1.An epidemiological survey of mental disorders among people aged 18 and above in Shandong Province
Ruzhan WANG ; Jingxuan ZHANG ; Yanhu WANG ; Can WANG ; Xiuzhe CHEN ; Guolin MI ; Xu CHEN ; Xiaojing CHENG ; Lina WANG ; Lili HU ; Lingxi GU ; Shiquan ZHENG ; Lan DONG ; Ligang WANG ; Li CHEN ; Wu LI ; Yanhua LIU ; Jun ZHU ; Yanmei WANG ; Qinghua WEN ; Xiaopeng LI ; Yusheng ZHANG ; Zongyin HOU ; Xiuru ZHANG ; Tingxia ZHANG ; Sumei GUO ; Xiucheng YANG
Chinese Journal of Psychiatry 2021;54(2):138-146
Objective:This study aims to investigate the prevalence and distribution characteristics of mental disorders among people aged 18 and above in Shandong Province.Methods:In 2015, an epidemiological survey was carried out to investigate the patterns of mental disorders in 49 counties of Shandong Province. A total of 28 000 individuals aged 18 years or older were selected using the multistage stratified cluster sampling method. All these participants were classified as at a high or low risk of mental disorders according to the assessment results of the revised version of the General Health Questionnaire (GHQ). The diagnosis of mental disorders was confirmed using the Structured Clinical Interview for Diagnostic and Statistical Manual, Forth edition (DSM-Ⅳ) axis I or MMSE. All participants at high risk of mental disorders were evaluated using DSM-Ⅳ or MMSE to confirm the psychiatric diagnoses, while 10% of participants at low risk of mental disorders were randomly selected to be evaluated. The prevalence and its 95% confidence interval of mental disorders were adjusted according to study design and sociodemographic characteristics of the sample. The between-group differences of prevalence were compared using chi-square tests or Fisher′s exact tests as appropriately.Results:A total of 27 489 individuals completed survey. The adjusted prevalence of any mental disorder was 17.46% (95 %CI 17.02%-17.89%). The five most prevalent mental disorder spectrums were substance use disorders (5.29%), mood disorders (4.47%), anxiety disorders (4.46%), intellectual and mental disorders due to physical or substance (1.91%), and psychotic disorders (1.12%). The most common mental disorders were alcohol use disorder (5.27%) and major depressive disorder (2.14%). The prevalence of mental disorders in men was higher than that in women (23.37% vs. 13.89%; χ 2=408.91, P<0.01). There was no significant difference in the prevalence of mental disorders between rural residents and urban residents (17.69% vs. 17.20%; χ2=1.05, P=0.305). Of participants with mental disorders, 26.12% (1 047/4 008) had moderate to severe functional impairment and 10.98% (428/3 898) have sought professional help. Conclusion:The prevalence of mental disorders among people aged 18 and above in Shandong Province is basically consistent with the results of similar domestic studies. The prevalence of mental disorder was higher in men than in women and was not differ in participants living in urban and rural areas. Alcohol use disorder, major depressive disorder, non-specific anxiety disorder and non-specific depressive disorder are most common mental disorders.
2.An epidemiological survey of mental disorders among people aged 18 and above in Shandong Province
Ruzhan WANG ; Jingxuan ZHANG ; Yanhu WANG ; Can WANG ; Xiuzhe CHEN ; Guolin MI ; Xu CHEN ; Xiaojing CHENG ; Lina WANG ; Lili HU ; Lingxi GU ; Shiquan ZHENG ; Lan DONG ; Ligang WANG ; Li CHEN ; Wu LI ; Yanhua LIU ; Jun ZHU ; Yanmei WANG ; Qinghua WEN ; Xiaopeng LI ; Yusheng ZHANG ; Zongyin HOU ; Xiuru ZHANG ; Tingxia ZHANG ; Sumei GUO ; Xiucheng YANG
Chinese Journal of Psychiatry 2021;54(2):138-146
Objective:This study aims to investigate the prevalence and distribution characteristics of mental disorders among people aged 18 and above in Shandong Province.Methods:In 2015, an epidemiological survey was carried out to investigate the patterns of mental disorders in 49 counties of Shandong Province. A total of 28 000 individuals aged 18 years or older were selected using the multistage stratified cluster sampling method. All these participants were classified as at a high or low risk of mental disorders according to the assessment results of the revised version of the General Health Questionnaire (GHQ). The diagnosis of mental disorders was confirmed using the Structured Clinical Interview for Diagnostic and Statistical Manual, Forth edition (DSM-Ⅳ) axis I or MMSE. All participants at high risk of mental disorders were evaluated using DSM-Ⅳ or MMSE to confirm the psychiatric diagnoses, while 10% of participants at low risk of mental disorders were randomly selected to be evaluated. The prevalence and its 95% confidence interval of mental disorders were adjusted according to study design and sociodemographic characteristics of the sample. The between-group differences of prevalence were compared using chi-square tests or Fisher′s exact tests as appropriately.Results:A total of 27 489 individuals completed survey. The adjusted prevalence of any mental disorder was 17.46% (95 %CI 17.02%-17.89%). The five most prevalent mental disorder spectrums were substance use disorders (5.29%), mood disorders (4.47%), anxiety disorders (4.46%), intellectual and mental disorders due to physical or substance (1.91%), and psychotic disorders (1.12%). The most common mental disorders were alcohol use disorder (5.27%) and major depressive disorder (2.14%). The prevalence of mental disorders in men was higher than that in women (23.37% vs. 13.89%; χ 2=408.91, P<0.01). There was no significant difference in the prevalence of mental disorders between rural residents and urban residents (17.69% vs. 17.20%; χ2=1.05, P=0.305). Of participants with mental disorders, 26.12% (1 047/4 008) had moderate to severe functional impairment and 10.98% (428/3 898) have sought professional help. Conclusion:The prevalence of mental disorders among people aged 18 and above in Shandong Province is basically consistent with the results of similar domestic studies. The prevalence of mental disorder was higher in men than in women and was not differ in participants living in urban and rural areas. Alcohol use disorder, major depressive disorder, non-specific anxiety disorder and non-specific depressive disorder are most common mental disorders.
3.Risk factors and nursing intervention for pneumothorax in performing CT-guided radioactive 125I seed implantation in patients with lung cancer
Panfeng WANG ; Yuan LEI ; Xiuru HU ; Yuanyuan LONG ; Songbo WU ; Yuliang JIANG ; Junjie WANG
Chinese Journal of Modern Nursing 2017;23(8):1109-1112
Objective To explore the risk factors and nursing intervention for pneumothorax in performing CT-guided radioactive 125I seed implantation in patients with lung cancer.Methods 40 patients with lung cancer who performed CT-guided radioactive 125I seedimplantation from January 2014 to November 2015 were included in the study. The retrospective analysis was used and the participants were hospitalized either in Peking university third hospital or in Hebei Cangzhou hospital of integrated traditional Chinese and western medicine. Results After the implantation, seven patients had implantation including five mild cases and two moderate cases. Six patients got better after the implantation (i.e. five of them had no obvious clinical symptoms and one of them had chest distress and cough). One case had hemothorax combined with chest distress and cough, but got better after air extraction and closed thoracic drainage.Conclusions The risk factors for pneumothorax in performing CT-guided radioactive 125I seed implantation may include the type and location of the lesion and the number of puncture times. The important factors for preventing the incidence of pneumothorax may include preoperative analysis of the type and location of lesions, reducing thepuncture times, less harm for pleural layers,and reasonable needlepoint. The major nursing strategies to prevent pneumothorax include preoperative evaluation and health education, cooperate with the doctors during the operation,and close observation of patients'postoperative symptoms.
4.A multicenter study of fracture in patients with rheumatoid arthritis in China
Lizhi WANG ; Caihong WANG ; Xiaofeng LI ; Xiangcong ZHAO ; Wenpeng ZHAO ; Xiuru WANG ; Yin SU ; Yuan AN ; Yunshan ZHOU ; Ping ZHU ; Lina CHEN ; Guochun WANG ; Xin LU ; Hongtao JIN ; Yongfu WANG ; Rong YANG ; Zhuoli ZHANG ; Guangtao LI ; Xiangyuan LIU ; Lin SUN ; Fengxiao ZHANG ; Jiemei TAO ; Zhenbin LI ; Jing YANG ; Jinying LIN ; Meiqiu WEI ; Liufu CUI ; Rong SHU ; Xiaomin LIU ; Dan KE ; Shaoxian HU ; Cong YE ; Xiuyan YANG ; Hao LI ; Cibo HUANG ; Ming GAO ; Bei LAI ; Xingfu LI ; Lijun SONG ; Zhanguo LI
Chinese Journal of Rheumatology 2012;16(2):102-106
ObjectiveTo examine the clinical features of fractures and related risk factors in patients with rheumatoid arthritis(RA) in China.MethodsSix hundred and eighty-one RA patients were randomly selected from department of rheumatology of 18 hospitals of China.Data were obtained from the questionnaire,including age,sex,disease duration,the involvement of joints,treatment regimen,features of fractures etc.The possible risk factors of fracture in patients with RA were analyzed with a multi-variate Logistic regression analysis.Results① In 681 RA patients of the survey,48 patients had 54 fractures,and the incidence of fractures was about 8%.② Fractures occurred at various sites.Foot/ankle,femur,spine and wrist were the mostfrequent sites.③ The Logistic regression analysis showed that several factors increased the risk of fracture in RA patients,including long disease duration (OR:1.245,95%CI:0.987-1.570,P=0.065),male gender(OR:0.433,95%CI:0.199-0.942,P=0.035),more deformed joints(OR:1.042,95%CI:1.006-1.079,P=0.023),family history of RA (OR:2.201,95%CI:0.984-4.923,P=0.055),and high scores of SF-36(OR:1.017,95%CI:1.002-1.033,P=0.028).④ According to the degree of correlation from strong to weak,the risk factors of fracture were disease duration,SF-36,sex,number of deformed joints and family history of rheumatoid arthritis.ConclusionThe incidence of fracture is high in patients with rheumatoid arthritis.Several factors could increase the risk of fractures in RA patients,including long disease duration,male gender,more deformed joints,and family history of RA.In order to prevent the occurrence of fractures,cautions should be taken to prevent the development of fractures and treat the disease aggressively to suppress the disease activity of RA.
5.A multicenter study of costs of drugs in rheumatoid arthritis in China
Xiuru WANG ; Yin SU ; Yuan AN ; Yunshan ZHOU ; Lizhi WANG ; Caihong WANG ; Xiaofeng LI ; Lina CHEN ; Ping ZHU ; Xin LU ; Guochun WANG ; Hongtao JIN ; Rong YANG ; Yongfu WANG ; Guangtao LI ; Zhuoli ZHANG ; Lin SUN ; Xiangyuan LIU ; Jiemei TAO ; Fengxiao ZHANG ; Jing YANG ; Zhenbin LI ; Meiqiu WEI ; Jinying LIN ; Rong SHU ; Liufu CUI ; Dan KE ; Xiaomin LIU ; Cong YE ; Shaoxian HU ; Hao LI ; Xiuyan YANG ; Bei LAI ; Ming GAO ; Cibo HUANG ; Lijun SONG ; Xingfa LI ; Zhanguo LI
Chinese Journal of Rheumatology 2010;14(6):368-372
Objective To describe the distribution of medication costs of rheumatoid arthritis patients, and to analyze the factors that may affect the costs. Methods Data were obtained from a 12-month retrospective investigation of patients with rheumatoid arthritis (RA) across China. Department of Rheuma-tology of 18 hospitals were randomly selected. The data about their social conditions, clinical conditions, medications associated with RA such as disease-modifying antirheumatic drugs (DMARDs), non -steroidal anti -inflammtory drugs (NSAIDs), steroids, biologic agents were collected, and the costs of drugs were calculated. A non-parameter test and multivariate logistic regression analysis were performed. Results Six hundred and forty six patients were enrolled into the study, 435 completed data were chosen for analysis. The results demonstrated that the average costs per patient for medications in the past year was 8018 . The total medication costs were further subdivided into the following parts: DMARDs, (represented 20% of the total costs), biologic drugs (49%), NSAIDs (4%), herbal drugs (22%), steroids (1%). Data analysis showed that patients with higher education and higher incomes, with medical insurance,better health function status and outpatients paid more on DMARDs. Extra-articular manifestations increased the odds of the high-cost group (OR: 2.180, 95%CI: 1.335~3.558, P=0.002), while poor health function status increased the probability of paying high costs (OR: 1.373, 95%CI: 1.012~1.863, P=0.041). Conclusion High medication costs in RA do exist in RA patients. The costs of medication is associated with health function status and the presence of extra-articular manifestations.

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