Department of Oto-Rhino-Laryngology and Head & Neck Surgery, Faculty of Medicine, Süleyman Demirel University, Isparta, Turkey.
Department of Child and Adolescent Psychiatry, Faculty of Medicine, Süleyman Demirel University, Isparta, Turkey.
Noise Health. 2022 Jan-Mar;24(112):13-19. doi: 10.4103/nah.nah_75_21.
There may be a connection between tinnitus, a common disease in society, and psychiatric disorders. When the literature is reviewed, it has been realized that more data are needed to elucidate this issue.
The aim of this study is to compare the symptoms of anxiety sensitivity, anxiety, depression, and attention-deficit/hyperactivity disorder (ADHD) symptoms in patients with tinnitus with healthy individuals and to investigate the relationship between tinnitus and psychiatric disorder symptoms.
This study was designed as a case-control study.
Fifty-one patients with tinnitus and 51 healthy controls were enrolled in this study. Clinical severity of the psychiatric variables were evaluated by Beck depression inventory, Beck anxiety inventory (BAI), anxiety sensitivity index-3, and adult ADHD self-report scale (ASRS) in patient and control groups.
Variables are presented as either a number, a percentage, a mean ± standard deviation, or frequency. Chi-squared, Student t tests, and logistic regression analysis were used to examine the relationship between variables.
Logistic regression analysis results indicated that a significant predictive power of BAI for the presence of tinnitus. Based on a backward-elimination regression analysis, ASRSs (inattention subscale scores) were considered to predict a higher tinnitus handicap inventory score.
These findings provide additional evidence that anxiety and attention-deficit (inattentive) symptoms could contribute to the pathophysiology of tinnitus.
耳鸣是一种常见的社会疾病,它可能与精神障碍有关。当对文献进行回顾时,人们意识到需要更多的数据来阐明这个问题。
本研究旨在比较耳鸣患者与健康个体的焦虑敏感、焦虑、抑郁和注意缺陷多动障碍(ADHD)症状,并探讨耳鸣与精神障碍症状之间的关系。
本研究设计为病例对照研究。
本研究纳入了 51 例耳鸣患者和 51 例健康对照者。通过贝克抑郁量表、贝克焦虑量表(BAI)、焦虑敏感指数-3 和成人 ADHD 自我报告量表(ASRS)对患者和对照组的精神变量的临床严重程度进行评估。
变量以数字、百分比、平均值±标准差或频率表示。采用卡方检验、学生 t 检验和逻辑回归分析来检验变量之间的关系。
逻辑回归分析结果表明,BAI 对耳鸣的存在具有显著的预测能力。基于向后消除回归分析,ASRS(注意力不集中分量表得分)被认为可以预测更高的耳鸣残疾量表评分。
这些发现提供了额外的证据,表明焦虑和注意力缺陷(注意力不集中)症状可能导致耳鸣的病理生理学变化。