Artemis K. Tsitsika

Dr. Artemis K. Tsitsika

Adolescent Health Unit (AHU) of the Second Department of Pediatrics, University of Athens
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orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 July 2019 in Nature Genetics
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AIAnorexia Nervosa Genetics Initiative
Anorexia Nervosa Genetics Initiative
HWHunna J. Watson
Hunna J. Watson
ECEating Disorders Working Group of the Psychiatric Genomics Consortium
Eating Disorders Working Group of the Psychiatric Genomics Consortium
ZYZeynep Yilmaz
Zeynep Yilmaz
LTLaura M. Thornton
Laura M. Thornton
CBCynthia Bulik
Cynthia Bulik

5 September 2014 in European Child & Adolescent Psychiatry
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Kai W. MüllerKai W. Müller
Kai W. Müller
MJM. Janikian
M. Janikian
MDM. Dreier
M. Dreier
KWK. Wölfling
K. Wölfling
MBM. E. Beutel
M. E. Beutel
Artemis K. TsitsikaArtemis K. Tsitsika
Artemis K. Tsitsika

11 February 2014 in Molecular Psychiatry
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VBV Boraska
V Boraska
CFC S Franklin
C S Franklin
JFJ A B Floyd
J A B Floyd
LTL M Thornton
L M Thornton
LHL M Huckins
L M Huckins
PWPamela Whittaker
Pamela Whittaker

1 August 2014 in Cyberpsychology, Behavior, and Social Networking
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Artemis K. TsitsikaArtemis K. Tsitsika
Artemis K. Tsitsika
MJMari Janikian
Mari Janikian
TSTim M. Schoenmakers
Tim M. Schoenmakers
ETEleni C. Tzavela
Eleni C. Tzavela
KÓKjartan Ólafsson
Kjartan Ólafsson
CRClive Richardson
Clive Richardson
A cross-sectional school-based survey study (N=13,284; 53% females; mean age 15.8±0.7) of 14-17-year-old adolescents was conducted in seven European countries (Greece, Spain, Poland, Germany, Romania, the Netherlands, and Iceland). The aim of the study was to investigate the prevalence of Internet addictive behavior (IAB) and related psychosocial characteristics among adolescents in the participating countries. In the study, we distinguish two problematic groups: adolescents with IAB, characterized by a loss of control over their Internet use, and adolescents "at risk for IAB," showing fewer or weaker symptoms of IAB. The two groups combined form a group of adolescents with dysfunctional Internet behavior (DIB). About 1% of adolescents exhibited IAB and an additional 12.7% were at risk for IAB; thus, in total, 13.9% displayed DIB. The prevalence of DIB was significantly higher among boys than among girls (15.2% vs. 12.7%, p<0.001) and varied widely between countries, from 7.9% in Iceland to 22.8% in Spain. Frequent use of specific online activities (e.g., gambling, social networking, gaming) at least 6 days/week was associated with greater probability of displaying DIB. Multiple logistic regression analysis indicated that DIB was more frequent among adolescents with a lower educational level of the parents, earlier age at first use of the Internet, and greater use of social networking sites and gaming sites. Multiple linear regression analysis showed that externalizing (i.e., behavioral) and internalizing (i.e., emotional) problems were associated with the presence of DIB.

1 July 2014 in Journal of Adolescent Health
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Artemis K. TsitsikaArtemis K. Tsitsika
Artemis K. Tsitsika
ETEleni C. Tzavela
Eleni C. Tzavela
MJMari Janikian
Mari Janikian
KÓKjartan Ólafsson
Kjartan Ólafsson
AIAndreea Iordache
Andreea Iordache
CRClive Richardson
Clive Richardson

27 July 2011 in BMC Public Health
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GKGeorgios Kormas
Georgios Kormas
ECElena Critselis
Elena Critselis
MJMari Janikian
Mari Janikian
DKDimitrios Kafetzis
Dimitrios Kafetzis
Artemis K. TsitsikaArtemis K. Tsitsika
Artemis K. Tsitsika
Background: Problematic internet use (PIU) is associated with a plethora of psychosocial adversities. The study objectives were to assess the determinants and psychosocial implications associated with potential PIU and PIU among adolescents. Methods: A cross-sectional study design was applied among a random sample (n = 866) of Greek adolescents (mean age: 14.7 years). Self-completed questionnaires, including internet use characteristics, Young Internet Addiction Test, and Strengths and Difficulties Questionnaire, were utilized to examine the study objectives. Results: Among the study population, the prevalence rates of potential PIU and PIU were 19.4% and 1.5%, respectively. Multinomial logistic regression indicated that male gender (Odds Ratio, OR: 2.01; 95% Confidence Interval, 95% CI: 1.35-3.00), as well as utilizing the internet for retrieving sexual information (OR: 2.52; 95% CI: 1.53-4.12), interactive game playing (OR: 1.85; 95% CI: 1.21-2.82), and socialization, including chat-room use (OR: 1.97; 95% CI: 1.36-2.86) and email (OR: 1.53; 95% CI: 1.05-2.24), were independently associated with potential PIU and PIU. Adolescents with potential PIU had an increased likelihood of concomitantly presenting with hyperactivity (OR: 4.39; 95% CI: 2.03-9.52) and conduct (OR: 2.56; 95% CI: 1.46-4.50) problems. Moreover, adolescent PIU was significantly associated with hyperactivity (OR: 9.96; 95% CI: 1.76-56.20) and conduct (OR: 8.39; 95% CI: 2.04-34.56) problems, as well as comprehensive psychosocial maladjustment (OR: 8.08; 95% CI: 1.44-45.34). Conclusions: The determinants of potential PIU and PIU include accessing the internet for the purposes of retrieving sexual information, game playing, and socialization. Furthermore, both potential PIU and PIU are adversely associated with notable behavioral and social maladjustment among adolescents.