We investigated which of the three FRAX fracture risk assessment tool models is most applicable to Korean women. For 306 postmenopausal women (mean age, 77 yr) with a hip fracture, fracture probabilities were calculated using FRAX models from Japan, Turkey and China. Data on bone mineral density (BMD) at the femoral neck were available for 103 patients. Significant differences existed among the models, independent of the inclusion of BMD in the calculation of fracture probabilities. The probabilities of both major osteoporotic fractures and hip fractures were significantly higher in the Japanese model than in the Turkish or Chinese models. In all of the models, the probabilities of a major osteoporotic fracture, but not of a hip fracture, decreased significantly if calculated without BMD values. By applying the Japanese model, the ten-year probabilities for major osteoporotic and hip fractures increased significantly with age. Our results suggest that the Japanese FRAX model might be the most appropriate for Korean women.
Aged ; Aged, 80 and over ; Bone Density/physiology ; Female ; Fractures, Bone/*epidemiology/ethnology/prevention & control ; Hip Fractures/epidemiology/ethnology/prevention & control ; Humans ; Middle Aged ; *Models, Statistical ; Osteoporosis, Postmenopausal/complications ; Republic of Korea/epidemiology ; Risk Assessment

Objective: To investigate the demographic characteristics of falls and fall-related injuries in Chinese elderly population. Methods: In 2013, the 4(th) round Chronic Non-communicable Disease and Risk Factor Surveillance in China was conducted in 31 provinces. A stratified multi-stage cluster sampling was used to select the samples. A total number of 98 629 community-based adults aged 60 years and older received a set of standardized questionnaires with a face to face interview. The prevalence rates of falls and consequent injuries were compared between different genders, age groups, levels of education and areas of residency. Results: The overall prevalence of falls among elderly in the previous 6 months was 8.0%(95%CI: 7.5%-8.5%). The prevalence was increasing with age and decreasing with the levels of education, and higher in females (9.1%) than in males (6.8%), with differences statistically significant (χ(2)=74.1, P<0.01). Prevalence rates were also seen higher in rural (8.6%), in widowed (11.0%) residents and in farmers or house workers than those in urban areas (7.2%), in non-widowed (7.0%), or having other jobs, with differences all statistically significant (χ(2)=7.7, P<0.01, χ(2)=128.0, P<0.01). 52.6% of the elderly got injured when fell. The proportion of injury was greater in females (54.8%) than that in males (49.6%), with differences statistically significant (χ(2)=10.2, P<0.01). Proportion of most frequent types of injuries were hip fractures (7.3%), hand/arm fractures (12.5%), head injury (8.0%) and bruise (53.6%) respectively. The proportion of hip fractures was 12.4% in elderly over 80 year of age, also was the highest. Conclusions: Results from the present study showed that elderly suffered high prevalence of falls.Statistically significant differences were seen in residents with different groups as genders, age, education levels, marital status, urban/rural areas or jobs. Group-based comprehensive prevention and intervention on falls should be strengthened.
Accidental Falls/statistics & numerical data* ; Adult ; Aged ; Aging ; Asian People ; China/epidemiology* ; Female ; Fractures, Bone/ethnology* ; Hip Fractures/ethnology* ; Humans ; Male ; Prevalence ; Residence Characteristics ; Risk Factors ; Rural Population ; Sex Factors ; Surveys and Questionnaires ; Urban Population