Ethnic and Genetic Differences in Susceptibility to Osteoporotic Fractures

Anderson, John J.B.; Pollitzer, William S.

doi:10.1007/978-1-4757-9092-4_8

Cited by 25 publications

(22 citation statements)

References 95 publications

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“…1 (a) Energy contribution from macronutrients in follow-up study by gender; (b) paired individual changes (D%) of energy derived from protein, fat, carbohydrate and alcohol in men and women (*, P , 0:05; **, P , 0:01; ***, P , 0:001) dairy products in Chinese food culture may be the main contributor to their low calcium intake. A genetic variation in the metabolism of bone mineral has been reported in a comparative study of Asian and Caucasians 30 and of blacks and whites 31 . Body calcium retention by Chinese may differ from their Australian host population.…”

Section: Discussionmentioning

confidence: 98%

Longitudinal changes in nutrient intakes in the Melbourne Chinese Cohort Study

Zhang

Hsu-Hage

Wahlqvist

2002

Public Health Nutr.

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Objective: To assess longitudinal changes in the consumption of nutrients and the impact of socio-economic factors on diet transition in the Melbourne Chinese Health Study (MCHS) cohort. Design: Longitudinal study including two phases: baseline (1989/90) and follow-up (1995/97). Settings: Melbourne metropolitan areas in Victoria, Australia. Study subjects and method: Two hundred and sixty-two Chinese men and women aged 25 years and over, recruited at baseline, who had completed the both baseline and follow-up food-frequency questionnaires. Results: Women increased their daily intakes of energy (+549 kJ), protein (+7.8 g), fat (+7.3 g) and dietary fibre (+5.6 g) whereas men decreased their daily consumption of carbohydrate (238.5 g) over an average period of 8 years. Energy contributions from protein and fat rose while that from carbohydrate dropped for all cohort subjects. Increased intakes of riboflavin, b-carotene and iron were observed in men, while an increased consumption of thiamine, riboflavin, niacin and minerals (except sodium) was observed in women. Socio-economic factors such as education, family income levels and occupational categories appeared to have a far more powerful influence on changes in individual daily nutrient intakes than age or length of stay in Australia. Changes in nutrient intake in women were less affected by sociodemographic variables. Conclusion: The observed changes in nutrient intakes indicated a progressive approach towards the Australian Recommended Dietary Intakes within this Chinese cohort population.

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Section: Discussionmentioning

confidence: 98%

Longitudinal changes in nutrient intakes in the Melbourne Chinese Cohort Study

Zhang

Hsu-Hage

Wahlqvist

2002

Public Health Nutr.

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“…It is unclear as to what extent; ethnicity plays a role in modifying the effect of BMI on BMD. National and regional surveys in United States demonstrate significant ethnic differences with higher incidence of hip fracture in Caucasian women compared with African American and Mexican American women [22,23]. Similarly, evidence from the NORA study shows increased odds of osteoporosis for Asian and Hispanic women compared to White women as well as decreased odds for African American women.…”

Section: Introductionmentioning

confidence: 99%

Differential effect of obesity on bone mineral density in White, Hispanic and African American women: a cross sectional study

et al. 2005

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Osteoporosis is a major public health problem with low bone mass affecting nearly half the women aged 50 years or older. Evidence from various studies has shown that higher body mass index (BMI) is a protective factor for bone mineral density (BMD). Most of the evidence, however, is from studies with Caucasian women and it is unclear to what extent ethnicity plays a role in modifying the effect of BMI on BMD.A cross sectional study was performed in which records of postmenopausal women who presented for screening for osteoporosis at 2 urban medical centres were reviewed. Using logistic regression, we examined the interaction of race and BMI after adjusting for age, family history of osteoporosis, maternal fracture, smoking, and sedentary lifestyle on BMD. Low BMD was defined as T-score at the lumbar spine < -1.Among 3,206 patients identified, the mean age of the study population was 58.3 ± 0.24 (Years ± SEM) and the BMI was 30.6 kg/m 2 . 2,417 (75.4%) were African Americans (AA), 441(13.6%) were Whites and 348 (10.9%) were Hispanics. The AA women had lower odds of having low BMD compared to Whites [Odds ratio (OR) = 0.079 (0.03-0.24) (95% CI), p < 0.01]. The odds ratio of low BMD was not statistically significant between White and Hispanic women. We examined the interaction between race and BMD. For White women; as the BMI increases by unity, the odds of low BMD decreases [OR = 0.9 (0.87-0.94), p < 0.01; for every unit increase in BMI]. AA women had slightly but significantly higher odds of low BMD compared to Whites [OR 1.015 (1.007-1.14), There is thus a race-dependent effect of BMI on BMD. With each unit increase in BMI, BMD increases for White women, while a slight but significant decrease in BMD occurs in African American women.

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“…Genetic differences between ethnic groups have been established (e.g., African-American versus Caucasian-American populations) and these factors may also explain the lower BMD documented across Colono age cohorts (e.g., Refs. [23][24][25][26]). …”

Section: Discussionmentioning

confidence: 99%