Dysthymia in DSM-IV and ICD-10: Nosology and diagnosis

被引:1
|
作者
LopezIbor, JJ [1 ]
机构
[1] UNIV COMPLUTENSE, SAN CARLOS HOSP, PSYCHIAT UNIT, E-28040 MADRID, SPAIN
关键词
dysthymic disorder; depressive disorders; personality disorders; ICD-10; DSM-IV;
D O I
10.1016/0924-9338(96)85184-4
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Since the DSM-III, the category of dysthymia includes patients that were previously considered as neurotic, reactive, characterological, temperamental, minor or atypical depressives as opposed to a category of endogenous, autonomous, morbid, major or typical depressives. Despite certain confusion, the need for a nosological category is very important for patients suffering from years of depressive mood, with a significant impact on their life-styles and adaptation, as they can benefit enormously from modem antidepressant treatments. DSM-IV and ICD-10 describe dysthymia in a very similar way although there are significant differences. The differences are the consequence of the lack of sufficient scientific data in some points and the need to take a decision, but also to indicate areas for future research. Other differences are the consequence of major discrepancies in basic perspectives of the classifications (ie, the importance given to disablement for the diagnosis). The similarities between both classifications allow the use of either of them for most purposes. Research on the different classifications should help in better defining the concept of dysthymia and mood disorders in general (ie, the cut-off points between them) and of psychiatric nosology.
引用
收藏
页码:S111 / S116
页数:6
相关论文
共 50 条
  • [11] Predictive validity of DSM-IV and ICD-10 criteria for ADHD and hyperkinetic disorder
    Lee, Soyoung I.
    Schachar, Russell J.
    Chen, Shirley X.
    Ornstein, Tisha J.
    Charach, Alice
    Barr, Cathy
    Ickowicz, Abel
    JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY, 2008, 49 (01) : 70 - 78
  • [12] DSM-III, DSM-IV AND ICD-10 AS SEVERITY SCALES FOR DRUG-DEPENDENCE
    LANGENBUCHER, JW
    MORGENSTERN, J
    MILLER, KJ
    DRUG AND ALCOHOL DEPENDENCE, 1995, 39 (02) : 139 - 150
  • [13] New Zealand psychiatrists views on global features of ICD-10 and DSM-IV
    Mellsop, Graham
    Dutu, Gaelle
    Robinson, Gail
    AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY, 2007, 41 (02) : 157 - 165
  • [14] Diagnostic discrepancies between ICD-10 and DSM-IV in personality disorders
    Urdaniz, AP
    Fernández, FMV
    Navarro, NM
    Ramos, RM
    Terrón, IM
    Larrosa, VR
    ACTAS ESPANOLAS DE PSIQUIATRIA, 2005, 33 (04): : 244 - 253
  • [15] Diagnosing dementia - ICD-10 not so bad after all: a comparison between dementia criteria according to DSM-IV and ICD-10
    Naik, Mala
    Nygaard, Harald A.
    INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, 2008, 23 (03) : 279 - 282
  • [16] Personality disorders in the general population: DSM-IV and ICD-10 defined prevalence as related to sociodemographic profile
    Ekselius, L
    Tillfors, M
    Furmark, T
    Fredrikson, M
    PERSONALITY AND INDIVIDUAL DIFFERENCES, 2001, 30 (02) : 311 - 320
  • [17] Classification of functional psychoses and its implication for prognosis:: Comparison between ICD-10 and DSM-IV
    Jäger, M
    Bottlender, R
    Strauss, A
    Möller, HJ
    PSYCHOPATHOLOGY, 2004, 37 (03) : 110 - 117
  • [18] Chinese psychiatrists views on global features of CCMD-III, ICD-10 and DSM-IV
    Zou, Yi-Zhuang
    Cui, Jie-Feng
    Han, Biao
    Ma, Ai-Li
    Li, Man-Ying
    Fan, Hong-Zhen
    ASIAN JOURNAL OF PSYCHIATRY, 2008, 1 (02) : 56 - 59
  • [19] Short versions of the geriatric depression scale: A study of their validity for the diagnosis of a major depressive episode according to ICD-10 and DSM-IV
    Almeida, OP
    Almeida, SA
    INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, 1999, 14 (10) : 858 - 865
  • [20] A Memetic Algorithm Approach to Network Alignment Mapping the Classification of Mental Disorders of DSM-IV with ICD-10
    Haque, Mohammad Nazmul
    Mathieson, Luke
    Moscato, Pablo
    PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'19), 2019, : 258 - 265