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Petrunkо, Оlgа, and Kateryna Teleshun. "INTERNET ADDICTION OF ADULTS USERS AND POSSIBILITIES OF ITS PREVENTION." "Scientific notes of the University"KROK", no. 4 (December 30, 2022): 91–99. http://dx.doi.org/10.31732/2663-2209-2022-68-91-99.
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The authors of the article analyzed the essence of Internet addiction as a modern socio-psychological phenomenon, which was formed with the emergence of a new moderator of social relations - the Internet. Internet addiction is qualified as a multi-vector socio-psychological phenomenon and a factor that: 1) affects the consciousness, emotional state, physical health and behavior of people of different ages; 2) is a type of non-chemical addiction, which is equally dangerous for the physical and mental health of not only children and youth, but also adults; 3) is a consequence of incompetent use of the Internet and therefore, like any other addiction, requires special correction. Views on the emergence and spread of non-chemical addictions among adult Internet users are analyzed in the works of foreign and domestic scientists. An analysis of interpretations of behavioral types of addiction is given, as well as the main approaches and criteria for their classification. The subtypes of cyber addictions are specified, in particular: addictive Internet surfing (web surfing), phabbing, virtual dating, cybersex (cybersexual addiction), addiction to online gambling (cybernetic ludomania, online ludomania), obsessive need to stay on the Internet (Internet addiction, Internet addiction), gadget addiction, audio or video addiction, television addiction, online gambling, pathological online reading, cyberneomania, selfitis (or selfism). Attention is focused on the fact that addiction (dependency) is an obsessive, unnatural need of a person for something that subjectively has physiological, psychological and psychosocial significance for him (the need for certain mood stimulants, certain unnatural thoughts, emotions and experiences, in certain unnatural actions, etc.). It is shown that Internet addiction is a type of non-chemical psychological addiction, and therefore it is primarily a self-destructive phenomenon of the psyche, which consists in a violation of emotional and volitional regulation. Like any other addiction, addiction to the Internet has a destructive effect on the personality, causes emotional and nervous overload, leads to astheno-neurotic and psycho-emotional disorders and even somatic diseases, disrupts the interpersonal and social communications of addicts. The program and methods of prevention of Internet addiction in adults are outlined. Primary, secondary and tertiary prevention of addictive behavior is considered in detail; special emphasis is placed on the preventive and corrective work of the psychotherapist with persons prone to addiction.
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Zaika, Vitalii, and Roman Sharavara. "THE INFLUENCE OF DISHARMONOUS CHILD-PARENT RELATIONSHIPS ON THE EMERGENCE OF ADDICTIVE TENDENCIES IN ADOLESCENT AGE AS A SOCIAL PROBLEM." Scientific Bulletin of Uzhhorod University. Series: «Pedagogy. Social Work», no. 1(52) (June 1, 2023): 50–54. http://dx.doi.org/10.24144/2524-0609.2023.52.50-54.
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The article highlights the current issue of peculiarities of emergence of addictive tendencies in adolescence based on child-parent relations in the family. On the basis of psychodiagnostic methods, it was found that various forms of inadequate upbringing in the family (high demandingness of parents, high strictness of parents, high control in relation to the child, emotional distance of parents, denial of the child by parents, lack of cooperation between parents and child, disagreement between the child and by parents, parental inconsistency, parental authority) lead to a predisposition to certain types of addictions, which differ between high school and college students. These types of addictions include: alcohol addiction, Internet and computer addiction, love addiction, drug addiction, game addiction, nicotine addiction, food addiction, intersex addiction, workaholism, television addiction, religious addiction, addiction to a healthy life, drug addiction dependence. Among all types of addictions, according to the results of the study, school students are more prone to the following addictions: smoking (80%), gaming addiction (80%), food addiction (80%) and love addiction (76%). At the average level, they show a tendency to: addiction to alcohol, addiction to intersex relationships, drug addiction, addiction to the computer (Internet, social networks), addiction to a healthy lifestyle). Adolescent college students have among the prevailing tendencies towards addictions: addiction to the computer (Internet, social networks) (88%), addiction to intersex relationships (88%), addiction to a healthy lifestyle (80%). At the average level, students show tendencies towards the following addictions: alcohol addiction, gaming addiction, smoking addiction, food addiction, love addiction, drug addiction. Both schoolchildren and college students have a low level of addiction to the following types: religious addiction, television addiction, work addiction.
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Đukanović, Borislav, Irena Petrušić, Gorana Bandalović, Ana Maksimović, and Silva Banović. "Internet Sex Addiction in Serbia and Montenegro." IPSI Transactions on Internet Research 18, no. 02 (July 1, 2022): 52–63. http://dx.doi.org/10.58245/ipsi.tir.2201.07.
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In this study, the authors analyzed the problematic use of pornographic websites and Internet sex addiction in representative samples of respondents from different age groups including 2948 respondents from Serbia and 1486 from Montenegro. A standard questionnaire of 33 questions with answers in binary form was used. In addition to epidemiological indicators, the study also included nine family risk factors and six risk factors associated with early psychosocial developmental disorders. Finally, the social profiles of Internet sex addicts in Serbia and Montenegro were described. The results of the research showed that Internet sex addicts are mostly young adults aged 20 to 30. The overall dependency rate was estimated within average limits. In general, Internet sex addiction is among the lowest of all behavioral addictions. The authors see the reason for this in the greatest potency of this addiction for the development of addictive patterns of behavior, but also in the great predictiveness of this addiction together with the gambling addiction for the emergence and development of other behavioral addictions. All examined risk factors (except for shyness and reticence) do "separate" Internet sex addicts from those who do not have the listed risk factors at zero level of significance. However, an examination of the prediction of Internet sex addiction using binary logistic regression showed that aggressive and criminal behaviors in early youth, followed by disorders in educational and emotional relations between parents and children, have the highest predictive values for Internet sex addiction. Social profiles are unclear and unstructured, and the authors explain this by the fact that biological, not sociological, and sociocultural factors play a dominant role in developing addictive patterns of behavior.
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Abilash, K., M. Keerthika, and S. Bharathi. "A Study on Prevalence of Behavioural Addictions among College Students." Shanlax International Journal of Arts, Science and Humanities 6, no. 4 (April 2, 2019): 27–33. http://dx.doi.org/10.34293/sijash.v6i4.350.
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Background: Behavioural addictions is associated with an uncontrollable urge, loss of control, preoccupation with use and despite consequences. Aim: To study the prevalence of behavioural addictions among college students. Methods& Materials: 300 students are served as participants within the age group of 17 to 19 years. Behavioural addiction questionnaire is administered on 300 college students. Results: The pattern of behavioural addiction screening among college students revealed that the presence of high percentage of addictive use for Cell phone (28.6%), Shopping (22.4%), Internet (20.4%) and television (20.6%). There is significant difference between the behavioural addictions and dimensions of behavioural addictions (Craving, loss of control, compulsion and impact on others). Conclusion: There is a significant relationship between Eating Addiction and compulsion, Shopping addiction with dimensions of compulsion and impact on others, Sexual addiction with craving and loss of control, cell phone addiction and dimensions of craving, loss of control and impact on others, television addiction with craving, loss of control and impact on others, internet addiction with craving and impact on others.
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Thakur, Aditya, Kunal Peepre, Anshi Vaswani, Khyati Gupta, Aman Verma, Dhananjay Singh, and Pradeep Kasar. "Internet addiction, behavioural aspects, and health related problems associated with it: a cross sectional study among engineering students of Jabalpur district." International Journal of Research in Medical Sciences 6, no. 1 (December 23, 2017): 253. http://dx.doi.org/10.18203/2320-6012.ijrms20175729.
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Background: With the rise of new generation gadgets, the risk of “internet addiction” is emerging as a significant behavioral addiction pandemic to be tackled worldwide. Internet addiction can be defined as an impulse disorder. Objective of the study was to determines the level of Internet addiction in Students. To identify the behavioural and any health-related problems associated with internet addiction among students.Methods: This study was a cross sectional study carried out in 7 different engineering colleges of Jabalpur city during the period of 1st July 2016 to 30th September 2016.Results: In present study the prevalence of internet addiction was found to be 74 %. 26 % of the participants were found with no internet addictions whereas 55 % and 17.67 % of the participants were found to be mild and moderate addicted whereas only 1.33 % of the participants were severely addicted to internet addiction. Participant who has internet addiction has 84.8 % of yelling and annoying behavior while 86.5 % participants with internet addiction have secretive and defensive behavior. Association was found to be highly significant (p = <0.001). Ill effects like problem related to eye have significant effect on the participants with internet addiction i.e. 66.17 %. Association of problem related to eye problems with internet addiction was significant with the p = 0.02.Conclusions: The problem is alarming and progressing to an addictive state in the near future Interventions like setting boundaries and detecting early warning signs of underlying psychopathology at the earliest are required
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Çetin, Ebru, Emrah Emiral, Nergis Cantürk, and Rukiye Dağalp. "Alcohol Scale, Internet Addiction Scale, E-Victim Scale and E-Bullying Scale in Cigarette Addicted University Students." Technium Social Sciences Journal 23 (September 9, 2021): 456–66. http://dx.doi.org/10.47577/tssj.v23i1.4325.
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The present study aims to determine the relevant variables for the scores obtained from alcohol addiction, internet addiction, e-bullying, and e-victimization scales of smoking-addictive university students and to investigate the possible correlations between the scales. The study group consists of 300 students who declared that they smoked at least one cigarette every day for the last 6 months. The data were collected with a face-to-face interview method. The form used in the study consisted of items belonging to alcohol addiction, Internet addiction, e-bully, and e-victimization scales. According to the Alcohol Scale, 61.3% of the participants were in the non-addictive group, and 63.3% were in the risk group according to the Internet addiction scale. 2.7% of the participants were e-bullies and 2.3% were e-victims. There was no correlation between the Alcohol Addiction and the Internet Addiction scores of the participants (p>0.05), while a weak positive correlation was detected between the e-bullying and e-victimization scores (for each; p <0.05). A positively weak correlation was found between the Internet Addiction score and e-bullying and e-victimization scores (p <0.05 for each). Our results suggested that students with any type of addiction have a higher risk for other types of addictions (substance-behavioral) as well.
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Pallanti, Stefano, Silvia Bernardi, and Leonardo Quercioli. "The Shorter PROMIS Questionnaire and the Internet Addiction Scale in the Assessment of Multiple Addictions in a High-School Population: Prevalence and Related Disability." CNS Spectrums 11, no. 12 (December 2006): 966–74. http://dx.doi.org/10.1017/s1092852900015157.
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ABSTRACTObjectiveTaking into account the importance of act prevention on the development of addictions, we assessed the presence of multiple addictions in an adolescent high-school population, also assessing the prevalence of Internet abuse and the impact on disability.IntroductionAdolescence seems to be a critical period of addiction vulnerability, based on social but also neurobiological factors.The earlier onset of behavioral/substance dependence seems to predict greater addiction severity, morbidity, and multiple addictive disorders.MethodsData were collected from a sample of 275 students in Florence, Italy, high schools through surveys distributed in classes. The sample had an average age of 16.67±1.85 years (52.4% males, 47.6% females). To assess multiple addiction we used the 16 subscales of the Shorter PROMIS Questionnaire, to assess Internet addiction prevalence we used the Internet Addiction Scale, and to quantify disability symptoms, we used the Sheehan Disability Scale.ResultsCaffeine abuse, sex, relationship submissive, gambling, food starving, and food bingeing have raised highest scores. 5.4% of the students were found to be Internet addicted similar to other countries. Disability seemed strongly correlated to the subscale of alcohol, gambling, sex, tobacco, food starving and food bingeing, shopping, exercise, and Internet addiction. Gambling, sex, caffeine abuse, compulsive help dominant, work, Internet addiction, relationship dominant, and relationship submissive in this sample were strongly related to substance dependence.ConclusionLevel of concerns unexpected compared to the level reported in other countries for the behavioral compulsions, have been highlighted. Behavioral addictions are multiple, a source of disability, and they are related to substance abuse. It has yet to be clarified if they are a temporary phenomenon occurring in adolescents or if they are a stable trait, accounting as marker for the development of substance abuse.
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Fariña, Francisca, Juan Romero, Manuel Isorna, and Ramón Arce. "Profiling and Prevalence of Substance-Related and Addictive Disorders and Behavioural Addictions in Incarcerated Traffic Offenders." Sustainability 15, no. 12 (June 19, 2023): 9771. http://dx.doi.org/10.3390/su15129771.
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A field study was designed to determine if traffic offenders were characterised by substance-related and addictive disorders and behavioural addictions, and to examine their prevalence in this population. A total of 268 regular drivers (weekly or daily use) participated in the study; 132 incarcerated traffic offenders and 136 drivers with no criminal background. Subsamples were matched in age, sex, and time elapsed since their driving test. Participants responded to a measure of impulse control and addictions. The results revealed a more-than-problematic effect regarding drug addiction, alcohol consumption, and compulsive purchasing in the population of traffic offenders. In contrast, a trivial effect (insignificant) was observed in addiction to gambling, internet, videogames, eating, and sex. Comparatively, traffic offenders reported higher addiction to drugs, alcohol, gambling, compulsive purchasing, and sex, but less addiction to internet than controls. As for caseness analysis, a significant prevalence of caseness (>0.05) was observed in traffic offenders in connection to drugs, alcohol, internet, compulsive purchasing, and eating addictions. Moreover, addiction comorbidity or multi-comorbidity was found to be common (=0.50). The implications of the results for interventions with traffic offenders are discussed.
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Пасічник, Леся. "Psychological peqularities of behaviour of a person with various addictions." Psychological Prospects Journal, no. 43 (June 24, 2024): 143–60. http://dx.doi.org/10.29038/2227-1376-2024-43-pas.
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The purpose of the article is to carry out a theoretical analysis of scientific sources on the study of psychological characteristics of behaviour of a person with various addictions. Methods. The article uses the methods of theoretical study of scientific literature: analysis, synthesis, abstraction, and generalisation. Results. A review of the theoretical and empirical basis of research on the psychological characteristics of addictive behaviour of individuals suggests that the problem of addictions is relevant, widely represented and studied by scientists in various aspects. There is an increase and thoroughness of scientific research on non-chemical (behavioural) addictions. Among Ukrainian researchers, the predominant topics are the study of psychological features of the formation of addictive behaviour in modern youth, the influence of the family on the formation of addictive behaviour, urge addiction and workaholism, psychological features of food addiction, Internet addiction, etc. Conclusions. The family system is the basis for the development of individual psychological factors of predisposition to addictive behaviour (attachment styles, the level of manifestation of character accentuations, resistance to emotional stress, etc.) Dependence on psychoactive substances is considered a complex and chronic condition. Due to the legalisation of cannabis products in a number of countries, its availability is increasing. Accessibility is one of the negative factors in the development of chemical dependence. The distinction between non-problematic behaviour and behavioural addiction (workaholism, overeating, internet addiction, gambling, etc.) in everyday life is very vague, and negative consequences for a person's health and well-being can be an evidence of addiction. Signs of established addiction (chemical and non-chemical) are: impaired control over behaviour, prioritisation, continuation and escalation of behaviour despite negative consequences. Until recently, the tools for empirical research on addictive behaviour were mainly developed and improved for the study of substance dependence and were used to study all types of addictions, including behavioural ones. At the present level, there are two trends: the use of existing tools for the study of addictions; development and implementation of new methods for chemical (substance dependence) and non-chemical (behavioural) addictions.
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Pujitha, Battula, Saka Meghana, Kota Suresh Kumar, and Sri Ramya Ivaturi. "A Comparative study on Internet Addiction among Medical students and Engineering students." TELANGANA JOURNAL OF IMA 02, no. 02 (2022): 29–24. http://dx.doi.org/10.52314/tjima.2022.v2i2.81.
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Background: Internet addiction generally refers to an individual’s incapability to control the use of the internet including any online-affiliated compulsive behaviour, which ultimately causes marked distress and functional impairment in daily life. The word “addiction” has usually been associated with substance but severe dependence and addictive patterns have led to the surfacing of the new word “Internet Addiction”. Internet addiction is a unique and attractive subject considered as a behaviour-based addiction in recent years. Objectives: To study and compare internet addiction among medical and engineering students. Methods: Cross-sectional study was conducted among students from local medical and engineering colleges, using the Youngs Internet Addiction Test, a reliable and valid measure of addictive use of the Internet, consisting of twenty items that measure the magnitude of Internet Addiction. Results: Among 514 medical students, 25% were normal, 48% had mild addiction, 23% has moderate addiction and 4% were severely addicted to non-academic purpose usage of the internet. Among 623 engineering students, 20% were normal, 53% had mild addiction, 22% had moderate addiction, and 5% were severely addicted. In our present study, engineering students showed more internet addiction than medical students. Conclusion: Poor academic activity, poor integration in extracurricular activities, and other problems due to excessive Internet use, require strategies to be developed and implemented to treat pathological Internet usage.
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Petruzelka, Benjamin, Jaroslav Vacek, Beata Gavurova, Matus Kubak, Roman Gabrhelik, Vladimir Rogalewicz, and Miroslav Bartak. "Interaction of Socioeconomic Status with Risky Internet Use, Gambling and Substance Use in Adolescents from a Structurally Disadvantaged Region in Central Europe." International Journal of Environmental Research and Public Health 17, no. 13 (July 3, 2020): 4803. http://dx.doi.org/10.3390/ijerph17134803.
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Background and aims: The current level of knowledge concerning the effect of socioeconomic status (SES) on internet use, gambling, and substance use in structurally disadvantaged regions is scarce. The objective of this study was an investigation of the relationship between SES and risky internet use, gambling and substance use in a structurally disadvantaged region in Central Europe. Methods: A cross-sectional survey was conducted among high school students (n = 1063) in a Czech structurally disadvantaged region in autumn 2017. Binary Logistic Regression models were applied to data from the modified Excessive Internet Use scale (mEIUS), a standard tool for measuring the risk of addictive behavior on the internet and the risk of excessive gaming. Other data were collected using the Lie/Bet (problematic gambling), CAGE (acronym of the key words: cut, angry, guilty and eye-opener), and the Cannabis Abuse Screening Test (CAST) (problematic alcohol/cannabis use) tools. Results: There were statistically significant differences between at-risk and not-at-risk groups in addictive behavior on the internet and gaming, while none were found in problematic gambling. Individual dimensions of SES showed significant effects on substance use. Regarding parenting styles, significant differences were found only in the risk of addictive behavior on the internet or gaming between the authoritarian and authoritative styles. Being engaged in behavioral addictions with one´s parents increased the odds of the behavioral addiction risk and decreased the odds of the substance addiction risk. Engagement with one´s parents in substance addictions decreased the odds of the behavioral addiction risk and increased the odds of the substance addiction risk. Discussion and Conclusions: The results point at specific relations between SES and the risk of addictive behaviors on the internet and gaming within structurally disadvantaged regions. The results of SES and/or structurally disadvantaged region measures obtained in research, policy-making, and care-provision may improve the focus of actions taken.
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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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Lopez-Fernandez, Olatz, Lucia Romo, Laurence Kern, Amélie Rousseau, Pierluigi Graziani, Lucien Rochat, Sophia Achab, et al. "Perceptions Underlying Addictive Technology Use Patterns: Insights for Cognitive-Behavioural Therapy." International Journal of Environmental Research and Public Health 19, no. 1 (January 4, 2022): 544. http://dx.doi.org/10.3390/ijerph19010544.
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Cognitive-Behavioural Therapy (CBT) is considered the ‘gold standard’ in the treatment of addictive disorders related to excessive technology use. However, the cognitive components of problematic internet use are not yet well-known. The aim of the present study was to explore the cognitive components, that according to problematic users, can lead to potential internet addiction. A total of 854 European adults completed an online survey using a mixed-methods design. Internet problems and attachment styles were assessed, prevalence rates estimated, correlations, chi-squared automatic interaction detection, and content analysis were performed. Self-reported addictions to social networking, internet, and gaming had a prevalence between 1.2% (gaming) to 2.7% (social networking). Self-perception of the addiction problem and preoccupied attachment style were discriminative factors for internet addiction. In an analysis of qualitative responses from self-identified compulsive internet users, a sense of not belonging and feeling of disconnection during life events were perceived as causes for internet addiction. The development depended on a cycle of mixed feelings associated with negative thoughts, compensated by a positive online identity. The severity of this behaviour pattern produced significant impairment in various areas of the participants’ functioning, suggesting a possible addiction problem. It is suggested that health professionals administering CBT should target unhealthy preoccupations and monitor mixed feelings and thoughts related to internet use to support coping with cognitive distortions.
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Jorgenson, Alicia Grattan, Ray Chih-Jui Hsiao, and Cheng-Fang Yen. "Internet Addiction and Other Behavioral Addictions." Child and Adolescent Psychiatric Clinics of North America 25, no. 3 (July 2016): 509–20. http://dx.doi.org/10.1016/j.chc.2016.03.004.
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Wang, Fuzhou. "Comparison of Neural Circuitry Mechanisms between Internet Game Addiction and Heroin Addiction." Science Insights 42, no. 3 (March 29, 2023): 857–66. http://dx.doi.org/10.15354/si.23.re249.
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Internet game addiction and heroin addiction have many similar clinical manifestations, but whether they share similar neural mechanisms is yet clearly known. Based on MRI data, it was found that the two types of addictions have some damages in the same brain structure and function, and the four addiction-related circuits as cognitive control loop, reward prediction and pleasure loop, motivation drive and salience attribution loop, and learning and memory loop showed widespread and enhanced activation. However, the brain damage area of heroin addiction is biased towards the higher cognitive control circuit and reward circuit, and the scope of damage is wider showing the functional connectivity of the four circuits is reduced, while the brain damage of internet game addiction mainly occurs in relatively low-level memory-learning circuits and motivation circuits, and the scope of damage is also relatively narrow by indicating decreased functional connectivity only occurs between cognitive control and memory-learning circuits. This indicates that the neural mechanisms underlying the two types of addictive behaviors have both similarities and differences. This review compares above-mentioned four circuitry mechanisms between internet game addiction and heroin addiction to highlight the underlying neural similarities between them and provide insights into potential interventional strategies.
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Pejovic-Milovancevic, Milica, Smiljka Popovic-Deusic, Saveta Draganic-Gajic, and Dusica Lecic-Tosevski. "Internet addiction: A case report." Srpski arhiv za celokupno lekarstvo 137, no. 1-2 (2009): 86–90. http://dx.doi.org/10.2298/sarh0902086p.
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Some addictions cannot be connected with substance abuse (pathological) gambling, video games playing, binge eating, compulsive physical activity, emotional relationship addiction, TV addiction). Since 1995, Internet addiction has been accepted as a clinical entity with profound negative effect on social, familial, educational and economical personal functioning. The diagnosis of Internet addiction could be established if the person spends more than 38 hours per week on the Internet exempting online professional needs. Basic symptoms are the increased number of hours spent in front of the computer along with the Internet use, development of abstinent syndrome if the Internet access is prohibited, sleep inversion, neglect of basic social requirements and personal hygiene, many somatic symptoms developed due to prolonged sitting or monitor watching, dissocial behavior. In this paper, data about the Internet addiction are presented and a case report of an adolescent with developed Internet addiction.
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Carlisle, Kristy L., Robert M. Carlisle, Gina B. Polychronopoulos, Emily Goodman-Scott, and Andrea Kirk-Jenkins. "Exploring Internet Addiction as a Process Addiction." Journal of Mental Health Counseling 38, no. 2 (April 1, 2016): 170–82. http://dx.doi.org/10.17744/mehc.38.2.07.
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Internet addiction is an emerging global problem with inconsistent nomenclature, diagnostic criteria, and assessment tools. This review explores the complex and conflicting reports of Internet addiction in the literature in an effort to pinpoint the status of this phenomenon. We cite literature related to process additions in order to provide a framework for Internet addiction's potential place amongst diagnosable disorders in the Diagnostic and Statistical Manual (DSM-5). Clinical implications of working with people with Internet addiction are emphasized, as is the need for future research.
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Cybulska, A. M., K. Rachubińska, D. Schneider-Matyka, S. Grochans, and E. Grochans. "Analysis of the relationship between personality traits and Internet addiction." European Psychiatry 66, S1 (March 2023): S139—S140. http://dx.doi.org/10.1192/j.eurpsy.2023.350.
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IntroductionBehavioral addictions are a growing problem in the society. Digital technologies are used by people of different ages, and their number is increasing every year. The precise reasons for the development of addictions remain unknown. In the case of behavioral addictions, especially Internet addiction, the significance of personality traits and behaviors predisposing an individual to addiction, such as depressiveness, anxiety, hostile attitude, aggression, impulsiveness, psychotic behaviors, shyness and self-esteem disorders, are emphasized. Personality predispositions play an essential role in Internet addiction.ObjectivesThe aim of this study was a general assessment of the level of Internet addiction with regard to personality traits according to the Big Five model by Costa and McCrae among women from the West Pomeranian Voivodeship.MethodsThe study involved 556 women, whose average age was 34 years and who met the inclusion criteria: female sex, age of 18 years or above, place of residence in the West Pomeranian Voivodship, an informed consent for participation in the study, and completion of the set of questionnaires. The study was conducted using a diagnostic poll method with a questionnaire technique. To carry out the analysis both author’s own and standardized tools were used: the author’s questionnaire covering socio-demographic data, the NEO-Five Factor Inventory which assesses the levels of personality traits, and the Internet Addiction Test used to measure behaviors and characteristics related to compulsive use of the Internet.ResultsMost (70.9%) of the women were average users of the Internet, 25% of respondents were at risk of addiction, and the least numerous group of women (4.1%) was addicted to the Internet. Conscientiousness negatively correlated with Internet addiction (r = -0.22; p < 0.001; R2 = 4.9%). Openness to experience was conducive to Internet addiction (r = 0.15; p < 0.001; R2 = 11.1%). A positive link between neuroticism and Internet addictions was established (r = 0.33; p < 0.001; R2 = 11.1%). No significant relationships between Internet addiction and extraversion (r = 0.03; p = 0.45) as well as agreeableness (r = -0.07; p = 0.10) were demonstrated.ConclusionsThe type of personality of the studied women implicated relationships to Internet addiction. Neuroticism might be a personality trait that particularly predisposes to an increased risk of Internet addiction. Openness to experience was conducive to Internet Addiction. Low levels of conscientiousness more often become addicted to the Internet.Disclosure of InterestNone Declared
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RODINA, Yuliia, and Pavlo CHEKHOVICH. "CHARACTERISTICS OF THE MANIFESTATION OF INTERNET ADDICTION IN THE INTERPERSONAL INTERACTION OF HIGHER EDUCATION STUDENTS." Dnipro Academy of Continuing Education Herald. Series: Philosophy, Pedagogy, Vol. 2 No. 2 (2023) (December 29, 2023): 36–39. http://dx.doi.org/10.54891/2786-7013-2023-2-8.
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The article considers student age as a special period of an individual's life. Student age is a sensitive period for the development of the main sociogenic potentials of a person. Studying in a higher educational institution develops individuality and gives an opportunity to influence the psyche. The authors see the definition of all kinds of violations for timely intervention and help as an important task. The article highlights Internet addiction as a psychological phenomenon, which consists in the fact that a person has an obsessive desire to constantly be on the World Wide Web.The authors identified as the factors of the emergence of Internet addiction in the student age the peculiarities of communication, which explain the emergence of Internet addictions. The authors analyzed the presence of Internet addiction in students of higher education - second-year students of the Dnipropetrovsk National University named after Oles Honchar as a pilot empirical study by developing a program and research methods, conducting empirical research and its processing.A small percentage (10%) of respondents with Internet addiction was obtained, while further work was to determine the reasons. Diagnostics of propensity to various addictions on fourteen scales showed that according to the scale of general propensity to addiction, most respondents have an average and high level of the studied addiction, and only less than 25 percent have a low level. The authors investigated the absence of addiction according to the scales (at least 80 percent of respondents have a low level): food, sexual, television and alcohol addiction; (more than 90 percent of respondents have a low level): drug addiction, drug addiction, religious addiction, work addiction. About 60% of respondents had high and medium levels of game addiction, computer addiction, smoking addiction, and love addiction. A low level of susceptibility to addiction to a healthy lifestyle was also found in the studied acquirers. Therefore, the main problems and addictions identified are Internet addiction. This correlates with the research of other authors in this area.
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Krylov, A. P. "Internet addiction in teenagers. Symptoms and approaches." Terapevt (General Physician), no. 2 (January 26, 2023): 61–64. http://dx.doi.org/10.33920/med-12-2302-07.
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Nowadays, computer and Internet addictions are becoming a worldwide problem. The article discusses the main symptoms of computer and Internet addiction. Approaches to the correction of conditions caused by computer addiction in adolescents are analyzed.
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Dong, Xue, Ruxin Zhang, Simon Zhornitsky, Thang M. Le, Wuyi Wang, Chiang-Shan R. Li, and Sheng Zhang. "Depression Mediates the Relationship between Childhood Trauma and Internet Addiction in Female but Not Male Chinese Adolescents and Young Adults." Journal of Clinical Medicine 10, no. 21 (October 28, 2021): 5015. http://dx.doi.org/10.3390/jcm10215015.
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Internet addiction is associated with a range of psychological risk factors such as childhood trauma and depression. Studies have also suggested sex differences in internet and other behavioral addictions. However, it remains unclear how childhood trauma, depression and internet addiction inter-relate differently between the sexes. A total of 1749 adolescents and young adults aged 12–27 participated in a survey of sociodemographic characteristics and standardized assessments to evaluate internet addiction (Internet Addiction Test), childhood trauma (Childhood Trauma Questionnaire) and depression (Beck Depression Inventory). Mediation and path analyses were used to examine the relationship between childhood trauma, depression and internet addiction. Internet-addicted females relative to males showed more severe depression but the control participants showed the opposite. Childhood trauma was associated with depression for both internet-addicted males and females; however, internet-addicted females but not males showed significant associations between depression and the severity of internet addiction as well as between childhood trauma and the severity of internet addiction. Further, in females, depression mediated the correlations between all types of childhood trauma and the severity of internet addiction. A path analysis suggested that sexual abuse and emotional neglect contributed most significantly to internet addiction when all types of childhood trauma were examined in one model. The findings suggest sex differences in the relationship between childhood trauma, depression and internet addiction. Childhood trauma contributes to internet addiction through depression only in females. The findings may guide future prevention and intervention strategies of internet addiction.
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Chauhan, Mrs Vandana, Dr Balvinder Kaur Buttar, and Mrs Ramesh Singh. "Internet Addiction among Adolescents." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 395–98. http://dx.doi.org/10.31142/ijtsrd3538.
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Topilskaya, Olga A. "Internet addiction as a form of addictive personal behavior." Psychological-Pedagogical Journal GAUDEAMUS, no. 49 (2021): 26–34. http://dx.doi.org/10.20310/1810-231x-2021-20-3(49)-26-34.
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We consider Internet addiction as one of the forms of addictive behavior of a person. Considering addiction and dependency as identical concepts we use them in the research equivalently. The opinions of scientists on the essence of “addiction” concept are analyzed and the personal characteristics inherent in addicts are revealed. The attractiveness of addiction for the individual is that representing a kind of psychological defense mechanism against painfully experienced frustrations it creates the illusion of the problem solution. We reveal the factors influencing the appearance of addictive behavior in a person are: social, biological, and also related to individual characteristics, which include psychological characteristics of the individual, reflection in the psyche of psychological traumas in various periods of life. We consider the five stages of addiction occurrence in detail. The models of addictive personality behavior are: calming, communicative, activating, hedonistic, conformal and compensatory. The mechanisms of the emergence of Internet addiction and the personal characteristics of Internet addicts are analyzed. The manifestations of psychological and physiological symptoms of Internet addiction are considered.
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Rajeswari, C., Ramachandra Ramachandra, Nimishamol Joseph, Nivya George, Pavithra K., Penini Syhly, and Prinu Jose. "Internet addiction among the undergraduate students." Journal of Health and Allied Sciences NU 07, no. 01 (March 2017): 057–60. http://dx.doi.org/10.1055/s-0040-1708697.
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Abstract Background: Internet addiction is an alarming issue which has significant impact on the lifestyle of people. Younger generation need to use internet judiciously and productively to prevent the underlying risks ahead. Aim: To assess the degree of internet addiction among undergraduate students. Methods: Using a non-experimental descriptive cross sectional research design, internet addiction was assessed among 200 undergraduate students studying at selected colleges in Bangalore city using Internet Addiction Scale. Results: Forty nine percent (98) of the undergraduate students had mild addiction, 28.5% (57) were moderately addicted, and 0.5% (1) was severely addicted. No addiction was identified in 22% (44).Degree of internet addiction was significantly associated with gender, course of study, level of education, religion, educational status of parents, total number of children in the family and internet use of significant others. Conclusion: Though the intensity of addiction varies, majority of the undergraduate students studied were addicted to internet. Awareness about this addictive behaviour and timely intervention can protect this productive group of the society from the harmful effect of this internet addiction.
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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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Yang, Wenjie, Nobuaki Morita, Zhijuan Zuo, Kyoko Kawaida, Yasukazu Ogai, Tamaki Saito, and Wenyan Hu. "Maladaptive Perfectionism and Internet Addiction among Chinese College Students: A Moderated Mediation Model of Depression and Gender." International Journal of Environmental Research and Public Health 18, no. 5 (March 9, 2021): 2748. http://dx.doi.org/10.3390/ijerph18052748.
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The association between perfectionism and addictive behaviors has been examined in previous literature; however, few pieces of research have investigated the mediating and moderating mechanisms underlying this relationship. Using a sample of 2016 Chinese college students, the present study examined the mediator of depression between maladaptive perfectionism and Internet addiction and the moderator of gender in such associations. The findings indicated that maladaptive perfectionism was directly related to students’ Internet addiction and indirectly predicted students’ Internet addiction via the mediator of depression. Gender moderated the direct effect, rather than the indirect effect, of maladaptive perfectionism on Internet addiction. Even though males reported a lower score on Internet addiction compared to females, the effect of maladaptive perfectionism on Internet addiction was stronger for males than for females. These findings revealed the psychological mechanisms from perfectionism to Internet addiction, which contributed to the theoretical development in addiction research and provided implications for interventions to reduce Internet addiction among Chinese college students.
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Kurniasanti, Kristiana Siste, Pratiwi Assandi, Raden Irawati Ismail, Martina Wiwie Setiawan Nasrun, and Tjhin Wiguna. "Internet addiction: a new addiction?" Medical Journal of Indonesia 28, no. 1 (May 8, 2019): 82–91. http://dx.doi.org/10.13181/mji.v28i1.2752.
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The internet today has become an integral part of daily life that facilitates communication, education, and entertainment. The behavioral pattern of excessive internet usage has similarities to substance addiction, such as tolerance, withdrawal, repeated failure to reduce or quit, and impairment in daily life. Yet, there is no consistent physiological change that accompanies excessive use of the internet, as there is in excessive substance use. Neurological and neuroimaging studies of excessive internet users show biological changes in the prefrontal cortex that are similar to those found in other addictive syndromes. Brain structure changes also occur in the temporal cortex and ventral striatum, compromising executive function in planning and reasoning and increasing impulsive risk, resulting in loss of control over internet use. Of all the potential online applications known to cause addiction, only internet gaming disorder has been selected in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) as a condition for further study.
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Milić, Jelena, and Anđelija Dimović. "Personality characteristics of adolescents with internet addiction disorder." Glasnik javnog zdravlja 97, no. 1 (2023): 66–78. http://dx.doi.org/10.5937/serbjph2301066m.
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The discussion about whether the internet addiction disorder should be considered a primary addiction disorder or a secondary disorder due to other psychiatric illnesses is a very current topic. Although the term "addiction" has historically been associated with the pathological use of psychoactive substances, research over the past few decades indicates that various behaviors are also part of the spectrum of addiction. Accordingly, addictions to psychoactive substances and behavioral addictions overlap in several segments, but there are also certain differences between them. Taking into account these statements, the subject of this research was the analysis of the personality structure of Internet addicted adolescents, aimed at identifying if there are specific differences in certain personality dimensions between adolescents addicted to the Internet (reference group) and adolescents who abuse psychoactive substances, as well as in adolescents from the non-clinical population. The methodology was applied to a sample consisting of 125 respondents of both genders, aged 13 to 24, of whom 27 were from the clinical group of Internet addicts, 24 from the clinical group of psychoactive substance addicts, and 74 from the non-clinical population. A questionnaire was used for assessing Internet addiction (Internet Addiction Test) and a questionnaire for assessing the personality of adolescents (Belgrade Personality Inventory of Adolescents). The results indicate that we cannot talk about a specific profile that distinguishes respondents who are addicted to the Internet. However, despite the limitations, significant differences in certain dimensions indicate certain deviations between groups of adolescents with Internet addiction, addiction to psychoactive substances and the non-clinical population. Low research curiosity, poorly developed perseverance and goal orientation play a significant role in the aetiopathogenesis of Internet addicts. We conclude that the obtained results can have a significant role in solving the current dilemma whether Internet addiction disorder should be considered a primary addiction disorder or a secondary disorder due to other psychiatric diseases.
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Gergely, Fehér. "Internet Addiction." Life 12, no. 6 (June 9, 2022): 861. http://dx.doi.org/10.3390/life12060861.
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This topic was dedicated to the complexity of internet addiction and contains 23 articles submitted by prestigious workgroups and originally launched as a Special Issue entitled “Internet Addiction” [...]
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Sadiku, Matthew N. O., Adebowale E. Shadare, and Sarhan M. Musa. "Internet Addiction." International Journal of Engineering Research 6, no. 9 (2017): 431. http://dx.doi.org/10.5958/2319-6890.2017.00056.3.
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García, Camino López, Ma Cruz Sánchez, and Ana García Valcárcel-Muñoz Repiso. "Internet Addiction." Journal of Information Technology Research 15, no. 1 (January 2022): 1–12. http://dx.doi.org/10.4018/jitr.297120.
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Different educational programs aim to reduce or control Internet addiction. These are based on a traditional methodology that can be recognized as an exposition or master class (participatory or not). In this type of educational programs the student acquires a passive role since they are focused on informing the students of the dangers associated with the development of Internet addiction, but not on the treatment or changes in behavior. If we review these educational programs it can see how they have little effect on students. For this reason, a new educational program approach has been created that fights or limits Internet addiction through a methodological proposal that also focuses on increasing digital competence while limiting or controlling the evolution of Internet addiction. In this article, the design is presented.
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Khudhair, Abdulkareem Salman. "Internet Addiction." Scholars Journal of Medical Case Reports 08, no. 04 (April 30, 2020): 505–7. http://dx.doi.org/10.36347/sjmcr.2020.v08i04.025.
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Kwon, Jun Soo. "Internet Addiction." Journal of the Korean Medical Association 42, no. 8 (1999): 759. http://dx.doi.org/10.5124/jkma.1999.42.8.759.
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Shaw, Martha, and Donald W. Black. "Internet Addiction." CNS Drugs 22, no. 5 (2008): 353–65. http://dx.doi.org/10.2165/00023210-200822050-00001.
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Sansom, Clare. "Internet addiction." Biochemist 24, no. 5 (October 1, 2002): 46–47. http://dx.doi.org/10.1042/bio02405046.
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Young, Kimberly S. "Internet Addiction." American Behavioral Scientist 48, no. 4 (December 2004): 402–15. http://dx.doi.org/10.1177/0002764204270278.
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Roman, David. "Internet addiction." Communications of the ACM 52, no. 11 (November 2009): 12. http://dx.doi.org/10.1145/1592761.1592767.
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Warden, Narelle L., James G. Phillips, and James R. P. Ogloff. "Internet Addiction." Psychiatry, Psychology and Law 11, no. 2 (June 2004): 280–95. http://dx.doi.org/10.1375/pplt.2004.11.2.280.
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Ruiz, C. "Internet addiction." Neuropsychiatrie de l'Enfance et de l'Adolescence 60, no. 5 (July 2012): S118. http://dx.doi.org/10.1016/j.neurenf.2012.05.503.
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Griffiths, Mark. "Sex Addiction on the Internet." Janus Head 7, no. 1 (2004): 188–217. http://dx.doi.org/10.5840/jh20047147.
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The Internet appears to have become an ever-increasing part in many areas of people’s day-to-day lives. One area that deserves further examination surrounds sex addiction and its relationship with excessive Internet usage. It has been alleged by some academics that social pathologies are beginning to surface in cyberspace and have been referred to as “technological addictions.” This article examines the concept of “Internet addiction” in relation to excessive sexual behavior. It contains discussions of the concept of sexual addiction and whether the whole concept is viable. This is done through the evaluation of the small amount of empirical data available. It is concluded that Internet sex is a new medium of expression that may increase participation because of the perceived anonymity and disinhibition factors. It is also argued that although the amount of empirical data is small, Internet sex addiction exists and that there are many opportunities for future research. These are explicitly outlined.
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Serna, Cristina, Joan García-Perales, and Isabel Martínez. "Protective and Risk Parenting Styles for Internet and Online Gambling Addiction." Human Behavior and Emerging Technologies 2023 (July 11, 2023): 1–12. http://dx.doi.org/10.1155/2023/6674541.
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This study analyzes the relationship of the four parenting styles, authoritative, authoritarian, indulgent, and neglectful, with Internet addiction and online gambling addiction. Study sample was 512 adolescents aged between 16 and 21 years (63.9% females, M = 18.7 , SD = 1.8 ). A 4 × 2 × 2 MANOVA was applied for the outcome variables of Internet addiction (loss of control, emotional need and dependence) and gambling (anticipation, desire, and relief) with parenting style (authoritative, authoritarian, indulgent, and neglectful), sex (boy vs. girls), and age (16-18 years old vs. 19-21 years old) as independent variables. The results provide evidence of the relationship between parenting styles and technological addictions, showing that parenting characterized by the use of practices of involvement and acceptance (authoritative and indulgent parenting) can act as protective factors for Internet addiction and online gambling addiction. On the contrary, authoritarian parenting, characterized by the use of strictness and imposition practices, would act as a risk factor for Internet addiction and online gambling addiction. The protective and risk effects of parenting styles over adolescents’ technological addictions take place irrespective of their sex and age.
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Korkmaz Aslan, Tuba, and Serap Batı. "Addiction in university students – determining the levels of cigarette, alcohol, substance, game, and Internet addiction." European Journal of Clinical and Experimental Medicine 21, no. 1 (March 2023): 58–67. http://dx.doi.org/10.15584/ejcem.2023.1.8.
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Introduction and aim. This study aims to determine the average addiction levels of university students and the effects of different demographic variables on addiction levels and types. Material and methods. The study included 783 volunteer students in the Seydişehir campus of Necmettin Erbakan University. Data were collected face-to-face using Sociodemographic Information Form, Fagerström Test for Nicotine Dependence (FTND), Cut-off test (CAGE), Digital Game Addiction Scale (DGAS-7), and Internet Addiction Test (IAT). Results. Of the students, 27.7% were using tobacco, 14.8% were using alcohol, 2.6% were using ecstasy, 2.3% were using cannabis, 1.4% were using inhalants, 1% were using pills. FTND, DGAS-7, and IAT mean scores were 3.80±2.55, 12.04±5.57, and 43.56±15.73, respectively, and 21.5% had risky alcohol use. Also, 2.2% were game addicts, 3.8% were internet addicts. Digital game addiction, internet addiction, and nicotine addiction were positively correlated. There was no significant relationship between nicotine and internet addictions. Individuals with risky alcohol use had higher rates of nicotine addiction. Conclusion. Students’ addiction rates were similar to the country in general. Addictions gained in the youth years continue in the following years and bring many health problems. Therefore, it is crucial to include the subject of combating addiction more in university education and increase studies on the subject.
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Sari, Ayu Permata, Asmidir Ilyas, and Ifdil Ifdil. "Tingkat Kecanduan Internet pada Remaja Awal." JPPI (Jurnal Penelitian Pendidikan Indonesia) 3, no. 2 (December 31, 2017): 45. http://dx.doi.org/10.29210/02018190.
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<p>This study shows that there are students who have an Internet addiction. Addictions possessed by students will certainly have a negative impact on self, social relationships and learning outcomes. This study aims to describe: 1) The level of Internet addiction in general 2) The core symptoms of Internet addiction in early adolescents 3) Problems related to Internet addiction in early adolescence. Quantitative research method with the quantitative descriptive approach. The population of this study is 596 students of SMA N 7 Padang and a sample of 240 students selected by proportional random sampling technique. The results revealed: 1) The rate of internet addiction in early adolescence is generally mostly in the moderate category with a percentage of 50%, 2) The core symptoms of Internet addiction in early adolescence are mostly in the high category with a percentage of 43%, consisting of indicators of compulsive symptoms, withdrawal symptoms and tolerance symptoms. 3) Internet-related addiction problems in early adolescence were mostly in the moderate category with a 49% percentage consisting of two interpersonal indicators & health problems and time management problems.</p>
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Asieieva, Yuliia. "RELATIONSHIP BETWEEN SOCIAL CONDITIONS OF LIFE AND THE STAGE OF MANIFESTATION OF CYBER ADDICTIONS." Science and Education 2021, no. 1 (March 2021): 34–44. http://dx.doi.org/10.24195/2414-4665-2021-1-5.
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The whole world today is rapidly following the path of digitalization of society, cyberspace is becoming a new sphere of reality for the majority of the population. Despite all the advantages of interactive technologies and the speed of obtaining the necessary information due to the prevalence of the Internet. New problematic issues also arise. Almost 8% of the world's population has been already addicted to the Internet, but questions about the nosology, etiology of cyber addictions and their treatment and prevention still remain unresolved. The aim of this study was to identify the impact of social living conditions on the severity of cyber addictions. The following research methods were used: bibliographic and historical analysis of theoretical heritage, psychodiagnostic testing: Test-questionnaire for detecting cyber addiction (TQC) and semi-structured interview of respondents to clarify social living conditions as well as mathematical and statistical methods for data analysis (data processing was done using the program "Microsoft Excel", "SPSS 26.0 for Windows XP"). The study sample consisted of 559 people, including 408 who had certain types of cyber addictions and 151 people who agreed to join the control group (relatively healthy). The study was conducted in accordance with the principles of bioethics and deontology. It was found that the most typical addictions for boys are computer addiction, Internet addiction, game addiction and gadget addiction; more typical addictions for girls are cybercommunication addiction and selfie. In correlation analysis (according to Pearson and Tau-b Kendall) of relationship between the influence of social living conditions on the severity of cyber addictions it was found that according to the results of both correlation matrices the links were not revealed between cyber addictions and educational institutions in which our respondents studied; but at the same time a direct relationship was found between computer addiction, Internet addiction, game addiction and cyber-communication addiction with the academic success of cyber-addicts. Such a type of cyber addiction as selfie has an inverse relationship with the material wealth of the family. When analyzing the results obtained by Pearson's correlation analysis, it can be argued that the manifestations of all types of cyber addictions have a medium direct connection with conflicts with parents, a weak direct connection between cyber addictions and conflicts with peers.
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Nur Rahmawati, Ajeng Intan. "Internet Addiction pada Remaja Pelaku Substance Abuse: Penyebab atau Akibat?" Buletin Psikologi 26, no. 1 (June 6, 2018): 64–70. http://dx.doi.org/10.22146/buletinpsikologi.31164.
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The purpose of this article to find out which variables are the causes and effects between substancial abuse and internet addiction through conceptual studies.Internet addiction and substance abuse are known to have correlation.But this becomes overlapping, which is the cause andthe result. The results of this conceptual study explain that adolescents who experience substance abuse will tend tobe the cause of increased prevalenceinternet addiction, because the use of addictive substances will determine how fast internet addiction develops. Conversely, adolescents who experience Internet addiction is not necessarily the cause of the emergence of substance abuse. It can be concluded that substance abuse is the cause of high levels of internet addiction in adolescents, likewisethe internet addiction has the potential to cause substance abuse
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Sudarto and Muhammad Alifian Rizqi Ananda. "Gender Differences in Internet Addiction and Its Impact on Exposure to Pornography and Internet Gaming Disorder." CoverAge: Journal of Strategic Communication 14, no. 2 (March 21, 2024): 78–90. http://dx.doi.org/10.35814/coverage.v14i2.6412.
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Various studies have shown that internet addiction and its impact can vary by gender. Previous research has shown that excessive internet use in men is associated with addiction to video games, while in women it is linked to social media addiction. There is still little research on internet addiction that inferentially inferences its impact on gender differences. The study aims to test gender differences in internet addiction and its impact on exposure to pornography and Internet Gaming Disorder (IGD) among adolescents. The data was collected through a survey of 242 students at one of the state high schools in Jakarta. The results of the study showed no gender differences in internet addiction, but there were gender differences in terms of the impact of Internet addiction on pornography exposure and IGD. MANOVA's results showed an association between internet addictions and pornographic exposure, and IGD. Male adolescents tend to be more exposed to pornography and experience IGD compared to female adolescents. This research brings early warning about the impact of excessive internet use on future online behavioural problems. Although the impact of internet addiction on adolescents is not at its highest level, we need to be careful about this. In the future, access to the Internet is becoming easier and cheaper, plus the world's educational pressure on adolescents students is increasing, fearing that adolescents will seek escape through excessive use of the Internet.
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Yaskevich, Natalia A., Alexey S. Lysakov, Roman A. Yaskevich, and Olga L. Moskalenko. "ASSESSMENT OF THE ROLE OF CHRONOBIOLOGICAL PERSONALITY TYPE IN THE FORMATION OF INTERNET-ADDICTIVE BEHAVIOR IN SCHOOLCHILDREN." Russian Journal of Education and Psychology 14, no. 1 (February 28, 2023): 173–93. http://dx.doi.org/10.12731/2658-4034-2023-14-1-173-193.
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The purpose of the study. To evaluate the role of chronobiological personality type in the formation of Internet-addictive behavior in schoolchildren.
Materials and methods. The study involved 25 students of both sexes of the 6th grade of secondary school No. 84 in Krasnoyarsk. The chronobiological personality type was determined using the Morningness-Evningness Questionnaire. The Chen Internet addiction Scale was used to assess the level of Internet addiction.
Results. The most common chronobiological type among students was the daytime chronotype. A pronounced and stable pattern of Internet addictive behavior on the CIAS scale was detected in 8,0% of the surveyed schoolchildren, among whom there were only girls. The frequency of gaming addiction was higher in boys, while the frequency of social media addiction was 3 times higher among girls compared to boys. Internet addiction was observed mainly in adolescents with a daytime chronotype. The frequency of gambling addiction was twice as high among the representatives of the evening chronotype, while dependence on social networks was twice as common among schoolchildren of the daytime chronobiological type.
Conclusion. It was found that Internet addiction was observed mainly in students with a daytime chronobiological type.
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Babaei, Shirzad, Ali Asghar Asgharnejad Farid, Fahimeh Fathali Lavasani, and Behrooz Birashk. "A Comparative Study on Emotional Regulation in Males With Internet Addiction, Food Addiction, Opioid Dependence and Normal Peers." Iranian Journal of Psychiatry and Clinical Psychology 26, no. 4 (January 1, 2021): 432–47. http://dx.doi.org/10.32598/ijpcp.26.3.2325.2.
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Objectives: Difficulty in emotional regulation is an important component in the pathology of different types of addiction and its evaluation can be helpful in understanding and treating these difficulties. The purpose of this study is to evaluate emotional regulation in people with opioid dependence (heroin and opium), food addiction, and internet addiction compared to normal people. Methods: This is a causal- comparative study. Participants were 120 eligible male addicts selected using a purposive sampling method and divided into four groups of 30 including drug addiction, food addiction, internet addiction, and control. Semi-structured clinical interview for DSM-IV axis I disorders, Yale Food Addiction Scale, and Young’s Internet Addiction Test were used to diagnose the addictions. Then the Difficulties in Emotion Regulation Scale (DERS) was completed. Multivariate Analysis of Variance (MANOVA) was used to analyze the collected data. Results: Overall DERS score and the score of its subscales were higher in all three addiction groups compared to the control group, and this difference was statistically significant (P<0.05). There was no significant difference between the three addiction groups in subscales of “unwillingness to accept certain emotional responses” and “difficulty engaging in goal-directed behavior”, but a significant difference between the three addiction groups was observed in subscales of “difficulty controlling impulse”, “lack of emotional awareness”, “lack of access to strategies”, “lack of emotional clarity”, and overall DERS score (P<0.05). Conclusion: Men with opioid dependence, internet addiction and food addiction have more difficulties in emotional regulation compared to their normal peers. Emotional regulation ability in men with internet addiction is greater than in those with food and opioid addictions.
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Li, Guangming. "Hierarchical Linear Model of Internet Addiction and Associated Risk Factors in Chinese Adolescents: A Longitudinal Study." International Journal of Environmental Research and Public Health 19, no. 21 (October 27, 2022): 14008. http://dx.doi.org/10.3390/ijerph192114008.
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The risk effects of internet addiction have been documented in the literature; however, few longitudinal studies have considered the heterogeneity of the subjects. A hierarchical linear model was used here to explore the relationship between adolescents’ internet addiction and associated risk factors (depression, anxiety, gender, and obesity) from the perspective of longitudinal analysis. A total of 1033 adolescents were investigated and followed up with every three months with the Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), and Internet Addiction Test (IAT). The hierarchical linear model of internet addiction had only two levels. The first level of the model was the time variable (three time points) and the second level of the model was the individual adolescent (1033 adolescents). The results showed that (1) depression and anxiety, as associated risk factors, were significant positive predictors of adolescents’ internet addiction considering the developmental trajectory courses of adolescent internet addiction, as well as the individual differences over time; (2) there were gender differences in the adolescents’ internet addictions—specifically, the initial level of internet addiction among boys was significantly higher than that of girls, but the rate of decline was significantly faster than that of girls; and (3) there was no significant difference in obesity. The results demonstrated the importance of considering depression, anxiety, and gender in any intervention efforts to reduce adolescents’ internet addictions, and we should pay attention to the cultivation of positive coping strategies for Chinese adolescents. The limitations of the study were also discussed.
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L, Harikrishna G., Haseena T A, and Aruna V M. "Internet Addiction Among Nursing Students." Indian Journal of Behavioural Sciences 27, no. 01 (March 22, 2024): 32–36. http://dx.doi.org/10.55229/ijbs.v27i1.05.
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Introduction: The Internet is incorporated as a part of the day-to-day life of every individual irrespective of their age as its usage has been growing explosively worldwide. It has dramatically changed the current information and communication scenario, and there has been an explosive increase in Internet users worldwide in the last decade. As behavioral addiction, Internet addiction leads to symptoms traditionally associated with substance-related addictions namely salience, tolerance, withdrawal, conflict, and relapse. The objectives of the study were to assess the level of internet addiction among nursing students and to determine the association between internet addiction and socio-demographic variables.Methods: A quantitative approach with a descriptive design was used for the study. The setting chosen for the present study was Sree Gokulam Nursing College, Venjaramoodu, Kerala. The sample consisted of undergraduate nursing students who satisfied the inclusion criteria and were selected by simple random sampling. The sample size for the study was 185. The tools used for data collection were socio-personal proforma and the internet addiction scale by Dr. Kimberly Young, which categorizes internet users to normal internet users (0–20), mild internet addiction (21–49), moderate internet addiction (50–79) and severe internet addiction (80–100).Results: The majority of subjects (91.9%) were females, single (95.7%) and the majority (48%) were under the age group of 19 to 20 years. Nearly half (47.6%) of the study subjects have internet access at their home. Among those 53.0% of subjects used Facebook as their most preferable site. The majority of the subjects were found to have normal internet usage (67.0%) and mild internet addiction 31%. The mean score of internet addiction was 15.13 and standard deviation was 1.27. There was no significant association between internet addiction and socio-demographic variables.Conclusion: As the study finding indicates with the increased use of the internet in today’s society, there is a potential for overuse of technology and neglect of others and self as a result of internet addiction. Nowadays internet addiction is an increasingly recognized condition and one in which nurses can play a key role in management