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Open Access Research article

Dietary patterns in Canadian men and women ages 25 and older: relationship to demographics, body mass index, and bone mineral density

Lisa Langsetmo1, Suzette Poliquin1, David A Hanley2, Jerilynn C Prior3, Susan Barr4, Tassos Anastassiades5, Tanveer Towheed5, David Goltzman6, Nancy Kreiger78* and the CaMos Research Group

Author Affiliations

1 CaMos National Coordinating Centre, McGill University, 687 Pine Ave W, Montreal, QC, H3A 1A1, Canada

2 Department of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada

3 Department of Medicine, University of British Columbia, 2775 Laurel St, Vancouver, BC, V5Z 1M9, Canada

4 Department of Human Nutrition, University of British Columbia, 2205 East Mall, Vancouver, BC, V5Z 1M9, Canada

5 Department of Medicine, Queen's University, Etherington Hall, Kingston, ON, K7L 3N6, Canada

6 Department of Medicine, McGill University, 687 Pine Ave W, Montreal, QC, Canada

7 Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, ON, Canada

8 Cancer Care Ontario, 620 University Avenue, Toronto, ON M5G 2L7, Canada

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BMC Musculoskeletal Disorders 2010, 11:20  doi:10.1186/1471-2474-11-20

Published: 28 January 2010

Abstract

Background

Previous research has shown that underlying dietary patterns are related to the risk of many different adverse health outcomes, but the relationship of these underlying patterns to skeletal fragility is not well understood. The objective of the study was to determine whether dietary patterns in men (ages 25-49, 50+) and women (pre-menopause, post-menopause) are related to femoral neck bone mineral density (BMD) independently of other lifestyle variables, and whether this relationship is mediated by body mass index.

Methods

We performed an analysis of 1928 men and 4611 women participants in the Canadian Multicentre Osteoporosis Study, a randomly selected population-based longitudinal cohort. We determined dietary patterns based on the self-administered food frequency questionnaires in year 2 of the study (1997-99). Our primary outcome was BMD as measured by dual x-ray absorptiometry in year 5 of the study (2000-02).

Results

We identified two underlying dietary patterns using factor analysis and then derived factor scores. The first factor (nutrient dense) was most strongly associated with intake of fruits, vegetables, and whole grains. The second factor (energy dense) was most strongly associated with intake of soft drinks, potato chips and French fries, certain meats (hamburger, hot dog, lunch meat, bacon, and sausage), and certain desserts (doughnuts, chocolate, ice cream). The energy dense factor was associated with higher body mass index independent of other demographic and lifestyle factors, and body mass index was a strong independent predictor of BMD. Surprisingly, we did not find a similar positive association between diet and BMD. In fact, when adjusted for body mass index, each standard deviation increase in the energy dense score was associated with a BMD decrease of 0.009 (95% CI: 0.002, 0.016) g/cm2 for men 50+ years old and 0.004 (95% CI: 0.000, 0.008) g/cm2 for postmenopausal women. In contrast, for men 25-49 years old, each standard deviation increase in the nutrient dense score, adjusted for body mass index, was associated with a BMD increase of 0.012 (95% CI: 0.002, 0.022) g/cm2.

Conclusions

In summary, we found no consistent relationship between diet and BMD despite finding a positive association between a diet high in energy dense foods and higher body mass index and a strong correlation between body mass index and BMD. Our data suggest that some factor related to the energy dense dietary pattern may partially offset the advantages of higher body mass index with regard to bone health.