Abstract:Objective: To determine the mobile phone addiction level in university students, to examine several associated factors and to evaluate the relation between the addiction level and sleep quality.
Methods: The study is a cross-sectional research conducted on the students of the Sakarya University between 01 November 2012 and 01 February 2013. The study group included 576 students. The Problematic Mobile Phone Use Scale was used for evaluating the mobile phone addiction level and the Pittsburgh Sleep Quality Inde… Show more
“…In addition, Brezing et al (2010) in their review of behavioral addictions in youth alluded to the positive association between depression and problematic internet use in adolescents and college students, where internet use is used as a coping strategy. Likewise, we had similar expectation with regard to the effect of personality type A; once more presumed by findings from earlier studies revealing significant positive association between neurotic personality trait and smartphone addiction in Korean college students (Mok et al, 2014), personality type A and problematic mobile phone use in Turkish university students (Sahin et al, 2013), and type A behavior traits and mobile phone dependence after adjustment for health-related lifestyle habits and depressive state in Japanese medical university students (Masahiro & Satoko, 2013).…”
Section: Discussionsupporting
confidence: 85%
“…Our findings from correlation analysis of a significant positive association between younger age at first use and development of smartphone addiction are comparable to those of Orsal et al (2013) and Sahin et al (2013) which revealed significant associations between younger age at first use of internet (≤ 9 vs. 10-12 vs. ≥ 13 years) and higher internet addiction median score, and between younger age at first mobile phone use (≤13 vs. ≥16 years) and higher mobile phone addiction median score in Turkish university students, respectively. However, they were unlike those of Darcin et al (2016) who did not find any significant correlation between earlier age at first smartphone use and smartphone addiction among a sample of Turkish university students.…”
Section: Discussionsupporting
confidence: 79%
“…Slutske et al (2014) revealed an inverse association between earlier age of initiation of gambling during childhood and adolescence and the likelihood of gambling disorder in adulthood. Sahin, Ozdemir, Unsal, & Temiz (2013) showed problematic mobile phone use to be statistically significantly associated with younger age at first mobile phone use (≤13 vs. ≥16 years) in Turkish university students (n=576, mean age= 20.8 years).…”
mentioning
confidence: 94%
“…In addition only two studies examined the effect, and not the independent effect, of age at first use of a mobile phone on subsequent development of mobile phone addiction (Darcin et al, 2016;Sahin et al, 2013). This study aims to examine the independent association between age at first use and smartphone addiction score among a sample of Lebanese university students.…”
Background: Recent evidence highlighted the potential of habitual smartphone use among youth to become an addiction analogous to established behavioral and substance-related addictions. While investigators revealed independent predictive effects of several sociodemographic factors, personality traits, psychological conditions, and smartphone usage patterns on smartphone addiction (SPA) in university students, none examined the independent effect of age at first smartphone use, a potential predictor variable, on subsequent development of SPA.Objective: This study aims to examine the independent association between age at first smartphone use and SPA score in a sample of 688 Lebanese undergraduate university students.Methods: A random sample of 688 undergraduate students selected from Notre Dame University, Lebanon filled out survey forms that included a) questions on socio-demographics, academics, smartphone use, personality type, depression, anxiety, and lifestyle habits; b) 26-item Smartphone Addiction Inventory (SPAI) Scale. Multiple linear regression analyses were used to examine the independent association between age at first use and SPA level.
Results:Mean age at first smartphone use was about 15 years. Younger age at first use of smartphone was found to be significantly associated with several SPA symptoms and correlated with higher total SPAI score. In the unadjusted regression model, higher total SPAI scores were found to be significantly associated with younger age at first smartphone use. This association remained significant in the partially adjusted model, but disappeared in the fully adjusted one when controlling additionally for smartphone use habits.
Conclusion:Younger age at smartphone use did not independently predict SPA in this sample of students.
“…In addition, Brezing et al (2010) in their review of behavioral addictions in youth alluded to the positive association between depression and problematic internet use in adolescents and college students, where internet use is used as a coping strategy. Likewise, we had similar expectation with regard to the effect of personality type A; once more presumed by findings from earlier studies revealing significant positive association between neurotic personality trait and smartphone addiction in Korean college students (Mok et al, 2014), personality type A and problematic mobile phone use in Turkish university students (Sahin et al, 2013), and type A behavior traits and mobile phone dependence after adjustment for health-related lifestyle habits and depressive state in Japanese medical university students (Masahiro & Satoko, 2013).…”
Section: Discussionsupporting
confidence: 85%
“…Our findings from correlation analysis of a significant positive association between younger age at first use and development of smartphone addiction are comparable to those of Orsal et al (2013) and Sahin et al (2013) which revealed significant associations between younger age at first use of internet (≤ 9 vs. 10-12 vs. ≥ 13 years) and higher internet addiction median score, and between younger age at first mobile phone use (≤13 vs. ≥16 years) and higher mobile phone addiction median score in Turkish university students, respectively. However, they were unlike those of Darcin et al (2016) who did not find any significant correlation between earlier age at first smartphone use and smartphone addiction among a sample of Turkish university students.…”
Section: Discussionsupporting
confidence: 79%
“…Slutske et al (2014) revealed an inverse association between earlier age of initiation of gambling during childhood and adolescence and the likelihood of gambling disorder in adulthood. Sahin, Ozdemir, Unsal, & Temiz (2013) showed problematic mobile phone use to be statistically significantly associated with younger age at first mobile phone use (≤13 vs. ≥16 years) in Turkish university students (n=576, mean age= 20.8 years).…”
mentioning
confidence: 94%
“…In addition only two studies examined the effect, and not the independent effect, of age at first use of a mobile phone on subsequent development of mobile phone addiction (Darcin et al, 2016;Sahin et al, 2013). This study aims to examine the independent association between age at first use and smartphone addiction score among a sample of Lebanese university students.…”
Background: Recent evidence highlighted the potential of habitual smartphone use among youth to become an addiction analogous to established behavioral and substance-related addictions. While investigators revealed independent predictive effects of several sociodemographic factors, personality traits, psychological conditions, and smartphone usage patterns on smartphone addiction (SPA) in university students, none examined the independent effect of age at first smartphone use, a potential predictor variable, on subsequent development of SPA.Objective: This study aims to examine the independent association between age at first smartphone use and SPA score in a sample of 688 Lebanese undergraduate university students.Methods: A random sample of 688 undergraduate students selected from Notre Dame University, Lebanon filled out survey forms that included a) questions on socio-demographics, academics, smartphone use, personality type, depression, anxiety, and lifestyle habits; b) 26-item Smartphone Addiction Inventory (SPAI) Scale. Multiple linear regression analyses were used to examine the independent association between age at first use and SPA level.
Results:Mean age at first smartphone use was about 15 years. Younger age at first use of smartphone was found to be significantly associated with several SPA symptoms and correlated with higher total SPAI score. In the unadjusted regression model, higher total SPAI scores were found to be significantly associated with younger age at first smartphone use. This association remained significant in the partially adjusted model, but disappeared in the fully adjusted one when controlling additionally for smartphone use habits.
Conclusion:Younger age at smartphone use did not independently predict SPA in this sample of students.
“…Even though according to the above-mentioned TUIK, mobile telephone use in Turkey is very high, there are only recent and few studies regarding the problematic use of mobile phones (5,9,(13)(14)(15)(16)(26)(27)(28)(29). For problematic mobile phone use in Turkey, we can find two adapted instruments (26,28) and one scale developed for adolescents (29).…”
Development of a Problematic Mobile Phone Use Scale for university students: validity and reliability studyObjective: This study aims to develop a Problematic Mobile Phone Use Scale (PMPUS) to determine the problematic mobile phone use by university students.Method: Study participants for exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were 725 university students, for test-retest 126 university students. The psychometric characteristics of the scale were investigated using test-retest, internal consistency (Cronbach's alpha), item analysis, EFA, CFA, and criterion-related validity methods.Results: According to results obtained from exploratory factor analysis, it was determined that PMPUS had four subdimensions. Confirmatory factor analysis confirmed this four-subdimension structure. Reliability data for the PMPUS found Cronbach's Alpha coefficients of 0.92 for EFA and 0.93 for CFA, respectively. Test-retest coefficient for PMPUS was 0.85. Furthermore, a positive, high correlation (r=0.75) was found between PMPUS and Mobile Phone Problem Use Scale (MPPUS). Subscales of PMPUS also showed the required values for validity and reliability.Conclusion: According to the results, PMPUS is a reliable and valid scale with 26 items in four subdimensions.
Aim
To explore the levels of mobile phone addiction and burnout and their relationships among novice nurses.
Design
A cross‐sectional investigation design.
Methods
Questionnaires were distributed to 400 novice nurses in five public hospitals in China. A total of 366 participants completed the survey. Data collected in 2020 were analysed by using descriptive statistics, an independent
t
test and Pearson's correlation analysis.
Results
The results showed that the frequency of nursing adverse events was associated with higher level of mobile phone addiction in novice nurses, and 52.46% of the participants (
N
= 366) presented a high level of occupational burnout. Moreover, the results indicated that there was a positive correlation between the novice nurses’ mobile phone addiction level and burnout (
r
= .33,
p
< .01).
Conclusion
The level of mobile phone addiction may affect nursing adverse events and nurses’ burnout. Education on novice nurses’ mobile phone use seems necessary to ensure patient safety and burnout prevention.
Impact
Findings of this study expanded important knowledge about mobile phone addiction and its potential influence on nursing safety and nurse burnout and may place significant implications to staff nurse management and in‐service education.
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