Next Article in Journal
Effects of a Web-Based Educational Program Regarding Physical Restraint Reduction in Long-Term Care Settings on Nursing Students: A Cluster Randomized Controlled Trial
Next Article in Special Issue
Anxiety Levels Predict Bone Mineral Density in Postmenopausal Women Undergoing Oral Bisphosphonates: A Two-Year Follow-Up
Previous Article in Journal
Gambling Problems Are Associated with Alcohol Misuse and Insomnia: Results from a Representative National Telephone Survey
Previous Article in Special Issue
Risk of Pneumonia in Pediatric Patients Following Minor Chest Trauma: A Population-Based Retrospective Cohort Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Brief Report

Alexithymia Is Linked with a Negative Bias for Past and Current Events in Healthy Humans

by
Silvia Barchetta
1,
Gabriella Martino
2,
Giuseppe Craparo
3,
Mohammad A. Salehinejad
4,
Michael A. Nitsche
4,5 and
Carmelo M. Vicario
1,*
1
Department of Cognitive Sciences, Psicologiche, Pedagogiche e Degli Studi Culturali, Università di Messina, 98122 Messina, Italy
2
Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy
3
Faculty of Human and Social Sciences, UKE-Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy
4
Department of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors, 44139 Dortmund, Germany
5
Department of Neurology, University Medical Hospital Bergmannsheil, Bürkle de La Camp-Platz 1, 44789 Bochum, Germany
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(13), 6696; https://doi.org/10.3390/ijerph18136696
Submission received: 30 March 2021 / Revised: 13 June 2021 / Accepted: 16 June 2021 / Published: 22 June 2021
(This article belongs to the Special Issue Applying Clinical Psychology to Medical Conditions)

Abstract

:
Although research provides a rich literature about the influence of emotional states on temporal cognition, evidence about the influence of the style of emotion processing, as a personality trait, on temporal cognition is extremely limited. We provide a novel contribution to the field by exploring the relationship between difficulties of identifying and describing feelings and emotions (alexithymia) and time perspective. One hundred and forty-two healthy participants completed an online version of the TAS-20 scale, which measures alexithymia, and the Zimbardo Time Perspective Inventory, which monitors individual differences in time-orientation regarding the past, present, and future. The results show greater attention to past negative aspects in participants whose TAS-20 score was indicating borderline or manifest alexithymia, as compared to non-alexithymic individuals. Moreover, the higher the TAS-20 score, the higher the tendency was to focus on negative aspects of the past and interpret the present fatalistically. These results suggest that difficulties in identifying and describing feelings and emotions are associated with a negative bias for past and present events. Theoretical and clinical implications of this finding are discussed.

1. Introduction

Our ability to represent time is the result of an intricate interaction between several variables, which are provided by the surrounding environment (e.g., space and quantity information) [1,2,3] or related to our internal states, individual variables (e.g., executive functions, arousal, interoception, aging, handedness, body weight [4,5,6,7,8,9] and emotions, as shown by a rich literature in the field [10,11,12,13,14,15,16] have shown that the duration of emotional sounds is perceived to last longer than judgement of neutral sounds. Similar time distortions were documented in the perception of facial stimuli. Droit-Volet et al. [12] have shown that the perceived duration of the presentation of angry faces was judged to last longer than the duration of neutral face presentation. Finally, time perception can be influenced by mood manipulation. Droit-Volet et al. [17] found that the duration of a neutral stimulus was judged to be longer after viewing a frightening movie that increased the emotion of fear as compared to the presentation of the same stimulus preceding exposure to this movie.
Although research on emotions and temporal processing offers a rich literature, investigations on how the personality trait emotion processing style affects time perception is extremely limited. An exception is the study by Stolarski et al. [18] showing that more temporally balanced individuals show higher levels of emotional intelligence. Moreover, Wittmann et al. [19] found that a balanced time perspective, defined by Lewin [20] (p. 75) as “the totality of individual’s view of his psychological future and psychological past existing at a given time” and measured via the Zimbardo Time Perspective Inventory (ZTPI, [21]), is linked to higher acceptance of one’s own emotions, as measured via the Scale for Experiencing Emotions [22]. Balanced time perspective is a specific pattern of Time Perspective allowing one to effectively switch between time orientations in response to situational demands [23]. Moreover, enhanced emotion regulation experience is related to reduced deviation from the ideal time perspective. All these studies deliver evidence for the beneficial effect of emotional intelligence and regulation to the experience of time. However, no research has investigated whether and how a disturbance of affective-emotional processing is associated with the experience of time.
We addressed this aspect by investigating the temporal perspective in alexithymia. Alexithymia has been described as a stable personality characteristic, or trait [24,25] characterized by a disturbance of affective-emotional processing that causes difficulties in identifying and describing feelings and emotions verbally [26]. Individuals with alexithymia also have difficulties discerning between feelings and somatic sensations that accompany emotional arousal, which can cause somatic illness [27,28,29,30,31]. Furthermore, alexithymia is characterized by externally oriented thinking, reduced daydreaming, and impaired symbolic activity [32]. For all these reasons, alexithymia is ideal to assess the role of emotion appraisal as a personality trait, i.e., the habitual tendency of individuals with regard to emotion processing, on temporal perception in the absence of experimental manipulation involving exposure to emotional stimuli or conditions with the aim of influencing actual mood (i.e., state emotion condition). Moreover, our study contributes to the understanding of time perspective as a relevant associate of psychopathology [33] with respect to alexithymia, in the absence of concomitant psychiatric disorders that might confound the effect of this trait on the time perspective.
Based on evidence of emotion dysregulation in alexithymia (e.g., [34], one may hypothesize that difficulties in describing/interpreting personal and others’ emotions, as measured via the TAS-20, correlate with the temporal perspective of individuals. In line with the work of Wittmann et al. [19], which links a balanced time perspective with the ability to accept and regulate one’s own emotions, one may expect to detect a negative time perspective bias (i.e., a generally negative, aversive view of past and current events and the concept that fate determines most personal life events) in individuals with alexithymia.

2. Participants

142 healthy subjects took part in this study (105 females and 37 males, age range between 19 and 39 years). The sample included 79 students, 52 employees, and 11 unemployed participants. Participants were divided in three groups—alexithymic subjects (n = 20), borderline (n = 26), and non-alexithymic subjects (n = 96), according to respective TAS-20 scores. More details on how groups were created are provided in the Materials and Measures section.
The average age was 24.88 years, ± 4.31 SD (age range was 19–39). For demographic data, a one-way ANOVA showed no significant difference in age across the three groups [F(2, 139) = 2.25, p = 0.289, ηp2 = 0.017]. Neither did a difference emerge for gender [χ2 = 1.641, p = 0.445], or occupation [χ2 = 8.767, p = 0.067]. All participants gave their written informed consent prior to inclusion in the study and were naïve to its purpose. The data were anonymously collected. The study was approved by the local ethics board and was conducted in agreement with the principles of the Declaration of Helsinki.

3. Materials and Measures

3.1. TAS-20 (20 Item-Toronto Alexythymia Scale)

The TAS-20 is a self-reported scale used to measure alexithymia. It is composed of three subscales: (a) Difficulty in identifying feelings (DIF); (b) Difficulty in describing feelings (DDF); and (c) External oriented thought (EOT). Bagby et al. [35] have proposed three cut-off scores for the classification of individuals: alexithymic subjects (≥61), borderline (score range between 51 to 60), and non-alexithymic subjects (≤50). In this study, the Italian version of the Toronto Alexithymia Scale (20 items, TAS-20) was used, which was validated by Bressi et al. ([36], Cronbach’s alpha 0.75).

3.2. Zimbardo Time Perspective Inventory (ZTPI)

The Zimbardo Time Perspective Inventory (ZTPI) [21] was established to detect individual differences in time-orientation regarding different aspects of the past, present, and future. The ZTPI is composed of 56 items, which represent a combination of five main domains of the temporal perspective, for which participants have to indicate their level of agreement on a 5 point Likert scale: (1) past negative (PN), a generally negative, aversive view of the past; (2) past positive (PP), a warm, sentimental, positive attitude towards the past; (3) present fatalistic (PF), the concept that fate determines most personal life events; (4) present hedonistic (PE), which reflects a hedonistic, enjoyment- and pleasure-centered, risk-taking ‘devil may care’ attitude towards time and life; (5) Future (F), which measures general future orientation, planning for the achievement of future goals. According to Zimbardo & Sword [37], the “ideal temporal perspective” can be summarized by a low orientation towards negative aspects of the past, and fatalistic view of the present, and high orientation towards positive aspects of the past, as well as a hedonistic view of the present and future.

3.3. Procedure

All participants were contacted via social media (Facebook, Instagram). Next, they were asked to complete the test via Google forms. Before completing the TAS-20 and the ZTPI, participants were informed about the study procedures, and asked to read and accept a consent form to take part in the study.

3.4. Data Analysis

Statistical analysis was carried out by STATISTICA software, version 8.0 (Stat soft Inc., Tulsa, OK, USA). First, we performed the Shapiro–Wilk test of normality to establish whether parametric or not parametric analyses were to be applied. As the results of the Shapiro–Wilk showed a non-normal distribution (W = 0.970, p = 0.004), no parametric statistics were applied. Data were entered in a Kruskal–Wallis ANOVA to identify differences between the three groups (alexithymic, n = 20; Borderline, n = 23; Non-alexithymic, n = 99, according to TAS-20 scores) with regard to their temporal perspective measured via the ZTPI. Spearman correlation analyses were performed to investigate the association between the three sub-scales of the TAS-20 and the five subscales of ZTPI scores. The respective p-level was corrected for multiple comparisons. Therefore, the p level of significance was set to ≤0.003 (i.e., 0.05/15).

4. Results

The ANOVA showed a significant difference between groups for the past-negative subscale [H(2, 142) = 28.06, p < 0.001, η2 = 0.19]. Post hoc tests revealed a lower score for the non-alexithymic group (Sum rank = 5654.5), compared to borderline (Sum rank = 2478.5, p < 0.001, Cohen’s d = 0.9936) and manifest alexithymia groups (Sum rank = 2020, p < 0.001, Cohen’s d = 1.1679) (Figure 1A). We also found a significant difference in the present fatalistic subscale [H(2, 142) = 15.49, p < 0.001, η2 = 0.09]. Post hoc tests revealed a lower score of the non-alexithymic group (Sum rank = 6005.5), as compared to the borderline group (Sum rank = 2509.5, p < 0.001, Cohen’s d = 0.8568. Figure 1B). No further significant differences between the three groups emerged for the other ZTPI subscales.
Significant correlations were revealed when plotting scores of the three TAS-20 subscales with the scores of the five ZTPI subscales. We found a positive correlation between ‘difficulty in describing feelings’ and ‘past negative’ scores. Moreover, the ‘difficulty in identifying feelings’ scores positively correlated with ‘past negative’ and ‘present fatalistic’ scores. Table 1 provides details of all correlations.

5. Discussion

Several studies have shown that emotions affect time processing [13,38,39,40]. Moreover, a balanced time perspective is linked to an appropriate regulation of one’s own emotions [19] and emotional intelligence [18]. In line with this evidence, our data suggest that the trait-like individual difficulty in describing/interpreting personal and others’ emotions, as found in alexithymia and assessed via the TAS-20, is associated with a negative time perspective bias.
The results of the present study show higher scores for the past negative subscale in participants classified as borderline and manifest alexithymic, compared to participants with non-alexithymic TAS-20 scores. Moreover, we found higher scores of the present fatalistic subscale in participants classified as borderline compared to participants with non-alexithymic TAS-20 scores. No significant difference was found when comparing non-alexithymic and manifest alexithymia groups. This result can be explained by the low number of participants in the manifest alexithymia group. Finally, we found positive correlations between TAS-20 and ZTPI subscales. In particular, the higher the difficulty in describing feelings (DDF), the higher the score on the past negative subscale. Moreover, the higher the difficulty in identifying feelings (DIF), the higher the scores on the past negative and the present fatalistic subscales. These data suggest that both DDF and DIF scores are associated with the severity of the bias for negative past events, while only DIF scores are associated with the bias for a fatalistic vision/concept of the present.
These results are in line with the suggestion that people with a more severe alexithymia trait are affected by maladaptive rumination [41], defined as negative thinking about the past [42], but also about the present. Moreover, we show that the higher the TAS-20 score, the greater the tendency to interpret the present fatalistically. This may be interpreted as evidence that people with more severe alexithymia tend to perceive themselves as powerless, interpreting their present as externally predetermined or ruled by fate.
In summary, our study shows that in people with borderline and manifest alexithymia TAS-20 scores, the temporal perspective for the past and the present is unbalanced or biased toward negative representations and memories. This, in turn, may contribute to explaining the high predisposition of alexithymic people to develop psychopathological and psychosomatic disorders [27,43].
In their seminal study, Zimbardo and Boyd [21] reported that past negative and present fatalistic perspectives are associated with depression and anxiety. More recently, Van Beek et al. [44] reported that higher scores in the present fatalistic subscale are associated with lower extraversion and higher neuroticism. Our results are in line with these reports, as alexithymia is associated with depression, anxiety, and is related to low extraversion and high neuroticism [45,46]. Since we did not explore depression, anxiety, extraversion, and neuroticism in our sample, we cannot establish whether and to what extent these variables may have influenced the time perspective in participants with borderline and manifest alexithymia TAS-20 scores. Nevertheless, we believe it is unlikely that depression and anxiety have played an important role in the time perspective pattern of the present study, as it did not include clinical populations.
From a neuroscientific perspective, our results are in accordance with findings that past negative and present fatalistic views in the temporal domain are both negatively associated with Grey Matter Volume (GMV) of the anterior insula [47], since alexithymia is also associated with reduced GMV in this region [48,49]. The suggestion that the negative time perspective bias of our borderline and manifest alexithymic participants may be linked with reduced insula GMV is also supported by evidence for the involvement of this region in time processing [50], and negative experiences such as aversion [51], disgust [52,53], and pain [54]. Moreover, there is evidence for abnormal right parietal cortex activation in alexithymia [55], another central region for temporal perspective taking [56], and time perception [57].
From a cognitive perspective, our results would be compatible with the hypothesis of higher distress and working memory deficits explaining the higher scores for past negative and present fatalistic views of borderline and manifest alexithymic participants. This hypothesis is based on previous work in the field documenting that high distress is related to higher past negative scores [58] and working memory performance is associated with present fatalistic scores [59]. Nevertheless, since we did not investigate respective cognitive processes in the present study, this remains to be investigated in future.
The evidence for a negative/fatalistic time perspective bias in alexithymia provided by the results of this study suggests some potentially important information for clinical practice. It may also be relevant to work on time perspective in order to improve emotional skills in this affective disorder by modifying negative bias for past and current events. This negative bias, which may contribute to explaining emotional dysregulation [60], may be responsible, at least in part, for the onset and maintenance of several psychosomatic and mental disorders (e.g., [60]) typically associated with alexithymia, such as anxiety and depression [46]. However, this statement does not mean that we should tone down the relevance of emotions in other areas of life, and that working directly on emotion processing would be less valuable.
Some limitations of the present study should be taken into consideration. First, the number of participants with a TAS-20 score that fell into the manifest alexithymia category (i.e., a score > 61) was relatively low. Furthermore, our sample was biased towards female participants. However, no gender differences were reported between the three samples. Additionally, the current dataset was limited to a questionnaire that explored the perception of time related to emotions. To discern this specific feature of time perception from the general ability to represent the duration of internal and external events in alexithymia, it would be useful to collect information about time perception via computer-based studies in future investigations. Moreover, based on our data we cannot exclude the influence of depression and anxiety on the results, which might be especially relevant in borderline and manifest alexithymia participants, as we did not collect these data. Finally, we did not investigate interoceptive awareness in our participants. Given the link between interoception and time processing [61], as well as between interoceptive awareness and alexithymia [62], the inclusion of this variable would have been valuable to clarify its influence on the reported time perspective pattern.

6. Conclusions

This work shows, for the first time, that individuals with borderline and manifest alexithymia are characterized by a high tendency to focus on negative aspects of the past and interpret the present fatalistically. This suggests that difficulties in identifying and describing feelings and emotions are associated with a negative bias for past and present events.

Author Contributions

Conceptualization, C.M.V.; methodology, C.M.V.; software, C.M.V.; formal analysis, C.M.V.; investigation, S.B.; data curation, S.B.; writing—original draft preparation, C.M.V., G.M. and M.A.N.; writing—review and editing, C.M.V., G.M., G.C., M.A.S. and M.A.N.; project administration, S.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of the COSPECS Department, University of Messina (protocol code COSPECS_10_2020, approved the 02 September 2020).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy reasons.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Vicario, C.M.; Rappo, G.; Pepi, A.M.; Oliveri, M. Timing Flickers across Sensory Modalities. Perception 2009, 38, 1144–1151. [Google Scholar] [CrossRef] [PubMed]
  2. Vicario, C.M.; Martino, D. The neurophysiology of magnitude: One example of extraction analogies. Cogn. Neurosci. 2010, 1, 144–145. [Google Scholar] [CrossRef] [PubMed]
  3. Vicario, C.M.; Yates, M.J.; Nicholls, M.E. Shared deficits in space, time, and quantity processing in childhood genetic disorders. Front. Psychol. 2013, 4, 43. [Google Scholar] [CrossRef] [Green Version]
  4. Brown, S.W.; Boltz, M.G. Attentional processes in time perception: Effects of mental workload and event structure. J. Exp. Psychol. Hum. Percept. Perform. 2002, 28, 600–615. [Google Scholar] [CrossRef]
  5. Lewis, P.A.; Miall, R.C. Remembering the time: A continuous clock. Trends Cogn. Sci. 2006, 10, 401–406. [Google Scholar] [CrossRef]
  6. Vicario, C.M.; Bonní, S.; Koch, G. Left hand dominance affects supra-second time processing. Front. Integr. Neurosci. 2011, 5, 65. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Vicario, C.M.; Pavone, E.F.; Martino, D.; Fuggetta, G. Lateral Head Turning Affects Temporal Memory. Percept. Mot. Ski. 2011, 113, 3–10. [Google Scholar] [CrossRef]
  8. Vicario, C.M.; Caruso, V.; Craparo, G.; Felmingham, K. Time is overestimated in obesity: A cohort study. J. Health Psychol. 2021, 26, 771–785. [Google Scholar] [CrossRef] [PubMed]
  9. Vicario, C.M.; Felmingham, K. The Perception of Time Is Underestimated in Adolescents with Anorexia Nervosa. Front. Psychiatry 2018, 9, 121. [Google Scholar] [CrossRef] [Green Version]
  10. Droit-Volet, S.; Meck, W.H. How emotions colour our perception of time. Trends Cogn. Sci. 2007, 11, 504–513. [Google Scholar] [CrossRef]
  11. Noulhiane, M.; Mella, N.; Samson, S.; Ragot, R.; Pouthas, V. How emotional auditory stimuli modulate time perception. Emotion 2007, 7, 697–704. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Droit-Volet, S.; Tourret, S.; Wearden, J. Perception of the Duration of Auditory and Visual Stimuli in Children and Adults. Q. J. Exp. Psychol. Sect. A 2004, 57, 797–818. [Google Scholar] [CrossRef] [PubMed]
  13. Droit-Volet, S.; Gil, S. The emotional body and time perception. Cogn. Emot. 2015, 30, 687–699. [Google Scholar] [CrossRef]
  14. Effron, D.A.; Niedenthal, P.M.; Gil, S.; Droit-Volet, S. Embodied temporal perception of emotion. Emotion 2006, 6, 1–9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Tipples, J. Negative emotionality influences the effects of emotion on time perception. Emotion 2008, 8, 127–131. [Google Scholar] [CrossRef] [PubMed]
  16. Vicario, C.M.; Felmingham, K.L. Slower Time estimation in Post-Traumatic Stress Disorder. Sci. Rep. 2018, 8, 1–8. [Google Scholar] [CrossRef] [Green Version]
  17. Droit-Volet, S.; Fayolle, S.L.; Gil, S. Emotion and time perception: Effects of film-induced mood. Front. Integr. Neurosci. 2011, 9, 33. [Google Scholar] [CrossRef] [Green Version]
  18. Stolarski, M.; Bitner, J.; Zimbardo, P.G. Time perspective, emotional intelligence and discounting of delayed awards. Time Soc. 2011, 20, 346–363. [Google Scholar] [CrossRef]
  19. Wittmann, M.; Rudolph, T.; Linares Gutierrez, D.; Winkler, I. Time Perspective and Emotion Regulation as Predictors of Age-Related Subjective Passage of Time. Int. J. Env. Res. Public Health 2015, 12, 16027–16042. [Google Scholar] [CrossRef] [Green Version]
  20. Lewin, K. Field Theory in the Social Sciences: Selected Theoretical Papers; Harper: New York, NY, USA, 1951. [Google Scholar]
  21. Zimbardo, P.G.; Boyd, J.N. Putting time in perspective: A valid, reliable individual-differences metric. J. Personal. Soc. Psychol. 1999, 77, 1271–1288. [Google Scholar] [CrossRef]
  22. Behr, M.; Becker, M. Scales for experiencing emotions: Awareness, appraisal and regulation of one’s own emotions. Hell. J. Psychol. 2012, 9, 278–303. [Google Scholar]
  23. Boniwell, I.; Zimbardo, P. Balancing Time Perspective in Pursuit of Optimal Functioning. In Positive Psychology in Practice; Linley, P.A., Joseph, S., Eds.; John Wiley & Sons: Hoboken, NJ, USA, 2004; pp. 165–178. [Google Scholar]
  24. Taylor, G.J.; Bagby, R.M. The alexithymia personality dimension. In The Oxford Handbook of Personality Disorders; Widiger, T.A., Ed.; Oxford University Press: Oxford, UK, 2012; pp. 648–673. [Google Scholar]
  25. Martínez-Sánchez, F.; Ato-García, M.; Ortiz-Soria, B. Alexithymia—State or trait? Span. J. Psychol. 2003, 6, 51–59. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Craparo, G.; Gori, A.; dell’Aera, S.; Costanzo, G.; Fasciano, S.; Tomasello, A.; Vicario, C.M. Impaired emotion recognition is linked to alexithymia in heroin addicts. PeerJ 2016, 4, e1864. [Google Scholar] [CrossRef]
  27. Martino, G.; Caputo, A.; Schwarz, P.; Bellone, F.; Fries, W.; Quattropani, M.C.; Vicario, C.M. Alexithymia and Inflammatory Bowel Disease: A Systematic Review. Front. Psychol. 2020, 11. [Google Scholar] [CrossRef]
  28. Martino, G.; Caputo, A.; Vicario, C.M.; Catalano, A.; Schwarz, P.; Quattropani, M.C. The Relationship Between Alexithymia and Type 2 Diabetes: A Systematic Review. Front. Psychol. 2020, 11. [Google Scholar] [CrossRef] [PubMed]
  29. Orrù, G.; Gemignani, A.; Ciacchini, R.; Bazzichi, L.; Conversano, C. Machine Learning Increases Diagnosticity in Psychometric Evaluation of Alexithymia in Fibromyalgia. Front. Med. 2020, 6, 319. [Google Scholar] [CrossRef] [Green Version]
  30. Conversano, C.; Marchi, L.; Ciacchini, R.; Carmassi, C.; Contena, B.; Bazzichi, L.M.; Gemignani, A. Personality traits in fibromyalgia (FM): Does FM personality exists? A systematic review. Clin. Pract. Epidemiol. Ment. Health 2018, 14, 223. [Google Scholar] [CrossRef] [PubMed]
  31. Marchi, L.; Marzetti, F.; Orrù, G.; Lemmetti, S.; Miccoli, M.; Ciacchini, R.; Hitchcott, P.K.; Bazzicchi, L.; Gemignani, A.; Conversano, C. Alexithymia and Psychological Distress in Patients with Fibromyalgia and Rheumatic Disease. Front. Psychol. 2019, 10, 1735. [Google Scholar] [CrossRef] [Green Version]
  32. Taylor, G.J. Recent Developments in Alexithymia Theory and Research. Can. J. Psychiatry 2000, 45, 134–142. [Google Scholar] [CrossRef] [PubMed]
  33. Papastamatelou, J.; Unger, A.; Giotakos, O.; Athanasiadou, F. Is Time Perspective a Predictor of Anxiety and Perceived Stress? Some Preliminary Results from Greece. Psychol. Stud. 2015, 60, 468–477. [Google Scholar] [CrossRef]
  34. Stasiewicz, P.R.; Bradizza, C.M.; Gudleski, G.D.; Coffey, S.F.; Schlauch, R.C.; Bailey, S.T.; Bole, C.W.; Gulliver, S.B. The relationship of alexithymia to emotional dysregulation within an alcohol dependent treatment sample. Addict. Behav. 2012, 37, 469–476. [Google Scholar] [CrossRef] [Green Version]
  35. Bagby, R.M.; Taylor, G.J.; Parker, J.D.A. The twenty-item Toronto Alexithymia Scale. II. Convergent, discriminant, and concurrent validity. J. Psychiatr. Res. 1994, 38, 33–40. [Google Scholar] [CrossRef]
  36. Bressi, C.; Taylor, G.J.; Parker, J.D.A.; Bressi, S.; Brambilla, V.; Aguglia, E.; Allegranti, I.; Bongiorno, A.; Giberti, F.; Bucca, M.; et al. Cross validation of the factor structure of the 20-item Toronto Alexithymia Scale: An Italian multicenter study. J. Psychosom. Res. 1996, 41, 551–559. [Google Scholar] [CrossRef]
  37. Zimbardo, P.G.; Sword, R. Vivere e Amare. Guarire dal Passato, Abbracciare il Presente, Creare il Futuro Ideale; Brossura; Giunti Editore: Milano, Italy, 2019; p. 256, EAN: 9788809986657. [Google Scholar]
  38. Droit-Volet, S. Time perception, emotions and mood disorders. J. Physiol. Paris 2013, 107, 255–264. [Google Scholar] [CrossRef]
  39. Lake, J.I.; LaBar, K.S.; Meck, W.H. Emotional modulation of interval timing and time perception. Neurosci. Biobehav. Rev. 2016, 64, 403–420. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Droit-Volet, S.; El-Azhari, A.; Haddar, S.; Drago, R.; Gil, S. Similar time distortions under the effect of emotion for durations of several minutes and a few seconds. Acta Psychol. 2020, 210, 103170. [Google Scholar] [CrossRef] [PubMed]
  41. Di Schiena, R.; Luminet, O.; Philippot, P. Adaptive and maladaptive rumination in alexithymia and their relation with depressive symptoms. Personal. Individ. Differ. 2011, 50, 1–14. [Google Scholar] [CrossRef]
  42. Sanna, L.J.; Stocker, S.L.; Clarke, J.A. Rumination, imagination, and personality: Specters of the past and future in the present. In Virtue, Vice, and Personality: The Complexity of Behavior; Chang, E.C., Sanna, L.J., Eds.; American Psychological Association: Washington, DC, USA, 2003; pp. 105–124. [Google Scholar]
  43. Lumley, M.A.; Neely, L.C.; Burger, A.J. The Assessment of Alexithymia in Medical Settings: Implications for Understanding and Treating Health Problems. J. Pers. Assess. 2007, 89, 230–246. [Google Scholar] [CrossRef] [Green Version]
  44. Van Beek, W.; Berghuis, H.; Kerkhof, A.; Beekman, A. Time perspective, personality and psychopathology: Zimbardo’s time perspective inventory in psychiatry. Time Soc. 2011, 20, 364–374. [Google Scholar] [CrossRef]
  45. Marchesi, C.; Brusamonti, E.; Maggini, C. Are alexithymia, depression, and anxiety distinct constructs in affective disorders? J. Psychosom. Res. 2000, 49, 43–49. [Google Scholar] [CrossRef]
  46. Hemming, L.; Haddock, G.; Shaw, J.; Pratt, D. Alexithymia and Its Associations with Depression, Suicidality, and Aggression: An Overview of the Literature. Front. Psychiatry 2019, 10, 203. [Google Scholar] [CrossRef]
  47. Schmitt, S.; Besteher, B.; Gaser, C.; Nenadić, I. Human time perspective and its structural associations with voxel-based morphometry and gyrification. Brain Imaging Behav. 2020, 3, 1–9. [Google Scholar] [CrossRef]
  48. Goerlich-Dobre, K.S.; Votinov, M.; Habel, U.; Pripfl, J.; Lamm, C. Neuroanatomical profiles of alexithymia dimensions and subtypes. Hum. Brain Mapp. 2015, 36, 3805–3818. [Google Scholar] [CrossRef]
  49. Xu, P.; Opmeer, E.M.; van Tol, M.-J.; Goerlich, K.S.; Aleman, A. Structure of the alexithymic brain: A parametric coordinate-based meta-analysis. Neurosci. Biobehav. Rev. 2018, 87, 50–55. [Google Scholar] [CrossRef]
  50. Vicario, C.M.; Nitsche, M.A.; Salehinejad, M.A.; Avanzino, L.; Martino, G. Time Processing, Interoception, and Insula Activation: A Mini-Review on Clinical Disorders. Front. Psychol. 2020, 11. [Google Scholar] [CrossRef] [PubMed]
  51. Gehrlach, D.A.; Dolensek, N.; Klein, A.S.; Chowdhury, R.R.; Matthys, A.; Junghänel, M.; Gaitanos, T.N.; Podgornik, A.; Black, T.D.; Vaka, N.R.; et al. Aversive state processing in the posterior insular cortex. Nat. Neurosci. 2019, 22, 1424–1437. [Google Scholar] [CrossRef] [PubMed]
  52. Wicker, B.; Keysers, C.; Plailly, J.; Royet, J.-P.; Gallese, V.; Rizzolatti, G. Both of Us Disgusted in My Insula: The Common Neural Basis of Seeing and Feeling Disgust. Neuron 2003, 40, 655–664. [Google Scholar] [CrossRef] [Green Version]
  53. Vicario, C.M. Altered Insula Response to Sweet Taste Processing in Recovered Anorexia and Bulimia Nervosa: A Matter of Disgust Sensitivity? Am. J. Psychiatry 2013, 170, 1497. [Google Scholar] [CrossRef]
  54. Starr, C.J.; Sawaki, L.; Wittenberg, G.; Burdette, J.H.; Oshiro, Y.; Quevedo, A.S.; Coghill, R.C. Roles of the Insular Cortex in the Modulation of Pain: Insights from Brain Lesions. J. Neurosci. 2009, 29, 2684–2694. [Google Scholar] [CrossRef]
  55. Vicario, C.; Martino, G.; Marcuzzo, A.; Craparo, G. No Evidence of Perceptual Pseudoneglect in Alexithymia. Brain Sci. 2021, 11, 376. [Google Scholar] [CrossRef] [PubMed]
  56. Wittmann, M.; Simmons, A.N.; Flagan, T.; Lane, S.D.; Wackermann, J.; Paulus, M.P. Neural substrates of time perception and impulsivity. Brain Res. 2011, 1406, 43–58. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Vicario, C.; Martino, D.; Koch, G. Temporal accuracy and variability in the left and right posterior parietal cortex. Neuroscience 2013, 245, 121–128. [Google Scholar] [CrossRef] [PubMed]
  58. Witowska, J.; Zajenkowski, M. How is perception of time associated with cognitive functioning? The relationship between time perspective and executive control. Time Soc. 2018, 28, 1–24. [Google Scholar] [CrossRef]
  59. Witowska, J.; Zajenkowski, M. Cognitive consequences of timeframe bias. On the link between working memory, cognitive switching, and time perspective. Curr. Psychol. 2019. [Google Scholar] [CrossRef] [Green Version]
  60. Klemanski, D.H.; Curtiss, J.; McLaughlin, K.A.; Nolen-Hoeksema, S. Emotion Regulation and the Transdiagnostic Role of Repetitive Negative Thinking in Adolescents with Social Anxiety and Depression. Cogn. Ther. Res. 2017, 41, 206–219. [Google Scholar] [CrossRef]
  61. Clark, D.A. Intrusive Thoughts in Clinical Disorders: Theory, Research, and Treatment; Guilford Press: New York, NY, USA, 2005. [Google Scholar]
  62. Herbert, B.M.; Herbert, C.; Pollatos, O. On the Relationship Between Interoceptive Awareness and Alexithymia: Is Interoceptive Awareness Related to Emotional Awareness? J. Pers. 2011, 79, 1149–1175. [Google Scholar] [CrossRef] [PubMed]
Figure 1. (A) Median scores of the three groups of participants (Non-alexithymic, borderline, alexithymic) for the past negative ZTPI subscale. (B) Median scores of the three groups of participants (non-alexithymic, borderline, alexithymic) for the present fatalistic ZTPI subscale. Vertical bars indicate quartile ranges.
Figure 1. (A) Median scores of the three groups of participants (Non-alexithymic, borderline, alexithymic) for the past negative ZTPI subscale. (B) Median scores of the three groups of participants (non-alexithymic, borderline, alexithymic) for the present fatalistic ZTPI subscale. Vertical bars indicate quartile ranges.
Ijerph 18 06696 g001
Table 1. Correlation analysis between TAS-20 scores and the scores of the ZTPI subscales. p-levels were corrected for multiple comparisons (the critical level of significance is ≤0.003). The confidence interval is 95%.
Table 1. Correlation analysis between TAS-20 scores and the scores of the ZTPI subscales. p-levels were corrected for multiple comparisons (the critical level of significance is ≤0.003). The confidence interval is 95%.
Difficulty in Describing Feelings (DDF)Spearman RConfidence Intervalp-Level
Past Negative0.3410.187|0.478<0.001 *
Past Positive−0.134−0.292|0.0310.111
Present Hedonistic−0.023−0.187|0.1410.778
Present Fatalistic0.2200.059|0.3720.008
Future−0.016−0.181|0.1480.842
Difficulty Identifying Feelings (DIF)
Past Negative0.6130.5|0.706<0.001 *
Past Positive−0.228−0.378|−0.0670.006
Present Hedonistic0.1670.003|0.3230.046
Present Fatalistic0.4320.289|0.557<0.001 *
Future−0.230−0.38|−0.0690.005
Externally Oriented Thought (EOT)
Past Negative0.030−0.135|0.1940.719
Past Positive0.007−0.157|0.1710.931
Present Hedonistic−0.023−0.187|0.1420.784
Present Fatalistic0.069−0.096|0.2310.410
Future−0.234−0.384|−0.0730.004
* indicates significant results.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Barchetta, S.; Martino, G.; Craparo, G.; Salehinejad, M.A.; Nitsche, M.A.; Vicario, C.M. Alexithymia Is Linked with a Negative Bias for Past and Current Events in Healthy Humans. Int. J. Environ. Res. Public Health 2021, 18, 6696. https://doi.org/10.3390/ijerph18136696

AMA Style

Barchetta S, Martino G, Craparo G, Salehinejad MA, Nitsche MA, Vicario CM. Alexithymia Is Linked with a Negative Bias for Past and Current Events in Healthy Humans. International Journal of Environmental Research and Public Health. 2021; 18(13):6696. https://doi.org/10.3390/ijerph18136696

Chicago/Turabian Style

Barchetta, Silvia, Gabriella Martino, Giuseppe Craparo, Mohammad A. Salehinejad, Michael A. Nitsche, and Carmelo M. Vicario. 2021. "Alexithymia Is Linked with a Negative Bias for Past and Current Events in Healthy Humans" International Journal of Environmental Research and Public Health 18, no. 13: 6696. https://doi.org/10.3390/ijerph18136696

APA Style

Barchetta, S., Martino, G., Craparo, G., Salehinejad, M. A., Nitsche, M. A., & Vicario, C. M. (2021). Alexithymia Is Linked with a Negative Bias for Past and Current Events in Healthy Humans. International Journal of Environmental Research and Public Health, 18(13), 6696. https://doi.org/10.3390/ijerph18136696

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop