CanPath Follow-up 1 Health and Risk Factor Questionnaire Harmonization Protocol
The objective of the CanPath follow-up 1 health and risk factor questionnaire harmonization protocol was to evaluate the harmonization potential of five population-based cohorts to address the research objective of CanPath Harmonization Initiative.
Overview
- Harmonization Initiative
- CORE
- Harmonization Protocol
- CANPATH-F1-HRFQ-HP
- Version
- 3.0
- Number of Variables
Design
- Type
- Quantitative
- Approach
- Prospective
- Procedures
- Harmonized data is generated by a central harmonization team (with the collaboration of studies).
- Infrastructure
- Harmonized data can be transferred to external servers, and pooled data analysis can be achieved.
- Participant Inclusion
- All CanPath participants from cohorts collecting data on health and risk factor at follow-up 1 are eligible
- Number of Participants
- 134,490
Information Content
The follow-up 1 health and risk factor questionnaire harmonization protocol includes variables on health and risk factors collected in the first follow-up by the five population-based cohorts. The current dataset is the second release and includes 858 core variables.
The harmonized dataset covers information on participants':
- Socio-demographic and economic characteristics (marital status, employment status, income, etc.)
- Lifestyle and behaviours (alcohol use, tobacco use)
- Reproductive health history
- Personal and family history of diseases
- Use of prescription medications (medication name, DIN number, ATC code of medication, main anatomical group pertaining to medication)
- Non-pharmacological interventions related to diseases
- Self-reported physical measures (height, weight, waist and hip circumferences)
- Variables based on open-ended responses
Participating Studies
| Acronym | Name | Study design | Participants | Countries |
|---|
Harmonization Projects Included
| Acronym | Name |
|---|
Harmonization
Click on each status icon to get more details on the corresponding harmonization results:
- Complete - study-specific variable is the same as DataSchema variable or needs transformation to generate DataSchema variable
- Partial - categorical study-specific variable or other types could generate DataSchema variable but with loss of information
- Impossible - study does not collect DataSchema variable or cannot be used to generate DataSchema variable
- Not Applicable - harmonization status is not relevant
- Undetermined - harmonization status not determined
Last Update: 2023-04-06T08:58:13.618