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find Author "DENG Xiaojuan" 2 results
  • Research on Family Burden of Depression Inpatients and Its Correlation with Family Social Support

    Objective To investigate the family burden of depression inpatients, analyze the influencing factors and explore the approach to reduce the family burden. Methods On-the-spot investigation was conducted for the family members of 200 depression inpatients in Mental Health Center of West China Hospital of Sichuan University from January to December, 2008. Following questionnaires used for investigation were all self-scale and filled out by the family members: “Basic Information Scale of Patients and Family Members”, “Family Burden Scale of Patients with Depression” revised from Pai’s scale of “Burden on the Family of Disease” (scoring 0-48 points and covering 24 items under 6 dimensions, namely, financial burden, disruption of routine family activities, disruption of family leisure, disruption of family interactions, effect on physical health of family members, and effect on mental health of family members; rating each item on a 3-class scale, namely, zero for no burden, one for moderate burden, and two for severe burden) , and Xiao Shuiyuan’s “Social Support Scale” (10 items in total, a higher score indicates a better social support). SPSS 13.0 software was adopted to perform statistical analyses. Results The total score of family burden was 26.3±12.6, the positive answer rate of family burden was 100.0%, and the positive answer rate of the every dimension was above 80%. The score of family burden for parents and spouse was higher than that of children (Plt;0.05). The total score of social support was 40.22±9.06, and the correlation coefficient between family burden and family social support was –0.485 (Plt;0.001). Conclusion It is common for family members of depression patients to get family burden at different levels. The more social support family members get, the less the family burden is.

    Release date:2016-09-07 11:04 Export PDF Favorites Scan
  • Diagnosis status and epidemiological characteristics of Anti-N-methyl-D-aspartate receptor encephalitis in Sichuan province

    ObjectiveTo analyze the diagnosis status and epidemiological characteristics of anti-N-methyl-D-aspartate receptor encephalitis (anti-NMDAR encephalitis) in the Sichuan province of China. MethodsIn the retrospective survey study, data of cases suspected as autoimmune encephalitis in Sichuan province from January 2012 to February 2017 were collected from the third-party test center.The diagnosis status and epidemiological characteristics of anti-NMDAR encephalitis were analyzed. Results① A total of 1 714 cases had been suspected as autoimmune encephalitis with anti NMDA receptor antibodies tested.In hospitals of capital city, cerebrospinal fluid or serum of 1 511 cases were tested since 2012.In other cities, 203 cases were tested since 2014.Hospitals with anti NMDA receptor antibodies tested increased by year.The cases distributed in the department of neurology, psychology, pychiatric, ICU, pediatrics, geriatrics, otolaryngology, infection, the mergency department and pneumology.② Cases with anti NMDA receptor antibodies tested increased by year.A total of 155 cases were confirmed as anti-NMDAR encephalitis, with the average onset age of (27.9±12.0) years ranged from 9 years to 77 years, including 89 women and 66 male.The female average age were (26.5±11.31) years, while the male were(29.0±13.0) years.③ Among the 155 confirmed cases, 127 cases with detailed clinical data were analyzed further.Seizure and behavior disorder were the main symptoms at onset.Among the 127 cases, 107 cases were misdiagnosed at their first hospital visit, with the misdiagnose rate of 84.3%.18 cases were reported with tumors (17 female), mainly with teratoma(11/17). ConclusionIn Sichuan province, the doctors of hospitals in non-capital city should strengthen the identification of autoimmune encephalitis.Anti-NMDAR encephalitis could be misdiagnosed easily and non-neurological physicians should also take attention;

    Release date:2017-09-26 05:09 Export PDF Favorites Scan
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