Titre
The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study.
Type
article
Institution
Externe
Périodique
Auteur(s)
Andreassen, Cecilie Schou
Auteure/Auteur
Billieux, Joël
Auteure/Auteur
Griffiths, Mark D.
Auteure/Auteur
Kuss, Daria J.
Auteure/Auteur
Demetrovics, Zsolt
Auteure/Auteur
Mazzoni, Elvis
Auteure/Auteur
Pallesen, Ståle
Auteure/Auteur
Liens vers les personnes
ISSN
1939-1501
Statut éditorial
Publié
Date de publication
2016
Volume
30
Numéro
2
Première page
252
Dernière page/numéro d’article
262
Peer-reviewed
Oui
Langue
anglais
Résumé
Over the last decade, research into “addictive technological behaviors” has substantially increased.
Research has also demonstrated strong associations between addictive use of technology and comorbid
psychiatric disorders. In the present study, 23,533 adults (mean age 35.8 years, ranging from 16 to 88
years) participated in an online cross-sectional survey examining whether demographic variables,
symptoms of attention-deficit/hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD),
anxiety, and depression could explain variance in addictive use (i.e., compulsive and excessive use
associated with negative outcomes) of two types of modern online technologies: social media and video
games. Correlations between symptoms of addictive technology use and mental disorder symptoms were
all positive and significant, including the weak interrelationship between the two addictive technological
behaviors. Age appeared to be inversely related to the addictive use of these technologies. Being male
was significantly associated with addictive use of video games, whereas being female was significantly
associated with addictive use of social media. Being single was positively related to both addictive social
networking and video gaming. Hierarchical regression analyses showed that demographic factors
explained between 11 and 12% of the variance in addictive technology use. The mental health variables
explained between 7 and 15% of the variance. The study significantly adds to our understanding of
mental health symptoms and their role in addictive use of modern technology, and suggests that the
concept of Internet use disorder (i.e., “Internet addiction”) as a unified construct is not warranted.
Research has also demonstrated strong associations between addictive use of technology and comorbid
psychiatric disorders. In the present study, 23,533 adults (mean age 35.8 years, ranging from 16 to 88
years) participated in an online cross-sectional survey examining whether demographic variables,
symptoms of attention-deficit/hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD),
anxiety, and depression could explain variance in addictive use (i.e., compulsive and excessive use
associated with negative outcomes) of two types of modern online technologies: social media and video
games. Correlations between symptoms of addictive technology use and mental disorder symptoms were
all positive and significant, including the weak interrelationship between the two addictive technological
behaviors. Age appeared to be inversely related to the addictive use of these technologies. Being male
was significantly associated with addictive use of video games, whereas being female was significantly
associated with addictive use of social media. Being single was positively related to both addictive social
networking and video gaming. Hierarchical regression analyses showed that demographic factors
explained between 11 and 12% of the variance in addictive technology use. The mental health variables
explained between 7 and 15% of the variance. The study significantly adds to our understanding of
mental health symptoms and their role in addictive use of modern technology, and suggests that the
concept of Internet use disorder (i.e., “Internet addiction”) as a unified construct is not warranted.
PID Serval
serval:BIB_36E2B9D1C97F
PMID
URL éditeur
Date de création
2020-01-10T08:31:01.091Z
Date de création dans IRIS
2025-05-20T18:24:29Z
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Andreassen_POAB_2016.pdf
Version du manuscrit
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Taille
160.87 KB
Format
Adobe PDF
PID Serval
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Somme de contrôle
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