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Using multiple datasets to examine youth psychiatric diagnosis

Using multiple datasets to examine youth psychiatric diagnosis
使用多个数据集检查青少年精神病学诊断
批准号:
8268457
负责人:
Prudence Winslow Fisher
金额:
$65.31万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-01 至 2014-03-31
关键词:
10 year oldAddressAdjustment DisordersAdolescentAdolescent PsychiatryAdoptedAdultAdvisory CommitteesAffectAgeAge of OnsetAlgorithmsAmerican Psychiatric AssociationAntisocial Personality DisorderAnxietyAnxiety DisordersArchivesAttention deficit hyperactivity disorderBehaviorCategoriesCharacteristicsChildChild PsychiatryChildhoodClassificationClinicalCommunitiesComorbidityConduct DisorderConsensusDSM-IIIDSM-IVDSM-VDataData AggregationData SetDatabasesDepressed moodDevelopmentDiagnosisDiagnosticDiagnostic and Statistical ManualDiagnostic and Statistical Manual of Mental DisordersDifferential DiagnosisDimensionsDiseaseDisruptive Behavior DisorderDysthymic DisorderExcisionFeeling suicidalFrequenciesFrightFutureGeneralized Anxiety DisorderGoalsHealth OccupationsHealth ProfessionalImpairmentIndividualInternationalInterviewInvestigationKnowledgeLifeLinkLiteratureMajor Depressive DisorderManualsMeasuresMental DepressionMental HealthMental disordersMethodologyModelingModificationMood DisordersMoodsNational Institute of Mental HealthNatural HistoryOppositional Defiant DisorderOutcomePanic DisorderPatternPhobic anxiety disorderPrevalenceProbability SamplesProceduresPsychiatric DiagnosisPsychiatristPsychologistPsychometricsPsychopathologyQualifierResearchResearch PersonnelResourcesRoleSamplingScheduleSeveritiesSocial FunctioningSourceSpecific qualifier valueStructureSymptomsSystemTaxonTestingTimeUnited States National Institutes of HealthVariantWorkYouthage relatedbasecare systemschild well beingcomparativecomparison groupcostdepressive symptomsdisease classificationdisorder subtypeearly onsetexperiencefollow-upimprovedinstrumentlongitudinal coursemeetingsminor depressive disordernamed groupnovel strategiesoutcome forecastprospectiveresponsestressorsymposiumyoung adult

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中文摘要
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英文摘要
Since the development of DSM-III in 1980, and through its subsequent revisions (DSM-III-R, DSM-IV), DSM criteria have become almost universally accepted as a basis for diagnosis in the mental health professions. Despite this broad acceptance, there is a paucity of empirical data available that support the highly specified diagnostic formations embodied in manual. The impact that adding, removing, or otherwise altering criteria may have on disorder prevalence, natural history, or associated impairment has not been well studied. There is little consensus on the issue of comorbidity and the extent to which this phenomenon represents misplaced diagnostic boundaries, responses to common antecedents, or causal linkages between disorders. Finally, and especially important to child psychiatry, there is relatively little information available about developmental differences in the expression and significance of DSM-defined disorders. The proposed project would compile and analyze a database of diagnostic and symptom data collected by 16 investigations of youth, all of which used a DSM- linked version of the DISC. The total database would have data on approximately 19,000 children and adolescents -- longitudinal data is available on approximately 14,000 of these. In addition to the specific analytic aims outlined in the proposal (examining the validity of diagnostic subtypes and specifiers; understanding diagnostic boundaries and comorbidity; justifying diagnostic thresholds; studying the appropriateness of individual symptom criteria; comparing dimensional and categorical definitions), the investigators will work closely with the DSM-V Task Force and others in order to identify and address the most important and pressing diagnostic and classification issues facing the field. While the immediate practical benefit of this project will be to inform the development of DSM-V, its longer-term importance will be to address the epistemological underpinnings of child and adolescent psychiatric nosology in general. In a cost-efficient, manner this project will afford a unique opportunity to address many questions that can only be answered with such a large aggregated dataset with well-defined samples assessed with a standardized, comprehensive and transparent methodology. The aggregated data will also represent an invaluable data resource for future research.
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