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1
Dubatova, Irina Vladimirovna, and Andrey Viktorovich Antsyborov. "The era of «steel apples» and «green robots». Smartphone addiction: a medical problem, a cultural phenomenon, or a fiction media?" Interactive science, no. 9 (43) (September 19, 2019): 8–21. http://dx.doi.org/10.21661/r-498006.
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The article is devoted to the one of acute problems of society, that is smartphone addiction, because in recent decades, «smart» devices become ingrained in our everyday lives of almost every person. The sphere of interest of many scientific studies is the study of «high-tech» addictions. One of the particular forms of this type of addictive disorder is smartphone addiction. Currently, there is an expansive increase in the prevalence of smartphones on various hardware and software platforms. The authors of the article wonder whether smartphone addiction can be a form of behavioral addiction or we may consider it a part of the «problematic» use by healthy people? To solve this problem, this review examines the correlation relationships between substantive and behavioral addictions based on existing criteria for diagnosing addictive disorders, and also outlines the socio-cultural boundaries of smartphones use.
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Nikolić, Aleksandra. "Smartphone addiction." Zdravstvena zastita 50, no. 2 (2021): 45–56. http://dx.doi.org/10.5937/zdravzast50-32712.
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The number of smartphone users worldwide exceeds three billion today and further growth of several hundred million is projected over the next few years. The development of multifunctional smartphones and their use have changed the way of communication and information, but also led to concerns about their excessive use and dependence. In recent years, research on smartphone addiction has been on the rise. Parallels between excessive smartphone use and behavioral addiction are common in research. According to many authors, "smartphone addiction" can be considered a behavioral addiction. There is evidence for structural and functional changes in the brain, characteristic of behavioral addictions, in people who meet the psychometric criteria for "smartphone addiction." Some authors even suggest criteria for diagnosing smartphone addiction. On the other hand, some authors believe that the use of the term "addiction" can misrepresent the severity of the disorder, and therefore suggest the use of the term "problematic smartphone use". Due to growing concerns about the excessive use of smartphones, much is being done to identify and assess problematic smartphone use, mainly through the development and application of behavioral assessment scales. These scales are specially developed and validated to identify problematic smartphone use or to diagnose people with smartphone addiction, overuse, excessive phone attachment, etc. However, despite the fact that most of these scales are designed to be used for clinical purposes in the future, the problematic use of smartphones as a type of addiction is not in the International Classification of Diseases and these scales are still used only for research purposes. The use of the terms " problematic smartphone use " and "smartphone addiction", different methodological approaches used in the study, such as the application of different scales and the lack of standardized diagnostic criteria, make it difficult to define "smartphone addiction". All this supports the fact that "smartphone addiction" is a complex phenomenon that requires additional research.
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Yu, Sheila, and Steve Sussman. "Does Smartphone Addiction Fall on a Continuum of Addictive Behaviors?" International Journal of Environmental Research and Public Health 17, no. 2 (January 8, 2020): 422. http://dx.doi.org/10.3390/ijerph17020422.
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Due to the high accessibility and mobility of smartphones, widespread and pervasive smartphone use has become the social norm, exposing users to various health and other risk factors. There is, however, a debate on whether addiction to smartphone use is a valid behavioral addiction that is distinct from similar conditions, such as Internet and gaming addiction. The goal of this review is to gather and integrate up-to-date research on measures of smartphone addiction (SA) and problematic smartphone use (PSU) to better understand (a) if they are distinct from other addictions that merely use the smartphone as a medium, and (b) how the disorder(s) may fall on a continuum of addictive behaviors that at some point could be considered an addiction. A systematic literature search adapted from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was conducted to find all relevant articles on SA and PSU published between 2017 and 2019. A total of 108 articles were included in the current review. Most studies neither distinguished SA from other technological addictions nor clarified whether SA was an addiction to the actual smartphone device or to the features that the device offers. Most studies also did not directly base their research on a theory to explain the etiologic origins or causal pathways of SA and its associations. Suggestions are made regarding how to address SA as an emerging behavioral addiction.
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Mâalej, M., M. Turki, C. Nada, S. Hentati, O. Sana, Z. Nassreddine, Z. Lobna, B. T. Jihène, and M. Mohamed. "Smartphone for Mental Health Patients: A Double-edged Weapon?" European Psychiatry 41, S1 (April 2017): S148. http://dx.doi.org/10.1016/j.eurpsy.2017.01.1996.
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IntroductionThe current development of new technologies dedicated to healthcare, such as smartphones, provides an interesting opportunity to improve both assessment and follow-up of different illnesses, particularly mental diseases.AimTo investigate, the contributions and risks of smartphone use among mental health patients.MethodsWe conducted a literature research of PubMed and Sciencedirect using the key words “smartphone”; “bipolar disorder”; “schizophrenia”; “anxiety disorders”; “addiction”; “dementia”.ResultsLiterature data provide several examples of the use of the smartphone's features for patient monitoring. One such example involved patients with Alzheimer disease. An attempt to deal with the risk of wandering was proposed with the use of the Android app iWander, which works by using the smartphone's GPS to track the patient at all times. As for bipolar disorder, several applications have been proposed both for diagnostic ic instruments…) and interventional purposes (applications that offer subjects psycho-education in the form of emotional self-awareness…). Several other applications can be used in the management of schizophrenia, social anxiety disorder and addictions. Along with its obvious benefits, however, the smartphone use has a dark side. Problematic smartphone use is one form of behavioral addiction recently identified. In addition, the access to Internet through the smartphone opens the door to Internet addiction and its sub-types (cybersexual addiction, cyber-relationship addiction…).ConclusionThe use of smartphone for medical purposes must be cautious among mental health patients, because of a field of vulnerability that promotes the appearance of other mental diseases, especially addictions, which may darken their prognosis.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Pearson, Claire, and Zaheer Hussain. "Smartphone Use, Addiction, Narcissism, and Personality." International Journal of Cyber Behavior, Psychology and Learning 5, no. 1 (January 2015): 17–32. http://dx.doi.org/10.4018/ijcbpl.2015010102.
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There are increasing numbers of people who are now using smartphones. Consequently, there is a risk of addiction to certain web applications such as social networking sites (SNSs) which are easily accessible via smartphones. There is also the risk of an increase in narcissism amongst users of SNSs. The present study set out to investigate the relationship between smartphone use, narcissistic tendencies and personality as predictors of smartphone addiction. The study also aimed to investigate the distinction between addiction specificity and co-occurrence in smartphone addiction via qualitative data and discover why people continue to use smartphones in banned areas. A self-selected sample of 256 smartphone users (Mean age = 29.2, SD = 9.49) completed an online survey. The results revealed that 13.3% of the sample was classified as addicted to smartphones. Higher narcissism scores and neuroticism levels were linked to addiction. Three themes of social relations, smartphone dependence and self-serving personalities emerged from the qualitative data. Interpretation of qualitative data supports addiction specificity of the smartphone. It is suggested smartphones encourage narcissism, even in non-narcissistic users. In turn, this increased use in banned areas. Future research needs to gather more in-depth qualitative data, addiction scale comparisons and comparison of use with and without SNS access. It is advised that prospective buyers of smartphones be pre-warned of the potential addictive properties of new technology.
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Sheinov, Viktor P. "Relationship of smartphone dependence with personal states and properties." Journal of the Belarusian State University. Sociology, no. 4 (December 28, 2020): 120–27. http://dx.doi.org/10.33581/2521-6821-2020-4-120-127.
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Numerous studies show that smartphone addiction has a detrimental effect on many important aspects of modern life. The purpose of this article is an analytical review of foreign studies on the relationship between smartphone addiction and psychological states and personality traits. The adverse effects of excessive use of smartphones for physical and mental health were found in the form of depression, anxiety, stress, negative emotions, insomnia, poor sleep quality, and low physical activity. Excessive smartphone use predicts low self-regulation and poor self-control. Excessive smartphone communication makes people less empathetic to each other, resulting in a loss of empathy and a deterioration in emotional connection with others. Smartphone addiction is positively associated with attention deficit disorder, hyperactivity disorder, compulsive behaviour, and procrastination. Smartphone addiction to social media is linked to interpersonal issues and contributes to non-assertive behaviour and exposure to cyberbullying. The most active smartphone users receive the highest scores for addictive behaviour. Of the personality traits of individuals, loneliness and shyness are the strongest predictors of smartphone addiction. Smartphone addiction negatively affects communication skills. Unmarried people are more dependent on the smartphone. Women are more dependent on smartphones than men.
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Othman, Mohd Kamal, and Mohd Yasin Mohd Amin. "A cross-generational comparison of smartphone addiction among Gen X and Gen Y smartphone users in Malaysia." International Journal of Public Health Science (IJPHS) 11, no. 1 (March 1, 2022): 320. http://dx.doi.org/10.11591/ijphs.v11i1.21240.
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This study reported the prevalence of smartphone addiction among Gen X and Gen Y in Sarawak, Malaysia. This study compared the two generations, X and Y, on smartphone addictive behaviour. It is important to understand their addiction to smartphones. Two hundred thirty-six participants were recruited using a Facebook advertisement, consisting of 122 males and 114 females aged 16 to 55. The smartphone addiction scale-malay (SAS-M) was used to assess smartphone addiction. The data was analysed using IBM SPSS. The result shows that Gen Y is more addicted to a smartphone than Gen X for all components of SAS-M, but there is no significant difference between female and male users for both generations in smartphone usage. In addition, there is a significant difference in the cyberspace-oriented relationship between Gen X and Gen Y. Furthermore, Gen Y had lost control of the use of smartphones compared to Gen X, which reflects the overuse and primacy components that lead to daily life disturbances. Positive anticipation and withdrawal were also observed between the two generations. In conclusion, there is a significant difference between Gen X and Gen Y in smartphone addictive behaviour, implying that Gen Y is a more compulsive user than Gen X. It is important to understand this addictive behaviour and provide an intervention measure to ensure that this will not become a psychological issue. The intervention measure is important to improve mental health and psychological wellbeing.
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Fathya, Rita, Kartika Sari, Marty Mawarpury, and Afriani Afriani. "Tingkat Smartphone Addiction pada Penduduk di Kota Banda Aceh." Jurnal Psikologi 16, no. 2 (December 22, 2020): 202. http://dx.doi.org/10.24014/jp.v16i2.9794.
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The use of smartphones is a basic necessity at this time, but excessive use can lead a bad impact, one of them is smartphones addiction. Smartphone addiction is a form of attachment to smartphones that allows social problems such as withdrawal and daily disturbance. This study aims to determine the level of smartphone addiction on society in Banda Aceh. Using a quantitative design with a survey method, the respondents of this study were 500 people, with sample collection techniques using unrestricted self-selected surveys. Research data collection was obtained using adaptation the Smartphone Addiction Scale Short Version (SAS-SV) by Kwon, dkk. Based on the results of the study it can be seen that the level of smartphone addiction in the population on Banda Aceh society not much different, there are 51.4% subjects with low smartphone addiction levels and 48.6% subjects with high smartphone addiction levels. Chi Square test results showed that there are several demographic variables that contributed to smartphone addiction level (p<0.05), age, education level, occupation, duration of smartphone use on single day, and frequency of smartphone check on single day.
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Miura, Prayogi, and Elisabeth Rukmini. "Adiksi Smartphone dan Faktor-Faktor yang Memengaruhinya pada Penumpang Transjakarta." Jurnal Perkotaan 8, no. 1 (June 30, 2016): 1–11. http://dx.doi.org/10.25170/perkotaan.v8i1.272.
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Transjakarta passenger is one of the potraits of urban society that use smartphone in DKI Jakarta. Excessive use of smartphones can cause addiction for the users. This study intended to determine the prevalence of smartphone addiction of the Transjakarta passengers and the relationship of smartphone addiction related to risk factors, such as age, gender, educational status, job, and the common use of smartphones. This study used cross sectional multivariate analytical studies with the logistic regression of a total of 143 respondents selected by consecutive sampling at ten stations of Transjakarta. Fifty persons were asked to fill out the Smartphone Addiction Scale (SAS) questionnaire. The majority of the sample were female (65%), aged of 21-25 years (53%), high school graduates (88%), working as employees (81%) and doing frequent communication daring (64%). Prevalence of Transjakarta passengers who were addicted to smartphones were 68%. Risk factors of smartphone additiction, including: gender, age, educational background, job, and the common use of smartphones did not significantly related to the status of smartphone addiction.Results of the logistic regression test showed that there was no significant relationship between smartphone addiction related to risk factors. But the high percentage of respondents who were addicted to smartphone should be taken into consideration for the prevention of smartphone addiction.
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Abd Rahim, Nurul Ain, Yih Huang Siah, Xiang Yi Tee, and Poh Chua Siah. "Smartphone Addiction: Its Relationships to Personality Traits and Types of Smartphone Use." International Journal of Technology in Education and Science 5, no. 1 (December 16, 2020): 128–40. http://dx.doi.org/10.46328/ijtes.165.
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Studies found that smartphone addiction is relevant to the personality of smartphone users, especially the extroverts and introverts. However, the findings of the associations between extroverts/introverts and smartphone addiction are not consistent, and it is suggested that the inconsistency results can be relevant to the types of smartphone use. Accordingly, this study adopts the use and gratification theory as a framework to examine the relationships among extroverts/introverts, smartphone addiction, and the types of smartphone use, and the mediating effect of the types of smartphone use in the relationships between extroverts/introverts and smartphone addiction. Three hundred eighteen undergraduates were recruited to fill in a questionnaire using the purposive sampling method. Results show that both introverts and extroverts are associated with smartphone addiction. However, introverts are more likely to use smartphones for process usage but extroverts for social usage. In addition, process usage but not social usage is positively associated with smartphone addiction. Moreover, only process usage is the statistical mediator for the effects of introverts on smartphone addiction. The findings indicate that intervention programs can be developed to provide more alternative activities to reduce the dependence on smartphones among introverts to gratify their process needs.
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Yayan, Emriye Hilal, Mehmet Emin Düken, Yeliz Suna Dağ, and Ayşegül Ulutaş. "Examination of the relationship between nursing student’s internet and smartphone addictions." Journal of Human Sciences 15, no. 2 (June 5, 2018): 1161. http://dx.doi.org/10.14687/jhs.v15i2.5247.
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Aim: The study examines the relationship between college nursing students’ smartphone addiction and internet addictions.Material and Method: The sample of this descriptive relationship-seeking study included 788 college nursing students. A personal information form, the Smartphone Addiction Scale and the Internet Addiction Scale were used as data collection tools.Results: The participants had high smartphone and internet addiction scores. The males were more prone to exhibit addictive behavior. The addiction scores of the students who cannot stand to be away from their phones were higher. Students involved in sports and students with reading habits had lower addiction scores. A strong positive correlation was found between students’ smartphone and internet addiction scores.Conclusions: Due to the strong correlation between smartphone and internet addiction, it was concluded that further research is needed to investigate addictive behaviors, particularly for smartphone addiction.
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King, Anna Lucia Spear, Mariana King Pádua, Lucio Lage Gonçalves, Aline Santana de Souza Martins, and Antonio Egidio Nardi. "Smartphone use by health professionals: A review." DIGITAL HEALTH 6 (January 2020): 205520762096686. http://dx.doi.org/10.1177/2055207620966860.
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Introduction On the world stage unlimited internet access by smartphones have made in social, cultural and economic relations, has transformed the world to be faster and more efficient. In this context, health care requires more attention. Health professionals must be concerned about the majority of the patient’s care on the use of smartphone’s in this process. Smartphones can be cause distractions and cause poor patient care. Behavioral and psychological changes related to abusive and uncontrolled use in this population may create severe impacts not only on the user’s life but also on the community health care. Method A careful research was performed through PubMed, Web of Science and Psycho Info databases using the terms: “Smartphone addiction”, “Smartphone dependence”, “Smartphone abuse”, “physicians”, “nurses” and ‘‘health professionals”. The search covered the past 5 years up to August 2019. Articles that examine abusive use on smartphones in health professionals were included. We analyzed how this concept evolved over the last five years and hope to contribute to the better understanding of the issue and its impacts on this population and on the health care. Results There is a lack of specific trial instruments on screening of smartphone addiction or abusive use, tending to adopt different diagnostic criteria by the reports included. There are also a lack of studies discussing etiology of this compulsive behavior. Although known risks, published reports show there is no consciousness of abusive use and possible damages in healthcare by some health professionals. Instead, there are others that can affirm there are unpredictable risks in patient care and tend to stimulate conscience use politics in health settings. Most of them point out smartphone’s app benefits. Conclusion Smartphones and its functionalities became part of everyone's life by the various benefits guaranteed. However, an addictive behavior can cause damage, principally in the Health Care setting and health professional’s abusive use must be monitored. Further investigation is needed to determine the motivations of this addictive behavior and if abusive smartphone usage is a new psychiatric classification or merely the substrate of other disorders.
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Geyer, Kristoffer, Xavier Carbonell, Marta Beranuy, and Fran Calvo. "Absence of Objective Differences between Self-Identified Addicted and Healthy Smartphone Users?" International Journal of Environmental Research and Public Health 18, no. 7 (April 1, 2021): 3702. http://dx.doi.org/10.3390/ijerph18073702.
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Smartphones are used by billions of people worldwide. However, some psychologists have argued that use of this technology is addictive, even though little research utilises objective smartphone usage records to verify this claim. We conducted an exploratory study to identify whether behavioural differences exist between those who self-identify as addicted smartphone users and those who do not. We gathered retrospective smartphone usage data from 131 Android users and asked them about their past use to compare their perception of their usage against their actual usage. We could not identify any reliable differences between the smartphone activity of those self-identified as addicted smartphone users and other users. Furthermore, smartphone scales are generally good at identifying who believes themselves to be addicted, although they do not reflect objective smartphone use. This study questions the use of self-report measures to diagnosis behavioural addictions without relevant psychopathological constructs and emphasises the need for more rigorous study to conceptualise smartphone addiction.
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Gezgin, Deniz Mertkan. "Understanding Patterns for Smartphone Addiction: Age, Sleep Duration, Social Network Use and Fear of Missing Out." Cypriot Journal of Educational Sciences 13, no. 2 (June 26, 2018): 166–77. http://dx.doi.org/10.18844/cjes.v13i2.2938.
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The aim of this study is to examine high school students and uncover the relationships between Smartphone Addiction levels and certain factors such as (a) Fear of Missing Out (FoMO) (b) Social Networking Site (SNS) usage habits (using smartphones), (c) age, d) sleep duration and (e) duration of smartphone ownership. The study group consists of 161 students from two public high schools in Turkey. Two different scales were employed for data collection; namely, the Smartphone Addiction Scale and FoMO Scale. Based on a cross-sectional research method, this qualitative study makes use of Pearson Correlation and Stepwise Multiple Regression statistical tests. Findings have shown positive correlations interpreted as Smartphone Addiction increasing with greater student age, daily duration of SNS use on smartphones, duration of smartphone ownership, and Fear of Missing Out. In addition, there exists negative-correlation between smartphone addiction and sleep duration, as well as frequency of SNS use on smartphones. Last but not least, it has been shown that FoMO, daily duration of SNSs use on smartphone and duration of smartphone ownership predict smartphone addiction, with the FoMO variable being the strongest predictor.
Keywords: Fear of missing out, high school students, lack of sleep, smartphone addiction, social networking sites.
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Sheinov, Viktor P. "Smartphone Addiction and Personality: Review of International Research." RUDN Journal of Psychology and Pedagogics 18, no. 1 (December 15, 2021): 235–53. http://dx.doi.org/10.22363/2313-1683-2021-18-1-235-253.
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Mobile phones are perhaps the most popular digital devices that accompany us all the time. Smartphones certainly provide us with many conveniences but at the same time these devices are the reason why many users develop a pathological condition known as nomophobia or smartphone addiction, i. e., fear of losing phone contact or being away from network coverage. Many people, especially teenagers and children, cannot imagine their life without smartphones and try never to part with them. Phone addicts, due to the fact that their attention is constantly riveted to the smartphone screen, cannot efficiently study, do work thoughtfully and productively, establish relationships with others and, in general, live a full-fledged life. Smartphone addiction is a new phenomenon, one of the most widespread non-medical addictions, which in its scale has already left behind Internet addiction and addiction to gambling, forming a dangerous conglomerate with them. Numerous studies show that smartphone addiction has a detrimental effect on many important aspects of modern life. The purpose of this article is to provide an analytical review of international studies on the relationship between smartphone addiction and psychological and socio-psychological characteristics of personality. The choice of international studies as the initial data for the analysis was made due to the fact that it was in them (much earlier than in Russian ones) that the largest number of empirical results were obtained, which are of significant theoretical and practical interest. The number of Russian studies on this topic is much smaller, while many of them were carried out on small samples or were only discussions of international research results. Thus, it can be stated that the extensive information accumulated by international researcher on the dependence on smartphones is used insufficiently in Russian scientific community. The smartphone addiction is positively associated with such negative factors as depression, anxiety, stress, decreased self-esteem and self-control, sleep and health problems, low quality of life and dissatisfaction with it, family problems, poor school performance and the danger of becoming a victim of cyberbullying. Much higher smartphone addiction is typical of younger users. Assessments of smartphone dependence are positively correlated with being female, with smoking and consuming alcohol. A serious obstacle to relevant Russian research was the lack of Russian-language measuring instruments. To eliminate this obstacle, the author adapted and validated The Smartphone Addiction Scale (SAS) by M. Kwon et al. for the Russian-speaking society, and developed a reliable and valid Short Version of the Smartphone Addiction Questionnaire. In Russian studies on smartphone addiction, the results obtained on international samples can serve as basis for working hypotheses as well as initial data in cross-cultural research.
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Sekarrini, Loveria. "THE IMPACT OF SMARTPHONE USAGE IN ADOLESCENTS 15-24 YEARS OLD IN JABODETABEK REGION." Indonesian Journal of Public Health 15, no. 1 (April 6, 2020): 103. http://dx.doi.org/10.20473/ijph.v15i1.2020.103-111.
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ABSTRACT Youth and technology in the millennial era are inseparable. The need for technology makes smartphones the main needs that cannot be separated from the daily lives of youth. The use of smartphones has many benefits but not a few of its users experience addiction. Addiction on smartphones has different characteristics compared to other types of addiction. The aim of this study was to determine the description of smartphone addiction and the impact of physical, mental and sosial health in adolescents aged 10-24 years in Jabodetabek area. The research methodology used cross-sectional study with online survey of 118 respondents and focus on the characteristics of respondents, average usage time, time spent playing smartphones when they wake up, the purpose of using smartphones, the most frequently applications used, the impact of smartphone use. The results showed that almost half of the respondents experienced smartphone addiction at a moderate level (40.7%) and there were 16.9% who experienced severe addiction. The effects of smartphone addiction include problems with mild anxiety (45.8%) and complaints of hands, neck and eyes. Most complaints were on eye health problems such as watery eyes (73.7%), itching (70.3%) and blurred vision (66.1%). In addition, other complaints that many feel are in the hands such as tingling (67.8%) and wrist pain (31.4%). Excessive smartphone use has been shown to have an impact on physical health. For this reason, further research is needed to find out other health impacts both physically, mentally and sosially.Keywords: Smartphone Addiction, Addiction, Musculosceletal Disorder
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Nagalingeswari A, Annamma. K, Aini A, Puziah, Salida J, and Ruziana A. "A study to determine smartphone addiction among nursing students at a private healthcare university college in Malaysia." International Journal of Integrative Medical Sciences 8, no. 4 (September 5, 2021): 1000–1007. http://dx.doi.org/10.16965/ijims.2021.111.
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Background: In the era of advancement of digital technology, individuals are empowering to take control of their future. Despite smartphone usage's advantages and positive impact, the unlimited usage of smartphones for social needs and communications leads to smartphone addiction. Smart addiction is considered a form of technological addiction. This study aims to determine the level of smartphone addiction among nursing students at Private Healthcare University College. Method: This study used a cross-sectional descriptive quantitative design using convenient sampling. A self-administered Smartphone Addiction Scale questionnaire with close-ended items of questions were distributed to 159 selected diploma nursing students. Results: The study results show high smartphone addiction 126 (58.95%) among nursing students of Private Healthcare University College. Besides, the nursing students spent excessive time on a smartphone, particularly on social networks. However, there was no significant relationship found between smartphone addiction and selected sociodemographic characteristics. Conclusion: This study has provided an initial insight into smartphone usage among nursing students at Private Healthcare University College and suggest that they are more vulnerable to smartphone addiction. Therefore, university management, parents, and students themselves need to take the initiative to free them from smartphone addiction. KEY WORDS: Smartphone Usage, Smartphone Addiction, Unlimited Usage, Nursing Students.
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Malik, Rifkind, Rhandyka Rafli, Salmi Salmi, and Yasinta Allisya Noer. "Relationship of Sleep Quality and Oxidative Stress Level in Smartphone Users; Study in Faculty of Medicine Student, Universitas Baiturrahmah." Open Access Macedonian Journal of Medical Sciences 10, B (February 21, 2022): 501–5. http://dx.doi.org/10.3889/oamjms.2022.8593.
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BACKGROUND: Excessive smartphones can affect sleep quality, reducing sleep duration. This lack of sleep will impact various health and increase levels of free radicals in the body, affecting various cell functions. AIM: The aim of the study was to measure the relationship between sleep quality due to smartphone use and serum malondialdehyde (MDA) levels. MATERIALS AND METHODS: This was a quasi-experimental with pre- and post-test group study. Sleep quality was assessed with Pittsburgh Sleep Quality Index (PSQI), and the smartphone addiction was assessed based on Smartphone Addiction Scale (SAS) score. The subjects were divided into four groups (n = 6) based on their PSQI and SAS score. The first group was the subjects with normal sleep and non-smartphone addict. The second group was the subjects with normal sleep but smartphone addict. The third group was the subjects with abnormal sleep and non-smartphone addict. Furthermore, fourth was the subjects with abnormal sleep and smartphone addiction. All the subjects were asked to sleep usually and used the smartphone as necessary a day before the study started. Blood plasma was collected from the subject before and after the study for MDA measurement. Plasma MDA was determined using the thiobarbituric acid test. RESULTS: Smartphone use can reduce sleep quality and duration, resulting in sleep deprivation. There was no increase in MDA concentration (p > 0.05) in the ordinary and non-addictive or smartphone-addicted sleep group. Meanwhile, the group that stayed up late and was neither addictive nor addictive showed an increase in MDA levels and was statistically significant (p < 0.05). CONCLUSION: Adequate sleep can reduce blood serum MDA levels and smartphone use does not affect MDA levels.
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Setiadi, Rizky, Tini Tini, Edi Sukamto, and Umi Kalsum. "THE RISK OF SMARTPHONE ADDICTION TO EMOTIONAL MENTAL DISORDERS AMONG JUNIOR HIGH SCHOOL STUDENTS." Belitung Nursing Journal 5, no. 5 (October 30, 2019): 197–203. http://dx.doi.org/10.33546/bnj.841.
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Background: The use of smartphones increases in Indonesia, its users are no longer among adults but have also spread to teenagers and children. Smartphone addiction causes a variety of problems, both physical, social, behavioral, and psychological problems of adolescents.Objective: The objective of this study is to identify the association between the tendency of smartphone addiction and the occurrence of emotional mental disorders in adolescents of junior high school students in Samarinda.Methods: This study used a descriptive analytic design through cross-sectional approach conducted in junior high schools in Samarinda. Sample of this study were 127 students. The 20 self-questionnaire adopted from the 2013 Basic Health Research questionnaire was used to measure emotional mental disorders, and the Smartphone Addiction Scale - Short Version (SAS-SV) questionnaire was used to measure smartphone addiction. Data were analyzed with multiple logistic regressions.Results: Results showed that there was an association between smartphone addiction and emotional mental disorders among junior high school students in Samarinda (p < .05). Adjusted Odds Ratio (AOR) was obtained at 2.418 (95% CI was 1.033 – 5.660).Conclusions: Smartphone addiction may lead emotional mental disorder among Junior High School students. The decisive rules are needed in the use of smartphones, both at school and at home to prevent the occurrence of smartphone addiction.
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ÇİÇEK, İlhan. "Parental Attitudes and Socio-demographic Factors as Predictors of Smartphone Addiction in University Students." International Journal of Psychology and Educational Studies 8, no. 2 (April 19, 2021): 158–69. http://dx.doi.org/10.52380/ijpes.2021.8.2.430.
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The aim of the study is to examine predictive effect of parental attitudes and socio-demographic variables (age, gender, time spent on smartphone, number of siblings, students’ feeling social, and parental education level) in university students’ addiction to smartphones. Participants included 670 university students whose age ranged between 18-30 years (M=21.6, SD=6.3). Smartphone Addiction Scale (SAS) and Parental Attitude Scale (PAS) and Socio-Demographic Information Form were used to collect data. The results showed that age, gender, parental education level, time spent on smartphone, number of siblings, and state of feeling social and parental attitudes predicted a significant amount of variance (11%) in smartphone addiction. The students’ perception of feeling social and parental attitudes functioned as a moderator on their smartphone addiction. It was revealed that the perception to be social softened the relation between authoritarian parental attitude and smartphone addiction. Furthermore, students experienced less smartphone addiction when their perception of feeling social and democratic parental attitudes were taken together. A negative and significant relation was found between democratic and authoritarian parental attitudes and smartphone addiction. A positive and significant relation was established between protective parental attitude and smartphone addiction.
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Lin, Chih-Wei, Yu-Sheng Lin, Chia-Chi Liao, and Chih-Cheng Chen. "Utilizing Technology Acceptance Model for Influences of Smartphone Addiction on Behavioural Intention." Mathematical Problems in Engineering 2021 (June 1, 2021): 1–7. http://dx.doi.org/10.1155/2021/5592187.
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The purpose of this study was to establish a behavioural model of students’ smartphone usage based on the perception of new advanced information technology, perceived playfulness, and smartphone addiction (SA). Undergraduate students were chosen to be the participants from a university in Taiwan. There were 814 valid questionnaires and the valid response rate was 81.4%. Firstly, SA positively and significantly affected perceived playfulness, perceived ease of use, and perceived usefulness. Secondly, perceived usefulness did not significantly influence behavioural intention. However, there was an unforeseen result; the effect of SA on perceived usefulness was barely significant. It can be concluded that the participants in the present study were undergraduate students and they might not intend to use smartphones for their academic performance. The findings indicated that undergraduate students experienced perceived playfulness, perceived ease of use, and perceived usefulness of smartphone from their addiction perception, which further implied that smartphone usage was interesting, easy, and useful. It was inferred that the undergraduate students were already under a high technology addiction (TA) condition. Suggestions indicate that the conjunction of teaching and mobile application should be extensively applied. It should be based on students’ dependence on smartphone and smartphone’s enjoyment to helpfully improve teaching via smartphones.
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CAO, Jianfei, Yeongjoo Lim, and Kota Kodama. "Smartphone Addiction and Life Satisfaction: Mediating Effects of Sleep Quality and Self-Health." Global Journal of Health Science 13, no. 3 (January 13, 2021): 8. http://dx.doi.org/10.5539/gjhs.v13n3p8.
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As the popularity of smartphones grows, so does the number of people who are addicted to them. Although many studies have indicated that the various problems associated with smartphone addiction can negatively affect life satisfaction, this result is not absolute. This study surveyed 114 Chinese alumni of a Japanese university and analyzed the mediating effects of sleep quality and self-health on the relationship between smartphone addiction and life satisfaction. Results indicated that smartphone addiction did not affect life satisfaction, neither directly nor indirectly through sleep quality and self-health. This finding was different from those of previous studies. In addition, the results indicated that smartphone addiction directly affects sleep quality, and that smartphone addiction can affect self-health either directly or indirectly through sleep quality. Based on this finding, we believe that intervention in the excessive use of smartphones is an effective means to improve the physical fitness of people.
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Kim, Kitai, Jeong Yee, Jee Eun Chung, Hyun Jeong Kim, Ji Min Han, Joo Hee Kim, Kyung Eun Lee, and Hye Sun Gwak. "Smartphone Addiction and Anxiety in Adolescents – A Cross-sectional Study." American Journal of Health Behavior 45, no. 5 (September 30, 2021): 895–901. http://dx.doi.org/10.5993/ajhb.45.5.9.
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Objectives: The overuse of smartphones affects physical, social, and psychological well-being. However, research on smartphone addiction and anxiety disorders is scarce. Therefore, the objective of this study was to investigate the association between anxiety and smartphone addiction risk in Korean adolescents. Methods: This study used a cross-sectional survey method. We used the Revised Children's Manifest Anxiety Scale to assess anxiety symptoms and we used the Korean Smartphone Addiction Proneness Scale index to evaluate the degree of high-risk or at-risk for smartphone addiction. Results: Analyses were performed for 1733 adolescents, including 771 boys and 962 girls. The high-risk or at-risk group for smartphone addiction accounted for 20.1% (p < .0001). Total anxiety scale score, as well as physiological anxiety, oversensitivity, and social concern categories were statistically different among levels of smartphone addiction risk (all ps < .0001). Multivariate analysis showed that poor self-reported health level, higher risk of smartphone addiction, having fewer close friends, caffeine drink consumption, female sex, and alcohol use were associated with greater anxiety. Conclusions: Management of smartphone addiction seems to be essential for proper psychological health. There is an urgent need to develop a way to prevent smartphone addiction on a social level.
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Citó, Erika Brasil Cavalcante, Delane Viana Gondim, Jorge Luiz Moreira Freire Júnior, Patrícia Silveira Damasceno, Maria Caroline Sousa Queiroz Pereira de Oliveira, and Ana Karine Macedo Teixeira. "Smartphone addiction in COVID-19 pandemic times." Revista da ABENO 22, no. 2 (January 21, 2022): 1–12. http://dx.doi.org/10.30979/revabeno.v22i2.1547.
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This study aimed to evaluate smartphone addiction, sleep quality, quality of life and depression among dental students before and during the first wave COVID-19 pandemic lockdown and explore how smartphone addiction influences the other variables. 57 dental students answered the smartphone addiction inventory, Pittsburg sleep quality index, WHOQOL-bref and research diagnosis criteria for temporomandibular disorders axis II questionnaires before and during lockdown. Statistical analysis was conducted using Wilcoxon test, Mann-Whitney U test, Spearman tests and linear regression models considering the smartphone addiction inventory total score as the independent variable. The high mean scores on smartphone addiction on both times are remarkable. The smartphone addiction prevalence was also high on both times (68.66% and 71.92% respectively). Overall sleep quality improved. However, there was no significant change on overall smartphone addiction, quality of life and depression grade during lockdown. Tolerance using smartphones increased during lockdown, especially for women. Smartphone addiction showed negative correlation to quality of life and positive correlation to depression, subjective sleep quality and sleep medication use. Smartphone addiction was a predictor to total WHOQOL-bref score, all WHOQOL bref domains, sleep medication use and to depression on both times, before and during lockdown. Smartphone addiction was directly affecting quality of life. Despite the growing smartphone use among university students due to the pandemic restrictions, this study showed that the overall smartphone addiction, quality of life and depression grade were not influenced by the lockdown restrictions. However, it was observed an improvement on sleep quality during this period among dental students.
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Na, Euihyeon, and Dai-Jin Kim. "Smartphone Addiction." Korean Journal of Medicine 91, no. 3 (December 1, 2016): 245–49. http://dx.doi.org/10.3904/kjm.2016.91.3.245.
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Kumar, Sushil. "Smartphone addiction." MGM Journal of Medical Sciences 8, no. 1 (2021): 1. http://dx.doi.org/10.4103/mgmj.mgmj_11_21.
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Gündoğdu, Cemal, Yalın Aygün, Mehmet Ilkım, and Şakir Tüfekçi. "Explaining the Impact of Disabled Children’ Engagement with Physical Activity on Their Parents’ Smartphone Addiction Levels: A Sequential Explanatory Mixed Methods Research." Journal of Education and Training Studies 6, no. 2 (January 21, 2018): 44. http://dx.doi.org/10.11114/jets.v6i2.2836.
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In this research, quantitative findings and qualitative follow-up themes were used to quantify, conceptualize and finally try to explain the impact of disabled children’ engagement with physical activity on their parents’ smartphone addiction levels. An initial phase of quantitative investigation was conducted with 116 parents. Analyses of statistical trends indicated that male parents use smartphones more often than female. Furthermore, quantitizing data towards parents’ smartphone addiction showed that parents watching their disabled children during physical activity exhibit more smartphone-addicted behaviors than non-watching parents. Finally, data obtained from quantitative findings revealed that levels of smartphone addiction of parents whose disabled children participated in more than 60 minutes of physical activity were greater than the levels of smartphone addiction of parents whose disabled children participated in 60 minutes of physical activity. With no adequate theoretical explanation for these results, a follow-up explanations phase of qualitative investigation was conducted with 5 parents. Analyses of interview data emerged three themes: (a) Male dominance in smartphone use, (c) parents passive participation in physical activity with or without smartphones and (b) levels of smartphone addiction among parents in terms of duration of their children daily physical activity engagement.
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Shahjehan, Asad, Syed Imad Shah, Javeria Andleeb Qureshi, and Anees Wajid. "A META-ANALYSIS OF SMARTPHONE ADDICTION AND BEHAVIORAL OUTCOMES." International Journal of Management Studies 28, Number 2 (July 15, 2021): 103–25. http://dx.doi.org/10.32890/ijms2021.28.2.5.
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Though smartphones have become the icon of the 21st century, they are possibly the biggest source of non-drug addiction. The purpose of this meta-analysis was to identify behavioral outcomes associated with smartphone addiction, and to evaluate their overall and individual relationships with smartphone addiction. This metaanalysis conducted a preliminary review of 6115 studies which investigated the relationships between smartphone addiction and behavioral outcomes. Fifty-three studies fulfilled the inclusion criteria developed for this study and their review identified thirteen behavioral outcomes of smartphone addiction. Meta-analytical tests confirmed a positive and significant relationship between smartphone addition and overall behavioral outcome. However, the combined effects were significantly heterogeneous and this could be attributed to the diverse nature of behavioral outcomes, dispersion of studies across the globe, and varying demographics of samples. The results showed the prevalence of the following eight behavioral outcomes: anxiety, depression, loneliness, mental health, self-control, self-regulation, stress; and withdrawal that had a significant and positive relationship with smartphone addiction, while only self-esteem had a significant and negative relationship with smartphone addiction. Finally, depression was identified as the behavioral outcome that has a significant and positive relationship with smartphone addiction irrespective of global geographic and demographic variations. This article has elaborated on smartphone addiction criteria similar to that established for researches in substance abuse and addiction. Furthermore, the article has been able to show that smartphone addiction and its problematic use has become an emerging problem with grave consequences.
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Indrakusuma, Anak Agung Bagus Putra, I. Made Angga Sayoga, Stevanus Christian Surya, Agung Wiwiek Indrayani, and I. Gusti Ayu Artini. "The Association between Smartphone Addiction and Insomnia Incidence in Students of the Faculty of Medicine Udayana University Batch of 2020 during the Coronavirus Disease-19 Pandemic." Open Access Macedonian Journal of Medical Sciences 9, B (September 20, 2021): 1207–14. http://dx.doi.org/10.3889/oamjms.2021.7064.
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BACKGROUND: The use of smartphones is increasing in the coronavirus disease (COVID-19) pandemic for various purposes, this encourages smartphone addiction. In addition, the incidence of insomnia has also increased in the pandemic era. AIM: This study was conducted to find an association between smartphone addiction and the incidence of insomnia, especially among students of the Faculty of Medicine, Udayana University. METHOD: This research is a descriptive-analytic study with the cross-sectional method, using two main questionnaires, Smartphone Addiction Scale-Short Version, and Insomnia Severity Index. Questionnaires were distributed using Google forms and then collected and analyzed using software SPSS version 25. RESULT: Overall the total research respondents with the inclusion criteria in this study amounted to 364 people. The results showed that 212 respondents (58.24%) had a high level of smartphone addiction and 152 respondents (41.76%) had a low level of smartphone addiction. In addition, 187 respondents (51.37%) experienced mild insomnia, 87 respondents (23.9%) experienced moderate insomnia, 13 respondents (3.57%) experienced severe insomnia, and 77 respondents (21.15%) did not experience insomnia. Based on the results of data analysis, it was found that smartphone addiction had a significant relationship (p = 0.002) with weak and positive correlation (r = 0.162) to the incidence of insomnia. CONCLUSION: It was found that the majority of respondents experienced high levels of smartphone addiction and mild insomnia. Another finding suggests the higher addiction to the smartphones, the more severe insomnia suffered.
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Li, Li, and Trisha T. C. Lin. "Examining how dependence on smartphones at work relates to Chinese employees’ workplace social capital, job performance, and smartphone addiction." Information Development 34, no. 5 (July 27, 2017): 489–503. http://dx.doi.org/10.1177/0266666917721735.
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This research examines how dependence on smartphones for various goals at work, such as understanding, orientation, and communication, relates to employees’ job performance, workplace social capital, and smartphone addiction. Data were collected from a survey of 527 workers in urban China. Regression results indicated that dependence on smartphones for understanding and communication at work has no influence on individuals’ job performance. Only dependence on smartphones for orientation was positively associated with their job performance. Dependence on smartphones for communication has positive association with employees’ workplace social capital. Most interestingly, we found that dependence on smartphones for understanding and orientation was positively associated with smartphone addiction; however, dependence on smartphones for communication has no influence on smartphone addiction. Theoretical and practical implications are discussed.
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Efian, Edi, Rizanda Machmud, Mahathir Mahathir, Meri Neherta, Rima Berlian Putri, and Fitra Yeni. "Perbedaan Resiko Gangguan Psikososial pada Remaja Positive Smartphone Addiction dan Negative Addiction di SMA Kota Sungai Penuh Tahun 2019." Jurnal Ilmiah Universitas Batanghari Jambi 19, no. 3 (October 15, 2019): 575. http://dx.doi.org/10.33087/jiubj.v19i3.728.
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Excessive use of smartphones poses a risk of addiction, smartphone addiction will affect psychological health which has an effect on psychosocial disorders. Teenagers are a vulnerable period that easily accepts new cultures, smartphone technology culture is one that lurks teenagers. Objective: This study is to determine the differences in the risk of psychosocial disorders in adolescents with positive smartphone addiction with negative smartphone addiction. This research is a quantitative study with cross sectional design, data collection using the smartphone addiction scale (Short-version) questionnaire and pediatric symptom checklist (PSC-17), the population of adolescents in high schools in Sungai Penuh city, a sample of 350 people , the conscientious variable consists of the independent variable smartphone addiction and the dependent variable psychosocial disorders in adolescents. There was a difference in the risk of psychosocial disorders in adolescents, 60/25 men experienced psychosocial disorders (p = 0,000) OR 3,936. In adolescent girls 50/47 experience psychosocial disorders (0.004) OR 2,437. Teen positive smartphone addiction is at greater risk for experiencing psychosocial disorders
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Lee, Juyeong, and Woosung Kim. "Prediction of Problematic Smartphone Use: A Machine Learning Approach." International Journal of Environmental Research and Public Health 18, no. 12 (June 15, 2021): 6458. http://dx.doi.org/10.3390/ijerph18126458.
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While smartphone addiction is becoming a recent concern with the exponential increase in the number of smartphone users, it is difficult to predict problematic smartphone users based on the usage characteristics of individual smartphone users. This study aimed to explore the possibility of predicting smartphone addiction level with mobile phone log data. By Korea Internet and Security Agency (KISA), 29,712 respondents completed the Smartphone Addiction Scale developed in 2017. Integrating basic personal characteristics and smartphone usage information, the data were analyzed using machine learning techniques (decision tree, random forest, and Xgboost) in addition to hypothesis tests. In total, 27 variables were employed to predict smartphone addiction and the accuracy rate was the highest for the random forest (82.59%) model and the lowest for the decision tree model (74.56%). The results showed that users’ general information, such as age group, job classification, and sex did not contribute much to predicting their smartphone addiction level. The study can provide directions for future work on the detection of smartphone addiction with log-data, which suggests that more detailed smartphone’s log-data will enable more accurate results.
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Aras, Aysun, and Nurdan Torun. "An examination of smartphone usage and addiction among final-year medical faculty students." International Journal of Research in Counseling and Education 5, no. 1 (June 10, 2021): 1. http://dx.doi.org/10.24036/00364za0002.
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The purpose of this study was to determine levels of smartphone addiction among final-year medical faculty students. One hundred eighty students participated in this cross-sectional study. The Smartphone Addiction Scale was used to evaluate smartphone addiction levels and participants’ sociodemographic characteristics. Descriptive statistics and the chi-square Kruskal-Wallis and Mann-Whitney U tests were applied. The mean addiction score was significantly higher in women than in men (p≤0.05). The students in the study mainly (71.1%) used smartphones to access the internet. Total addiction levels were significantly higher among participants who checked their phones immediately upon waking (p<0.05). Studies of smartphone addiction are insufficient, and different results may be yielded by studies on the subject from different universities.
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Abdullah, Rebar Y., Kawther M. Galary, and Robar A. Majid. "Association between Smartphone Addiction and Physical Activity, Sleeping Hours among Medical Science Students in Duhok City." Polytechnic Journal 10, no. 2 (December 30, 2020): 60–65. http://dx.doi.org/10.25156/ptj.v10n2y2020.pp60-65.
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Background and Aim: Smartphones become a part of today’s life. In spite of the convenience, it contributes to our daily lives and activities, one of the most important problems is smartphone addiction. As known, smartphone addiction is a type of technological addiction or non-substance addiction. The present study is to investigate the association between smartphone addiction and physical activity, sleeping hours among medical science students in Duhok City.Subjects and Methods: A cross-sectional study design carried out with 295 students in medical science colleges in the Duhok City of both gender. Self-reported data collected from December 15, 2019, to January 22, 2020. Structured questionnaire has been used to gather data related to sociodemographic, physical activity, sleeping hours, and smartphone addiction.Results: The study found most students, 78.3% have smartphone addiction, 78% of medical science students are at low physical activity range, and only 2% of students are at normal physical activity range, also revealed 20% of students were inactive. According to daily sleeping hours, more than half of them, 61.7% were in a healthy range of sleeping; however, no statistically significant association found between smartphone addiction with physical activity, sleeping hours while finding a highly statistically significant association between smartphone addiction with gender.Conclusion: The current study figure out smartphone addiction prevalence was very high among medical science college students. Smartphone addiction showed an effect in increasing sedentary health behavior like low physical activity and poor sleeping quality with no statistically significant association.
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AL Mahrooqi, Adil M., Talal A. AL Agbari, and Asma S. AL Shidhani. "The prevalence of smartphone addiction and its correlation with depression among higher college of technology students, Oman." International Journal of Research in Medical Sciences 8, no. 5 (April 27, 2020): 1833. http://dx.doi.org/10.18203/2320-6012.ijrms20201937.
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Background: The aim of this study is to identify the prevalence of smartphone addiction and its correlation with depression among Higher College of Technology students in Oman.Methods: A cross-sectional study was conducted in the Higher College of Technology, Oman. A self-reported questionnaire was distributed electronically to students between January and February 2017. The questionnaire contained a validated short version of the smartphone addiction scale (SAS-SV) and a validated Arabic version of the Patient Health Questionnaire-9 (PHQ-9), along with a single question to self-assess smartphone addiction.Results: With a response rate of 86.2%, a total of 376 students were considered, of whom 34.6% were males and 65.4% were females, with an overall mean age of 20.9 years. This study showed that the prevalence of smartphone addiction in the study population using the SAS-SV was 63.8%; 88.3% of students were using their smartphones for four hours or more per day and 80% had been using smartphones for more than four years. The overall depression rate was 32.2%. As the total depression score increased by 1 point, the smartphone addiction score increased by 0.428 points (p<0.005). The prevalence of smartphone addiction was 54.9% among those who had no depression, 80.3% among those who had mild depression, 75.9% among those who had moderate depression, and 96.2% among those who have severe depression (p<0.005).Conclusions: This study shows high smartphone addiction levels based on SAS-SV scores and found a significant positive correlation between smartphone addiction score and depression scores.
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Akbulut Zencirci, Sevil, Hatice Aygar, Saniye Göktaş, Muhammed Fatih Önsüz, Melike Alaiye, and Selma Metintaş. "Evaluation of smartphone addiction and related factors among university students." International Journal of Research in Medical Sciences 6, no. 7 (June 25, 2018): 2210. http://dx.doi.org/10.18203/2320-6012.ijrms20182805.
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Background: The purpose of this study is to investigate the level of smartphone addiction of university students and determine the related factors.Methods: This cross-sectional study was conducted among first and third-class students of the 2016 fall semester in Eskişehir Osmangazi University with 1492 students. In this study, risk of smartphone addiction was evaluated by using Short Version of Smartphone Addiction Scale (SAS-SV). In data analysis, Mann Whitney U, Kruskal Wallis and hierarchical multi linear regression analysis were executed.Results: 772 (51.7 %) of 1492 students in the study group was female. SAS-SV median score of the students was 26. In this study; gender, socio-economic level, perceived health status and mostly used smartphone function were specified as factors influencing smartphone addiction. While, using smartphone for functions such as social media, gaming, online messaging and video watching was assigned to be positively related with smartphone addiction; using smartphone for telephone calls, e-mail and news reading was assigned to be negatively related. 71.2% of students (n:1063) declared to have health problems related with using smartphones. Insomnia was revealed as the most common (23.6 %) health complaint related to smartphone use.Conclusions: Social contact and applications with entertaining contents in smartphone enhance addiction. There is need for more studies and researches for exerting smartphone addiction, related factors and applying necessary protective and therapeutic interventions.
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Romero-Rodríguez, José-María, Inmaculada Aznar-Díaz, José-Antonio Marín-Marín, Rebeca Soler-Costa, and Carmen Rodríguez-Jiménez. "Impact of Problematic Smartphone Use and Instagram Use Intensity on Self-Esteem with University Students from Physical Education." International Journal of Environmental Research and Public Health 17, no. 12 (June 17, 2020): 4336. http://dx.doi.org/10.3390/ijerph17124336.
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Mobile devices are a revolutionary element that offer many possibilities, although they can also cause problems for users. This is the case with the development of addictive behaviors that can affect personal well-being. The purpose of this paper has been to analyze the influence of smartphone addiction and Instagram use intensity on the self-esteem of Physical Education students. A cross-sectional research design was adopted by applying an online survey to a sample of undergraduate students (n = 385). The results showed that gender and age were factors that influenced the problematic use of the smartphone. In turn, there was a significant positive correlation between smartphone addiction and Instagram use intensity. The influence of smartphone addiction on students’ self-esteem was also highlighted. In contrast, Instagram use intensity did not affect self-esteem. Finally, the findings are discussed, and the main implications of the study are established, where physical education students take on a special role in order to avoid the improper use of smartphones and Instagram through sport.
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Yoon, Ji-Yeon, Kyu-Hyoung Jeong, and Heeran J. Cho. "The Effects of Children’s Smartphone Addiction on Sleep Duration: The Moderating Effects of Gender and Age." International Journal of Environmental Research and Public Health 18, no. 11 (June 1, 2021): 5943. http://dx.doi.org/10.3390/ijerph18115943.
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Background: Smartphones are an important part of children’s and adolescents’ lives, and they often spend a lot of time using them. This study aims to precisely discover the effects of smartphone addiction on sleep duration as moderated by age and gender. Materials and methods: The data utilized in this study are from the ‘Korean Children and Youth Panel Survey 2018′ by the National Youth Policy Institute; a total of 4940 youths (2399 in grade 4 and 2541 in grade 7) from the survey were analyzed by Stata 15.0 S. The dependent variable is sleep duration, and the independent variables are the sub-factors of smartphone addiction: disturbance of adaptive functions, virtual life orientation, withdrawal, and tolerance. An independent t-test was conducted to confirm the differences in the main variables according to gender and age. Multiple regression analysis was conducted to verify the moderating effects of gender and age in the relationship between children’s smartphone addiction and sleep duration. Results: First, the average sleep duration among grade 4 students was 9.17 h and grade 7 students was 7.96 h. Second, sleep duration was significantly higher for males than females, while there was no difference in smartphone addiction by gender. Third, smartphone addiction, particularly the sub-factor of tolerance significantly affected sleep duration. Fourth, age significantly affected sleep duration and gender had a moderating effect on sleep duration. Conclusions: Interventions to develop a healthy smartphone usage culture on family and societal levels would be beneficial for increasing awareness of smartphone addiction and its adverse effects on children and adolescents. Furthermore, targeted intervention would be more effective at modifying addictive behavior and sleep duration than trying to administer blanket interventions to youths as a whole.
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Lee, Minji, Sun Ju Chung, Youngjo Lee, Sera Park, Jun-Gun Kwon, Dai Jin Kim, Donghwan Lee, and Jung-Seok Choi. "Investigation of Correlated Internet and Smartphone Addiction in Adolescents: Copula Regression Analysis." International Journal of Environmental Research and Public Health 17, no. 16 (August 11, 2020): 5806. http://dx.doi.org/10.3390/ijerph17165806.
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Internet and smartphone addiction have become important social issues. Various studies have demonstrated their association with clinical and psychological factors, including depression, anxiety, aggression, anger expression, and behavioral inhibition, and behavioral activation systems. However, these two addictions are also highly correlated with each other, so the consideration of the relationship between internet and smartphone addiction can enhance the analysis. In this study, we considered the copula regression model to regress the bivariate addictions on clinical and psychological factors. Real data analysis with 555 students (age range: 14–15 years; males, N = 295; females, N = 265) from South Korean public middle schools is illustrated. By fitting the copula regression model, we investigated the dependency between internet and smartphone addiction and determined the risk factors associated with the two addictions. Furthermore, by comparing the model fits of the copula model with linear regression and generalized linear models, the best copula model was proposed in terms of goodness of fit. Our findings revealed that internet and smartphone addiction are not separate problems, and that associations between them should be considered. Psychological factors, such as anxiety, the behavioral inhibition system, and aggression were also significantly associated with both addictions, while ADHD symptoms were related to internet addiction only. We emphasize the need to establish policies on the prevention, management, and education of addiction.
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Son, Hye-Gyeong, Heeran J. Cho, and Kyu-Hyoung Jeong. "The Effects of Korean Parents’ Smartphone Addiction on Korean Children’s Smartphone Addiction: Moderating Effects of Children’s Gender and Age." International Journal of Environmental Research and Public Health 18, no. 13 (June 22, 2021): 6685. http://dx.doi.org/10.3390/ijerph18136685.
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Background: Smartphone addiction among children and adolescents has a negative effect, as excessive use of smartphones can cause physical symptoms, such as fatigue, indigestion, and sleep problems, as well as psychopathological problems, such as depression, anxiety, and impulsiveness. Materials and Methods: This study was carried out using the Korean Children and Youth Panel Survey 2019 conducted by the National Youth Policy Institute. The total number of participants was 4656 youths (2290 in grade 5 and 2366 in grade 8), and the dependent and independent variables were smartphone addiction in children and parents, respectively. Multiple regression analysis was conducted by Stata 15.0 SE. Results: First, the level of parents’ smartphone addiction affected that of children and adolescents. Second, the children’s and adolescents’ age affected the level of smartphone addiction, while their gender did not affect it. Third, the relationship between the levels of parents’ and children’s smartphone addiction was not moderated by the genders and ages of the children and adolescents. Conclusions: It was confirmed that as parents’ smartphone addiction increased, that of children increased, and smartphone addiction was found to increase in the second grade of middle school (12 years old) rather than grade 5 of elementary school (10 years old). Parents’ and children’s smartphone addiction was not moderated by children’s and adolescents’ gender and age.
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Primadiana, Dinda Berlian, Hanik Endang Nihayati, and Erna Dwi Wahyuni. "HUBUNGAN SMARTPHONE ADDICTION DENGAN KECEMASAN SOSIAL PADA REMAJA." Psychiatry Nursing Journal (Jurnal Keperawatan Jiwa) 1, no. 1 (March 1, 2019): 21. http://dx.doi.org/10.20473/pnj.v1i1.14325.
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Pendahuluan: Penggunaan smartphone yang berlebihan dan tidak terkontrol pada remaja dapat menimbulkan kecanduan bagi penggunanya. Salah satu pengaruh negatif dari hal tersebut adalah terjadinya kecemasan sosial. Tujuan dari penelitian ini adalah untuk menganalisis hubungan smartphone addiction dengan kecemasan sosial pada remaja.Metode: Metode penelitian ini menggunakan desain analisis deskriptif dengan pendekatan cross sectional. Populasi dalam penelitian ini adalah remaja pengguna smartphone di SMA X Sidoarjo. Jumlah sampel penelitian ini sebanyak 289 responden dari 1681 siswa menggunakan simple random sampling. Variabel independen dalam penelitian ini adalah smartphone addiction, sedangkan variabel dependen adalah kecemasan sosial. Data diperoleh dengan instrumen kuesioner Smartphone Addiction Scale (SAS) dan kuesioner Social Anxiety Scale for Adolescent (SAS-A), dianalisis menggunakan spearman’s rho dengan signifikansi < 0,05.Hasil: Hasil uji statistik menunjukkan nilai p = 0,000 dan nilai r = 0,255 yang berarti terdapat hubungan smartphone addiction dengan kecemasan sosial pada remaja di SMA X Sidoarjo, koefisien korelasi bertanda positif memiliki makna bahwa semakin tinggi smartphone addiction maka kecemasan sosial juga akan semakin tinggi.Kesimpulan: Remaja yang mengalami smartphone addiction selalu gagal dalam mengontrol penggunaan smartphone dan menganggap bahwa smartphone merupakan hal yang penting, sedangkan smartphone addiction dapat menimbulkan kecemasan sosial berupa ketakutan akan evaluasi negatif oleh orang lain. Perawat perlu melakukan pendidikan kesehatan terhadap remaja terkait smartphone addiction dan dampak negatif yang ditimbulkan. ABSTRACTIntroduction: Excessive and uncontrolled use of smartphones in adolescents can cause addiction to users. One negative influence on uncontrolled smartphone use is the occurrence of social anxiety. The purpose of this study was to analyze the relationship between smartphone addiction and social anxiety in adolescents.Method: This research method uses descriptive analysis design with cross sectional approach. The population in this study were adolescents of smartphone users in SMA Antartika Sidoarjo. The number of samples of this study were 289 respondents using probability sampling techniques with a type of simple random sampling. The independent variable in this study is smartphone addiction, while the dependent variable is social anxiety. Data obtained by questionnaire instruments using Smartphone Addiction Scale (SAS) and Social Anxiety Scale for Adolescent (SAS-A), and analyzed using spearmans rho with significance <0.05. Result: The results of the statistical test show the value of p = 0,000 and the value of r = 0,255. The conclusion of this study, there was a relationship between smartphone addiction and social anxiety in adolescents of SMA Antartika Sidoarjo.Conclusion: Adolescents who experience smartphone addiction always fail to control the use of smartphone and assume that smartphone is important, while smartphone addiction can cause social anxiety in the form of fear of negative evaluation by others. Nurses need to do health education for adolescents related to smartphone addiction and the negative effects it causes.
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Rathakrishnan, Balan, Soon Singh Bikar Singh, Mohammad Rahim Kamaluddin, Azizi Yahaya, Mohd Azrin Mohd Nasir, Fauziah Ibrahim, and Zaizul Ab Rahman. "Smartphone Addiction and Sleep Quality on Academic Performance of University Students: An Exploratory Research." International Journal of Environmental Research and Public Health 18, no. 16 (August 5, 2021): 8291. http://dx.doi.org/10.3390/ijerph18168291.
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This study was conducted to examine the relationship between smartphone addiction, sleep quality, and academic performance. The study presented quantitative research on 323 students in a public university in Sabah to explore the relationship between smartphone addiction, sleep quality, and academic performance. A simple random sampling was used in the study. The Smartphone Addiction Scale Short Version (SAS-SV) and the Pittsburgh Sleep Quality Index (PSQI) were used in this study. SPSS was used as a tool of analysis for descriptive and inferential analysis. Pearson correlation was involved to test the hypothesis of the study. The result indicated that the greater the smartphone addiction, the lower the academic performance of university students. The finding also proved that students with poor sleep quality might exhibit low academic performance. Smartphone addiction was found to be associated with sleep quality where overusing smartphones was related to poor sleep quality in university students. On this basis, the problem of smartphone addiction and sleep quality should be tackled in order to improve the academic performance of university students and their overall health.
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Bukhori, Baidi, Hamdan Said, Tony Wijaya, and Faizah Mohamad Nor. "The Effect of Smartphone Addiction, Achievement Motivation, and Textbook Reading Intensity on Students’ Academic Achievement." International Journal of Interactive Mobile Technologies (iJIM) 13, no. 09 (September 5, 2019): 66. http://dx.doi.org/10.3991/ijim.v13i09.9566.
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<h1>This study investigates the effect of smartphone addiction, achievement motivation, and textbook reading intensity on academic achievement. This quantitative study involved 720 students from two public universities. The cluster random sampling technique and three psychological scales namely Smartphone Addiction Scale, Achievement Motivation Scale, and Reading Textbook Intensity Scale were employed for data collection. The data were analyzed using path analysis technique. The study found that (i) smartphone addiction and achievement motivation directly affect the intensity of reading academic textbooks, and (ii) smartphones addiction, achievement motivation, and the intensity of reading academic textbooks directly affect the academic achievement. Although the intensity of reading academic textbook mediated the effect of smartphone addiction on academic achievement, it did not mediate the effect of achievement motivation on academic achievement.</h1>
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Lee, Jeewon, Min-Je Sung, Sook-Hyung Song, Young-Moon Lee, Je-Jung Lee, Sun-Mi Cho, Mi-Kyung Park, and Yun-Mi Shin. "Psychological Factors Associated With Smartphone Addiction in South Korean Adolescents." Journal of Early Adolescence 38, no. 3 (October 6, 2016): 288–302. http://dx.doi.org/10.1177/0272431616670751.
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The smartphone has many attractive attributes and characteristics that could make it highly addictive, particularly in adolescents. The purpose of this study was to examine the prevalence of young adolescents in risk of smartphone addiction and the psychological factors associated with smartphone addiction. Four hundred ninety middle school students completed a self-questionnaire measuring levels of smartphone addiction, behavioral and emotional problems, self-esteem, anxiety, and adolescent-parent communication. One hundred twenty-eight (26.61%) adolescents were in high risk of smartphone addiction. This latter group showed significantly more severe levels of behavioral and emotional problems, lower self-esteem, and poorer quality of communication with their parents. Multiple regression analysis revealed that the severity of smartphone addiction is significantly associated with aggressive behavior (β = .593, t = 3.825) and self-esteem (β = −.305, t = −2.258). Further exploratory and confirmatory studies should consider different sites, demographics, technological mobile devices, platforms, and applications.
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Maharani, Diana Putri, Anak Ayu Nyoman Trisna Narta Dewi, and Ni Nyoman Ayu Dewi. "THE EFFECT OF DURATION OF SMARTPHONE USAGE AND LEVEL OF SMARTPHONE ADDICTION ON FORWARD SHOULDER POSTURE IN TEENAGERS AGED 16-18 YEARS IN SMA NEGERI 2 DENPASAR." Majalah Ilmiah Fisioterapi Indonesia 7, no. 2 (July 18, 2019): 32. http://dx.doi.org/10.24843/mifi.2019.v07.i02.p09.
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Increased and prolonged use of smartphones may cause musculoskeletal disorders, one of which is Forward Shoulder Posture (FSP) if a person is using smartphone in an incorrectly position, long duration and repetitive position. The duration of smartphone usage and the level of smartphone addiction are a contributing factor to the occurrence of some frequent musculoskeletal disorders. The following research is cross sectional analytic observational research with sample of adolescent age 16-18 year in SMA Negeri 2 Denpasar 63 people. The result is known that the duration of smartphone usage has a significant effect on the FSP incidence, p is 0.028 (p <0,05) and the rate of smartphone addiction have an effect on the occurrence of FSP, p equal to 0,043 (p <0,05). Logistic regression results, the duration of smartphone use and the level of smartphone addiction are the factors that affect the incidence of FSP in adolescents aged 16-18 years in SMA Negeri 2 DenpasarKeywords : Duration of Smartphone Usage, Level of Smartphone Addiction, Forward Shoulder Posture
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Nurwulan, Nurul Retno. "SEKOLAH DARING DAN KETERGANTUNGAN TELEPON GENGGAM PADA REMAJA." ETNOREFLIKA: Jurnal Sosial dan Budaya 10, no. 2 (June 30, 2021): 198–211. http://dx.doi.org/10.33772/etnoreflika.v10i2.1115.
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Adolescents engage in smartphones cognitively and emotionally. More evidence suggests that they tend to be dependent on and addicted to smartphones. However, smartphone usage is inevitable during the COVID-19 pandemic since students need to attend online class. Previous studies have developed measurement method to evaluate smartphone addiction. This study evaluated 13 to 15-year-old adolescents’ self-awareness of smartphone addiction using problematic use of mobile phones (PUMP) approach. Group discussions were conducted with adolescents who did self-assessment using the problematic use of mobile phones scale. The main findings of group discussions include drivers of excessive smartphone use, smartphone usage behavior when they are with family or friends, barriers to healthier smartphone use, and nighttime habits. Despite its advantages during the COVID-19 pandemic, parents need to supervise and to encourage their children to use smartphones wisely.
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Lee, Sook-Jung, Changho Lee, and Cheolhan Lee. "Smartphone Addiction and Application Usage In Korean Adolescents: Effects of Mediation Strategies." Social Behavior and Personality: an international journal 44, no. 9 (October 9, 2016): 1525–34. http://dx.doi.org/10.2224/sbp.2016.44.9.1525.
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We examined adolescent application usage related to smartphone addiction and also explored mediation strategies used to prevent their addiction. Participants were 3,000 adolescents in grades 7 to 12 who completed an online survey. According to the findings, frequent use of social networking site applications (apps), game apps, and video apps tended to exacerbate adolescents' addiction to smartphones. Mediation strategies negatively related to smartphone addiction were active parental mediation for young adolescent girls, technical restrictions for young adolescent boys, and limited service plans for both these groups. Parental restriction tended to increase the likelihood of smartphone addiction. Addiction prevention programs being implemented in schools did not have any impact in preventing addiction. Overall, our findings suggest that the effects of mediation strategies are weak and these effects are limited to young adolescents.
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Al-Barashdi, Hafidha S., Abdelmajid Bouazza, and AbdullQawi Al Zubaidi. "Psychometric Properties of Smartphone Addiction Questionnaire (SPAQ) among Sultan Qaboos University Undergraduate Students." Journal of Educational and Psychological Studies [JEPS] 8, no. 4 (December 1, 2014): 637. http://dx.doi.org/10.24200/jeps.vol8iss4pp637-644.
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The aim of this study was to identify the psychometric properties of a smartphone addiction questionnaire. It explored the structure of the questionnaire: smartphone usage, the level of addiction to smartphones' different activities and applications, and the level of smartphones' addiction symptoms appearance. The dimensional structure of the questionnaire was investigated with a sample of 140 SQU undergraduates (37.1% males and 62.9% females). Based on the factor analysis results, the questionnaire consisted of five factors: disregard of harmful consequences, preoccupation, inability to control craving, productivity loss and feeling anxious and lost. The internal consistency and concurrent validity of SPAQ were verified (Cronbach's alpha= 0.76). SPAQ and its factors were significantly correlated with smartphone addiction scale (SAS). The reliability of SPAQ has been tested using test-re-test method and revealed a significant correlation of 0.67 between the two applications.
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Seftiani, Rezki Yusfa, Nurhaya Nurdin, Akbar Harisa, Hapsah Hapsah, and Nuurhidayat Jafar. "SOCIAL INTERACTION OF STUDENTS BASED ON SMARTPHONE ADDICTION LEVEL IN PUBLIC HIGH SCHOOL 21 OF MAKASSAR." Indonesian Contemporary Nursing Journal (ICON Journal) 2, no. 2 (September 30, 2019): 18. http://dx.doi.org/10.20956/icon.v2i2.7808.
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Introduction: Smartphone is currently a tool for communications that is widely used by all people, especially among high school students. Excessive use of smartphone can lead to smartphone addiction. Someone who has a smartphone addiction have anti-social behavior towards his environment. This study aimed to describe of social interaction on the male and female students who have a smartphone addiction in SMA Negeri 21 Makassar. Method: This study design used is quantitative with descriptive survey. Selection of sample using cluster random sampling, total 95 respondent. Primary data obtained through questionnaires. Result: Based on the results of a study of 95 respondents, shows that respondents who experienced low-level smartphone addiction 19 people (28.8%) had a high social interaction, similar with respondents who experienced medium-level of smartphone addiction 43 people (65.2%) and high-level 4 people (6.1%) had a high social interaction. Conclusions: The study concluded that all levels of smartphone addiction has a high social interaction, not all respondents who use smartphones tend to be indifferent to his surroundings. They remain more comfortable communicating directly with the people closest. This research is expected can provide benefits that can be used as information specifically for students of SMAN 21 Makassar, and can improve socialization skills in the environment so that it can improve social interaction began to crushed
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Hs, Aprianda Helni, and Bahril Hidayat. "Smartphone Addiction dan Daya Juang Belajar: Abnormalitas Kontemporer dan Solusi Adiksi Internet Berdasarkan Psikologi Islam." Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan 18, no. 1 (April 29, 2021): 65–78. http://dx.doi.org/10.25299/al-hikmah:jaip.2021.vol18(1).6652.
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ABSTRACT
Adolescent at this point very close to the rapid technological growth. Adolescent are a primary target for debatable features inside the smartphone, which makes it easier for the youth to become addicted to the smartphone usage, and this of course, also encourages learning in the youth to become weak that results in a drop in academic achievement. Previous studies have explained that adolescents depend heavily on their smartphones, as well as on the features available inside the smartphone. It also certainly had an impact on academic achievement, their ability to achieve good academic achievement was weak, they were not motivated to get a good achievement on their academic. In this case, youth should pay more attention to the time of their smartphone use, youth should also have internal motivation, parents, teachers, and friend so that youth have the proper fighting power to improve academic achievement. On the other side, a homepical method is used as a solution to the smartphone. The application of reading a digital Quran application in away of data collection, data reduction, data presentation, and a withdrawal of conclutions or otherwise know by miles and huberman interactive models has yielded results from where reading the Quran could direct youth to use smartphones on positive things. Students or adolescents affected by smartphone addictions in the interview express better changes in themselves and want to continue reading Quran applications on their order to break from their smartphone addictions.
Keywords: Smartphone Addiction, Fighting power, Academic Achievement, Adolescence
ABSTRAK
Remaja pada zaman sekarang merupakan orang yang sangat dekat dengan perkembangan teknologi yang sangat pesat. Remaja merupakan sasaran utama pengembangan fitur-fitur yang ada di dalam Smartphone, dengan ini memudahkan remaja menjadi candu pada penggunaan Smartphone dan tentunya hal ini juga menimbulkan daya juang belajar pada remaja menjadi lemah yang mengakibatkan penurunan pada prestasi akademik. Artikel ini menggunakan metode studi kepustakaan sebagai pendekatan kualitatif deskriptif yang menggambarkan fenomena adiksi smartphone (ponsel pintar) pada siswa atau remaja. Dalam hal ini, remaja harus lebih memperhatikan waktu penggunaan Smartphone mereka. Remaja juga harus mendapatkan metode belajar yang tepat untuk mengatasi adiksi ponsel pintar. Selain itu, metode keislaman dipergunakan sebagai solusi mengatasi smartphone addiction. Penerapan membaca aplikasi al-Quran digital yang dilakukan dengan cara pengumpulan data, reduksi data, penyajian data, dan penarikan kesimpulan atau yang dikenal dengan teknik analisis data pada konsep miles and huberman interactive model berhasil menunjukkan hasil tentang penerapan membaca al-Quran mampu mengarahkan remaja untuk menggunakan smartphone kepada hal yang positif. Siswa atau remaja yang terkena adiksi smartpone menyatakan perubahan lebih baik pada diri mereka dan ingin terus membaca aplikasi al-Quran pada ponsel mereka untuk dapat berhenti dari kecanduan smartphone mereka.
Kata Kunci: Smartphone Addiction, Daya Juang, Prestasi Akademik, Remaja