Comprehensive Covariate Collection for Research
Corresponding Organization : University Hospital Leipzig
Other organizations : Bengbu Medical College, RWTH Aachen University, Leipzig University, Second Hospital of Anhui Medical University, Anhui Medical University
Variable analysis
- Age (≤ 60 years and > 60 years)
- Sex (male/female)
- Race (non-Hispanic white people, non-Hispanic Black people, Mexican Americans, etc.)
- Educational level (less than grade 9, 9 − 11 grade/graduated from high school or equivalent and college graduated or above)
- Marriage (unmarried, married, separated, divorced, widowed and those living with partner/others)
- Family income
- Smoking status (never smoked, previously smoked, current smoker)
- Drinking status (non-drinkers, ever drinking in the last year, mild/moderate drinkers, heavy drinkers)
- Not explicitly mentioned
- Medical history and medication use were collected via family interviews and mobile examination centers using standardized questionnaires.
- None mentioned
- None mentioned
Annotations
Based on most similar protocols
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!