Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
How gender theories are used in contemporary public health research
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Public Health.
Univ Gothenburg, Sahlgrenska Acad, Sect Social Med, Dept Publ Hlth & Community Med, Gothenburg, Sweden.
2018 (English)In: International Journal for Equity in Health, ISSN 1475-9276, E-ISSN 1475-9276, Vol. 17, article id 34Article in journal (Refereed) Published
Abstract [en]

Background: Public health research often focuses on gender differences within certain diagnoses, but so far research has failed to explain these differences in a satisfactory way. Theoretical development could be one prerequisite for moving beyond categorical thinking. The aim of this paper was to analyse how gender theories have been used in public health research in relation to various methodological approaches. Method: Six special issues of gender research with public health relevance (comprising 33 papers in total) were identified from a search of PubMed and Web of Science, spanning a 10-year period. The papers were analysed inductively through posing questions to the text. Results: Gender theories were used in eight different ways: 1. to test hypotheses, 2. integrate theories, 3. develop gender concepts and models, 4. interpret findings, 5. understand health problems, 6. illustrate the validity of other theories, 7. integrated into a gender blind theory, as well as to 8. critique of other gender theories. The strategies applied seemed independent of the health aspects of the papers. However, the methodologies were of importance, indicating that both theoretical papers and papers using qualitative methodologies used almost all available strategies, while papers using quantitative empirical research used a limited number of strategies. Conclusions: This study contributes to identifying how gender theories are used in contemporary public health research, which can help researchers move beyond a categorical understanding of gender in health research.

Place, publisher, year, edition, pages
BioMed Central, 2018. Vol. 17, article id 34
Keywords [en]
Gender, Theories, Public health, Categorical thinking, Methods
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:uu:diva-354365DOI: 10.1186/s12939-017-0712-xISI: 000428203000001PubMedID: 29554916OAI: oai:DiVA.org:uu-354365DiVA, id: diva2:1222367
Funder
Swedish Research Council, 2011-05478Available from: 2018-06-21 Created: 2018-06-21 Last updated: 2018-06-21Bibliographically approved

Open Access in DiVA

fulltext(418 kB)80 downloads
File information
File name FULLTEXT01.pdfFile size 418 kBChecksum SHA-512
dc9f58ba69a9080705a98b38b0e3436c0906489fbbc431da01ad70cc987fb1e2214d1cddd0a89278ea50246fc1b1b7dd29f8da3121de354ab9c22ca21e837633
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Hammarström, Anne
By organisation
Public Health
In the same journal
International Journal for Equity in Health
Public Health, Global Health, Social Medicine and Epidemiology

Search outside of DiVA

GoogleGoogle Scholar
Total: 80 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 25 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf