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

Ward, Heather; Luben, Robert; Wareham, Nicholas J.; Khaw, Kay-Tee

doi:10.1017/s1368980010002041

Cited by 4 publications

(7 citation statements)

References 36 publications

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“…Intake of alcohol and other nutrients was then estimated by multiplying frequency of intake by reported portion size. Consistent with published reports, diet records collected on a 6% sub-sample of WHI women showed a correlation between alcohol intake estimated from the FFQ and diet record of 0.86 (21, 22). Total nonalcohol energy intake was calculated by multiplying the amount of alcohol consumed (g) by 7 (kcal/g) and subtracting this value from total energy intake (kcal).…”

Section: Methodssupporting

confidence: 88%

Alcohol consumption and body weight change in postmenopausal women: results from the Women's Health Initiative

et al. 2012

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Objective: To determine if alcohol consumption is associated with incident overweight or obesity in normal-weight, postmenopausal women. Design: Prospective cohort study considering baseline alcohol consumption and subsequent weight change over 7 years. Subjects: 15 920 normal-weight (BMI: 18.5–24.9 kg/m2), postmenopausal women enrolled in the Women’s Health Initiative clinical trial (WHI CT). Measurements: Body weight change and incident overweight and obesity (BMI, 25.0–29.9 and ≥ 30 kg/m2) over 7 years. Results: A third of the 13 822 women included in the analytical cohort reported no alcohol consumption. BMI differed little between abstainers (22.8 ± 1.58 kg/m2) and alcohol consumers in the upper quintile (22.7 ± 1.53 kg/m2). Among normal-weight women the risk of becoming overweight or obese over a 7-year follow-up period was 35 or 88% lower, respectively, for women in the upper quintile of alcohol intake relative to abstainers (HR, 0.65; 95% CI, 0.58–0.73 or HR, 0.12; 95% CI, 0.05–0.25, respectively). Risk for overweight and obesity was not significantly modified by age. Wine consumption showed the greatest protective association for risk of overweight (HR, 0.75; 95% CI, 0.68–0.84), followed by liquor (HR, 0.85; 95% CI, 0.78–0.93) and beer (HR, 0.90; 95% CI, 0.82–1.00). Conclusion: Postmenopausal women of normal-weight who report moderate alcohol intake have reduced risk of becoming overweight or obese over time. Perhaps weight control measures in this population should target behaviors other than reduction in alcohol for those consuming moderate amounts.

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Section: Methodssupporting

confidence: 88%

Alcohol consumption and body weight change in postmenopausal women: results from the Women's Health Initiative

et al. 2012

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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). The episodic nature of alcohol consumption, in contrast with a habitual dietary component such as fibre, may explain the contrast between the results of this study of fibre and those found for alcohol in EPIC-Norfolk (Ward et al, 2010).…”

Section: Discussionsupporting

confidence: 81%

“…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). The episodic nature of alcohol consumption, in contrast with a habitual dietary component such as fibre, may explain the contrast between the results of this study of fibre and those found for alcohol in EPIC-Norfolk (Ward et al, 2010). To understand the extent to which heterogeneity amongst cohort study results can be attributed to differences between dietary instruments, further comparisons of diet-disease relationships analysed by multiple dietary assessment methods is required.…”

Section: Discussionmentioning

confidence: 99%

“…In the absence of biomarkers, the relative accuracy of dietary assessment methods can be assessed by comparing diet-disease associations ascertained from different instruments. Several studies have detected expected diet-disease associations using 7DD but not FFQ data (Bingham et al, 2003b;Freedman et al, 2006;Dahm et al, 2010), though there is evidence of equivalence between these instruments for other associations (Ward et al, 2010). Drawing on data from the prospective EPIC-Norfolk study, the objective of this analysis was to compare the FFQ and DD estimates of fibre intake in relation to serum total cholesterol and the risk of coronary heart disease (CHD).…”

Section: Introductionmentioning

confidence: 99%

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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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“…For instance, a significant negative relationship between dietary fiber consumption and risk of colorectal cancer was observed when using food records but not FFQs . In contrast, the relationship between alcohol intake and risk of coronary heart disease was found to be similar using both methods . Variation between food records and FFQs in linking fiber intake to the risk of coronary heart disease has also been shown .…”

Section: Issues In Nutritional Clinical Trials and Epidemiology Studiesmentioning

confidence: 97%

The role of metabonomics as a tool for augmenting nutritional information in epidemiological studies

et al. 2013

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Most chronic diseases have been demonstrated to have a link to nutrition. Within food and nutritional research there is a major driver to understand the relationship between diet and disease in order to improve health of individuals. However, the lack of accurate dietary intake assessment in free-living populations, makes accurate estimation of how diet is associated with disease risk difficulty. Thus, there is a pressing need to find solutions to the inaccuracy of dietary reporting. Metabolic profiling of urine or plasma can provide an unbiased approach to characterizing dietary intake and various high-throughput analytical platforms have been used in order to implement targeted and nontargeted assays in nutritional clinical trials and nutritional epidemiology studies. This review describes first the challenges presented in interpreting the relationship between diet and health within individual and epidemiological frameworks. Second, we aim to explore how metabonomics can benefit different types of nutritional studies and discuss the critical importance of selecting appropriate analytical techniques in these studies. Third, we propose a strategy capable of providing accurate assessment of food intake within an epidemiological framework in order establish accurate associations between diet and health.

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

Cited by 4 publications

References 36 publications

Alcohol consumption and body weight change in postmenopausal women: results from the Women's Health Initiative

Alcohol consumption and body weight change in postmenopausal women: results from the Women's Health Initiative

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

The role of metabonomics as a tool for augmenting nutritional information in epidemiological studies

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