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Challenges and Future Directions for Promoting Intersectional Quantitative Studies in Physical Activity Research

  • Vrije Universiteit Amsterdam
  • Amsterdam UMC

Research output: Contribution to journal › Review article › Academic › peer-review

128 Downloads (Pure)

Abstract

Understanding health inequalities is essential for improving social justice. Intersectionality refers to a theoretical framework for studying the intersection of multiple social categorizations that create unique experiences and related social inequalities. Currently, the majority of the intersectional studies in the physical activity field have a qualitative design; thus, there is a need for quantitative intersectional studies. This commentary aims to explore primary obstacles impeding intersectional quantitative research and provide recommendations for overcoming these obstacles in physical activity research. In the commentary, we discuss that the lack of accessibility of large-scale and diverse data sets, and suboptimal social categorizations and intersectionality-related questions may contribute to the scarcity of intersectional quantitative research in the field. To facilitate intersectional quantitative analyses, we advocate for making large-scale data sets accessible for intersectional secondary analyses, diverse sampling, standardizing questions and categories related to intersectionality, promoting inclusive research designs and methods, and using the appropriate questions and social categorization that reflect the distinct experiences of each subgroup. By addressing these challenges, researchers may gain new insights into health disparities, making physical activity research more inclusive and contributing to more equitable health outcomes.
Original languageEnglish
Pages (from-to)1223-1226
Number of pages4
JournalJournal of physical activity & health
Volume21
Issue number12
DOIs
Publication statusPublished - 1 Dec 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • accelerometry
  • health behavior
  • health disparities
  • health promotion
  • methods

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