Prevalence and Associated Risk Factors of Tendency to Suicide as a Sequel of Computer Vision Syndrome Among Medical Students in Egypt
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 3,512
- 试验地点
- 1
- 主要终点
- Depression
研究概览
简要总结
CVS-F4 questionnaire will be used as an instrument to survey prevalence of tendency to suicide among medical students in the Egyptian Universities and analyse associated risk factors and any correlated determents
详细描述
CVS-F4 (30 questions) will be an online survey via the SurveyMonkey Company. We will collect the responses and analyze the results. Informed consent will be obtained from the participants as an item within the survey itself that he/she agrees to use his/her data in this research work. The questionnaire includes questions regarding potential ocular, extra-ocular, musclo-skeletal and neuro-psychatric complains caused by CVS. CVS-F4 questionnaire will be used as an instrument to survey prevalence of tendency to suicide among medical students in the Egyptian Universities and analyse associated risk factors and any correlated determents Complete statistical analysis of the survey data will be done using univariate and multivariate logistic and linear regression analysis.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 16 Years 至 —（Child, Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •university students
- •university staff members
排除标准
- •ocular surgery
- •amblyopia
- •anisometropia
- •strabismus
- •systemic disease
结局指标
主要结局
Depression
时间窗: 3 months
The participants will respond to Computer Vision Syndrome (CVS-F4) questionnaire and the number and percentages of participants suffering from tendency to suicide and depression will be recorded. A correlation between depression and tendency to suicide will be measured as P value less than 0.05 will be significant
Tendency to suicide
时间窗: 3 months
The participants will respond to Computer Vision Syndrome (CVS-F4) questionnaire and the number and percentage of participants suffering from tendency to suicide will be recorded
Screen-time
时间窗: 3 months
The total daily average screen-hours will be measured using mean and standard deviation
次要结局
未报告次要终点
研究者
Prof. Mohammed Iqbal
Professor of Ophthalmology
Sohag University