2017
DOI: 10.1016/j.jtcc.2017.05.002
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Gender difference in online activities that determine problematic internet use

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Cited by 12 publications
(12 citation statements)
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References 48 publications
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“…Men spent significantly more time on gaming (in six samples) and pornography (in seven samples) than women, and women spent more time on SNS (six samples) and chatting (significant in four samples). It has already been demonstrated that women spent more time on SNS and social media while men are more prone to use gaming (Dufour et al, 2017;Durkee et al, 2012). As introduced in 4.1., it has already been argue that gambling and pornography are more addictive than other online activities and could lead to problematic use while in our study men are less prone to have PIU than female.…”
Section: Online Activitiesmentioning
confidence: 99%
See 1 more Smart Citation
“…Men spent significantly more time on gaming (in six samples) and pornography (in seven samples) than women, and women spent more time on SNS (six samples) and chatting (significant in four samples). It has already been demonstrated that women spent more time on SNS and social media while men are more prone to use gaming (Dufour et al, 2017;Durkee et al, 2012). As introduced in 4.1., it has already been argue that gambling and pornography are more addictive than other online activities and could lead to problematic use while in our study men are less prone to have PIU than female.…”
Section: Online Activitiesmentioning
confidence: 99%
“…Gender differences might have an influence on PIU and concurrent psychiatric disorders (Ko, Yen, Chen, Yeh, & Yen, 2009) as gender impacts time spent online and the online activities engaged in (Laconi, Tricard, & Chabrol, 2015), both of which influence PIU scores (Dufour et al, 2017;Durkee et al, 2012). The large differences and inconsistencies in previous results on PIU are mainly explained by methodological differences (APA, 2013;Laconi, Rodgers, & Chabrol, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…More specifically, the study examined its reliability, construct and criterion-related validity by computing a MIMIC model using structural equation modeling (SEM) to estimate a measurement model for IGD based on the nine diagnostic criteria from the APA as measured by the IGDS9-SF. The model also accounted for potential effects stemming from observable variables such as time spent playing, gender, and age as the literature suggests that these variables are often relevant predictors of IGD [22,58,72,73]. Overall, based on the results obtained from these analyses it was possible to conclude that the Polish IGDS9-SF presented with excellent psychometric properties concerning its validity and reliability to assess symptoms and the severity of IGD in the sample recruited.…”
Section: Discussionmentioning
confidence: 94%
“…No que concerne às diferenças entre o sexo masculino e o sexo feminino relativamente ao score de dependência da internet, os resultados são mistos. Os nossos resultados são consistentes aos obtidos por vários autores (e.g., Dufour et al, 2017;Rueda, Chávez, & Estrella, 2017;Tran et al, 2017) Ferreiro, Salgado, & Couto, 2015). Deste modo, apesar do crescimento da investigação, não existe uma conclusão consistente sobre as diferenças na prevalência entre o sexo masculino e feminino .…”
Section: Discussionunclassified