Social Consequences of Mental Disorders: A Ten-Year Follow-up Study
Social Consequences of Mental Disorders: A Ten-Year Follow-up Study
批准号:
8436420
负责人:
RAMIN MOJTABAI
金额:
$28.39万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-04-01 至 2015-03-31
关键词:
AccountingAddressAgeAnxietyAnxiety DisordersBirthCardiovascular DiseasesCommunitiesComorbidityCross-Sectional StudiesDataData AnalysesDeveloped CountriesDevelopmentDiagnostic and Statistical ManualDiseaseDivorceDropsEconomic BurdenEmploymentEpidemiologic StudiesFundingGeneral PopulationHealthHealth Services ResearchHealthcareImpairmentIncomeIndividualInterventionInterviewLifeLife Cycle StagesLightLinkLongitudinal StudiesLongitudinal SurveysMarketingMarriageMeasuresMedicalMental HealthMental disordersMood DisordersMoodsMultivariate AnalysisNew ZealandObservational StudyOccupationalOccupationsOutcomeParticipantPeriod AnalysisPlayPoliciesPopulationPopulation Attributable RisksPregnancy in AdolescenceProspective StudiesPsyche structureRecording of previous eventsReportingResearchResource AllocationRespondentRiskRoleRuralSamplingSchoolsScoring MethodSeveritiesSocioeconomic StatusStagingSubgroupSuicideSurveysSymptomsSystemTechniquesUnemploymentVariantWorkYouthadverse outcomeage groupbaseburden of illnesscohortcontextual factorscostdisabilityeconomic costeconomic outcomeexperiencefollow-upfunctional outcomesphysical conditioningprospectivepublic health relevancesexsocialunemployment insurance
中文摘要
描述(由申请人提供):过去的研究发现,常见的精神障碍和不良的社会后果,如辍学,青少年怀孕,失业,婚姻不稳定和角色功能障碍之间有很强的关联。然而,在美国,大多数关于这些关联的研究都是基于横截面数据或选定的人群。横截面研究不能解开可能存在的相互关联之间的精神障碍和社会逆境和研究的基础上选择的样本不能推广到整个人口。需要整个人口的代表性样本的前瞻性数据。在美国,很少有这样的研究关注心理健康。虽然在其他工业化国家的出生队列和其他纵向研究中已经研究了精神障碍与社会结果的关联,但背景因素的变化,如学校系统,就业市场和失业保险政策,阻碍了结果在美国的推广。有必要对美国进行比较研究,以记录美国精神障碍的不良后果。在这个项目中,我们建议在5,001名年龄在15-54岁之间的美国全国科摩罗调查基线参与者中,研究具有情绪,焦虑,物质和行为障碍终身史的个体的不良社会和功能结果的发展,这些参与者在10年后进行了随访和重新访谈。在目标1中,我们确定基线精神障碍在多大程度上预测随后的中断在学校教育,就业和婚姻以及收入。在目标2中,我们专注于先前存在的精神障碍与随后的角色功能障碍的关联。在目标3中,我们着眼于人口层面的社会逆境,并确定这些结果中可归因于人口层面精神障碍的比例。在目标4中,我们评估精神障碍与不良结局的关联是否因性别、社会经济地位和年龄而异。分析将使用倾向评分技术来调整精神障碍发作前观察到的潜在混杂因素,这些混杂因素可以解释与后续结局的相关性。这项研究的结果可能有助于正在进行的关于投资于精神障碍研究和治疗的重要性的政策辩论,并可能有助于确定进行有针对性的干预以避免不良社会后果的亚组。
英文摘要
DESCRIPTION (provided by applicant): Past research has found strong associations between common mental disorders and adverse social outcomes such as school drop-out, teen pregnancy, unemployment, marital instability and impairment in role functioning. However, most studies of these associations in the US have been based on cross-sectional data or selected populations. Cross-sectional studies cannot disentangle reciprocal associations likely to exist between mental disorders and social adversities and studies based on selected samples cannot be generalized to the whole population. Prospective data in representative samples of the entire population are needed. There are few such studies with a focus on mental health in the US. While the associations of mental disorders with social outcomes have been studied in birth cohort and other longitudinal studies in other industrialized countries, variations in contextual factors, such as school systems, job markets, and unemployment insurance policies hinder generalization of results to the US. There is a need for comparable US studies to document the adverse consequences of mental disorders in the US. In this project, we propose to examine the development of adverse social and functional outcomes in individuals with lifetime histories of mood, anxiety, substance and conduct disorders in the 5,001 participants of the US National Comorbidity Survey between ages 15-54 at baseline who were followed-up and re-interviewed 10 years later. In Aim 1 we determine the extent to which baseline mental disorders predict subsequent disruptions in schooling, employment and marriage as well as earnings. In Aim 2 we focus on the associations of pre-existing mental disorders with subsequent impairments in role functioning. In Aim 3 we look at social adversities at the population level and determine the proportion of these outcomes that can be attributed to mental disorders at the population level. In Aim 4, we assess whether the associations of mental disorders with adverse outcomes vary by sex, socio-economic status, and age. Analyses will use propensity score techniques to adjust for observed potential confounders preceding the onset of mental disorders that could explain associations with subsequent outcomes. Results of the study could be useful in ongoing policy debates about the importance of investing in research and treatment of mental disorders and could help identify subgroups for targeted intervention to avert adverse social outcomes.
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