Relationship between alexithymia and depression: A narrative review

"Our similarities are different" The relationship between alexithymia and depression

Alexithymia is a multi-faceted personality trait, which is the inability to recognize and describe emotions. It is associated with a multitude of mental health problems, and its implication for the diagnosis and treatment of depression remains unclear. The current study explored the nuances of the relationship between alexithymia and depression in a sample of 210 patients with depression. We assessed alexithymia with the 20-Item Toronto Alexithymia Scale (TAS-20) and depression with the Beck Depression Inventory (BDI-I). The mean TAS-20 score was 57.47 ± 10.63, and the mean BDI-I score was 49.33±9.24. We explored the network structure of alexithymia and depression. Items related to difficulties in identifying, describing, and expressing feelings were prominent in the alexithymia network. Joy, guilt, and self-dislike stand out in the depression network. In our analysis, we were able to show the crescent relationship between depression and alexithymia, with an inflection point at a TAS-20 score of 53. Although the correlation-concordance index was moderate (0.41; 95 %CI: 0.29-0.51), both scales greatly overlap. In the joint network of alexithymia and depression, we could identify bridge (i.e., connecting) items between alexithymia and depression. These were difficulties understanding and relating feelings to physical and body sensations on the alexithymia side, and self-dislike, crying, and somatic concern on the depression side. Taken together, they point to the pivotal role of alexithymia in the somatization/embodiment of emotions and feelings in depression.

Language or rating scales based classifications of emotions: computational analysis of language and alexithymia

Rating scales are the dominating tool for the quantitative assessment of mental health. They are often believed to have a higher validity than language-based responses, which are the natural way of communicating mental states. Furthermore, it is unclear how difficulties articulating emotions-alexithymia-affect the accuracy of language-based communication of emotions. We investigated whether narratives describing emotional states are more accurately classified by questions-based computational analysis of language (QCLA) compared to commonly used rating scales. Additionally, we examined how this is affected by alexithymia. In Phase 1, participants (N = 348) generated narratives describing events related to depression, anxiety, satisfaction, and harmony. In Phase 2, another set of participants summarized the emotions described in the narratives of Phase 1 in five descriptive words and rating scales (PHQ-9, GAD-7, SWLS, and HILS). The words were quantified with a natural language processing model (i.e., LSA) and classified with machine learning (i.e., multinomial regression). The results showed that the language-based responses can be more accurate in classifying the emotional states compared to the rating scales. The degree of alexithymia did not influence the correctness of classification based on words or rating scales, suggesting that QCLA is not sensitive to alexithymia. However, narratives generated by people with high alexithymia were more difficult to classify than those generated by people with low alexithymia. These results suggest that the assessment of mental health may be improved by language-based responses analyzed by computational methods compared to currently used rating scales.

Literally or prosodically? Recognising emotional discourse in alexithymia

Alexithymia is characterised by difficulties in identifying, recognising, and describing emotions. We studied alexithymia in the context of speech comprehension, specifically investigating the incongruent condition between prosody and the literal meaning of words in emotion-based discourse. In two experiments, participants were categorised as having high or low alexithymia scores based on the TAS-20 scale and listened to three-sentence narratives where the emotional prosody of a key phrase or a keyword was congruent or incongruent with its literal meaning. The incongruent condition resulted in slower reaction times and lower accuracy in recognition of emotions. This incongruence effect was also evident for individuals with high alexithymia, except for anger. They recognised anger as accurately in both congruent and incongruent conditions. Contrary to our hypothesis, however, individuals with high alexithymia did not show an overall difference in emotion recognition compared to the low alexithymia group. These findings highlight the nuanced relationship between emotional prosody and literal meaning, offering insights into how individuals with varying levels of alexithymia process emotional discourse. Understanding these dynamics has implications for both cognitive research and clinical practice, providing valuable perspectives on speech comprehension, especially in situations involving incongruence between prosody and word meaning.

Psychometric Properties of a Novel Affective Bias Task and Its Application in Clinical and Nonclinical Populations

To mitigate limitations of self-reported mood assessments, we introduce a novel affective bias task. The task quantifies instantaneous emotional state by leveraging the phenomenon of affective bias, in which people interpret external emotional stimuli in a manner consistent with their current emotional state. This study establishes task stability in measuring and tracking depressive symptoms in clinical and nonclinical populations. Initial assessment in a large nonclinical sample established normative ratings. Depressive symptoms were measured and compared with task performance in a nonclinical sample, as well as in a clinical cohort of individuals who were undergoing surgical evaluation for severe epilepsy. In both cohorts, a stronger negative affective bias was associated with a higher Beck Depression Inventory-II score. The affective bias task exhibited high stability and interrater reliability as well as construct validity in predicting depression levels in both cohorts, suggesting that the task is a reliable proxy for mood and a diagnostic tool for detecting depressive symptoms.

Decoding the impact of night/day shiftwork on well-being among healthcare workers

This study delved into the complex effects of work schedules on the well-being of healthcare professionals, spotlighting Nigeria's medical landscape. A diverse cohort of 387 participants, spanning doctors, nurses, pharmacists, and laboratory technicians or scientists, formed the research base, with the majority being women (67.7%), with a mean age of 34.67 years. Professionals self-reported their predominant schedules to gauge work patterns, classifying them as day or night shifts. The World Health Organization Quality of Life Brief Version (WHOQOL-BREF) tool assessed the quality of life across the physical, psychological, social relationship, and environmental domains. Psychological distress was measured using the Depression, Anxiety, and Stress Scales (DASS), and perceived social support was evaluated via the Multidimensional Scale of Perceived Social Support (MSPSS). A cross-sectional design was adopted, and the study employed moderated mediation analysis using SmartPLS 4.0. The results underscored the significant ramifications of night shifts on environmental and physical well-being. Psychological health and social relationships were better among day shift than night shift workers. There was a pronounced correlation between night shifts and heightened levels of anxiety, stress, and depression. The mediating role of psychological distress and the moderating influence of social support in these relationships were evident. This study offers invaluable insights into the role of work schedules in shaping the well-being of healthcare professionals, emphasising the protective role of social support and the unique challenges faced by migrant health workers.

The mediating effect of internet addiction and the moderating effect of physical activity on the relationship between alexithymia and depression

There is a certain relationship between alexithymia and depression, but further investigation is needed to explore their underlying mechanisms. The aims of this study was to explore the mediating role of internet addiction between alexithymia and depression and the moderating role of physical activity. A total of 594 valid responses were included in the analysis, with a mean age of 18.72 years (SD = 1.09). The sample comprised 250 males (42.09%) and 344 females (57.91%). These responses were utilized for descriptive analysis, correlation analysis, regression analysis, and the development of mediation and moderation models. Alexithymia showed positive correlations with depression and internet addiction, and physical activity was negatively correlated with internet addiction and depression. Internet addiction partially mediated the relationship between alexithymia and depression, while physical activity weakened the association between internet addiction and depression, acting as a moderator. Our findings suggest that excessive Internet engagement may mediate the relationship between alexithymia and depression as an emotional regulatory coping strategy, and that physical activity attenuates the predictive effect of Internet addiction on depression.

Gender difference in association between clinical symptoms and alexithymia in chronic schizophrenia: A large sample study based on Chinese Han population

BACKGROUND

Alexithymia, a prevalent social cognitive impairment in schizophrenia, remains insufficiently studied. Though some studies propose a link between alexithymia and clinical symptoms of schizophrenia, this connection lacks consistent confirmation. Additionally, there is limited research on gender difference in alexithymia among schizophrenia patients. To fill this gap, our study aimed to conduct a large-sample survey of Chinese Han patients with chronic schizophrenia to explore whether there are gender differences between clinical symptoms and alexithymia.

METHODS

We obtained sociodemographic characteristics of 987 schizophrenia patients, measured their clinical symptoms using the Positive and Negative Syndrome Scale (PANSS), and assessed their self-reported alexithymia using the Toronto Alexithymia Scale (TAS-20).

RESULTS

In patients with chronic schizophrenia, the prevalence of alexithymia did not differ between genders (male: 35.51 % vs. female: 26.91 %, P = 0.018). Correlation and linear regression analyses revealed that PANSS scores and TAS-20 scores were widely correlated in both male and female patients. In particular, multiple linear regression analysis showed that the TAS total score was positively correlated with negative symptoms and cognitive symptoms in male patients, while it was positively correlated with negative symptoms and depressive symptoms in female patients.

CONCLUSION

Our study suggests that the prevalence of alexithymia in patients with chronic schizophrenia does not differ between genders. Negative symptoms are related to the TAS-20 total score in both male and female patients, while cognitive symptoms are only related to the TAS-20 total score in male patients, and depressive symptoms are only related to the TAS-20 total score in female patients.

Alexithymia in Chinese patients with chronic schizophrenia: Prevalence, clinical correlates, and relationship with neurocognition and empathy

INTRODUCTION

Alexithymia is highly prevalent and strongly related to adverse consequences in patients with schizophrenia. However, its associated factors remain largely unexplored. The present study aimed to determine the prevalence of alexithymia and its association with sociocultural characteristics, clinical symptoms, neurocognition, and empathy in 854 Chinese patients with schizophrenia.

METHOD

Demographic information was collected through a self-designed questionnaire. Alexithymia was assessed by the Toronto Alexithymia Scale (TAS-20). We assessed clinical symptoms, neurocognition, and empathy via the following instruments: Positive and Negative Syndrome Scale, Repeatable Battery for the Assessment of Neuropsychological Status, and Interpersonal Reactivity Index. A multiple logistic regression model was conducted to determine the independent correlates of alexithymia.

RESULTS

Approximately one-third (n = 277, 32%) of patients with schizophrenia had alexithymia. Patients with alexithymia had significantly more severe negative symptoms, neurocognition, and empathy impairment than patients without alexithymia. Being male, negative symptoms, personal distress, empathic concern, and language functioning were independently associated with alexithymia.

DISCUSSION

Our findings demonstrate a high prevalence of alexithymia and its strong association with clinical symptoms, neurocognition, and empathy, which calls for timely screening and intervention for alexithymia in patients with schizophrenia. Targeting impaired language function, negative symptoms, and impaired affective empathy might help reduce alexithymia and its related negative consequences.

Exploring the clinical characteristics and etiological factors of comorbid major depressive disorder and social anxiety disorder

The comorbidity between the major depressive disorder (MDD) and the social anxiety disorder (SAD) is significantly prevalent, necessitating a nuanced understanding of their overlapping clinical characteristics and shared etiological factors, including inflammatory biomarkers. To address this, we conducted a cross-sectional study from December 2021 to June 2022, encompassing 204 outpatients diagnosed with MDD-SAD comorbidity. We employed various psychometric assessments, such as the Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Childhood Trauma Questionnaire (CTQ-28), Toronto Alexithymia Scale (TAS-20) and the Liebowitz Social Anxiety Scale (LSAS). Additionally, we analyzed inflammatory biomarkers including the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte platelet ratio (NLPR), systemic inflammation index (SII), and the systemic inflammation response index (SIRI). Our findings accentuated that patients primarily diagnosed with MDD exhibited elevated levels of certain inflammatory biomarkers. They reported more severe and atypical depressive symptoms (75.7% vs 58.5%; P = 0.010) and had significantly higher CTQ-28 subscale scores (P < 0.05). Our study unveils a complex relationship between MDD and SAD, with significant disparities in the symptom severity and inflammatory biomarker levels, thereby establishing a compelling case for dual-diagnosis treatment approaches. It elucidates the critical role of inflammation in the comorbidity of MDD and SAD, marking a pioneering step towards more comprehensive and holistic patient care strategies. These insights could potentially revolutionize therapeutic approaches in psychiatric care, promising significantly improved outcomes through early detection and integrated intervention strategies.

Alexithymia and asthma: a systematic review

Growing evidence from scientific research elucidates the important role of alexithymia in chronic immune diseases. This Review aims to explore the presence of alexithymia in patients affected by asthma and clarify its associations with other involved psychological and physical factors. In January 2023, according to PRISMA guidelines, a systematic search using PubMed and Scopus was conducted. Twenty-six studies were eligible based on inclusion criteria. Alexithymia was significantly present in asthma patients, with most studies reporting a higher prevalence (from 9 to 62.8%) than in control groups (approximately 10%). The coexistence of asthma and alexithymia was associated with a worse quality of life, psychiatric comorbidity, poor symptom control, and difficulty in recognizing exacerbations of the disease. These results suggest that alexithymia can negatively impact the management of asthma. For this reason, we recommend an accuracy assessment in clinical settings and the implementation of psychological interventions to promote the emotional and physical wellbeing of asthmatic patients.

The relationship between alexithymia, depression, anxiety, and stress in elderly with multiple chronic conditions in China: a network analysis

Objective

This study aimed to construct a network structure to investigate the connections between alexithymia, depression, anxiety, and stress in Chinese older adults with multiple chronic conditions (MCC), identifying core and bridge symptoms, and comparing the network structure across different levels of alexithymia.

Methods

This study used a cross-sectional survey design and convenience sampling to recruit participants from six cities in Jiangsu Province. The study assessed the levels of alexithymia, depression, anxiety, and stress in older adults with MCC using the Toronto Alexithymia Scale (TAS-20) and the Depression Anxiety and Stress Scale-21 (DASS-21). Network analysis was performed using R language to identify core and bridge symptoms in the network and compare the network structure across different levels of alexithymia.

Results

A total of 662 participants were included in the analysis, including 395 men and 267 women. The mean age was 70.37 ± 6.92 years. The finding revealed that the "Difficulty Identifying Feelings" (DIF) node had the highest strength centrality (strength = 2.49) and predictability (rp = 0.76) in the network. The next highest strength centrality was observed for "Meaningless" (strength = 1.50), "Agitated" (strength = 1.47), "Scared" (strength = 1.42), and "No look forward" (strength = 0.75). They were identified as core symptoms. The bridge strength analysis identified "Panic," "Scared," "No wind down," "No initiative," and "No positive" as the bridge symptoms. There were notable differences in the overall network structure and specific connections between the groups with and without alexithymia (p < 0.05).

Conclusion

"DIF" is a core node in the network of older adults with MCC, indicating its significance as a potential target for psychological interventions in clinical practice. Preventing and mitigating bridge symptoms such as "panic," "Scared," "No wind down," "No initiative," and "No positive" can effectively impede the spread of symptom activation, thereby interrupting or severing the connections among comorbidities in older adults. Additionally, compared to non-alexithymia individuals, the psychological issues of older adults with alexithymia require prioritized intervention from healthcare professionals.

Investigation of the dual-task performance and affecting factors in female patients with fibromyalgia syndrome

Recent studies report that dual-task (DT) performance might be affected in patients with fibromyalgia syndrome (FMS). This cross-sectional study aims to compare the DT performance in female patients with FMS and healthy controls, and to investigate the DT-related factors in these patients. This study was conducted at a university hospital between November 2021 and April 2022. Forty females aged 30-65, diagnosed with FMS, and 40 aged-matched pain-free healthy controls were included. All participants performed the Timed Up and Go Test under a single task (ST) and a cognitive DT condition, and the DT cost was calculated. The following evaluations were applied; The six-minute walk test, Baecke Habitual Physical Activity Questionnaire, Multidimensional Fatigue Inventory-20, Toronto Alexithymia Scale, Trail Making Test, and the Revised Fibromyalgia Impact Questionnaire. As a result of the study, the patient group showed lower performance than controls in both, ST and DT conditions (p < .05). Disease duration, pain and fatigue severity, functional capacity, leisure time and physical activity total scores, alexithymia scores, health status, and cognitive variables were correlated with DT performance in the patient group (p < .05). According to our results, we consider that the rehabilitation approach for females with FMS should take into account DT and related characteristics.

Alexithymia in a Chinese Patient with Chronic Pain and Associated Factors: A Cross-Sectional Study

BACKGROUND

Alexithymia is more prevalent among those with patients living with chronic pain. Information on the prevalence of alexithymia in Chinese patients with chronic pain and associated factors is limited.

AIM

The primary objective of this study was to determine the prevalence of alexithymia, as defined by a score of 61 or greater in the 20-item Toronto Alexithymia Scale (TAS-20), in a Chinese patient with chronic pain. The secondary objective was to investigate the relationship between alexithymia and the clinical and psychological aspects of chronic pain.

METHODS

A cross-sectional observational study used the TAS-20 to assess alexithymia of Chinese patients with chronic pain. Sociodemographic and clinical information were obtained and participants filled in the Fear Avoidance Beliefs Questionnaire, Hospital Anxiety and Depression Scale, Pain Catastrophizing Scale, and General Self-efficacy Scale.

RESULTS

Of the 346 patients screened, 321 patients living with chronic pain were enrolled into the study. The prevalence of alexithymia among the study population (TAS-20 score ≥61) was 19.6% (95% confidence interval [CI]: 15.3-24.0). The findings showed anxiety (odds ratio [OR] = 2.474; 95% CI, 1.241-4.935), pain catastrophizing (2.649; 1.014-6.921), and self-efficacy (0.952; 0.908-0.988) as independent predictors of alexithymia in patients living with chronic pain.

CONCLUSIONS

Patients with chronic pain exhibiting alexithymia were at higher risk of pain catastrophizing, anxiety, and lower self-efficacy, compared with patients without alexithymia. It is important to identify and pay a special attention in clinical practice to patients with chronic pain exhibiting alexithymia, as these individuals are unable to properly express their emotions.

The Association between Alexithymia and Social Media Addiction: Exploring the Role of Dysmorphic Symptoms, Symptoms Interference, and Self-Esteem, Controlling for Age and Gender

Given the popularity of social media and the growing presence of these tools in the daily lives of individuals, research about the elements that can be linked to their problematic use appears to be of great importance. The objective of this study was to investigate the factors that may contribute to the levels of social media addiction, by focusing on the role of alexithymia, body image concern, and self-esteem, controlled for age and gender. A sample of 437 social media users (32.5% men, 67.5% women; M_age = 33.44 years, SD = 13.284) completed an online survey, including the Bergen Social Media Addiction Scale, Body Image Concern Inventory, Rosenberg Self-Esteem Scale, and Twenty-Item Toronto Alexithymia Scale, together with a demographic questionnaire. Results showed a significant association between alexithymia and social media addiction, with the total mediation of body image concern (and more in detail, body dissatisfaction) and the significant moderation of self-esteem. Gender and age showed significant effects in these relationships. Such findings may offer further insights into the field of clinical research on social media addiction and may provide useful information for effective clinical practice.

Depression, Disability, and Cognitive Impairment Among Elders With Medical Illnesses Attending Follow-Up Clinics at a Tertiary Care Hospital in Northern Sri Lanka

INTRODUCTION

The rising proportion of the elderly is increasingly affected by non-communicable diseases. Despite an abundance of literature suggesting that elders with medical conditions are more vulnerable to depression, disability, and cognitive impairment, these tend to go unnoticed and unaddressed. This study describes the prevalence and correlates of depression, disability, and cognitive impairment among elders with medical illnesses attending follow-up clinics in a tertiary care hospital in northern Sri Lanka.

METHODS

This descriptive cross-sectional study was carried out among 122 elders (≥60 years) attending medical clinics at Teaching Hospital Jaffna. Depression, disability, and cognitive impairment were assessed by the 15-item Geriatric Depression Scale, 12-item World Health Organization Disability Assessment Schedule 2.0, and Montreal Cognitive Assessment, respectively. Student's T-Test, ANOVA, and correlation coefficient were used in analyzing data using Statistical Package for Social Sciences 25 (SPSS-v25) (IBM, New York, United States).

RESULTS

The mean age of the participants was 68.3 years (SD=5.70); 58 (47.5%) were males and 64 (52.5%) were females. Prevalence of depression was 44.3% (95% CI=35.5-53.1), while disability was 95.9% (95% CI=92.4-99.4) and cognitive impairment was 80.3% (95% CI=73.2-87.4). Depression was significantly associated with gender (p=0.013), marital status (p=0.019), and living arrangement (p<0.001). Cognitive impairment was significantly associated with education level (p=0.045), and disability was associated with education level (p=0.008) and marital status (p=0.027). Among the study participants, only 12 (9.8%) had previously sought professional help for depression, disability, or cognitive impairment.

CONCLUSION

Depression, disability, and cognitive impairment are common among the elderly attending medical clinics in Teaching Hospital Jaffna, and are, in most cases, unaddressed.

The Association of White Matter Tracts with Alexithymia among Individuals with Major Depressive Disorder

Alexithymia is characterized by impairments in the processing of emotions. Although the disruptions in the white matter (WM) integrity in Major depressive disorder (MDD) has frequently been reported, the underlying relationship with alexithymia remains unclear. In the present study, we investigated WM tracts with Tracts Constrained by UnderLying Anatomy approach to discover potential associations between alexithymia and WM integrity to identify the neural basis of impaired emotional self-awareness in MDD. 101 patients with MDD and 99 healthy sex- and age-matched individuals underwent diffusion-weighted imaging. All participants were assessed with the 20-item Toronto Alexithymia Scale (TAS). TAS scores were significantly higher in MDD patients than in controls. Patients with MDD exhibited significantly lower FA values in the left inferior longitudinal fasciculus and it also showed negative associations with TAS. These results contribute to the neurobiological evidence on the association between MDD and alexithymia. Additionally, they suggest that reduced white matter integrity in the regions constitutes a principal pathophysiology underlying impaired emotional recognition and description in MDD.

Plasma circulating micro-RNAs associated with alexithymia reflect a high overlap on neuropsychiatric outcomes

BACKGROUND

Alexithymia ("no word for feelings") is a personality feature that is common in patients with psychiatric disorders. However, little is known about biological causes and mechanism behind. Research so far focusses on genetic risk variants primary associated with depression, but analyses on epigenetic mechanisms are still missing.

METHODS

In a sample of n = 813 subjects from the "Study of Health in Pomerania" we analyzed the association between alexithymia and plasma circulating micro RNAs (miRNA). Significant miRNAs were compared to associations regarding depression and pathway analyses were performed.

RESULTS

Two miRNAs were significantly associated with at least one of the alexithymia scores (hsa-miR-324-3p, hsa-miR-33a-5p) and three miRNAs additionally revealed a strong association pattern to alexithymia (hsa-miR-106b-5p, hsa-miR-484, hsa-miR-25-3p). None of these miRNAs was significantly associated with depressive symptoms in our sample. Literature research showed that all of the miRNAs have been found in association with several neuropsychiatric phenotypes.

LIMITATIONS

Main limitations are the lack of a replication sample as well as the limited number of miRNAs analyzed.

CONCLUSIONS

This is the first analysis investigating the association between miRNAs and alexithymia. Results indicate that miRNAs are not specific for one psychiatric disorder but may influence biological mechanisms that are involved in various psychiatric conditions which might be relevant for future treatment options and improve the biological understanding of psychiatric conditions.

Capacities for meta-cognition, social cognition, and alexithymia in postpartum depression

Postpartum depression (PPD), a female-specific disorder, is the most common medical complication associated with childbirth (10-20%). The pathological relevance of emotion processing, meta-cognition, alexithymia, and social cognition to PPD is unclear. We tested 25 mothers with PPD (mean age: 30.72 ± 5.76 years) and 25 healthy mothers (mean age: 32.03 ± 3.54 years) for alexithymia (Toronto Alexithymia Scale) and evaluated cognitive empathy (Faux Pas Test), affective empathy (Interpersonal Reactivity Index), meta-cognition (Meta-Cognitions Questionnaire), sociodemographic and clinical-psychometric characteristics and personality dimensions. Mothers with PPD showed higher levels of neuroticism and more anxiety-depressive characteristics. Their metacognitive abilities were significantly altered and they more often had alexithymia. Significant correlations between alexithymia and meta-cognition, trait anxiety, and neuroticism were found. Alexithymia, neurotic personality traits, and dysfunctional meta-cognition appear more frequently in PPD women than healthy women. Social cognition abilities were not significantly altered. Alexithymia and metacognitive distortions play important roles in the pathogenesis of PPD. Dysfunctional meta-cognition, neuroticism, and alexithymia may be risk factors that should be detected early in expectant mothers to prevent the development of PPD.