Next Article in Journal
Ga-68-PSMA-11 PET/CT in Patients with Biochemical Recurrence of Prostate Cancer after Primary Treatment with Curative Intent—Impact of Delayed Imaging
Next Article in Special Issue
A Preliminary Study on Photic Driving in the Electroencephalogram of Children with Autism across a Wide Cognitive and Behavioral Range
Previous Article in Journal
Assessment of Smell and Taste Disturbances among COVID-19 Convalescent Patients: A Cross-Sectional Study in Armenia
Previous Article in Special Issue
Parenting Stress in Mothers of Children and Adolescents with Down Syndrome
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Body Emotional Investment and Emotion Dysregulation in a Sample of Adolescents with Gender Dysphoria Seeking Sex Reassignment

1
Department of Basic Medical Sciences, Neuroscience and Sensory Organs, University Hospital “A. Moro”, Piazza Giulio Cesare 11, 70100 Bari, Italy
2
Department of Biomedical Sciences and Human Oncology, University Hospital “A. Moro”, Piazza Giulio Cesare 11, 70100 Bari, Italy
3
Psychiatry Unit, Azienda Ospedaliero-Universitaria Policlinico di Bari, 70100 Bari, Italy
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(12), 3314; https://doi.org/10.3390/jcm11123314
Submission received: 17 March 2022 / Revised: 31 May 2022 / Accepted: 6 June 2022 / Published: 9 June 2022

Abstract

:
Adolescents with gender dysphoria (GD) often have internalizing symptoms, but the relationship with affective bodily investment and emotion dysregulation is actually under-investigated. The aims of this study are: (1) the comparison of Self-Administrated Psychiatric Scales for Children and Adolescents’ (SAFA), Body Investment Scale’s (BIS), and Difficulties in Emotion Regulation Scale’s (DERS) scores between GD adolescents (n = 30) and cisgenders (n = 30), (2) finding correlations between body investment and emotion regulation in the GD sample, (3) evaluating the link between these dimensions and internalizing symptomatology of GD adolescents. In addition to the significant impairment in emotion regulation and a negative body investment in the GD sample, Spearman’s correlation analyses showed a relationship between worse body protection and impaired emotion regulation, and binary logistic regressions of these dimensions on each SAFA domain evidenced that they may have a role in the increased probability of pathological scores for depression. Our results focused on the role played by emotion regulation and emotional investment in the body in the exacerbating and maintenance of internalizing symptoms, in particular depression, and self-harming behaviors in GD adolescents.

1. Introduction

Gender identity refers to an individual’s identification as male, female, or, occasionally, some category other than male or female [1]. The term “Gender Variance” includes a wide spectrum of gender experiences and behaviors pointing to a partial or complete mismatch between an individual’s gender identity and the sex established at birth [2]. “Gender Dysphoria” (GD) is a general descriptive term that refers to an individual’s affective/cognitive discontent with the assigned gender; meanwhile, in a diagnostic manner, according to the Diagnostic and Statistical Manual of Mental Disorders 5th ed. (DSM-5), it refers to the distress that may accompany the incongruence between one’s experienced or expressed gender and one’s assigned gender, resulting in significant psychological distress and impairment in important areas of functioning [3]. This discrepancy is the central component of the DSM-5’s Criteria A for GD, and it is described differently in children and adolescent/adults: children’s specifiers are more concrete and behavior-related than adolescent/adult ones, in which the subjective experience of gender and somatic sexual characteristics is the prominent part of the diagnosis. Criteria B is the same for both children and adolescents/adults, and it focuses on clinically significant distress and global impairment in several domains of functioning [3,4,5].
Recent epidemiological data on young individuals with GD [6,7] suggest that the number of adolescents referred to specialized gender identity clinics appears to be increasing, with heterogeneous data from different countries [8,9]. A large Netherlands cohort study about older subjects reported a prevalence of 1:11,900 male-assigned at birth and 1:30,400 female-assigned at birth in 1990 vs. 1:2800 male-assigned at birth and 1:5200 female-assigned at birth in 2015 [10]. Meanwhile, mostly in adolescence, it is evident that there is a progressive change in the sex ratio, from a higher proportion of male-assigned at birth to higher rates of female-assigned at birth [1,11,12,13], as shown in a study about sex ratio data in which, comparing years 1988–2006 and 2007–2016 in an Amsterdam Clinic, the sex ratio changed significantly, favoring female-assigned at birth (percentage of male-assigned at birth for the 2 time periods: 69.7% vs. 46.8%) [14]. Moreover, retrospective studies demonstrate that GD continues from childhood into adulthood in the range of 12–27%, suggesting that not all children and youths perceiving gender identities different from the biological sex would have persistent GD in their maturity [15]. A growing body of research reveals that GD individuals aged between 10 and 17 years old experience a range of psychiatric symptoms at rates higher than youths of the general population; in fact, Connolly et al. in 2016 [16] synthetized in a review the results of different studies of psychiatric comorbidities in adolescents with gender dysphoria, finding presence of depression in 12–64%, suicide attempts in 9–19%, self-harm in 13–46%, and eating disorders in 5–15%; moreover, it was found that there was a significative difference (p < 0.0001) in comparisons with cisgenders for the presence of depression and history of suicide attempts; lastly, this review also included two studies that compared psychiatric symptoms for gender dysphoria adolescents who had socially transitioned or who had been treated with steroid suppression, finding no difference with cisgenders of the same age [16,17]. It is well-established that adolescence is a period marked by the onset of various mental disorders [18,19], and that the impairment in self-perceived “body experience” has a strong association with a number of psychopathological conditions with gender-related clinical manifestations [20,21,22]. So, we argued that the inner process that leads to awareness of gender incongruity is accompanied by a negative emotional investment in one’s body as well as a broader difficulty regulating and managing negative emotions, and that both of these dimensions may play a significant role in the onset of internalizing symptoms.
Body investment is a multidimensional construct that refers to the cognitive, behavioral, and emotional importance of the body in one’s self-evaluation, and it theorizes that having a positive relationship with one’s own body increases one’s tendency for life preservation and attraction to life and serves as a shield against self-destruction [23]. As a result, it was expected that facets of body investment (body image, body care, body protection, and body touch) [23,24] would play a role in the prediction of non-suicidal self-harming injuries (NSSI) and acquired capability for suicide and suicide attempts [23,25]. In the meantime, the current literature focused attention on the well-established association between self-harming and self-destructive behaviors and greater degrees of emotion dysregulation [26,27,28]. Emotion regulation refers to a complex array of processes and strategies for monitoring, evaluating, and adjusting emotional experiences in the short-term and dynamically over time to accomplish goals [29]. These processes can be intrapersonal, arising from the inside of a person, and/or interpersonal, and a central task of adolescence is to learn how to control emotions in adaptive ways to promote social functioning and psychological well-being [30]. Although body investment is supposed to be associated with self-harming and self-destructive tendencies, and poor emotion regulation has been observed among children and adolescents with a variety of diagnoses, to our knowledge these dimensions have still not been investigated in GD adolescents.
Thus, the first objective of the current study was to compare: (a) internalizing symptoms, (b) emotional investment in the body, and (c) emotional regulation ability among a sample of adolescents with GD seeking sex reassignment (SR) with a comparison group of volunteers, without feelings of gender incongruences (cisgender) and without present or past formal psychopathological disorders, in the same age range. The second objective was to study the correlation between body investment and the ability to regulate emotions in the group of adolescents with GD; the last purpose was to evaluate if negative body investment and/or emotional dysregulation might be used to predict various aspects of internalizing symptomatology.

2. Materials and Methods

2.1. Subjects’ Recruitment

We enrolled a sample of individuals aged 12 to 18 years old at their first request of SR, who were referred to the Child and Adolescent Neuropsychiatry Unit of University of Bari “Aldo Moro” over a period of 24 months (April 2019–April 2021). The subjects were included in the study if they met the diagnostic criteria for GD according to DSM-5 [2] after a specialist evaluation by physicians and psychologists from the Child and Adolescent Neuropsychiatry Unit and/or Service for Gender Dysphoria of Psychiatry Unit. Formal diagnosis of intellectual disability (ID) and autism spectrum disorder (ASD) were considered exclusion criteria for enrollment.
All participants and their parents underwent a clinical global assessment that looked at: (1) the reason for referral, (2) the onset timing and signs suggestive of GD in childhood or adolescence, (3) the history of neurodevelopmental disorders (according to DSM-5, with the exclusion of ID and ASD), (4) social behavior and relationships, (5) previous and current psychiatric symptoms including suicidal and self-injury behaviors. Cisgender volunteers included in the comparison group were recruited in two territorial high schools, after being informed about the aims of the study and stating their and their parents’ formal consent. They were asked to complete the assessment questionnaires if they were in the same range of age of the clinical group and with no previous or current history of formal psychopathological disorders. The study was approved by the Ethics Committee of the Policlinics of Bari (ED-AG).

2.2. Assessment of Psychopathology

The following structured self-report questionnaires were administered to the GD sample to complete the assessment of psychopathology and to the volunteer sample for comparison.

2.2.1. Self-Administrated Psychiatric Scales for Children and Adolescents (SAFA)

SAFA is an Italian self-administered battery standardized on 895 Italian school children and adolescents and on 125 patients affected by different psychiatric disturbances, with age-specific scales for subjects aged 8 to 18 years old [31]. It investigates the internalizing dimensions of anxiety-related areas (SAFA A), depression-related areas (SAFA D), obsessive-compulsive symptoms (SAFA O), psychogenic eating disorders (SAFA P), somatic symptoms, and hypochondria (SAFA S) [32]. The raw scores obtained for each scale are converted to standardized (T) scores using age and sex reference tables (T = 50 + 10Z) and T scores differentiate pathological from non-pathological results according to the threshold T > 60. The psychometric properties of the questionnaire demonstrated adequate internal stability and consistency, with a Cronbach’s alpha > 0.80, and good one week test-retest stability (p < 0.01). Moreover, SAFA A, SAFA D, and SAFA P showed high convergent validity with other wide-validation questionnaires [33,34].

2.2.2. Difficulties in Emotion Regulation Scale (DERS)

DERS is a 36-item self-report questionnaire [35], validated in Italian [36,37] and on adolescent populations [38,39]. It assesses six relevant domains of emotion regulation abilities: (1) non-acceptance of emotional responses (6 items), (2) difficulties engaging in goal-directed behavior (5 items), (3) impulse control difficulties (8 items), (4) lack of emotional awareness (5 items), (5) limited access to emotion regulation strategies (6 items), and (6) lack of emotional clarity (5 items). The sum of the scores of the six scales determines the overall score. High scores correspond to more difficulty in emotion regulation. Sighinolfi et al. 2010 [36] revealed strong internal consistency for the overall score of the Italian version, with Cronbach’s alpha of 0.90, and the six subscales exhibited values between 0.74 and 0.88 which were satisfactory too; moreover, Giromini et al. 2012 found adequate, and comparable to previous findings, internal consistency and test-retest reliability and good validity as indicated by concurrent validity analysis and comparison between a clinical and a non-clinical sample [37].

2.2.3. Body Investment Scale (BIS)

BIS is a 24-item self-report [24], widely translated and diffusely used in scientific literature [40,41]. The scale is used in this paper in a self-made Italian translation due to the lack of an official version validated in this country. It examines the individual’s emotional investment in their own body, through the inclination toward conducting self-harm behaviors in the following four-factor domains with 6 items for each domain: (1) body care, (2) comfort in physical touch, (3) body protection, (4) image feelings and attitudes about the body [40]. The scale showed adequate consistency for each scale in the original version (Cronbach’s alpha ranging from 0.80 to 0.95) [23,24]; moreover, studies of validation on adolescent samples provided additional support for the four-factor solution and good capacity in differentiating the responses of suicidal and non-suicidal adolescents [42].

2.3. Statistical Analyses

All of the variables were recorded in a structured form specifically for this research. IBM SPSS Statistics 27 (SPS S.r.l.; Bologna, Italy) [43] was used to perform the analyses. Descriptive analyses were produced for sociodemographic characteristics including frequencies, means, and standard deviations. Assumptions of normality were tested using the Shapiro–Wilk test given the sample size. The psychometric parameters were compared between the clinical sample and the comparison group using the Mann–Whitney test for independent samples. To study the correlations between body investment feelings and emotional dysregulation in the clinical sample, Spearman’s (rs) coefficients were examined among BIS-C, BIS-T, BIS-P, BIS-I, and DERS-TOT and all of its scales. Moreover, univariate logistic binary regressions were performed to estimate the predictive individual capacity of each BIS domain and DERS-TOT as independent variables and each SAFA scale as dependent variable in both groups, using T = 60 as cut-off for pathological values, according to its psychometric proprieties. The assumption of non-collinearity was tested through the calculation of variance inflation factors (VIFs) [44]. The level of significance was set at p < 0.05.

3. Results

The total number of adolescents who came to our attention with a request for sex reassignment during the recruitment period was 33 subjects. Two of them were excluded because they had a diagnosis of autism spectrum disorder; moreover, one adolescent dropped out prior to undergoing psychometric assessment. The final GD sample of 30 subjects consisted of 23 female-assigned at birth and 7 male-assigned at birth with a mean age of 15.6 ± 1.6 (15.4 ± 1.64 for female-assigned at birth and 16.3 ± 1.25 for male-assigned at birth); the comparison sample included 26 females and 4 males, with a mean age of 16.3 ± 1 years for both males and females. The difference in sex ratio between the groups was tested by X2 test for categorical variables with no significance found (p = 0.317). Clinical characteristics of the GD sample obtained during the assessment are listed in Table 1.
Table 2 shows the comparison between the clinical and cisgender groups. In the GD sample, statistically significant higher scores were found in SAFA-A, SAFA-D, and SAFA-S, indicating the presence of pathological anxiety, depression, and somatic symptoms; otherwise, statistically significant lower scores were found in BIS-C, BIS-P, and BIS-I, indicating a negative attitude and feelings toward one’s own body, with the exception of discomfort in touch; moreover, with the exception of the impulse and awareness scales, statistically significant higher scores were reported for the total and all subscales of the DERS, implying a more severe emotional dysregulation in the clinical group.
For the GD sample, the correlations between the body investment domains and difficulties in emotion regulation are reported in Table 3. BIS-P is inversely associated with DERS-TOT and the awareness, strategies, and clarity scales; moreover, clarity has a statistically significant and negative correlation with BIS-C too.
Lastly, Table 4 summarizes the findings of the univariate binary logistic regression analyses performed on each SAFA scale in the GD and cisgender samples. According to the Hosmer and Lemeshow test, all analyses were significant. DERS-TOT emerged to predict each area of internalizing psychopathology evaluated by SAFA; otherwise, BIS-P emerged to be the only body investment factor that operates as a predictor for depressive and eating behavior symptomatology.

4. Discussion

In this study, we examined cognitive and affective processes related to body investment attitudes and emotion regulation abilities in a clinical sample of GD adolescents at their first request of SR.
The main finding was that adolescents with GD, when compared to a comparison group of cisgender volunteers, had significant impairment of both emotion regulation and emotional investment in the body, along with the presence of internalizing symptoms of anxiety, depression, and somatization. Moreover, we found that in the GD sample, a worse protective attitude toward the body and impaired emotion regulation abilities are interrelated and may have a link with the greater likelihood of pathological scores for depressive symptomatology and with symptoms of psychogenic eating disorders (in a weaker manner than with depression).
Previous studies conducted in different clinical populations have suggested that body image dissatisfaction, specifically, may play a role in the onset of depressive symptoms [45] and that emotion dysregulation acts as a transdiagnostic factor of vulnerability for multiple psychiatric disorders [46,47,48,49,50]. Despite this, to the best of our knowledge, the literature lacks specific data on emotion dysregulation and body emotional investment, more than just body image dislike, in GD adolescents [51].
We know that internalizing and externalizing symptoms are more common during the adolescent years, because of the complicated interaction between neurocognitive developmental processes and social pressures [52,53]. Thus, it is reasonable to assume that adolescents experiencing gender incongruities are exposed to a greater emotional burden, both because of the increased social pressures they face and due to the complex maturation of emotional regulation skills, closely linked to body investment.
Starting from the idea that the intensification of gender incongruence awareness is inherently distressing, we explored the hypothesis that negative affective investment in one’s own body as well as emotion dysregulation are intimately connected to gender incongruence, and that both these dimensions may have a role in the risk of internalizing symptoms in GD adolescents.
As expected, our results confirmed the data of the literature about a significant presence of internalizing symptoms (anxiety, depression, and somatic) and emotional difficulties in the GD group as compared to the cisgender volunteers’ sample [12,54,55]. However, the most clinically relevant data were found studying the correlation between BIS and DERS scores in GD adolescents, and their respective potential implication in the modulation of internalizing symptomatology. Indeed, we observed an inversely proportional correlation between the body protection score and different DERS subscales, suggesting a bidirectional link between low protective attitudes toward their own body and higher difficulty in emotion regulation in GD adolescents.
In the meantime, it is worthy to note that, evaluating the predictive role of each BIS domain and DERS total score on internalizing symptomatology (Safa A, D, O, P, S), the body protection domain has a strong specific relationship with depression and eating disorders symptomatology, while DERS total score is linked with all of the psychopathological dimensions examined [29]. As a result, we can argue that having a negative protective attitude about one’s body has a greater impact on depression than physical dislike of one’s appearance [56,57].
Globally considered, these findings suggest that adolescents with gender incongruence may be faced with difficult-to-manage negative emotions and depressive symptoms [40] when they have a bad protective attitude towards the body, rather than when they have difficulties in other domains of the multidimensional construct of BIS. This is of considerable clinical importance and requires certain therapeutic attention, especially during adolescent years, because the coexistence of emotion dysregulation, bad body protective attitude, and depressive symptoms may increase the risk of self-injurious and suicidal behavior.
Despite this, the study has some important factors that require attention; the main limitation is the small sample size, which reduces statistical power and limits the possibility of using more complex statistical analyses; moreover, the cross-sectional nature of the study does not allow one to make any causal inferences, therefore, larger sample sizes and longitudinal designs are needed to better understand the role of body investment and emotion dysregulation as a link between the intensification of gender incongruence awareness and internalizing symptomatology. Furthermore, attention should be paid to the way the recruitment was conducted: we excluded ID because it could compromise the validity of the scores of the questionnaires and ASD because of the frequent overlapping between gender dysphoria and autism that could represent a confounding factor [58], and because the way in which emotion regulation and emotional understanding act in ASD patients has different mechanisms and diverse awareness and produces different behaviors in these patients; however, the exclusion of this subjects limits the possibility of studying GD in this population. Lastly, the exiguity of multiple sources of information due to the retrospective method of data collection does not allow one to analyze eventual confounding factors regarding clinical and anamnestic data.
However, a key aspect of this study is the fact that it analyzes specific and understudied outcomes, such as body investment attitudes and emotion dysregulation among adolescents with gender dysphoria, a highly vulnerable but also not so extensively studied population. Furthermore, this work sheds new light on the idea that the distress typical of these individuals may be due to intrinsic suffering related to increasing awareness of gender incongruence, in addition to the issue of victimization and societal pressure.

5. Conclusions

In conclusion, our results support the hypothesis that adolescents with GD experience a “clinically significant distress” (DSM 5) [2], due to the mismatch between the individual’s experienced and/or expressed gender and the birth assigned gender. So, this study emphasizes the intrinsic emotional suffering linked with the awareness of gender incongruity, which is compounded by environmental challenges such as marginalization, discrimination, rejection, violence, and transphobia. Both of these components play a role in the development and maintenance of internalizing disorders, self-harm, and suicide risk, and are exacerbated by the problems that come with adolescent challenges. The care of GD adolescents must take into account these factors, without neglecting the function of emotion regulation and affective investment in the body in the genesis and maintenance of internalizing psychopathological disorders. Acting on the aforementioned predictive criteria would make the management more detailed, more customized, and definitely more effective. Future research should be presented with longitudinal designs and should use more generally recognized and standardized measurements.

Author Contributions

Conceptualization, M.G.P.; methodology, M.G.P.; formal analysis, F.F. and L.M. (Lucia Marzulli); investigation, F.F., L.M. (Lucia Marzulli), F.M.P., A.M., S.I. and E.L.; data curation, F.F. and L.M. (Lucia Marzulli); writing—original draft preparation, M.G.P. and F.F.; writing—review and editing, M.G.P. and E.M.; supervision, E.M. and L.M. (Lucia Margari); project administration, L.M. (Lucia Margari). 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 in accordance with the Declaration of Helsinki and approved by Ethics Committee of Policlinics of Bari (ED-AG protocol code 0059383 and date of approval 6 July 2021).

Informed Consent Statement

Written informed consent was obtained from patients and volunteers’ parents or legal guardians, as well as written acceptance of the recruitment from young subjects once they were informed about the research’s aims.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Agana, M.G.; Greydanus, D.E.; Indyk, J.A.; Calles, J.L.; Kushner, J.; Leibowitz, S.; Chelvakumar, G.; Cabral, M.D. Caring for the Transgender Adolescent and Young Adult: Current Concepts of an Evolving Process in the 21st Century. Dis. Mon. 2019, 65, 303–356. [Google Scholar] [CrossRef] [PubMed]
  2. Richards, C.; Bouman, W.P.; Seal, L.; Barker, M.J.; Nieder, T.O.; T’Sjoen, G. Non-Binary or Genderqueer Genders. Int. Rev. Psychiatry 2016, 28, 95–102. [Google Scholar] [CrossRef] [Green Version]
  3. American Psychiatric Association (APA). DSM-5. Diagnostic and Statistical Manual of Mental Disorders, 5th ed.; American Psychiatric Association: Washington, DC, USA, 2013. [Google Scholar]
  4. Lawrence, A.A. Gender Assignment Dysphoria in the DSM-5. Arch. Sex Behav. 2014, 43, 1263–1266. [Google Scholar] [CrossRef]
  5. Beek, T.F.; Cohen-Kettenis, P.T.; Kreukels, B.P.C. Gender Incongruence/Gender Dysphoria and Its Classification History. Int. Rev. Psychiatry 2016, 28, 5–12. [Google Scholar] [CrossRef]
  6. Kaltiala-Heino, R.; Työläjärvi, M.; Lindberg, N. Sexual Experiences of Clinically Referred Adolescents with Features of Gender Dysphoria. Clin. Child. Psychol. Psychiatry 2019, 24, 365–378. [Google Scholar] [CrossRef]
  7. Romeo, K.E.; Kelley, M.A. Incorporating Human Sexuality Content into a Positive Youth Development Framework: Implications for Community Prevention. Child. Youth Serv. Rev. 2009, 9, 1001–1009. [Google Scholar] [CrossRef]
  8. Wood, H.; Sasaki, S.; Bradley, S.J.; Singh, D.; Fantus, S.; Owen-Anderson, A.; Di Giacomo, A.; Bain, J.; Zucker, K.J. Patterns of Referral to a Gender Identity Service for Children and Adolescents (1976–2011): Age, Sex Ratio, and Sexual Orientation. J. Sex Marital. Ther. 2013, 39, 1–6. [Google Scholar] [CrossRef] [PubMed]
  9. Fuss, J.; Auer, M.K.; Briken, P. Gender Dysphoria in Children and Adolescents: A Review of Recent Research. Curr. Opin. Psychiatry 2015, 28, 430–434. [Google Scholar] [CrossRef] [PubMed]
  10. Wiepjes, C.M.; Nota, N.M.; de Blok, C.J.M.; Klaver, M.; de Vries, A.L.C.; Wensing-Kruger, S.A.; de Jongh, R.T.; Bouman, M.-B.; Steensma, T.D.; Cohen-Kettenis, P.; et al. The Amsterdam Cohort of Gender Dysphoria Study (1972-2015): Trends in Prevalence, Treatment, and Regrets. J. Sex Med. 2018, 15, 582–590. [Google Scholar] [CrossRef]
  11. Butler, G.; De Graaf, N.; Wren, B.; Carmichael, P. Assessment and Support of Children and Adolescents with Gender Dysphoria. Arch. Dis. Child. 2018, 103, 631–636. [Google Scholar] [CrossRef]
  12. Aitken, M.; Steensma, T.D.; Blanchard, R.; VanderLaan, D.P.; Wood, H.; Fuentes, A.; Spegg, C.; Wasserman, L.; Ames, M.; Fitzsimmons, C.L.; et al. Evidence for an Altered Sex Ratio in Clinic-Referred Adolescents with Gender Dysphoria. J. Sex Med. 2015, 12, 756–763. [Google Scholar] [CrossRef]
  13. Arnoldussen, M.; van der Miesen, A.I.R.; Elzinga, W.S.; Alberse, A.-M.E.; Popma, A.; Steensma, T.D.; de Vries, A.L.C. Self-Perception of Transgender Adolescents after Gender-Affirming Treatment: A Follow-Up Study into Young Adulthood. LGBT Health 2022, 9, 238–246. [Google Scholar] [CrossRef]
  14. De Graaf, N.M.; Carmichael, P.; Steensma, T.D.; Zucker, K.J. Evidence for a Change in the Sex Ratio of Children Referred for Gender Dysphoria: Data from the Gender Identity Development Service in London (2000–2017). J. Sex Med. 2018, 15, 1381–1383. [Google Scholar] [CrossRef]
  15. Flores, A.R.; Herman, J.L.; Gates, G.J.; Brown, T.N.T. How Many Adults Identify as Transgender in the United States? UCLA—William Institute, School of Law: Los Angeles, CA, USA, 2016. [Google Scholar]
  16. Connolly, M.D.; Zervos, M.J.; Barone, C.J.; Johnson, C.C.; Joseph, C.L.M. The Mental Health of Transgender Youth: Advances in Understanding. J. Adolesc. Health 2016, 59, 489–495. [Google Scholar] [CrossRef]
  17. Bonifacio, J.H.; Maser, C.; Stadelman, K.; Palmert, M. Management of Gender Dysphoria in Adolescents in Primary Care. CMAJ 2019, 191, E69–E75. [Google Scholar] [CrossRef] [Green Version]
  18. López-Vicente, M.; Agcaoglu, O.; Pérez-Crespo, L.; Estévez-López, F.; Heredia-Genestar, J.M.; Mulder, R.H.; Flournoy, J.C.; van Duijvenvoorde, A.C.K.; Güroğlu, B.; White, T.; et al. Developmental Changes in Dynamic Functional Connectivity from Childhood Into Adolescence. Front. Syst. Neurosci. 2021, 15, 724805. [Google Scholar] [CrossRef]
  19. Lynch, S.J.; Sunderland, M.; Newton, N.C.; Chapman, C. A Systematic Review of Transdiagnostic Risk and Protective Factors for General and Specific Psychopathology in Young People. Clin. Psychol. Rev. 2021, 87, 102036. [Google Scholar] [CrossRef]
  20. Mehling, W.E.; Gopisetty, V.; Daubenmier, J.; Price, C.J.; Hecht, F.M.; Stewart, A. Body Awareness: Construct and Self-Report Measures. PLoS ONE 2009, 4, e5614. [Google Scholar] [CrossRef] [Green Version]
  21. Scheffers, M.; Hoek, M.; Bosscher, R.J.; van Duijn, M.A.J.; Schoevers, R.A.; van Busschbach, J.T. Negative Body Experience in Women with Early Childhood Trauma: Associations with Trauma Severity and Dissociation. Eur. J. Psychotraumatol. 2017, 8, 1322892. [Google Scholar] [CrossRef] [Green Version]
  22. Scheffers, M.; van Duijn, M.A.J.; Beldman, M.; Bosscher, R.J.; van Busschbach, J.T.; Schoevers, R.A. Body Attitude, Body Satisfaction and Body Awareness in a Clinical Group of Depressed Patients: An Observational Study on the Associations with Depression Severity and the Influence of Treatment. J. Affect. Disord. 2019, 242, 22–28. [Google Scholar] [CrossRef]
  23. Orbach, I.; Stein, D.; Shani-Sela, M.; Har-Even, D. Body Attitudes and Body Experiences in Suicidal Adoelscents. Suicide Life-Threat. Behav. 2001, 31, 237–249. [Google Scholar] [CrossRef] [PubMed]
  24. Orbach, I.; Mikulincer, M. The Body Investment Scale: Construction and Validation of a Body Experience Scale. Psychol. Assess. 1998, 10, 415–425. [Google Scholar] [CrossRef]
  25. Brausch, A.M.; Nichols, P.M.; Laves, E.H.; Clapham, R.B. Body Investment as a Protective Factor in the Relationship between Acquired Capability for Suicide and Suicide Attempts. Behav. Ther. 2021, 52, 1114–1122. [Google Scholar] [CrossRef] [PubMed]
  26. Harris, L.; Chelminski, I.; Dalrymple, K.; Morgan, T.; Zimmerman, M. Suicide Attempts and Emotion Regulation in Psychiatric Outpatients. J. Affect. Disord. 2018, 232, 300–304. [Google Scholar] [CrossRef]
  27. Janiri, D.; Moccia, L.; Conte, E.; Palumbo, L.; Chieffo, D.P.R.; Fredda, G.; Menichincheri, R.M.; Balbi, A.; Kotzalidis, G.D.; Sani, G.; et al. Emotional Dysregulation, Temperament and Lifetime Suicidal Ideation among Youths with Mood Disorders. J. Pers. Med. 2021, 11, 865. [Google Scholar] [CrossRef]
  28. Wolff, J.C.; Thompson, E.; Thomas, S.A.; Nesi, J.; Bettis, A.H.; Ransford, B.; Scopelliti, K.; Frazier, E.A.; Liu, R.T. Emotion Dysregulation and Non-Suicidal Self-Injury: A Systematic Review and Meta-Analysis. Eur. Psychiatry 2019, 59, 25–36. [Google Scholar] [CrossRef]
  29. Sloan, E.; Hall, K.; Moulding, R.; Bryce, S.; Mildred, H.; Staiger, P.K. Emotion Regulation as a Transdiagnostic Treatment Construct across Anxiety, Depression, Substance, Eating and Borderline Personality Disorders: A Systematic Review. Clin. Psychol. Rev. 2017, 57, 141–163. [Google Scholar] [CrossRef]
  30. Daros, A.R.; Haefner, S.A.; Asadi, S.; Kazi, S.; Rodak, T.; Quilty, L.C. A Meta-Analysis of Emotional Regulation Outcomes in Psychological Interventions for Youth with Depression and Anxiety. Nat. Hum. Behav. 2021, 5, 1443–1457. [Google Scholar] [CrossRef]
  31. Cianchetti, C.; Fancello, G.S. SAFA: Scale Psichiatriche di Autosomministrazione per Fanciulli e Adolescenti; Giunti Psychometrics: Firenze, Italy, 2001. [Google Scholar]
  32. Franzoni, E. SAFA: A New Measure to Evaluate Psychiatric Symptoms Detected in a Sample of Children and Adolescents Affected by Eating Disorders. Correlations with Risk Factors. Neuropsychiatr. Dis. Treat. 2009, 5, 207. [Google Scholar] [CrossRef] [Green Version]
  33. Cianchetti, C.; Bianchi, E.; Guerrini, R.; Baglietto, M.G.; Briguglio, M.; Cappelletti, S.; Casellato, S.; Crichiutti, G.; Lualdi, R.; Margari, L.; et al. Symptoms of Anxiety and Depression and Family’s Quality of Life in Children and Adolescents with Epilepsy. Epilepsy Behav. 2018, 79, 146–153. [Google Scholar] [CrossRef]
  34. Nacinovich, R.; Gadda, S.; Maserati, E.; Bomba, M.; Neri, F. Preadolescent Anxiety: An Epidemiological Study Concerning an Italian Sample of 3479 Nine-Year-Old Pupils. Child. Psychiatry Hum. Dev. 2012, 43, 27–34. [Google Scholar] [CrossRef]
  35. Gratz, K.; Roemer, L. Multidimensional Assessment of Emotion Regulation and Dysregulation: Development, Factor Structure, and Initial Validation of the Difficulties in Emotion Regulation Scale. J. Psychopathol. Behav. Assess. 2004, 26, 41–54. [Google Scholar] [CrossRef]
  36. Sighinolfi, C.; Norcini Pala, A.; Chiri, L.; Marchetti, I.; Sica, C. Difficulties in Emotion Regulation Scale (DERS): Traduzione e Adattamento Italiano. Psicoter. Cogn. E Comport. 2010, 16, 141–170. [Google Scholar]
  37. Giromini, L.; Velotti, P.; de Campora, G.; Bonalume, L.; Cesare Zavattini, G. Cultural Adaptation of the Difficulties in Emotion Regulation Scale: Reliability and Validity of an Italian Version. J. Clin. Psychol. 2012, 68, 989–1007. [Google Scholar] [CrossRef] [Green Version]
  38. Ritschel, L.A.; Tone, E.B.; Schoemann, A.M.; Lim, N.E. Psychometric Properties of the Difficulties in Emotion Regulation Scale across Demographic Groups. Psychol. Assess. 2015, 27, 944–954. [Google Scholar] [CrossRef]
  39. Gómez-Simón, I.; Penelo, E.; de la Osa, N. Factor Structure and Measurement Invariance of the Difficulties Emotion Regulation Scale (DERS) in Spanish Adolescents. Psicothema 2014, 26, 401–408. [Google Scholar] [CrossRef] [Green Version]
  40. Marco, J.H.; Perpiñá, C.; Roncero, M.; Botella, C. Confirmatory Factor Analysis and Psychometric Properties of the Spanish Version of the Multidimensional Body-Self Relations Questionnaire-Appearance Scales in Early Adolescents. Body Image 2017, 21, 15–18. [Google Scholar] [CrossRef]
  41. Vieira, A.I.; Fernandes, J.; Machado, P.P.P.; Gonçalves, S. The Portuguese Version of the Body Investment Scale: Psychometric Properties and Relationships with Disordered Eating and Emotion Dysregulation. J. Eat. Disord. 2020, 8, 24. [Google Scholar] [CrossRef]
  42. Osman, A.; Gutierrez, P.M.; Schweers, R.; Fang, Q.; Holguin-Mills, R.L.; Cashin, M. Psychometric Evaluation of the Body Investment Scale for Use with Adolescents. J. Clin. Psychol. 2010, 66, 259–276. [Google Scholar] [CrossRef]
  43. IBM SPSS Statistics 27 Documentation. Available online: https://www.ibm.com/support/pages/ibm-spss-statistics-27-documentation (accessed on 7 March 2022).
  44. Johnston, R.; Jones, K.; Manley, D. Confounding and Collinearity in Regression Analysis: A Cautionary Tale and an Alternative Procedure, Illustrated by Studies of British Voting Behaviour. Qual. Quant. 2018, 52, 1957–1976. [Google Scholar] [CrossRef] [Green Version]
  45. Lamis, D.A.; Malone, P.S.; Langhinrichsen-Rohling, J.; Ellis, T.E. Body Investment, Depression, and Alcohol Use as Risk Factors for Suicide Proneness in College Students. Crisis 2010, 31, 118–127. [Google Scholar] [CrossRef] [Green Version]
  46. Gratz, K.L.; Rosenthal, M.Z.; Tull, M.T.; Lejuez, C.W.; Gunderson, J.G. An Experimental Investigation of Emotion Dysregulation in Borderline Personality Disorder. J. Abnorm. Psychol. 2006, 115, 850–855. [Google Scholar] [CrossRef]
  47. Ehring, T.; Quack, D. Emotion Regulation Difficulties in Trauma Survivors: The Role of Trauma Type and PTSD Symptom Severity. Behav. Ther. 2010, 41, 587–598. [Google Scholar] [CrossRef]
  48. Mennin, D.S.; Holaway, R.M.; Fresco, D.M.; Moore, M.T.; Heimberg, R.G. Delineating Components of Emotion and Its Dysregulation in Anxiety and Mood Psychopathology. Behav. Ther. 2007, 38, 284–302. [Google Scholar] [CrossRef]
  49. Gratz, K.L.; Tull, M.T. The Relationship between Emotion Dysregulation and Deliberate Self-Harm Among Inpatients with Substance Use Disorders. Cognit. Ther. Res. 2010, 34, 544–553. [Google Scholar] [CrossRef] [Green Version]
  50. Mercer, L.; Becerra, R. A Unique Emotional Processing Profile of Euthymic Bipolar Disorder? A Critical Review. J. Affect. Disord. 2013, 146, 295–309. [Google Scholar] [CrossRef]
  51. Zucker, K.J.; Wood, H.; VanderLaan, D.P. Models of Psychopathology in Children and Adolescents with Gender Dysphoria. In Gender Dysphoria and Disorders of Sex Development: Progress in Care and Knowledge; Focus on sexuality research; Springer Science + Business Media: New York, NY, USA, 2014; pp. 171–192. ISBN 978-1-4614-7440-1. [Google Scholar]
  52. Sisk, L.M.; Gee, D.G. Stress and Adolescence: Vulnerability and Opportunity during a Sensitive Window of Development. Curr. Opin. Psychol. 2021, 44, 286–292. [Google Scholar] [CrossRef]
  53. Ahmed, S.P.; Bittencourt-Hewitt, A.; Sebastian, C.L. Neurocognitive Bases of Emotion Regulation Development in Adolescence. Dev. Cogn. Neurosci. 2015, 15, 11–25. [Google Scholar] [CrossRef] [Green Version]
  54. Steensma, T.D.; McGuire, J.K.; Kreukels, B.P.C.; Beekman, A.J.; Cohen-Kettenis, P.T. Factors Associated with Desistence and Persistence of Childhood Gender Dysphoria: A Quantitative Follow-up Study. J. Am. Acad. Child. Adolesc. Psychiatry 2013, 52, 582–590. [Google Scholar] [CrossRef]
  55. MacMullin, L.N.; Bokeloh, L.M.; Nabbijohn, A.N.; Santarossa, A.; van der Miesen, A.I.R.; Peragine, D.E.; VanderLaan, D.P. Examining the Relation Between Gender Nonconformity and Psychological Well-Being in Children: The Roles of Peers and Parents. Arch. Sex Behav. 2021, 50, 823–841. [Google Scholar] [CrossRef]
  56. Van de Grift, T.C.; Cohen-Kettenis, P.T.; Steensma, T.D.; De Cuypere, G.; Richter-Appelt, H.; Haraldsen, I.R.H.; Dikmans, R.E.G.; Cerwenka, S.C.; Kreukels, B.P.C. Body Satisfaction and Physical Appearance in Gender Dysphoria. Arch. Sex Behav. 2016, 45, 575–585. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Van de Grift, T.C.; Cohen-Kettenis, P.T.; de Vries, A.L.C.; Kreukels, B.P.C. Body Image and Self-Esteem in Disorders of Sex Development: A European Multicenter Study. Health Psychol. 2018, 37, 334–343. [Google Scholar] [CrossRef] [PubMed]
  58. Glidden, D.; Bouman, W.P.; Jones, B.A.; Arcelus, J. Gender Dysphoria and Autism Spectrum Disorder: A Systematic Review of the Literature. Sex Med. Rev. 2016, 4, 3–14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Table 1. Clinical features for GD sample.
Table 1. Clinical features for GD sample.
Gender Dysphoria Clinical Sample
Age of the SR request
(mean ± S.D.)15.6 ± 1.6
Gender
Male-assigned at birth (MtoF) n (%)7 (23.33%)
Female-assigned at birth (FtoM) n (%)23(76.67%)
Neurodevelopmental disorders historyn (%) 7 (23.33%)
Bullying sufferedn (%) 7 (23.33%)
GD onset
Childhood onset n (%)17 (56.67%)
Adolescent onset n (%)13 (43.33%)
NSSI and Suicidal behavior
NSSI behavior n (%)14 (46.67%)
Suicidal ideation n (%)19 (63.33%)
Suicidal acting n (%)4 (13.33%)
Psychopathological symptoms history
Anxiety n (%)22 (73.33%)
Depression n (%)27 (90%)
Socially withdrawn n (%)21 (70%)
Substance abuse n (%)3 (10%)
Eating disorders n (%)11 (36.67%)
Sleep disorders n (%)16 (53.33%)
Attention deficit n (%)18 (60%)
Previous psychotherapyn (%) 16 (53.33%)
Table 2. Mann–Whitney comparison of SAFA, BIS, and DERS scales between GD sample and cisgender volunteers.
Table 2. Mann–Whitney comparison of SAFA, BIS, and DERS scales between GD sample and cisgender volunteers.
GD Sample
n = 30
Cisgender Volunteers
n = 30
mRank-AvmRank-AvUp Values
SAFA
SAFA-A55.7719.6034.4041.40777.000<0.001
SAFA-D66.5018.7248.6042.28803.500<0.001
SAFA-O53.3029.0250.5031.98494.5000.510
SAFA-P55.4327.8251.5033.18530.5000.232
SAFA-S58.9020.4346.9740.57752.000<0.001
BIS
BIS-C17.0325.1420.1024.33265.0000.006
BIS-T17.8024.9219.7728.10378.0000.285
BIS-P19.8326.5024.5722.52210.500<0.001
BIS-I14.4319.0626.2016.9844.500<0.001
DERS
DERS-TOT106.3722.1778.6738.83700.000<0.001
D-Non-Accept15.2026.0211.4734.98584.5000.046
D-Goals19.4323.3714.8037.63664.0000.002
D-Impulse15.8027.9713.5033.03526.0000.259
D-Awareness16.9026.2713.6734.73577.0000.06
D-Strategies24.0321.3815.9739.62723.500<0.001
D-Clarity15.0320.839.2340.17740.000<0.001
Values are shown as means and rank-average. Bold font is indicative of p < 0.05.
Table 3. Spearman’s correlations between DERS total and subscales and BIS domains among GD sample.
Table 3. Spearman’s correlations between DERS total and subscales and BIS domains among GD sample.
BIS-CBIS-PBIS-TBIS-I
D-TOTrs
Sig. (2-tails)
−0.281
0.132
−0.530 **
0.003
−0.141
0.459
−0.118
0.533
D-Non-Acceptrs
Sig. (2-tails)
−0.057
0.765
−0.350
0.058
−0.174
0.357
−0.027
0.886
D-Goalsrs
Sig. (2-tails)
−0.201
0.286
−0.113
0.553
0.015
0.936
0.000
0.999
D-Impulsers
Sig. (2-tails)
0.096
0.616
−0.285
0.126
0.207
0.273
−0.057
0.764
D-Awarenessrs
Sig. (2-tails)
−0.352
0.056
−0.389 *
0.034
−0.358
0.052
−0.302
0.104
D-Strategyrs
Sig. (2-tails)
−0.199
0.292
−0.510 **
0.004
−0.139
0.465
0.000
1.000
D-Clarityrs
Sig. (2-tails)
−0.545 **
0.002
−0.498 **
0.005
−0.210
0.265
−0.250
0.182
Bold fonts are indicative of significance. * corresponds to p < 0.05, ** correspond to p < 0.01.
Table 4. Univariate logistic binary regression’s results for each SAFA scale as dependent variable and DERS-TOT and BIS domains as independent variables: A. gender dysphoria sample; B. cisgender volunteers.
Table 4. Univariate logistic binary regression’s results for each SAFA scale as dependent variable and DERS-TOT and BIS domains as independent variables: A. gender dysphoria sample; B. cisgender volunteers.
A
GD Sample
SAFA-A (cut-off > 60: n = 13)
BS.E.WaldglSign.Exp(B)C.I. Inf.C.I. Sup
DERS-TOT0.0360.0174.52310.0331.0371.0031.072
Constant−4.2141.9334.75310.0290.015
BIS-C−0.0560.0940.35210.5530.9460.7871.137
Constant0.6771.6310.17210.6781.968
BIS-T−0.0020.0660.06610.0660.9980.8771.136
Constant−0.2371.2280.03710.8470.789
BIS-P−0.1240.0822.32210.1280.8830.7531.036
Constant2.1881.6611.73510.1888.92
BIS-I0.0220.0960.05110.8211.0220.8471.232
Constant−0.5801.4310.16410.6850.56
SAFA-D (cut-off > 60: n = 21)
BS.E.WaldglSign.Exp(B)C.I. Inf.C.I. Sup
DERS-TOT0.0570.0226.89110.0091.0591.0151.105
Constant−4.8552.1285.20310.0230.008
BIS-C−0.1280.1121.3210.2510.880.7071.095
Constant3.0862.0342.30310.12921.895
BIS-T−0.0090.0710.01610.8980.9910.8621.14
Constant1.0111.3390.5710.452.747
BIS-P−0.7390.2787.0710.0080.4780.2770.823
Constant17.0776.3367.26510.0072.610 × 107
BIS-I−0.0540.1040.27510.60.9470.7731.161
Constant1.6411.5831.07510.35.162
SAFA-O (cut-off > 60: n = 9)
BS.E.WaldglSign.Exp(B)C.I. Inf.C.I. Sup
DERS-TOT0.0510.0235.10410.0241.0521.0071.1
Constant−6.6352.7185.9610.0150.001
BIS-C0.0170.1010.02910.8651.0170.8351.24
Constant−1.1421.7770.41310.5210.319
BIS-T0.0670.0740.81210.3681.0690.9241.236
Constant−2.0651.442.05810.1510.127
BIS-P−0.0460.0780.34810.5550.9550.8211.112
Constant0.051.5580.00110.9751.051
BIS-I0.110.1071.05210.3051.1160.9051.376
Constant−2.4661.6612.20510.1380.085
SAFA-P (cut-off > 60: n = 12)
BS.E.WaldglSign.Exp(B)C.I. Inf.C.I. Sup
DERS-TOT0.0670.0266.89810.0091.0691.0171.124
Constant−7.8652.9727.00410.0080
BIS-C−0.1740.1062.70410.10.840.6821.034
Constant2.5291.8131.94610.16312.538
BIS-T−0.0570.0680.69310.4050.9450.8271.08
Constant0.5941.2480.22710.6341.812
BIS-P−0.2230.1014.86910.0270.80.6560.975
Constant3.9822.0443.79510.05153.64
BIS-I−0.0110.0970.01310.9080.9890.8181.195
Constant−0.2441.440.02910.8650.783
SAFA-S (cut-off > 60: n = 12)
BS.E.WaldglSign.Exp(B)C.I. Inf.C.I. Sup
DERS-TOT0.0460.0195.49210.0191.0471.0071.087
Constant−5.4072.2355.85210.0160.004
BIS-C0.0410.0950.18510.6671.0420.8641.256
Constant−1.1071.6790.43510.510.331
BIS-T0.0240.0670.12910.7191.0240.8981.168
Constant−0.8361.2590.4410.5070.434
BIS-P−0.1010.0781.66510.1970.9040.7761.054
Constant1.5781.5790.99810.3184.843
BIS-I0.0730.0980.55810.4551.0760.8881.305
Constant−1.4731.4870.98110.3220.229
B
Cisgender Volunteers
SAFA-A (cut-off > 60: n = 3)
BS.E.WaldglSign.Exp(B)C.I. Inf.C.I. Sup
DERS-TOT0.040.031.7410.1871.040.9811.104
Constant−5.5602.7993.94510.0470.004
BIS-C−0.1140.1650.47610.490.8920.6461.233
Constant0.0183.167010.9951.018
BIS-T0.0350.1430.0610.8071.0350.7831.369
Constant−2.8952.9540.9610.3270.055
BIS-P−0.2480.1742.0310.1540.7810.5551.098
Constant3.5343.8480.84310.35834.276
BIS-I0.1620.1521.13210.2871.1760.8731.584
Constant−6.6884.4612.24810.1340.001
SAFA-D (cut-off > 60: n = 2)
BS.E.WaldglSign.Exp(B)C.I. Inf.C.I. Sup
DERS-TOT0.0280.0350.65110.421.0280.9611.101
Constant−4.9803.1612.48210.1150.007
BIS-C−0.7580.4712.59310.1070.4690.1861.179
Constant10.1737.3421.9210.16626,191.43
BIS-T0.0140.1720.00710.9361.0140.7241.421
Constant−2.9153.5180.68710.4070.054
BIS-P−1.2420.8612.08110.1490.2890.0531.561
Constant22.32816.1611.90910.1674.975 × 109
BIS-I−0.0630.1330.22410.6360.9390.7231.219
Constant−1.0353.3650.09510.7580.355
SAFA-O (cut-off > 60: n = 3)
BS.E.WaldglSign.Exp(B)C.I. Inf.C.I. Sup
DERS-TOT0.1620.0883.36710.0671.1760.9891.398
Constant−17.7289.1093.78710.0520
BIS-C−0.0340.1620.04510.8320.9660.7031.327
Constant−1.5143.2520.21710.6420.22
BIS-T−0.0480.1460.10910.7410.9530.7151.269
Constant−1.2582.8580.19410.660.284
BIS-P−0.3140.192.72210.0990.7310.5031.061
Constant4.9534.0991.4610.227141.627
BIS-I−0.0210.1140.03510.8520.9790.7821.225
Constant−1.6433.0050.29910.5850.193
SAFA-P (cut-off > 60: n = 2)
BS.E.WaldglSign.Exp(B)C.I. Inf.C.I. Sup
DERS-TOT0.0620.0392.48510.1151.0640.9851.15
Constant−8.1913.9874.22110.040
BIS-C−0.7580.4712.59310.1070.4690.1861.179
Constant10.1737.3421.9210.16626,191.43
BIS-T0.0140.1720.00710.9361.0140.7241.421
Constant−2.9153.5180.68710.4070.054
BIS-P−0.8180.5052.61710.1060.4410.1641.189
Constant14.349.6272.21910.136########
BIS-I−0.1340.1340.99510.3190.8750.6731.138
Constant0.6423.1580.04110.8391.9
SAFA-S (cut-off > 60: n = 2)
BS.E.WaldglSign.Exp(B)C.I. Inf.C.I. Sup
DERS-TOT0.0280.0350.65110.421.0280.9611.101
Constant−4.9803.1612.48210.1150.007
BIS-C−0.7580.4712.59310.1070.4690.1861.179
Constant10.1737.3421.9210.16626,191.43
BIS-T0.0140.1720.00710.9361.0140.7241.421
Constant−2.9153.5180.68710.4070.054
BIS-P−1.2420.8612.08110.1490.2890.0531.561
Constant22.32816.1611.90910.1674.975 × 109
BIS-I−0.0630.1330.22410.6360.9390.7231.219
Constant−1.0353.3650.09510.7580.355
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Petruzzelli, M.G.; Margari, L.; Furente, F.; Marzulli, L.; Piarulli, F.M.; Margari, A.; Ivagnes, S.; Lavorato, E.; Matera, E. Body Emotional Investment and Emotion Dysregulation in a Sample of Adolescents with Gender Dysphoria Seeking Sex Reassignment. J. Clin. Med. 2022, 11, 3314. https://doi.org/10.3390/jcm11123314

AMA Style

Petruzzelli MG, Margari L, Furente F, Marzulli L, Piarulli FM, Margari A, Ivagnes S, Lavorato E, Matera E. Body Emotional Investment and Emotion Dysregulation in a Sample of Adolescents with Gender Dysphoria Seeking Sex Reassignment. Journal of Clinical Medicine. 2022; 11(12):3314. https://doi.org/10.3390/jcm11123314

Chicago/Turabian Style

Petruzzelli, Maria Giuseppina, Lucia Margari, Flora Furente, Lucia Marzulli, Francesco Maria Piarulli, Anna Margari, Sara Ivagnes, Elisabetta Lavorato, and Emilia Matera. 2022. "Body Emotional Investment and Emotion Dysregulation in a Sample of Adolescents with Gender Dysphoria Seeking Sex Reassignment" Journal of Clinical Medicine 11, no. 12: 3314. https://doi.org/10.3390/jcm11123314

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