G. D'Anna, Italy
University of Florence Department of Health SciencesPresenter of 2 Presentations
O121 - Dysregulated sexuality and childhood trauma in Eating Disorders: psychopathological, biological, and behavioural correlates
ABSTRACT
Introduction
Sexual dysfunction is common in eating disorders (EDs), but its relevance is often overlooked.
Objectives
To describe different ED clinical subgroups in terms of psychopathology, putative biological correlates, and consequences of dysregulated sexuality, focusing on the role of childhood trauma.
Methods
Healthy controls (n=60), binge-purging (n=38), and restricting patients (n=24) were compared (age- and BMI-adjusted ANOVA; Bonferroni post-hoc tests), using total scores of Eating Disorder Examination Questionnaire (EDE-Q), Emotional Eating Scale (EES), SCL-90-R Global Severity Index (GSI), Barratt Impulsiveness Scale (BIS-11), Difficulties in Emotion Regulation Scale (DERS), Childhood Trauma Questionnaire (CTQ), Female Sexual Functioning Index (FSFI), Hypersexual Behaviour Inventory (HBI), and patients’ hormonal profiles (gonadal and pituitary hormones, ghrelin). Self-reported voluntary termination of pregnancy (VTP) and promiscuous sexual activity were recorded. For ED patients (N=62), regression analyses between significant variables and HBI were carried, applying moderation models for different CTQ scores.
Results
Table 1 outlines significant between-group comparisons (°: different from controls; *: different from restricting patients; p<0.05). Binge-purging patients had higher FSH, LH, and ghrelin levels, more VTPs and promiscuity. HBI showed significant correlations with EES, SCL-90-R-GSI, DERS, CTQ, and ghrelin levels. CTQ moderated interactions for DERS and EES (Figure 1).
Binge-purging | Restricting | Controls | F | |
EDE-Q | 3.86±1.20° | 3.41±1.64° | 0.85±0.83 | 67.32 |
EES | 40.85±22.74°* | 16.01±15.88 | 19.87±15.21 | 7.01 |
SCL-90-R GSI | 1.73±0.65° | 1.27±0.69° | 0.68±0.44 | 20.32 |
BIS-11 | 62.47±9.91° | 60.81±8.56 | 57.04±10.04 | 4.99 |
DERS | 106.97±29.15°* | 83.97±33.12 | 78.14±14.12 | 10.21 |
CTQ | 55.32±21.06° | 49.31±10.81° | 38.02±8.32 | 15.24 |
FSFI | 17.32±11.89°* | 11.70±10.98° | 29.32±7.45 | 24.02 |
HBI | 28.75±13.89* | 20.56±3.12 | 26.11±4.90 | 4.92 |
Conclusions
Dysregulated sexuality is linked to emotion dysregulation and childhood trauma. Binge-purging patients experience adverse behavioural consequences.
O248 - Drug Attitude Inventory is relevant to LAI treatment persistence in schizophrenia: preliminary results
ABSTRACT
Introduction
Patients' attitudes and subjective experience are crucial in the management of severe mental illness, but their practical value is overlooked.
Objectives
To identify predictors of future adherence to LAI antipsychotic maintenance treatment of schizophrenia among socio-demographic, clinical, and psychometric characteristics – including Drug Attitude Inventory-10 (DAI-10) and Subjective Well-being under Neuroleptics short form (SWN-K) scores.
Methods
Retrospective baseline data from 53 clinically stable outpatients with schizophrenia switched from oral to LAI therapy were collected. Patients continuing treatment at the time of analysis (n=29) were compared to those who had discontinued it (n=24). Selected variables were further evaluated in survival analyses.
Results
Between-group differences are presented in Table 1 (**: p<0.01; *: p<0.05).
Continued treatment | Discontinued treatment | χ2 or t | |
Treatment persistence (months) | 63.79±21.01 | 23.88±25.80 | 6.21** |
Age (years) | 39.17±10.11 | 35.58±13.39 | 1.11 |
Male | 15 (51.7%) | 13 (54.1%) | 0.03 |
Single | 20 (69.0%) | 15 (62.5%) | 0.25 |
Instruction (years) | 13.28±3.31 | 11.83±3.56 | 1.53 |
Employed | 20 (69.0%) | 7 (29.2%) | 8.32** |
Illness duration (years) | 17.69±10.53 | 13.42±11.36 | 1.42 |
Previous hospitalisations | 2.10±1.32 | 2.67±1.86 | -1.29 |
MADRS | 13.59±9.06 | 14.67±8.99 | -0.43 |
YMRS | 5.52±5.57 | 6.00±9.94 | -0.22 |
p-PANSS | 12.17±5.20 | 14.38±6.13 | -1.41 |
n-PANSS | 10.90±5.39 | 15.63±7.93 | -2.48* |
g-PANSS | 29.38±10.33 | 33.63±10.26 | -1.49 |
PANSS | 52.66±17.57 | 63.96±20.61 | -2.15* |
DAI-10 | 3.86±4.96 | -1.13±5.80 | 3.38** |
SWN-K | 74.93±23.07 | 81.00±15.60 | -1.09 |
Cox regression analysis included instruction, employment, hospitalisations, PANSS subscales and DAI-10 scores: a protective role against treatment discontinuation was outlined only for employment (HR 0.16; 95%CI 0.05-0.50) and higher DAI-10 scores (HR 0.85; 95%CI 0.78-0.94). DAI-10 scores delineated distinct adherence trajectories (Figure 1).
Conclusions
Baseline DAI-10 scores may identify patients at risk of dropout after switching to LAI.