Li Enguang, Ai Fangzhu, Liang Chunguang, Chen Qing, Zhao Ying, Xu Kaiyan, Kong Jie
Department of Nursing, Jinzhou Medical University, Jinzhou, China.
Front Psychiatry. 2024 Apr 26;15:1398669. doi: 10.3389/fpsyt.2024.1398669. eCollection 2024.
This study used latent profile analysis to explore the level of depression among US adults with obstructive sleep apnea hypopnea syndrome (OSAHS) symptoms and to identify different latent categories of depression to gain insight into the characteristic differences between these categories.
The data of this study were obtained from the National Health and Nutrition Examination Survey (NHANES) database, and the subjects with OSAHS symptoms were aged 18 years and older. The latent profile analysis (LPA) method was used to fit the latent depression categories in subjects with OSAHS symptoms. The chi-square test, rank sum test, and binary logistic regression were used to analyze the influencing factors of depression subgroups in subjects with OSAHS symptoms.
Three latent profiles were identified: low-level (83.7%), moderate-level (14.5%) and high-level (1.8%) depression. The scores of 9 items in the high-level depression group were higher than those in the other two groups. Among them, item 4 "feeling tired or lack of energy" had the highest score in all categories.
Depression in subjects with OSAHS symptoms can be divided into low-level, moderate-level and high-level depression. There are significant differences among different levels of depression in gender, marital status, PIR, BMI, smoking, general health condition, sleep duration and OSAHS symptom severity.
本研究采用潜在剖面分析方法，探讨有阻塞性睡眠呼吸暂停低通气综合征（OSAHS）症状的美国成年人的抑郁水平，并识别不同的潜在抑郁类别，以深入了解这些类别之间的特征差异。
本研究数据来自美国国家健康与营养检查调查（NHANES）数据库，研究对象为年龄在18岁及以上且有OSAHS症状的人群。采用潜在剖面分析（LPA）方法对有OSAHS症状的研究对象的潜在抑郁类别进行拟合。运用卡方检验、秩和检验及二元逻辑回归分析有OSAHS症状的研究对象抑郁亚组的影响因素。
识别出三种潜在剖面：低水平抑郁（83.7%）、中等水平抑郁（14.5%）和高水平抑郁（1.8%）。高水平抑郁组9个项目的得分高于其他两组。其中，项目4“感到疲倦或缺乏精力”在所有类别中的得分最高。
有OSAHS症状的研究对象的抑郁可分为低水平、中等水平和高水平抑郁。不同抑郁水平在性别、婚姻状况、贫困收入比、体重指数、吸烟情况、总体健康状况、睡眠时间和OSAHS症状严重程度方面存在显著差异。
