European Psychiatry - Volume 33 - March 2016

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S476 24th European Congress of Psychiatry / European Psychiatry 33S (2016) S349–S805
Methods The sample covers a cross-sectional study including
15 female patients and 59 male patients under treatment in the
Emergency Department at the Psychiatric Hospitality “Sveti Ivan”
in September 2015. The patients were divided into three groups,
according to their BMI. All patients fulfilled the DASS 21 (Depres-
sion, Anxiety and Stress Scale by Fernando Gomez) and Suicide
Severity Rating Scale (Columbia–Suicide Severity Rating Scale [Cen-
ter for Suicide Risk Assesment] questionnaires).
Results Inmale patients, 30.91%were found to be obese and36.4%
overweight. In total, seven patients had from comorbidity, of which
fivewere obese. In female patients, 33.3%were overweightwhereas
only six patientswere obese. Of those six obesewomen, all had from
comorbidity.
Conclusions The results identify that a significant part of individ-
uals with psychological disorders are either obese or overweight,
resulting in repercussions in the course of disease and treatment.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EV400
Casting wider diagnostic nets for
anxiety and depression:
Disability-driven cross-diagnostic
subtypes in a large population study
R. Wanders ∗, H.M. van Loo , K.J. Wardenaar , J.K. Vermunt ,
R.R. Meijer , P. De Jonge
1 University Medical Center Groningen, Department of Psychiatry,
Groningen, Netherlands
2 Tilburg University, Department of Methodology and Statistics,
Tilburg, Netherlands
3 University of Groningen, Department of Psychometrics and
Statistics, Groningen, Netherlands
∗ Corresponding author.
Introduction Data-driven techniques are frequently applied to
identify subtypes of depression and anxiety. Although they are
highly comorbid and often grouped under a single internalizing
banner, most subtyping studies have focused on either depression
or anxiety. Furthermore, most previous subtyping studies have not
taken into account experienced disability.
Objectives To incorporate disability into a data-driven cross-
diagnostic subtyping model.
Aims To capture heterogeneity of depression and anxiety symp-
tomatology and investigate the importance of domain-specific
disability-levels to distinguish between homogeneous subtypes.
Methods Sixteen symptoms were assessed without skips using
the MINI-interview in a population sample (LifeLines; n = 73403).
Disability was measured with the RAND-36. To identify the best-
fitting subtyping model, different nested latent variable models
(latent class analysis, factor analysis andmixed-measurement item
response theory [MM-IRT]) with and without disability covariates
were compared. External variables were compared between the
best model’s classes.
Results A five-class MM-IRT model incorporating disability
showed the best fit (Fig. 1). Accounting for disability improved
the differentiation between classes reporting isolated non-
specific symptoms (“Somatic” [13.0%], and “Worried” [14.0%]) and
those reporting more psychopathological symptoms (“Subclinical”
[8.8%], and “Clinical” [3.3%]). A “Subclinical” class reported symp-
tomatology at subthreshold levels. No pure depression or anxiety,
but only mixed classes were observed.
Conclusions An overarching subtyping model incorporating
both symptoms and disability identified distinct cross-diagnostic
subtypes. Diagnostic nets should be cast wider than current
phenomenology-based categorical systems.
Figure not available.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EV401
Pediatric asthma biomarkers in
relation to mental disorders of
asthmatic children and their
caregivers
E. Zaky ∗, E. Fouda , E. Samir , F. Ahmed
1 Ain Shams university- faculty of medicine, pediatrics, Cairo, Egypt
2 Ain Shams university- faculty of medicine, biochemistry, Cairo,
Egypt
3 Ain Shams university, pediatrics, Cairo, Egypt
∗ Corresponding author.
Background Pediatric bronchial asthma as a chronic airway
inflammatory disorder has a significant impact on asthmatic chil-
dren both biologically and psychologically. On the other hand,
parental stress and depression has been linked to pediatric asthma
and claimed to play an important role in its morbidity.
Objectives Assessment of pediatric asthma biomarkers as param-
eters of disease severity in relation to mental disorders of an
Egyptian sample of asthmatic children and their caregivers.
Methodology The current cross-sectional study comprised 60
Egyptian asthmatic children as Group I and 35 clinically healthy
children of comparable age and sex as Group II. Thorough clini-
cal evaluation and psychometric assessment were carried out for
all enrolled children and their caregivers. In addition, pulmonary
function testing and measurement of esinophilic count, IL-5, and
total IgE were carried out for children of both studied groups.
Results Enrolled asthmatics had significant elevation of all stud-
ied asthma biomarkers with significant reduction of measured
pulmonary functions compared to controls. Furthermore, asth-
matics had significantly more encountered poor self-esteem,
clinically manifest anxiety, and psychosocial impairment com-
pared to controls. Meanwhile, parents of studied asthmatics had
higher frequency of severer grades of clinically manifest isolation,
anxiety, depression, and stress. Strikingly, the severer the asthma,
the more the elevation of studied asthma biomarkers, the severer
the asthmatic child’s and caregivers’ anxiety and depression, and
the more the caregivers’ isolation and stress.
Conclusion Pediatric asthma biomarkers as parameters of disease
severity has been proven to be linked to mental health impairment
of asthmatic children and their caregivers.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EV402
Paliperidone palmitate could reduce
the consumption of drugs of abuse in
psychotic patients?
A. Zangrando ∗ abici ascolo-Fabrici Riolo
1 UCO Clinica Psichiatrica, department of mental health, Trieste, Italy
2 CSM Domio Trieste, department of mental health, Trieste, Italy
3 CSM Domio, department of mental health, Trieste, Italy
∗ Corresponding author.
Introduction It’s not easy to choose between different antipsy-
chotics in the treatment of patients with schizophrenia that use
drugs of abuse both legal (alcohol, benzodiazepine, anticholiner-
gics) and illicit (heroin, cannabis, cocaine). The use of substances
is a powerful risk factor for poor outcome. From CATIE study, we
know that the discontinuity is lower with Olanzapine but psy-
chotic patients continue to take drugs of abuse despite medication.