusted CHD risk was inversely associated with 7DD fibre (OR 0.83, 95% CI 0.75-0.93), and had a weaker inverse borderline-significant association with FFQ fibre (OR 0.93, 95% CI 0.87-1.01). Multivariate models yielded similar results. Conclusions: Inconsistencies in diet-CHD relationships in population studies may be associated with the use of different dietary assessment methods.

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“…Self‐report measure of fruit and vegetables consumption consisted of a validated questionnaire FFQ (McKeown et al ., 2001) calculated as a delta change score between participants' measures obtained at baseline and at follow‐up. This study did not use an objective measure of consumption of fruit and vegetables.…”

Section: Methodsmentioning

confidence: 99%

Is the intention–behaviour gap greater amongst the more deprived? A meta‐analysis of five studies on physical activity, diet, and medication adherence in smoking cessation

Vasiljevic

Griffin

et al. 2015

British J Health Psychol

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ObjectivesUnhealthy behaviour is more common amongst the deprived, thereby contributing to health inequalities. The evidence that the gap between intention and behaviour is greater amongst the more deprived is limited and inconsistent. We tested this hypothesis using objective and self‐report measures of three behaviours, both individual‐ and area‐level indices of socio‐economic status, and pooling data from five studies.DesignSecondary data analysis.MethodsMultiple linear regressions and meta‐analyses of data on physical activity, diet, and medication adherence in smoking cessation from 2,511 participants.ResultsAcross five studies, we found no evidence for an interaction between deprivation and intention in predicting objective or self‐report measures of behaviour. Using objectively measured behaviour and area‐level deprivation, meta‐analyses suggested that the gap between self‐efficacy and behaviour was greater amongst the more deprived (B = .17 [95% CI = 0.02, 0.31]).ConclusionsWe find no compelling evidence to support the hypothesis that the intention–behaviour gap is greater amongst the more deprived. Statement of contribution What is already known on this subject? Unhealthy behaviour is more common in those who are more deprived.This may reflect a larger gap between intentions and behaviour amongst the more deprived.The limited evidence to date testing this hypothesis is mixed. What does this study add? In the most robust study to date, combining results from five trials, we found no evidence for this explanation.The gap between intentions and behaviour did not vary with deprivation for the following: diet, physical activity, or medication adherence in smoking cessation.We did, however, find a larger gap between perceived control over behaviour (self‐efficacy) and behaviour in those more deprived.These findings add to existing evidence to suggest that higher rates of unhealthier behaviour in more deprived groups may be reduced by the following: Strengthening behavioural control mechanisms (such as executive function and non‐conscious processes) or Behaviour change interventions that bypass behavioural control mechanisms.

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Use of biological markers to validate self-reported dietary intake in a random sample of the European Prospective Investigation into Cancer United Kingdom Norfolk cohort

Cited by 203 publications

References 39 publications

CHD risk in relation to alcohol intake from categorical and open-ended dietary instruments

CHD risk in relation to alcohol intake from categorical and open-ended dietary instruments

Fibre intake in relation to serum total cholesterol levels and CHD risk: a comparison of dietary assessment methods

Is the intention–behaviour gap greater amongst the more deprived? A meta‐analysis of five studies on physical activity, diet, and medication adherence in smoking cessation

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