Daily Internet Research Articles

Visual impairment is associated with daily Internet use among older Japanese individuals: Cross-sectional study (Preprint)

Visual impairment is associated with daily Internet use among older Japanese individuals: Cross-sectional study (Preprint)

Правове регулювання захисту персональних даних

The author examines contemporary principles of legal regulation regarding the protection of personal data, driven by the relevance of issues directly related to personal data protection, including the proliferation of digitalization in society and daily internet usage. This will make it possible to address the challenges and threats arising within the framework of modern development of civil society and the democratic and legal state in Ukraine, including unauthorized dissemination of personal data on social media, primarily containing negative legal characteristics. Therefore, attention is drawn to the necessity of optimizing the legal regulation of personal data protection, especially concerning the search for the most effective and reliable methods and means of their protection. Considering that the issue of personal data protection on the Internet concerns both the data subject (individual) and the state, a robust legislative framework is necessary, as data recipients do not always (sometimes not fully or selectively) adhere to legal norms. The state’s advantage in guaranteeing the protection of personal data, and, furthermore, its duty of legal regulation and observance of the individual’s right to the protection of their personal data, is proven. Additionally, the obligations of the parties involved in the use of personal data to ensure the protection of such data, particularly in terms of preventing unlawful access to them and information compromise, are substantiated. Therefore, it is noted that the legal regulation of personal data protection provides for a vertical of state services and authorities with corresponding powers to act exclusively within the framework of ensuring protection against unauthorized use of personal data. It has been clarified that one of the most common reasons for the danger and unauthorized use of personal data is primarily digital illiteracy (or its low level) among Internet users, especially concerning social networks, in terms of the availability of legal and technically secure means to safeguard personal data, both individual and state-wide. The study made it possible to conclude that, firstly, it is the state which is obliged to create the most effective regulatory and legal means of personal data protection, and, secondly, legal regulation of personal data protection provides for a set of preventive measures aimed at suppressing offences, applying coercion to offenders, and restoring the violated rights of an individual in terms of protection of his/her personal data.

A Study on the Levels of Adoption of Cyberculture and Global Citizenship among Social Studies Teacher Candidates

The research utilized the descriptive survey model, a quantitative research method, with a study group consisting of 172 social studies teacher candidates (131 females, 41 males). As data collection tools in the study, the Cyberculture Adoption/Development Level Scale developed by Koçak (2019) and the global citizenship scale (Global Citizenship Scale –GCS) developed by Morais and Ogden in 2010 were used. The Turkish adaptation, validity, and reliability study of the global citizenship scale was conducted by Tutkun (2019). In addition, a personal information form prepared by the researcher was used. The data analysis involved the use of the Independent Samples t-test, to determine the relationship between participants' scores on the cyber culture adoption level scale and the global citizenship level scale concerning the gender variable. For situations where differentiation was observed based on class, social media usage purpose and internet usage frequency, the One-Way ANOVA was employed for unrelated Samples. The findings of the research indicate that there is no statistically significant difference in the levels of cyberculture adoption and global citizenship among teacher candidates concerning gender and class variables. When examining the variable of social media usage purpose, a statistically significant difference is observed in the global citizenship levels of teacher candidates. In contrast, no statistically significant difference is found in the levels of cyberculture adoption. Regarding the daily internet usage duration variable, no impact is observed on the global citizenship levels of teacher candidates. In contrast, a statistically significant difference is found in the levels of cyberculture adoption.

FEAR OF PREGNANCY AND BIRTH

This study aimed to examine the relationship between internet use and fear of childbirth in pregnant women. This descriptive cross-sectional study was conducted with a total of 385 pregnant women who were referred to a hospital in Turkey. Data were collected using a personal information form and the Women Childbirth Fear – Prior to Pregnancy Scale (WCF-PPS). The WCF-PPS total mean score of the pregnant women was 38.04±10.49 (17-60) and there was a weakly significant positive correlation between their WCF-PPS total score and duration of daily internet use. In addition, there was a statistically significant relationship between their WCF-PPS total mean score, the issues searched on the Internet about pregnancy/childbirth, the status of believing in the accuracy of the information they obtained on the Internet, the status of confirming this information by health professionals, and the status of having concerns about this information (p

Risks and protection: a qualitative study on the factors for internet addiction among elderly residents in Southwest China communities

BackgroundIn the global trend of actively promoting the participation of older adults in the digital age, the relevant negative issues featuring potential Internet Addiction (IA) among them has risen to be a new challenge facing the global public health. However, there is a severe lack of related research. This study aimed to gain a comprehensive understanding of the phenomenon and process of IA among the elderly. The purpose of this paper is to introduce factors that may influence IA in the demographic.MethodsThis study employed qualitative descriptive research methods to investigate older adults’ perceptions and experiences of IA. Semi-structured in-depth personal interviews were conducted between March and June 2023 with 36 senior citizens from urban communities in Chongqing, Southwest China. Data were analyzed via inductive content analysis methods.ResultsThrough data analysis, 2 main categories concerning IA in older adults were identified: risk factors and protective factors. The risk factor categories include 5 individual factors (e.g., Internet as the major avenue for pursuing personal hobbies and interests, etc.), 3 family factors (e.g., household WIFI increasing the risk of prolonged Internet use indoors, etc.), 2 peer factors (e.g., peer recommendation and guidance as catalysts for intensified Internet engagement, etc.), 2 socio-environmental factors (e.g., the widespread daily Internet use spurs offline intolerance, etc.), and 3 Internet platform factors (e.g., the plenitude of online content triggers endless viewing/browsing behaviors, etc.). The category of protective factors encompasses 2 individual factors (e.g., a higher level of perceived risk regarding internet health hazards, etc.) and 2 family factors (e.g., more family commitment, etc.).ConclusionsOlder adults’ Internet addictive behaviors are shaped by multiple and complex internal and external factors. A higher level of online health risk perception is a key protective factor to effectively avoid the occurrence and deterioration of IA among the aged, a distinct finding from this study. It is believed that the “individual-family-peer-community” synergy strategy is expected to become an essential direction for IA intervention for older adults, in order to promote healthy Internet use among older adults.

Internet Addiction in Nursing Students: An Evaluation in Terms of Feelings of Inadequacy and Psychological Resilience Predictors

Abstract
 Objective: This study aimed to determine the relationship between internet addiction, psychological endurance, and inadequacy feelings in nursing students. 
 Materials and Methods: This study was designed as a correlational, descriptive cross-sectional study. The sample of the study consisted of 536 students studying at the health sciences faculty of a university in the west of Turkey. The personal information form, the Internet Addiction Scale (IAS), the Psychological Resilience Scale (PRS) and the Inadequacy Feeling Scale (IFS) were used for data collection between February-April 2018.
 Results: It was determined that meeting expectations, being a controlling father, and doing the homework on the internet had a decreasing effect on the IAS score averages. On the other hand, aimless surfing on the internet, daily internet connection time, and playing games were found to have an increasing effect. It was found that the increase in PRS subscale scores (excluding challenge) had a reducing effect on the symptomatic status of IAS. In addition, it was found that the increase in IFS subscale scores had an increasing effect on the symptomatic state. 
 Conclusion: It is determined that feelings of inadequacy and psychological resilience are important factors in students' internet addiction. Training programs on problem solving, coping with stress and effective internet use can be planned for youth, who are the future of society.

Internet addiction among MBBS students at a New Delhi medical college: Prevalence and determinants of a silent pandemic.

The 21st century has witnessed a surge in global internet usage, particularly in developing nations like India. Internet addiction, also known as pathological internet use (PIU) or internet addiction (IA), has emerged as a mental health concern, especially among university students. This study aimed to investigate the prevalence of IA among MBBS students in a medical college in Delhi, India, and explore the association of IA with sociodemographic and internet usage patterns. A cross-sectional observational study was conducted among 300 undergraduate medical students. Data was collected using a self-administered questionnaire, which included the Internet Addiction Test (IAT) developed by Dr. Kimberley Young. The IAT measures various aspects of internet use, and scores are categorized as normal user, mild addiction, moderate addiction, and severe addiction. Descriptive statistics and chi-square tests were used for data analysis. The mean age of onset of internet use was 14.4 ± 1.6 years. Smartphones were the most common devices used for internet access (96.3%), and the mean daily internet usage was 2.9 h ± 0.9 (standard deviation [SD]). The study found that 70.7% of students maintained a permanent login status. The majority of subjects used the Internet for coursework (89.7%) and information searches (88.7%). The prevalence of IA was significant, with 90% of participants being addicted to varying degrees. The grading of IA revealed 10% with no addiction, 54.6% with mild addiction, 32% with moderate addiction, and 3.3% with severe addiction. IA is a prevalent public health concern among medical students in Delhi, with a majority of participants being addicted to some extent. Females showed a higher proportion of addiction compared to males. Certain internet activities, such as social networking and watching online videos, were significantly associated with IA. The study highlights the need for recognizing IA as a public health concern and further research to understand its impact on the youth. Longitudinal studies are recommended to observe the development and progression of IA over time.

Together in bad times? The effect of COVID-19 on inflation spillovers in China

This study estimates the cross-category inflation spillovers of consumption markets in China in the time-frequency domain, and evaluates the impact of the COVID-19 pandemic on the connectedness. Using the daily internet Consumer Price Index (iCPI), we measure the dynamic inflation connectedness among eight consumption categories in different frequency bands. We find, in the aftermath of the pandemic, inflation rates in eight consumption categories show significant changes. When China was in the active control period from January 2020 to April 2020, the overall connectedness of all frequency bands increases dramatically, but fluctuates widely in the normal control period since April 2020. Further research finds that the fear indexes for COVID in China and globally increase the overall connectedness in the high frequency band, thus indicating that prices tend to move together in bad times of the pandemic in the short-term. The fear for COVID in China and globally increases spillovers received and transmitted at the high frequency in most categories, with the exception of transportation and communication, where the spillovers are reduced. Nevertheless, in the medium-term and long-term, the impacts of the pandemic on directional spillovers show significant heterogeneity across categories. Compared with the fear for the COVID-19 in China, the fear for the global pandemic generates a stronger impact on inflation spillovers. Overall, pandemic-induced shocks have immediate and persistent impacts on cross-category inflation spillovers.

Examining the e-learning attitudes of Indonesian students during the COVID-19 pandemic

The COVID-19 epidemic has impacted higher education institutions across the country by switching traditional teaching practices to online learning. The attitudes of students towards e-learning are essential to research in order to determine the extent to which successful implementation of online learning. Thus, this research aims to evaluate the attitudes of Indonesian students towards e-learning throughout the pandemic. The study adopted a quantitative research approach through a survey questionnaire. The attitude of students was evaluated using the attitude scale towards e-learning. The questionnaire comprised 20 items assessing students’ attitudes towards remote learning. A questionnaire was distributed to 342 (255 female and 87 male) undergraduate students who took online courses at an Indonesian state university. The statistical analyses including descriptive statistics, t-tests and one-way ANOVA were used in the present study. The results suggested that students’ e-learning attitudes tend to be neutral. The t-test and ANOVA indicated that there was no statistically significant gap in students’ attitudes with respect to gender, daily internet usage time or level of COVID-19. Meanwhile, age, study year and personal computer ownership exerted a statistically significant impact on e-learning attitudes. Teachers can better prepare for the adoption of online learning during COVID-19 and beyond by using the valuable insights provided by the findings.

Daily Internet Use and Its Association with Drug Behaviour in Adolescence

The paper deals with the most widespread electronic medium among adolescents – the Internet. The main aim was to discover how young people spend their leisure time in the online world, with a particular focus on the relationships and differences between Internet use, particular activities, and legal drug use. The chosen quantitative research methodology was applied through a Leisure Time Activity Questionnaire and selected questions from the SMF questionnaires on a sample of 180 respondents attending secondary school, aged 15 to 19. We found that almost 90% of the respondents spend more than 2 – 3 hours a day on the Internet, of which 20% spend up to 6 hours or more. Despite expectations, we found significant negative relationships between the amount of time spent online and rates of legal drug use. Additional analysis showed significant differences between groups of adolescents in online activities such as gaming, listening to music, killing boredom, watching pornography and arranging activities. These results point to a possible protective effect of selected types of activities that young people engage in while online in relation to engaging in drug use behaviours.

Internet addiction and depression: a study among adolescents.

The goal of our study is to determine the level of Internet addiction (IA) in adolescents by utilizing the IA scale. We employed two tools: the IA test (IAT) and the beck depression inventory (BDI), complemented by a sociodemographic information form, to assess IA and depression levels. A total of 201 participants were included. A positive correlation was found between daily Internet usage time and IAT scores (r = 0.388, p < 0.001) and between BDI scores and IAT scores (r = 0.161, p = 0.013). Females had a lower mean IAT score (63.56 ± 28.08) (p < 0.001). The BDI scores varied significantly across the groups (p = 0.004). The mean BDI scores were higher in the severe addiction group (13.53 ± 7.15) compared to the moderate (11.04 ± 6.62), mild (10.11 ± 5.38), and normal usage groups (9.28 ± 5.54). A significant difference was found in gender distribution across the groups (p = 0.001). The presence of suicidal ideation differed significantly across the groups (p = 0.002). The presence of depression showed a significant difference (p = 0.038). Our study reveals a significant correlation between increased Internet usage and heightened levels of IA and depression among adolescents, with notable gender differences in IA severity.

Factors Affecting Time Management Ability among Medical Sciences Students during the COVID-19 Pandemic

Time management (TM) is a crucial academic ability, especially as schools transition from conventional to virtual instruction delivery during the coronavirus disease 2019 (COVID-19) pandemic. The aim of the study was to identify the variables affecting medical science undergraduate students in Iran during the COVID-19 pandemic. This web-based cross-sectional study was conducted in 2021. Participants included medical students and students pursuing a bachelor’s degree in medical sciences. They were conveniently selected from medical universities across Iran. A demographic questionnaire and the Trueman and Hartley Time Management Questionnaire were used as study instruments. Telegram and WhatsApp were used for data collection and sampling. The SPSS program (version 22.0) and multiple linear regression (MLR) analysis were used to analyse the data. In total, 1,183 students completed the questionnaires in their entirety. The mean of their age was 22.08±3.15 years and the majority of them were female (62.04%). The mean TM score was 45.19±8.3 (with a range of 14–70), and gender, grade point average (GPA), daily study time, daily internet use time, work status, and kind of university were the significant predictors of TM ability (p &lt; 0.05). Iranian students have a moderate level of TM skill, and their work status, GPA, daily study time, daily Internet usage, and type of university are the main predictors of their TM. The shift from traditional to virtual learning during the COVID-19 pandemic highlights the importance of equipping medical students with necessary TM skills.

SMART CTZEN: A DIGITAL STORYTELLING APP TO EMPOWER YOUTH’S AWARENESS IN CYBER SAFETY AND SECURITY

The impact of the COVID-19 epidemic on Malaysian educational institutions highlights the rise in cybercrime cases among students. Studies indicate that university students are the top users of the Internet with high daily internet usage, yet, this group of users are not only the victims but also the perpetrators of cyber threats and crimes. Despite being the top Internet users, youth aged 18-25 have been found to have limited understanding of cyber threats, making them more susceptible to such threats, or to become an accidental outlaw. Therefore, this study aims to uncover the types of threats that are prevalent among university students and ways to address these threats. This study found that majority of undergraduate students experienced cyberbullying, gaming addiction, depression and anxiety due to cyber threats, online sexual harassment and online financial scams. In order to address this contemporary phenomenon, this study proposes a digital storytelling application which aims to educate youth about strategies to recognize cyber threats, respond to these threats appropriately, and make informed decisions about their cyber behaviour. It also proposes that being vigilant about these strategies are in line with Islamic teachings and principles. This will equip them with the necessary knowledge and skills to protect themselves, their finances, and their safety, security and privacy in the cyber space, so that they are able to contribute to a safer digital community.

Correlation of Nursing Students’ Digital Literacy Levels and Counseling Skills

Objective: This research was conducted as a descriptive, and correlational study to analyze the association between nursing students’ digital literacy levels and counseling skills. &#x0D; Material and Method: The study sample comprised 383 nursing students. The Personal Information Form, the Digital Literacy Scale, and the Counseling in Nurses Scale were used in the data collection process. Descriptive statistics (number, percentage), the independent samples t-test, an F-test, Pearson’s correlation test, and multiple regression analysis test were utilized in the analysis of research data. &#x0D; Results: It was found that nursing students had high digital literacy levels (66.05±12.30 points) and counseling skill scores (45.17±4.11 points). In addition, a moderate positive correlation (r=.367) was obtained between the students' digital literacy and counseling skill scores. A significant difference was determined between nursing students' educational status, daily internet use time, internet use time according to students' selfevaluations and their digital literacy scores. In addition, it was found that there was a significant difference between age, education level, daily internet usage time, choosing a profession willingly and counseling skills (p

Advanced digital skills of the Spanish population from 2015 to 2021. Socioeconomic and geographical factors according to an ordered probit model

The increasing digitalisation of the economy, especially after the COVID-19 pandemic, requires the population to have advanced digital skills. In a decentralised country such as Spain, it is necessary to identify the population’s model of digital skills acquisition by taking geographical variables into account. To this end, the aim of this research is to analyse the impact of socioeconomic and geographical variables on the level of advanced digital skills of the Spanish population including two spatial levels: regional (Autonomous Communities) and local (provinces) from 2015 to 2021. An ordered probit model is used with microdata provided by the Spanish National Statistics Institute’s Survey on Equipment and Use of Information and Communication Technologies in Households (ICT_H) for 2015, 2019 and 2021. The results of this study show that socioeconomic factors have a greater influence than geographical factors on the digital skills acquisition model. The model has undergone changes with the emergence of the COVID-19 pandemic, with an increase of advanced digital skills among the employed and the unemployed compared to inactive persons. Moreover, the importance of educational level is corroborated and the importance of daily Internet use increased during the pandemic. There was also less regional than provincial dispersion in the probability of converging in digital skills with the region and province of Madrid. This study contributes the evolution over time of the model of digital skills acquisition with socioeconomic and geographical variables, identifying intra-regional differences and indicating whether there is spatial dependence between regional and local levels in Spain, with a view to reducing them in terms of sustainability.

Exploring the reform of college mental health education based on multi-source data

Abstract With the primary study emphasis on feature extraction, this article first suggests an algorithm for identifying students’ mental health issues based on multi-source data and employs one-dimensional convolutional neural networks to extract the online trajectory patterns of pupils from online behavior segments. Anomaly ratings were computed based on student consumption statistics from the cafeteria in order to depict the dietary variations among students. Next, a DeepPsy-based algorithm for identifying pupils with mental health issues was recommended after the algorithm suggested in the preceding phase was improved. A two-dimensional convolutional neural network was used to build the Internet trajectory matrix and retrieve the daily Internet trajectory pattern. A long and short-term memory network was used to record the time-dependent connection between each day, and a deep learning network was created by fusing the fundamental features and the Internet trajectory pattern. Through experimental research, the DeepPsy model was able to detect 75.5% of pupils with mental health issues and obtained a Recall of 0.755, outperforming the multi-source-based algorithm by 19.5%. Obsessive-compulsive symptoms took the top spot among the many variables influencing mental health, coming in at 22.8%, followed by interpersonal sensitivity at 17.25%. Depression came in third with a proportion of 10.76%. As a result, instructors can use the algorithm suggested in this article to spot pupils who may be suffering from undiagnosed mental health issues.

Interpersonal Support and Social Reflection are the Solution to Internet Addiction: Empirical Evidence

The use of the internet has become one of the most leisurely activities among young adults all around the world. Growing worries over the extensive student internet usage have prompted heightened research into the determinants of internet addiction and its adverse outcomes. The existing research examined the relationships among interpersonal social support, self-reflection, social anxiety, and internet addiction in young adults. A correlation research design was used in this study. The Interpersonal Support Evaluation, Self-Reflection and Insight Scale, Social Interaction Phobia Scale, and Internet Addiction Test were used to collect data from 150 young adults having an age range 18 to 27 years. The study's results indicated a positive likelihood of a relationship between interpersonal social support and self-reflection. Conversely, an inverse correlation emerged in relation to social anxiety and internet addiction. Regression analysis unveiled interpersonal social support as an inverse predictor, while the duration of internet use in young adults positively predicted internet addiction. Moreover, no significant mean differences were found in interpersonal social support, self-reflection, social anxiety, and internet addiction between male and female young adults. The mediation models demonstrated noteworthy model fit indices and illustrated the mediation of the social anxiety-internet addiction relationship. Additionally, demographic variables (daily internet usage duration and purpose) exerted an influence on the association. The study would be helpful for the parents, institutional counselors, and teachers. if young adults are provided with interpersonal social support from their significant others, then they will not seek it in a virtual medium such as the internet.

Cyberincivility among Filipino Nursing Students in a public university: knowledge, experience, and acceptability

Introduction: The pandemic rapidly shifted nursing education to the online platform, and cybercommunication may expose students to the risk of online uncivil behaviors. Understanding cyberincivility in the primary mode of education during the pandemic is necessary. This study determined the cyberincivility knowledge, experience, and perception of acceptability among nursing students in the Philippines. Methods: A cross-sectional research design was employed with 300 Filipino nursing students of a public university who participated in the survey conducted last June 2021 using the Academic Cyberincivility Assessment Questionnaire. Data were described, and statistical differences and relationships were tested using ANOVA, t-Test, and Pearson correlation. Results: Findings indicated that nursing students generally had high knowledge (M=11.53), low experience (M=1.67), and low acceptability (M=1.41) of online uncivil behaviors. Academic cyberincivility knowledge, experiences, and acceptability did not significantly vary (p&gt;0.05) based on sex, year level, and duration of daily internet usage. There was a significant positive moderate correlation (r=.402, p=.000) between cyberincivility experience and acceptability. Conclusions: Nursing schools should continuously strive to avoid the risk of uncivil cyberspace behaviors and promote an online culture of civility in online learning spaces.

Circumstances of Internet Addiction and Its Influencing Factors among Adolescents in the Second Years of the Covid-19 Pandemic

Background: Internet use by adolescents has increased rapidly in recent decades. This has been particularly evident during the Covid-19 pandemic due to the shift from face-to-face to online learning. Internet use has become convenient and commonplace. However, negative use can cause internet addiction, which interferes with brain or mental function in everyday life. Purpose: The aim of this survey is to analyze the prevalence of internet addiction and the factors that affect it. Methods: This cross-sectional analytical survey was conducted online with adolescents living in the city of Medan, North Sumatra, from August to November 2021. The demographic data came from a self-reported structured questionnaire, and internet addiction was assessed using the Internet Addiction Diagnostic Questionnaire (KDAI) in Indonesian. The data were processed with descriptive statistics and presented in the form of frequency distribution. Factors affecting the occurrence of internet addiction were analyzed using nonparametric tests. Results: Among the 110 adolescent respondents, the prevalence of internet addiction was 40.0%. The majority of those experiencing internet addiction had a high-school education (56.8%) and were girls (52.3%), firstborn (41.0%), and aged 17–19 (40.9%). The total daily and weekend internet use levels were medium (81.8% and 61.4%, respectively). Total daily internet use time was a statistically meaningful factor affecting the occurrence of internet addiction in adolescents (p = 0.014). Conclusion: The prevalence of internet addiction in adolescents is quite high, and total daily internet use was a factor affecting it.

Physical Activity Levels and Online Vigilance Status among Vocational School of Health Services Students

Aim: This research was planned to determine the physical activity levels and online vigilance status of vocational school of health services students. &#x0D; Method: Four hundred thirteen students were contacted online and using face-to-face interviews in this descriptive study. &#x0D; Results: The mean age of the participating students was 20.44±2.76 years, the majority being aged 20-22. Analysis showed that 27.4% checked their phones 10-20 times a day, that 35.8% went online to search for information, and that 69.7% stated that they used online communication for social media applications. In terms of daily internet use, 65.9% of students spent 1-4 h a day online, while 64.9% spent less than 1 h a day on social media. The mean physical activity score of the participating students was 2482.69±3601.88, and their online vigilance score was 31.82±11.51.&#x0D; Conclusions: The university students in the research exhibited a moderate level of online vigilance and were insufficiently physically active.