在 COVID-19 时代,沉迷于社交网络对人类医学学生心理健康的影响

Fiorella Otero Carrillo, Pamela Rocio Picoy Romero, Rubén Espinoza Rojas, Jhonny De La Cruz Vargas
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摘要

目的确定里卡多-帕尔马大学(Ricardo Palma University)2021 届人类医学专业学生沉迷社交网络与心理健康后果之间的关联。材料和方法横断面观察研究,454 名一年级至五年级的人类医学专业学生参与了研究。研究工具经过验证,获得了 Cronbach's Alpha(α=0.90),使用的问卷包括使用的问卷包括:社交网络成瘾(ARS)、抑郁、焦虑、压力量表(DASS-21)和匹兹堡睡眠质量指数(PSQI)。为了评估变量之间的关联,我们使用了粗略和调整后的流行率(PR),使用了对数连接的泊松回归模型,并使用了 95% 的置信区间。结果显示65.4%的患者为女性,平均年龄为 21.2 岁。研究发现,社交网络成瘾程度高与心理健康之间存在明显联系(PRc:2.59;95% CI:1.92-3.50;P:0.000),同样,社交网络成瘾程度高与社交网络成瘾程度中等之间也存在明显联系,社交网络成瘾程度高分别与抑郁、焦虑、压力(P:0.000)和睡眠质量(P<0.010)有关。分别有 41%、49.1% 和 9.9%的学生表现出低、中和高社交网络成瘾水平。57.5%的学生患有抑郁症,56.4%的学生焦虑,70.5%的学生压力大,77.3%的学生睡眠质量差。结论ARS 与心理健康之间存在密切联系。因此,建议大学生每季度到心理健康专科就诊,以正确识别、评估和处理 ARS 带来的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IMPACT OF ADDICTION TO SOCIAL NETWORKS ON THE MENTAL HEALTH OF HUMAN MEDICINE STUDENTS, IN TIMES OF COVID-19
Objective. To determine the association of addiction to social networks and the consequences in mental health in human medicine students of the Ricardo Palma University, year 2021. Materials and methods. Cross-sectional observational study, with the participation of 454 human medicine students from first to fifth year, chosen by stratified random sampling proportional to size. The instrument was validated, obtaining a Cronbach's Alpha (α=0.90), the questionnaires used were: Addiction to Social Networks (ARS), Depression, Anxiety, Stress Scale (DASS-21) and Pittsburgh Sleep Quality Index (PSQI). In order to evaluate the association between variables, we used crude and adjusted prevalence ratio (PR), using the Poisson regression model with the logarithmic link and with the 95% confidence interval. Results. 65.4% were women, with an average age of 21.2 years. A significant association was found between high social network addiction and mental health (PRc: 2.59; 95% CI: 1.92-3.50; p: 0.000) and, likewise, between high and medium levels of social network addiction. social and with depression, anxiety, stress (p: 0.000) and sleep quality (p<0.010), respectively. 41%, 49.1% and 9.9% of the students presented low, medium and high addiction to social networks, respectively. 57.5% had depression, 56.4% anxiety, 70.5% stress and 77.3% poor sleep quality. Conclusions. There was a strong association between ARS and mental health. Therefore, it is recommended that university students visit mental health specialists quarterly for proper identification, evaluation, and management of the problems generated by ARS.
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