Epidemiology of Mental Disorder Symptoms in Students of University of Bojnord: The Role of Demographic Characteristics and Cognitive Emotion Regulation Strategies

K. Alavi
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Abstract

Background and aims: Mental health problems are considered as important public health issues. This study aimed, firstly, to investigate the epidemiology of mental disorders’ symptoms among the students of Bojnord University and examine the role of demographic characteristics in the prevalence of the given symptoms; and, secondly, to explore and compare the predictive role of adaptive and maladaptive emotion regulation strategies in identifying symptoms of different mental disorders. Methods: A total of 351 students from Bojnord University completing their 2018-2019 academic year were recruited using cluster sampling method and responded to Symptom Checklist-SCL90 and Cognitive Emotion Regulation Questionnaire. Data were analyzed using descriptive statistics including mean, standard deviation, frequency and percentage, as well as multiple regression analysis. Results: According to the findings from this epidemiological study, 33% of the students suffered from moderate symptoms of mental disorders, while 14% of them suffered from severe symptoms. Demographic characteristics of gender, marital status, and place of origin (i.e., being indigenous/non-indigenous) were not found to exert a significant effect on the prevalence of symptoms of mental disorders. The results of multiple regression analysis also indicated that cognitive emotion regulation strategies were capable of predicting all nine dimensions of mental disorder symptoms. In this regard, the maladaptive strategies were discovered to play a stronger role in predicting mental disorders compared to adaptive strategies. Conclusions: Mental disorders were very common among university students. No significant relationship was detected between the prevalence of mental disorders’ symptoms and gender, marital status, and place of origin. The study findings were also found to support the trans-diagnostic role of the emotion regulation in mental disorders.
博福德大学学生心理障碍症状的流行病学:人口学特征和认知情绪调节策略的作用
背景和目的:心理健康问题被认为是重要的公共卫生问题。本研究旨在,首先,调查博诺大学学生中精神障碍症状的流行病学,并检验人口统计学特征在特定症状流行中的作用;其次,探讨和比较适应和不适应情绪调节策略在识别不同精神障碍症状中的预测作用。方法:采用整群抽样方法,共招募了351名完成2018-2019学年的博诺大学学生,并对其进行症状清单-SCL90和认知情绪调节问卷调查。数据分析采用描述性统计,包括平均值、标准差、频率和百分比,以及多元回归分析。结果:根据这项流行病学研究的结果,33%的学生患有中度精神障碍症状,14%的学生患有严重症状。没有发现性别、婚姻状况和原籍(即土著/非土著)的人口统计学特征对精神障碍症状的患病率产生显著影响。多元回归分析结果还表明,认知情绪调节策略能够预测精神障碍症状的所有九个维度。在这方面,研究发现,与适应策略相比,适应不良策略在预测精神障碍方面发挥着更强的作用。结论:大学生普遍存在心理障碍。精神障碍症状的患病率与性别、婚姻状况和出生地之间没有显著关系。研究结果也支持情绪调节在精神障碍中的跨诊断作用。
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