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S26

25th European Congress of Psychiatry / European Psychiatry 41S (2017) S8–S52

Methods

We compared 515 male pathological gamblers from

inpatient treatment unitswith 269matched controls. Patientswere

diagnosed by experienced clinicians. In a random sample of 58

patients clinical diagnoses were validated through SKID 1 inter-

views

[1] .

Results

88% had a comorbid diagnosis of substance dependence

(nicotine dependence 80%, alcohol dependence 28%). Only 1% of

the gamblers had an impulse control disorder diagnosis. Compared

with controls first degree relatives were more likely to suffer from

alcohol dependence (27.0% vs. 7.4%), PG (8.3% vs. 0.7%) and suicide

attempts (2.7% vs. 0.4%).

Conclusions

In addition to recent papers on the neurobiology

(Fauth-Bühler et al., 2016) and genetics of gambling

[2,3] , o

ur find-

ings support the classification of PG as behavioural addiction in the

ICD-11

[4] .

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

Reference

[1] Fauth-Bühler M, Mann K, Potenza MN. Pathological gambling:

Impulse control disorder or addictive disorder? A review of the

neurobiological evidence. Addiction Biology 2016 [in press].

[2] Lang M, et al. Genome-Wide Association Study of Pathological

Gambling. European Psychiatry 2016 [in press].

[3] Mann K, et al. Comorbidity, family history and personality traits

in treatment seeking pathological gamblers compared with

healthy controls. European Psychiatry 2016 [in press].

[4] Mann K, Fauth Bühler M, Saunders J. Letter to World Psychiatry

2016;15(3):297–8.

http://dx.doi.org/10.1016/j.eurpsy.2017.01.134

S061

Neurobiological mechanisms of

problem gambling and treatment

A. Goudriaan

, R. van Holst , T. van Timmeren

University of Amsterdam- academic medical center, academic

medical center, Amsterdam, The Netherlands

Corresponding author.

Background and aims

In the past decade, neurobiological

research on pathological gambling has flourished. Based on

neurobiological similarities between pathological gambling and

substance use disorders and similarities in genetics, diagnostic

criteria, and effective treatments, pathological gambling was the

first behavioral addiction to be included in the DSM-5 within the

revised category Substance-related and addictive disorders.

In this presentation novel findings from gambling research in our

research group focusing on the role of impulsivity, anticipation

towards monetary outcomes, and the interaction between stress

and cue reactivity will be presented, with a focus on new func-

tional MRI results. An overview will be given on the concepts of

impulsivity and compulsivity in pathological gambling and rele-

vant neurocognitive and neuroimaging findings. Implications of

neurobiological research for novel intervention research, such as in

neuromodulation studies and personalized medicine will be high-

lighted.

Keywords

pathological gambling; gambling disorder;

impulsivity; compulsivity; neuroimaging; craving

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2017.01.135

S062

Internet addiction and the virtual

self-image

T. Leménager

1 ,

, J. Dieter

1

, H. Hill

2

, K. Mann

1

, F. Kiefer

1

1

Department of addictive behavior and addiction medicine, central

institute of mental health, medical faculty Mannheim/Heidelberg

university, Germany

2

Institute of sports and sports science, Karlsruhe institute of

technology, Germany

Corresponding author.

Background

Internet gaming disorder appears to be associated

with self-concept deficits and increased identification with one’s

avatar. For increased social network use, the few existing studies

suggest striatal-related positive social feedback as an underly-

ing factor. Furthermore, few study findings indicate that internet

addicts generally have problems in emotional inhibitory control

processing.

Methods

Pathological and addicted internet gamers as well

as social network users were compared with healthy con-

trols regarding psychometric and neurobiological measures of

self-concept-related characteristics, avatar identification and emo-

tional inhibitory control processing.

Results and conclusion

Psychometric results indicated that both

subgroups showed higher self-concept deficits compared to

healthy controls. Neurobiologically, different brain activation pat-

terns were observed in the subgroups during self-knowledge

retrieval and inhibition of emotional stimuli. Furthermore, addicted

internet gamers showed a higher identification with the own

avatar, mirrored in an increased left angular gyrus activation, a

region functionally associated with identification processing and

feelings of empathy.

These findings provide a starting point for the deduction of spe-

cific psychotherapeutic treatment approaches for addicted internet

gamers and social network users.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2017.01.136

S063

Mobile phone addiction: Evidence

from empirical research

D. Kuss

Nottingham Trent university, psychology, Nottingham, United

Kingdom

Introduction

Recent technological innovations have led to a pro-

liferation of mobile and smartphones, which have become the

cornerstone of modern societies in the 21

st

Century in terms of

communication, notifications and entertainment. Latest research

however suggests that with the advantages offered by mobile tech-

nologies, smartphone use today may have a significant impact on

mental health and well being. Overuse has been associated with

stress, anxiety, depression and addiction.

Objectives

This talk aims to highlight results of current mobile

phone addiction research.

Aims

To replicate and extend earlier research with regards to

psychopathology (depression, anxiety and stress), mobile phone

use and age on problematic mobile phone use and addiction.

Methods

Individuals aged 16 and above participated in an online

study that contained a pool of validated psychometric measures.

Data were analyzed using Structural Equation Modeling.

Results

Calls per day, time spent on the phone and using social

media significantly predicted prohibited and dependent mobile

phone use, whereas stress predicted dependent use only. Anxi-

ety and depression did not significantly predict problematic mobile

phone use. Findings also revealed that problematic mobile phone

use is prevalent across all ages and both genders.

Conclusions

The current results have implications for addiction

to using mobile phones, and suggest teachers, parents and affected

individuals may benefit from awareness and prevention efforts,

respectively.

This talk is based on Kuss, D.J. et al. (2016). Problematic mobile

phone use and addiction: The roles of psychopathology, mobile

phone use and age. Under review, and was funded by the British

Academy and NTU.