Objective: To investigate the prevalence of cognitive and motor disorders as well as emotional and sleep abnormality in the veterans from military communities in Beijing.
Methods: The participants underwent a comprehensive in-person evaluation including detailed neuropsychological testing, Hospital Anxiety and Depression Scale and special questionnaires for movement and sleep disorders.
Results: The overall prevalence of cognitive impairment, extrapyramidal diseases was 32.7%, 8.8%. The prevalence of mild cognitive impairment, dementia, Parkinson disease, essential tremor, anxiety and depression was 26.2%, 6.5%, 2.0%, 6.1%, 1.4% and 4.1% respectively. Prevalence of all kinds of sleep disorders ranged from 10.3% to 53.9%. The prevalence of cognitive impairment had no significant difference of sex, but were correlated to age and education, the correlation coefficient was 0.326 and -0.221 (P<0.01).
Conclusion: Veterans from military communities had higher prevalence of cognitive impairment, extrapyramidal diseases and sleep disorders and lower that of anxiety and depression relatively.
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Sports Med Open
January 2025
Department of Health Promotion, Faculty of Medical and Health Sciences, School of Public Health, Tel-Aviv University, Tel-Aviv, Israel.
Background: Studies on rest durations during high-intensity interval training (HIIT) often compare fixed and self-selected (SS) rest allocation approaches. Frequently, the rest duration under SS conditions is unlimited, leading to inconsistent total rest durations compared to fixed rest conditions. To address this limitation, we recently compared fixed and SS rest conditions during cycling HIIT sessions, while keeping the total rest duration equivalent.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea.
Adult-onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP) is a rare white matter disease characterized by axonal and glial injury. Although its clinical characteristics have been described in case reports, the prevalence of CSF1R mutations in clinically suspected ALSP cases remains unclear. Herein, we analysed the frequency of CSF1R mutations in patients with probable or possible ALSP and describe the genetic, clinical, radiological, and pathological findings of ALSP cases in individuals of Korean ancestry.
View Article and Find Full Text PDFJ Epidemiol Community Health
January 2025
Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.
Background: While social support is associated with better cognitive health among cancer-free individuals, this relationship is understudied among cancer survivors. We investigated whether overall social support before and after a cancer diagnosis is related to post-diagnosis memory ageing, overall and by sex/gender.
Methods: Data were from 2044 cancer survivors in the US Health and Retirement Study (HRS; n=1395) and English Longitudinal Study of Ageing (ELSA; n=649) from 2006 to 2018.
Prev Med
January 2025
School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. Electronic address:
Introduction: Activity limitations among transgender and non-binary individuals remain largely unexplored using population-based samples. This study examines the risk of activity limitations across different gender identities in Canada.
Method: Using data from the 2021 Canadian long-form Census, logistic regressions estimated the adjusted odds of reporting activity limitations (seeing, hearing, mobility/dexterity, mental, cognitive, and other) across gender identities.
J Affect Disord
January 2025
Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China. Electronic address:
Background: Depression and cognitive impairments are prevalent among older adults, with evidence suggesting potential links to obesity and lipid metabolism disturbances. This study investigates the relationships between the triglyceride-glucose (TyG) index, body mass index (BMI), depression, and cognitive dysfunction in older adults, leveraging data from the NHANES survey and employing machine learning techniques.
Methods: We analysed 1352 participants aged 60-79 from the 2011-2014 NHANES dataset, who underwent cognitive function testing, depression assessments, and TyG index measurements.
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