Digital Addiction Scale Research Articles

A cross-sectional study to assess the addiction towards digital gadgets using digital addiction scale among young adults

Introduction: In today's hyper-connected world, digital gadgets have become an integral part of everyday life, particularly among young adults. From smartphones, laptops to tablets and gaming consoles, these devices offer a multitude of functionalities that enhance communication, entertainment, and productivity. However, alongside the benefits, there's a growing concern about the addictive nature of these gadgets and their potential impact on the well-being of young adults. Aim:To evaluate the addiction towards digital gadgets among young adults. Methods: Non experimental research design andPurposive Sampling technique were used; 1100 people who meet the inclusion criteria make up the study's sample size. Quantitative research strategies using Digital Addiction Scale (DAS) questionnaire. The DAS is scored (1–5), the mean score is (3), and >3 is considered high risk of digital addiction; <3 is considered low risk of digital addiction. Results: The majority of participants (74%) were between the age group of 18-26 years, with UG persue (96%). The most commonly used gadgets was smart phone (96%). The maximum hours of use are 2-5 hours (97%), with the primary objective being socialmedia (79%). The study found; the level of addiction was mild (7%), Moderate (51%), severe (34%) and Very severe (8%). It illustrates the severity of addiction; the number of severe and very severely addicted participants (42%) as severity rate. Mild and moderate are removed to focus on severity of the prevalence. Conclusion: The study concluded that 42% of individuals are significantly addicted towards digital gadgets.

A Model for Explaining Digital Addiction in Adolescents: The Role of Self-Perception, Social-Emotional Learning, Adolescent-Parent Relationship and Peer Relationships

Objective: This study was aimed at examining the levels of digital addiction in adolescents with a regression model created with self-perception, adolescent-parent relationships, peer relationships, and social-emotional learning (SEL) skills. 
 Method: The participants consisted of 504 high school students. The data were obtained through the Personal Information Form, the Digital Addiction Scale, the Adolescent-Parent Relationships Scale, the Friendship Quality Scale, the Self-Perception Scale, and the Social and Emotional Learning Scale. 
 Results: Self-perception, adolescent-parent relationship, and SEL skills were significant predictors of adolescents' digital addiction levels, while the peer relationships was not. Additionally, the regression model explains approximately 27% of the total variance of digital addiction in adolescents.
 Conclusion: The ability of digital platforms to compensate for negative self-perception during adolescence, coupled with inadequate SEL skills, may hinder adolescents from forming satisfying real relationships with themselves and their environment, ultimately increasing their levels of digital addiction. In families without satisfying relationships with parents where there is no positive, warm, supportive, and safe climate, this may cause digital addiction in adolescents.

Effect of frequent smartphone use on children’s cognitive function: An observational study

Background – Children and teenagers use smartphones more actively than adults, they are more prone to get addicted to smartphones. Furthermore, studies show that excessive use of smartphones can lead to psychosocial and physical symptoms in children between age group of 5-15 years. Psychosocial symptoms include decline in cognitive function and Physical symptoms includes faulty habitual posture and temporomandibular disorders. Purpose of the study – To find the effects of frequent smartphone use on children’s cognitive function. Methodology– A self-constructed e-questionnaire based on “Digital Addiction Scale for Children” and “Cognitive Flexibility Scale” was sent randomly to various social groups through various social media platforms. A total of 50 parents responded to the survey and were included in the analysis. Results – From the responses we found out that 23% children use smartphones for more than 4 hours a day and out of them cognitive function was affected in 66.7% of children and faulty cervical posture is seen in 72.2% children. Conclusion – The study concluded that prolong smartphone usage affects cognitive function in children below 15 years of age.

Digital addiction in children with end-stage kidney disease on regular hemodialysis: a cross-sectional study

BackgroundChronic kidney disease has a detrimental impact on the overall quality of life (QoL) in children. The regular visits to doctors, prolonged reliance on medication, frequent hospital stays, and changes in their physical appearance increase their vulnerability to developing psychiatric problems and hinder their daily activities and social interactions, resulting in isolation, poor peer relations, and low self-esteem. These factors may compel these children to depend on digital media to find connections, regulate emotions, and cope with their illnesses. The study aims to determine the prevalence of electronic addiction among minors undergoing regular hemodialysis for end-stage kidney disease (ESKD) while simultaneously assessing their parental styles and psychological adaptation.A total of 60 subjects were enrolled in the study and divided into two groups. Group A: Thirty patients undergoing regular hemodialysis for ESKD. Group B: Thirty healthy subjects of matching age and sex. All the recruited participants were subjected to semi-structured clinical interviews according to our institute’s sheets, Child Behavior Checklist (CBCL), Digital Addiction Scale for Children (DASC), Parent Authority Questionnaire (PAQ), and Psychological Adaptation Scale.ResultsPatients patients had a significantly higher prevalence of digital addiction compared to healthy subjects, with an average score of (87.00 ± 21.23) in dialysis patients against (53.00 ± 25.20) in normal participants, demonstrating significant differences (p< 0.001). There was a significant correlation between the duration of dialysis treatment and the prevalence of digital addiction (r = -0.415, p-value = 0.023). A significant inverse correlation was found between digital addiction and the emotional subtype of the psychological adaption rating (r= -0.375, p= 0.041).ConclusionThe findings revealed that dialysis patients have a higher incidence of digital addiction. Prolonged dialysis duration was significantly associated with increased digital addiction among patients.

The impact of artistic and sporting activities on children's levels of digital addiction, aggression, and psychological resilience

ObjectiveThis study aims to investigate the effects of engaging in artistic and sporting activities on children's levels of digital addiction, aggression, and psychological resilience. Material and methodThis cross-sectional study encompasses children aged 11–12 who are regularly engaged and not engaged in artistic or sporting education. The study involved 623 children. Data collection utilized the “Digital Addiction Scale,” “Child and Adolescent Psychological Resilience Scale,” and “Reactive and Proactive Aggression Scale.” ResultsThe study found statistically significant effects of engaging in sporting and artistic activities on digital addiction, psychological resilience, and reactive aggression (p < 0.05). Compared to the group with no activity, children engaged in artistic activities scored −4.38 units lower on the digital addiction scale, while those engaged in sports scored −4.23 units lower. Similarly, compared to the group with no activity, children engaged in artistic activities scored 3.32 units higher on the psychological resilience scale, and those engaged in sports scored 3.30 units higher. As children's psychological resilience scores increased, their scores for digital addiction and aggression decreased. Conclusion and recommendationsParticipation in such activities can help children acquire healthy coping skills, strengthen their emotional regulation abilities, and reduce problems associated with anger. Therefore, encouraging children to engage in these activities is crucial for contributing to their overall well-being and promoting a balanced lifestyle. Implications for nursing practiceNurses can educate families about the importance of sports and artistic activities for the healthy development of children. Moreover, diversifying the activities offered to children in schools and youth centers and encouraging these activities can help promote healthy lifestyles and reduce digital addiction.

The Effect of Digital Addiction on Psychological Well Being among Secondary School Students in Karak Governorate

The study aimed to identify the effect of digital addiction on the psychological Well Being of secondary school students in Karak. The descriptive survey methodoligy was used. The study sample consisted of (150) male and female students who were randomly selected. The questionnaire was used as a study tool as a digital addiction scale and another scale was developed for psychological Well Being. The results of the study concluded that there WAS a statistically significant effect of digital addiction on the psychological well being of secondary school students in Karak. And there were no statistically significant differences towards digital addiction and psychological well being due to the interaction between the variables of gender and scientific specialization.

The Turkish Adaptation Study of the Digital Addiction Scale For Children: A Validity and Reliability Study

Objective: The study was conducted to perform the Turkish validity and reliability study of the Digital Addiction Scale for Children (DASC). Methods: The study was completed with 259 students (primary school 4th grade, secondary school 5th, 6th, and 7th grades). The research data were analyzed by transferring them to Statistical Package for the Social Science (SPSS) 25 and Amos 22.0.0.0 package programs. In the validity and reliability analyses of the scale, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability analysis (Cronbach’s alpha), and test-retest were performed to determine the internal consistency of the factors. Results: The Kaiser-Meyer-Olkin value was found to be 0.941 as a result of EFA, and the following fit indices were obtained as a result of CFA; χ²/sd: 2.258, (RMSEA): 0.07, Comparative Fit Index (CFI): 0.907, Standardized Root Mean Square Residual (SRMR): 0.049. Cronbach's alpha value of the overall 25-item scale was found to be 0.946. As a result of the test-retest, the Intraclass Correlation Coefficient (ICC) was identified as 0.938 for the overall scale. Conclusion: It was found that the DASC was a valid and reliable measurement tool that could assess the level of digital addiction in Turkish children aged 9-12.

 Adaptation of the Child-Adolescent Digital Addiction Scale (CADAS) to the Turkish Culture: A Validity and Reliability Study

Purpose: Digital addiction has become one of the types of behavioral addiction that has started to affect all segments of society starting from early childhood. In this context, it was deemed necessary to adapt the Child-Adolescent Digital Addiction Scale (CADAS) to determine the digital addiction levels of school-age children&#x0D; &#x0D; Design &amp; Methodology: Within the scope of adaptation, data were collected from 305 students from 4th to 12th grades (Mage = 14.14, SD = 2.40) for exploratory factor analysis (EFA), 301 students (Mage = 13.36, SD = 2.16) for confirmatory factor analysis (CFA) and 372 students (Mage = 12.26, SD = 1.55) for criterion validity. Data were collected face-to-face and online voluntarily. &#x0D; &#x0D; Findings: EFA and CFA were used to determine the validity level of the scale. For criterion validity, the correlation obtained from the Digital Game Addiction Scale (r=.77) and the Social Media Addiction Scale for Adolescents (r=.74) was examined. Cronbach alpha (.875) and McDonald ω (.872) values were calculated for the reliability of the scale. In addition, the corrected item-total correlations of the scale ranged between .66 and .85.&#x0D; &#x0D; Implications &amp; Suggestions: The findings of the study show that CADAS is valid and reliable for Turkish culture.

Digital Addiction in Children and Affecting Factors.

This study was conducted to identify the digital addiction levels of secondary school students in Northern Cyprus and the factors affecting them. The study was a descriptive, cross-sectional and methodological study. In this study, seven primary and secondary schools were selected randomly in Northern Cyprus and a total of 844 students were included in the study. The children scored 48.12 ± 17.46 points on the "Digital Addiction Scale for Children". Gender, economic status, age, reasons for using the internet, own cell phone, duration of cell phone and computer use, own computer, mother's education and place of residence significantly affected the children's digital addiction level (p < 0.05). Digital tools have entered many areas of our lives and while they have positive and helpful aspects, their negative aspects are coming to light day by day. Especially with the COVID-19 pandemic, digital tools have entered our lives more and children have encountered digital tools at an earlier age. It is thought that there is a need to warn about the negative and harmful effects of digital tools on children and to inform families more about this issue. It is recommended not to ignore the negative effects of digital tools and to implement practices to prevent addiction under parental supervision.

Health impact of screen addiction: A cross-sectional comparative study.

Background Prevalence-based, non-comparative studies have been done to assess psychological and physical consequences of social media and gaming addiction. However, similar studies are lacking for binge-watching, especially in India. We compared the physical and psychological health impact between screen addicted and healthy screen users, by minimizing bias due to confounding factors. Methods We did this cross-sectional comparative study among 120 participants (60 cases and 60 matched controls) consisting of gamers, social media users and binge-watchers, who were recruited from schools and colleges of Mumbai based on their scores on the Digital Addiction Scale (DAS). Levels of depression, anxiety and stress; sleep quality; and dry eye disease were assessed using pre-validated scales such as DASS-21, Pittsburgh Sleep Quality Index (PSQI), and Ocular Surface Disease Index (OSDI), respectively, while the other variables were assessed using a self-designed questionnaire with a content validity ratio (CVR) >0.65. Results The mean (SD) age of the participants was 19.3 (3.2) years, one-third were women; 68% were from medical colleges and 16% each from engineering colleges and high schools. The prevalence and scores of depression, anxiety and stress; poor sleep quality; and dry eye disease; and prevalence of loneliness, aggression and musculoskeletal pain in the wrist, thumb, neck and back were significantly higher in the screen addicted group (p<0.05). Conclusions There was a significant difference in the prevalence and levels of physical and psychological health impact between screen addicted and healthy screen users.

Adaptation of Digital Addiction Scale for Children (DASC) into Turkish

Adaptation of Digital Addiction Scale for Children (DASC) into Turkish

Çocuklar İçin Dijital Bağımlılık Ölçeğini Türkçeye Uyarlama Çalışması

The aim of this study is to adapt the 'Digital Addiction Scale for Children,' developed by Hawi, Samaha, and Griffiths (2019), into Turkish to create a valid and reliable measurement tool for determining the levels of digital addiction among 4th-grade primary school students. For the adaptation of the scale into Turkish, 771 4th-grade primary school students from the central districts of Mersin province were included in the study using a convenient sampling method. First, the translation of the scale into Turkish was carried out with the support of language and field experts. Subsequently, Confirmatory Factor Analysis (CFA) was applied to establish construct validity. According to the results of the conducted CFA, it was found that the structure of the 'Digital Addiction Scale for Children', consisting of 25 items and 9 subscales, had good model fit indices. The Cronbach's Alpha internal consistency coefficient for the reliability of the scale was calculated as .95 for the entire scale. Based on the findings obtained in the study, it can be stated that the 'Digital Addiction Scale for Children' is a valid and reliable measurement tool that can be used to determine the levels of digital addiction among primary school students in Turkey.

Digital Addiction and Related Factors among College Students.

(1) Background: Digital addiction has been a global concern, with college students becoming increasingly vulnerable to it. The detrimental psycho-physiological effects of digital addiction have raised concerns regarding college students' health. This descriptive correlational study was conducted to evaluate the prevalence of digital addiction and identify influencing factors among college students, such as body shape satisfaction, time management, and psychological health. (2) Methods: Data were collected from 199 students at a university in Seoul, South Korea, from 30 May to 13 June 2023. The Digital Addiction Scale (DAS), Time Structure Questionnaire (TSQ), General Health Questionnaire (GHQ), and Body Shape Questionnaire (BSQ) were used for the assessment. Data (N = 199) were analyzed using descriptive statistics, one-way ANOVA, Pearson's correlation coefficient, and stepwise multiple regression. (3) Results: The mean score for digital addiction was 54 ± 12, with scores ranging from 23.0 to 89.0. Digital addiction had a significant positive correlation with body shape satisfaction (r = 0.156, p = 0.028) and a negative correlation with time management (r = -0.500, p < 0.001). In the stepwise multiple regression model of digital addiction (adjusted R2 = 0.285, p < 0.001), subfactors of body shape satisfaction (fear of fatness β = -0.280, body dissatisfaction β = 0.401) and time management (effective organization β = -0.211, persistence β = -0.209, past orientation β = -0.165) were statistically significant. (4) Conclusions: Body shape satisfaction and time management are important factors influencing digital addiction among college students. However, it does not establish a direct causal relationship. The findings indicate that there is a statistical association or connection between these factors, but they do not definitively state that body shape satisfaction or time management directly cause digital addiction. To decrease digital addiction in this population, interventions should aim to improve body shape satisfaction and time management.

Digital Addiction and Financial Literacy: A Study on University Students

Addiction, basically two groups are examined. The first is piracy of individuals, and the second is psychological theft. Examination as the use bodies of substances related to external factors constantly get used to these substances, depending on external factors, and undesirable results may occur when these components cannot be taken into the body. Traditional habitual hacking, which is described as digital addiction, brings with it an interest in technological devices and a lack of access to them. Digital components guide the spirits that feed the conflict in case the higher units cannot access the relevant devices, and tolerance for guests and other children is observed. Financial literacy, which is the other variable of the research, defines the limits of being able to make effective decisions about the management of money. This concept, which can also be defined as the act of saving information, does not include intelligent action in details such as investment, budget, debt, portfolio diversification. Financial literacy can also be interpreted as making behavioral decisions such as making financial plans, saving and spending results. Financially literate people are well versed in money management and are well acquainted with the economic processes of saving. This concept, which is considered important of financial resources in crisis environments, is evaluated as individuals' correct interpretation of their financial resources and acting in this context. The increase in the concept of financial literacy has revealed economic fluctuations. As a matter of fact, it is seen that countries and societies with high financial information have high savings. These countries are generally the ones that have learned lessons from the financial crises.&#x0D; The aim of the research is to determine whether digital addiction has an effect on financial literacy. In this context, university students were selected as a sample in the study, and a face-to-face survey was applied to 372 university students. Digital addiction scale and financial literacy scale were used as data collection tools in the research. Both of the research scales are in five-point Likert type. The research data were analyzed by the SPSS 26 program, correlation and regression analyzes were carried out between the two related variables that constitute the subject of the study. When the results of the analysis were examined, it was determined that digital addiction did not have a significant relationship on financial literacy. At the same time, within the scope of testing the research hypothesis, it was determined that digital addiction did not have any significant effect on financial literacy.

Gençler için Dijital Bağımlılık Ölçeğinin Türkçe'ye Uyarlanması Geçerlik ve Güvenirlik Çalışması

The aim of this study is to adapt the "Digital Addiction Scale for Teenagers" developed by Seema, Heidmets, Konstabel and Varik-Maasik (2022) into Turkish. The study was carried out with 599 students studying in secondary and high schools. Within the scope of translation and language validity, firstly, the scale was translated from its original language, English, to Turkish. Afterwards, the Turkish statements were finalized with the consensus of the field and language experts. As a result of the CFA analysis, it was found that the scale had model fit (χ²/Sd= 128.614/28=4.59; p

Dijital Bağımlılık ile Yaşam Doyumu Arasındaki İlişkinin İncelenmesi

This study aimed to explore the relationship between digital addiction and life satisfaction among university students across their demographic characteristics. A sample of 264 university students, including 148 females and 116 males, was selected through a random sampling method. The "Digital Addiction Scale (DAS)" developed by Kesici and Tunç (2018) for university students was administered to assess digital addiction levels. The " Satisfaction with Life Scale (SWLS)," developed by Diener et al. (1985) and adapted into Turkish by Dağlı ve Baysal (2016), was utilized to evaluate participants’ satisfaction with life. Descriptive statistical methods, such as percentage and frequency, were employed to determine the demographic characteristics of the participants. The data were assessed for normal distribution based on the skewness and kurtosis values. Additionally, parametric tests such as independent sample t-test and one-way ANOVA test were employed. Pearson’s correlation analysis was employed to determine the relationship between the sub-dimensions of the scale. The findings indicated a significant difference in the sub-dimensions of the digital addiction scale based on participants’ age, frequency of digital tool use, and level of welfare. However, no significant difference was found in the sub-dimensions of digital addiction and life satisfaction levels according to gender and grade level variables. On the contrary, there was a correlation between the life satisfaction scale and sub-dimensions of the digital addiction scale. Consequently, the relationships between digital addiction and life satisfaction levels varied depending on the socio-demographic characteristics of the participants.

Sistem Pakar Deteksi Dini Tingkat Kecanduan Gadget pada Anak Menggunakan Fuzzy Tsukamoto

Information and communication technology continues to develop and progress which demonstrated by the presence of gadget technology. Gadgets are smart electronic devices that assist in making it simple for users to accomplish various task. The use of gadget technology in children are unable to be separated. According to the 2020 KPAI survey, approximately 71,3% of school-age children own and have played with gadgets for a longer time. As a result, it is expected that early detection of gadget addiction can be carried out to ensure that mental and emotional disorders in children who use gadgets can be properly addressed. The aim of this research is to create a prototype expert system for early detection of gadget addiction levels in children using the fuzzy tsukamoto. The fuzzy tsukamoto method was used in this study. This study included 74 respondents aged 9 to 12 years old. The DAS (Digital Addiction Scale : For Children) was used as the data collection method in this study. The system’s as performance will be evaluated using 74 respondents data by comparing the result of expert calculations and fuzzy tsukamoto method calculations. Fuzzy Tsukamoto reasoning with 64 rule bases in used to build this expert system. According to evaluation with 74 respondent data, this expert system has a system acurracy rate of 87,83%, which indicates that it proceeds succesfully.

Exploring the relationship between digital addiction and online learning readiness levels of university students

This study explores the relationship between digital addiction and online learning readiness levels of the university students. For this, the predictive correlation research model was used. The sample of the study consisted of 856 university students studying at three different universities in Türkiye. The “Digital Addiction Scale” and the “Online Learning Readiness Scale” were used as data collection tools. The data collection process of the study lasted approximately one month. In the study, besides descriptive statistics such as mean, standard deviation, minimum and maximum, independent sample T-test, Pearson correlation analysis and simple linear regression analysis were used. It was concluded that university students’ digital addiction (DA) levels were at moderate level, and online learning readiness (OLR) levels were at high level. It was determined that DA levels of male students were higher than female students. It was also revealed that OLR levels of the students differed significantly according to gender variable. The findings also indicated that there was a negative, low-level significant relationship between the students’ DA and OLR levels. Additionally, the students’ DA level was found to explain 2.3% of the variance in their OLR.

Prevalence of screen addiction and its association with screen use behavior and type of content consumed in the general population of Mumbai metropolitan region

Background: Varied prevalence of internet, gaming and smartphone addiction have been estimated across different regions. Though gaming and internet addiction have already been recognized, the emerging trend of binge-watching also demands attention. There was a need to estimate their prevalence using a uniform scale, compare addiction scores and also assess its association with content consumed and screen use behavior. Methods: A cross-sectional study was conducted among 252 participants who were recruited using stratified random sampling and were interviewed using digital addiction scale and a self-designed questionnaire (CVR&gt;0.65). Results: The prevalence of screen addiction was found to be 13% and found to be associated with age (p&lt;0.01), sex (p&lt;0.01), type of content consumed (p&lt;0.05), device used (p&lt;0.01), self-reported causes (p&lt;0.01), withdrawal (p&lt;0.01) and screen use specific psychological phenomenon (p&lt;0.01). Addiction scores of gamers, social media users and binge watchers were comparable (p&gt;0.05). Conclusions: The prevalence of screen addiction is substantially high, particularly in the younger population. This study also highlights the strong association of screen use behavior and type of content consumed and apps used with addictive screen use. The similarity in addiction scores and associated factors also support the use of umbrella term ‘Screen Addiction’ to group all kinds of addictive screen usage.

Öğretmen Adaylarında Okumaya Yönelik Tutum Ve Dijital Bağımlılık Arasındaki İlişkide Denetim Odağının Aracı Rolü

This research aims to investigate a relationship between digital dependency and reading behaviour of pre-service teachers and how locus of control mediates this relationship. In the research, conducted with 804 pre-service teachers aged 18-25, data was collected using a demographic data form, digital addiction scale, reading attitude scale and locus of control scale. Within the sub-problems of the research, Pearson Product Moment Correlation Analysis and Mediation Analysis were applied to the dataset. The findings show that digital addiction is negatively correlated with attitude towards reading and positively correlated with locus of control showed that there is a significant relationship. Attitude towards reading and locus of control were found to have a significant negative relationship. It was found that locus of control was a partial mediator of the relationship between the level of digital addiction of pre-service teachers and their attitudes towards reading. Accordingly, it was concluded that the attitudes towards reading of pre-service teachers with high digital addiction and external locus of control were more negative than their peers with high digital addiction but internal locus of control.