In the quiet moments between meetings, on the bus ride home, or just before bedtime, many of us instinctively reach for our phones. What starts as a quick scroll through headlines or social feeds often spirals into hours of unintentional browsing. This growing pattern reflects a modern struggle: internet addiction....

Many have argued that digital technologies such as smartphones and social media are addictive. We develop an economic model of digital addiction and estimate it using a randomized experiment. Temporary incentives to reduce social media use have persistent effects, suggesting social media are habit forming. Allowing people to set limits on their future screen time substantially reduces use, suggesting self-control problems. Additional evidence suggests people are inattentive to habit formation and partially unaware of self-control problems. Looking at these facts through the lens of our model suggests that self-control problems cause 31 percent of social media use.

Overall, 40 percent of U.S. online users aged 18 to 22 years reported feeling addicted to social media. During the April 2019 survey, five percent of respondents from that age group stated that they felt the statement "I am addicted to social media" described them completely.

Introduction

Technology Addiction Statistics: Technology addiction, also known as digital addiction or internet addiction, refers to the compulsive use of technology that interferes with daily life. From the dawn of humankind to now, unprecedented strides have been taken that have made our lives more effective and convenient. However, like the two sides of the coin, there have been downsides to this progress.

For instance, it has also led to individuals becoming over-reliant on technology, leading to drastic consequences. In this article, we will go through technology addiction statistics and have a comprehensive understanding.

Younger generations in Russia were more addicted to electronic devices and the internet, according to a survey conducted in May and June 2024. Almost six out of ten respondents younger than 34 years admitted to having a digital addiction. To compare, about 40 percent of adults of over 45 years of age had noticed signs of being addicted to gadgets and the internet.

According to a 2023 survey conducted in the United Kingdom, 48 percent of social media users aged between 16 and 18 years reported feeling addicted to social media. Feelings of addiction were higher amongst female teens than male teens, with 57 percent of girls in the UK saying they thought they were addicted to online platforms. In general, social media can be difficult for teens to navigate, partly due to pressure to create the perfect image or partake in online challenges.

BackgroundInternet addiction has emerged as a major global concern as a potential adverse impact of internet exposure on adolescents. Internet addiction is associated with many demographic variables; however, there is a lack of consensus on its relationship with health literacy. Therefore, the aim of the present study was to assess the rates of internet addiction and health literacy level among middle school students (grades 7 to 12) in Chongqing, China, as well as to investigate the association between them.MethodsA cross-sectional, questionnaire-based study was conducted among 8971 students who were randomly selected by using stratified cluster sampling between November and December 2019. The Internet Addiction Diagnostic Questionnaire, Adolescent Health Literacy Scale and a self-designed basic information questionnaire were used to collect data. Chi-square tests were performed to compare the differences in the distribution of internet addiction across health literacy levels as well as some sociodemographic characteristics. Multivariate logistic regression analyses were conducted to identify the association between health literacy and internet addiction.ResultsThe prevalence of internet addiction among middle school students in Chongqing was 6.1%. The percentage of the students who spent more than 4 hours online every day in the past week was 14.3%. In addition, 26.7%, 26.0%, 28.3% and 26.3% of the participants reported low functional, interactive, critical and total health literacy, respectively. After adjusting for the confounding effects of demographics, multivariate regression analysis showed that critical health literacy was a protective variable for internet addiction, while functional, and interactive health literacy were the risk variable (P

According to respondents in Poland in 2019, ** percent of average internet users know more than one person met on the Internet. However, ** percent of them don't know any people from the Internet. When it comes to users threatened with Internet addiction, ** percent of them know more than one person met on the Internet.

Background: Facebook addiction is said to occur when an individual spends an excessive amount of time on Facebook, disrupting one’s daily activities and social life. The present study aimed to find out the level of Facebook addiction in the Nepalese context and briefly discuss the crimes associated with its unintended use. Methods: A descriptive cross-sectional study was conducted in the Department of Forensic Medicine of Lumbini Medical College. The study instrument was the Bergen Facebook Addiction Scale typed into a Google Form and sent randomly to Facebook contacts of the authors. The responses were downloaded in a Microsoft Excel spreadsheet and analyzed using Statistical Package for Social Sciences version 16. Results: The study consisted of 103 Nepalese participants, of which 54 (52.42%) were males and 49 females (47.58%). There were 11 participants (10.68%) who had more than one Facebook account. When different approaches were applied it was observed that 8.73% (n=9) to 39.80% (...

In a survey conducted on online media addiction among children age between **** to ** in India as of September 2023, the majority of parents stated that their children were addicted to more than one online media platform such as videos, social media, online gaming, or OTT. By contrast, ***** percent of urban parents reported their kids were not addicted to any online media forms.

Technology’s pull often feels impossible to resist. More than half of Americans report an almost daily reliance on smartphones, the internet, and social media, affecting everything from sleep to relationships. From health care settings where digital detox programs help patients reclaim balance, to corporate wellness initiatives that curb online burnout,...

With the increasing popularity of Internet devices, the rate of Internet addiction, particularly among adolescents, is rising dramatically. IA causes adolescents to short-sightedness, resulting in a dramatic increase in delayed discounting. However, the effects and potential mechanisms of IA on adolescent delay discounting remain largely unknown. To our knowledge, this is the first study to examine the relationship between IA and delay discounting in Chinese adolescents. The sample comprised 2245 adolescents (49.70% male; M(SD)age = 14.86(2.18) years) completed questionnaires anonymously regarding IA, delayed discounting, time perception, and future self-continuity (FSC). The results indicated that: (a) IA showed a positive association with adolescent delay discounting. (b) time perception mediated the association between IA and delay discounting, and the mediating effect was smaller for older adolescents compared to younger adolescents. (c) FSC only moderates the relationship between IA and delay discounting in older adolescents. Specifically, the relationship between IA and delay discounting was weaker in older adolescents with higher levels of FSC. These findings show that IA distorts adolescents' perceptions of future time, which affects delay discounting. We need to use more targeted intervention strategies to prevent and mitigate the effects of IA on delay discounting in adolescents of various ages.

This statistic provides information on the share of Polish internet users, broken down by age group, who are afraid of missing something such as an event, news, or important status updates if they do not keep an eye on their social networks. During a survey in 2022, it was found that nearly every*****d of internet users from the youngest group of respondents suffered from high FOMO*.

According to respondents in Poland in 2019, ** percent of average internet users don't have a close friend, known only from the Internet. However, when it comes to users threatened with Internet addiction, over ** percent of them have close friends from the Internet.

Individuals with Internet gaming disorder (IGD) tend to exhibit disadvantageous risky decision-making not only in their real life but also in laboratory tasks. Decision-making is a complex multifaceted function and different cognitive processes are involved in decision-making for gains and losses. However, the relationship between impaired decision-making and gain versus loss processing in the context of IGD is poorly understood. The main aim of the present study was to separately evaluate decision-making for risky gains and losses among college students with IGD using the Cups task. Additionally, we further examined the effects of outcome magnitude and probability level on decision-making related to risky gains and losses respectively. Sixty college students with IGD and 42 matched healthy controls (HCs) participated. Results indicated that IGD subjects exhibited generally greater risk taking tendencies than HCs. In comparison to HCs, IGD subjects made more disadvantageous risky choices in the loss domain (but not in the gain domain). Follow-up analyses indicated that the impairment was associated to insensitivity to changes in outcome magnitude and probability level for risky losses among IGD subjects. In addition, higher Internet addiction severity scores were associated with percentage of disadvantageous risky options in the loss domain. These findings emphasize the effect of insensitivity to losses on disadvantageous decisions under risk in the context of IGD, which has implications for future intervention studies.

Multivariate analysis of the relationships between internet addiction and gender, tobacco smoking, ISI, RSES, DASS A, DASS S, and DASS D scores (N = 600).

Discover the booming online opioid addiction treatment market. This comprehensive analysis reveals key growth drivers, market size projections, major players, and emerging trends from 2019-2033, highlighting opportunities and challenges in this rapidly expanding sector of telehealth.

According to respondents in Poland in 2019, ** percent of average internet users and **** percent of threatened with Internet addiction use the internet every day or almost every day to search for information needed for work or study.

According to respondents in Poland in 2019, two percent of average internet users and ** percent of threatened with Internet addiction use the internet every day or almost every day to make entries on forums, discussion groups, social networking sites.

This dataset was originally collected for a data science and machine learning project that aimed at investigating the potential correlation between the amount of time an individual spends on social media and the impact it has on their mental health.

The project involves conducting a survey to collect data, organizing the data, and using machine learning techniques to create a predictive model that can determine whether a person should seek professional help based on their answers to the survey questions.

This project was completed as part of a Statistics course at a university, and the team is currently in the process of writing a report and completing a paper that summarizes and discusses the findings in relation to other research on the topic.

The following is the Google Colab link to the project, done on Jupyter Notebook -

https://colab.research.google.com/drive/1p7P6lL1QUw1TtyUD1odNR4M6TVJK7IYN

The following is the GitHub Repository of the project -

https://github.com/daerkns/social-media-and-mental-health

Libraries used for the Project -

Pandas
Numpy
Matplotlib
Seaborn
Sci-kit Learn