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24th European Congress of Psychiatry / European Psychiatry 33S (2016) S349–S805

S359

patients attended only the first visit. Four (36.4) achieved complete

abstinence, 3 (27.27) met maintenance phase. One (9.1) reduced

consumption in half. Patients gained average 0.5 kg (2.47).

Conclusions

The results are similar to those reported in other

series. Modest dropout rate. No pharmacological treatment was

used due to high coexistence of comorbidities, the only patient

who used varenicline suffered insomnia. Average age and media

packages were superior to other series.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.1014

EV30

Smoking reduction/cessation and

psychiatric patients: What about

weight control?

I. Ganhao

1 ,

, M. Trigo

2

, A. Paixao

2

, J. Cardoso

2

1

Qta do Anjo, Portugal

2

Centro Hospitalar Psiquiatrico de Lisboa, Smoking

Reduction/Cessation Program, Lisbon, Portugal

Corresponding author.

Introduction

Smoking cessation has long been associated with

weight gain and is one of the many reasons that smokers invoke

for not giving up smoking. Many psychiatric medications are also

associated with increased weight gain and metabolic syndrome.

Unhealthy lifestyles reflect symptoms of illness with poor coping

strategies and financial and social difficulties.

There are many reasons why smoking cessation may be viewed as

much more difficult for psychiatric patients and weight gain is one

of them.

Objective

To study how patients’ weight evolves during smoking

reduction and cessation in a smoking reduction/cessation program

in a psychiatric hospital.

Aims

To demystify weight gain as a significant problem in smok-

ing reduction and cessation in this patient population.

Methods

Every patient entering the smoking reduction/cessation

program is evaluated initially with regard to weight and BMI.

Patients’ weights are evaluated during the duration of the program

for each patient as is smoking status.

Results

We are still collecting data at this time.

Conclusions

There are three groups of patient according toweight

changes during the program: those who gain weight, those who

maintain the same weight (

±

1 kg) and those who lose weight.

Most patients who gain weight end up recuperating their initial

weight or are able to lose weight later.

Some patients had weight control issues and their fear of gaining

weight led them to overcompensate leading to weight loss.

We have included interventions on healthy lifestyles that have

aided patients in controlling their weight.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.1015

EV31

Personality dimensions and drug of

choice: A descriptive study using

Cloninger’s temperament and

character inventory revised

G. Hurtado

1 ,

, G. Mateu

1

, R. Martinez

2

, A. Farre

1

, J. Marti

1

,

R. Sanchez

2

, L. Diaz

2

, M. Campillo

1

1

Parc de Salut Mar, Institut de Neuropsiquiatria i AddicionsCentre

Emili Mira, Santa Coloma Gramenet, Spain

2

Parc de Salut Mar, Institut de Neuropsiquiatria i Addicions Centre

Emili Mira, Barcelona, Spain

Corresponding author.

Personality dimensions related with drug use are novelty seeking,

impulsivity and harm avoidance. Studies predicting drug of choice

over personality variables are controversial.

Objective

To describe personality profile of drug users in relation

to substance of choice.

Aims

To know personality dimension differences according to

drug used.

Methods

Cloninger’s TCI-R was administered to 218 patients in a

dual diagnosis unit.

SPSS was applied.

Results

Of the patients, 33.94%had personality disorder. Principal

substances used were alcohol, cocaine and cannabis.

Most of drug users had normal scores in each dimension. No high

scores were found in reward dependence, self-directedness and

cooperativeness with any drug.

High scores were observed for novelty seeking in 42.9% of timu-

lants users; for arm avoidance in a quarter of cocaine, alcohol and

methadone users and for persistence in 18.2% of hypnotics users.

Low scores were observed for reward dependence in 45% of hero-

ine and hypnotics users; for persistence in 50% of methadone and

32% of cocaine users; for self-directedness in most of types of drug

users and for cooperativeness in up to 50% in heroine, hypnotics,

stimulants and cocaine users.

Statistical significant differences were observed for cocaine use and

high novelty seeking and low cooperation; for non cannabis use

and high harm avoidance; for non anfetamine use and low scores

in reward dependence; for opiate use and low self-directedness.

Conclusions

Most of patients had normal scores in the different

dimensions.

Presence of comorbid personality disorder led us to consider the

results with caution.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.1016

EV32

Depression, anxiety and panic

disorders in chronic obstructive

pulmonary disease: Correlations with

disease severity and quality of life

R. Gherghesanu

1 ,

, L. Trofor (PhD student)

2

,

I.O. Pascal (PhD student)

2

, R. Chirita

3

, A. Frunza

4

1

Iasi, Romania

2

“Gr.T.Popa” University of Medicine and Pharmacy- Iasi- Romania,

psychiatry 1, Iasi, Romania

3

University of Medicine and Pharmacy “Gr.T.Popa” Iasi, psychiatry 1,

Iasi, Romania

4

Faculty of Bioengineering U.M.F “Gr.T.Popa” Iasi, bioengineery 1,

Iasi, Romania

Corresponding author.

Introduction

Depression, anxiety and panic disorders are often

encountered in chronic respiratory disorders, like chronic obstruc-

tive pulmonary disease (COPD), especially in severe disease stages

with impaired quality of life.

Aim

To assess anxiety, depression and panic disorders among

patients diagnosed with COPD and to correlate them with respi-

ratory disease severity and quality of life.

Material and method

We investigated the profile of anxiety,

depression and panic attacks in relation to patients’ medical his-

tory, demographic data, smoking status, COPD staging and disease

severity (estimated by CAT quality of life questionnaire, GOLD

guideline staging).

Results

A total of 60 COPD patients were enrolled. Smoking

profile showedmore intensive smoking inmen (35.81mean packs-

years versus 24.38 in women). The COPD high-risk group type D

was predominant, with severe dyspnea, decreased lung function,

frequent exacerbations and low quality of life (mean CAT score: