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S332
25th European Congress of Psychiatry / European Psychiatry 41S (2017) S303–S364
disorder or bipolar I disorder were enrolled in this study, from the
community mental health department of Ferrara.
Results
The tests were administered to 110 patients (mean age:
45
±
11,4) and to 86 controls (mean age: 35
±
12,6) of both sex. SCIP
presents high correlation with the R-BANS total score (
P
< 0.01) and
the subscales (verbal learning test-immediate, working memory,
verbal fluency test, verbal learning test-delayed, processing speed
test,
P
< 0.01). There are significant differences (
P
< 0.01) in all SCIP
dimensions between patient and control group
( Table 1 ).Conclusions
Our analysis confirm the results of the English,
French and Spanish version of the SCIP regarding convergent and
discriminant validity. The SCIP represents a valid, simple and
brief screening tool for the cognitive evaluation of patients with
schizophrenia-spectrum disorders.
Table 1
VLT-I: verbal learning test-immediate; WMT: working
memory test; VFT: verbal fluency test; VLT-D: verbal learning
test-delayed; PST: processing speed test; R-BANS: repeatable
battery for the assessment of neuropsychological status;
TMT: trail making test; WCST: Wisconsin card sorting test.
P
< 0.01.
Disclosure of interest
The authors have not supplied their decla-
ration of competing interest.
http://dx.doi.org/10.1016/j.eurpsy.2017.02.274EW0661
Effects of switching antipsychotics in
80 outpatients: A descriptive analysis
from a mental health community
R. Medina Blanco
∗
, R. Martín Gutiérrez , M.J. Cuesta Nu˜nez ,
D. Sierra Biddle , P. Suárez Pinilla
Hospital universitario marqués de Valdecilla, psychiatry, Santander,
Spain
∗
Corresponding author.
Introduction
In the general practice, psychiatrists widely pres-
cribe antipsychotics for several conditions as schizophrenia, bipolar
disorder and behavioral disorders among others.
Aim and objectives
The aim of this study is to describe the cli-
nical and sociodemographic features of typical patients receiving
antipsychotics and their effects after switching to long-acting treat-
ment.
Methods
A descriptive analysis of 80 outpatients collected from
a mental health clinic in Santander (Spain) was performed. All
patients were taking antipsychotics at baseline, both oral and
intramuscular, and were switched to a different long-acting anti-
psychotic drug.
Results
At baseline, 24 patients were taking oral medication and
56 intramuscular. There were 37 females and 43 males. There
were no gender differences in the final treatment, but Palmi-
tate Paliperidone (71.3%) was the most prescribed drug, followed
by intramuscular risperidone (16.3%) and long-acting aripipra-
zole (11.3%). We found gender differences regarding cannabis
(
P
= 0.002), alcohol (
P
= 0.004) and tobacco (
P
= 0.043) consumption,
being their use more common in males. In regard to diagnosis,
schizophrenia was predominant in both gender groups, whereas
delusional and behavioral disordersweremore frequent in females.
There were no significant differences in the reason of switching,
but the inefficacy was more common in males and the side effects
in females. At the switching, females were significantly older than
males (
P
= 0.003). We found significant differences before and after
switching regarding the number of admissions, emergency visits
and length of stay.
Conclusions
Antipsychotic benefits are individual and unpredic-
table. When switching, some other different factors should be
taking in account, not only regarding medication.
Disclosure of interest
The authors have not supplied their decla-
ration of competing interest.
http://dx.doi.org/10.1016/j.eurpsy.2017.02.275EW0662
Association between smartphone
addiction proneness and poor sleep
quality in korean university students
K.B. Min
1 ,∗
, M. Jin-young
2, K. Hyun-Jin
2, K. Hye-Jin
31
College of medicine, Seoul national university, department of
preventive medicine, Seoul, Republic of Korea
2
Seoul national university, institute of health and environment,
Seoul, Republic of Korea
3
Seoul national university, school of public health, Seoul, Republic of
Korea
∗
Corresponding author.
Background
The number of Korean smartphone users exceeded
40million in 2015, inwhich roughly 1 in 5 university students were
expected to be addicted to their smartphone. Of importance is that
smartphone addiction negatively affects physical and mental well-
being and health. Sleep problems associated with smartphone is
also a serious public concern; but the evidence is lacking. The aim
of this study is to investigate the association between smartphone
addiction proneness and sleep problems in Korean university stu-
dents.
Methods
We conducted an online-survey which received res-
ponses from 608 university students. All participants completed
questionnaires on the Korean smartphone addiction scale (K-SAS),
the Pittsburgh Sleep Quality Index (PSQI), and personal characte-
ristics. Based on the scores of the K-SAS, university students were
classified into two groups–the addiction proneness group and the
normal-user group.
Results
The addiction proneness groups had a higher PSQI score
than the normal-user group (7.5 vs. 6.7,
P
-value < 0.0001). After
adjustment for potential covariates (i.e., age, income, and smoking),
PSQI scores was significantly increased in the addiction proneness
groups (Beta coefficient = 0.69; 95%CI : 0.29
∼
1.09). The risk of sleep
problems was more increased in the addiction proneness groups
(odds ratio = 1.99; 95% CI: 1.33
∼
2.98) than the normal-user groups.
Conclusion
We found that the smartphone addiction prone-
ness was associated with sleep problems in university students.
Although our findings are further confirmed by elucidating causal
relationships between smartphone uses and sleep habits, smart-
phone addiction proneness may be a risk factor for poor sleep
quality.
Disclosure of interest
The authors have not supplied their decla-
ration of competing interest.
http://dx.doi.org/10.1016/j.eurpsy.2017.02.276EW0663
Methylphenidate challenge followed
by therapeutic drug monitoring in
adults with attention
deficit/hyperactivity disorder:
Clinical effects and its predictors