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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

2

1

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.2017.01.743

EV0414

Standardization of Czech version of

beck depression inventory (BDI II)

R. Ptacek

1 ,

, J. Raboch

1

, M. Vnukova

1

, J. Hlinka

2

,

M. Cervenkova

3

1

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.2017.01.744

EV0415

How does lifestyle affect depression?

J. Raboch

1

, R. Ptacek

1 ,

, M. Vnukova

1

, S. Tkacova

2

1

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.2017.01.745

EV0416

Exploring perinatal depression

symptom clusters as predictors of

childbearing outcomes

K. Records

1 ,

, M.J. Rice

2

, Z.D. Apugan

1

1

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-