Li Teng-Fei, Cha Xu-Dong, Wang Tian-Yu, Liang Cai-Quan, Li Feng-Zhen, Wang Sheng-Lei, Peng Hu, Ren Wen-Wen, Deng Yue, Liu Huan-Hai
Department of Otorhinolaryngology, Changzheng Hospital Naval Medical University (Second Military Medical University) Shanghai China.
World J Otorhinolaryngol Head Neck Surg. 2024 Feb 3;10(3):173-179. doi: 10.1002/wjo2.151. eCollection 2024 Sep.
To identify factors that influence the severity of tinnitus via a hierarchical multiple linear regression model.
The study was a retrospective cross-sectional analysis. The study included 331 patients experiencing tinnitus as their primary concern, who visited Shanghai Changzheng Hospital of the Navy Medical University between 2019 and 2021. Data on general health status and disease characteristics were collected from all patients. With their consent, participants underwent audiological evaluatons and completed questionnaires to analyze the characteristics of their tinnitus and the factors influencing its severity.
The correlation analysis showed a positive relationship between tinnitus frequency, tinnitus loudness, SAS scores, and PSQI scores with THI scores ( < 0.05) among nine examined variables (gender, handedness, employment status, age, BMI, tinnitus frequency, tinnitus loudness, SAS scores, and PSQI scores). The variables that were extracted from the multiple regression were; for the constant; = -51.797, = -4.484, < 0.001, variable is significant; for the tinnitus loudness; = 0.161, = 2.604, < 0.05, variable is significant; for the tinnitus frequency; = 0.000, = 1.269, = 0.206, variable is not significant; for the SAS scores; = 1.310, = 7.685, < 0.001, variable is significant; for the PSQI scores; = 1.680, = 5.433, < 0.001, variable is significant. Therefore, the most accurate model for predicting severity in tinnitus patients is a linear combination of the constant, tinnitus loudness, SAS scores, and PSQI scores, () = + + . , , , and are -51.797, 0.161, 1.310 and 1.680, respectively.
Tinnitus severity is positively associated with loudness, anxiety levels, and sleep quality. To effectively manage tinnitus in patients, it is essential to promptly identify and address these accompanying factors and related symptoms.
通过分层多元线性回归模型确定影响耳鸣严重程度的因素。
本研究为回顾性横断面分析。研究纳入了331例以耳鸣为主要诉求的患者，这些患者于2019年至2021年间就诊于海军军医大学附属上海长征医院。收集了所有患者的一般健康状况和疾病特征数据。在患者同意的情况下，对其进行了听力学评估，并完成了问卷以分析耳鸣的特征及影响其严重程度的因素。
相关性分析显示，在九个检查变量（性别、利手、就业状况、年龄、体重指数、耳鸣频率、耳鸣响度、SAS评分和PSQI评分）中，耳鸣频率、耳鸣响度、SAS评分和PSQI评分与THI评分之间呈正相关（<0.05）。多元回归提取的变量为：常数项，=-51.797，=-4.484，<0.001，变量显著；耳鸣响度，=0.161，=2.604，<0.05，变量显著；耳鸣频率，=0.000，=1.269，=0.206，变量不显著；SAS评分，=1.310，=7.685，<0.001，变量显著；PSQI评分，=1.680，=5.433，<0.001，变量显著。因此，预测耳鸣患者严重程度的最准确模型是常数项、耳鸣响度、SAS评分和PSQI评分的线性组合，（）=+++。、、、分别为-51.797、0.161、1.310和1.680。
耳鸣严重程度与响度、焦虑水平和睡眠质量呈正相关。为有效管理患者的耳鸣，必须及时识别并处理这些伴随因素及相关症状。
