European Project on Osteoarthritis (EPOSA): methodological challenges in harmonization of existing data from five European population-based cohorts on aging

Schaap, Laura A., Peeters, Geeske M. E. E., Dennison, Elaine M., Zambon, Sabina, Nikolaus, Thorsten, Sanchez-Martinez, Mercedes, Musacchio, Estella, van Schoor, Natasja M., Deeg, Dorly J. H. and for The EPOSA research group (2011) European Project on Osteoarthritis (EPOSA): methodological challenges in harmonization of existing data from five European population-based cohorts on aging. BMC Musculoskeletal Disorders, 12 272.1-272.12. doi:10.1186/1471-2474-12-272


Author Schaap, Laura A.
Peeters, Geeske M. E. E.
Dennison, Elaine M.
Zambon, Sabina
Nikolaus, Thorsten
Sanchez-Martinez, Mercedes
Musacchio, Estella
van Schoor, Natasja M.
Deeg, Dorly J. H.
for The EPOSA research group
Title European Project on Osteoarthritis (EPOSA): methodological challenges in harmonization of existing data from five European population-based cohorts on aging
Journal name BMC Musculoskeletal Disorders   Check publisher's open access policy
ISSN 1471-2474
Publication date 2011-11
Sub-type Article (original research)
DOI 10.1186/1471-2474-12-272
Open Access Status DOI
Volume 12
Start page 272.1
End page 272.12
Total pages 12
Place of publication London, United Kingdom
Publisher BioMed Central
Collection year 2012
Language eng
Formatted abstract
Background: The European Project on OSteoArthritis (EPOSA), here presented for the first time, is a collaborative study involving five European cohort studies on aging. This project focuses on the personal and societal burden and its determinants of osteoarthritis (OA). The aim of the current report is to describe the purpose of the project, the post harmonization of the cross-national data and methodological challenges related to the harmonization process
Methods: The study includes data from cohort studies in five European countries (Germany, Italy, the Netherlands, Spain and the United Kingdom) on older community-dwelling persons aged ≥ 59 years. The study design and main characteristics of the five cohort studies are described. Post harmonization algorithms are developed by finding a "common denominator" to merge the datasets and weights are calculated to adjust for differences in age and sex distribution across the datasets.
Results: A harmonized database was developed, consisting of merged data from all participating countries. In total, 10107 persons are included in the harmonized dataset with a mean age of 72.8 years (SD 6.1). The female/male ratio is 53.3/46.7%. Some variables were difficult to harmonize due to differences in wording and categories, differences in classifications and absence of data in some countries. The post harmonization algorithms are described in detail in harmonization guidelines attached to this paper.
Conclusions: There was little evidence of agreement on the use of several core data collection instruments, in particular on the measurement of OA. The heterogeneity of OA definitions hampers comparing prevalence rates of OA, but other research questions can be investigated using high quality harmonized data. By publishing the harmonization guidelines, insight is given into (the interpretation of) all post harmonized data of the EPOSA study.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article # 272

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
School of Human Movement and Nutrition Sciences Publications
 
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