RESEARCH ARTICLE


Personality Traits in an Italian Sample: Relationship with Anxiety and Depression



Alessandra Minelli1, *, Laura Pedrini2, Laura Rosa Magni2, Alessandro Rotondo3
1 Genetic Unit, I.R.C.C.S. “San Giovanni di Dio” - Fatebenefratelli, Brescia, Italy
2 Psychiatric Unit, I.R.C.C.S. “San Giovanni di Dio” - Fatebenefratelli, Brescia, Italy
3 Department of Psychiatry, Neurobiology, Pharmacology, and Biotechnology. University of Pisa, Pisa, Italy


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© Minelli et al.; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the Genetic Unit, I.R.C.C.S. “San Giovanni di Dio” – Fatebenefratelli, Via Pilastroni, 4 – 25123 Brescia, Italy. Tel.: +39 030 3501596; Fax: +39 030 3533513; E-mail: aminelli@fatebenefratelli.it


Abstract

Personality traits provide a description of individual emotional and cognitive processes that modulate thoughts, feelings and behaviour. Few studies have investigated the relationship of personality traits with depression and anxiety in the general Italian population. The aim of the present study was to replicate previous evidences about the association of personality traits with anxiety and depression in a general Italian population sample.

We recruited 418 volunteers through different sources; such as university, newspaper advertisement, hospital, and elderly association. 327 subjects accepted to participate to the study and were screened with the Mini-International Neuropsychiatric Interview (M.I.N.I.) in order to assess DSM-IV Axis I disorders and with the Temperament and Character Inventory (TCI) in order to measure personality traits.

Based on the assessment made by the MINI, the whole sample consisted of 266 (81%) subjects without and 61 subjects (19%) with life-time DSM-IV Axis I disorders. Volunteers with life-time anxiety and depressive disorders showed high scores in Harm Avoidance as well as low scores in Self-Directedness and in the Novelty Seeking subscale “Exploratory Excitability”.

Our results support previous evidences showing that personality traits, in particular Harm Avoidance and Self-Directedness, could represent markers of vulnerability for depression and anxiety disorders.

Keywords: Personality traits, TCI, Depression, Anxiety.



INTRODUCTION

Personality traits are individual characteristics that influence cognition, emotions, and behaviour, leading to adaptive or maladaptive responses. Cloninger [1] have proposed the Temperament and Character Inventory (TCI), which includes four temperament (Novelty Seeking (NS), Harm Avoidance (HA), Reward Dependence (RD) and Persistence (P)) and three character (Self-Directedness (SD), Cooperativeness (C), Self-Transcendence (ST)) scales. TCI represents a useful instrument to measure personality in the light of Cloninger’s psychobiological model of personality. Temperament dimensions are highly heritable and stable throughout life [2] and are correlated to emotional reactions and habits. In contrast, Cloninger [3] originally proposed that the character dimensions were weakly heritable and influenced by social learning. However, their successive study [4] showed that the heritability of the character dimensions (27–45%) is comparable to that of the temperament dimensions (30-42%).

The relationship of personality traits with mood and anxiety disorders is extremely complex. Personality features may predispose to psychiatric disorders, mainly affective and anxiety disorders, and viceversa, some personality traits could be a consequence or complication of chronic debilitating disorders such as chronic depression or anxiety disorders. Among personality traits, the HA dimension of the TCI [5-11] and the NEO Personality Inventory dimension “neuroticism” [12-14], which is highly related to HA [15, 16], have been positively correlated with anxiety and depression. On the contrary, other personality dimensions, such as SD [10, 11, 17, 18], C [6, 19] and NS, in particular the subscale NS1 [7, 20, 21], have been negatively correlated with depression and/or anxiety.

Mostly, the above mentioned studies have investigated the relationship of personality traits with depression and anxiety disorders in clinical samples. Only few studies [18, 21-23] have been undertaken in the general population. The aim of the present study is to replicate previous evidences about the association of personality traits with anxiety and depression in a general Italian population sample.

MATERIALS AND METHODOLOGY

In order to constitute a general population control sample for genetic studies of psychiatric disorders we recruited in Brescia, Italy, 418 people through different sources; such as University of Brescia, local newspaper advertisement, Fatebenefratelli’s hospitals employees, and local elderly associations. The study was approved by the local Ethic Committee (Fatebenefratelli Hospital “San Giovanni di Dio” - Brescia, Italy) and participants gave written informed consent.

327 subjects accepted to participate to the study. All subjects were assessed for life-time DSM-IV Axis I disorders through the Mini-International Neuropsychiatric Interview (M.I.N.I.) [24]. The seven Cloninger’s dimensions of personality were assessed by the Italian version of TCI, a 240-item, true-false, self-report questionnaire [3]. In order to avoid biases in the filling of the TCI, subjects who obtained a score lower than 27/30 at the Mini Mental State Examination (M.M.S.E.) [25] was excluded from the study.

The association between mental disorders and TCI dimensions was analysed by the multivariate analysis of variance, using TCI scores as dependent variables, diagnoses as independent variable, and age and education as covariates (MANCOVA). Chi-square (χ2) test was used to evaluate the association between groups and categorical variables. With these parameters we had a sufficient power (0.95) to detect a small effect size (d = 0.09) for the HA dimension.

All analyses were conducted using the SPSS statistical software, version 12.0 (SPSS Inc. Chicago, IL).

RESULTS

Sociodemographic characteristics of the sample are shown in Table 1. Based on the assessment made by the MINI, the whole sample consisted of 266 (81%) subjects without and 61 subjects (19%) with life-time DSM-IV Axis I disorders. In the disordered group, 40 subjects had Major Depressive Disorder, 3 subjects had Panic Disorder, 21 had Generalized Anxiety Disorder, 6 had Dysthymia, 1 had Bipolar Disorder, 1 had alcohol abuse, and 1 substance abuse (the total number exceeds the number of subjects due to the presence of comorbidity). One subject was excluded because obtained a score lower than 27/30 at the MMSE. Since the aim of the study was to investigate the relationship between unipolar major depression and anxiety disorders with personality traits, we excluded from the analysis participants with other diagnosis (4 subjects). Thus, subjects were divided in two groups; one composed of healthy subjects (266) and one of subjects with depressive and/or anxiety disorders life-time (57 subjects).

Table 1.

Sociodemographic Characteristics of the Sample (N = 327)


Characteristic Healthy Subjects (266) Life-Time DSM-IV Axis I DISORDERS SUBJECTS (61) Statistic; p

N % N %

Age strata F = 4.09; 0.044
18-30 36 14% 8 13%
31-50 108 41% 12 20%
51-70 97 36% 33 54%
over 70 25 9% 8 13%

mean age (±SD) 49.45 (±15.86) 54.48 (±16.23)

Sex χ2= 7.89; p=0.005
Female 146 55% 47 77%
Male 120 45% 14 23%

mean age (±SD) 49.45 (±15.86) 54.48 (±16.23)

Education F = 4.09; 0.044
University 98 37% 15 25%
High school 87 33% 20 33%
Professional school 59 22% 16 26%
Elementary school 22 8% 10 16%

mean years (±SD) 12.9 (± 5.0) 11.3 (± 4.6)

Marital Status χ2=21.59; p<0.001
Single 67 25% 9 15%
Married or Cohabiting 166 62% 31 51%
Divorced 22 8% 11 18%
Widowed 11 4% 10 16%

Work Status χ2=9.61; p=0.048
Student 40 15% 2 3%
Employed 120 45% 23 38%
Housewife 46 17% 16 26%
Unemployed 2 1% 1 2%
Pension 58 22% 19 31%
Table 2.

TCI Scores Stratified According to the Diagnosis Assessed by M.I.N.I.


Subscale TCI Scales Mean +/- S.D. MANCOVA
Healthy Subjects (n = 266) Patients (n = 57) F; p
Temperament Scales
NS Novelty Seeking 44.45 +/- 12.87 41.93 +/- 12.66 0.456; 0.500
NS1 Exploratory excitability 51.54 +/- 20.21 40.83 +/- 19.37 8.187; 0.004
NS2 Impulsiveness 37.44 +/- 23.17 39.82 +/- 22.87 0.754; 0.386
NS3 Extravagance 53.51 +/- 17.19 52.63 +/- 18.25 0.065; 0.799
NS4 Disorderliness 35.53 +/- 17.07 35.61 +/- 16.80 0.011; 0.916
HA Harm Avoidance 41.10 +/- 16.17 58.90 +/- 18.84 38.331; <0.0001
HA1 Anticipatory worry 36.81 +/- 19.14 55.50 +/- 23.10 26.116; <0.0001
HA2 Fear of uncertainty 60.23 +/- 23.49 76.44 +/- 21.00 15.308; <0.0001
HA3 Shyness 41.49 +/- 24.38 55.26 +/- 29.12 9.136; 0.003
HA4 Fatigability and asthenia 31.12 +/- 20.76 52.63 +/- 26.69 37.715; <0.0001
RD Reward Dependence 61.25 +/- 14.88 64.91 +/- 15.25 1.341; 0.248
RD1 Sentimentality 63.53 +/- 19.47 70.17 +/- 19.41 0.786; 0.376
RD3 Attachment 61.56 +/- 24.84 61.84 +/- 25.81 0.146; 0.703
RD4 Dependence 57.02 +/- 21.55 60.23 +/- 23.73 1.629; 0.203
P/RD2 Persistence 54.98 +/- 22.28 49.78 +/- 26.46 1.890; 0.170
Character Scales
SD Self-directedness 75.90 +/- 13.42 65.63 +/- 16.11 14.356; <0.00014
SD1 Responsibility 82.19 +/- 19.35 66.01 +/- 27.62 17.327; <0.0001
SD2 Purposeful 69.92 +/- 20.75 57.02 +/- 21.65 10.667; 0.001
SD3 Resourcefulness 81.50 +/- 22.47 62.81 +/- 32.17 16.687; <0.0001
SD4 Self-acceptance 68.97 +/- 22.20 67.47 +/- 21.45 0.006; 0.938
SD5 Congruent 79.70 +/- 15.25 70.62 +/- 20.24 7.905; 0.005
C Cooperativeness 79.10 +/- 10.63 75.94 +/- 11.52 2.031; 0.155
C1 Social acceptance 83.22 +/- 17.30 77.85 +/- 21.78 3.032; 0.083
C2 Empathy 70.89 +/- 20.83 63.66 +/- 20.57 3.016; 0.083
C3 Helpfulness 76.46 +/- 16.46 72.15 +/- 15.67 0.218; 0.641
C4 Compassion 81.62 +/- 16.02 82.63 +/- 17.68 0.010; 0.921
C5 Pure-hearted 81.37 +/- 14.29 79.73 +/- 14.41 0.480; 0.489
ST Self-transcedence 38.16 +/- 17.46 42.26 +/- 17.07 0.139; 0.709
ST1 Self-forgetful 39.78 +/- 19.27 42.90 +/- 21.37 0.431; 0.512
ST2 Transpersonal 36.30 +/- 23.96 43.08 +/- 19.82 0.066; 0.798
ST3 Spiritual acceptance 38.08 +/- 23.73 41.16 +/- 23.46 0.003; 0.954

The two groups were not homogeneous both for age (healthy subjects 49.45 ± 15.86 (mean±SD) year-old; disordered group 54.14 ± 16.04 year-old; F = 4.10; p = 0.04), sex (55% and 75% females in the healthy and disordered groups respectively; χ2 = 7.89, p=0.005) and education (healthy subjects 12.9 ± 5.00 years; disordered group 11.53 ± 4.40 years; F = 3.93; p = 0.048).

The mean scores for TCI dimensions sorted by DSM-IV diagnoses are shown in Table 2. The disordered group showed significantly higher scores than healthy subjects in HA (Harm Avoidance) and lower scores in SD (Self-Directedness) as well as in NS1 (Exploratory excitability).

Because the control and disordered groups were not homogeneous for sex, we carried out also a MANCOVA analysis for females and males separately, in order to evaluate if the results could be affected by gender. Gender did not affect the results observed in the unsplitted sample for HA and SD. However, after splitting the sample by gender, SD5 and C2 were significantly lower only in the female disordered group as compared to the healthy one (data not shown).

DISCUSSION

In the present study, we investigated the correlation of depressive and anxiety disorders with personality traits in a general Italian population sample. The main finding is that subjects with life-time depressive and/or anxiety disorders showed high scores in HA and SD dimensions, as well as in NS1 subscale.

There has long been a strong interest in understanding the relationship between maladaptive personality traits and Axis I psychopathology, and this paper fits within this very rich and extensive literature. Indeed, our results are in agreement with previous data, mainly from clinical samples and general population, which show a strong association of HA and SD dimensions with depressive and anxiety disorders [5-11, 17-19, 23].

Our data provide further evidence that specific personality traits are associated with a lifetime history of depression or anxiety disorders. Longitudinal studies [5, 7, 9, 26] that examined TCI scores during course of recovery from depression found changes in various temperament and character dimensions, except for HA. Even if HA score significantly decreased during the time, it remains higher than healthy controls at the time of full remission; this supports the hypothesis that HA can be considered a partly state dependent trait and, overall, it acts as premorbid factor that predicts the vulnerability to burden of depression.

Therefore, our study supports the hypothesis that the HA dimension of TCI could represent a marker for emotional vulnerability to depression and anxiety disorders. Subjects with high HA could be described as pessimistic worriers who tend to anticipate harm and failure. They are nervous, insecure, unassertive, negativistic, or pessimistic even in situations that do not normally worry other people. On the other hand, low SD scorers often experience distress in defining setting and pursuing meaningful goals and values in everyday life. Thus, TCI SD represents a marker of executive functions that protect a person from depression. Therefore, in agreement with the Beck’s “Negative Cognitive Triad” theory of depression [27], sensitivity to life events with negative thoughts about the self, the world, and the future, generated by dysfunctional beliefs, could make one vulnerable to anxiety and mood disorders.

Finally, we found a significant and negative correlation of life-time mood and anxiety disorders with the NS1 subscale. This finding are consistent with previous studies demonstrating, in depressed patients, the tendency to avoid novelty and active exploration of unfamiliar environment [7, 20].

Several socio-demographic factors emerged to be associated with increased risk for depression and anxiety disorders. Low levels of education, loneliness situation and female gender, had a significant prevalence of lifetime history of these diseases. The main limitation of this study was the relatively small sample of population recruited, which did not allow the examination of the relationship between personality traits with depressive and anxiety disorders separately. In addition, the non-significant finding such as the comparison to current versus those with a past history could be non-significant because of the small sample size available. However, differently from previous reports where diagnoses were made by self-report screenings [18, 21-23], in this study participants were assessed with screened the MINI interview by trained psychologists, avoiding the possible bias produced by self-report screenings. Nonetheless, the recruitment of the subjects could origins a selection bias for the fact that the recruited volunteers that gave a positive response to participate to a research study could have a particular personality profile.

CONCLUSION

Our data are consistent with previous evidence about the correlation between HA and SD personality dimensions and NS1 subscale with mood and anxiety disorders. The current study purposed to replicate the findings of previous TCI studies in an Italian sample. This work supports and confirms the hypothesis that individual differences in personality structure and development have a strong influence on the risk of several forms of psychopathology. Clearly, the findings that are being replicated here are neither particularly surprising nor controversial, and it has been replicated many previous times, nevertheless, replication of earlier findings in different population can represent a useful contribution to the literature.

ACKNOWLEDGEMENTS

This research was supported by grants from the Italian Ministry of Health and CARIPLO Foundation.

REFERENCES

[1] Cloninger CR, Svrakic DM, Przybeck TR. A psychobiological model of temperament and character Arch Gen Psychiatry 1993; 50: 975-0.
[2] Bouchard TJ Jr, Loehlin JC. Genes, evolution, and personality Behav Genet 2001; 31: 243-73.
[3] Cloninger CR, Przybeck TR, Svrakic DM, Wetzel RD. The Temperament and Character Inventory (TCI): a guide to its development and use In: St Louis (Miss): Center for Psychology of Personality: Washington University 1994.
[4] Gillespie NA, Cloninger CR, Heath AC, Martin NG. The genetic and environmental relationship between Cloninger's dimensions of temperament and character Pers Individ Differ 2003; 35: 1931-46.
[5] Richter J, Eisemann M, Richter G. Temperament and character during the course of unipolar depression among inpatients Eur Arch Psychiatry Clin Neurosci 2000; 250: 40-7.
[6] Hirano S, Sato T, Narita T, et al. Evaluating the state dependency of the Temperament and character inventory dimensions in patients with major depression: a methodological contribution J Affect Disord 2002; 69: 31-8.
[7] Farmer A, Mahmood A, Redman K, Harris T, Sadler S, McGuffin P. A sib-pair study of the temperament and character inventory scales in major depression Arch Gen Psychiatry 2003; 60: 490-6.
[8] Abrams KY, Yune SK, Kim SJ, et al. Trait and state aspects of harm avoidance and its implication for treatment in major depressive disorder, dysthymic disorder, and depressive personality disorder Psychiatry Clin Neurosci 2004; 58: 240-8.
[9] de Winter RF, Wolterbeek R, Spinhoven P, Zitman FG, Goekoop JG. Character and temperament in major depressive disorder and a highly anxious-retarded subtype derived from melancholia Compr Psychiatry 2007; 48: 426-35.
[10] Matsudaira T, Kitamura T. Personality traits as risk factors of depression and anxiety among Japanese students J Clin Psychol 2006; 62: 97-109.
[11] Smith DJ, Duffy L, Stewart ME, Muir WJ, Blackwood DH. High harm avoidance and low self-directedness in euthymic young adults with recurrent, early-onset depression J Affect Disord 2005; 87: 83-9.
[12] Heisel MJ, Duberstein PR, Conner KR, Franus N, Beckman A, Conwell Y. Personality and reports of suicide ideation among depressed adults 50 years of age or older J Affect Disord 2006; 90: 175-80.
[13] Stankovic Z, Saula-Marojevic B, Potrebic A. Personality profile of depressive patients with a history of suicide attempts Psychiatr Danub 2006; 18: 159-68.
[14] Duberstein PR, Heisel MJ. Personality traits and the reporting of affective disorder symptoms in depressed patients J Affect Disord 2007; 103: 165-71.
[15] Sher KJ, Bartholow BD, Wood MD. Personality and substance use disorders: a prospective study J Consult Clin Psychol 2000; 68: 818-29.
[16] Zuckerman M, Cloninger CR. Relationships between Cloninger's, Zuckerman's, and Eysenck's dimension of personality Pers Individ Differ 1996; 21: 283-5.
[17] Marijnissen G, Tuinier S, Sijben AE, Verhoeven WM. The temperament and character inventory in major depression J Affect Disord 2002; 70: 219-3.
[18] Jylha P, Isometsa E. Temperament, character and symptoms of anxiety and depression in the general population Eur Psychiatry 2006; 21: 389-95.
[19] Sato T, Narita T, Hirano S, Kusunoki K, Sakado K, Uehara T. Is interpersonal sensitivity specific to non-melancholic depressions? J Affect Disord 2001; 64: 133-44.
[20] Hansenne M, Reggers J, Pinto E, Kjiri K, Ajamier A, Ansseau M. Temperament and character inventory (TCI) and depression J Psychiatr Res 1999; 33: 31-6.
[21] Richter J, Polak T, Eisemann M. Depressive mood and personality in terms of temperament and character among the normal population and depressive inpatients Pers Individ Differ 2003; 35: 917-27.
[22] Grucza RA, Przybeck TR, Spitznagel EL, Cloninger CR. Personality and depressive symptoms: a multi-dimensional analysis J Affect Disord 2003; 74: 123-30.
[23] Cloninger CR, Svrakic DM, Przybeck TR. Can personality assessment predict future depression? A twelve-month follow-up of 631 subjects J Affect Disord 2006; 92: 35-44.
[24] Sheehan DV, Lecrubier Y, Sheehan KH, et al. The mini-international neuropsychiatric interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10 J Clin Psychiatry 1998; 59(Suppl 20): 22-33. quiz 4-57
[25] Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician J Psychiatr Res 1975; 12: 189-98.
[26] Nery FG, Hatch JP, Nicoletti MA, et al. Temperament and character traits in major depressive disorder: influence of mood state and recurrence of episodes Depress Anxiety 2009; 26: 382-8.
[27] Beck AT. Depression: causes and treatment 1967.