Skip to main content
Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Anxiety and depression in Klinefelter syndrome: The impact of personality and social engagement

  • Anne Skakkebæk ,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft

    Affiliations Department of Endocrinology and Internal Medicine (MEA), Aarhus University Hospital, Aarhus, Denmark, Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark

  • Philip J. Moore,

    Roles Methodology, Supervision, Writing – review & editing

    Affiliation Department of Psychology, The George Washington University, Washington DC, United States of America

  • Anders Degn Pedersen,

    Roles Supervision, Writing – review & editing

    Affiliation Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark

  • Anders Bojesen,

    Roles Supervision, Writing – review & editing

    Affiliation Department of Clinical Genetics, Sygehus Lillebaelt, Vejle, Denmark

  • Maria Krarup Kristensen,

    Roles Supervision, Writing – review & editing

    Affiliation Department of Mental Health, Odense University Clinic, Odense, Denmark

  • Jens Fedder,

    Roles Supervision, Writing – review & editing

    Affiliation Centre of Andrology and Fertility Clinic, Department D, Odense University Hospital, Odense, Denmark

  • Jens Michael Hertz,

    Roles Supervision, Writing – review & editing

    Affiliation Department of Clinical Genetics, Odense University Hospital, Odense, Denmark

  • John R. Østergaard,

    Roles Supervision, Writing – review & editing

    Affiliation Centre for Rare Diseases, Department of Child and Adolescent Medicine, Aarhus University Hospital, Aarhus, Denmark

  • Mikkel Wallentin,

    Roles Supervision, Writing – review & editing

    Affiliations Department of Linguistics, Cognitive Science and Semiotics, Aarhus University, Aarhus, Denmark, Center of Functionally Integrative Neuroscience, Aarhus University Hospital, Aarhus, Denmark

  • Claus Højbjerg Gravholt

    Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliations Department of Endocrinology and Internal Medicine (MEA), Aarhus University Hospital, Aarhus, Denmark, Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark


Klinefelter syndrome (KS) (47, XXY) is the most common sex chromosome disorder, with a prevalence of 1 in every 660 newborn males. Despite the profound adverse effects of anxiety and depression, and their greater prevalence in KS populations, no research has been conducted to date to identify the determinants of anxiety and depression among patients with KS. We examined the relationships between personality traits, social engagement, and anxiety and depression symptoms among KS patients (n = 69) and a group of male controls (n = 69) matched for age and years of education. KS patients experienced more anxiety and depression symptoms than control participants. Neuroticism was the strongest and most consistent mediator between KS and both anxiety and depression symptoms. This research suggests that neuroticism may play a central role in attention switching, anxiety and depression among patients with Klinefelter syndrome. The central role of neuroticism suggests that it may be used to help identify and treat KS patients at particularly high-risk for attention-switching deficits, anxiety and depression.


Klinefelter syndrome (KS) (47, XXY) is the most common sex chromosome disorder, with a prevalence of 1 in every 660 newborn males [1;2]. KS is associated with a wide spectrum of comorbidities, including an increased risk of a broad range of mental disorders [35]. KS patients are more than three times more likely than the general population to be hospitalized with a psychiatric disorder, with a hazard ratio of 3.65 [6]. Two of the most prevalent and debilitating affective symptoms among KS patients are anxiety and depression. Approximately 18% of KS [4] suffer from generalized anxiety. In addition, rates of clinical depression among KS range from 19 to 24% [3;4], with more than two-thirds (68%) of KS patients reporting depressive symptoms[7]. However, despite the profound adverse effects of anxiety and depression, as well as their greater prevalence in KS populations, no research has been conducted to date to identify the predictors of anxiety and depression among patients with KS. Learning about these associations is important for a better understanding of KS patients’ mental health, as well as for improving the effectiveness of interventions to reduce anxiety and depression among those with KS [8].

Personality traits represent an important group of potential predictors of KS patients’ anxiety and/or depression, as they develop early in life, they are stable over time, and they have been linked to various forms of psychopathology [914]. Increased neuroticism in the general population is associated with generalized anxiety disorder (GAD) and major depressive disorder (MDD), while conscientiousness and extraversion are both negatively correlated with both GAD and MDD (although the link between extraversion and MDD is less consistent) [13]. In other studies, personality traits have been used to identify individuals at risk for onset of mental illness [1517], supporting the vulnerability model of psychopathology, which hypothesizes that personality traits contribute significantly to the development of psychiatric disorders[18;19]. Previously, we showed that KS is associated with higher levels of neuroticism and lower levels of extraversion, conscientiousness, and openness to experience [20]. However, the question of whether these KS personality profiles make KS patients more vulnerable to psychopathology–particularly anxiety and depression–has yet to be addressed.

In addition to personality traits, social engagement has also been proposed as an important factor in relation to psychopathology [2124]. Social engagement reflects an individual’s general social skills and experiences, including interpersonal attention and communication. The relationship between social skills and interpersonal relations have been well-documented [25;26], as has the link between interpersonal relations and psychopathology [2730]. Moreover, positive relations with others have been found to mediate the association between social skills and psychopathology [22]. Deficits in social engagement is characteristic of patients with KS, including deficits in attention switching, imagination, communication and general social skills[20;31], which may help explain KS patients’ increased risk of mental illness in general, and anxiety and depression in particular.

To address these issues, we examined the relationships between personality traits, social engagement, and anxiety & depression symptoms among KS patients and a group of male controls matched for age and years of education. Both zero-order and path analyses were performed to identify direct and indirect relationships between these study variables.

Materials and methods


Patients with verified KS were recruited from endocrinology, genetics and fertility clinics in Denmark. Participants included 69 KS patients with 47,XXY karyotype, with a mean age of 36.4 years (SD = 10.0), and an average of 12.6 years (SD = 2.35) of formal education. At the time of participation, 48 (70%) of the patients with KS were receiving testosterone, and 21 (30%) were not. Fourteen of these 21 KS patients had never received testosterone treatment, while 6 had been treated with testosterone in the past (ranging from 6 month-7.3 years, with an average of 32.5 months). One patient with KS reported being treated with testosterone for an unspecified period in the past.

In addition, 69 matched male controls—with a mean age of 36.4 years (SD = 9.6) and an average of 12.8 years (SD = 2.21) of formal education—were recruited through advertisement in local hospitals, newspapers, fire departments, and other civil service offices. There were no significant differences between KS and control participants in either age or education level (ps >.84). Inclusion criteria required that participants be between the ages of 18 and 60, and exclusion criteria included a history of substance use, and neurological disease or head injury more severe than simple concussion. All participants received oral and written information about the requirements of the study before written consent was obtained, and informed consent was obtained before participation was initiated. The study was approved by The Danish Data Protection Agency and local ethics committee (Region Midtjylland, Denmark number M-20080238) and registered at (Clinical trial NCT00999310). Certain neuropsychological data from this research has been presented previously to address separate research questions [20;32;33].



Personality traits were assessed using the Revised NEO Personality Inventory (NEO PI-R) short form[34]. This form includes measures of neuroticism (12 items), extraversion (12 items), agreeableness (12 items), conscientiousness (12 items), and openness to experience (12 items). For all items, participants indicated how well each statement described them on a scale form 1 (“very inaccurate”) to 5 (“very accurate”). Items responses within each personality measure were combined to create five personality scores for each participant. Cronbach´s alphas for these personality traits range from 0.70–0.90.

Social engagement.

Social engagement was assessed using the Autism Spectrum Quotient (AQ) [35]. This questionnaire includes measures of attention to detail (10 items), attention switching (10 items), imagination (10 items), communication (10 items), and general social skills (10 items). For all items, participants indicated how well each statement described them on a scale from 1 (“definitely disagree”) to 4 (“definitely agree”). Negative worded items were reverse coded, so that higher scores for each item reflected more of each social engagement measure. Item responses within each measure were then combined to create five social engagement scores for each participant. Cronbach´s alphas in the current study for these social engagement measures ranged from 0.61 to 0.74.

Anxiety and depression.

Symptoms of anxiety and depression were assessed using the anxiety (SLC-ANX) and depression (SLC-DEP) subscales of the Symptom Checklist (SLC-90)[36;37]. The SCL-ANX subscale is composed of the four items (i.e., “worrying too much”;”suddenly scared for no reason”; “nervousness or shakiness inside”; and “panic”), while the SCL-DEP is composed of six items (i.e., “feeling sad”; “feeling worthless”; “blaming yourself for things”; “feeling lonely”; “a feeling of being trapped”; and “suicidal thoughts”). Participants indicated how well each statement described them on a scale from 0 (“Not at all”) to 4 (“very much”). Item responses within the SCL-ANX were combined to create an overall anxiety-symptom score, and responses within the SLC-DEP were combined to create an overall depression-symptom score for each participant. Cronbach´s alphas for the SCL-ANX and SCL-DEP were 0.80 and 0.85, respectively.


Testosterone levels for all participants were measured by liquid chromatography tandem mass spectrometry, using Perkin Elmer´s CHS steroid MS kit. The lower limit of detection was 0.1nmol/L and the working range 0.2-100nmol/L.


In preliminary analyses, KS patients were first compared with controls in terms of testosterone, personality, social engagement, and anxiety and depression symptoms. Bivariate relationships were then calculated between the continuous study measures. In the primary analyses, two sets of three regressions—one set for anxiety, and one for depression—were conducted in which each of these two dependent measures (anxiety and depression) was regressed simultaneously on 1) personality traits, 2) social engagement measures, and 3) testosterone status, while controlling for KS status. Finally, a path analysis was conducted which included both anxiety and depression, as well as their respective bivariate predictors. Because path analysis is the functional equivalent of a series of multiple regressions in which each variable in the model is successively regressed on the other variables, it controls for multicollinearity and indicates the independent relationship between each of the factors in the model. As with the preceding regression analyses, variables in the path model were entered simultaneously—rather than hierarchically—and statistically significant relationships were included in the final path model, while non-significant associations were not.

Continuous data were tested for normality using Kolmogorov-Smirnov test, and those with distributions of Dα > 0.23 were considered non-normal, and were normalized using a loglinear (ln+1) transformation. Differences between groups were analyzed with parametric Student´s t-test for normally distributed data. Otherwise, data were analyzed using the Mann–Whitney–Wilcoxon test. Chi-Square tests were used for nominal variables. P-values lower than 0.05 were considered significant. SPSS version 19.0 (SPSS Inc., Chicago, Ill., USA) was used for statistical data analysis.


Bivariate analyses

KS vs. controls.

KS patients exhibited significantly higher neuroticism than controls, as well as significantly lower extraversion, openness to experience, and conscientiousness (Table 1). KS and controls did not differ in agreeableness. No differences were seen between KS patients treated with testosterone and untreated KS patients.

Table 1. KS patients vs. controls in terms of testosterone levels, personality, social engagement, anxiety and depression.

KS patients scored significantly lower than controls on attention switching, imagination, communication, and social skills. However, KS patients and controls did not differ in attention-to-detail, nor did KS patients treated with testosterone differ in social engagement from untreated KS patients.

KS patients reported significantly more anxiety and depression symptoms than controls, although there were no differences between KS patients treated with testosterone and those who were not.

KS patients had a significantly higher levels of testosterone than controls, reflecting the fact that the majority of these KS participants were receiving high doses of exogenous testosterone. Similarly, testosterone levels among KS patients receiving testosterone therapy were significantly higher than those not receiving this therapy.

Associations between non-KS variables.

In addition to being related with each other, less neuroticism and more extraversion, conscientiousness, communication, attention switching and social skills were all associated with fewer anxiety and depression symptoms (Table 2). No significant differences were found between KS and controls in terms of either agreeableness or attention to detail (ps >.33). In addition, neither openness to experience nor imagination were associated with symptoms of anxiety or depression. Thus, these five variables were not included in subsequent multivariate analyses.

Table 2. Correlations between testosterone, personality traits, social engagement skills, anxiety and depression.

Multivariate analyses

Multiple regressions.

When KS status and personality measures (i.e., neuroticism, extraversion, and conscientiousness) were combined to predict anxiety symptoms, the overall model was significant (R2 = .30, p<0.001), but neuroticism was the only significant individual predictor (Table 3). When anxiety was regressed on KS status and social engagement (i.e., social skills, communication and attention switching), the full model was again significant (R2 = .23, p < .001), with both KS status and attention switching emerging as significant predictors (ps<0.05). When KS status and testosterone levels were combined to predict anxiety, the full model was again significant (R2 = .09, p < .01), but this was attributable solely to the impact of KS status.

As shown in Table 4, KS status and personality measures (i.e., neuroticism, extraversion, and conscientiousness) combined to significantly predict depression symptoms (R2 = .36, p < .001), with neuroticism emerging as the lone significant predictor (p<0.001). Depression was also predicted by KS status and social engagement (i.e., social skills, communication, attention switching) (R2 = .22, p < .001), with attention switching as the significant predictor (p < .001). When combining KS status and testosterone status, the overall model was significant (R2 = .06, p = .014), but this was attributable to the impact of KS status (p = .01).

Path analysis.

When the significant personality and social-engagement predictors were combined with both anxiety and depression symptoms in an overall path analysis, neuroticism fully mediated the impact of KS status on both anxiety and depression (ps < .05), as seen in Fig 1. Neuroticism also mediated the effect of KS status on attention switching (ps < .01), which was not directly related to either anxiety or depression symptoms. The p-values of the non-significant associations ranged from .169 to .950.

Fig 1. Path models of memory anxiety and depression with β standard coefficients and p-values.


This research examined the influence of personality, social engagement and testosterone treatment on anxiety and depression levels among KS patients. Although many of these measures were significant bivariate predictors of anxiety and depression symptoms, subsequent regressions indicated that only neuroticism and attention switching helped to explain the effect of KS on these indices of mental health. Finally, a combined path analysis found that KS increased both anxiety and depression symptoms through greater neuroticism.

These results are consistent with previous studies that have found more anxiety and depressive symptoms among patients with KS [3;4;7], but this is the first study to assess the possible underlying mechanism for these effects. Further, these findings indicate that, among the current study variables, neuroticism is the strongest (and only significant) mediating link between KS and both anxiety and depression. Neuroticism has also been found to be the strongest personality predictor of anxiety and depression in the general population [3840], including the onset and developmental course of both anxiety-related attention deficit disorder and major depressive disorder [4143]. Taken together, these results suggest that neuroticism has an impact across populations and levels of anxiety and depression.

In this research, higher levels of neuroticism also mediated KS patients’ deficits in attention switching. Attention switching is related to control processes of cognition such as perception, initiation, inhibition, and executive function[44;45]. As such, it is integral to the successful performance of activities involving multiple cognitive inputs, including decision-making, physical activity and social engagement, all of which have significant implications for personal, social and professional well-being. Although associated at the bivariate and regression analyses, attention switching was not related to anxiety or depression in the current path analysis. It could be that be that the earlier links between attention switching and anxiety and depression are attributable to other factors—most notably, neuroticism. Alternatively, it is possible that, with a larger sample size, these and other paths—both direct and indirect—may emerge.

The current results also have a number of practical implications for interventions to improve the well-being of individuals with KS. First, the central role of neuroticism suggests that it may be useful as a marker to identify KS patients at particularly high-risk for anxiety, depression and attention-switching problems, who would benefit most from assistance in these areas. A second possibility is suggested by studies finding that neuroticism levels can be raised or lowered through experience and/or training [46]. These results suggest that although neuroticism is developed early and is generally stable over time, it may nonetheless be mutable. If so, it may also be possible to improve mental health and other outcomes among KS patients (and perhaps the broader population) by reducing the neuroticism that influences them.

We did not find any influence of testosterone treatment on anxiety and depression levels among KS patients, which is in contrast with meta-analyses showing a positive impact of testosterone treatment on depressive symptoms in non-KS hypogonadal men from the general population [4749]. The reason for this ´missing´ effect of testosterone treatment in KS seen in our study is not clear. Further prospective and longitudinal research is needed to address the influence of both hypogonadism and testosterone therapy on anxiety and depression among KS.

The limitations of this study include the cross-sectional nature of the research design. Although it takes advantage of the early development of personality—and even earlier onset of KS—it cannot determine the directionality or causal relationships between the study variables. Future longitudinal and experimental research will be useful to confirm the directionality of these effects, as well as their effectiveness in enhancing the well-being of KS patients, and perhaps other at-risk populations.

Another limitation of this study is that we did not assess socioeconomic variables. KS is associated with lower socioeconomic status—including lower educational and income, earlier retirement and fewer partnerships [50]—which in turn is related to higher levels of mental illness, including anxiety and depression [51;52]. Other socioeconomic-related factors that may also impact mental health—and help explain KS-related deficits—include low self-esteem, social support and psychological stress[53; 54]. Future research incorporating these factors among KS patients may further illuminate the mechanism for the increased prevalence of anxiety and depression among these patients.

As the first study to assess the influence of personality traits and social engagement on anxiety and depression among KS patients, this research suggests that personality, particularly neuroticism, plays a central role in attention switching and both measures of mental health. Future studies with larger sample sizes, longitudinal and experimental designs, and additional factors may help address many of the remaining questions, and further our understanding of KS-related deficits, and in turn, improve these and other important health outcomes.


We would like to thank Eva Schriver, Merete Møller, Dorte Wulff, Susanne Sørensen, Lone Kvist for their technical assistance. This study was supported by grants from the Lundbeck Foundation, Augustinus Foundation, Aase og Einar Danielsen Foundation and University of Aarhus.


  1. 1. Bojesen A, Juul S, Gravholt CH. Prenatal and postnatal prevalence of Klinefelter syndrome: a national registry study. J Clin Endocrinol Metab 2003 Feb;88(2):622–6. pmid:12574191
  2. 2. Nielsen J, Wohlert M. Sex chromosome abnormalities found among 34,910 newborn children: results from a 13-year incidence study in Arhus, Denmark. Birth Defects Orig Artic Ser 1990;26(4):209–23. pmid:2090319
  3. 3. Boks MP, de Vette MH, Sommer IE, van RS, Giltay JC, Swaab H, et al. Psychiatric morbidity and X-chromosomal origin in a Klinefelter sample. Schizophr Res 2007 Jul;93(1–3):399–402. pmid:17459660
  4. 4. Bruining H, Swaab H, Kas M, van EH. Psychiatric characteristics in a self-selected sample of boys with Klinefelter syndrome. Pediatrics 2009 May;123(5):e865–e870. pmid:19364768
  5. 5. Tartaglia NR, Ayari N, Hutaff-Lee C, Boada R. Attention-Deficit Hyperactivity Disorder Symptoms in Children and Adolescents with Sex Chromosome Aneuploidy: XXY, XXX, XYY, and XXYY. J Dev Behav Pediatr 2012 Feb 13.
  6. 6. Bojesen A, Juul S, Birkebaek NH, Gravholt CH. Morbidity in Klinefelter syndrome: a Danish register study based on hospital discharge diagnoses. J Clin Endocrinol Metab 2006 Apr;91(4):1254–60. pmid:16394093
  7. 7. Turriff A, Levy HP, Biesecker B. Prevalence and psychosocial correlates of depressive symptoms among adolescents and adults with Klinefelter syndrome. Genet Med 2011 Nov;13(11):966–72. pmid:21799429
  8. 8. Gravholt CH, Chang S, Wallentin M, Fedder J, Moore P, Skakkebaek A. Klinefelter syndrome—integrating genetics, neuropsychology and endocrinology. Endocr Rev 2018 Feb 9.
  9. 9. Kupper N, Boomsma DI, de Geus EJ, Denollet J, Willemsen G. Nine-year stability of type D personality: contributions of genes and environment. Psychosom Med 2011 Jan;73(1):75–82. pmid:20947779
  10. 10. Rantanen J, Metsapelto RL, Feldt T, Pulkkinen L, Kokko K. Long-term stability in the Big Five personality traits in adulthood. Scand J Psychol 2007 Dec;48(6):511–8. pmid:18028073
  11. 11. Hampson SE, Goldberg LR. A first large cohort study of personality trait stability over the 40 years between elementary school and midlife. J Pers Soc Psychol 2006 Oct;91(4):763–79. pmid:17014298
  12. 12. Costa PT Jr., McCrae RR, Zonderman AB, Barbano HE, Lebowitz B, Larson DM. Cross-sectional studies of personality in a national sample: 2. Stability in neuroticism, extraversion, and openness. Psychol Aging 1986 Jun;1(2):144–9. pmid:3267391
  13. 13. Kotov R, Gamez W, Schmidt F, Watson D. Linking "big" personality traits to anxiety, depressive, and substance use disorders: a meta-analysis. Psychol Bull 2010 Sep;136(5):768–821. pmid:20804236
  14. 14. Klein DN, Kotov R, Bufferd SJ. Personality and depression: explanatory models and review of the evidence. Annu Rev Clin Psychol 2011;7:269–95. pmid:21166535
  15. 15. Smit F, Beekman A, Cuijpers P, De GR, Vollebergh W. Selecting key variables for depression prevention: results from a population-based prospective epidemiological study. J Affect Disord 2004 Sep;81(3):241–9. pmid:15337328
  16. 16. Tokuyama M, Nakao K, Seto M, Watanabe A, Takeda M. Predictors of first-onset major depressive episodes among white-collar workers. Psychiatry Clin Neurosci 2003 Oct;57(5):523–31. pmid:12950708
  17. 17. Verkerk GJ, Denollet J, Van Heck GL, Van Son MJ, Pop VJ. Personality factors as determinants of depression in postpartum women: a prospective 1-year follow-up study. Psychosom Med 2005 Jul;67(4):632–7. pmid:16046379
  18. 18. Krueger RF, Tackett JL. Personality and psychopathology: working toward the bigger picture. J Pers Disord 2003 Apr;17(2):109–28. pmid:12755325
  19. 19. Klein MH, Wonderlich S, Shea MT. Models of relationships between personality and depression: towards a framework for theory and research. In: Klein MH, Kupfer DJ, Shea TM, editors. Personality and Depression: A Current View.New York: Guilford; 1993. p. 1–54.
  20. 20. Skakkebaek A, Gravholt CH, Rasmussen PM, Bojesen A, Jensen JS, Fedder J, et al. Neuroanatomical correlates of Klinefelter syndrome studied in relation to the neuropsychological profile. Neuroimage Clin 2013;4:1–9. pmid:24266006
  21. 21. Segrin C. Social skills deficits associated with depression. Clin Psychol Rev 2000 Apr;20(3):379–403. pmid:10779900
  22. 22. Segrin C, Rynes KN. The mediating role of positive relations with others in associations between depressive symptoms, social skills, and perceived stress. Journal of Research in Personality 2009;43:962–71.
  23. 23. Lewinsohn PM. A behavioral approach to depression. In: Friedman RJ, Katz MM, editors. The psychology of depression: Contemporary theory and research.Washinton, D.C: Winston-Wiley; 1974. p. 157–85.
  24. 24. Lewinsohn PM, Hoberman H, Teri L, Hautzinger M. An integrative theory of depression. In: Reis S, Bootzin RR, editors. Theoretical issues in behavior therapy.New York: Academic Press; 1985. p. 331–59.
  25. 25. Lopes PN, Salovey P, Straus R. Emotional intelligence, personality, and the perceived quality of social relationships. Personality and Individual Differences 2003;35(3):641–58.
  26. 26. Segrin C, Taylor M. Positive interpersonal relationships mediate the association between social skills and psychological well-being. Personality and Individual Differences 2007;43(4):637–46.
  27. 27. Baumeister RF, Tice DM. Anxiety and social exclusion. Journal of Social and Clinical Psychology 1990;9:165–95.
  28. 28. Baumeister RF, Leary MR. The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psychological Bullentin 1995;117:497–529.
  29. 29. Cacioppo JT, Ernst JM, Burleson MH, McClintock MK, Malarkey WB, Hawkley LC. Lonely traits and concomitant psychological processes: The MacArthur social neuroscience studies. International Journal of Psychophysiology 2000;35:143–54. pmid:10677643
  30. 30. Hagerty BM, Williams RA, Coyne JC, Early MR. Sence of belonging and indicators of social and psychological functioning. Archeves of Psychiatric Nursing 1996;10:235–44.
  31. 31. van Rijn S, Swaab H, Aleman A, Kahn RS. Social behavior and autism traits in a sex chromosomal disorder: Klinefelter (47XXY) syndrome. J Autism Dev Disord 2008 Oct;38(9):1634–41. pmid:18324463
  32. 32. Skakkebaek A, Bojesen A, Kristensen MK, Cohen A, Hougaard DM, Hertz JM, et al. Neuropsychology and brain morphology in Klinefelter syndrome—the impact of genetics. Andrology 2014 Jul;2(4):632–40. pmid:24865607
  33. 33. Skakkebaek A, Moore PJ, Pedersen AD, Bojesen A, Kristensen MK, Fedder J, et al. The role of genes, intelligence, personality, and social engagement in cognitive performance in Klinefelter syndrome. Brain Behav 2017 Mar;7(3):e00645. pmid:28293480
  34. 34. Costa PT, McCrae RR. Revised NEO Personality Inventory and NEO Five-Factor Inventory. Psychological Assessment Resources, Inc., Odessa, FL; 1992.
  35. 35. Baron-Cohen S, Wheelwright S, Skinner R, Martin J, Clubley E. The autism-spectrum quotient (AQ): evidence from Asperger syndrome/high-functioning autism, males and females, scientists and mathematicians. J Autism Dev Disord 2001 Feb;31(1):5–17. pmid:11439754
  36. 36. Bech P. Rating scales for affektive lidelser: kompendium, Psykiatrisk Forskningsenhed, Psykiatrik sygehus. Frederiksborg amt, Hillerød, Danmark: 2005.
  37. 37. Derogatis LR, Lipman RS, Covi L. SCL-90: an outpatient psychiatric rating scale—preliminary report. Psychopharmacol Bull 1973 Jan;9(1):13–28. pmid:4682398
  38. 38. Boyce P, Parker G, Barnett B, Cooney M, Smith F. Personality as a vulnerability factor to depression. Br J Psychiatry 1991 Jul;159:106–14. pmid:1888956
  39. 39. Duggan C, Sham P, Lee A, Minne C, Murray R. Neuroticism: a vulnerability marker for depression evidence from a family study. J Affect Disord 1995 Dec 13;35(3):139–43. pmid:8749842
  40. 40. Kendler KS, Kuhn J, Prescott CA. The interrelationship of neuroticism, sex, and stressful life events in the prediction of episodes of major depression. Am J Psychiatry 2004 Apr;161(4):631–6. pmid:15056508
  41. 41. Tang TZ, DeRubeis RJ, Hollon SD, Amsterdam J, Shelton R, Schalet B. Personality change during depression treatment: a placebo-controlled trial. Arch Gen Psychiatry 2009 Dec;66(12):1322–30. pmid:19996037
  42. 42. Duggan CF, Lee AS, Murray RM. Does personality predict long-term outcome in depression? Br J Psychiatry 1990 Jul;157:19–24. pmid:2397360
  43. 43. Morris BH, Bylsma LM, Rottenberg J. Does emotion predict the course of major depressive disorder? A review of prospective studies. Br J Clin Psychol 2009 Sep;48(Pt 3):255–73. pmid:19187578
  44. 44. Rubenstein JS, Meyer DE, Evans JE. Executive control of cognitive processes in task switching. Journal of Experimental Psychology: Human Perception and Performance 2001;27:763–97. pmid:11518143
  45. 45. Friedman NP, Miyake A. The relations among inhibition and interference control functions: A latent-variable analysis. Journal of Experimental Psychology: general 2004;133:101–35.
  46. 46. Drake MM, Morris DM, Davis TJ. Neuroticism´s susceptibility to distress: Moderated with mindfulness. Personality and Individual Differences 2018;106:248–52.
  47. 47. Zarrouf FA, Artz S, Griffith J, Sirbu C, Kommor M. Testosterone and depression: systematic review and meta-analysis. J Psychiatr Pract 2009 Jul;15(4):289–305. pmid:19625884
  48. 48. Elliott J, Kelly SE, Millar AC, Peterson J, Chen L, Johnston A, et al. Testosterone therapy in hypogonadal men: a systematic review and network meta-analysis. BMJ Open 2017 Nov 16;7(11):e015284. pmid:29150464
  49. 49. Vartolomei MD, Kimura S, Vartolomei L, Shariat SF. Systematic Review of the Impact of Testosterone Replacement Therapy on Depression in Patients with Late-onset Testosterone Deficiency. Eur Urol Focus 2018 Jul 14.
  50. 50. Bojesen A, Stochholm K, Juul S, Gravholt CH. Socioeconomic trajectories affect mortality in Klinefelter syndrome. J Clin Endocrinol Metab 2011 Jul;96(7):2098–104. pmid:21565794
  51. 51. Zhang L, Xia Y, Zhang Q, Fu T, Yin R, Guo G, et al. The correlations of socioeconomic status, disease activity, quality of life, and depression/anxiety in Chinese patients with rheumatoid arthritis. Psychol Health Med 2017 Jan;22(1):28–36. pmid:27367831
  52. 52. Lorant V, Deliege D, Eaton W, Robert A, Philippot P, Ansseau M. Socioeconomic inequalities in depression: a meta-analysis. Am J Epidemiol 2003 Jan 15;157(2):98–112. pmid:12522017
  53. 53. Skakkebaek A, Moore PJ, Chang S, Fedder J, Gravholt CH. Quality of life in men with Klinefelter syndrome: the impact of genotype, health, socioeconomics, and sexual function. Genet Med 2017 Jul 20.
  54. 54. Herlihy AS, McLachlan RI, Gillam L, Cock ML, Collins V, Halliday JL. The psychosocial impact of Klinefelter syndrome and factors influencing quality of life. Genet Med 2011 Jul;13(7):632–42. pmid:21546843