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25th European Congress of Psychiatry / European Psychiatry 41S (2017) S521–S582
S539
EV0413
The effect of subjective well being
method on depression in high school
students
M. Pourshahriari
1 ,∗
, Z. Abrishami
21
Alzahra University, Psychology, Tehran, Iran
2
Rozbeh hospital, Psychiatry, Tehran, Iran
∗
Corresponding author.
Introduction
Depression has a large impact on individual, fam-
ily and society. This disorder can start early in life and often
go untreated. The aim of current research was to investigate
the effectiveness of subjective well being method in reduction
of depression in high school students by using a cluster random
sampling four hundreds students were selected from five different
areas. All subjects answered the Kovaks Depression Questionnaire
and hundred (fifty boys and fifty girls) had been selected who
were under the mean score. The subjects were randomly assigned
to four groups, two excremental, two controls. The intervention
was used in an hour and a half each week for twelve weeks
fifteen.
Methods
The data was analysed using manova that showed
significant difference among experiment pan control groups on
depression scores. But there were no difference between sexes.
The study suggest further study with longer intervention.
Disclosure of interest
The authors have not supplied their decla-
ration of competing interest.
http://dx.doi.org/10.1016/j.eurpsy.2017.01.743EV0414
Standardization of Czech version of
beck depression inventory (BDI II)
R. Ptacek
1 ,∗
, J. Raboch
1, M. Vnukova
1, J. Hlinka
2,
M. Cervenkova
31
First Faculty of Medicine, Charles University, Department of
Psychiatry, Prague, Czech Republic
2
Institute of Computer Science, The Czech Academy of Science,
Prague, Czech Republic
3
University of New York in Prague, Psychology, Prague, Czech
Republic
∗
Corresponding author.
Introduction
Depression is now the fourth most common cause
of invalidity. World Health Organization (WHO) predicts that by
2020 it will be the second most common cause (WHO, 2001). Beck
Depression Inventory (BDI II) is highly reliable tool for measuring
the intensity of depression.
Methods
The aim of this study was to assess the validity and
reliability of the Czech version of BDI II. This was done on a rep-
resentative sample of working population.
Results
Results from 1027 participants were obtained. The sam-
ple was equally distributed among males and females. T-test
showed that on average women suffered from higher depressive
symptoms than males. Cronbach alpha showed high items consis-
tency of 0,92 and confirmatory factor analysis found, as predicted,
3 factors: cognitive, somatic and affective.
Conclusion
Cronbach alpha and factor analysis showed high
internal consistency and reliability of Czech version of BDI II. Czech
version of BDI II is thus not only a translation but can be considered a
psychometric tool that is comparable with the original version. The
results of this study are therefore comparable with other available
results.
Disclosure of interest
The authors have not supplied their decla-
ration of competing interest.
http://dx.doi.org/10.1016/j.eurpsy.2017.01.744EV0415
How does lifestyle affect depression?
J. Raboch
1, R. Ptacek
1 ,∗
, M. Vnukova
1, S. Tkacova
21
First Faculty of Medicine, Charles University, Department of
Psychiatry, Prague, Czech Republic
2
University of New York in Prague, Psychology, Prague, Czech
Republic
∗
Corresponding author.
Objective
The aim of this study was to test the assumption that
there seems to be association between depression and lifestyle
choices. The hypothesis was that unhealthy lifestyle will have an
association with increased score on BDI II.
Methods
Czech version of BDI II was used and a questionnaire
of lifestyle was distributed among Czech economically active pop-
ulation. Combination of interviews (for older population) and
questionnaires (for younger population) was used. Stepwise mul-
tiple linear regression was applied to test whether and to what
extend is lifestyle associated with depression.
Results
In total data from 1027 participants was collected; 675
persons aged 25–50 years and 352 persons aged 51–65 years. The
model explains 31% of variance of depression and the model is
highly significant F (8,1018) = 57.66,
P
= 0.001. Lifestyle choices that
were found to be associated with depression were sleeping habits,
regular eating and drinking habits and generally conscious adher-
ence to healthy lifestyle.
Conclusion
Overall, an association was found between depres-
sion and certain lifestyle choices. Importantly it was also found
conscious maintenance of healthy lifestyle is an important factor.
This study thus confirmed the hypothesis that there is an associa-
tion between depression and lifestyle. The most important factor
of lifestyle in this study was shown to be regular sleeping pattern
lasting at least 6 hours. Regular eating and maintaining drinking
regime during the day were also found to be crucial.
Disclosure of interest
The authors have not supplied their decla-
ration of competing interest.
http://dx.doi.org/10.1016/j.eurpsy.2017.01.745EV0416
Exploring perinatal depression
symptom clusters as predictors of
childbearing outcomes
K. Records
1 ,∗
, M.J. Rice
2, Z.D. Apugan
11
University of Missouri St Louis, College of Nursing, St Louis, USA
2
University of Colorado Anschutz Medical Center, College of Nursing,
Denver, USA
∗
Corresponding author.
Introduction
Perinatal depression is related to poorer outcomes
for women and their children. Measurement indices that categorize
perinatal depression as present or absent are commonly used in
clinical practice and research efforts. Categorization minimizes the
health effects of potentially different symptom clusters and may
confound understanding of health outcomes.
Objectives
The objective of this investigation is to explore the
symptom clusters resulting from administering two commonly
used depression screening instruments during pregnancy and post-
partum.
Aims
(1) Identify the depressive symptom clusters for perinatal
depression; (2) Test whether symptom clusters predict maternal
and newborn outcomes, and if so, whether these differ from cate-
gorization analytics.
Methods
A secondary analysis was conducted on data froma lon-
gitudinal study of 139 women. They participated from their 3rd
trimester of pregnancy through 8 months after birth and com-
pleted surveys at five times using the center for epidemiologic
studies Depressed Mood Scale (CES-D) and the Edinburgh Postna-