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Predictors of food decision making : A systematic interdisciplinary mapping (SIM) review

Predictors of food decision making : A systematic interdisciplinary mapping (SIM) review


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SYMMANK, Claudia, Robert MAI, Stefan HOFFMANN, F. Marijn STOK, Britta RENNER, Nanna LIEN, Harald ROHM, 2017. Predictors of food decision making : A systematic interdisciplinary mapping (SIM) review. In: Appetite. 110, pp. 25-35. ISSN 0195-6663. eISSN 1095-8304

@article{Symmank2017-03Predi-38589, title={Predictors of food decision making : A systematic interdisciplinary mapping (SIM) review}, year={2017}, doi={10.1016/j.appet.2016.11.023}, volume={110}, issn={0195-6663}, journal={Appetite}, pages={25--35}, author={Symmank, Claudia and Mai, Robert and Hoffmann, Stefan and Stok, F. Marijn and Renner, Britta and Lien, Nanna and Rohm, Harald} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/38589"> <dc:contributor>Lien, Nanna</dc:contributor> <dcterms:abstract xml:lang="eng">The number of publications on consumer food decision making and its predictors and correlates has been steadily increasing over the last three decades. Given that different scientific disciplines illuminate this topic from different perspectives, it is necessary to develop an interdisciplinary overview. The aim of this study is to conduct a systematic interdisciplinary mapping (SIM) review by using rapid review techniques to explore the state-of-the-art, and to identify hot topics and research gaps in this field. This interdisciplinary review includes 1,820 publications in 485 different journals and other types of publications from more than ten disciplines (including nutritional science, medicine/health science, psychology, food science and technology, business research, etc.) across a period of 60 years. The identified predictors of food decision making were categorized in line with the recently proposed DONE (Determinants Of Nutrition and Eating behavior) framework. After applying qualitative and quantitative analyses, this study reveals that most of the research emphasizes biological, psychological, and product-related predictors, whereas policy-related influences on food choice are scarcely considered.</dcterms:abstract> <dc:creator>Rohm, Harald</dc:creator> <dc:contributor>Rohm, Harald</dc:contributor> <dc:contributor>Symmank, Claudia</dc:contributor> <dc:contributor>Renner, Britta</dc:contributor> <dc:contributor>Mai, Robert</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-04-25T07:51:21Z</dcterms:available> <dc:creator>Renner, Britta</dc:creator> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/38589"/> <dc:creator>Lien, Nanna</dc:creator> <dcterms:title>Predictors of food decision making : A systematic interdisciplinary mapping (SIM) review</dcterms:title> <dc:creator>Symmank, Claudia</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-04-25T07:51:21Z</dc:date> <dc:language>eng</dc:language> <dc:creator>Hoffmann, Stefan</dc:creator> <dc:creator>Stok, F. Marijn</dc:creator> <dc:contributor>Stok, F. Marijn</dc:contributor> <dc:creator>Mai, Robert</dc:creator> <dcterms:issued>2017-03</dcterms:issued> <dc:contributor>Hoffmann, Stefan</dc:contributor> </rdf:Description> </rdf:RDF>

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