A Comparative Study on Alexithymia in Depressive, Somatoform, Anxiety, and Psychotic Disorders among Koreans
Article information
Abstract
Objective
Little is known about the characteristic differences in alexithymic construct in various psychiatric disorders because of a paucity of direct comparisons between psychiatric disorders. Therefore, this study explored disorder-related differences in alexithymic characteristics among Korean patients diagnosed with four major psychiatric disorders (n=388).
Methods
Alexithymic tendencies, as measured by the Korean version of the 20-item Toronto Alexithymia Scale (TAS-20K), of patients classified into four groups according to major psychiatric diagnosis were compared. The groups consisted of patients with depressive disorders (DP; n=125), somatoform disorders (SM; n=78), anxiety disorders (AX; n=117), and psychotic disorders (PS; n=68).
Results
We found that substantial portions of patients in all groups were classified as having alexithymia and no statistical intergroup differences emerged (42.4%, 35.9%, 35.3%, and 33.3% for DP, SM, PS, and AX). However, patients with DP obtained higher scores in factor 2 (difficulties describing feelings) than those with SM or AX, after adjusting for demographic variables.
Conclusion
These findings suggest that alexithymia might be associated with a higher vulnerability to depressive disorders and factor 2 of TAS-20K could be a discriminating feature of depressive disorders.
INTRODUCTION
In the early 1970s, Sifneos et al. introduced the term "alexithymia," derived from the Greek words a (lack), lexis (word), and thymos (emotion).1,2 Alexithymia was originally defined as the inability to recognize and verbalize emotions, and has since been characterized as an emptiness of feelings, an impoverished imagination or fantasy life, difficulties in interpersonal communication, and a lack of positive emotions and a high prevalence of negative emotions.3,4 Subsequently, Taylor et al.5 proposed that alexithymia reflected a deficit in the cognitive processing of emotions or, more generally, a disturbance in the regulation of emotions.
Alexithymic features were first assumed to be typical of patients with classical psychosomatic diseases. However, further studies have shown that an alexithymic communicative style is not specific to patients with classical psychosomatic diseases.6 A growing number of studies have indicated that alexithymia exists in various psychiatric disorders such as depressive disorders,7-12 somatoform disorders,13-17 anxiety disorders,18-22 and schizophrenia.23-26 More specifically, alexithymia has been associated with certain psychiatric features such as somatization,27-30 depression,31 and dissociation.32,33 The prevalence of alexithymia was from 10% up to 18% even among general population.34-39
However, most previous studies have shown only that substantial portions of patients with a given psychiatric illness demonstrated alexithymia, and that this prevalence rate was higher than that in normal subjects. Surprisingly, owing to the paucity of direct comparisons between psychiatric disorders, little is known about the characteristic differences in alexithymic construct among various psychiatric disorders. Bankier et al.40 conducted a direct comparative evaluation of alexithymia in patients with somatoform, panic, obsessive-compulsive, and depressive disorder, taking into account the multidimensionality of the alexithymia. Duddu and colleagues, comparing between somatoform and depressive disorders, reported that while total alexithymia scores did not differentiate somatoform from depressive disorders, the two diagnostic groups did differ insofar as subjects with depression demonstrated greater difficulty in expressing feelings.16 Subic-Wrana et al.41 also revealed that significant diagnosis-related differences were not observed among the mean scores of the six diagnostic groups (i.e., depression, anxiety and compulsive-obsessive disorders, adjustment disorder, somatoform disorders, psychological factors with somatic disorders, and eating disorders) on the Toronto Alexithymia Scale-20 (TAS-20).42 Despite the value of the findings emanating from these studies, their limited sample sizes and differences in the sample selection criteria limit the generalizability of the results. Although our group reported the relationship between severity of symptoms of depression and alexithymia in patients with depressive disorders in Korea, no study has been conducted for the relationship between alexithymia and different diagnostic groups among Korean subjects.43
Thus, the aim of the present study was to compare the prevalence of alexithymia in four major mental disorders and to investigate whether there were differences in construct of alexithymia among them. We compared alexithymic tendencies, as measured by the TAS-20K, of four diagnostic groups (i.e., depressive, somatoform, anxiety and psychotic disorders) among a large sample size to explore the disorder-related differences in alexithymic construct. These four disorders were chosen for this comparison because depressive and somatoform disorders are the two diagnoses that most commonly co-occur with alexithymic tendencies and differences between the alexithymic characteristics in depressive and anxiety disorders are of great interest due to the high levels of comorbidity between these two conditions. Moreover, patients with psychotic disorders, primarily schizophrenia, were included to enable comparisons between neurotic and psychotic disorders. We also considered sociodemographic and clinical variables including severity and duration of illness.
METHODS
Subjects and procedures
The sample was drawn from patients at Kyungpook National University Hospital, Daegu, Korea, between January 2003 and March 2007. Assessments included administration of the Korean version of the 20-item Toronto Alexithymia Scale (TAS-20K) as well as chart reviews. Those with depressive, somatoform, anxiety, and psychotic disorders, as per DSM-IV criteria, were included. Exclusion criteria included age under 18 years, patients with any comorbid axis I psychiatric disorders, mental retardation, and any neurologic condition that might influence the ability to self-report. Adjustment disorder as well as mixed anxiety and depressive disorder, currently categorized within anxiety disorder NOS were also excluded because of their vague and mixed characteristics.
Demographic and psychosocial characteristics (i.e., sex, age, and level of education), and psychological assessment data (TAS-20K) were evaluated at the time of patient's first visit. Clinical information (i.e., primary and comorbid DSM-IV psychiatric diagnoses at the time of psychological evaluation, duration of illness, and Clinical Global Impression scores) were assessed through chart reviews.
Two experienced psychiatrists (J.H.K. and H.W.K.) reviewed the charts of 868 patients, confirmed previous diagnoses, and determined CGI scores based on patient records. After training for the CGI rating, the CGI of 30 randomly selected charts were rated independently by 2 raters and its inter-rater reliability was high (Spearman rho=0.87). Data on 388 inpatients and outpatients in psychiatric treatment during this 4-year period were collected and analyzed. This study was approved by the institutional review board of Kyungpook National University Hospital.
Psychological scales
The 20-item Toronto Alexithymia Scale (TAS-20)
The TAS-20 has become the most widely used measure of the alexithymia construct.42 This self-report questionnaire measures three intercorrelated dimensions of the alexithymia construct: 1) difficulties identifying feelings, 2) difficulties describing feelings, and 3) externally oriented thinking. Each TAS-20 item was rated on a 5-point Likert scale, with total scores ranging from 20 to 100. The cutoff point used for alexithymia was ≥61.44 The study by Lee et al.45 reported how the TAS-20 was translated into Korean (TAS-20K). Using confirmatory factor analysis, these authors showed that the three-factor structure of the original scale was consistent with the Korean version of the scale (Cronbach's α=0.76).
Clinical Global Impression-Severity Scale
The CGI-Severity (CGI-S) was used to assess the clinician's impression of the current state of the patient's illness.46 The rater was asked to "consider his/her total clinical experience with the given population." The time span considered is the week prior to the rating; and the following scores can be given: 1=normal, not at all ill, 2=borderline mentally ill, 3=mildly ill, 4=moderately ill, 5=markedly ill, 6=severely ill, and 7=among the most extremely ill patients.
Statistical analysis
Categorical cross-tabulations were examined for gender and alexithymia/non-alexithymia using the χ2 statistics. Between-group differences were compared in terms of demographic (e.g., age, education), clinical (e.g., duration of illness) and psychological variables (e.g., CGI score) using one-way analysis of variance (ANOVA) with post hoc Tukey's tests. Since the TAS-20K total and subfactor scores violated the assumption of normality, the Kruskal-Wallis test was used to compare these scores between diagnostic groups. Then, we followed up the main analysis with Mann-Whitney tests between pairs of groups, but only accepted them as significant if they were significant below 0.008 (0.05/number of tests=0.05/6).
Using a hierarchical regression analyses, age, gender, education, CGI score, and the duration of illness were entered in step one. The three dummy coding variables, with depressive group as baseline, were added in step two to examine the influence of particular DSM-IV disorders (i.e., psychotic, depressive, anxiety, and somatoform disorders) on alexithymia, as measured by total and subfactors scores on the TAS-20K. To avoid confusing interpretations of the comparative results between groups, depressive group, which is known to be the most alexithymic based on previous literature, was used as baseline.
The α level of significance was set at .05 for all the statistical analyses. All the statistical analyses were performed with SPSS for Windows software (version 12.0; SPSS Inc., Chicago, IL). Values are means±standard deviation (SD), unless otherwise noted.
RESULTS
Demographic and clinical characteristics
The average age of the study sample (n=388) was 40.2 years (±15.7) and 46% of the sample (n=178) were women. The sample consisted of 125 patients were categorized as DSM-IV depressive disorder (DP); 78 as somatoform disorder (SM); 117 as anxiety disorder (AX); 68 as psychotic disorder (PS). The mean CGI-S score was 3.38±0.95, indicating mildly to moderately ill.
We found significant group differences with regard to gender, age, and education. Post hoc analyses revealed that subjects with PS were the youngest and those with SM were the oldest. The SM group was the least educated. As expected, the clinical severity of patients with PS was significantly higher than that of the other groups, and the clinical severity of patients with SM was lower than that of other groups. However, no significant group differences emerged in relation to the duration of illness. Table 1 shows the demographic and clinical data for each psychiatric disorder group, including main Axis I diagnoses in detail.
Alexithymia and TAS-20K score
Subjects with DP (58.6±11.0) exhibited the highest mean TAS-20K total scores, followed by those with AX (57.8±10.8), SM (55.7±10.7), and PS (55.6±13.6). 42.4% of patients with DP had alexithymia; the corresponding figures, in descending order, were 35.9% for SM, 35.3% for PS, and 33.3% for AX. However, no statistically significant group differences were observed not only in the TAS-20K total score (H3=4.6, p=0.202) but in the prevalence of alexithymia (χ2=2.4, df=3, p=0.501) (Table 2).
For the TAS-20K subfactors, only factor 2 was significant between-group difference (H3=8.3, p=0.040) and post hoc comparisons indicated that patients with DP exhibited higher scores on factor 2 than those with SM (U=3784.5, p=0.007) (Table 2).
Relationships of TAS-20K total scores and subfactors with different DSM-IV disorder
Step 1 in hierarchical regression analyses revealed that age was negatively correlated with the TAS-20 K total score, and factor 1, 2 (p<0.01) but not with factor 3. Education was negatively associated with total score and factor 1 (p<0.05). These patterns were similar in the step 2 analyses (Table 3).
Step 2, in which we entered three new dummy variables for psychiatric disorders, showed that subjects with DP obtained higher TAS-20K total and factor 1 score compared to those with SM. Patients with DP obtained significantly higher scores to factor 2 than patients with SM or AX, but there was no significance between DP and PS. Factor 3 was not predicted by the presence of PS, AX, or SM (Table 3).
DISCUSSION
This study explored the disorder-related differences in alexithymic construct among four major psychiatric disorder groups. We found that substantial portions of patients in all groups met criteria for alexithymia and no statistical intergroup differences in percentage of alexithymia and TAS-20K total score emerged (42.4%, 35.9%, 35.3%, and 33.3% for DP, SM, PS, and AX, respectively). However, patients with DP obtained higher scores in factor 2 (difficulties describing feelings) than those with SM or AX, after adjusting for demographic variables.
In our study, patients with DP obtained the highest TAS-20K total scores (58.6±11.0) and exhibited the highest rates of alexithymia (42.4%), although statistical significance disappeared after adjusting for other demographic variables. These findings have been largely corroborated by previous studies that directly compared those psychiatric disorders showing the highest TAS-20 total scores with depressive disorders, regardless of whether such differences were significant.16,40,41 And the prevalence of alexithymia varied, ranging from 32 to 46%.8,9,31,47 Recently, Leweke et al.48 demonstrated a significantly increased proportion of alexithymic patients in depressive disorders (26.9%), as compared to other diagnostic groups and suggested that high levels of alexithymia in depressive patients may be an expression of the negative view of the self or may indicate emotional numbness.
Of interest is the fact that our regression analysis revealed that patients with DP scored significantly higher than those with SM or AX in factor 2. Duddu et al.16 reported that patients with depressive disorder demonstrated more difficulty than those with somatoform disorders in describing feelings. Bankier et al. and Leweke et al. also demonstrated that depression was significantly associated with scores on factor 2.40,48
Indeed, Saarijärvi et al.47 conducted a 1-year prospective study revealing that changes in alexithymia were associated with changes in the depression and these associations were explained by the changes in factor 1 and 2. They also reported that factor 1 (difficulties identifying feelings) decreased, whereas factor 2 did not change significantly during the follow-up, suggesting that the latter represents a relatively constant trait. Thus, our findings, consistent with those of previous studies, suggest that factor 2 might be able to discriminate between depressive disorders and other psychiatric disorders. Although the reason why factor 2 might be easily affected in depressive patients was still unknown, we speculated that patient with DP may feel more difficulties describing their emotions subjectively than those in other groups since they typically engage emotional inhibition strategy to deal with their symptoms, manifested as guilty or ambivalent feeling.
Contrary to generally held ideas that somatizing subjects experience greater difficulty expressing their emotions, our result of relatively low TAS-20K score in SM was consistent with the observations made by Duddu et al.16 who compared somatoform disorder and depressive disorder groups, each of which consisted of 30 subjects. Subic-Wrana et al. also did not find higher levels of alexithymia for somatoform disorders compared to other diagnostic groups, using both the Levels of Emotional Awareness Scale and TAS-20.41 In this regard, Lumley et al.49 proposed that the relatively emotionless descriptions of autobiographical details by somatoform patients may rather show a tendency to focus on somatic factors by disregarding emotional biographic aspects than a deficit in affect-processing.
Previous findings on anxiety disorders have differed across studies; rates of alexithymia varied from 12% to 60%, according to the particular diagnosis within the genre of anxiety disorders.20-22 Within our sample of various anxiety disorders, 33.3% of patients were proven to be alexithymic. Overall, patients with AX did not differ from patients with other disorders in terms of TAS-20K total and subfactor scores, with the exception of the scores on factor 2 obtained by those diagnosed with DP.
This study found that the mean total TAS-20K score of patients with PS was 55.6±13.6, and that 35.3% of this diagnostic group was classified as having alexithymia. These figures are congruent with those of previous studies,24,26,50 especially those reported by Maggini and Raballo showing a mean of 55.3±17.4 among 76 outpatients with schizophrenia (Maggini). Regardless of whether alexithymia and symptoms in schizophrenia (anhedonia, blunt affect, and alogia) are independent constructs24,44 or not,23,25 a substantial number of patients with PS had alexithymia, comparable to other disorder groups. Moreover, in the present study, subjects with PS were not significantly different from subjects with DP in TAS-20K total and subfactor scores even after adjusting for demographic and clinical variables. These findings suggest that alexithymia might be a sharing domain between depressive disorders and psychotic disorders. For example, Maggini et al.50 showed that impairment in receptive (disturbances in understanding the meaning of words) and expressive (disturbances in finding adequate words) language, which is a personality dimension related to alexithymia, was associated with a depressive dimension in schizophrenia. To address this issue, it would be valuable to compare depressive patients with and those without psychotic features in the future.
In contrast to initial findings that TAS-20 scores and sociodemographic variables (e.g., age, gender, educational level, and socioeconomic status) were not associated,36 several studies have indicated that male gender, older age, and low educational level were related to alexithymia.51,52 These observations, offered with respect to general populations, were applicable to our psychiatric sample. In our study, low educational level was positively related to total scores on the TAS-20K. However, age was negatively correlated with total scores on the TAS-20K. The negative correlation with age may be due primarily to the epidemiological characteristic of each diagnostic group. That is, the mean age of patients with SM having relatively lower means of the TAS-20K scores was significantly higher than the mean age of patients with DP who had the highest means of the TAS-20K scores. A comparable study among psychiatric patients with various diagnoses showed that TAS-20K total scores were related to low educational levels, but not to gender or age.40
There are some limitations of our study. First, owing to the retrospective study design, some data, such as those regarding diagnosis and disease severity, could be biased despite thorough reviews of all data and consequent discarding of improper data. Second, hierarchically, the highest categories of disorder in the DSM-IV classification were compared. Thus, disease-specific variables that might affect the presence of alexythymia were not well controlled. Third, since a control group consisting of healthy normal subjects was not included, this study did only present the relative comparative data between psychiatric disorders. In the same context, note that alexithymic tendency only explained a small amount of the variation in psychiatric disorders.
Regardless of these limitations, this comparative study has some methodological strength; the sample size was relatively large, including most of the common psychiatric disorders, the comorbid conditions that can be interfere the clear comparison were strictly excluded, and relevant covariates (age, gender and education level) were taken into account.
In conclusion, this comparative study showed that substantial portions of Korean patients in all diagnostic groups had alexithymia. Among subfactors, factor 2 might identify patients with depressive disorders since the latter obtained higher scores relative to the other diagnostic groups, after adjus-ting for other demographic variables.
Acknowledgments
This research was supported by Kyungpook National University Research Fund, 2012. The poster of this paper was presented and won the poster award at fall 2008 KNPA Annual Meeting.