Home |  English version |  Mappa |  Commenti |  Sondaggio |  Staff |  Contattaci Cerca nel sito  
Istituto di scienza dell'alimentazione

Torna all'elenco Contributi in rivista anno 2017

Contributo in rivista

Tipo: Articolo in rivista

Titolo: Perspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research

Anno di pubblicazione: 2017

Formato: Elettronico

Autori: 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, Stephanie 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 Tre, Guy; Bronselaer, Antoon; Rivellese, Angela; Giacco, Rosalba; Lombardo, Rosario; De Clercq, Sofian; Hulstaert, Niels; Lachat, Carl

Affiliazioni autori: Univ Ghent; Univ Ghent; Univ Ghent; Univ Ghent; Max Delbruck Ctr Mol Med; Charite Berlin Univ Med; Max Delbruck Ctr Mol Med; Berlin Inst Hlth; German Ctr Cardiovasc Res; Trinity Coll Dublin; Food & Nutr Res Ctr; Univ Liege; German Inst Human Nutr Potsdam Rehbrucke; Poznan Univ Med Sci; Univ Copenhagen; Netherlands Org Appl Sci Res; Vrije Univ Brussel; Univ Bari Aldo Moro; Free Univ Bozen Bolzano; Sci Inst Publ Hlth; Univ Jaume 1; Univ Valencia; Inst Hlth Carlos III; Flanders Res Inst Agr Fisheries & Food; Univ Coll Cork; Katholieke Univ Leuven; Katholieke Univ Leuven; Univ Federico II; Inst Food Sci Natl Res Council; Univ Trento; Univ Ghent; VIB UGent

Autori CNR:

  • ROSALBA GIACCO

Lingua: inglese

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.

Lingua abstract: inglese

Pagine da: 639

Pagine a: 651

Pagine totali: 13

Rivista:

Advances in nutrition American Society for Nutrition
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 2161-8313

Numero volume: 8

Numero fascicolo: 5

DOI: 10.3945/an.117.015651

Referee: Sė: Internazionale

Stato della pubblicazione: Published version

Indicizzato da: ISI Web of Science (WOS) [000410751300001]

Parole chiave:

  • data quality
  • observational study
  • dietary assessment
  • nutritional epidemiology
  • data interoperability

Strutture CNR:

 
Torna indietro Richiedi modifiche Invia per email Stampa
Home Il CNR  |  I servizi News |   Eventi | Istituti |  Focus