医学生智能手机成瘾与压力、生活满意度的关系

A. Eisanazar, K. Najafi, Amin Mohammadi, Casra Sarlak, N. Mirfarhadi
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摘要

背景:学生作为新技术的第一批使用者,比社会上的其他群体更容易受到智能手机成瘾的影响,从而产生诸如生物心理和学术条件等问题。目的:探讨桂兰医科大学医学生智能手机成瘾与压力、生活满意度的关系。方法:采用横断面研究方法,对伊朗桂兰大学医学院2020年实习生和实习生331名医学生进行研究。使用基于网络的问卷来收集必要的数据。个人及社会信息(年龄、性别、学习成绩;学业成绩、居住地、婚姻状况、教育程度)、智能手机成瘾量表(SAS)、感知压力量表(PSS;Cohen et al ., 1983)和生活满意度量表(SWLS)由研究志愿者完成。将这些信息输入SPSS。统计学分析采用描述性统计和推理统计(Pearson相关系数、独立样本t检验和多元线性回归分析)。结果:智能手机成瘾与压力(P=0.01, r=0.65)、生活满意度(P=0.01, r=-0.58)呈正相关。智能手机成瘾得分、压力和生活满意度受到人口统计学变量的影响。多重分析结果表明,压力(β=0.52)和生活满意度(β=-0.34)分别解释了57%的智能手机成瘾方差(P<0.001)。结论:医学生智能手机成瘾的增加与感知压力的增加和生活满意度的降低有关。这一发现可以为政策制定者提供有用的见解,以了解智能手机成瘾对学生的心理影响。
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Relationship Between Smartphone Addiction and Stress and Life Satisfaction in Medical Students
Background: Students, as the first adopters of new technologies are more exposed to smartphone addiction than other groups in society, and consequently problems, such as biopsychological and academic conditions. Objective: This study aimed to explore the relationship between smartphone addiction and stress and life satisfaction in the medical students of Guilan University of Medical Sciences. Methods: The present cross-sectional study was performed on 331 medical students in the intern and trainee of the Faculty of Medicine of the University of Guilan province, Iran, in 2020. Web-Based questionnaires were used to collect the necessary data. The personal and social information (age, gender, academic performance; grade point average, the place of residence, marital status, & educational level) and Smartphone addiction scale (SAS), Perceived Stress Scale (PSS; Cohen et al, 1983), and the Satisfaction With Life Scale (SWLS) were completed by the study volunteers. The information was entered into SPSS. Descriptive statistics and inferential statistics (Pearson correlation coefficient, Independent Samples t-test, and multiple linear regression analysis) were used in statistical analysis. Results: The present research results suggested that smartphone addiction was positively correlated with stress (P=0.01, r=0.65) and life satisfaction (P=0.01, r=-0.58). Smartphone addiction scores, stress, and life satisfaction were influenced by demographic variables. The results of multiple analyses indicated that stress (β=0.52) and life satisfaction (β=-0.34), respectively, significantly explained 57% of the variance of smartphone addiction (P<0.001). Conclusion: The increase in smartphone addiction was associated with more perceived stress and lower life satisfaction among medical students. This finding can provide useful insights for policymakers about the psychological effects of smartphone addiction on students.
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