Content of Investigation and Analysis in our journal

        Published in last 1 year |  In last 2 years |  In last 3 years |  All
    Please wait a minute...
    For Selected: Toggle Thumbnails
    Co-prevalence of Substance Use Disorders and Common AxisⅠDisorders in Yunnan's Drug Users
    ZHANG Guanbai, ZHENG Ling, YANG Liping, ZHOU Qin, WANG Fei, HE Liangze, CHENG Xuan, CHA Li, LI Xinyue
    Chinese General Practice    2022, 25 (36): 4554-4560.   DOI: 10.12114/j.issn.1007-9572.2022.0426
    Abstract651)   HTML9)    PDF(pc) (2532KB)(260)       Save
    Background

    Mental disorders in drug users have received increasing attention. However, there are no any epidemiologic data available in regard to substance use disorders (SUD) and other mental disorders in drug users in Yunnan, one region that is hit hardest by epidemic of drug use in China.

    Objective

    To investigate the co-prevalence of SUD and a common mental disorder, axisⅠdisorders, among Yunnan's drug users.

    Methods

    A cross-sectional survey was conducted among a convenient sample of 598 male drug users who received detoxification treatment from the 5th Compulsory Detention and Forced Detoxification Center of Yunnan Province and Dali Compulsory Detention and Forced Detoxification Center between August and November, 2020. According to the diagnosis of SUD, the participants were divided into three groups: opioid use disorder group (n=245) , methamphetamine use disorder group (n=197) and double use disorder group (n=146) . The Chinese version of SCID-Ⅰ/P was used to assess the prevalence of common axisⅠmental disorders (psychosis disorder, affective disorder, alcohol use disorder, and sedative-hypnotic use disorder) . The lifetime prevalence of these disorders among the three groups was compared.

    Results

    Among the 598 cases, there were 588 cases diagnosed with SUD (opioid, methamphetamine, or both) . The lifetime prevalence of psychosis disorder, alcohol use disorder, sedative and hypnotic use disorder among the three groups was significantly different (P < 0.05) . The overall lifetime prevalence of schizophrenia, other primary and drug induced psychotic disorders was 15.82%. The lifetime prevalence of psychotic disorder in opioid use disorder group (5.31%) was lower than that of methamphetamine use disorder group (20.30%) or that of double use disorder group (27.40%) (P<0.05) . The overall lifetime prevalence of affective disorders was 21.77%. To be specific, the lifetime prevalence of affective disorders was 17.14% in opioid use disorder group, 25.38% in methamphetamine use disorder group, and 24.66% in double use disorder group. The overall lifetime prevalence of alcohol use disorder was 42.18%. Specifically, opioid use disorder group had lower lifetime prevalence of alcohol use disorder than methamphetamine use disorder group (35.10% vs 45.69%) and than double use disorder group (35.10% vs 49.32%) (P<0.05) . The overall lifetime prevalence of sedative or hypnotic use disorder was 13.61%. The lifetime prevalence of sedative or hypnotic use disorder was 19.18%, 22.60% and 0 in opioid use disorder group, double use disorder group, and methamphetamine use disorder group, respectively.

    Conclusion

    The prevalence of the above-mentioned mental disorders in drug users in Yunnan Province was much higher than that in the general population. Moreover, these mental disorders may be even more prevalent in methamphetamine use disorder population than in opioid use disorder population.

    Table and Figures | Reference | Related Articles | Metrics
    Trend Analysis of Life Expectancy and Disease Spectrum in Residents of Jing'an District in Shanghai, 2016-2021
    CHU Xiaoting, YANG Xiaoming, WAN Qiuping, ZHANG Guohui, XIONG Jianjing, FANG Jialie
    Chinese General Practice    2022, 25 (36): 4561-4566.   DOI: 10.12114/j.issn.1007-9572.2022.0381
    Abstract1037)   HTML12)    PDF(pc) (2574KB)(321)       Save
    Background

    As socioeconomic status and population health develop, death patterns and disease spectrum have changed. The impact of diseases on life expectancy have changed as well.

    Objective

    To analyze the change in life expectancy and disease spectrum in residents of Jing'an District in Shanghai from 2016 to 2021.

    Methods

    Population data and mortality data of permanent residents in Jing'an District of Shanghai from 2016 to 2021 were collected from the Public Security Bureau of Jing'an District, and the Jing'an District Mortality Surveillance System. The ICD-10 was used to categorize the underlying causes of death. The Abridged Life Tables and Arriaga's decomposition method were used to analyze the impacts of age groups and causes of death on life expectancy.

    Results

    The life expectancy of these residents from 2016 to 2021 ranged from 83.68 to 84.40 years, which increased by 0.72 years in 2021 compared with that of 2016. The life expectancy of male residents was 81.47 to 82.15 years, demonstrating an increase of 0.68 years during the period. The life expectancy was 85.95 to 86.74 years for female residents, showing an increase of 0.79 years during the period. The decrease of mortality rate in 65 to 84 age group contributed 83.29% to the increase of the life expectancy (0.60 years) , while the decrease of mortality rate in 15 to 44 age group contributed -17.18% to the increase of the life expectancy (-0.12 years) . The largest contribution to the increase of life expectancy was the mortality reduction in cancer, followed by that in respiratory disease, which contributed 56.20% and 53.55%, respectively. The largest contribution to the decrease of life expectancy was increased mortality due to injuries and poisoning, followed by that due to endocrine, nutritional and metabolic diseases, which contributed -35.69% and -17.25%, respectively.

    Conclusion

    The life expectancy of residents in Jing'an District from 2016 to 2021 was 83.68 to 84.40 years, seeing an increase of 0.72 years. The increase of life expectancy was mainly attributed to the decrease of mortality in 65 to 84 age group and the decrease of mortality due to cancer. However, the increase of mortality due to injuries and poisoning had negative contribution.

    Table and Figures | Reference | Related Articles | Metrics