Identifying notions of environment in obesity research using a mixed-methods approach
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Identifying notions of environment in obesity research using a mixed-methods approach. / Elgaard Jensen, Torben; Kleberg Hansen, Anne Katrine; Ulijaszek, Stanley; Munk, Anders K.; Madsen, Anders Koed; Hillersdal, Line; Jespersen, Astrid Pernille.
I: Obesity Reviews, Bind 20, Nr. 4, 2019, s. 621-630.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Identifying notions of environment in obesity research using a mixed-methods approach
AU - Elgaard Jensen, Torben
AU - Kleberg Hansen, Anne Katrine
AU - Ulijaszek, Stanley
AU - Munk, Anders K.
AU - Madsen, Anders Koed
AU - Hillersdal, Line
AU - Jespersen, Astrid Pernille
PY - 2019
Y1 - 2019
N2 - The recent rise of computation-based methods in social science has opened new opportunities for exploring qualitative questions through analysis of large amounts of text. This article uses a mixed-methods design that incorporates machine reading, network analysis, semantic analysis, and qualitative analysis of 414 highly cited publications on obesogenic environments between 2001 and 2015. The method produces an elaborate network map exhibiting five distinct notions of environment, all of which are currently active in the field of obesity research. The five notions are institutional, built, food, family, and bodily environments. The network map is proposed as a navigational tool both for policy actors who wish to coordinate efforts between a variety of stakeholders and for researchers who wish to understand their own research and research plans in light of different positions in the field. The final part of the article explores how the network map may also initiate a broader set of reflections on the configuration, differentiation, and coherence of the field of obesity research.
AB - The recent rise of computation-based methods in social science has opened new opportunities for exploring qualitative questions through analysis of large amounts of text. This article uses a mixed-methods design that incorporates machine reading, network analysis, semantic analysis, and qualitative analysis of 414 highly cited publications on obesogenic environments between 2001 and 2015. The method produces an elaborate network map exhibiting five distinct notions of environment, all of which are currently active in the field of obesity research. The five notions are institutional, built, food, family, and bodily environments. The network map is proposed as a navigational tool both for policy actors who wish to coordinate efforts between a variety of stakeholders and for researchers who wish to understand their own research and research plans in light of different positions in the field. The final part of the article explores how the network map may also initiate a broader set of reflections on the configuration, differentiation, and coherence of the field of obesity research.
KW - Obesogenic environment
KW - semantic analysis
KW - visual network analysis
U2 - 10.1111/obr.12807
DO - 10.1111/obr.12807
M3 - Journal article
C2 - 30550640
AN - SCOPUS:85058647294
VL - 20
SP - 621
EP - 630
JO - Obesity Reviews
JF - Obesity Reviews
SN - 1467-7881
IS - 4
ER -
ID: 212299698