A Cluster Model of Temperament as an Indicator of Antidepressant Response and Symptom Severity in Major Depression
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Objective Not enough is known about which patients suffering from major depressive disorder benefit from antidepressant drug treatment. Individual temperament is relatively stable over a person’s lifespan and is thought to be largely biologically predefined. We assessedhow temperament profiles are related to depression and predict the efficacy of antidepressant treatment. Methods We recruited one hundred Finnish outpatients (aged 19 to 72) suffering from major depressive disorder, of whom 86 completedthe 6-week study. We assessed their temperament features with the Temperament and Character Inventory and used cluster analysis todetermine the patient’s temperament profile. We also categorized the patients according to the vegetative symptoms of major depressivedisorder. ResultsaaThere was an association between skewed temperament profile and severity of major depressive disorder, but the temperamentprofiles alone did not predict antidepressant treatment response. Those with higher baseline vegetative symptoms score had modest treatmentresponse. Our model with baseline Montgomery Åsberg Depression Rating Scale (MADRS) vegetative symptoms, age and temperamentclusters as explanatory variables explained 20% of the variance in the endpoint MADRS scores. Conclusion The temperament clusters were associated both with severity of depression and antidepressive treatment response of depression. The effect of the temperament profile alone was modest but, combined with vegetative symptoms of depression, their explanatorypower was more marked suggesting that there could be an association of these two in the biological basis of MDD.
Abstract
Objective Not enough is known about which patients suffering from major depressive disorder benefit from antidepressant drug treatment. Individual temperament is relatively stable over a person’s lifespan and is thought to be largely biologically predefined. We assessedhow temperament profiles are related to depression and predict the efficacy of antidepressant treatment. Methods We recruited one hundred Finnish outpatients (aged 19 to 72) suffering from major depressive disorder, of whom 86 completedthe 6-week study. We assessed their temperament features with the Temperament and Character Inventory and used cluster analysis todetermine the patient’s temperament profile. We also categorized the patients according to the vegetative symptoms of major depressivedisorder. ResultsaaThere was an association between skewed temperament profile and severity of major depressive disorder, but the temperamentprofiles alone did not predict antidepressant treatment response. Those with higher baseline vegetative symptoms score had modest treatmentresponse. Our model with baseline Montgomery Åsberg Depression Rating Scale (MADRS) vegetative symptoms, age and temperamentclusters as explanatory variables explained 20% of the variance in the endpoint MADRS scores. Conclusion The temperament clusters were associated both with severity of depression and antidepressive treatment response of depression. The effect of the temperament profile alone was modest but, combined with vegetative symptoms of depression, their explanatorypower was more marked suggesting that there could be an association of these two in the biological basis of MDD.
참고문헌 (30)
- Cloninger CR, "A psychobiological model of temperament and character", Arch Gen Psychiatry, 50, pp.975~990 (1993)
- Cloninger CR, "A unified biosocial theory of personality and its role in the development of anxiety states", Psychiatr Dev, 4, pp.167~226 (1986)
- de Winter RFP, "Character and temperament in major depressive disorder and a highly anxious-retarded subtype derived from melancholia", Compr Psychiatry, 48, pp.426~435 (2007)
- Farmer A, "A sib-pair study of the Temperament and Character Inventory scales in major depression", Arch Gen Psychiatry, 60, pp.490~496 (2003)
- Hansenne M, "Temperament and Character Inventory (TCI) and depression", J Psychiatr Res, 33, pp.31~36 (1999)
- Hirano S, "Evaluating the state dependency of the Temperament and Character Inventory dimensions in patients with major depression: a methodological contribution", J Affect Disord, 69, pp.31~38 (2002)
- Kimura S, "Typus melancholicus and the Temperament and Character Inventory personality dimensions in patients with major depression", Psychiatry Clin Neurosci, 54, pp.181~189 (2000)
- Marijnissen G, "The temperament and character inventory in major depression", J Affect Disord, 70, pp.219~223 (2002)
- Richter J, "Depressive mood and personality in terms of temperament and character among the normal population and depressive inpatients", Pers Indiv Differ, 35, pp.917~927 (2003)
- Naito M, "Temperament and Character Inventory (TCI) as predictors of depression among Japanese college students", J Clin Psychol, 56, pp.1579~1585 (2000)
- Jurado D, "Association of personality and work conditions with depressive symptoms", Eur Psychiatry, 20, pp.213~222 (2005)
- Jylha P, "Temperament, character and symptoms of anxiety and depression in the general population", Eur Psychiatry, 21, pp.389~395 (2006)
- Abrams KY, "Trait and state aspects of harm avoidance and its implication for treatment in major depressive disorder, dysthymic disorder, and depressive personality disorder", PSYCHIATRY AND CLINICAL NEUROSCIENCES, 58, pp.240~248 (2004), BLACKWELL PUBLISHING
- Sato T, "Temperament and character inventory dimensions as a predictor of response to antidepressant treatment in major depression", J Affect Disord, 56, pp.153~161 (1999)
- Kampman O, "Can onset and recovery in depression be predicted by temperament? A systematic review and meta-analysis", J Affect Disord, 135, pp.20~27 (2011)
- Sato T, "Factor validity of the temperament and character inventory in patients with major depression", Compr Psychiatry, 42, pp.337~341 (2001)
- Hansenne M, "Emotional intelligence and personality in major depression: trait versus state effects", Psychiatry Res, 166, pp.63~68 (2009)
- Matsudaira T, "Personality traits as risk factors of depression and anxiety among Japanese students", J Clin Psychol, 62, pp.97~109 (2006)
- Peirson AR, "The relationship between personality and mood: Comparison of the BDI and the TCI", Pers Indiv Differ, 30, pp.391~399 (2001)
- Grucza RA, "Personality and depressive symptoms: a multi-dimensional analysis", J Affect Disord, 74, pp.123~130 (2003)
- Ginsburg BE, "Molecular genetics of psychopathologies: a search for simple answers to complex problems", Behav Genet, 26, pp.325~333 (1996)
- Suzuki A, "A three-factor model of the MADRS in major depressive disorder", Depress Anxiety, 21, pp.95~97 (2005)
- Higuchi H, "Predictors of antidepressant response to fluvoxamine obtained using the three-factor structures of the Montgomery and Asberg Depression Rating Scale for major depressive disorders in Japanese patients", Psychiatry Clin Neurosci, 62, pp.301~306 (2008)
- Higuchi H, "No predictors of antidepressant patient response to milnacipran were obtained using the three-factor structures of the Montgomery and Asberg Depression Rating Scale in Japanese patients with major depressive disorders", Psychiatry Clin Neurosci, 62, pp.197~202 (2008)
- Kamata M, "Genetic polymorphisms in the serotonergic system and symptom clusters of major depressive disorder", J Affect Disord, 135, pp.374~376 (2011)
- Illi A, "5-HTR1A, 5-HTR2A, 5-HTR6, TPH1 and TPH2 polymorphisms and major depression", Neuroreport, 20, pp.1125~1128 (2009)
- Farmer RF, "Temperament and character predictors of depressed mood over a 4-year interval", Depress Anxiety, 26, pp.371~381 (2009)
- Spittlehouse JK, "Measures of temperament and character are differentially impacted on by depression severity", J Affect Disord, 126, pp.140~146 (2010)
- Kampman O, "Temperament profiles, major depression, and response to treatment with SSRIs in psychiatric outpatients", Eur Psychiatry, 27, pp.245~249 (2012)
- Kusunoki K, "Low novelty-seeking differentiates obsessive-compulsive disorder from major depression", Acta Psychiatr Scand, 101, pp.403~405 (2000)