Title
Perspective: Essential study quality descriptors for data from nutritional epidemiologic research
Author
Yang, C.
Pinart, M.
Kolsteren, P.
van Camp, J.
de Cock, N.
Nimptsch, K.
Pischon, T.
Laird, E.
Perozzi, G.
Canali, R.
Hoge, A.
Stelmach-Mardas, M.
Dragsted, L.O.
Palombi, S.M.
Dobre, I.
Bouwman, J.
Clarys, P.
Minervini, F.
de Angelis, M.
Gobbetti, M.
Tafforeau, J.
Coltell, O.
Corella, D.
de Ruyck, H.
Walton, J.
Kehoe, L.
Matthys, C.
de Baets, B.
de Tré, G.
Bronselaer, A.
Rivellese, A.
Giacco, R.
Lombardo, R.
de Clercq, S.
Hulstaert, N.
Lachat, C.
Publication year
2017
Abstract
Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. First, a literature review was performed to get an insight on existing instruments that assess the quality of cohort, case-control, and cross-sectional studies and dietary measurement. Second, 2 face-to-face workshops were organized to determine the study characteristics that affect data quality. Third, consensus on the data descriptors and controlled vocabulary was obtained. From 4884 papers retrieved, 26 relevant instruments, containing 164 characteristics for study design and 93 characteristics for measurements, were selected. The workshop and consensus process resulted in 10 descriptors allocated to "study design" and 22 to "measurement" domains. Data descriptors were organized as an ordinal scale of items to facilitate the identification, storage, and querying of nutrition data. Further integration of an Ontology for Nutrition Studies will facilitate interoperability of data repositories. © 2017 American Society for Nutrition.
Subject
ELSS - Earth, Life and Social Sciences
Life
Healthy Living
Biomedical Innovation
Data interoperability
Data quality
Dietary assessment
Nutritional epidemiology
Observational study
Consensus
Controlled vocabulary
Cross-sectional study
Human
Meta analysis
Nutritional assessment
Ontology
Storage
Study design
Systematic review
MSB - Microbiology and Systems Biology
To reference this document use:
http://resolver.tudelft.nl/uuid:632f736f-3530-418e-b806-246ec394d155
DOI
https://doi.org/10.3945/an.117.015651
TNO identifier
781412
ISSN
2161-8313
Source
Advances in Nutrition, 8 (8), 639-651
Document type
article