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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
The Lifeways Cross-Generation Study: design, recruitment and data management considerations
D O'Mahony1, U B Fallon, F Hannon
1UCD School of Public Health and Population Science. deirdre.omahony@ucd.ie
Irish Medical Journal
|October 25, 2007
Summary
The Lifeways Cross-Generation Cohort Study in Ireland tracks over 3,500 family participants. This unique longitudinal database collects extensive health data across multiple generations to understand family health patterns.
Area of Science:
- Public Health
- Epidemiology
- Genetics
Background:
- Established in 2001, the Lifeways Cross-Generation Cohort Study is Ireland's sole longitudinal family database.
- Recruited 1124 mothers during pregnancy (primarily in 2002), expanding to over 3,500 family participants.
- Addresses the absence of a unified national health information system in Ireland.
Purpose of the Study:
- To establish a comprehensive, multi-generational health database.
- To facilitate the tracking of family members and their health data over time.
- To support epidemiological and public health research in Ireland.
Main Methods:
- Collected baseline self-reported health data from mothers, fathers, and grandparents.
- Integrated clinical hospital data, General Practitioner follow-up data (3-year), and linked hospital/vaccination records.
- Utilized a relational database system for data coordination and participant tracking.
Main Results:
- The study has amassed a significant longitudinal dataset from over 3,500 individuals across multiple family members.
- Data collection spans baseline, 3-year follow-up, and ongoing 5-year parent follow-ups (through 2007).
- Demonstrates successful integration of diverse data sources in the absence of a national health registry.
Conclusions:
- The Lifeways study provides a valuable, unique resource for cross-generational health research in Ireland.
- The methodology developed can inform future large-scale cohort studies, particularly in data-scarce environments.
- The database supports ongoing investigations into family health trajectories and determinants.
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