ABSTRACT
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.
ABSTRACT
Objective To observe the clinical features of migraine based on out-patient clinic data and provide help for the diagnosis and treatment of migraine. Methods In a retrospective study of 309 patients with migraine, we investigated the clinical characteristics of migraine of both genders and different types, and the risk factors for MOH transformed from migraine. Results The female to male ratio was about 3:1,76.1% of the patients had triggering factors. The most common characteristics of headache were moderate to severe intensity of the pain (97.7%), aggravation by routine physical activity (75.1%), and association with nausea (90.9%) and/or vomiting (70.6%). There were significant differences in some clinical characteristics of migraine in females as compared with these in males and in patients with migraine without aura (MWOA) as compared with those with aura (MWA). The risk factors for MOH transformed from migraine were elder age of onset, high attack frequency and the analgesics frequently used (P < 0.05).Conclusion It is suggested that carefully collecting the characteristics of headache, triggering factors and therapeutic history is the foundation of correct diagnosis and effective treatment for migraine.