Osteoporosis, characterized by decreased bone density and deterioration in bone microarchitecture, is estimated to afflict 1 out of 2 women over the age of 50 years. These estimates are based primarily on Caucasian populations with limited information in Native Americans. Native American women may be considered high risk for osteoporosis due to lifestyle factors in conjunction with the incidence of diabetes. The objectives of this study are to: 1) determine the prevalence of osteopenia/osteoporosis in Native American female volunteers, aged 50+ years, who are eligible for health care through Indian Health Services; 2) to evaluate their rate of bone loss, 3) to assess the relationship between lifestyle factors, inflammatory mediators, and select endocrine parameters on osteoporosis risk; and 4) determine the barriers to treatment. Native American women aged, 50+ years, who are eligible for services through Indian Health Services in the Oklahoma City (OKC) Area will be recruited. Participants will undergo a baseline osteoporosis risk assessment, i.e. medical history, dual-energy x-ray absorptiometry (DXA) scans, dietary and physical activity assessment, and optional blood draw, and then encouraged to return to their primary care physician for counsel and/or treatment. Serum markers of bone metabolism, endocrine parameters (e.g. vitamin D metabolites) and inflammatory molecules will be assessed for participants that consent to the blood draw. All participants will receive educational information related to osteoporosis risk and prevention, and follow-up visits scheduled at the end of Year 1 and Year 2. Data will be analyzed using repeated measures ANOVA and logistical regression with the α set at 0.05 for statistical significance.
Native American women may be considered high risk for osteoporosis due to lifestyle factors and incidence of type 2 diabetes. The objectives of this study are to: 1) determine the prevalence of osteopenia/osteoporosis in Native American female volunteers; 2) to evaluate their rate of bone loss; 3) to assess the relationship between lifestyle factors, inflammatory mediators, and select endocrine parameters on osteoporosis risk; and 4) determine the barriers to treatment. Participants will undergo a baseline, Year 1 and Year 2 follow-up osteoporosis risk assessment. Data will be analyzed using repeated measures ANOVA and logistical regression.