ANALYZING THE EFFECT OF MOBILE PHONE USAGE ON HEARING FUNCTIONS

2018 ◽  
Vol 0 (5) ◽  
pp. 0-0
Author(s):  
Ahmet Hamdi KEPEKÇİ ◽  
Beyrul CANBAZ
Keyword(s):  
Mobile Phone ◽  
Mobile Phone Usage

scholarly journals 0013 Mobile Device Use in Bed and Relationships to Work Productivity: Impact of Anxiety

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A5-A5
Author(s):  
A Gozar ◽  
A Seixas ◽  
L Hale ◽  
C Branas ◽  
M Barrett ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Mobile Device ◽  
Productivity Loss ◽  
Work Productivity ◽  
Well Being ◽  
Mobile Phone Use ◽  
Mediating Role ◽  
Mobile Phone Usage ◽  
Device Use ◽  
Healthy Activity

Abstract Introduction Mobile phone use at night is associated with worse sleep quality. It may also be associated with daytime productivity, possibly via anxiety. Methods Data were obtained from the Sleep and Healthy Activity, Diet, Environment, and Socialization (SHADES) study, including N=1007 adults age 22–60. Mobile device use in bed was assessed as the frequency that participants reported: a device in the bedroom, use of the device in bed, texting, emails, internet browsing, calls, and/or social networking in bed, being woken up by the device in a planned (alarm) or unplanned (alert/call/message) way, and checking the phone at night. Each of these were coded as “never,” “rarely,” or “often.” Work productivity was assessed with the Well-Being Assessment of Productivity (WBA-P; scores 0–22 measure productivity loss). Regressions with WBA-P score as outcome and mobile phone variables as predictors were adjusted for age, sex, race/ethnicity, education, and income level. Post-hoc analyses included GAD7 score to examine the mediating role of anxiety. Results The presence of a device was not associated with productivity loss, but frequent use (“often”) was (B=1.26,p=0.01). Increased productivity loss was also seen in those who frequently (“often”) sent texts (B=1.20,p=0.008), browsed internet (B=1.14,p=0.01), emailed (B=2.09,p<0.0005), called (B=1.42,p=0.004), and used social media (B=1.26,p=0.004). Productivity loss was associated with being woken by a call/alert “rarely” (B=1.20,p=0.001) or “often” (B=1.72,p=0.005), but not by alarm. Checking the phone at night “rarely” (B=0.89,p=0.01) and “often” (B=1.73,p<0.0005) were also associated with productivity loss. When anxiety was entered into the model, all relationships except those with frequent emails and calls in bed became nonsignificant. Conclusion Anxiety may be the underlying cause for both increased mobile phone usage and reduced productivity. Reducing anxiety levels may indirectly aid in decreasing nighttime mobile phone use and increasing daytime productivity. Support The SHADES study was funded by R21ES022931 Dr. Grandner is supported by R01MD011600

scholarly journals Investigation of university students’ problematic usage of mobile phone in the context of personalityÜniversite öğrencilerinde cep telefonunun problemli kullanımının kişilik bağlamında incelenmesi

2017 ◽  
Vol 14 (2) ◽  
pp. 1263 ◽  
Author(s):  
Mustafa Kutlu ◽  
Mustafa Pamuk
Keyword(s):  
University Students ◽  
Mobile Phone ◽  
Big Five ◽  
Big Five Personality ◽  
Personality Test ◽  
Spring Period ◽  
Significant Difference ◽  
Mobile Phone Usage ◽  
Faculty Of Education ◽  
Academic Year

Aim of this study is to examine problematic usage of mobile phone in the context of big five personality among university students. 103 male and 182 female, totally 285 university students who were from different Departments of Faculty of Education composed participants of the study in the spring period 2015-2016 academic year. Problematic mobile phone usage scale (PMPUS) and Quick Big Five Personality Test (QBFPT) were applied to 285 students, who were participants of the study. To analyse these data, Pearson’s Correlation Coefficient, Cronbach’s Alpha Coefficients, skewness, kurtosis, t test, and multiple regression were used. According to results obtained from the study, there was no significant difference between male and female in relation to problematic usage of mobile phone. Furthermore, agreeableness, extraversion, and openness to experience didn’t statistically predict to problematic usage of mobile phone, but conscientiousness and emotional stability statistically did. Discussion and some suggestions have been made based on the findings. ÖzetBu araştırmanın amacı üniversite öğrencilerinin cep telefonlarını problemli kullanma davranışlarını beş büyük kişilik bağlamında incelemektir. Araştırmanın katılımcılarını 2015-2016 Eğitim-Öğretim sezonunun bahar döneminde Eğitim Fakültesi’nde öğrenim görmekte olan 103’ü erkek, 182’si kadın olan toplamda 285 üniversite öğrencisi oluşturmaktadır. Araştırmanın katılımcılarına üniversite öğrencileri için problemli cep telefonu kullanım ölçeği (PCTKÖ) ve hızlı büyük beşli kişilik testi (HBBKT) uygulanmıştır. Elde edilen verilerin analizinde Pearson Korelasyon Katsayısı, iç tutarlılığa ilişkin güvenirlik katsayısını hesaplamak için Cronbach Alpha katsayıları, basıklık ve çarpıklık değerleri, cep telefonunun problemli kullanımının cinsiyete göre farklılaşıp farklılaşmadığını belirlemek için t testi ve son olarak da beş kişilik faktörünün cep telefonunun problemli kullanımını yordayıp yordamadığına ilişkin çoklu regresyon analizi yapılmıştır. Araştırmadan elde edilen sonuca göre, cep telefonunun problemli kullanımı cinsiyete göre istatistiksel olarak anlamlı bir farklılığın olmadığı bulunmuştur. Ayrıca uyumluluk, dışadönüklük ve deneyime açıklık kişilik faktörlerinin cep telefonunun problemli kullanımını istatistiksel olarak anlamlı bir şekilde yordamadığı; ancak duygusal denge ve sorumluluk kişilik faktörlerinin istatistiksel olarak anlamlı bir şekilde yordadığı belirlenmiştir. Elde edilen bulgulara dayalı olarak önerilerde bulunulmuş ve tartışılmıştır.

scholarly journals Predicting Negative Emotions Based on Mobile Phone Usage Patterns: An Exploratory Study

2016 ◽  
Vol 5 (3) ◽  
pp. e160 ◽  
Author(s):  
Galen Chin-Lun Hung ◽  
Pei-Ching Yang ◽  
Chia-Chi Chang ◽  
Jung-Hsien Chiang ◽  
Ying-Yeh Chen
Keyword(s):  
Mobile Phone ◽  
Exploratory Study ◽  
Negative Emotions ◽  
Usage Patterns ◽  
Mobile Phone Usage
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