CanPath Baseline Health and Risk Factor Questionnaire Harmonization Protocol
Networks
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Variables
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The objective of the Baseline Health and Risk Factor Questionnaire Harmonization Protocol was to generate harmonized datasets across the population-based cohorts to address the research objective of the CanPath Harmonization Initiative.
- Version
- 7.1
- Number of Participants
- 327,630
- Approach
- Prospective
- Type
- Quantitative
- Procedures
- Harmonized data is generated by a central harmonization team (with the collaboration of studies).
- Participant Inclusion
- All CanPath participants from cohorts collecting data on health and risk factors at baseline are eligible.
- Infrastructure
- Harmonized data can be transferred to external servers, and pooled data analysis can be achieved.
Information Content
The Baseline Health and Risk Factor Questionnaire Harmonization Protocol includes variables collected at baseline by five of the six CanPath population-based cohorts. The current dataset is the seventh release and includes 935 core variables.
The harmonized dataset covers information on participants':
* Socio-demographic and economic characteristics (ethnic background, education level, employment status and other job-related information, income, etc.)
* Lifestyle and behaviours (alcohol use, tobacco use, diet and nutrition, sleep patterns, physical activity (IPAQ))
* 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)
* Physical environment exposures (passive smoke exposure, sun exposure)
* Variables based on open-ended responses
Studies Included
| Study | Population | Data Collection Event |
|---|---|---|
| Atlantic PATH | ||
| ATP | ||
| BCGP | ||
| CaG | ||
| OHS |
Initiatives Included
Harmonization
- Complete - study-specific variable is the same as DataSchema variable (status detail = identical) or needs transformation to generate DataSchema variable (status detail = compatible)
- Partial - categorical study-specific variable (status detail = proximate) or other types (status detail = tentative) could generate DataSchema variable but with loss of information
- Impossible - study does not collect DataSchema variable (status detail = unavailable) or cannot be used to generate DataSchema variable (status detail = incompatible)
- Undetermined - harmonization status not determined
- Not Applicable - harmonization status is not relevant