In this 14-year prospective study, men and women were found to share a common set of risk factors for hip fracture: low BMD, postural instability and/or quadriceps weakness, a history of falls, and prior fracture. The combination of these risk factors accounted for 57% and 37% of hip fractures in women and men, respectively. Introduction: Risk factors for hip fracture, including low BMD, identified in women, have not been shown to be useful in men. It is also not known whether fall-related factors (muscle strength and postural instability) predict hip fracture. This study examined the association between falls-related factors and hip fractures in elderly men and women. Materials and Methods: This is an epidemiologic, community-based prospective study, which included 960 women and 689 men Ն60 years of age who have been followed for a median of 12 years (interquartile range, 6-13). The number of person-years was 9961 for women and 4463 for men. The outcome measure was incidence of hip fracture. Risk factors were femoral neck BMD (FNBMD), postural sway, quadriceps strength, prior fracture, and fall. Results: Between 1989 and 2003, 115 (86 women) sustained a hip fracture. The risk of hip fracture (as measured by hazards ratio [HR]) was increased by 3.6-fold (95% CI: 2.6-4.5) in women and 3.4-fold (95% CI: 2.5-4.6) in men for each SD (0.12 g/cm

In elderly men and women, asymptomatic vertebral deformity was found to be associated with subsequent risk of symptomatic fractures, particularly vertebral fracture, and increased risk of mortality after a fracture.Introduction: Vertebral deformity is associated with an increased risk of fracture and mortality. However, it is unclear whether the three events of vertebral deformity, fracture, and mortality are linked with each other and what role BMD plays in these linkages. Materials and Methods: Vertebral deformity was determined from quantitative analysis of thoracolumbar spine X-rays in 300 randomly individuals (114 men and 186 women) ജ60 years of age (as of mid-1989), who were randomly selected from the prospective Dubbo Osteoporosis Epidemiology Study. Incidence of atraumatic fractures and subsequent mortality were ascertained from 1989 to 2003. Cox's proportional hazards model was used to determine the association between asymptomatic vertebral deformities, osteoporotic fractures, and risk of mortality. Results: The prevalence of asymptomatic vertebral deformity was 31% in men and 17% in women. During the follow-up period, subjects with vertebral deformity had a significantly higher risk of any fracture than those without vertebral deformity (44% versus 29%; hazards ratio [HR], 2.2; 95% CI, 1.4-3.7), particularly symptomatic vertebral fracture (relative risk [RR], 7.4; 95% CI, 3.2-17.0). Mortality rate was highest after a symptomatic fracture among those with vertebral deformity (HR, 9.0; 95% CI, 3.1-26.0). These associations were independent of age, sex, and BMD. Conclusion: Vertebral deformity was a strong predictor of subsequent risk of fractures, particularly symptomatic vertebral fracture, and may modify fracture-associated mortality in both elderly men and women.

No abstract

The purpose of this study was to determine the prevalence of sarcopenia using the skeletal muscle index (SMI) criteria in the Thai population. The secondary objective was to demonstrate factors influencing low SMI in this population. Femoral neck bone mass density (BMD) was measured by dual-energy X-ray absorptiometry (GE Lunar, Madison, WI, USA) in 435 urban and 397 rural subjects (334 men and 498 women) between 20 and 84 years of age. Body mass index (BMI) was calculated from weight and height. The respective prevalence of sarcopenia among men and women was 35.33 % (95 % CI, 29.91, 40.41) and 34.74 % (95 % CI, 30.56, 39.10). Factors associated with sarcopenia using multiple logistic regression analyses in both sexes were (a) living in the city, (b) higher BMI, and (c) older age. Living in an urban area was the strongest factor, with an odds ratio (OR) of 17.26 ± 7.12 (95 % CI, 7.68, 38.76) in men and 8.62 ± 2.74 (95 % CI, 4.62, 16.05) in women (p < 0.05). The prevalence rate ratio for persons living in urban compared to rural areas was 2.01 (95 % CI, 1.14, 3.53) in men and 1.69 (95 % CI, 1.31, 2.17) in women (p < 0.05). Sarcopenia, as based on SMI, occurs frequently in the Thai population and increases with age. The prevalence of sarcopenia is particularly high among pre-retirement women (50-59 years of age) whereas the number of men with sarcopenia gradually rises with age. An urban environment is the most predictive factor for sarcopenia, followed by high BMI and age. Given the aging population, early recognition of this condition can be beneficial for prevention of an epidemic of sarcopenia-related disability.

BackgroundRenal involvement in type 2 diabetes is mainly due to diabetic nephropathy (DN). Nevertheless, a sizable proportion of diabetic patients could actually have nondiabetic renal diseases (NDRDs) or DN plus NDRDs. This study aimed to explore the pathological features of NDRD in diabetic patients and to assess the predictability of diagnosing NDRD (±DN) versus isolated DN on the basis of clinical parameters.MethodsMedical records of type 2 diabetes patients who underwent renal biopsy under suspicion of NDRD from January 2011 through November 2015 were analyzed retrospectively.ResultsA total of 101 patients were enrolled in this study. The most frequent indication for renal biopsy was recent onset of nephrotic syndrome (41%), followed by rapidly progressive renal failure (29%) and active urinary sediment (21%). On renal biopsy, 51% of patients had isolated DN, 20% had isolated NDRD and 29% had DN plus NDRD. IgA nephropathy was the most common cause of isolated NDRD, whereas acute tubular necrosis (39%) and acute interstitial nephritis (33%) were the main causes of NDRD superimposed on DN. Male gender, short-duration diabetes (<8 years), lower glycated hemoglobin and active urinary sediment (≥10 red and white blood cells per high-power field) were independent predictors of NDRD according to multiple logistic regression analysis.ConclusionsJudicious use of renal biopsy revealed NDRD (±DN) in nearly half of type 2 diabetes patients with atypical renal presentation, especially in male patients with well-controlled diabetes, those who have had diabetes for a short duration and those with active urinary sediment.

Background: Fat mass, which is a major component of body weight, is directly related to bone mineral density and reduced fracture risk. It is not known whether abdominal fat is associated with hip fracture. The present study was designed to examine the association between abdominal fat and hip fracture in women and men aged 60+ years.

The adjusted incidence rate of hip fracture in Thailand has increased more than 31% from 1997 to 2006. Mortality and morbidity after hip fracture are also high. One year mortality after a hip fracture has increased from 18% in 1999 to 21% in 2007. The Thai Osteoporosis Foundation (TOPF) developed the first Clinical Practice Guideline (CPG) in 2002 and keeps updating the CPG since then. This latest version of the CPG is our attempt to provide comprehensive positional statement on the diagnosis, prevention and treatment of osteoporosis in Thailand. The study group who revised this position statement contains experts from the TOPF, Four Royal Colleges of Thailand, includes the Orthopaedic Surgeons, Gynecologists and Obstetricians, Physiatrists, Radiologists and 2 Associations of Endocrinologists and Rheumatologists which have involved in the management of patients with osteoporosis.

women who were healthy and between 20 and 84 years old. Anthropometric measures such as weight (kilograms), height (centimeters), BMI (kilograms per meter squared), waist circumference (centimeters), hip circumference (centimeters), thickness at triceps skinfold (millimeters), biceps skinfold (millimeters), subscapular skinfold (millimeters), and suprailiac skinfold (millimeters) were also measured. The sample was randomly divided into a development group (98 men and 125 women) and a validation group (83 men and 130 women). Regression equations of %BF derived from the development group were then evaluated for accuracy in the validation group. ) for both equations was 0.68. Without anthropometric variables, the predictive equation using BMI, age, and sex was: %BF ϭ 1.65 ϫ BMI ϩ 0.06 ϫ age Ϫ 15.3 ϫ sex Ϫ 10.67 (where sex ϭ 1 for men and sex ϭ 0 for women), with R 2 ϭ 0.83. When these equations were applied to the validation sample, the difference between measured and predicted %BF ranged between Ϯ9%, and the positive predictive values were above 0.9. Discussion: These results suggest that simple, noninvasive, and inexpensive anthropometric variables may provide an accurate estimate of %BF and could potentially aid the diagnosis of obesity in rural Thais.