The Effect of Anti-Stigma Campaign to Depressive Disorders on Instagram towards Students’ Anxiety Attitude

Cecilia Liusca Winata, B. B. Pratamawaty
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Abstract

Digital activism has rapidly developed thanks to technological advancements, including campaigns that utilize media to address the stigma surrounding mental illness. These anti-stigma campaigns aim to reduce stigma and raise awareness about mental health. According to the WHO, depression is a common mental disorder that is associated with high rates of suicide. This study aimed to determine the effect of an anti-stigma campaign for depressive disorders on Instagram on students' anxiety attitudes using quantitative method. The presence or absence of feelings of anxiety, nervousness, anxiety, and fear of physical danger when around people with depressive disorders was used to assess anxiety attitudes. The researcher collected data by distributing questionnaires online via Google Form to respondents who met the criteria they set. The population used in this study consisted of active students aged above 18 years residing in Java Island, and the sample size for this research was 383 individuals determined using convenience sampling technique. The data from respondents was analyzed using the IBM Statistical Package for Social Sciences (SPSS) version 26 software and a simple linear regression analysis. According to the research findings, the anti-stigma campaign for depressive disorders had no significant influence on students' anxiety attitudes.
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Instagram上抑郁症反污名化运动对学生焦虑态度的影响
由于技术的进步,数字行动主义迅速发展,包括利用媒体解决围绕精神疾病的耻辱的运动。这些反污名运动旨在减少污名并提高对精神卫生的认识。据世界卫生组织称,抑郁症是一种常见的精神障碍,与高自杀率有关。本研究旨在通过定量方法确定Instagram上的抑郁症反污名运动对学生焦虑态度的影响。当与抑郁症患者在一起时,焦虑、紧张、焦虑和对身体危险的恐惧的存在或不存在被用来评估焦虑态度。研究人员通过谷歌表格向符合他们设定的标准的受访者发放在线调查问卷来收集数据。本研究使用的人群为居住在爪哇岛的18岁以上的活跃学生,本研究的样本量为383人,采用方便抽样技术确定。使用IBM社会科学统计软件包(SPSS)第26版软件和简单的线性回归分析对受访者的数据进行分析。研究发现,抑郁症反污名运动对学生的焦虑态度没有显著影响。
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