Predictors of internet use pdf

Predictors of overall and mental healthrelated internet use. Starting to use the internet during the followup was constructed based on the number of non internet users at t1 20012002. Selfesteem, daily internet use and social media addiction as. Internet addiction, especially its prevalence among adolescents and its predictors, has been the focus of much research. In addition, research on selfesteem and use of the internet includes studies examining adolescents use of some social networking. The internet is an increasingly important source of health information for the general population. Predictors of treatment outcomes and adherence in internet based cognitive behavioral therapy for social anxiety in china huijing chen, marcus a. This descriptive study was conducted with 1 students aged between 12 and 18 who are enrolled at different schools in southern region of aegean. Predictors of problematic internet and mobile phone usage in.

Shyness and anxiety as predictors of patterns of internet usage maritascealyb. Predictors of bullying and victimization in childhood and adolescence. Gender differences in internet addiction associated with. An ordinal logistic regression was conducted to identify unique predictors of overall internet use among these significant variables. Second, divergent conceptualizations hinder the advancement of theoretical explanations about when internet users exhibit characteristics of use that amounts to. The present study investigated gender differences in internet addiction associated with selfrated health, subjective happiness, and. Sc hons abstract the internet has the potential to empower or isolate. A shortterm longitudinal study of internet and computer game. Mar 24, 2015 journal of safety research 53 2015 103106. All these results suggest that less than optimal parenting behaviors can increase the probability of adolescents problematic internet use. In a further study, a stable problematic internet use over a period of two years was. Males and females differed significantly in their use of the internet, with males significantly more likely to be.

Psychological predictors of young adults use of social. The findings revealed that selfesteem and social media addiction predict %20 of the daily internet use. Undergraduate students n 272 completed a selfreport questionnaire measuring extraversion, impulsivity, online group membership, frequency of use, and gender as predictors of problematic internet use. The internet was used as a medical resource by more than a quarter of respondents. Predictors in starting and stopping internet use between 2002. Prediction of academic performance associated with internet usage behaviors using machine learning algorithms.

Internet addiction is a relatively frequent phenomenon among medical students. Jul 01, 2014 we also believe it is an asset that we focused on one specific use of internet social network sites, and we are as such in line with perspectives concerning problematic internet use, which argues for a contentspecific approach young, 2009. Furthermore, research on internet and communication technologies also suggested that some of ffm factors can be helpful in explaining excessive use and addiction. The results show that the best predictive model for both technologies includes sociodemographic variables as predictors of extreme scores for excessive internet and mobile phone usage, with good sensitivity. Predictors of use of social network sites at work a. At each wave, internet use was a question with a yes or no answer possible. Internet usage in african countries related to democracy, empowerment and capability development. Pdf we examined audience uses of the internet from a usesandgratifications perspective. Loneliness, depression, and computer selfefficacy as predictors of problematic internet use. Former statin users were more likely to use the internet to research statins compared with current users, and use of the internet to learn about statin treatment was associated with a significant increased risk of being a discontinuer. Furthermore, while depression was associated with selfesteem and daily internet use directly, social media addiction was affecting depression indirectly. Pdf institutional factors and perceived usefulness as. As far as we are aware, this is one of the first studies that link the fivefactor model of. Internet use, particularly among children and youth, increases fast ceyhan, 2011.

Few studies have investigated gender differences in the relationship between internet addiction and psychological health among adolescents. International journal of research in education and science ijres, 12, 167174. Positive mental health as a predictor of problematic internet and facebook use in adolescents and young adults marino, c, hirst, cm, murray, c, vieno, a and spada, mm 2017. Predictors in starting and stopping internet use between. Data were collected for 3707 pupils in danish schools in 2008, using a multimedia computer. The results generally supported the model with selfdisclosure and social connection being predictive of compulsive internet use and excessive internet use. Predictors and patterns of problematic internet game use using a decision tree model mi jung rho1,2, joeun jeong 3, jiwon chun, hyun cho, dong jin jung3, in young choi1,2 and daijin kim3 1department of medical informatics, college of medicine, the catholic university of korea, seoul, republic of korea 2catholic institute for healthcare management and graduate school of healthcare.

Predictors of internet use for the professional development. Predictors of spontaneous remission of problematic. The prevalence of problematic internet use and the related. Lin and tsai 44 also found that disinhibition was the most important subscale of sensation seeking scale associated with dependence, withdrawal, tolerance and compulsive use of internet. The present study investigated predictors of problematic internet use. Predictors of problematic internet and mobile phone usage. Are selfregulation and depressive symptoms predictors of. These technologies are highly publicized, debated, and regulated media. This study examined psychological, health, social and demographic predictors with starting and stopping internet use by older adults 20022012. This descriptive study was conducted with 1 students aged. The relevance of social anxiety for the spontaneous remission of adolescent problematic internet use was already reported before by lau et al.

Female gender has also been identified as a predictor of problematic online. The predictors of internet addiction were male students using it for surfing and entertainment purposes. Academic selfefficacy and academic procrastination as. Perceived parenting styles as predictor of internet. This study identified predictors and patterns of problematic internet use among adult students. In this study, direct and indirect effects of selfesteem, daily internet use and social media addiction to depression levels of adolescents have been investigated by testing a model. Internet use patterns, internet addiction, and psychological. Predictors of internet use for health information among male.

The analyses identified five motives for using the internet and multivariate links among the antecedents and motives. Pdf selfesteem, daily internet use and social media. Predictors of heavy internet use and associations with healthpromoting and health risk behaviors among hong kong university students. This study uses an innovative statistical strategy to test the role of certain variables as predictors of problematic internet and mobile phone usage among adolescents in spain and in the united kingdom. A shortterm longitudinal study of internet and computer. Apprehension emerged as a significant predictor of compulsive internet use, whereas convenience and miscommunication were predictive of excessive internet use. Kim, and shelly sadek university of california, riverside research on the predictors of 3. However, few studies have compared predictors of internet use for health information between the sexes. Selfesteem, daily internet use and social media addiction. Associations between problematic internet use and social anxiety were found earlier in some published studies e. A basic need theory approach to problematic internet use. Psychoactive substance use and problematic internet use as. This article may be used for research, teaching, and private study purposes.

Shyness and anxiety as predictors of patterns of internet. This frequency, however, needs to be interpreted in context of the prevalence estimates for germany between 3% and 5% in adolescence 1416. Predictors of mobile internet usage in 10 african countries enrico calandro, uctresearch ict africa. Shyness and locus of control as predictors of internet addiction and internet use. Journal of safety research centers for disease control and. Predictors of bullying and victimization in childhood and. A number of studies have treated depressive symptoms and selfesteem as predictors of victimization e. Are there any significant predictors of turkish adolescents loneliness. The potential benefits of computer use for cognitive development, in particular, have often been raised. We expected contextual age, unwillingness to communicate, social presence, and internet motives to predict outcomes of internet exposure, affinity, and satisfaction. Pdf predictors of internet use zizi papacharissi academia. Prevalence and factors associated with internet addiction. Predictors of excessive use of social media and excessive online. We expected contextual age, unwillingness to communicate, social presence, and internet motives to predict outcomes of internet.

The role of internet user characteristics and motives in explaining. Authors personal copy internet use, videogame playing and cell phone use as predictors of children s body mass index bmi, body weight, academic performance, and social and overall selfesteem linda a. The purpose of this study is to gain a better idea of why people choose to use internet for communication. Perceived parenting styles as predictor of internet addiction in adolescence. Longitudinal studies of prospective predictors for pathological internet use piu in adolescents as well as its course are lacking. Problematic internet use and psychosocial wellbeing. This article takes a deeper look into how the internet has changed communication and the need to gather information from it. Problematic internet use is an important social problem among adolescents and has become a global health issue. In some other studies, selfesteem has emerged as a factor associated with internet use and problematic internet use.

Problematic internet use among turkish university students. Past studies have indicated that some patterns of internet use are associated with loneliness, shyness, anxiety, depression, and selfconsciousness. Each new person who started to use the internet was taken into account for every wave t2, t3 and t4. The main predictors of frequent or heavy internet use 201 times per month are. To examine the rate of internet victimization in a nationally representative sample of adolescents aged 1417 and to analyze predictors and protective factors for victimization. Open access ec psychology and psychiatry editorial. Data for this study were collected via a survey of 221 teachers who completed self. The results suggested distinctions between instrumental and ritualized internet use, as well as internet use serving as a functional alternative to facetoface interaction. Predictors of treatment outcomes and adherence in internet.

While most of the prior research explaining internet usage has followed the. Positive mental health as a predictor of problematic internet and facebook use in adolescents and young adults. Problematic use of the internet is becoming increasingly important and especially for adolescents, high prevalence rates are reported in many countries. This threewave longitudinal study was conducted within the framework of the european unionfunded project saving and empowering young lives in europe over a 2year period. The predictors of internet addiction are indicated by young and rogers 1997 as. Perceived parenting styles as predictor of internet addiction. A 2year longitudinal study of prospective predictors of. Results showed that younger age, completion of postsecondary education, and lower negative symptom severity were unique predictors of overall internet use, as displayed in table 3. Being a rich source of information, and containing entertainment facilities for all age groups, as well as its easy access are among major reasons of increasing use of the world wide web. Jan 09, 2020 a similar picture emerged with regard to social anxiety.

In this study, 400 students were recruited using stratified sampling technique. Duration of internet use was also predictor for ia among university students in turkey. Predictors of spontaneous remission of problematic internet. This study examined teachers internet use behaviour for professional development using the theory of planned behaviour. Media use predictors of online political efficacy among internet users in five arab countries justin d. For instance, ehrenberg 8 found that neurotic individuals have high tendency to use instant messaging for communication and show addictive mobile use behaviors.

Despite the growing international research activities and the reported prevalence estimates, comparatively very few studies have focused on spontaneous remission and its possible causes. The relationship between disinhibition and problematic internet use demonstrated its closeness to impulsive behavior 47. Even though social media addiction, which is a concept representing the excessive use of the internet, does not constitute the main focus of this study, social media addiction and selfesteem. Academic selfefficacy and academic procrastination as predictors of problematic internet use in university students. Psychological factors including demographic features, mental. Metacognitions and emotion regulation as predictors of problematic internet use in adolescents. We examined audience uses of the internet from a usesandgratifications perspective. Shyness and locus of control as predictors of internet. The new psychological disorder of internet addiction is fast accruing both popular and professional recognition. A shortterm longitudinal study of internet and computer game use by adolescent boys and girls.

The objective of this paper is to analyze the situation of excessive internet use among adolescents in the czech republic and to reveal. The role of internet addiction and social media membership. Prevalence, frequency of use, and psychosocial predictors teena willoughby brock university prevalence, frequency, and psychosocial predictors of internet and computer game use were assessed. Problematic internet use was prevalent among more than half of the sample but only a small number of students 6. The purpose of this study is to investigate the internet use of turkish adolescents, with a particular focus on the risk of internet addiction. A webbased questionnaire was completed by a total of 4,311 adolescents attending public high schools in grades 912, in a smallsized city in western turkey. The internet has become one of the major necessities of life in almost all countries. Problematic internet use as an agerelated multifaceted problem.

Access to computermediated technologies, such as the internet, has extended our informational and interactive capabilities. Relationship of internet addiction with selfesteem and. Pdf shyness and locus of control as predictors of internet. The use of snss can have both positive and negative effects on the individual. Predictors of mobile internet usage in 10 african countries enrico calandro, uctresearch ict africa rong wang, usc annenberg school of communication. The socioeducational and internet use behaviors data sheet was used to gather demographic information and patterns of internet use, internet addiction test iat was utilized to assess ia, and selfreport questionnaire srq20 assessed psychological distress primarily depressive symptoms. Jun 05, 2009 the present study investigated predictors of problematic internet use. Predictors and patterns of problematic internet game use. Selfesteem, daily internet use and social media addiction as predictors of depression among turkish adolescents kagan k. In order to collect data, childrens depression inventory.

Predictors of problematic internet and mobile phone usage in adolescents summary. Data were used from the longitudinal aging study amsterdam, and cox regression analyses were done to test predictors over time with starting or stopping internet use. Extraversion, impulsivity, and online group membership as. This study sought to predict young adults use of snss and addictive tendency toward the use of snss from their personality characteristics and levels of selfesteem. Metacognitions and emotion regulation as predictors of. The factors that predict internet usage patterns are explored through the use of consumer panel data. Predictors and protective factors for adolescent internet. Institutional factors and perceived usefulness as predictors of internet use by postgraduate students at the university of ibadan, nigeria nurudeen adeniyi aderibigbe kolawole akinjide aramide. A multidimensional investigation based on demographics and internet activities. A behavior sampling analysis on internet addiction a study of internet addiction through the lens of the interpersonal theory. We examined audience uses o f the internet from a usesandgratifications perspective. Both preventive health behavior and internet use are known to be different between men and women. Exploring the relationships among internet usage, internet attitudes.

However, this finding does not necessarily highlight the time duration required for emergence of ia since its initial use by the individual. With the widespread use of such technologies, we require greater understanding of the personal and social attributes that affect why people use. Are selfregulation and depressive symptoms predictors of problematic internet use among first year university students. Internet use as a predictor of the types of online activities that people are likely to.