{"title":"中国性别特异性重度抑郁障碍发病率的时间趋势和队列变异:基于年龄-时期-队列-互动模型的分析。","authors":"Xiyuan Hu, Chao Guo","doi":"10.1136/gpsych-2023-101479","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Major depressive disorders (MDDs) impose substantial burdens on individuals and society; however, further detailed analysis is still needed for its long-term trends.</p><p><strong>Aims: </strong>This study aimed to analyse the gender-specific temporal trends and cohort variations of MDD incidence among Chinese residents over the past three decades.</p><p><strong>Methods: </strong>Employing the age-period-cohort-interaction model and leveraging data from the Global Burden of Disease Study 2019, this research identified and analysed incidence trends of MDD among Chinese males and females aged 5-94 years from 1990 to 2019 across three dimensions, encompassing age, period and birth cohort.</p><p><strong>Results: </strong>The analysis reveals age-related effects, indicating heightened MDD risk among adolescents and older adults. Specifically, individuals entering the older adulthood at the age of 65-69 significantly increased the risk of MDD by 64.9%. People aged 90-94 years witnessed a 105.4% increase in MDD risk for the overall population, with females and males in this age group experiencing a 75.1% and 103.4% increase, respectively. In terms of period effects, the risk of MDD displayed a decline from 1990 to 1994, followed by a rebound in 2008. Cohort effects demonstrated diverse generational patterns, with generation I and generation III manifesting opposing 'age-as-level' trends. Generation II and generation IV exhibited 'cumulative disadvantage' and 'cumulative advantage' patterns, respectively. Age effects indicated an overall higher risk of MDD incidence in females, while cohort effects showed greater variations of MDD incidence among females.</p><p><strong>Conclusions: </strong>The study underscores the substantial effects of age, period and cohort on MDD across genders in China. Priority interventions targeting vulnerable populations, including children, adolescents, older adults, females and the post-millennium birth cohort, are crucial to mitigate the impact of MDD.</p>","PeriodicalId":12549,"journal":{"name":"General Psychiatry","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11217997/pdf/","citationCount":"0","resultStr":"{\"title\":\"Temporal trends and cohort variations of gender-specific major depressive disorders incidence in China: analysis based on the age-period-cohort-interaction model.\",\"authors\":\"Xiyuan Hu, Chao Guo\",\"doi\":\"10.1136/gpsych-2023-101479\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Major depressive disorders (MDDs) impose substantial burdens on individuals and society; however, further detailed analysis is still needed for its long-term trends.</p><p><strong>Aims: </strong>This study aimed to analyse the gender-specific temporal trends and cohort variations of MDD incidence among Chinese residents over the past three decades.</p><p><strong>Methods: </strong>Employing the age-period-cohort-interaction model and leveraging data from the Global Burden of Disease Study 2019, this research identified and analysed incidence trends of MDD among Chinese males and females aged 5-94 years from 1990 to 2019 across three dimensions, encompassing age, period and birth cohort.</p><p><strong>Results: </strong>The analysis reveals age-related effects, indicating heightened MDD risk among adolescents and older adults. Specifically, individuals entering the older adulthood at the age of 65-69 significantly increased the risk of MDD by 64.9%. People aged 90-94 years witnessed a 105.4% increase in MDD risk for the overall population, with females and males in this age group experiencing a 75.1% and 103.4% increase, respectively. In terms of period effects, the risk of MDD displayed a decline from 1990 to 1994, followed by a rebound in 2008. Cohort effects demonstrated diverse generational patterns, with generation I and generation III manifesting opposing 'age-as-level' trends. Generation II and generation IV exhibited 'cumulative disadvantage' and 'cumulative advantage' patterns, respectively. Age effects indicated an overall higher risk of MDD incidence in females, while cohort effects showed greater variations of MDD incidence among females.</p><p><strong>Conclusions: </strong>The study underscores the substantial effects of age, period and cohort on MDD across genders in China. Priority interventions targeting vulnerable populations, including children, adolescents, older adults, females and the post-millennium birth cohort, are crucial to mitigate the impact of MDD.</p>\",\"PeriodicalId\":12549,\"journal\":{\"name\":\"General Psychiatry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11217997/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"General Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/gpsych-2023-101479\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"General Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/gpsych-2023-101479","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
Temporal trends and cohort variations of gender-specific major depressive disorders incidence in China: analysis based on the age-period-cohort-interaction model.
Background: Major depressive disorders (MDDs) impose substantial burdens on individuals and society; however, further detailed analysis is still needed for its long-term trends.
Aims: This study aimed to analyse the gender-specific temporal trends and cohort variations of MDD incidence among Chinese residents over the past three decades.
Methods: Employing the age-period-cohort-interaction model and leveraging data from the Global Burden of Disease Study 2019, this research identified and analysed incidence trends of MDD among Chinese males and females aged 5-94 years from 1990 to 2019 across three dimensions, encompassing age, period and birth cohort.
Results: The analysis reveals age-related effects, indicating heightened MDD risk among adolescents and older adults. Specifically, individuals entering the older adulthood at the age of 65-69 significantly increased the risk of MDD by 64.9%. People aged 90-94 years witnessed a 105.4% increase in MDD risk for the overall population, with females and males in this age group experiencing a 75.1% and 103.4% increase, respectively. In terms of period effects, the risk of MDD displayed a decline from 1990 to 1994, followed by a rebound in 2008. Cohort effects demonstrated diverse generational patterns, with generation I and generation III manifesting opposing 'age-as-level' trends. Generation II and generation IV exhibited 'cumulative disadvantage' and 'cumulative advantage' patterns, respectively. Age effects indicated an overall higher risk of MDD incidence in females, while cohort effects showed greater variations of MDD incidence among females.
Conclusions: The study underscores the substantial effects of age, period and cohort on MDD across genders in China. Priority interventions targeting vulnerable populations, including children, adolescents, older adults, females and the post-millennium birth cohort, are crucial to mitigate the impact of MDD.
期刊介绍:
General Psychiatry (GPSYCH), an open-access journal established in 1959, has been a pioneer in disseminating leading psychiatry research. Addressing a global audience of psychiatrists and mental health professionals, the journal covers diverse topics and publishes original research, systematic reviews, meta-analyses, forums on topical issues, case reports, research methods in psychiatry, and a distinctive section on 'Biostatistics in Psychiatry'. The scope includes original articles on basic research, clinical research, community-based studies, and ecological studies, encompassing a broad spectrum of psychiatric interests.