Sexuel orientation_Auer

Data has been acquired by means of a paper-based questionnaire. Explanation of variable names can be found at the top line of the excel-sheet

Change in Sexual orientation and basic characteristics in FtM.

†<p>student's t-test.</p>§<p>Fisher's exact <i>test</i>.</p><p>SRS: Sex reassignment surgery.</p><p>n.s.: not significant.</p><p>Change in Sexual orientation and basic characteristics in FtM.</p

Change in Sexual orientation and basic characteristics in MtF.

†<p>student's t-test.</p>§<p>Fisher's exact test.</p><p>SRS (Sex reassignment surgery).</p><p>n.s. (not significant).</p><p>Change in Sexual orientation and basic characteristics in MtF.</p

Basic characteristics at the time of evaluation.

<p>FtM: hysterectomy, ovariectomy, mastectomy, phalloplasty; MtF: bilateral orchidectomy, penectomy, breast augmentation if necessary, vaginoplasty, vulvoplasty, SD  =  standard deviation, n.s.  =  not significant on a significance level of p≤.05.</p>†<p>student's t-test.</p>§<p>Fisher's exact test.</p><p>Basic characteristics at the time of evaluation.</p

Initial sexual orientation and history of transition in MtF.

a,b,c,f,h<p>p <0.01.</p>d,e,g,i<p>p <0.05.</p><p>(ANOVA).</p><p>CSHT: Cross-sex hormone treatment.</p><p>SRS: Sex reassignment surgery.</p><p>SO: Sexual orientation.</p><p>a-h mean significant differences between those two groups, e.g. a means a significant difference (p <0.01) between androphilic and gynephilic MtF in terms of age.</p><p>Initial sexual orientation and history of transition in MtF.</p

Initial sexual orientation and history of transition in FtM.

a,b,c<p>p <0.05.</p><p>CSHT: Cross-sex hormone treatment.</p><p>SRS: Sex reassignment surgery.</p><p>SO: Sexual orientation.</p><p>a-c mean significant differences between those two groups, e.g. “a” means a significant difference (p <0.05) between androphilic and gynephilic FtM in terms of age of onset.</p><p>Initial sexual orientation and history of transition in FtM.</p

Profiles of SCL-90-R subscales in FtM and MtF transsexuals and genoptype/phenotype matched healthy controls (HC).

<div><p>FtM present with high scores in most SCL90 subscales. Proximity analysis revealed that profiles of FtM best resembled those of the phenotype matched male control group, but also high resemblance with the genotype matched female control group was seen (<b>a</b>). MtF present with high scores in different SCL90 subscales, most prominent in the subscale depression. MtF transsexuals had considerable, but smaller profile proximity with both control groups (<b>b</b>).</p> <p>Note: TS = transsexuals; HC = healthy controls; TS MtF = male-to-female transsexuals; TS FtM = female-to-male transsexuals; HC men gen = matched healthy male controls of the same genetic gender; HC women gen = matched healthy female controls of the same genetic gender; HC men gen = matched healthy male controls of the same phenotypic gender; HC women gen = matched healthy female controls of the same phenotypic gender;, SCL-90-R symptom dimensions: SOM = somatization, O-C = obsessionality, IS = interpersonal sensitivity, DEP = depression, ANX = anxiety, HOS = hostility, PHOB = phobic anxiety, PAR = paranoid ideation, PSY = psychoticism, GSI= Global Severity Index. SD = standard deviation.</p></div

High impact of sleeping problems on quality of life in transgender individuals: A cross-sectional multicenter study

<div><p>Introduction</p><p>Studies in the general population suggest that determinants of QoL are often sex-dependent. Sex-dependent analyses of QoL in transgender populations have not been performed so far.</p><p>Aim</p><p>To identify sex-specific and potentially modifiable determinants of QoL in transgender patients</p><p>Methods</p><p>In this cross-sectional multicentre study including 82 transwomen (TW) and 72 transmen (TM) at different treatment stages, we investigated potential determinants for QoL focusing on the impact of mood (BDI, STAI-X), sleep quality (PSQI), chronic pain (GPQ), body image (FBeK) and social support (SSS).</p><p>Main outcome measure</p><p>Health-related quality of life measured with the Short Form (36) Health Survey (SF-36).</p><p>Results</p><p>The age-adjusted SF-36 total score and its subscales did not significantly differ between TM and TW. Using a multivariate regression analysis approach, we identified common but also sex-dependent determinants for QoL (Adjusted R² = 0.228; 0.650 respectively). Accounting for general characteristics such as age, BMI and treatment status, sleep quality according to the PSQI was an independent and strong determinant of QoL in both sexes (β = -0.451, p = 0.003 TM; β = -0.320; p = 0.0029 TW). Chronic pain was a significant independent predictor of QoL in TM (β = -0.298; p = 0.042) but not in TW. In contrast, anxiety (β = -0.451; p< 0.001) being unemployed (β = -0.206; p = 0.020) and insecurity about the own appearance (FBeK) (β = -0.261; p = 0.01) were independent predictors of QoL in TW. The rate of those reporting high sleep disturbances (PSQI ≥5) was high with 79.2% in TW and 81.2% in TM. Accordingly, age-adjusted QoL was also significantly lower in those reporting poor sleep in both sexes.</p><p>Conclusions</p><p>Sleep strongly affected QoL in both genders, while other factors, like pain and body image, seem to be gender specific in transgender individuals.</p></div

Effects of chronic pain on the SF-36 global score.

<p>The age-adjusted SF-36 global score was significantly lower (p = 0.006) in TM that reported to suffer from chronic pain, while this was only true on a trend level (p = 0.052) for TW.</p

Effects of poor sleep on the SF-36 global score.

<p>The age-adjusted SF-36 global score was significantly lower in TM (p = 0.009) and TW (p < 0.001) that reported to suffer from poor sleep indicated by a PSQI global score of ≥ 5.</p