Last updated on 23-8-2019 by Anonymous (not verified)
Peer reviewed scientific article
SCIENSANO
Authors
Yang, Chen; Pinart, Mariona; Kolsteren, Patrick; Van Camp, John; De Cock, Nathalie; Nimptsch, Katharina; Pischon, Tobias; Laird, Eamon; Perozzi, Giuditta; Canali, Raffaella; Hoge, Axelle; Stelmach-Mardas, Marta; Dragsted, Lars Ove; Palombi, Stéphanie Maria; Dobre, Irina; Bouwman, Jildau; Clarys, Peter; Minervini, Fabio; De Angelis, Maria; Gobbetti, Marco; Jean Tafforeau; Coltell, Oscar; Corella, Dolores; De Ruyck, Hendrik; Walton, Janette; Kehoe, Laura; Matthys, Christophe; De Baets, Bernard; De Tré, Guy; Bronselaer, Antoon; Rivellese, Angela; Giacco Rosalba; Lombardo, Rosario; De Clercq, Sofian; Hulstaert, Niels; Lachat, CarlKeywords
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…