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Purpose: The relative advantages of dietary analysis methods, particularly in identifying dietary patterns associated with bone mass, have not been investigated. We evaluated principal component analysis (PCA), partial least-squares (PLS) and reduced-rank regressions (RRR) in determining dietary patterns associated with bone mass., Methods: Data from 1182 study participants (45.9% males; aged 50 years and above) from the North West Adelaide Health Study (NWAHS) were used. Dietary data were collected using a food frequency questionnaire (FFQ). Dietary patterns were constructed using PCA, PLS and RRR and compared based on the performance to identify plausible patterns associated with bone mineral density (BMD) and content (BMC)., Results: PCA, PLS and RRR identified two, four and four dietary patterns, respectively. All methods identified similar patterns for the first two factors (factor 1, "prudent" and factor 2, "western" patterns). Three, one and none of the patterns derived by RRR, PLS and PCA were significantly associated with bone mass, respectively. The "prudent" and dairy (factor 3) patterns determined by RRR were positively and significantly associated with BMD and BMC. Vegetables and fruit pattern (factor 4) of PLS and RRR was negatively and significantly associated with BMD and BMC, respectively., Conclusions: RRR was found to be more appropriate in identifying more (plausible) dietary patterns that are associated with bone mass than PCA and PLS. Nevertheless, the advantage of RRR over the other two methods (PCA and PLS) should be confirmed in future studies.

Background and Aim: There is limited evidence on the link between the overall nutrients intake from diet and bone mineral density (BMD). We assessed the association between nutrient patterns and BMD among an ageing Australian population., Methods: Participants (n = 1135; males, 45.8%; median age, 62.0 years) with dietary and BMD data in the North West Adelaide Health Study (NWAHS) were included. Dietary intake was assessed using a food frequency questionnaire. BMD was measured using dual-energy X-ray absorptiometry. Nutrient patterns were identified by factor analysis. Linear regression analyses were conducted to assess the association between nutrient patterns and BMD (mg/cm 2 ). Multiple imputation and sensitivity analyses were conducted to investigate the effect of missing data on the estimates., Results: Three nutrient patterns (mixed-source [potassium, calcium, fibre, retinol and Vitamin B 12 ], animal-sourced [cholesterol, protein, Vitamin B 12 and fat] and plant-sourced [fibre, carotene, vitamin C and Lutein]) were identified. After adjusting for socio-demographic, lifestyle and behavioural characteristics, chronic conditions and energy intake, animal (β = -4.07; 95% confidence interval (CI): -11.89, 3.76) and plant-sourced (β = -0.99; 95% CI: -7.43, 5.45) patterns were not associated with BMD. However, we found that the mixed-source pattern was positively associated with BMD (β = 10.86; 95% CI: 1.91, 19.80). We did not find interactions between the pattern, other covariates and BMD. The multiple imputation and sensitivity analyses including missing data identified similar patterns of association between nutrient patterns and BMD., Conclusions: Whereas animal- and plant-sourced nutrient patterns are not associated with BMD, mixed-source pattern may have benefit in prevention of reduced BMD., (Copyright © 2017 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.)

Studies on the association between dietary patterns and bone mineral density (BMD) have reported inconsistent findings. Data from the North West Adelaide Health Study, a population-based cohort study undertaken in Australia, were used to assess this association among adults aged 50 years and above. In this specific study, 1182 adults (545 males, 45·9 %) had dietary data collected using a FFQ and also had BMD measurements taken using dual-energy X-ray absorptiometry. Factor analysis with principal component method was applied to ascertain dietary patterns. Two distinct dietary patterns were identified. Pattern 1 (‘prudent pattern’) was characterised by high intake of fruits, vegetables, sugar, nut-based milk, fish, legumes and high-fibre bread. In contrast, pattern 2 (‘Western pattern’) was characterised by high levels of processed and red meat, snacks, takeaway foods, jam, beer, soft drinks, white bread, poultry, potato with fat, high-fat dairy products and eggs. Compared with the study participants in the first tertile (T1, lowest consumption) of the prudent pattern, participants in the third tertile (T3) had a lower prevalence of low BMD (prevalence ratio (PR)=0·52; 95 % CI 0·33, 0·83) after adjusting for socio-demographic, lifestyle and behavioural characteristics, chronic conditions and energy intake. Participants in T3 of the Western pattern had a higher prevalence of low BMD (PR=1·68; 95 % CI 1·02, 2·77) compared with those in T1. In contrast to the Western diet, a dietary pattern characterised by high intake of fruits, vegetables and dairy products is positively associated with BMD. [ABSTRACT FROM AUTHOR]