Critical Analysis on Influences Wielded by the New Media on Business Affairs in Sri Lanka: A Study with Special Reference to the Mobile Phone Usage

2014 ◽  
Keyword(s):  
Sri Lanka ◽  
New Media ◽  
Mobile Phone ◽  
Special Reference ◽  
Critical Analysis ◽  
Mobile Phone Usage

Health Effects of Mobile Phone Usage

2015 ◽  
pp. 607-629
Author(s):  
Angelo Levis ◽  
Laura Masiero ◽  
Paolo Orio ◽  
Susan Biggin ◽  
Spiridione Garbisa
Keyword(s):  
Mobile Phone ◽  
Health Effects ◽  
Mobile Phones ◽  
Health Risks ◽  
Critical Analysis ◽  
Radiofrequency Radiation ◽  
Head Tumors ◽  
Chronic Effects ◽  
Mobile Phone Usage ◽  
Acute And Chronic Effects

Uncertainty about the association between health risks and exposure to radiofrequency radiation emitted by cellular and cordless mobile phones can be addressed by a critical analysis of the methodology used in studies assessing this relationship. Studies funded by cellphone companies give reassuring conclusions but are affected by biases and flaws, whereas public-funded studies are without these errors and show acute and chronic effects, including head tumors, findings supported by biological evidence.

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

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