大学生网络疑病患病率及影响因素的横断面研究

Shameem R Kanganolli, N. Praveenkumar
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引用次数: 6

摘要

背景:互联网是有价值的医学信息的来源。然而,当它被用作一种诊断程序时,它有可能增加没有医学知识的个人的健康焦虑。这是一个令人担忧的话题,因为大量的人在网上搜索健康信息。目的:本研究的目的是(i)估计医本科生网络疑病症的患病率。(二)探讨医大学生网络疑病的影响因素。材料与方法:在2018年6月至2018年8月期间,对Shivamogga医学科学研究所的本科医科学生进行了横断面研究。选取136名医大学生,采用半结构式问卷收集资料。在MS Excel中建立数据库,使用SPSS v.20软件进行分析。计算频率、百分比等描述性统计,采用卡方检验。结果:网络疑病患病率为37.5%。网络疑病症在男性、24*7小时上网、夜间上网时间超过1小时、上网时间≤5年且每天上网时间≤6小时的研究对象中较多出现。上网疑病症与夜间上网有显著关联。结论:网络健康信息的过度搜索有可能在人群中传播威胁,可能导致健康焦虑的增加。我们可以通过提高公众对正确使用网络搜索引擎的认识来克服这个问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A cross-sectional study on prevalence of cyberchondria and factors influencing it among undergraduate students
Background: The internet is a source of valuable medical information. However, when it is employed as a diagnostic procedure, it has the potential to increase health anxiety among individuals who have no medical knowledge. This is a concerning subject as a large number of people search for health information online. Objectives: The objectives of the study were (i) to estimate the prevalence of cyberchondria among undergraduate medical students. (ii) To assess the factors influencing cyberchondria among undergraduate medical students. Materials and Methods: A cross-sectional study was conducted among undergraduate medical students of Shivamogga Institute of Medical Sciences, during June 2018–August 2018. One hundred and thirty-six undergraduate medical students were selected and data were collected using a semi-structured questionnaire. A database was created in MS Excel and analysis was done using SPSS software v.20. Descriptive statistics such as frequency and percentage were calculated and Chi-square test was used. Results: The prevalence of cyberchondria was found to be 37.5%. Cyberchondria was found to be more among males, study participants belonging to Class I according to the modified B G Prasad classification, those having 24*7 access to internet, those using internet for more than 1 h during the night, and those who were using internet for ≤5 years and for ≤6 h/day. Cyberchondria was significantly associated with the use of internet during the night. Conclusion: Excessive searching for health information online has the potential to spread threat among the people and it may lead to an increase in health anxiety. We can overcome this problem by creating awareness among the general public regarding proper usage of web search engines.
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