Ethnic differences in bone density and hip geometry are known to exist, even within the same population. A recent study in Singapore showed that there were significant racial differences in hip fracture rates, with Chinese having the highest incidence of hip fractures. The aim of this study was to compare the bone mineral density (BMD) and hip axis length in Chinese, Malay, and Indian women. A total of 1575 women aged 20-59 yr were recruited, of which 77.6% (1222) were Chinese, 7.7% (122) Malays, and 14.7% (231) Indians. There was no significant difference in peak BMD of both lumbar spine and femoral neck among the three ethnic groups. However, in the older age group (50-59 yr), both Chinese and Malay women had significantly lower femoral neck BMD compared to Indian women. There was no significant loss in BMD of the lumbar spine between the second and fifth decades in all the three races. Between the second and fifth decade, Chinese and Malay women had significant bone loss in the femoral neck of 6.6% and 8.2%, respectively, whereas Indian women did not show any significant bone loss. Chinese women had significantly longer hip axis length compared to either Malay or Indian women (9.87 +/- 0.52 cm vs 9.67 +/- 0.49 cm; p < 0.005; and 9.69 +/- 0.55 cm, p < 0.05, respectively). The initial findings suggest racial differences in bone density and hip geometry exist in the local community. Future research should include prospective, longitudinal studies to determine the age-related bone loss in these three racial groups. It is also important to investigate the differences of spine and hip fracture rates and their relationship with bone density and hip axis length.
Indoor fungal reservoirs, particularly airborne Penicillium species, were identified throughout the ventilation system of the building and dissemination of fungi from those reservoirs was found to be occurring all the time. The objectives of this study were to determine the association between air concentration of indoor mould (Penicillium) and allergy symptoms among office workers. The study design used in this research was a cross-sectional study. Risk factors were identified through the questionnaire survey. Office workers were selected based on the proximity of their workstations to the microbiological air sampler used for the mould sampling. Results from the current study suggests that individual susceptibility of exposed subjects might be influenced by several factors associated with mould exposure; for example, inhaled mycotoxins or volatile organic compounds, which may, in some complex way, affect the immune response. This study provides the much needed preliminary baseline data for developing guidelines with validated findings that will be of use for policy decisions in Malaysia regarding indoor air quality. Results from this study are recommended for use in planning and implementing control measures in order to reduce the exposure to indoor mould and promote healthy working environment among the workers.
Turner syndrome (TS) is a common multiple congenital anomaly syndrome resulting from complete or partial absence of the second X chromosome. In this study, we explore the phenotype of TS in diverse populations using clinical examination and facial analysis technology. Clinical data from 78 individuals and images from 108 individuals with TS from 19 different countries were analyzed. Individuals were grouped into categories of African descent (African), Asian, Latin American, Caucasian (European descent), and Middle Eastern. The most common phenotype features across all population groups were short stature (86%), cubitus valgus (76%), and low posterior hairline 70%. Two facial analysis technology experiments were conducted: TS versus general population and TS versus Noonan syndrome. Across all ethnicities, facial analysis was accurate in diagnosing TS from frontal facial images as measured by the area under the curve (AUC). An AUC of 0.903 (p < .001) was found for TS versus general population controls and 0.925 (p < .001) for TS versus individuals with Noonan syndrome. In summary, we present consistent clinical findings from global populations with TS and additionally demonstrate that facial analysis technology can accurately distinguish TS from the general population and Noonan syndrome.