Effect Of Smartphone Usage Research Articles

Beyond screentime: a 7-day mobile tracking study among college students to disentangle smartphone screentime and content effects on sleep

ABSTRACT Health professionals and scholars alike consider evening smartphone use an important public health challenge. Existing research on the effects of smartphone usage on sleep has three limitations, namely reliance on self-report measures of smartphone use and/or sleep, limited attention to within-person effects, and a focus on general screentime rather than specific app usage. The current study addressed these limitations by conducting a seven-day study assessing smartphone use and sleep with a combination of subjective and objective measures among 75 students. The findings do not support the assumption that evening smartphone interferes with sleep. We did observe between-person relationships between specific indicators of smartphone usage and sleep, e.g. sleep quality was positively related to the use of meditation apps, and negatively related to the use of work-related apps. These findings indicate research should focus on what individuals do on their phones instead of how much time they spend.

Effect of smart phone usage on hand grip, pinch strength, and upper extremity function among college student in selected places of Bengaluru

Effect of smart phone usage on hand grip, pinch strength, and upper extremity function among college student in selected places of Bengaluru

Effect of Smartphone Usage and Quality of Sleep in Physiotherapy Student in Ahmedabad City: An Observational Study

Introduction: Increasing Smartphone use has led to the Smartphone addiction as a behavioral addiction with detrimental effects on health. This phenomenon has not been widely studied in the Indian context. This study aims to assess the correlation between Smartphone addiction and Quality of Sleep-in physiotherapy students in Ahmadabad city. Methodology: This observational analytical study included 214 physiotherapy students who studied in different physiotherapy colleges in Ahmadabad city. Written informed consent was taken from those willing to participate and fulfilling inclusion and exclusion criteria and was included in the study. Assessment was done according to the proforma. Each student’s individual filled Smart phone addiction scale (SAS) and Pittsburgh sleep quality index (PSQI) respectively. Results: In present study 82% students were addicted with Smartphone whereas 18% students were non-addicted with Smartphone. 72% students have poor sleepers whereas 28% students have good sleepers. The moderate positive correlation between of Smartphone addiction and Quality of Sleep among physiotherapy students in Ahmadabad city. Conclusion: This study showed that inordinate use of smartphone is prevalent among physiotherapy students and is related to poor sleep quality. Proper sleep is a must for physiotherapy students as acquiring professional-level learning as well as clinical skill is crucial for them. In physiotherapy students poor sleep quality can have its impact on various areas such as efficacy, mental and physical health. Keywords: Quality of Sleep, Smartphone, Physiotherapy

Effect of Smartphone Usage on Handgrip Strength and Key Pinch Strength in Collegiate Students

Effect of Smartphone Usage on Handgrip Strength and Key Pinch Strength in Collegiate Students

Effect of Smartphone Use on Static and Dynamic Postural Balance in Healthy Young Adults

Purpose The purpose of this study was to investigate the possible effects of smartphone usage in the biomechanical balance system. Method Twenty-five healthy young adults (10 men, 15 women) between the ages of 18 and 25 years without balance problems were included in the study. Sensory organization, adaptation, rhythmic weight shift, and functional limitation tests (unilateral stance, sit to stand, walk across, tandem walk, step quick turn, step up down, forward lunge) have been applied. Results Significant results were obtained in parameters of sensory organization, tandem walk, walk across, and unilateral stance tests (p < .05). Conclusion The effects of using smartphones on postural control and balance in different circumstances, such as standing and walking, must be comprehensively determined to prevent accident.

Smartphone Usage at Bedtime: The Effect of Sleep–Smartphone Hygiene, Trait Anxiety, and FOMO on Sleep Quality

The present study was aimed to examine the relationship of sleep–smartphone hygiene, i.e., the habits of smartphone usage in the sleep environment, with the sleep quality among students and whether this relationship could be explained through psychological factors. A total of 467 Israeli college students were investigated using five questionnaires, namely, Sleep–Smartphone Hygiene Questionnaire (SSHQ), Fear of Missing Out Scale (FoMOs), Trait Anxiety Inventory (STAI-T), Pittsburgh Sleep Quality Index (PSQI), and a demographic questionnaire. The analysis of the collected data revealed positive Pearson’s correlations among sleep–smartphone hygiene, trait anxiety, FOMO, and sleep quality. The moderation model was observed to be significant, indicating that sleep quality could be predicted on the basis of sleep–smartphone hygiene, trait anxiety, and FOMO, which together explained 20% of the variance in the sleep quality. Trait anxiety was determined to be a moderating variable for the relationship between sleep–smartphone hygiene and sleep quality. These findings have important implications in understanding the effect of smartphone usage on sleep quality and developing an evidence-based intervention program for the students to cope with the impairment of sleep quality. It is recommended to design interventions that would address both behavioral change and the intrapersonal aspects such as trait anxiety.

Effects of Smartphone Usage on Health and Education of School Students

In this cross-sectional study on 80 students, of classes 9 to 12, it was revealed that excessive use of smart phone had ill effects on mental and physical health of users. Only a suitable intervention by school nurse by way of counselling to students, parents and teachers appears to be an appropriate measure to restrain the smart phone usage by students.

Use of Smartphones in Class: Examining the Relationship Between M-Learning Readiness, Cyberloafing, Nomophobia and Addiction Variables

The aim of this study is to examine the relationship between pre-service preschool teachers' mobile-learning (m-learning) readiness, cyberloafing, nomophobiaand smartphone addiction variables. The study was carried out using 306 pre-service preschool teachers undergoing education at state-run universities in two different cities in Turkey. The most critical conclusion of the study is that the smartphones used by pre-service preschool teachers both for m-learning and for cyberloafing in class have an impact on nomophobia and smartphone addiction. In the study, the effects of smartphone usage on both the learning environment and the individual were discussed in accordance with the proposed model. Suggestions for the use of smartphones were made in line with the study's conclusions.

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The Effects of Smartphone Usage on University Students

This study examined the daily usage of smartphones by university students. The study utilised a questionnaire via Google form to elicit information from 106 tertiary level students that had agreed to participate in the research. The data obtained from the survey was compiled into tables to categorize the respondents into hours they had spent using their smartphones. A descriptive quantitative analysis was used to examine the findings in the study. Results indicate that too much time spent on smartphones late night affects students’ quality of sleep, which in turn affects students’ state of mind in the next day. In addition, it was found that students in the 18-30 age range are the ones most affected in their social interactions because of the reliance on smartphones. Findings also indicated that university students’ excessive smartphone use during the night has negative effects on their well-being. They are unable to concentrate during lectures the following day, often feeling sleepy during the day, and face difficulties handling the day to day pressures, as well as, thinking rationally whenever problems occur. In addition, results also revealed that when university students rely too much on their mobile phones, they become anxious when their gadgets are not with them. In short, students’ dependency on their smartphones affects them both physically and psychologically.

IMPACT OF SMART PHONE USAGE ON SLEEP, MELATONIN AND ITS CORRELATION WITH ANXIETY AND DEPRRESSION IN FIRST YEAR MEDICAL STUDENTS

Significant increase in the smart phone use had been associated with various effect on the health. Various theories have proposed for sleep, circadian rhythm disturbances and studies have shown effect on melatonin levels and mental health. The objective of this study was to evaluate the effect of smart phone on sleep time, sleep duration and serum melatonin levels. To determine academic and non-academic usage and its correlation with academic performance. Effect of smart phone usage on the mental health i.e. anxiety and depression in young adult first year medical students. Sample size was 100 , 3 were absent. A brief questionaries’ was asked to all the study group regarding usage of mobile phone and sleep hours in night. 9 A.M Morning fasting blood samples were taken and serum melatonin was estimated by ELISA kit. Hamilton’s anxiety scale and Hamilton’s depression scale was applied to the study group. Study had shown the smart phone usage was having an impact on sleep. Study have shown late bedtime, long sleep duration in the students with high user group. This may be result of sleep displacement and circadian rhythm disturbances. Low levels of melatonin in high users as compared to low users, which may be due to exposure EMF leading to circadian rhythm disturbance. The academic and the non- academic usage was significantly high in high users, but with no significant difference in the academic performance. High academic usage of smart phone may lead to better academic performance despite of late bedtime. Non-academic usage of smart phone may cause emotional arousal leading to anxiety. Anxiety and depression score was high in high users group, but the difference was not statistically significant. But it is not clearly understood whether the smart usage is responsible for anxiety and depression or anxiety and depression causes high smart phone usage. Smartphones affect the academic lives of the undergraduate medical students. This study can conclude with the fact that using smartphones made an impact on students both positively and negatively. KEYWORDS: - Smart phone, sleep, Melatonin, Anxiety, Depression

The effect of smartphone usage on student discipline, motivation and learning achievement

This study aims to explain the effect of smartphone use on student mathematics learning achievements. The method used in this study is the collection of correlation data using questionnaires and interviews. The subjects of the study were 158 students at the Al Azhar 7 Islamic Middle School in Sukabumi. This research is based on the use of smartphones among students, whose intensity is increasingly increasing, has even become a trend. Uncontrolled use of smartphones results in discipline, motivation and learning achievement being interrupted. The first process is to look for the influence of intensity of smartphone usage on students’ learning discipline, on motivation and on student achievement. The research instrument consisted of 12 items of student learning activities and 14 items of smartphone use, 14 items of learning motivation. The data analysis method used is the Validity Test and Reliability Test techniques. Based on the data analysis (assumptions) that have been done, the results of the research from Pearson Corelation show that r = 0.321 with P = 0.000 (P <0.05). This means there is a relationship (-) between the intensity of smartphone use with discipline, motivation and learning achievement of students. This means that the higher the intensity of smartphone use, the lower the discipline, motivation and learning achievement of students, and vice versa. The intensity of smartphone use gives a large percentage of students’ discipline, motivation and learning achievement, while the rest is determined by other variables not examined. The results of this study’s data analysis that the relationship between the intensity of smartphone use and discipline, motivation and learning achievement of students is inversely or inversely. So that the conclusions in this study can be said that smartphone use in class VII has a negative relationship between the intensity of smartphone usage with acceptable student learning discipline, but smartphone use in class VIII is inversely proportional, because although the intensity of smartphone use in class VIII is high but achievement they are still good, their tap can divide the time between smartphone use and learning.

Effects of Smart Phone Usage and Its Addiction Among College Students in Nagpur City

In today’s scenario, Internet and mobile phones especially smart phones are playing a vital role among students in their education and daily life’s. The use of smart phone became very popular for its effective educational, behavioural and entertaining features in their daily lifestyle and attitude towards their studies. However, usages of smart phone have positive and negative effects among students. More usage of smart phone generally makes the students addicted to it and that effect on student’s health, behaviour, attitude, thinking and academic performance. Therefore, the aim of the current study is to find out the various patterns of smart phone usage in their day to day life. And also aims are to identify the factors that affect the level of smart phone addiction to the students and its pros and cons on their overall academic performance and physical and mental health

Hands on the Wheel, Eyes on the Phone: the Effect of Smart Phone Usage on Road Safety

We provide novel evidence on the effect of smart phone use on road accidents. We exploit variation in phone usage fees in the Netherlands following a change in European Union (EU) roaming regulations implemented in 2017. The growth rate of mobile data roaming increased substantially after the change, which allows us to estimate a difference-in-differences model where non-Dutch drivers from the EU are treated, while Dutch drivers serve as control group. Our results suggest that around 10% of vehicles involved in accidents can be explained by the use of smart phones, and that these accidents mainly happen on urban roads.

Assessment of the impact of Smartphone Technology on Tour Guide Performance in Kenya

Several studies have been conducted to examine the influence of technology on the travel and tourism industry. However, there exists limited literature on the adaptation and usage of Smartphone technology by Kenyan tour guides, a gap this study sought to address. The objective of the study was to examine the effect of Information Communication Technology (ICT) on tour guiding performance in Kenya, investigate the effect of smartphone usage on the guides’ performance and finally, explore the possibility of adoption smart guiding techniques by Kenya’s tour guides. The study used descriptive methods and target practicing tour guides as the respondents. The data collected was analyzed using the Pearson’s Chi-square test of independence. The findings indicated Smartphone technology positively influenced guides, performance (χ2=65.025;df 2; P&lt;0.05).The study concluded that smartphone and information communication technology have significantly influenced guides performance and hence recommend to the government and other stakeholders to invest more in infrastructure that supports smart destinations, which offer interactive pre-tour services, during the tour and post-tour experiences. Innovation on applications that support real-time interaction with attractions, accommodation and financial institutions is recommended.

Social And Health Related Effects of Smart Phone Usage Among University Students

Objective: To assess the social and health related effects of smart phone usage among the students of a public university in Karachi. Study Design and Setting: Cross sectional study conducted on students of a public university of Karachi from July 2018 to October 2018 Methodology: A research questionnaire was distributed among students of a public university in Karachi. This anonymous questionnaire addressed the perceptions of the university students regarding usage of smart phones and its effects on health and social life. A total of 150 students were included in the study. The variable checked were effects on eyesight, whether the students feel relaxed or suffered from depression, experiences of headache, the effect on the students’ studies and family issues. Data was entered in SPSS version 23 and frequencies were calculated. Chi-square was applied on each variable and p-value less than 0.05 was considered significant. Result: One hundred and fifty students participated, of which 75 were females and 75 were males. It was observed those females were using WhatsApp more than their male counterparts. Males showed a slightly higher frequency of using Facebook and other internet Apps. From the total sample 66.6% noticed decrease in their eye sight, 17% are depressed, 38% had headache, 42% had bad effects on their studies and 43% had family related issues due to usage of smart phone Conclusion: Use of smart phone has many adverse effects on university students like poor eye sight, depression, headaches, effects on studies and family issues

Enlighten the Effect of Smartphone Usage on Employee Engagement and Employee Performance in Higher Educational Institutions

Use of smartphones by employees of higher educational institutions has been a universal fact in current time. It is an absolute device of an adult’s daily routines and is now the most accepted communication form. Indeed, the Smartphone has turned from a scientific tool to a social platform. The mobile phone usage by the employees in higher educational institutions may link by some people as a distraction, which might reduce productivity at work. Some also may be of the view that the usage of smartphone improves communication across and as such impact increases productivity. The purpose of this paper is to investigate the employee’s mobile phone usage dependency and its impact on their outputs, bring out the degree of employee connect at their work place in the universities. The objective here is finding the relation between smartphone usage and employee productivity, this involves data collation based on description of the phone usage trend such as frequency of internet browsing, information seen/searched, web pages viewed and evaluating the effects of smartphones on employee’s academic related activities. The time spent on the mobile devices by employees in institutions were also compared with one another focusing on employee engagement and their performance sentiment respectively. The conclusion of this study indicates towards the need to evaluate and acknowledge the instructional usage of mobile devices in higher educational institution’s employee’s engagement and their performances.

Effect of smartphone use on hand dexterity in medical students: an observational cross-sectional study

Background: The use of smartphone has increased over the past few years and is predicted to increase in future. The literature emphasizes the effect of smartphone usage on the neuromuscular activity and development of musculoskeletal disorders. The literature studying the effect of smartphone usage on hand function dexterity is limited. Hence, the study was formulated to find the effects of smartphone usage on hand dexterity using Purdue Pegboard Hand Dexterity Test and Smartphone Addiction Scale (SAS) as evaluation tools. Objectives: The research was designed to study the effect of smartphone use on bilateral hand dexterity in medical students. Design: An observational cross-sectional study design was chosen for the research. Methods: After institutional ethics committee approval, a sample of 220 medical students was recruited using convenient sampling for this observational cross-sectional study. SAS, a self-reporting scale, was administered to each medical student, and one-time assessment for hand dexterity on the standard Purdue Pegboard Hand Dexterity Test was performed. The scores of SAS were categorized as low ( 106). The mean scores of the Purdue Pegboard Hand Dexterity Test were compared within the categories and with the available Indian norms using descriptive statistical methods, single sample t-test, and ANOVA analysis. Results: A positive correlation (r = 0.31, P = 0.00, 95% confidence interval [CI]: 0.18-0.42) was found between SAS scores and time spent on smartphone. Hand dexterity (Purdue Pegboard Hand Dexterity Test) scores did not show any statistically significant correlation with the time spent on the smartphone and SAS scores, except “dominant” and “total” scores of the test. The “Total” score correlated as weak negative with SAS scores (r = −0.16, P = 0.01, 95% CI: −0.14-0.11); on association analysis with the categories of SAS, statistically significant difference between the mean scores (P = 0.035, 95% CI: 40.33-41.47) was observed. The “Dominant” score correlated as weak negative with SAS scores (r = −0.155, P = 0.045, 95% CI: −0.149-0.116); the association analysis with the categories of SAS did not show any significant difference. Significant difference was observed between the mean hand dexterity test scores of our study sample and the available Indian norms of the Purdue Pegboard Hand Dexterity Test. Conclusion: This study concluded that the duration of active smartphone use (texting and scrolling) does not affect the hand dexterity. However, excessive smartphone usage (high SAS scores) may have a weak negative impact on dominant hand dexterity in medical students.

Effect of Smartphone Usage on Cognition and Balance in Geriatric Individuals

Introduction: Smartphone is a device which has features of both a computer and a mobile device. These new technologies appear to be associated with greater integration into peer groups and even increased cognitive abilities such as faster task-switching. Mobile phones adoption is increasing amongst elderly population and the potential benefits of mobile phone usage. Over the age of 65, 1 in every 3 adults will suffer from fall, and given the explosion in the number people living today over 65 years of age, falls are major healthcare crisis. Mobile phone users adapt their visual search behavior and gait to incorporate mobile phone use in a safe manner when negotiating static floor based obstacles. It’s improving their balance while using phones. Objectives: The main objective of this study is to evaluate the effect of Smartphone usage on Cognition and balance on geriatric individuals. Method: 135 geriatric individuals in the age group of 60-75 are selected having a graduate degree and are using smart phone. Individuals should have independent according to Functional independence scale. After the selection on the basis of criteria, geriatric individuals will be divided into 3 groups of 45 each. Group A will be the subjects who do not use smart phone, Group B will be the subjects who use smart phone less than 4 hours and Group C will be the subjects who use smart phone more 4 hours. All the three groups will be measured for cognition with the help of Addenbrooke Cognitive Examination and balanced will be assessed through Berg Balance Scale. Statistical Analysis: Descriptive Statistics, ANOVA test

The effect of smartphone usage on physical capacity in young people

Objective: As a necessity of modern life, the duration of smartphone usage is getting longer. The aim of this study was to investigate the relationship between the levels of smart phone use and physical activity and exercise capacities among university students aged 18-25. Methods: Ninety-three volunteer persons (female=50, male=43) who ages between 18 and 25 years participated in the study. Having collected participants’ demographics informa-tion, smartphone addiction level was assessed by the Smartphone Addiction Scale-Short Version, physical activity level was assessed by International Physical Activity Questionnaire-Short Form and exercise capacities were assessed by 6 Minute Walk Test. Results: It was found that 52.69% of the participants defined themselves as addicted to smartphone use. There was no significant difference in the level of smartphone addiction between male and female individuals. There was no significant difference between participants' daily use of smartphones and physical capacity. However, 67.8% of smartphone users decreased their physical activity levels independently of duration. Conclusion: Our study finds that smartphone usage does not affect the physical capacity of the young age group however, it seems that it may lead to physical inactivity as a psychosocial problem.