Objective:To describe functional disability rate of anxiety disorders in Chinese community adults and explore related risk factors of functional disability.Methods:To conduct in-depth data analysis on China Mental Health Survey(CMHS).The diagnostic tool for anxiety disorders was the Composite International Diagnostic Inter-view-3.0,according to the Diagnostic and Statistical Manual for Mental Disorders,Fourth Edition(DSM-Ⅳ).The World Health Organization Disability Assessment Schedule,2nd edition,was the functional disability assessment standard for anxiety disorders.Weighted 12-month functional disability rate of DSM-Ⅳ anxiety disorder with co-morbidities and only anxiety disorder in population and those in patients,as well as days of partial disability were calculated.The effects of anxiety disorders comorbid other mental disorders and physical diseases and demographic factors on the severity and occurrence of functional disability were analyzed by multiple linear regression and logis-tic regression.Results:The functional disability rate of anxiety disorder with comorbidities in population was 1.7％,and 42.2％in patients,in which constituent rate of grade-four disability was the highest as 84.1％.The functional disability rate of only anxiety disorder in population was 0.3％,and 17.8％in patients.The medians of days of partial disability days in the past 30 days were from 0 to 14.42.Multiple linear regression showed a positive association between comorbid anxiety disorder with other mental disorders and physical diseases(β=0.24),comor-bid other mental disorders and physical diseases(β=0.21),physical diseases(β=0.18),comorbid anxiety disor-der and physical diseases(β=0.15),comorbid anxiety disorder with other mental disorders(β=0.08),other men-tal disorders(β=0.07),only anxiety disorder(β=0.06),lower education level(β=0.12),lower economic status(β=0.08),older age(β=0.06),non-marital status(β=0.06),male(β=0.02)and the severity of functional dis-ability.Logistic regression showed that comorbid anxiety with other mental disorders and physical diseases(OR=64.07),comorbid anxiety disorders with other mental disorders(OR=36.75),comorbid other mental disorders with physical diseases(OR=20.60),comorbid anxiety with physical diseases(OR=18.88),anxiety disorder(OR=9.20),other mental disorders(OR=6.65),physical diseases(OR=4.00),65 years old and over(OR=4.40),50 to 64 years old(OR=2.33),low economic status(OR=2.10),illiterate and below primary school educational level(OR=1.89),middle economic status(OR=1.70),elementary school educational level(OR=1.59),non-marital status(OR=1.47),male(OR=1.16)were the risk factors of the occurrence of functional disability.Conclusion:Comorbidity of anxiety disorders and other mental disorders,and physical diseases increases severity and occurrence of functional disability.Comorbidity,male,gender,older age,lower economic and educa-tional level and non-marital are risk factors of anxiety disorder functional disability.

Objective:To describe disability rates of dementia in community residents aged 65 years and over in China,and explore related risk factors of disability.Methods:This study conducted an in-depth data analysis of the China Mental Health Survey.World Health Organization Disability Assessment Schedule 2.0(WHODAS 2.0)was used to assess dementia disability,Community Screening Interview for Dementia(CSID)and Geriatric Mental Status Examination(GMS)were used for dementia screening and diagnosing.Univariate analysis was used to calcu-late the weighted disability rates of dementia in population and in patients,and their population distribution.Multiple linear regression and logistic regression were used to analyze the risk factors of the occurrence of dementia disability and its severity.Results:The weighted disability rate of dementia was 2.1％in population,and 38.6％in pa-tients.The disability rates of comorbid dementia in population and in patients were higher than those of patients with only dementia.Female,older age,lower education level,lower economic status,and lower cognitive test scores in CSID had higher disability rates of dementia in population.Female and urban resident had higher disability rates of dementia in patients.Multiple linear regression showed economic status(β=0.11),gender(β=0.11),age(β=0.10),and treatment in the last 12 months(β=-0.20)were statistically associated with WHODAS 2.0 scores.Multiple logistic regression showed female(OR=2.81)and treatment in the last 12 months(OR=2.38)were statistically associated with disability.Conclusions:Persons with low economic status,female and elderly peo-ple are the high-risk groups for dementia disability.It should be paid attention to prevent dementia and its conse-quential disabilities.

With the advance of the economy and population aging, the acceleration of urbanization and the change of people's lifestyles, the prevalence of chronic diseases has become very serious. However, the etiologies and pathogeneses of the diseases are not yet clear, and the evidence of effective prevention and treatment strategies is lacking. Cohort study is an important method for exploring etiology and pathogenesis. Therefore, based on the support of the Ministry of Science and Technology for precision medicine in 2016, we launched a prospective cohort study of common chronic and non-communicable diseases in three provinces (Hubei, Hunan and Henan) in central China. Three independent and integratable sub-cohorts consisting of 115 424 participants at baseline survey and 107 252 participants in follow up were established, including dynamic measurements in 39 000 subjects in Dongfeng-Tongji prospective cohort. Each participant was asked to complete a questionnaire survey, an anthropometric measurement, a laboratory measurement, and blood and urine samples were collected from them. The cohort study contributes greatly to elucidating the etiologies and pathogeneses of common chronic and non-communicable disease in Chinese population and the development of precision medicine in China. This paper briefly introduces the design concept, basic information, major achievements and progress, and challenges of the prospective cohort study of common chronic and non-communicable diseases in central China.

OBJECTIVES: To analyze the prevalence and influencing factors for drinking behavior and heavy drinking among government employees in Changsha and provide a basis for carrying out interventions for drinking behaviors and formulating public health promotion plans for government employees. METHODS: Government employees were recruited consecutively from the Health Management Center of a general hospital in Changsha between December 2017 and December 2018. Information on sociodemograpic characteristics, drinking behaviors, life events, and psychosocial characteristics was collected using a standard set of questionnaire. Drinking behavior was defined as drinking once or more per week for the past 12 months. The differences in drinking rates and excessive drinking rates among groups with different characteristics were compared. Multivariate analysis was performed to analyze the associated factors of drinking behaviors and heavy drinking for government employees. RESULTS: A total of 6 190 people completed this investigation. The overall drinking rate of government employees in Changsha was 21.9%, and the rate of drinking was higher in males than that in females (44.7% vs 4.0%, CONCLUSIONS The drinking and heavy drinking rates of government employees are high in Changsha. Marital status, physical exercise, and frequency of social intercourse are the common influencing factors of male drinking behavior and female drinking behavior. The life events stimulation is the influencing factor of heavy drinking.
Adult ; Alcohol Drinking/epidemiology* ; Female ; Government Employees ; Health Behavior ; Humans ; Male ; Middle Aged ; Risk Factors ; Smoking

Objective:A systematic review of global academic studies on mental health policy from 1990 to 2019 analyzed the overall characteristics of research methods in this field, in order to understand the development history and current status of mental health policy research methods, and hope to provide a reference to serve for the mental health policy study in our country.Methods:By searching the Web of Science Core Collection and the Cochrane Library, literature was screened, classified and statistically analyzed by using a two-level coding.Results:1 066 articles were included for analysis. In the past 30 years, the number of literature on mental health policy research was showing an upward trend. Since 1990, literature of qualitative research was dominant in each five-year stage, and the proportion ranged from 66.1% to 92.4%. Expert opinion of qualitative research was in the leading position from 1990 to 2014, and the proportion ranged from 43.3% to 84.8%. The proportion of quantitative research increased rapidly from 7.6% in 1990-1994 to 22.6% in 2015-2019 while structural qualitative research increased from 8.6% to 34.7%. In the quantitative research, the data sources mainly included survey data and second-hand data; the designs of quantitative research were mainly longitudinal research (41.6%, n=119) and cross-sectional research (39.5%, n=113). There were also few randomized controlled trials (5.6%, n=16), cohort study (4.5%, n=13), quasi-experimental study (3.8%, n=11), systematic review (3.5%, n=10) and ecological study (1.0%, n=3). The qualitative analysis methods included literature review and systematic review, theoretical perspective/framework analysis (mainly WHO framework, Kingdon multi-source flow framework, Walt and Gilson policy analysis framework and Bronfenbrenner′s ecological model) and qualitative data analysis (mainly document content analysis and case study). Conclusions:Qualitative research has always been the main type of mental health policy research, and the data analysis methods for qualitative research have been constantly enriched; discourse analysis, ethnography, phenomenological method, etc. may become a new section of qualitative research on mental health policy. In the quantitative type of mental health policy research, cross-sectional and longitudinal research were the main methods in the early stage, and many methods have been applied in recent ten years such as randomized controlled trial, quasi-experimental study, ecological study; econometric method is a new direction in which quantitative analysis methods in this field can be expanded in the future.

Objective:A systematic review of global academic studies on mental health policy from 1990 to 2019 analyzed the overall characteristics of research methods in this field, in order to understand the development history and current status of mental health policy research methods, and hope to provide a reference to serve for the mental health policy study in our country.Methods:By searching the Web of Science Core Collection and the Cochrane Library, literature was screened, classified and statistically analyzed by using a two-level coding.Results:1 066 articles were included for analysis. In the past 30 years, the number of literature on mental health policy research was showing an upward trend. Since 1990, literature of qualitative research was dominant in each five-year stage, and the proportion ranged from 66.1% to 92.4%. Expert opinion of qualitative research was in the leading position from 1990 to 2014, and the proportion ranged from 43.3% to 84.8%. The proportion of quantitative research increased rapidly from 7.6% in 1990-1994 to 22.6% in 2015-2019 while structural qualitative research increased from 8.6% to 34.7%. In the quantitative research, the data sources mainly included survey data and second-hand data; the designs of quantitative research were mainly longitudinal research (41.6%, n=119) and cross-sectional research (39.5%, n=113). There were also few randomized controlled trials (5.6%, n=16), cohort study (4.5%, n=13), quasi-experimental study (3.8%, n=11), systematic review (3.5%, n=10) and ecological study (1.0%, n=3). The qualitative analysis methods included literature review and systematic review, theoretical perspective/framework analysis (mainly WHO framework, Kingdon multi-source flow framework, Walt and Gilson policy analysis framework and Bronfenbrenner′s ecological model) and qualitative data analysis (mainly document content analysis and case study). Conclusions:Qualitative research has always been the main type of mental health policy research, and the data analysis methods for qualitative research have been constantly enriched; discourse analysis, ethnography, phenomenological method, etc. may become a new section of qualitative research on mental health policy. In the quantitative type of mental health policy research, cross-sectional and longitudinal research were the main methods in the early stage, and many methods have been applied in recent ten years such as randomized controlled trial, quasi-experimental study, ecological study; econometric method is a new direction in which quantitative analysis methods in this field can be expanded in the future.

Objective To investigate the morbidity rate,prevalence and influencing factors of schizophrenia among people aged 15 and above in Henan Province.Methods In 2015,a multi-stage stratified random sampling method was adopted,and the revised General Health Questionnaire (GHQ-12) was used as a preliminary screening tool to carry out mental disorder epidemiological investigation in 20 counties of Henan Province.The sampled people were divided into high,medium and low risk groups according to the GHQ-12 scores.The diagnosis of mental disorders was made by attending psychiatrist with DSM-Ⅳ-TR Axis Ⅰ diagnostic clinical interview pattern scale (SCID).The qualitative data were compared by chi-square test,and the influencing factors of schizophrenia were analyzed by Logistic regression analysis.Results A total of 23 846 people were surveyed,including 11 865 (49.76％) men and 11 981 (50.24％) women in which 124 ones were diagnosed with schizophrenia,with the adjusted lifetime prevalence rate of 5.56‰,and time point prevalence of 5.04‰.Of the 124 cases,83 lived in towns and 41 lived in cities,54 were male and 70 were female.The other basic message:level of education:illiterate 26,primary school 39,junior high school 47,high school or technical secondary school 9,junior or regular college 3;marital status:unmarried 31,first marriage 78,remarried 3,divorced 11,widowed 1.Univariate analysis showed statistically significant differences in the prevalence of schizophrenia at different levels of education (x2=33.903,P＜0.01) and marital status (x2=137.143,P＜0.01).Logistic regression analysis showed that urban and rural areas (Wald x2=37.296,P＜0.01),gender (Wald x2=13.131,P＜0.01),education level (Wald x2=48.338,P＜0.01),marital status (Wald x2=54.495,P＜0.01) and family history (Wald x2=107.340,P＜0.01) were the influencing factors of schizophrenia.Conclusion The prevalence rate of schizophrenia in Henan Province is basically consistent with the research results at home and abroad,and the prevention and treatment of schizophrenia should be based on different regions,ages,genders,et al.

Objective To investigate the morbidity rate,prevalence and influencing factors of schizophrenia among people aged 15 and above in Henan Province.Methods In 2015,a multi-stage stratified random sampling method was adopted,and the revised General Health Questionnaire (GHQ-12) was used as a preliminary screening tool to carry out mental disorder epidemiological investigation in 20 counties of Henan Province.The sampled people were divided into high,medium and low risk groups according to the GHQ-12 scores.The diagnosis of mental disorders was made by attending psychiatrist with DSM-Ⅳ-TR Axis Ⅰ diagnostic clinical interview pattern scale (SCID).The qualitative data were compared by chi-square test,and the influencing factors of schizophrenia were analyzed by Logistic regression analysis.Results A total of 23 846 people were surveyed,including 11 865 (49.76％) men and 11 981 (50.24％) women in which 124 ones were diagnosed with schizophrenia,with the adjusted lifetime prevalence rate of 5.56‰,and time point prevalence of 5.04‰.Of the 124 cases,83 lived in towns and 41 lived in cities,54 were male and 70 were female.The other basic message:level of education:illiterate 26,primary school 39,junior high school 47,high school or technical secondary school 9,junior or regular college 3;marital status:unmarried 31,first marriage 78,remarried 3,divorced 11,widowed 1.Univariate analysis showed statistically significant differences in the prevalence of schizophrenia at different levels of education (x2=33.903,P＜0.01) and marital status (x2=137.143,P＜0.01).Logistic regression analysis showed that urban and rural areas (Wald x2=37.296,P＜0.01),gender (Wald x2=13.131,P＜0.01),education level (Wald x2=48.338,P＜0.01),marital status (Wald x2=54.495,P＜0.01) and family history (Wald x2=107.340,P＜0.01) were the influencing factors of schizophrenia.Conclusion The prevalence rate of schizophrenia in Henan Province is basically consistent with the research results at home and abroad,and the prevention and treatment of schizophrenia should be based on different regions,ages,genders,et al.

To translate the English version of the 9-item Shared Decision Making Questionnaire (SDM-Q-9) into Chinese, and to test its reliability and validity in Chinese version.
 Methods: A total of 720 inpatients were recruited randomly from 6 hospitals in Changsha and were investigated using the Chinese version of SDM-Q-9. SPSS 23.0 and AMOS 23.0 were used to test the reliability and validity.
 Results: There were 660 participants completed and returned valid questionnaires (valid return rate was 91.7%). An analysis of internal consistency yielded a Cronbach's α at 0.945 and the correlation of test-retest reliability was 0.319 for whole instrument. The correlations between the items and total scale ranged from 0.790 to 0.879 (P<0.001). A single factor was extracted by exploratory factor analysis and it could explain 69.824% of the total variance. The confirmatory factor analysis revealed a good model fit. The goodness-of-fit index (GFI), adjusted goodness-of-fit index (AGFI), comparative fit index (CFI), normal fit index (NFI), and root mean square residual (RMR) were 0.870, 0.784, 0.926, 0.921, and 0.054, respectively.
 Conclusion: The Chinese version of SDM-Q-9 is proved to be reliable and eligible except the correlation of test-retest reliability is relatively low. It can be used to assess the patient's perspective in the process of shared decision making in clinical situation.
Decision Making ; Factor Analysis, Statistical ; Humans ; Psychometrics ; Reproducibility of Results ; Surveys and Questionnaires

Objective: To understand the prevalence of dating violence experienced by gay men in Guangzhou. Methods: A self-report surveys were collected and analyzed from 510 gay men and 510 heterosexual males. Respondents were assessed with the self-made social demographic information questionnaire, Dating Violence Questionnaire (DVQ). DVQ included three parts which were five types of violence (controlling, emotional, security threatening, physical and sexual violence), whether they were threatened of disclosure of their sexual orientation to the public ("outing") and whether they had seek for help from other individuals or organizations after the violence as stated above. Results: The rate of reported at least one type of dating violence in gay men was 34.5％. Controlling for age, education, place of household registration etc., in logistic regression models, gay men were 5.08 times (95％ CI: 3.54——7.29) more likely to report any type of dating violence comparing to male heterosexual males. And 12.6％ gay men experienced the threat of being outed. Among those gay men who experienced dating violence, 85.2％ of them did not seek any help from anyone or any organization. Conclusion: Overall, the prevalence of dating violence among gay men is higher than that of heterosexual males. It is necessary to have targeted interventions for dating violence among gay men.