Perspective: Essential study quality descriptors for data from nutritional epidemiologic research
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Perspective : Essential study quality descriptors for data from nutritional epidemiologic research. / 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; Tafforeau, Jean; 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, Carl.
In: Advances in Nutrition, Vol. 8, No. 5, 2017, p. 639-651.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Perspective
T2 - Essential study quality descriptors for data from nutritional epidemiologic research
AU - Yang, Chen
AU - Pinart, Mariona
AU - Kolsteren, Patrick
AU - Van Camp, John
AU - De Cock, Nathalie
AU - Nimptsch, Katharina
AU - Pischon, Tobias
AU - Laird, Eamon
AU - Perozzi, Giuditta
AU - Canali, Raffaella
AU - Hoge, Axelle
AU - Stelmach-Mardas, Marta
AU - Dragsted, Lars Ove
AU - Palombi, Stéphanie Maria
AU - Dobre, Irina
AU - Bouwman, Jildau
AU - Clarys, Peter
AU - Minervini, Fabio
AU - De Angelis, Maria
AU - Gobbetti, Marco
AU - Tafforeau, Jean
AU - Coltell, Oscar
AU - Corella, Dolores
AU - De Ruyck, Hendrik
AU - Walton, Janette
AU - Kehoe, Laura
AU - Matthys, Christophe
AU - De Baets, Bernard
AU - De Tré, Guy
AU - Bronselaer, Antoon
AU - Rivellese, Angela
AU - Giacco, Rosalba
AU - Lombardo, Rosario
AU - De Clercq, Sofian
AU - Hulstaert, Niels
AU - Lachat, Carl
N1 - CURIS 2017 NEXS 248
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Data quality
KW - Observational study
KW - Dietary assessment
KW - Nutritional epidemiology
KW - Data interoperability
U2 - 10.3945/an.117.015651
DO - 10.3945/an.117.015651
M3 - Journal article
C2 - 28916566
VL - 8
SP - 639
EP - 651
JO - Advances in Nutrition
JF - Advances in Nutrition
SN - 2161-8313
IS - 5
ER -
ID: 183575672