Department of Statistics, College of Natural and Computational Science, Madda Walabu University, Bale-Robe, Oromia, Ethiopia.
Department of Statistics, College of Natural Science, Jimma University, Jimma, Oromia, Ethiopia.
BMC Psychiatry. 2023 Jan 13;23(1):37. doi: 10.1186/s12888-022-04443-8.
Major Depressive Disorder is one of the most common mental disorders, and it is the main cause of disability worldwide with a prevalence ranging from 7 to 21%.
The goal of this study was to predict the time it took for patients with severe depressive disorders at Jimma University Medical Center to experience their initial symptomatic recovery.
The researchers utilized a prospective study design.
Patients with major depressive disorder were followed up on at Jimma University Medical Center from September 2018 to August 2020 for this study. The Gamma and Inverse Gaussian frailty distributions were employed with Weibull, Log-logistic, and Log-normal as baseline hazard functions. Akaike Information Criteria were used to choose the best model for describing the data.
This study comprised 366 patients, with 54.1% of them experiencing their first symptomatic recovery from a severe depressive disorder. The median time from the onset of symptoms to symptomatic recovery was 7 months. In the study area, there was a clustering effect in terms of time to first symptomatic recovery from major depressive disorder. According to the Log-normal Inverse-Gaussian frailty model, marital status, chewing khat, educational status, work status, substance addiction, and other co-variables were significant predictors of major depressive disorder (p-value < 0.05).
The best model for describing the time to the first symptomatic recovery of major depressive disorder is the log-normal Inverse-Gaussian frailty model. Being educated and working considerably were the variables that reduces the time to first symptomatic recovery from major depressive disorder; whereas being divorced, chewing khat, substance abused and other co-factors were the variables that significantly extends the time to first symptomatic recovery.
重度抑郁症是最常见的精神障碍之一，也是全球范围内导致残疾的主要原因，其患病率在 7%至 21%之间。
本研究旨在预测吉姆马大学医学中心重度抑郁症患者首次出现症状缓解所需的时间。
研究人员采用前瞻性研究设计。
本研究于 2018 年 9 月至 2020 年 8 月在吉姆马大学医学中心对重度抑郁症患者进行了随访。使用伽马和逆高斯脆弱分布，以及威布尔、对数逻辑和对数正态作为基线危险函数。采用赤池信息量准则选择最佳模型来描述数据。
本研究共纳入 366 例患者，其中 54.1%的患者首次出现重度抑郁症症状缓解。从症状出现到症状缓解的中位数时间为 7 个月。在研究区域，重度抑郁症首次出现症状缓解的时间存在聚类效应。根据对数正态逆高斯脆弱模型，婚姻状况、咀嚼恰特草、教育程度、工作状态、物质成瘾和其他协变量是重度抑郁症的显著预测因素（p 值<0.05）。
描述重度抑郁症首次出现症状缓解时间的最佳模型是对数正态逆高斯脆弱模型。受教育程度和工作状态是缩短首次出现症状缓解时间的因素；而离婚、咀嚼恰特草、物质滥用和其他协变量则显著延长了首次出现症状缓解的时间。
