Association between internet addiction and musculoskeletal disorders in Iranian medical sciences students
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ABSTRACT:
SUBMITTER: Nochian M
PROVIDER: S-EPMC11342478 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
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Project description:ObjectiveTo compare the Internet addiction levels between male and female medical students.MethodsOne hundred medical students (male: 50, female: 50) aged 17-30 years were included in a cross-sectional study. A standardized questionnaire was used to assess their Internet addiction level. Additionally, a self-designed questionnaire was used to identify the various purposes of Internet use among the students. The Internet addiction score (based on the Internet Addiction Test) was compared between male and female students by using the Mann-Whitney U test (p≤0.05). After knowing their addiction level, we interviewed students to know if Internet use had any bad/good impact on their life.ResultsThe Internet Addiction Test scores obtained by the students were in the range of 11-70. Out of 100 students, 21 (male: 13, female: 8) were found to be slightly addicted to the Internet. The remaining 79 students were average online users. There was no significant difference between male and female students in the addiction level (score). However, males were more addicted than females. The major use of Internet was to download and watch movies and songs and to communicate with friends and family (76/100). Some students (24/100) used the Internet to assess information that helped them in their educational and learning activities. Some students mentioned that overuse of the Internet lead to insufficient amounts of sleep and affected their concentration levels in the classroom during lectures.ConclusionMedical students are experiencing problems due to Internet overuse. They experience poor academic progress and lack of concentration while studying. The main use of the Internet was for entertainment and to communicate with friends and family.
| S-EPMC5624599 | biostudies-literature
Project description:BackgroundModern undergraduate nursing students face unique challenges as digital natives balancing internet activities with the substantial academic demands of nursing studies. Given the detrimental effects of internet addiction on students' academic performance and well-being, having time management skills is crucial.AimsTo assess the prevalence and levels of internet addiction and time management and their association among undergraduate nursing students.DesignA cross-sectional, survey-based research design was used.SettingThe Faculty of Nursing at Alexandria University in Egypt.SubjectsA stratified random sample consisting of 825 undergraduate nursing students.ToolsThe internet addiction test and time management questionnaire were utilized to collect data.FindingsInternet addiction was prevalent among 98.8% of students, with 56.0% exhibiting mild levels, 40.0% showing moderate levels, and 2.8% having severe levels. A statistically significant negative correlation was found between students' internet addiction and overall time management (r= - 0.387, p < 0.001).ConclusionA considerable level of internet addiction was revealed among the great majority of undergraduate nursing students; however, many students also demonstrated strong time management skills. Furthermore, internet addiction and overall time management were negatively associated, indicating that students with higher levels of internet addiction tend to have poorer time management abilities.RecommendationsIndividual counseling and educational training programs should be developed to teach nursing students how to manage time and effectively plan internet usage.
| S-EPMC11389558 | biostudies-literature
Project description:Background: Nursing students who suffer from co-occurring anxiety experience added difficulties when communicating and interacting with others in a healthy, positive, and meaningful way. Previous studies have found strong positive correlations between Internet addiction (IA) and anxiety, suggesting that nursing students who report severe IA are susceptible to debilitating anxiety as well. To date, however, network analysis (NA) studies exploring the nature of association between individual symptoms of IA and anxiety have not been published. Objective: This study examined associations between symptoms of IA and anxiety among nursing students using network analysis. Methods: IA and anxiety symptoms were assessed using the Internet Addiction Test (IAT) and the Generalized Anxiety Disorder Screener (GAD-7), respectively. The structure of IA and anxiety symptoms was characterized using "Strength" as a centrality index in the symptom network. Network stability was tested using a case-dropping bootstrap procedure and a Network Comparison Test (NCT) was conducted to examine whether network characteristics differed on the basis of gender and by region of residence. Results: A total of 1,070 nursing students participated in the study. Network analysis showed that IAT nodes, "Academic decline due to Internet use," "Depressed/moody/nervous only while being off-line," "School grades suffer due to Internet use," and "Others complain about your time spent online" were the most influential symptoms in the IA-anxiety network model. Gender and urban/rural residence did not significantly influence the overall network structure. Conclusion: Several influential individual symptoms including Academic declines due to Internet use, Depressed/moody/nervous only while being off-line, School grades suffering due to Internet use and Others complain about one's time spent online emerged as potential targets for clinical interventions to reduce co-occurring IA and anxiety. Additionally, the overall network structure provides a data-based hypothesis for explaining potential mechanisms that account for comorbid IA and anxiety.
| S-EPMC8424202 | biostudies-literature
Project description:Stress and behavioral addiction are becoming major health problems growing in strength and prevalence. They are often associated with a large array of debilitating diseases and conditions including psychosocial impairments. Medical students remain a vulnerable territory for developing stress and addiction mainly relating to Internet use. Data was gathered from medical students around Lebanon on the relationship between stress and internet addiction. The data in this article provides demographic data about medical students in Lebanon, their stress levels, sources of stress as well as the level of internet addiction recorded in relation to their stress levels. The analyzed data is provided in the tables included in this article.
| S-EPMC6706676 | biostudies-literature
Project description:BACKGROUNDS:The development of the Internet has changed interpersonal interactions, so that people no longer need to physically meet each other. However, some people are more vulnerable to becoming addicted to Internet activities, something to which the ease of Internet access and usage has contributed. In this study, we examined the association between personality traits and feelings about online interpersonal interactions to predict Internet addiction. This was accomplished using an online advertisement that asked participants to complete the questionnaires in the laboratory. METHODS:Two hundred and twenty-three participants with a mean age of 22.50 years were recruited for this study and asked to complete the following questionnaires: the Beck Depressive Inventory (BDI), the Beck Anxiety Inventory (BAI), the Chen Internet Addiction Scale (CIAS), the Eysenck Personality Questionnaire (EPQ), the Internet Usage Questionnaire (IUQ) and the Feelings of Internet Interpersonal Interaction Questionnaire (FIIIQ). RESULTS:The results showed that people with a neurotic personality and anxious feelings about Internet interpersonal interactions are more likely to become addicted to the Internet. In addition, people with neuroticism and who are more anxious about Internet interpersonal relationships are more likely to develop Internet addiction. CONCLUSIONS:People who tend to develop new interpersonal relationships via the Internet and be anxious about online interpersonal relationships are more vulnerable to becoming addicted to the Internet. The individuals who are more anxious about Internet interpersonal interaction and tend to develop new interpersonal relationships via the Internet are more likely to develop Internet addiction.
| S-EPMC6801757 | biostudies-literature
Project description:Severe internet addiction (IA) is associated with a higher risk of musculoskeletal pain, but whether there is a significant prospective association between IA and fatigue is unclear. This study aimed to examine the association between IA and fatigue level among Chinese college students. A cross-sectional (n = 1011) and prospective study (n = 653) was conducted to examine the association between IA and risk of fatigue. IA was measured using Young internet addiction test. Fatigue level was evaluated using the Chalder fatigue scale. Multivariate logistic regression analyses showed a cross-sectional association between IA and the risk of fatigue. The odds ratios (95% CIs) of fatigue for normal, mild, and moderate to severe groups were 1.00 (reference), 1.88 (1.20, 2.95), and 5.60 (3.33, 9.42), respectively (P for trend: <0.001). Similarly, multivariate logistic regression analyses also revealed a significant prospective relationship between IA and the risk of fatigue during the 1-year follow-up period. The odds ratios (95% CIs) of fatigue for normal, mild, and moderate to severe groups were 1.00 (reference), 1.56 (0.67, 3.67), and 3.29 (1.08, 10.04), respectively (P for trend: 0.046). Our findings indicate that IA is positively related to risk of fatigue among Chinese college students. Further interventional studies are needed to explore the causality underlying the effects of IA on fatigue.
| S-EPMC9387967 | biostudies-literature
Project description:BackgroundHigher education students are heavy users of the internet for a wide variety of reasons, including Social Networking Sites (SNSs). This study investigated various purposes of internet use among undergraduate university students, and how different categories of such activities are related to SNS addiction.MethodsThe sample set from 420 SNS users (280 females), a survey questionnaire was used to collect the information, including demographic information, purposes for internet usage (social, entertainment, academic, and economic purposes), and SNS addiction. Descriptive statistics, correlation, and a path diagram to estimate the regression coefficients were used to examine the data.ResultsFindings revealed that the most common purposes for using the internet were online social networking and information seeking, followed by listening to music or watching movies, learning, relaxing, using email for educational needs, and reading socio-political news. In the comparison between categories of purposes for internet usage, the most prevalent group of purposes were academic and informative, recreational, social, and economic categories respectively. Moreover, the most significant influences belonged to the social group [positively], the academic and informative group (negatively), and the recreational group (positively) on SNS addiction respectively. The economic group of purposes did not have a significant influence on SNS addiction.ConclusionThis study has important implications for education and health providers, particularly in universities; we recommend that they try to improve students' mental health and academic performance by providing opportunities for them to improve their IT literacy and skills.
| S-EPMC8966315 | biostudies-literature
Project description:BackgroundMedical ethics education is crucial for preparing medical students to face ethical situations that can arise in patient care. Instances of ethics being integrated into biomedical science education to build the connection between human science and ethics is limited. The specific aim of this study was to measure student attitudes towards an innovative curriculum design that integrates ethics education directly into a biomedical science course in pre-clinical medical curriculum.MethodsIn this cross-sectional study, three ethics learning modules were designed and built in a biomedical science course in the pre-clinical curriculum. All students of Class of 2024 who were enrolled in the course in 2021 were included in the study. Each module integrated ethics with basic science topics and was delivered with different teaching modalities. The first module used a documentary about a well-known patient with severe combined immunodeficiency disease. The second module was delivered through a clinical scenario on HIV infection. The third module used small group discussion and debate on the topic of blood transfusion. For evaluation, students were asked to self-identify the ethical challenges associated with each module and complete reflective writing to assess their knowledge and attitude. Quantitative and qualitative analyses were conducted on student perceptions of each module.ResultsLikert scale ratings on the usefulness of each module revealed significantly higher ratings for the small group discussion/debate module, seconded by the documentary and lastly the case scenario only modules. Narrative analysis on student feedback revealed three themes: General favorable impression, Perceived learning outcomes, and Critiques and suggestion. Common and unique codes were identified to measure the strengths and weaknesses of each module. Overall, students' perception of the curriculum design was extremely positive.ConclusionsThis curriculum design enabled us to highlight foundational biomedical sciences and clinical conditions with ethical dilemmas that physicians are likely to face in practice. Students found value in the modules, with a preference for the most active learning method. This study provides insight on a novel approach for integrating medical ethics into biomedical science courses that can be tailored to any institution. Strategies learned include utilizing active learning modalities and discussion.
| S-EPMC9714188 | biostudies-literature
Project description:OBJECTIVES: Addiction to social networking sites (SNSs) is an international issue with numerous methods of measurement. The impact of such addictions among health science students is of particular concern. This study aimed to measure SNS addiction rates among health sciences students at Sultan Qaboos University (SQU) in Muscat, Oman. METHODS: In April 2014, an anonymous English-language six-item electronic self-reporting survey based on the Bergen Facebook Addiction Scale was administered to a non-random cohort of 141 medical and laboratory science students at SQU. The survey was used to measure usage of three SNSs: Facebook (Facebook Inc., Menlo Park, California, USA), YouTube (YouTube, San Bruno, California, USA) and Twitter (Twitter Inc., San Francisco, California, USA). Two sets of criteria were used to calculate addiction rates (a score of 3 on at least four survey items or a score of 3 on all six items). Work-related SNS usage was also measured. RESULTS: A total of 81 students completed the survey (response rate: 57.4%). Of the three SNSs, YouTube was most commonly used (100%), followed by Facebook (91.4%) and Twitter (70.4%). Usage and addiction rates varied significantly across the three SNSs. Addiction rates to Facebook, YouTube and Twitter, respectively, varied according to the criteria used (14.2%, 47.2% and 33.3% versus 6.3%, 13.8% and 12.8%). However, addiction rates decreased when work-related activity was taken into account. CONCLUSION: Rates of SNS addiction among this cohort indicate a need for intervention. Additionally, the results suggest that addiction to individual SNSs should be measured and that work-related activities should be taken into account during measurement.
| S-EPMC4554270 | biostudies-other
Project description:BackgroundOver 40% of Taiwanese College students experience sleep problems that not only impair their quality of life but also contribute to psychosomatic disorders. Of all the factors affecting the sleep quality, internet surfing is among one of the most prevalent. Female college students are more vulnerable to internet-associated sleep disorders than their male counterparts. Therefore, this study aims to investigate (1) the relationship between internet addiction and sleep quality, and (2) whether significant variations in sleep quality exist among students with different degrees of internet use.MethodsThis structured questionnaire-based cross-sectional study enrolled students from a technical institute in southern Taiwan. The questionnaire collected information on the following three aspects: (1) demography, (2) sleep quality with Pittsburgh Sleep Quality Index (PSQI), and (3) severity of internet addiction using a 20-item Internet Addiction Test (IAT). Multiple regression analysis was performed to examine the correlation between PSQI and IAT scores among the participants. Logistic analysis was used to determine the significance of association between PSQI and IAT scores.ResultsIn total, 503 female students were recruited (mean age 17.05 ± 1.34). After controlling for age, body mass index, smoking and drinking habits, religion, and habitual use of smartphone before sleep, internet addiction was found to be significantly associated with subjective sleep quality, sleep latency, sleep duration, sleep disturbance, use of sleep medication, and daytime dysfunction. Worse quality of sleep as reflected by PSQI was noted in students with moderate and severe degrees of internet addiction compared to those with mild or no internet addiction. Logistic regression analysis of the association between scores on IAT and sleep quality, demonstrated significant correlations between quality of sleep and total IAT scores (odds ratio = 1.05:1.03 ∼ 1.06, p < 0.01).ConclusionThe results of this study demonstrated significant negative association between the degree of internet addiction and sleep quality, providing reference for educational institutes to minimize adverse effects associated with internet use and improve students' sleep quality.
| S-EPMC6582255 | biostudies-literature