Identifying notions of environment in obesity research using a mixed methods approach

Torben Elgaard Jensen, Anne Katrine Kleberg Hansen, stanley Ulijaszek, Anders Kristian Munk, Anders Koed Madsen, Line Hillersdal, Astrid Pernille Jespersen

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

3 Citationer (Scopus)

Resumé

Den seneste stigning i beregningsbaserede metoder inden for samfundsvidenskab har åbnet nye muligheder for at udforske kvalitative spørgsmål gennem analyse af store mængder tekst. Denne artikel anvender et blandet metode design, der inkorporerer maskinaflæsning, netværksanalyse, semantisk analyse og kvalitativ analyse af 414 højt citerede publikationer om obesogene miljøer mellem 2001 og 2015. Metoden producerer et udførligt netværkskort med fem forskellige forestillinger om miljø, hvoraf alle for tiden er aktive inden for fedmeforskning. De fem forestillinger er institutionelle, byggede, mad, familie og kropsmiljøer. Netværkskortet foreslås som et navigationsværktøj både for politiske aktører, der ønsker at koordinere indsatsen mellem en række interessenter og for forskere, der ønsker at forstå deres egne forsknings- og forskningsplaner i lyset af forskellige positioner på området. Den afsluttende del af artiklen undersøger, hvordan netværkskortet også kan indlede et bredere sæt refleksioner om konfiguration, differentiering og sammenhæng indenfor feltet fedmeforskning.
OriginalsprogEngelsk
TidsskriftObesity Reviews
Vol/bind20
Udgave nummer4
Sider (fra-til)621-630
Antal sider10
ISSN1467-7881
DOI
StatusUdgivet - apr. 2019

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Obesity
Research
Social Sciences
Semantics
Publications
Reading
Research Personnel
Food

Emneord

  • Obesogene miljøer
  • Semantisk analyse
  • Visuel netværksanalyse
  • Fedmefremmende miljøer

Citer dette

Jensen, Torben Elgaard ; Hansen, Anne Katrine Kleberg ; Ulijaszek, stanley ; Munk, Anders Kristian ; Madsen, Anders Koed ; Hillersdal, Line ; Jespersen, Astrid Pernille. / Identifying notions of environment in obesity research using a mixed methods approach. I: Obesity Reviews. 2019 ; Bind 20, Nr. 4. s. 621-630.
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title = "Identifying notions of environment in obesity research using a mixed methods approach",
abstract = "The recent rise of computation‐based methods in social science has opened newopportunities 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.",
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Identifying notions of environment in obesity research using a mixed methods approach. / Jensen, Torben Elgaard; Hansen, Anne Katrine Kleberg; Ulijaszek, stanley; Munk, Anders Kristian; Madsen, Anders Koed; Hillersdal, Line; Jespersen, Astrid Pernille.

I: Obesity Reviews, Bind 20, Nr. 4, 04.2019, s. 621-630.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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AU - Jespersen, Astrid Pernille

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