scholarly journals Smart mobile phone usage pattern by students of professional colleges and it’s dependence: A comparative profile

2019 ◽  
pp. 25
Author(s):  
R.D. Ramesh ◽  
A. De ◽  
K. Vijaya
Keyword(s):  
Mobile Phone ◽  
Engineering Students ◽  
Smart Phones ◽  
Usage Pattern ◽  
Mobile Phone Use ◽  
Poor Academic Performance ◽  
Study Population ◽  
Mobile Phone Usage ◽  
Smart Mobile Phone ◽  
Smart Mobile

Background: Mobile phones have become an indispensable part of modern human life. With the ever-increasing utilization of smart phones, several psychological & behavioural problems have emerged. Excessive use of smart phones has also led to poor academic performance among students. Keeping all these points in mind, a study was conducted in professional colleges to obtain base line data. Objectives: To assess the usage pattern of smart mobile phone among students of professional colleges and to evaluate the mobile phone dependence in students of professional colleges. Materials and methods: In Visakhapatnam, a cross-sectional study was conducted among 100 Medical & 100 Engineering students selected by random sampling technique. Data were collected using a pre-designed& pre-tested questionnaire from October 2018 to November 2018. SAS-SV Scale was used to assess the mobile phone dependence. Collation of data was done using inferential statistical methods. Results: The study population of Medical group consisted of 32% males & 68% females; of these 45% were Day scholars & 55% were residents of hostels. The study population of Engineering group consisted of 63% males& 37% females; of these 76% were Day scholars & 24% were residents of hostels. The majority of students in both the professional groups were of the age group of 19 years. While assessing mobile phone usage pattern, it was found that age of initiation of mobile phone use was above15 years in 88.5 % in both the groups. 75%. of students in both the groups were using mobile phone between 1-6 hours a day. 45% of students were using mobile phone at home while 55%were using while on move. While 32% students had Addiction scale more than SAS-SV: cut off 31; factors like daily life Disturbance, withdrawal, cyber space-orientation relationship, overuse etc. 33% students were in the range of being at risk group (SAS-SV: 20 to 30). Out of 19 % Medical & 32% Engineering students who attended calls while driving, 26% & 25% continued conversation while still driving in both the groups respectively.131students often woke up from their sleep to check whether they had a Notification or a Missed call or SMS (P=<0.01). False perception of mobile phone ringing was present among 12% of Medical and 14% of engineering students. Conclusion: The study showed an increased dependence of mobile phone use among Medical & Engineering students, which imparts a negative effect on physical and mental health & also poor academic performance.

scholarly journals Developing a Questionnaire for Mobile Phone Usage Pattern Among University Students Using the Delphi Method

2021 ◽  
Vol 10 (1) ◽  
pp. 52
Author(s):  
Elham Nazari ◽  
Parnian Asgari ◽  
Mehran Aghemiri ◽  
Mohammad Hasan Shahriari ◽  
Azam Zangeneh ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Delphi Method ◽  
Content Validity ◽  
Questionnaire Development ◽  
Usage Pattern ◽  
Mobile Phone Use ◽  
Delphi Round ◽  
The Mean ◽  
Mobile Phone Usage ◽  
Self Administered Questionnaire

Introduction: The rate of mobile phone use among people, especially young people is increasing. The proper use of mobile phone for utilizing the advantages and stay away from its complications is essential. To obtain a model and how to use mobile phone will facilitate planning for preventing complications. So, in this article, questionnaire development with aimed at examining the pattern of mobile phone use among students of Iranian Universities.Methods: In this study a self-administered questionnaire was designed based on a literature review in PubMed, EMBASE, Science Direct, and Google Scholar database and using 2 rounds of the Delphi method with the presence of 10 experts from different fields.Result: In the first Delphi round 6 questions were obtained and in the second round 15 questions were confirmed. The mean of Content Validity Ratio and Content Validity Index for the questionnaire was 93.32 and 92.70, respectively. A questionnaire was designed and developed according to the purpose.Conclusions: Using the designed questionnaire, the mobile usage pattern among student universities can be examined and solutions can be considered for them. This can prevent further consequence.

scholarly journals The association of smart mobile phone usage with cognitive function impairment in Saudi adult population

2020 ◽  
Vol 36 (7) ◽  
Author(s):  
Thamir M. Al-Khlaiwi ◽  
Syed Shahid Habib ◽  
Sultan Ayoub Meo ◽  
Mohammed Saeed Alqhtani ◽  
Abeer A. Ogailan
Keyword(s):  
Cognitive Function ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Adult Population ◽  
Cross Sectional ◽  
Function Impairment ◽  
Mobile Phone Usage ◽  
Smart Mobile Phone ◽  
Smart Mobile ◽  
Moca Score

Background & Objectives: Excessive use of mobile phones has raised a great concern about adverse health effects on human health. The present study’s aim was to investigate the association of the usage of smartphones with cognitive function impairment in the Saudi adult population. Methods: The present cross-sectional study was conducted in the Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia during September 2019 to January 2020. A total of 251 Saudi adults who were using mobile phones were recruited, and knowledge, attitude and practices were assessed by interview using a predesigned proforma. The Montreal Cognitive Assessment (MOCA) tool was employed to assess the cognitive functions, comparison was made between daily mobile phone usage group and their correlated Montreal Cognitive Score (MOCA). Results: The mean age for 251 Saudi adult participants was 32.43±12.8 years. More than 80% of the participants used their mobile phone for more than two hours daily. About 61% of the participants were not aware of the side effect of the radiation generated from mobile phone. The participants showed a decrease in MOCA score with increased daily mobile phone usage (MOCA=26.8 for <1 hour daily usage, 26.1 for 1-2 hours, and 24.6 for >2 hours with P< 0.05). In addition, participants showed decreased MOCA score by keeping their mobile phone near their pillow while sleeping; MOCA=24.35 for near pillow groups and >25.5 for the groups that placed their mobile phone away from the pillow. Conclusions: Excessive use of mobile phones can cause cognitive function impairment. Strict policies must be implemented to control the use of smartphones in order to minimize the effects on mobile phone radiation on cognition. The media has to be on the forefront in educating the public about the proper usage of mobile phones. doi: https://doi.org/10.12669/pjms.36.7.2826 How to cite this:Al-khlaiwi TM, Habib SS, Meo SA, Alqhtani MS, Ogailan AA. The association of smart mobile phone usage with cognitive function impairment in Saudi adult population. Pak J Med Sci. 2020;36(7):---------.  doi: https://doi.org/10.12669/pjms.36.7.2826 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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&lt;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&lt;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

AUTHENTICATION OF FINGERPRINT BIOMETRICS ACQUIRED USING A CELLPHONE CAMERA: A REVIEW

2013 ◽  
Vol 11 (05) ◽  
pp. 1350033 ◽  
Author(s):  
MOHAMMED S. KHALIL ◽  
FAJRI KURNIAWAN ◽  
KASHIF SALEEM
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
High Performance ◽  
Personal Information ◽  
Current Trend ◽  
Recognition System ◽  
Fingerprint Recognition ◽  
Fingerprint Biometrics ◽  
Smart Mobile Phone ◽  
Smart Mobile

Over the past decade, there have been dramatic increases in the usage of mobile phones in the world. Currently available smart mobile phones are capable of storing enormous amounts of personal information/data. The smart mobile phone is also capable of connecting to other devices, with the help of different applications. Consequently, with these connections comes the requirement of security to protect personal information. Nowadays, in many applications, a biometric fingerprint recognition system has been embedded as a primary security measure. To enable a biometric fingerprint recognition system in smart mobile phones, without any additional costs, a built-in high performance camera can be utilized. The camera can capture the fingerprint image and generate biometric traits that qualify the biometric fingerprint authentication approach. However, the images acquired by a mobile phone are entirely different from the images obtained by dedicated fingerprint sensors. In this paper, we present the current trend in biometric fingerprint authentication techniques using mobile phones and explore some of the future possibilities in this field.

An Analysis of Mobile Phone Use in Nigerian Agricultural Development

2017 ◽  
Vol 6 (2) ◽  
pp. 29-46
Author(s):  
Osadebamwen Anthony Ogbeide ◽  
Ideba Ele
Keyword(s):  
Mobile Phone ◽  
Quantitative Data ◽  
Agricultural Development ◽  
Market Access ◽  
Mobile Phone Use ◽  
Mobile Phone Technology ◽  
Questionnaire Administration ◽  
Entire Country ◽  
Mobile Phone Usage ◽  
On Farm

This study used 328 smallholder farmer respondents to investigate its objectives of how farmers use mobile phone technology, what benefits they have gained from the use, and the constraints encountered during the process. The quantitative data collected through a process of questionnaire administration were analysed using Stata 12 software. The results indicate that mobile phone usage for farm and other social purposes has increased with farmers. The farmers also spend almost 40% of their phone bills on farm-related activities and that seeking market information represented 17.32% of the total phone bill in a month. Increased efficiency in input delivery, market access, and output distribution were reported as some of the advantages of using mobile phones. This study was conducted in a region where its general characteristics may not reflect that of the entire country thus generalisation of the study may be limited, so the data should be cautiously use.

Study and Analysis a Powerful Debug Method for Smart Mobile Systems

2011 ◽  
Vol 130-134 ◽  
pp. 4270-4273
Author(s):  
Jian Guo Yuan ◽  
Sheng Gu
Keyword(s):  
Complex Systems ◽  
Mobile Phone ◽  
Software Package ◽  
Random Access ◽  
Random Access Memory ◽  
Exception Handling ◽  
Mobile Systems ◽  
Access Memory ◽  
Smart Mobile Phone ◽  
Smart Mobile

When dealing with such complex systems such as the software package of a smart mobile phone, it is necessary to apply powerful methods to detect and report errors when they occur. This paper probes and analyzes a powerful debug method called trap and exception handling, which is supported by the ARM platforms. The method can easily capture some valuable debug information. When a fatal error occurs during runtime or system detects an abnormal, a trap or an exception shall be logged and stored in the non-volatile random access memory (NVRAM). The information must be enough and easy for engineer to analyze the software error.

Stereovision Imaging in Smart Mobile Phone Using Add on Prisms

3D Research ◽  
2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Jonathan Bar-Magen Numhauser ◽  
Zeev Zalevsky
Keyword(s):  
Mobile Phone ◽  
Smart Mobile Phone ◽  
Smart Mobile
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