Relationship between Internet Addiction and Identity Styles in Bushehr University of Medical Sciences Students

Abstract

Relationship between internet use and academic achievement ... [3] The relationship between internet and cell-phone addictions ... [4] Assessment of internet addiction among college students ... [5] Ego identity status and identity processing orientation ... [6] Modeling structural relations of social support ... [7] Identity styles and academic status of Gilan university ... [8] Relationship between internet addiction and depression ... [9] The relationship between internet addiction and personality ... [10] Evaluation of the relationship between identity styles ... [11] Mediating role of gender-related personality traits ... [12] The relationship between the identity process styles ... [13] Psychometric properties of Young internet ... [14] Internet addiction and its effects on the academic ... [15] Prevalence and associated factors of internet addiction ... [16] Study of the relationship between identity styles and ... [17] Exploring individual differences in online addictions ... [18] Relationship between parenting styles, identity styles ... [19] The relationship between the internet addiction ... [20] The how and what of identity formation: Associations ... [21] Online activities, prevalence of internet addiction ... [22] Lower psychological well-being and excessive sexual ... [23] Investigate internet addiction and effective factors ... [24] Forecast of social intimacy based on identity style ... AimsInternet addiction is excessive use of the Internet (daily more than three hours). This is social and psychological damage with severe consequences for young people, especially college students. This study aimed to investigate the relationship between Internet addiction and identity styles in Bushehr University of Medical Sciences students. Instrument & MethodsThe present research is a descriptive correlational study. The statistical population was all students of Bushehr University of Medical Sciences. The sample included 277 students studying at Bushehr University of Medical Sciences who were selected using simple random sampling. The data were collected using demographic characteristics, the Berzonsky Identity Style Inventory, and Yang's Internet addiction questionnaire. For analyzing data, statistical Pearson correlation, ANOVA, t-test were used by SPSS 23 statistical software. Findings The result showed that 90.2 percent of students were non-addicted, and 9.8 percent are addicted to the Internet. The average information identity is 40.29±6.65, and the avoidance identity is 27.89±6.21. The correlation between normative identity style (-0.30) and information (-.0.26) with Internet addiction in a negative direction is statistically significant (p<0.001). ConclusionThe present study's findings confirm the relationship between informational and normative identity styles and Internet addiction. According to the results of this study, it is necessary to develop programs such as training the Internet's correct use at universities and filling students' leisure time.

Association between excessive smartphone use and perceived health consequences among rural university students in Northern Thailand

“…32 In a study conducted by Long et al 34 , majoring in science vs. humanities was a significant predictor of problematic smartphone use in the final model (OR = 2.14, p-value < 0.001). Moreover, Zarei et al 33 found that 90.2% of medical sciences students were not addicted to their smartphones and that only 9.8% were addicted to the internet. Specifically, when considering subelements, including entertainment, educational, and financial use, the findings indicated that students in the HSS field are more likely to use smartphones to accomplish various daily tasks than students in other fields.…”

“…A self-administered questionnaire developed and created by the researchers was based on a survey of relevant literature and similar studies. 3,5,6,32,33 The questionnaire consisted of three different sections. The first section comprised 10 items describing the demographic characteristics of the participants, including fields of study, gender, age, body mass index (BMI), underlying diseases, father's occupation, mother's occupation, financial status (financial support from parents), smartphone experience, and internet usage patterns.…”