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Background: Aging reduces the quality and strength of bones and muscles and increases body fat, which can lead to the simultaneous occurrence of sarcopenia, osteopenia, and adiposity, a condition referred to as OsteoSarcopenic Adiposity (OSA). While previous studies have demonstrated that metabolic syndrome is associated with sarcopenia, osteopenia, and adiposity, the relationship between metabolic syndrome and OSA remains largely unknown., Methods: We analyzed data for a sample of middle-aged individuals from a Health Management Center database, which was collected in 2016-2018. There are 2991 cases of people over 50 years from a physical examination center in a hospital in Taiwan during 2016-2018. In addition to descriptive statistics, chi-squared test, analysis of variance, and multinomial logistic regression analysis were conducted to examine OSA risk and associated factors., Results: Based on multinomial logistic regression analysis, in different OSA severity level (1-3 more serious), those who are with metabolic syndrome has increased the 2.49-2.57 times risk of OSA (p < 0.001) in OSA = 2 and 3 groups while there is no significant difference in OSA =1 group., Conclusion: The prevalence of OSA may impair the health and quality of life in the elderly group, especially those diagnosed with metabolic syndrome, increasing the risk of OSA. These results can help promote early diagnosis and treatment of OSA in clinical settings, particularly among aging individuals with abnormal physical function, the group with the highest OSA incidence., (© 2021. The Author(s).)

Purpose: Ethnic variation in epilepsy classification was reported in the Epilepsy Phenome/Genome Project. This study aimed to determine the ethnic variation in the prevalence of genetic (idiopathic) generalized epilepsy (GGE) and GGE with family history in a multi-ethnic Asian population in Malaysia., Method: In this cross-sectional study, 392 patients with a clinical diagnosis of GGE were recruited in the neurology outpatient clinic, University of Malaya Medical Centre (UMMC), from January 2011 till April 2016., Results: In our epilepsy cohort (n=2100), 18.7% were diagnosed to have GGE. Of those, 28.6% >(N=112) had family history of epilepsy with a mean age of seizure onset of 16.5 years old, and 42.0% had myoclonic seizures (N=47). The lifetime prevalence of epilepsy among first-degree relative of those with GGE and positive family history was 15.0%. Analysis according to ethnicity showed that Malaysian Chinese had the lowest percentage of GGE among those with epilepsy (12.3%), as compared with Indian and Malay (25.3% and 21.3%, p<0.001). In addition, 32.1% of these Indian patients with GGE had positive family history, which is more than the Malay (26.4%) and Chinese (27.5%) ethnic groups. Consanguineous marriage was noted in 5 Indian families with positive family history (9.6%)., Conclusion: There was ethnic variation in the prevalence of GGE, whereby the Malaysian Chinese had the lowest percentage of GGE as compared with Indian and Malay. A substantial proportion of GGE had positive family history among the three ethnics groups., (Copyright © 2016 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.)

Aims: To investigate the relationship between children's functional status at discharge from inpatient rehabilitation and participation in home, school and community life following paediatric acquired brain injury (ABI)., Methods: The Child and Adolescent Scale of Participation (CASP) was mailed to 60 families of school-aged children who had sustained an ABI. Functional status data was obtained from the hospital database. Twenty-eight families participated in the study., Results: No statistically significant correlations between functional status at discharge and participation levels were found., Conclusions: The lack of correlation raised questions regarding the sensitivity of the PEDI and the CASP. Therapists should consider the implication that children who perform well in functional tasks on the PEDI at discharge may not necessarily participate at age-expected levels upon return home. Environmental and child factors that hinder or support participation, such as physical infrastructure and impairments resulting from paediatric ABI, need to be considered when planning services.