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ORIGINAL RESEARCH article

Front. Psychol., 11 May 2021
Sec. Psychopathology
This article is part of the Research Topic Recent Empirical Research and Methodologies in Defense Mechanisms View all 17 articles

Alexithymia, Emotional Distress, and Perceived Quality of Life in Patients With Hashimoto’s Thyroiditis

  • 1Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
  • 2Department of Dynamic and Clinical Psychology, and Health Studies, Sapienza University of Rome, Rome, Italy
  • 3Department of Cognitive Sciences, Psychological, Pedagogical and Cultural Studies, University of Messina, Messina, Italy
  • 4Department of Medical Endocrinology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
  • 5Department of Clinical Medicine, Faculty of Health and Clinical Sciences, University of Copenhagen, Copenhagen, Denmark
  • 6Master Program on Childhood, Adolescent and Women’s Endocrine Health, University of Messina, Messina, Italy
  • 7Interdepartmental Program of Molecular and Clinical Endocrinology and Women’s Endocrine Health, University Hospital, AOU Policlinico “G. Martino,” Messina, Italy

Emotion-processing impairment represents a risk factor for the development of somatic illness, affecting negatively both health-related quality of life (HRQoL) and disease management in several chronic diseases. The present pilot study aims at (i) investigating the associations between alexithymia and depression, anxiety, and HRQoL in patients with Hashimoto’s thyroiditis (HT); (ii) examining the association between these three psychological conditions together with HRQoL, and thyroid autoantibodies status as well as thyroid echotexture in patients with HT; and (iii) comparing the intensity of all these clinical psychological features in patients with HT versus controls. Twenty-one patients with serologically or ultrasonographically verified HT and 16 controls with non-toxic goiter or postsurgical hypothyroidism were recruited for this study. Serum thyrotropin (TSH) and free thyroxine, as well as thyroid autoantibodies (thyroglobulin antibodies and thyroid peroxidase antibodies), were assayed. Alexithymia, depression, anxiety, and HRQoL were assessed with Toronto Alexithymia Scale; Beck Depression Inventory, second edition; Hamilton Anxiety Rating Scale; and Health Survey Short-Form 36, respectively. A negative relationship between the difficulty to describe feelings and the cognitive component of depression was found (r = -0.46, p = 0.04). Besides, patients with seronegative HT had lower somatic anxiety than patients with HT who tested positive (r = -0.68, p = 0.01 and r = -0.59, p = 0.04, respectively). Besides, no statistically significant difference was found between patients with HT and controls with regard to somatic anxiety. The present study suggests the relevance of alexithymia in patients suffering from HT, which may be intertwined with a possible state of underreported depression that is mainly expressed through physical complaints. Promoting the capability to describe and communicate feelings could contribute to psychological elaboration and coping with the disease and, consequently, to the improvement of self-management and perceived HRQoL.

Introduction

Increasing interest exists regarding the crucial role of psychological factors predicting somatic diseases and influencing the management of chronic illness (Caputo, 2014; Van Houtum et al., 2015; Catalano et al., 2017, 2018, 2019, 2020; Martino et al., 2018a,b, 2020c,d; Conversano, 2019; Kelly et al., 2019; Merlo, 2019; Lenzo et al., 2020; Conversano and Di Giuseppe, 2021). Indeed, chronic disorders pose relevant challenges to patients with specific regard to compliance and adherence, such as entrusting care relationships, taking medications properly, adjusting to new limitations, and changing lifestyle (Castelnuovo et al., 2015; Tomai et al., 2018; Rosa et al., 2019; Aimé et al., 2020; Gugliandolo et al., 2020). This overall requires a better handling of the psychosocial impact of chronic diseases and a paradigm shift in healthcare provision (Caputo, 2015; Van Houtum et al., 2015; Cicero et al., 2017; Conversano et al., 2020; Martino et al., 2020d). Moreover, depression and anxiety are commonly considered two main psychological consequences of chronic disorders, their progression being favored by worsened mental health and perceived health-related quality of life (HRQoL) (Carr-Hill, 1992; Patron et al., 2017; Martino et al., 2019b; Quattropani et al., 2019; Vita et al., 2020) and thus requiring specific clinical psychological treatments (Tomaro et al., 2017; Gangemi et al., 2018; Vicario et al., 2019). Failures in emotion regulation, such as high use of maladaptive defense mechanisms, may in turn contribute to enhance feelings of powerlessness and distress negatively affecting self-care behaviors (Settineri et al., 2019).

In this regard, the conceptual construct of alexithymia—defined as the inability to identify and describe feelings, accompanied by an externally oriented thinking—is of primary importance (Taylor et al., 1999), because an emotion-processing impairment is acknowledged to be a risk factor for the development of somatic diseases, especially in persons affected by physical symptoms of unknown origin (Lumley et al., 1996, 2007; Willemsen et al., 2008; Castelli et al., 2012; Mazaheri et al., 2012; Craparo et al., 2016; Torrado et al., 2018; Marchi et al., 2019; Martino et al., 2020b,c; Prout et al., 2020). The relevance of alexithymia is also supported by the scientific research about the defensive patterns that may emerge in recognizing and elaborating on their illness when patients are not in tune with their affective experience (Di Giuseppe et al., 2014, 2019; Perry et al., 2015; Tesio et al., 2018; Martino et al., 2020a). Also, negative emotional experiences in patients with metabolic syndrome and cardiovascular risk factors have been demonstrated (Bell et al., 2007; Goldbacher and Matthews, 2007).

Among the most frequent endocrinologic pathologies, it is known that hypothyroidism, which is characterized by failure of the thyroid to produce adequate amounts of thyroid hormones, affects approximately 5% of the adult population (Cooper and Biondi, 2012). Hypothyroidism is associated with psychopathological disturbances, such as depression, anxiety, and even poor HRQoL (Crisanti et al., 2001; Cooper and Biondi, 2012; Vita et al., 2013; Winther et al., 2016). Furthermore, patients with hypothyroidism still report residual complaints after replacement treatment with levothyroxine and restoration of euthyroidism. These residual symptoms, including rapid mood changes, depression (fatigue, tearfulness, disturbed sleep, and loss of appetite), and anxiety (concentration problems, mental alertness, and irritability) (Bauer et al., 2001; Grabe et al., 2005; Bell et al., 2007; Samuels, 2008; Bathla et al., 2016; Rieben et al., 2016), may overlap with typical symptoms of psychosomatic disorders (Moncayo and Moncayo, 2014). As a result, HRQoL can be further reduced (Nexo et al., 2014; Boesen et al., 2018a,b). The relevance of these psychological residual symptoms has been highlighted also in patients with Hashimoto’s thyroiditis (HT) (Watt et al., 2012; Moncayo and Moncayo, 2014; Montagna et al., 2016), which is the most common autoimmune thyroid disease and the most common cause of thyroid failure, with hypothyroidism occurring in approximately half of patients with HT (Benvenga and Trimarchi, 2008). Indeed, a high prevalence of psychopathological disorders has been demonstrated in patients with HT (Broniarczyk-Czarniak, 2017), suggesting the importance of personality features and coping strategies of such patients, who could benefit from clinical psychological counseling and support (Yıldız et al., 2017).

To the best of our knowledge, only three studies focused on the relationship between alexithymia and thyroid diseases, one of them including women in the postpartum setting (Le Donne et al., 2012) and two studies including patients with autoimmune thyroid diseases (Ivanova and Gorobets, 2011; Hasegawa et al., 2019). Particularly, Ivanova and Gorobets (2011) concluded that alexithymia is both a risk factor for HT development and a predictor of HT course.

The present cross-sectional, pilot study aims at (i) investigating the associations between alexithymia and depression, anxiety, and HRQoL in patients with HT; (ii) examining the association between these three psychological conditions and HRQoL, and both thyroid autoantibodies status and thyroid echotexture in patients with HT; and (iii) comparing the intensity of such psychological conditions and HRQoL scores in patients with HT versus controls.

Materials and Methods

Participants

Hashimoto’s thyroiditis patients and controls were consecutively enrolled from December 2019 through March 2020 at the Department of Clinical and Experimental Medicine of the University Hospital “G. Martino” of Messina, Italy. HT patients had serological and/or ultrasonographic evidence of autoimmune thyroiditis, the first consisting of positivity for one or both thyroid autoantibodies [thyroglobulin antibodies (TgAb) and thyroid peroxidase antibodies (TPOAb)], whereas the second consisted of ultrasonographic evidence of hypoechoic and inhomogeneous echotexture of the thyroid. All patients with HT were on replacement therapy with levothyroxine. Patients with nodular goiter or with levothyroxine-replaced postsurgical hypothyroidism were enrolled as controls. All patients with nodular goiter were euthyroid (i.e., they took neither levothyroxine nor antithyroid drugs), tested negative for both TgAb and TPOAb, and had normal thyroid echogenicity at ultrasound, whereas all patients who had been thyroidectomized were necessarily on levothyroxine. Patients who were thyroidectomized for thyroid nodules, whose serum TgAb and TPOAb were both negative prior to surgery, and whose thyroid histology demonstrated benignity of the nodule and histological absence of lymphocytic thyroiditis were eligible as controls. Exclusion criteria for both HT patients and controls were age <18 years; neuropsychiatric disturbances according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) diagnostic criteria (American Psychiatric Association, 2013); and serum thyrotropin (TSH) ≤0.4 or ≥4.0 mU/L. In this regard, controls with nodular goiter and with serum TSH between 0.4 and 1 mU/L or underwent a 99mTc pertechnetate scan were excluded if hyperfunctioning nodules were confirmed (Haugen et al., 2016). Finally, based on the mentioned exclusion criteria, only 21 patients with HT and 16 age-matched controls were eligible and entered the study. Both HT patients and controls underwent blood sampling a few days prior to the visit to detect serum parameters and clinical psychological evaluation at the visit performed by a researcher in clinical psychology.

Clinical Data and Biochemical Variables

Blood was drawn in the morning (8–9 AM) after an overnight fasting a few days prior to the visit. Serum TSH, thyroxine (FT4), and thyroid autoantibodies were assayed by an immunometric method in patients with HT and controls and evaluated by a physician. Demographics (gender, age, and education level) and body mass index (BMI) were collected during the visit.

Psychological Assessment

Psychological assessment was conducted by a researcher in clinical psychology, in a confidential setting, performing a gold-standard clinical psychological interview and a psychodiagnostic examination (Rafanelli et al., 2003; Fava et al., 2012), through the Structured Clinical Interview for DSM-5—Research Version (SCID-5, Research Version) (First et al., 2015).

The Italian version of the Toronto Alexithymia Scale (TAS-20) (Bressi et al., 1996) was used to measure alexithymic traits. TAS-20 is a self-administered questionnaire comprising 20 items scored on a five-point Likert scale, with a total score ≥61, 60–52, or ≤52 indicating frank alexithymia, possible alexithymia, or normality, respectively. TAS-20 consists of three subscales addressing three main features of alexithymia (Taylor, 2000; Taylor et al., 2003): (i) the difficulty identifying feelings (DIF) subscale, which measures the difficulty in distinguishing between specific emotions and/or bodily sensations related to emotional arousal and contains seven items; (ii) the difficulty describing feelings (DDF) subscale, which indicates the inability to verbalize perceived emotions and contains five items; (iii) the externally oriented thinking (EOT) subscale, which suggests the tendency to focus attention externally instead of considering interior emotional experience and contains eight items. In the present study, the reliability (Cronbach’s α) was 0.75 for the total score, and 0.69, 0.72, and 0.66 for DIF, DDF, and EOT subscales, respectively (Taylor, 2000; Taylor et al., 2003).

The Beck Depression Inventory, second edition (BDI-II), was administered to measure depressive symptoms. It consists of 21 items scored on a four-point Likert scale from 0 (not present) to 3 (severe) (Beck et al., 1996; Ghisi et al., 2006), allowing the detection of somatic–affective depressive symptoms (e.g., agitation, loss of interest, and loss of energy) and cognitive depressive symptoms (e.g., pessimism, guilty feelings, and self-dislike). Total scores of 0–13, 14–19, 20–28, and 29–63 indicate minimal, mild, moderate, and severe depression, respectively. In the present study, the reliability (Cronbach’s α) of the measure was 0.77 for the total score, and 0.69 and 0.70 for the somatic–affective and the cognitive components, respectively (Beck et al., 1996; Ghisi et al., 2006).

The Hamilton Anxiety Rating Scale (HAM-A) was employed to measure anxiety symptoms. It consists of 14 items scored on a five-point Likert scale from 0 (not present) to 4 (severe) (Hamilton, 1959), allowing the detection of psychological symptoms (e.g., anxious and depressed mood, fears, and tension) and somatic symptoms (e.g., cardiovascular, respiratory, or gastrointestinal symptoms). Total scores of 0–13, 14–17, 18–24, and 25–30 indicate minimal, mild, moderate, and severe anxiety, respectively. In the present study, the reliability (Cronbach’s α) of the measure was 0.69 for the total score, and 0.66 and 0.61 for the psychic and the somatic components, respectively (Hamilton, 1959).

The Italian version of the Health Survey Short-Form 36 (SF-36) (Ware and Sherbourne, 1992; Apolone and Mosconi, 1998) was used to measure patients’ perceived HRQoL. SF-36 is a self-report questionnaire comprising eight domains (perceived mental health, emotional role, social functioning, vitality, general health, bodily pain, physical role, and physical functioning). SF-36 total scores range from 0 to 100 points; the lower the scores, the poorer the perceived HRQoL (score of 0 = maximum disability, score of 100 = no disability). SF-36 evaluates patients’ health status by two synthetic indexes, the physical component summary (PCS) and the mental component summary (MCS), which reflect physical and mental well-being, respectively (Ware and Sherbourne, 1992; Apolone and Mosconi, 1998). PCS and MCS values are generally expressed in t scores with a general population mean of 50 and a standard deviation (SD) of 10, with highest values indicating better perceived HRQoL. In the present study, the reliability (Cronbach’s α) of the measure was 0.71 and 0.79 for PCS and MCS, respectively (Ware and Sherbourne, 1992; Apolone and Mosconi, 1998).

Statistical Analysis

Statistical analysis was performed using IBM SPSS, version 25, for Windows. Thyroid autoantibodies and thyroid echotexture were treated as dichotomic variables (positive/negative or altered/normal, respectively). Categorical variables were analyzed by the χ2 test or the Fisher exact test, as appropriate. The independent-samples Mann–Whitney U test was conducted to compare patients with HT versus controls. Spearman ρ was run to examine the correlations between TAS-20 scores and BDI-II, HAM-A, SF-36 PCS, and SF-36 MCS scores, and between these scores and thyroid autoantibodies status and thyroid echotexture in patients with HT. As the multiple comparisons that we run could inflate type I error (false positives), we further considered the effect size [and relative confidence intervals (CIs)] of the observed relationships, using the following cutoffs: r values of 0.1, 0.3, and 0.5 to test the strength of associations (Cohen, 1988). Finally, p < 0.05 was considered significant, whereas p-values between 0.05 and 0.10 were considered borderline significant.

Ethics Statement

The study was approved by the Ethical Committee of the University Hospital “G. Martino,” Messina, Italy, protocol identifying number 80/19, 16/09/2019. This study complies with the 1964 Helsinki Declaration and its later amendments. All participants were adequately informed about the scientific purpose of the study and gave their informed written consent. All data were analyzed anonymously.

Results

Clinical Data

Women outnumbered men both in HT patients and in controls with a greater preponderance in the first group [19/21 (90.5%) vs. 10/16 (62.5%), p = 0.055]. Age and BMI were similar in the two groups (57.6 ± 13.9 vs. 58.8 ± 10.4 years, p = 0.862; and 27.2 ± 5.7 vs. 26.7 ± 4.7 kg/m2, p = 0.946). Finally, most of participants had secondary or higher education level, with no difference between HT patients and controls [16/21 (76.2%) vs. 13/16 (81.2%), p = 0.898].

Biochemical Variables

Serum TSH and FT4 levels did not differ between patients with HT and controls (1.7 ± 1.0 vs. 1.5 ± 0.8 mU/L, P = 0.70; and 15.4 ± 3.9 vs. 15.4 ± 3.9 pmol/L, P = 0.96). Of the 21 patients with HT, 14 (66.7%) were positive for both antibodies (TgAb and TPOAb), six patients (28.6%) were negative for both TgAb and TPOAb, and one patient (4.8%) for only TgAb. All the recruited 21 patients had the typical ultrasound features of HT, namely, a hypoechoic and inhomogeneous thyroid parenchyma, except for three patients who were positive for both antibodies.

Psychological Assessment

Descriptive statistics of the psychological measures for all the 37 participants, as well as for HT and control groups, are shown in Table 1. Regarding alexithymia, 17 patients (46%) scored >60 at TAS-20, thus being alexithymic; 16 patients (43.2%) scored 52–60, thus being possibly alexithymic; and four patients (10.8%) scored <52, thus being non-alexithymic. On average, alexithymia scores were comparable across HT and control groups. All 37 patients (both those with HT and controls) had mild depression (with an overall score between 13 and 19) according to the Italian norms for the BDI-II (Table 1; Ghisi et al., 2006). In contrast, overall anxiety levels were from moderate to severe, as the mean HAM-A score was >17 for HT group and >24 for controls (Table 1). Concerning HRQoL, compared to the Italian norm (50 ± 10) (Apolone and Mosconi, 1998), MCS (33.8 ± 12.4) and PCS (42.4 ± 11.3) scores were generally lower, with a mean difference greater than 1 SD in MCS.

TABLE 1
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Table 1. Descriptive statistics (scores) of the psychological measures studied (N = 37).

TAS-20 did not correlate with the other scores in patients with HT, except for DDF, which correlated negatively and moderately with the cognitive component of BDI-II [r = -0.46, p < 0.05, 95% CI (-0.03, -0.74)] (Table 2).

TABLE 2
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Table 2. Correlations between alexithymia and depression, anxiety, and perceived health-related QoL measures in patients with HT (n = 21).

In patients with HT, thyroid autoantibodies status was associated with anxiety levels. Indeed, TgAb negativity correlated with lower somatic anxiety levels (U = 15.50, p = 0.013, r = -0.68) (Table 3). As expected, TgAb-positive patients had higher scores of the somatic component of HAM-A compared with TgAb-negative patients (median = 12.5 vs. 7). A negative relationship was also found between TPOAb positivity and somatic anxiety levels (U = 18.50, p = 0.042, r = -0.59) (Table 4), with TPOAb-positive patients having higher somatic HAM-A score than their negative counterparts (median = 12.0 vs. 8.0). Finally, the typical thyroid echotexture of HT was not associated with any of the psychometric tests (Table 5).

TABLE 3
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Table 3. Associations between TgAb and psychological measures in patients with HT (n = 21).

TABLE 4
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Table 4. Associations between TPOAb and psychological measures in patients with HT (n = 21).

TABLE 5
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Table 5. Associations between the echotexture of the thyroid and psychological measures in patients with HT (n = 21).

No significant difference was found in scores obtained from the psychodiagnostic evaluation between patients with HT and controls (Table 6).

TABLE 6
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Table 6. Differences between patients with HT and controls concerning the psychological measures (n = 37).

Discussion

Although autoimmune thyroid diseases are considered risk factors for both depression and anxiety (Bauer et al., 2001; Grabe et al., 2005; Bell et al., 2007; Samuels, 2008; Bathla et al., 2016; Rieben et al., 2016), the relationship between autoimmune and non-autoimmune thyroid diseases and alexithymia has been poorly studied so far (Ivanova and Gorobets, 2011; Le Donne et al., 2012; Hasegawa et al., 2019).

In our study, we found an overall prevalence of frank or possible alexithymia in 89.2% of cases, supporting the hypothesis that patients with HT and controls (patients with thyroid diseases in general) may be affected by difficulty in identifying and describing feelings to a significant extent, thus focusing on external events rather than on inner experiences (Hasegawa et al., 2019). Mean BDI-II, HAM-A, and SF-36 scores revealed mild depression, severe anxiety, and lower mental HRQoL compared to the normative Italian samples. By and large, a significant degree of psychological suffering accompanied by the perception of lacking personal resources to face emotional challenges has emerged in patients with thyroid diseases (Bianchi et al., 2004; Dayan and Panicker, 2013). From such a perspective, the overwhelming emotions related to chronic disease may threaten/affect integration, thus becoming undifferentiated and unmodulated (Luminet et al., 2018). This hypothesis is supported by the negative association between the difficulty in describing feelings and depression, especially the cognitive component, found in HT patients. Therefore, the impaired emotional competence may have a role in elaborating on illness experience and managing thyroid diseases, as also found in previous studies about other chronic conditions, such as type 2 diabetes, inflammatory bowel diseases, and psoriasis (Porcelli et al., 1996; Pollatos et al., 2011; Avci and Kelleci, 2016; Talamonti et al., 2016; Amiri and Behnezhad, 2019; Martino et al., 2019a,c). However, the negative association between the difficulty in describing feelings and depression seems apparently counterintuitive as previous research has demonstrated that higher alexithymia makes patients more vulnerable to experience depression (Hemming et al., 2019). Indeed, as shown in the current study, the less patients with HT are able to express their emotions, the less they experience cognitive depressive symptoms. This association may suggest a possible underreporting of depression (which is mainly expressed through physical complaints) in patients with HT, who could live with unrecognized feelings of pessimism, guilt, or self-dislike, as their levels of depression could be emotionally denied. From a psychodynamic perspective, their difficulty in emotion recognition and processing may be a defensive response aimed at preventing painful experiences of grief and loss, with consequent impaired psychological mourning elaboration (Caputo, 2013, 2019; Shahar and Lerman, 2013; Marchini et al., 2018). Indeed, poor symbolic and emotional capacity has been found to positively correlate with maladaptive and less mature defense mechanisms, which could suppress negative emotions as an unconscious ego’s function to protect the self (Marchini et al., 2020).

Another interesting finding was the positive correlation between somatic anxiety and thyroid autoantibodies status in patients with HT, assessed through TgAb and TPOAb levels that provide serological evidence of autoimmune thyroiditis. This appears in line with a previous study showing that thyroid autoimmunity may be a high risk factor for anxiety disorders, as psychopathological disturbances and the autoimmune reaction are hypothesized to be rooted in the same aberrancy in the immunoendocrine system (Carta et al., 2004). From a psychosomatic perspective, residual symptoms despite replacement therapy with levothyroxine in patients with HT might result from somatization in response to physical and psychological stressors (Mizokami et al., 2004; Moncayo and Moncayo, 2014). Indeed, stress is considered as one of the environmental factors potentially affecting immune system directly and indirectly through the nervous and endocrine systems, respectively. Therefore, anxiety experienced at a somatic level can induce immune modulations, in turn contributing to trigger or worsen autoimmune disease, especially in genetically predisposed individuals (Mizokami et al., 2004; Moncayo and Moncayo, 2014).

Finally, no significant difference was found between patients with HT and controls in all the assessed psychological factors (alexithymia, depression, anxiety, and HRQoL). In this regard, we should hypothesize that the small size of both groups may have prevented to reach statistical significance. Another limitation of the present pilot study is its cross-sectional design, which can limit generalizability of our findings. Consequently, no causal relationships can be inferred about the found association between the participants’ psychological status and thyroid autoantibodies. Finally, the use of self-report measures could represent another limitation, despite the gold-standard clinical psychological interview, which conferred a specific objectivity to the performed surveys.

Future larger, longitudinal studies could provide more robust evidence, which is what we aim at performing in perspective research, considering also variables such as disease duration and thyroid-specific HRQoL questionnaires in order to provide more accurate disease-specific information (Watt et al., 2009, 2014, 2015; Wong et al., 2016, 2018). As well, further empirical investigation is needed linking the construct of alexithymia to the construct of defense mechanisms, given the salience of emotion regulation as underlying both such psychological factors, thus contributing to plan and deliver tailored interventions (Lingiardi et al., 2010) in the context of chronic diseases.

Conclusion

Our study shows that the majority of patients with thyroid diseases—including both those with HT and controls—are alexithymic or potentially alexithymic and that patients with HT may harbor a possible underreporting of depression. Hence, potential benefits may derive from clinical psychological interventions in these patients. Promoting the capability to describe and communicate feelings could contribute to psychological elaboration and coping with thyroid diseases and, consequently, to the improvement of self-management and perceived HRQoL.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The study was approved by the Ethical Committee of the University Hospital “G. Martino,” Messina, Italy, protocol identifying number 80/19, 16/09/2019. This study complies with the 1964 Helsinki Declaration and its later amendments. All participants were adequately informed about the scientific purpose of the study and gave their informed written consent. All data were analyzed anonymously.

Author Contributions

GM made significant contributions to the design of the research study, drafting of the manuscript, interpretation of the data, and revision of the manuscript. AC performed the statistical analysis, provided the interpretation of data, and gave significant contribution to the draft part of the manuscript. CV, UF-R, and TW provided substantial contribution in the drafting part of the manuscript and revised it critically. MQ and SB critically revised the manuscript. RV provided significant contribution in participants’ recruitment, drafting part, and revision of the manuscript. All authors gave their final approval of the manuscript to be submitted.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Aimé, A., Fuller-Tyszkiewicz, M., Dion, J., Markey, C. H., Strodl, E., McCabe, M., et al. (2020). Assessing positive body image, body satisfaction, weight bias, and appearance comparison in emerging adults: a cross-validation study across eight countries. Body Image 35, 320–332. doi: 10.1016/j.bodyim.2020.09.014

PubMed Abstract | CrossRef Full Text | Google Scholar

American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5®). Washington, DC: American Psychiatric Pub.

Google Scholar

Amiri, S., and Behnezhad, S. (2019). Diabetes and anxiety symptoms: a systematic review and meta-analysis. Intern. J. Psychiatry Med. 1–14. doi: 10.1177/0091217419837407

PubMed Abstract | CrossRef Full Text | Google Scholar

Apolone, G., and Mosconi, P. (1998). The Italian SF-36 Health Survey: translation, validation and norming. J. Clin. Epidemiol. 51, 1025–1036.

Google Scholar

Avci, D., and Kelleci, M. (2016). Alexithymia in patients with type 2 diabetes mellitus: the role of anxiety, depression, and glycemic control. Pat. Prefer. Adher. 10, 1271–1277.

Google Scholar

Bathla, M., Singh, M., and Relan, P. (2016). Prevalence of anxiety and depressive symptoms among patients with hypothyroidism. Indian J. Endocrinol. Metab. 20, 468–474.

Google Scholar

Bauer, M., Priebe, S., Berghöfer, A., Bschor, T., Kiesslinger, U., and Whybrow, P. C. (2001). Subjective response to and tolerability of long-term supraphysiological doses of levothyroxine in refractory mood disorders. J. Affect. Disord. 64, 35–42. doi: 10.1016/S0165-0327(00)00215-9

CrossRef Full Text | Google Scholar

Beck, A. T., Steer, R. A., and Brown, G. K. (1996). Manual for the Beck Depression Inventory-II. San Antonio, TX: Psychological Corporation.

Google Scholar

Bell, R. J., Rivera-Woll, L., Davison, S. L., Topliss, D. J., Donath, S., and Davis, S. R. (2007). Well-being, health-related quality of life and cardiovascular disease risk profile in women with subclinical thyroid disease - a community-based study. Clin. Endocrinol. 66, 548–556. doi: 10.1111/j.1365-2265.2007.02771.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Benvenga, S., and Trimarchi, F. (2008). Changed presentation of Hashimoto’s thyroiditis in North-Eastern Sicily and Calabria (Southern Italy) based on a 31-year experience. Thyroid 18, 429–441. doi: 10.1089/thy.2007.0234

PubMed Abstract | CrossRef Full Text | Google Scholar

Bianchi, G. P., Zaccheroni, V., Solaroli, E., Vescini, F., Cerutti, R., Zoli, M., et al. (2004). Health-related quality of life in patients with thyroid disorders. Q. Life Res. 13, 45–54. doi: 10.1023/B:QURE.0000015315.35184.66

CrossRef Full Text | Google Scholar

Boesen, V. B., Feldt-Rasmussen, U., Bjorner, J. B., Cramon, P., Groenvold, M., Nygaard, B., et al. (2018a). How should thyroid-related quality of life be assessed? Recalled patient-reported outcomes compared to here-and-now measures. Thyroid 28, 1561–1570. doi: 10.1089/thy.2018.0210

PubMed Abstract | CrossRef Full Text | Google Scholar

Boesen, V. B., Nissen, S. B., Groenvold, M., Bjorner, J. B., Hegedüs, L., Bonnema, S. J., et al. (2018b). Conversion of standard retrospective patient-reported outcomes to momentary versions: cognitive interviewing reveals varying degrees of momentary compatibility. Q. Life Res. 27, 1065–1076. doi: 10.1007/s11136-017-1762-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Bressi, C., Taylor, G., Parker, J., Bressi, S., Brambilla, V., Aguglia, E., et al. (1996). Cross validation of the factor structure of the 20-item Toronto Alexithymia Scale: an Italian multicenter study. J. Psychosom. Res. 41, 551–559. doi: 10.1016/S0022-3999(96)00228-0

CrossRef Full Text | Google Scholar

Broniarczyk-Czarniak, M. (2017). Zaburzenia psychiczne współistniejące z chorobą Hashimoto—przegląd piśmiennictwa [The prevalence of psychiatric disorders in patients with Hashimoto’s thyroiditis: a literature review]. Psychiatria 14, 209–216.

Google Scholar

Caputo, A. (2013). Health demand in primary care context: what do people think about physicians? Psychol. Health Med. 18, 145–154. doi: 10.1080/13548506.2012.687828

PubMed Abstract | CrossRef Full Text | Google Scholar

Caputo, A. (2014). Exploring quality of life in Italian patients with rare disease: a computer-aided content analysis of illness stories. Psychol. Health Med. 19, 211–221. doi: 10.1080/13548506.2013.793372

PubMed Abstract | CrossRef Full Text | Google Scholar

Caputo, A. (2015). Trends of psychology-related research on euthanasia: a qualitative software-based thematic analysis of journal abstracts. Psychol. Health Med. 20, 858–869. doi: 10.1080/13548506.2014.993405

PubMed Abstract | CrossRef Full Text | Google Scholar

Caputo, A. (2019). Psychodynamic insights from narratives of people with amyotrophic lateral sclerosis: a qualitative phenomenological study. Mediterran. J. Clin. Psychol. 7:2009. doi: 10.6092/2282-1619/2019.7.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

Carr-Hill, R. A. (1992). Health related quality of life measurement—Euro style. Health Policy 20, 321–328. doi: 10.1016/0168-8510(92)90164-7

CrossRef Full Text | Google Scholar

Carta, M. G., Loviselli, A., Hardoy, M. C., Massa, S., Cadeddu, M., Sardu, C., et al. (2004). The link between thyroid autoimmunity (antithyroid peroxidase autoantibodies) with anxiety and mood disorders in the community: a field of interest for public health in the future. BMC Psychiatry 4:25. doi: 10.1186/1471-244X-4-25

PubMed Abstract | CrossRef Full Text | Google Scholar

Castelli, L., Tesio, V., Colonna, F., Molinaro, S., Leombruni, P., Bruzzone, M., et al. (2012). Alexithymia and psychological distress in fibromyalgia: prevalence and relation with quality of life. Clin. Exp. Rheumatol. 30(6 Suppl. 74), 70–77.

Google Scholar

Castelnuovo, G., Pietrabissa, G., Manzoni, G. M., Corti, S., Ceccarini, M., Borrello, M., et al. (2015). Chronic care management of globesity: promoting healthier lifestyles in traditional and mHealth based settings. Front. Psychol. 6:1557. doi: 10.3389/fpsyg.2015.01557

PubMed Abstract | CrossRef Full Text | Google Scholar

Catalano, A., Martino, G., Bellone, F., Gaudio, A., Lasco, C., Langher, V., et al. (2018). Anxiety levels predict fracture risk in postmenopausal women assessed for osteoporosis. Menopause 25, 1110–1115. doi: 10.1097/GME.0000000000001123

PubMed Abstract | CrossRef Full Text | Google Scholar

Catalano, A., Martino, G., Bellone, F., Papalia, M., Lasco, C., Basile, G., et al. (2019). Neuropsychological assessment in elderly men with benign prostatic hyperplasia treated with dutasteride. Clin. Drug Invest. 39, 97–102. doi: 10.1007/s40261-018-0720-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Catalano, A., Martino, G., Morabito, N., Scarcella, C., Gaudio, A., Basile, G., et al. (2017). Pain in osteoporosis: from pathophysiology to therapeutic approach. Drugs Aging 34, 755–765. doi: 10.1007/s40266-017-0492-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Catalano, A., Sardella, A., Bellone, F., Lasco, C. G., Martino, G., and Morabito, N. (2020). Executive functions predict fracture risk in postmenopausal women assessed for osteoporosis. Aging Clin. Exper. Res. 32, 2251–2257. doi: 10.1007/s40520-019-01426-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Cicero, G., De Luca, R., Dorangricchia, P., Coco, G. L., Guarnaccia, C., Fanale, D., et al. (2017). Risk perception and psychological distress in genetic counselling for hereditary breast and/or ovarian cancer. J. Genet. Counsel. 26, 999–1007. doi: 10.1007/s10897-017-0072-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, 2nd Edn, Hillsdale, NJ: Lawrence Erlbaum.

Google Scholar

Conversano, C. (2019). Psychological common factors in chronic diseases. Front. Psychol. 10:2727. doi: 10.3389/fpsyg.2019.02727

PubMed Abstract | CrossRef Full Text | Google Scholar

Conversano, C., and Di Giuseppe, M. (2021). Psychological factors as determinants of chronic conditions: clinical and psychodynamic advances. Front. Psychol. 12:635708. doi: 10.3389/fpstg.2021.635708

CrossRef Full Text | Google Scholar

Conversano, C., Di Giuseppe, M., Miccoli, M., Ciacchini, R., Di Silvestre, A., Lo Sterzo, R., et al. (2020). Retrospective analyses of psychological distress and defense style among cancer patients. Clin. Neuropsychiatry 17, 217–224. doi: 10.36131/cnfioritieditore20200403

CrossRef Full Text | Google Scholar

Cooper, D. S., and Biondi, B. (2012). Subclinical thyroid disease. Lancet 379, 1142–1154. doi: 10.1016/S0140-6736(11)60276-6

CrossRef Full Text | Google Scholar

Craparo, G., Gori, A., Dell’Aera, S., Costanzo, G., Fasciano, S., Tomasello, A., et al. (2016). Impaired emotion recognition is linked to alexithymia in heroin addicts. PeerJ 4:e1864. doi: 10.7717/peerj.1864

PubMed Abstract | CrossRef Full Text | Google Scholar

Crisanti, P., Omri, B., Hughes, E. J., Meduri, G., Hery, C., Clauser, E., et al. (2001). The expression of thyrotropin receptor in the brain. Endocrinology 142, 812–822. doi: 10.1210/endo.142.2.7943

PubMed Abstract | CrossRef Full Text | Google Scholar

Dayan, C. M., and Panicker, V. (2013). Hypothyroidism and depression. Eur. Thyroid J. 2, 168–179. doi: 10.1159/000353777

PubMed Abstract | CrossRef Full Text | Google Scholar

Di Giuseppe, M., Di Silvestre, A., Lo Sterzo, R., Hitchcott, P., Gemignani, A., and Conversano, C. (2019). Qualitative and quantitative analysis of the defensive profile in breast cancer women: a pilot study. Health Psychol. Open 6:20. doi: 10.1177/2055102919854667

PubMed Abstract | CrossRef Full Text | Google Scholar

Di Giuseppe, M., Perry, J. C., Petraglia, J., Janzen, J., and Lingiardi, V. (2014). Development of a Q-sort version of the defense mechanisms rating scales (DMRS-Q) for clinical use. J. Clin. Psychol. 70, 452–465. doi: 10.1002/jclp.22089

PubMed Abstract | CrossRef Full Text | Google Scholar

Fava, G. A., Tomba, E., and Sonino, N. (2012). Clinimetrics: the science of clinical measurements. Intern. J. Clin. Pract. 66, 11–15. doi: 10.1111/j.1742-1241.2011.02825.x

PubMed Abstract | CrossRef Full Text | Google Scholar

First, M. B., Williams, J. B., Karg, R. S., and Spitzer, R. L. (2015). Structured Clinical Interview for DSM-5 Disorders. Washington, DC: American Psychiatric Publishing.

Google Scholar

Gangemi, A., Caprì, T., Fabio, R. A., Puggioni, P., Falzone, A. M., and Martino, G. (2018). Transcranial direct current stimulation (tdcs) and cognitive empowerment for the functional recovery of diseases with chronic impairment and genetic etiopathogenesis. Adv. Genet. Res. 18, 179–196.

Google Scholar

Ghisi, M., Flebus, G. B., Montano, A., Sanavio, E., and Sica, C. (2006). “L’adattamento italiano del BDI-II [Italian adaptation of BDI-II],” in Beck Depression Inventory-II, eds A. T. Beck, R. A. Steer, and G. K. Brown (Firenze: Organizzazioni Speciali).

Google Scholar

Goldbacher, E. M., and Matthews, K. A. (2007). Are psychological characteristics related to risk of the metabolic syndrome? A review of the literature. Ann. Behav. Med. 34, 240–252.

Google Scholar

Grabe, H. J., Völzke, H., Lüdemann, J., Wolff, B., Schwahn, C., John, U., et al. (2005). Mental and physical complaints in thyroid disorders in the general population. Acta Psychiatr. Scand. 112, 286–293. doi: 10.1111/j.1600-0447.2005.00586.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Gugliandolo, M. C., Costa, S., Cuzzocrea, F., Larcan, R., and Martino, G. (2020). Adolescents and body uneasiness: the contribution of supportive parenting and trait emotional intelligence. J. Child Fam. Stud. 29, 2453–2462. doi: 10.1007/s10826-020-01779-1

CrossRef Full Text | Google Scholar

Hamilton, M. A. X. (1959). The assessment of anxiety states by rating. Br. J. Med. Psychol. 32, 50–55. doi: 10.1111/j.2044-8341.1959.tb00467.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Hasegawa, C., Kawai, T., Tanaka, M., and Fukao, A. (2019). Psychological characteristics of surgical patients with thyroid disease. Psychologia 60, 217–232. doi: 10.2117/psysoc.2019-B006

CrossRef Full Text | Google Scholar

Haugen, B. R., Alexander, E. K., Bible, K. C., Doherty, G. M., Mandel, S. J., Nikiforov, Y. E., et al. (2016). 2015 American Thyroid Association management guidelines for adult patients with thyroid nodules and differentiated thyroid cancer: the American Thyroid Association guidelines task force on thyroid nodules and differentiated thyroid cancer. Thyroid 26, 1–133. doi: 10.1089/thy.2015.0020

PubMed Abstract | CrossRef Full Text | Google Scholar

Hemming, L., Haddock, G., Shaw, J., and Pratt, D. (2019). Alexithymia and its associations with depression, suicidality and aggression: an overview of the literature. Front. Psychiatry 10:203. doi: 10.3389/fpsyt.2019.00203

PubMed Abstract | CrossRef Full Text | Google Scholar

Ivanova, G. P., and Gorobets, L. N. (2011). Psychological aspects of systemic approach to diagnostics of mental and immunological disorders in diffuse-nodular form of Hashimoto’s thyroiditis. Zh. Nevrol. Psikhiatr. Im. S. S. Korsakova 111(11 Pt 1), 10–16.

Google Scholar

Kelly, R. R., McDonald, L. T., Jensen, N. R., Sidles, S. J., and LaRue, A. C. (2019). Impacts of psychological stress on osteoporosis: clinical implications and treatment Interactions. Front. Psychiatry 10:200. doi: 10.3389/fpsyt.2019.00200

PubMed Abstract | CrossRef Full Text | Google Scholar

Le Donne, M., Settineri, S., and Benvenga, S. (2012). Early pospartum alexithymia and risk for depression: relationship with serum thyrotropin, free thyroid hormones and thyroid autoantibodies. Psychoneuroendocrinology 37, 519–533. doi: 10.1016/j.psyneuen.2011.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Lenzo, V., Sardella, A., Martino, G., and Quattropani, M. C. (2020). A systematic review of metacognitive beliefs in chronic medical conditions. Front. Psychol. 10:2875. doi: 10.3389/fpsyg.2019.02875

PubMed Abstract | CrossRef Full Text | Google Scholar

Lingiardi, V., Gazzillo, F., Colli, A., De Bei, F., Tanzilli, A., Di Giuseppe, M., et al. (2010). Diagnosis and assessment of personality, therapeutic alliance and clinical exchange in psychotherapy research. Res. Psychother. 2, 97–124.

Google Scholar

Luminet, O., Bagby, R. M., and Taylor, G. J. (eds) (2018). Alexithymia: Advances in Research, Theory, and Clinical Practice. Cambridge: Cambridge University Press.

Google Scholar

Lumley, M. A., Neely, L. C., and Burger, A. J. (2007). The assessment of alexithymia in medical settings: implications for understanding and treating health problems. J. Pers. Assess. 89, 230–246. doi: 10.1080/00223890701629698

PubMed Abstract | CrossRef Full Text | Google Scholar

Lumley, M. A., Stettner, L., and Wehmer, F. (1996). How are alexithymia and physical illness linked? A review and critique of pathways. J. Psychosom. Res. 41, 505–518. doi: 10.1016/S0022-3999(96)00222-X

CrossRef Full Text | Google Scholar

Marchi, L., Marzetti, F., Orrù, G., Lemmetti, S., Miccoli, M., Ciacchini, R., et al. (2019). Alexithymia and psychological distress in patients with fibromyalgia and rheumatic disease. Front. Psychol. 10:1735. doi: 10.3389/fpsyg.2019.01735

PubMed Abstract | CrossRef Full Text | Google Scholar

Marchini, F., Caputo, A., Balonan, J. T., Fedele, F., Langher, V., and Napoli, A. (2020). Emotional dynamics of persons with Type 2 diabetes and their potential role in treatment adherence: insights from a clinical psychodynamic perspective. Psychol. Hub. 37, 23–30. doi: 10.13133/2724-2943/17160

CrossRef Full Text | Google Scholar

Marchini, F., Caputo, A., Napoli, A., Balonan, J. T., Martino, G., Nannini, V., et al. (2018). Chronic illness as loss of good self: underlying mechanisms affecting diabetes adaptation. Mediterranean J. Clin. Psychol. 6:1981. doi: 10.6092/2282-1619/2018.6.1981

PubMed Abstract | CrossRef Full Text | Google Scholar

Martino, G., Bellone, F., Langher, V., Caputo, A., Catalano, A., Quattropani, M. C., et al. (2019a). Alexithymia and psychological distress affect perceived quality of life in patients with type 2 diabetes mellitus. Mediterranean J. Clin. Psychol. 7:2328. doi: 10.6092/2282-1619/2019.7.2328

PubMed Abstract | CrossRef Full Text | Google Scholar

Martino, G., Catalano, A., Bellone, F., Russo, G. T., Vicario, C. M., Lasco, A., et al. (2019b). As time goes by: anxiety negatively affects the perceived quality of life in patients with Type 2 diabetes of long duration. Front. Psychol. 10:1779. doi: 10.3389/fpsyg.2019.01779

PubMed Abstract | CrossRef Full Text | Google Scholar

Martino, G., Langher, V., Cazzato, V., and Vicario, C. M. (2019c). Psychological factors as determinants of medical conditions. Front. Psychol. 10:2502. doi: 10.3389/fpsyg.2019.02502/full

CrossRef Full Text | Google Scholar

Martino, G., Sardella, A., Bellone, F., Lasco, C., Langher, V., Cazzato, V., et al. (2019d). Executive functions and bone health: a focus on cognitive impulsivity and bone mineral density. Mediterranean J. Clin. Psychol. 11, 706–713. doi: 10.6092/2282-1619/2019.7.2167

PubMed Abstract | CrossRef Full Text | Google Scholar

Martino, G., Caputo, A., Bellone, F., Quattropani, M. C., and Vicario, C. M. (2020a). Going beyond the visible in Type 2 diabetes mellitus: defense mechanisms and their associations with depression and health-related quality of life. Front. Psychol. 11:267. doi: 10.3389/fpsyg.2020.00267

PubMed Abstract | CrossRef Full Text | Google Scholar

Martino, G., Caputo, A., Schwarz, P., Bellone, F., Fries, W., Quattropani, M. C., et al. (2020b). Alexithymia and inflammatory bowel disease: a systematic review. Front. Psychol. 11:1763. doi: 10.3389/fpsyg.2020.01763

PubMed Abstract | CrossRef Full Text | Google Scholar

Martino, G., Caputo, A., Vicario, C. M., Catalano, A., Schwarz, P., and Quattropani, M. C. (2020c). The relationship between alexithymia and type 2 diabetes: a systematic review. Front. Psychol. 11:2026. doi: 10.3389/fpsyg.2020.02026

PubMed Abstract | CrossRef Full Text | Google Scholar

Martino, G., Catalano, A., Agostino, R. M., Bellone, F., Morabito, N., Lasco, C. G., et al. (2020d). Quality of life and psychological functioning in postmenopausal women undergoing aromatase inhibitor treatment for early breast cancer. PLoS One 15:e0230681. doi: 10.1371/journal.pone.0230681

PubMed Abstract | CrossRef Full Text | Google Scholar

Martino, G., Catalano, A., Bellone, F., Langher, V., Lasco, C., Penna, A., et al. (2018a). Quality of life in postmenopausal women: which role for D? Mediterranean J. Clin. Psychol. 6, 1–14. doi: 10.6092/2282-1619/2018.6.1875

PubMed Abstract | CrossRef Full Text | Google Scholar

Martino, G., Catalano, A., Bellone, F., Sardella, A., Lasco, C., Caprì, T., et al. (2018b). Vitamin D status is associated with anxiety levels in postmenopausal women evaluated for osteoporosis. Mediterranean J. Clin. Psychol. 6, 1–16. doi: 10.6092/2282-1619/2018.6.1740

PubMed Abstract | CrossRef Full Text | Google Scholar

Mazaheri, M., Afshar, H., Weinland, S., Mohammadi, N., and Adibi, P. (2012). Alexithymia and functional gastrointestinal disorders (FGID). Med. Arh. 66, 28–32. doi: 10.5455/medarh.2012.66.28-32

PubMed Abstract | CrossRef Full Text | Google Scholar

Merlo, E. M. (2019). Opinion article: The role of psychological features in chronic diseases, advances and perspectives. Mediterranean J. Clin. Psychol. 7, 1–6.

Google Scholar

Mizokami, T., Wu, L. A., El-Kaissi, S., and Wall, J. R. (2004). Stress and thyroid autoimmunity. Thyroid 14, 1047–1055. doi: 10.1089/thy.2004.14.1047

PubMed Abstract | CrossRef Full Text | Google Scholar

Moncayo, R., and Moncayo, H. (2014). Exploring the aspect of psychosomatics in hypothyroidism: the WOMED model of body-mind interactions based on musculoskeletal changes, psychological stressors, and low levels of magnesium. Woman Psychosom. Gynaecol. Obstetr. 1, 1–11. doi: 10.1016/j.woman.2014.02.001

CrossRef Full Text | Google Scholar

Montagna, G., Imperiali, M., Agazzi, P., D’Aurizio, F., Tozzoli, R., Feldt-Rasmussen, U., et al. (2016). Hashimoto’s encephalopathy: a rare proteiform disorder. Autoimmun. Rev. 15, 466–476. doi: 10.1016/j.autrev.2016.01.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Nexo, M. A., Watt, T., Pedersen, J., Bonnema, S. J., Hegedüs, L., Rasmussen, A. K., et al. (2014). Increased risk of long-term sickness absence, lower rate of return to work, and higher risk of unemployment and disability pensioning for thyroid patients: a Danish register-based cohort study. J. Clin. Endocrinol. Metab. 99, 3184–3192. doi: 10.1210/jc.2013-4468

PubMed Abstract | CrossRef Full Text | Google Scholar

Patron, E., Benvenuti, S. M., Lopriore, V., Aratari, J., and Palomba, D. (2017). Somatic-affective, but not cognitive-depressive symptoms are associated with reduced health-related quality of life in patients with congestive heart failure. Psychosomatics 58, 281–291. doi: 10.1016/j.psym.2017.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Perry, J. C., Metzger, J., and Sigal, J. J. (2015). Defensive functioning among women with breast cancer and matched community controls. Psychiatry 78, 156–169. doi: 10.1080/00332747.2015.1051445

PubMed Abstract | CrossRef Full Text | Google Scholar

Pollatos, O., Werner, N. S., Duschek, S., Schandry, R., Matthias, E., Traut-Mattausch, E., et al. (2011). Differential effects of alexithymia subscales on autonomic reactivity and anxiety during social stress. J. Psychosom. Res. 70, 525–533. doi: 10.1016/j.jpsychores.2010.12.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Porcelli, P., Leoci, C., Guerra, V., Taylor, G. J., and Bagby, R. M. (1996). A longitudinal study of alexithymia and psychological distress in inflammatory bowel disease. J. Psychosom. Res. 41, 569–573. doi: 10.1016/S0022-3999(96)00221-8

CrossRef Full Text | Google Scholar

Prout, T. A., Zilcha-Mano, S., Aafjes-van Doorn, K., Békés, V., Christman-Cohen, I., Whistler, K., et al. (2020). Identifying predictors of psychological distress during COVID-19: A machine learning approach. Front. Psychol. 11:586202. doi: 10.3389/fpsyt.2020.586202

CrossRef Full Text | Google Scholar

Quattropani, M. C., Lenzo, V., Filastro, A., and Fries, W. (2019). Metacognitions and basic emotions in patients with irritable bowel syndrome and inflammatory bowel disease. Psicoterap. Cogn. Comportament. 25, 35–51.

Google Scholar

Rafanelli, C., Roncuzzi, R., Finos, L., Tossani, E., Tomba, E., Mangelli, L., et al. (2003). Psychological assessment in cardiac rehabilitation. Psychother. Psychosom. 72, 343–349. doi: 10.1159/000073031

PubMed Abstract | CrossRef Full Text | Google Scholar

Rieben, C., Segna, D., da Costa, B. R., Collet, T. H., Chaker, L., Aubert, C. E., et al. (2016). Subclinical thyroid dysfunction and the risk of cognitive decline: a meta-analysis of prospective cohort studies. J. Clin. Endocrinol. Metab. 101, 4945–4954. doi: 10.1210/jc.2016-2129

PubMed Abstract | CrossRef Full Text | Google Scholar

Rosa, V., Tomai, M., Lauriola, M., Martino, G., and Di Trani, M. (2019). Body mass index, personality traits, and body image in Italian pre-adolescents: an opportunity for overweight prevention. Psihologija 52, 379–393. doi: 10.2298/PSI181121009R

CrossRef Full Text | Google Scholar

Samuels, M. H. (2008). Cognitive function in untreated hypothyroidism and hyperthyroidism. Curr. Opin. Endocrinol. Diabetes Obes. 15, 429–433. doi: 10.1097/MED.0b013e32830eb84c

PubMed Abstract | CrossRef Full Text | Google Scholar

Settineri, S., Frisone, F., Merlo, E. M., Geraci, D., and Martino, G. (2019). Compliance, adherence, concordance, empowerment, and self-management: five words to manifest a relational maladjustment in diabetes. J. Multidiscipl. Healthc. 12, 299–314. doi: 10.2147/JMDH.S193752

PubMed Abstract | CrossRef Full Text | Google Scholar

Shahar, G., and Lerman, S. F. (2013). The personification of chronic physical illness: Its role in adjustment and implications for psychotherapy integration. J. Psychother. Integrat. 23, 49–58. doi: 10.1037/a0030272

CrossRef Full Text | Google Scholar

Talamonti, M., Galluzzo, M., Servoli, S., D’Adamio, S., and Bianchi, L. (2016). Alexithymia and plaque psoriasis: preliminary investigation in a clinical sample of 250 patients. Dermatology 232, 648–654. doi: 10.1159/000453661

PubMed Abstract | CrossRef Full Text | Google Scholar

Taylor, G. J. (2000). Recent developments in alexithymia theory and research. Can. J. Psychiatry 45, 134–142. doi: 10.1177/070674370004500203

PubMed Abstract | CrossRef Full Text | Google Scholar

Taylor, G. J., Bagby, R. M., and Parker, J. D. (1999). Disorders of Affect Regulation: Alexithymia in Medical and Psychiatric Illness. Cambridge: Cambridge University Press.

Google Scholar

Taylor, G. J., Bagby, R. M., and Parker, J. D. (2003). The 20-Item Toronto Alexithymia Scale: IV. Reliability and factorial validity in different languages and cultures. J. Psychosom. Res. 55, 277–283. doi: 10.1016/S0022-3999(02)00601-3

CrossRef Full Text | Google Scholar

Tesio, V., Di Tella, M., Ghiggia, A., Romeo, A., Colonna, F., Fusaro, E., et al. (2018). Alexithymia and depression affect quality of life in patients with chronic pain: a study on 205 patients with fibromyalgia. Front. Psychol. 9:442. doi: 10.3389/fpsyg.2018.00442

PubMed Abstract | CrossRef Full Text | Google Scholar

Tomai, M., Lauriola, M., and Caputo, A. (2018). Are social support and coping styles differently associated with adjustment to cancer in early and advanced stages? Mediterranean J. Clin. Psychol. 7, 1–24. doi: 10.6092/2282-1619/2019.7.19831981

PubMed Abstract | CrossRef Full Text | Google Scholar

Tomaro, E. S., Pippi, R., Reginato, E., Aiello, C., Buratta, L., Mazzeschi, C., et al. (2017). Intensive lifestyle intervention is particularly advantageous in poorly controlled type 2 diabetes. Nutrit. Metab. Cardiovasc. Dis. 27, 688–694. doi: 10.1016/j.numecd.2017.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Torrado, M., Eusébio, S., and Ouakinin, S. (2018). Alexithymia and Illness: Towards a Psychosomatic Perspective of Emotion Regulation Deficits. New York, NY: Nova Science Publishers.

Google Scholar

Van Houtum, L., Rijken, M., and Groenewegen, P. (2015). Do everyday problems of people with chronic illness interfere with their disease management? BMC Public Health 15:1000. doi: 10.1186/s12889-015-2303-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Vicario, C. M., Salehinejad, M. A., Felmingham, K., Martino, G., and Nitsche, M. A. (2019). A systematic review on the therapeutic effectiveness of non-invasive brain stimulation for the treatment of anxiety disorders. Neurosci. Biobehav. Rev. 96, 219–231. doi: 10.1016/j.neubiorev.2018.12.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Vita, R., Caputo, A., Quattropani, M. C., Watt, T., Feldt-Rasmussen, U., Puleio, P., et al. (2020). Quality of life in patients with hyperthyroidism: where do we stand? Mediterranean J. Clin. Psychol. 8, 1–28. doi: 10.6092/2282-1619/2019.7.2328

PubMed Abstract | CrossRef Full Text | Google Scholar

Vita, R., Mazzi, V., Antonelli, A., and Benvenga, S. (2013). Antithyroid medications and psychosis. Expert Opin. Drug Saf. 12, 865–872. doi: 10.1517/14740338.2013.823397

PubMed Abstract | CrossRef Full Text | Google Scholar

Ware, J. E., and Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36): I. conceptual framework and item selection. Med. Care 30, 473–483. doi: 10.1097/00005650-199206000-00002

CrossRef Full Text | Google Scholar

Watt, T., Bjorner, J. B., Groenvold, M., Cramon, P., Winther, K. H., Hegedüs, L., et al. (2015). Development of a short version of the thyroid-related patient-reported outcome ThyPRO. Thyroid 25, 1069–1079. doi: 10.1089/thy.2015.0209

PubMed Abstract | CrossRef Full Text | Google Scholar

Watt, T., Bjorner, J. B., Groenvold, M., Rasmussen, ÅK., Bonnema, S. J., Hegedüs, L., et al. (2009). Establishing construct validity for the thyroid-specific patient reported outcome measure (ThyPRO): an initial examination. Q. Life Res. 18, 483–496. doi: 10.1007/s11136-009-9460-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Watt, T., Cramon, P., Hegedüs, L., Bjorner, J. B., Bonnema, S. J., Rasmussen, ÅK., et al. (2014). The thyroid-related quality of life measure ThyPRO has good responsiveness and ability to detect relevant treatment effects. J. Clin. Endocrinol. Metab. 99, 3708–3717. doi: 10.1210/jc.2014-1322

PubMed Abstract | CrossRef Full Text | Google Scholar

Watt, T., Hegedüs, L., Bjorner, J. B., Groenvold, M., Bonnema, S. J., Rasmussen, ÅK., et al. (2012). Is thyroid autoimmunity per se a determinant of quality of life in patients with autoimmune hypothyroidism? Eur. Thyroid J. 1, 186–192. doi: 10.1159/000342623

PubMed Abstract | CrossRef Full Text | Google Scholar

Willemsen, R., Roseeuw, D., and Vanderlinden, J. (2008). Alexithymia and dermatology: the state of the art. Intern. J. Dermatol. 47, 903–910. doi: 10.1111/j.1365-4632.2008.03726.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Winther, K. H., Cramon, P., Watt, T., Bjorner, J. B., Ekholm, O., Feldt-Rasmussen, U., et al. (2016). Disease-specific as well as generic quality of life is widely impacted in autoimmune hypothyroidism and improves during the first six months of levothyroxine therapy. PLoS One 11:e0156925. doi: 10.1371/journal.pone.0156925

PubMed Abstract | CrossRef Full Text | Google Scholar

Wong, C. K., Choi, E. P., Woo, Y. C., and Lang, B. H. (2018). Measurement properties of ThyPRO short-form (ThyPRO-39) for use in Chinese patients with benign thyroid diseases. Q. Life Res. 27, 2177–2187. doi: 10.1007/s11136-018-1857-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Wong, C. K., Lang, B. H., and Lam, C. L. (2016). A systematic review of quality of thyroid-specific health-related quality-of-life instruments recommends ThyPRO for patients with benign thyroid diseases. J. Clin. Epidemiol. 78, 63–72. doi: 10.1016/j.jclinepi.2016.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Yıldız, M., Şahin, Ş, Batmaz, S., Songur, E., and Kutlutürk, F. (2017). The relationship between depression, anxiety, personality traits and coping strategies of patients with euthyroid Hashimoto’s Thyroiditis. Eur. J. Psychiatry 31, 113–118. doi: 10.1016/j.ejpsy.2017.06.001

CrossRef Full Text | Google Scholar

Keywords: alexithymia (TAS-20), clinical psychology and health, depression, anxiety, quality of life, HR-QoL, Hascimoto’s thyroiditis, emotional distress

Citation: Martino G, Caputo A, Vicario CM, Feldt-Rasmussen U, Watt T, Quattropani MC, Benvenga S and Vita R (2021) Alexithymia, Emotional Distress, and Perceived Quality of Life in Patients With Hashimoto’s Thyroiditis. Front. Psychol. 12:667237. doi: 10.3389/fpsyg.2021.667237

Received: 12 February 2021; Accepted: 23 March 2021;
Published: 11 May 2021.

Edited by:

Mariagrazia Di Giuseppe, University of Pisa, Italy

Reviewed by:

Rebecca Ciacchini, University of Pisa, Italy
Daniela Marchetti, University of Studies G. d’Annunzio Chieti and Pescara, Italy

Copyright © 2021 Martino, Caputo, Vicario, Feldt-Rasmussen, Watt, Quattropani, Benvenga and Vita. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Gabriella Martino, martinog@unime.it

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