The effect of under-reporting of energy intake on dietary patterns and on the associations between dietary patterns and self-reported chronic disease in women aged 50-69 years.

The aim of this cross-sectional study was to investigate whether under-reporting of energy intake affects derived dietary patterns and the association between dietary patterns and self-reported chronic disease. Diets of 6204 women aged 50-69 years participating in the Norwegian Breast Cancer Screening Program were assessed using a 253-item FFQ. We identified dietary patterns using principal component analysis. According to the revised Goldberg cut-off method, women with a ratio of reported energy intake:estimated BMR<1·10 were classified as low energy reporters (n 1133, 18 %). We examined the associations between dietary patterns and self-reported chronic diseases by log-binomial regression, and the results are presented as prevalence ratios (PR) and CI. 'Prudent', 'Western' and 'Continental' dietary patterns were identified among all reporters and plausible reporters. The PR expressing the associations between the 'Western' and 'Prudent' dietary pattern scores and self-reported chronic diseases were consistently highest among plausible reporters except for joint/muscle/skeletal disorders. The largest difference in PR among plausible v. all reporters was found for the association between the 'Prudent' pattern and diabetes (PR for highest v. lowest tertile: PRall reporters 2·16; 95 % CI 1·50, 3·13; P trend<0·001; PRplausible reporters 2·86; 95 % CI 1·81, 4·51; P trend<0·001). In conclusion, our results suggest that under-reporting can result in systematic error that can affect the association between dietary pattern and disease. In studies of dietary patterns, investigators ought to consider reporting effect estimates both for all individuals and for plausible reporters.

Dietary patterns of women aged 50-69 years and associations with nutrient intake, sociodemographic factors and key risk factors for non-communicable diseases.

OBJECTIVE: In women, the risk for non-communicable diseases increases after menopause. We aimed to identify major dietary patterns and study their associations with nutrient intake, sociodemographic factors and risk factors for non-communicable diseases among women aged 50-69 years. DESIGN: A cross-sectional study. Food intake was recorded by a 253-item FFQ. Dietary patterns were identified using principal component analysis. The associations between the dietary patterns and nutrients were described by Pearson's correlation coefficients and multiple regression analysis was used to examine the associations between the dietary patterns and age, education, BMI, physical activity and smoking. SETTING: The Norwegian Breast Cancer Screening Programme. SUBJECTS: Women (n 6298) aged 50-69 years. RESULTS: Three dietary patterns were identified: 'Prudent', 'Western' and 'Continental'. Adherence to the 'Prudent' pattern was related to older age, higher education, higher BMI, more physical activity (P trend<0·001) and being a non-smoker (P<0·001). Adherence to the 'Western' pattern was related to older age, lower education, higher BMI, less physical activity (0·001≤P trend≤0·006) and lower alcohol intake (r =-0·28). Adherence to the 'Continental' pattern was related to younger age, higher education, higher BMI, less physical activity, (P trend<0·001), being a smoker (P<0·001) and higher alcohol intake (r=0·36). CONCLUSIONS: Three distinct dietary patterns were identified. High adherence to a 'Prudent' pattern was associated with a healthy lifestyle, while high adherence to a 'Western' or 'Continental' pattern was associated with an unhealthy lifestyle. These findings are valuable knowledge for health authorities when forming strategies to promote a healthier lifestyle among women.

Evaluation of dietary patterns among Norwegian postmenopausal women using plasma carotenoids as biomarkers.

A number of studies have examined dietary patterns in various populations. However, to study to what extent such patterns capture meaningful differences in consumption of foods is of interest. In the present study, we identified important dietary patterns in Norwegian postmenopausal women (age 50-69 years, n 361), and evaluated these patterns by examining their associations with plasma carotenoids. Diet was assessed by a 253-item FFQ. These 253 food items were categorised into forty-six food groups, and dietary patterns were identified using principal component analysis. We used the partial correlation coefficient (r(adj)) and multiple linear regression analysis to examine the associations between the dietary patterns and the plasma carotenoids α-carotene, ß-carotene, ß-cryptoxanthin, lutein, lycopene and zeaxanthin. Overall, four dietary patterns were identified: the 'Western'; 'Vegetarian'; 'Continental'; 'High-protein'. The 'Western' dietary pattern scores were significantly inversely correlated with plasma lutein, zeaxanthin, lycopene and total carotenoids (-0·25 ≤ r(adj) ≤ -0·13). The 'Vegetarian' dietary pattern scores were significantly positively correlated with all the plasma carotenoids (0·15 ≤ r(adj) ≤ 0·24). The 'Continental' dietary pattern scores were significantly inversely correlated with plasma lutein and α-carotene (r(adj) = -0·13). No significant association between the 'High-protein' dietary pattern scores and the plasma carotenoids was found. In conclusion, the healthy dietary pattern, the 'Vegetarian' pattern, is associated with a more favourable profile of the plasma carotenoids than our unhealthy dietary patterns, the 'Western' and 'Continental' patterns.