A Cross-Sectional Analysis of Muscular and Joint Symptoms in COVID-19 Patients: Insights From Syria
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 1,039
- 试验地点
- 1
- 主要终点
- The Demographic characteristics were classified into four groups: Gender, Residual area, education level.
研究概览
简要总结
Observation study, shows the relation between musckeloskeletal symptoms with during and post Covid-19 infection, by asking participants questions about there age,job,which vaccination covid participants took, residual area, social status, number of time of covid-19 infection, number of joint affected and duration of joint pain and asking if there any malaise or fatigue
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 78 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Participants aged ≥ 18 years with a prior COVID-19 infection or suspicious COVID-19 infection and currently residing in Damascus.
排除标准
- •Participants below 18 years, those unwilling to give consent, individuals with joint surgery history, pregnant women, or those who had taken immunosuppressive drugs before the study.
结局指标
主要结局
The Demographic characteristics were classified into four groups: Gender, Residual area, education level.
时间窗: The study took 6 months to finish it with hard work, it was hard to reach our participants so we didn't only collect our data from google form we also colleted our data from Al-Mouassa University Hospital outpatients clinics and Damascus University
Gender was either male or female. Residual area was divided into tow categories: Rural or City. Social status were divided into four types: Single, Married, Divorced, Widow .
次要结局
未报告次要终点
研究者
Mohamad Zaid Mohamad Samer Ahmad Abdalla
Dr in Damascus university in general internal medicine
Syrian Private University