Factors influencing dependence on mobile phone

Biglu, Mohammad-Hossein; Ghavami, Mostafa

doi:10.15171/jarcm.2016.026

Cited by 13 publications

(8 citation statements)

References 10 publications

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“…Firstly, the results failed to reject the hypothesis that participants with higher introversion and extroversion scores are more likely to be addicted to their smartphones. These findings are similar to other studies (Biglu & Ghavami, 2016;Hong et al, 2012;Panda & Jain, 2018). Due to the multi-functions provided by a smartphone, it…”

Section: Discussionsupporting

confidence: 93%

Smartphone Addiction: Its Relationships to Personality Traits and Types of Smartphone Use

Rahim

Siah

Tee

et al. 2020

IJTES

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Studies found that smartphone addiction is relevant to the personality of smartphone users, especially the extroverts and introverts. However, the findings of the associations between extroverts/introverts and smartphone addiction are not consistent, and it is suggested that the inconsistency results can be relevant to the types of smartphone use. Accordingly, this study adopts the use and gratification theory as a framework to examine the relationships among extroverts/introverts, smartphone addiction, and the types of smartphone use, and the mediating effect of the types of smartphone use in the relationships between extroverts/introverts and smartphone addiction. Three hundred eighteen undergraduates were recruited to fill in a questionnaire using the purposive sampling method. Results show that both introverts and extroverts are associated with smartphone addiction. However, introverts are more likely to use smartphones for process usage but extroverts for social usage. In addition, process usage but not social usage is positively associated with smartphone addiction. Moreover, only process usage is the statistical mediator for the effects of introverts on smartphone addiction. The findings indicate that intervention programs can be developed to provide more alternative activities to reduce the dependence on smartphones among introverts to gratify their process needs.

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Section: Discussionsupporting

confidence: 93%

Smartphone Addiction: Its Relationships to Personality Traits and Types of Smartphone Use

Rahim

Siah

Tee

et al. 2020

IJTES

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“…On the other hand, some authors [17,[24][25][26][27] point to factors such as the lack of sleep, hyperactivity, insecurity when driving, anxiety, depression, personality disorders, etc., associated to harmful behaviors such as in the use drugs including heroin, alcohol, cannabis, speed, etc., that although not linked to technologies, have been observed in the population who have a problematic use of mobile phones. Nevertheless, some research studies [28] suggest that there is a common factor among the addictive behaviors in the use of substances and the internet, the impulsivity which is manifested, among other aspects, by low academic performance or low levels of concentration, however, this cannot be extrapolated to an addictive use of the smartphone.…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, it should be pointed out that as [11] indicate, the population, who along with adolescents, are the main population at risk of having a problematic use of the devices, are the university students, given that they consider the device as part of them [11,24]. On the other hand, the fear of being left out of relationships and developing the so-called FOMO syndrome [29], makes this population group more susceptible to developing a behavioral disorder, which is translated into the problematic use of the phone.…”

Section: Introductionmentioning

confidence: 99%

Problematic Relationships with Smartphones of Spanish and Colombian University Students

Marín-Díaz

González

Requena

2020

IJERPH

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The presence of smartphones in the lives of the population in general, and of youth in particular, is evident, and is derived from elements such as the diversity of prices as well as the ease of access of all the resources that can be reached through the internet. With the use of a descriptive approach using a quantitative poll, the objective of the present study was to discover the opinions of university students in Spain and Colombia about smartphone use, as well as the consequences of its use, and if this use could derive into so-called problematic smartphone use (PSU). For gathering the information, the Mobile Phone Problematic Use Scale (MPPUSA) was utilized, with a sample size n = 4009. The main result reached was that the model obtained is structured around six factors that determined the elements in light of PSU. The initial conclusion found was that the model applied can be utilized with Colombian students, with young Spanish women and students in the macro area of Social Sciences, the ones who had problematic behavior with the devices, as compared to the Health Sciences students who did not have it.

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“…) use on their smartphones (Gezgin & Çakır, 2016) and as Sterling (2017) suggests, around 80% of social media activities are carried out over smart mobile devices. However, it is also reported that the problematic and excessive use of smartphones, especially due to binging on SNS, leads to an increase in psychological problems worldwide, mainly among young people (Bianchi & Phillips, 2005;Biglu & Ghavami, 2016). Scientific literature refers to these phenomena as "problematic mobile phone use" (Beranuy, Oberst, Carbonell, & Chamarro, 2009;Billieux, Schimmenti, Khazaal, Maurage, & Heeren, 2015) and "smartphone addiction" (Kwon, Kim, Cho, & Yang, 2013;Lin et al, 2014;Oulasvirta, Rattenbury, Ma, & Raita, 2012).…”

Section: Introductionmentioning

confidence: 99%

Understanding Patterns for Smartphone Addiction: Age, Sleep Duration, Social Network Use and Fear of Missing Out

Gezgin¹

2018

CJES

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The aim of this study is to examine high school students and uncover the relationships between Smartphone Addiction levels and certain factors such as (a) Fear of Missing Out (FoMO) (b) Social Networking Site (SNS) usage habits (using smartphones), (c) age, d) sleep duration and (e) duration of smartphone ownership. The study group consists of 161 students from two public high schools in Turkey. Two different scales were employed for data collection; namely, the Smartphone Addiction Scale and FoMO Scale. Based on a cross-sectional research method, this qualitative study makes use of Pearson Correlation and Stepwise Multiple Regression statistical tests. Findings have shown positive correlations interpreted as Smartphone Addiction increasing with greater student age, daily duration of SNS use on smartphones, duration of smartphone ownership, and Fear of Missing Out. In addition, there exists negative-correlation between smartphone addiction and sleep duration, as well as frequency of SNS use on smartphones. Last but not least, it has been shown that FoMO, daily duration of SNSs use on smartphone and duration of smartphone ownership predict smartphone addiction, with the FoMO variable being the strongest predictor.

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Factors influencing dependence on mobile phone

Cited by 13 publications

References 10 publications

Smartphone Addiction: Its Relationships to Personality Traits and Types of Smartphone Use

Smartphone Addiction: Its Relationships to Personality Traits and Types of Smartphone Use

Problematic Relationships with Smartphones of Spanish and Colombian University Students

Understanding Patterns for Smartphone Addiction: Age, Sleep Duration, Social Network Use and Fear of Missing Out

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