Reducing weight bias and stigma in qualitative research interviews: Considerations for researchers

Obes Rev. 2024 Jul;25(7):e13750. doi: 10.1111/obr.13750. Epub 2024 Apr 29.

Abstract

Perceptions and biases influence how we interact with and experience the world, including in professional roles as researchers. Weight bias, defined as negative attitudes or perceptions towards people that have large bodies, can contribute to weight stigma and discrimination leading to negative health and social consequences. Weight bias is experienced by people living with obesity in media, health care, education, employment and social settings. In research settings, there is potential for weight bias to impact various aspects of qualitative research including the participant-researcher dynamic in interviews. However, evidence-based strategies to reduce weight bias in qualitative research interviews have yet to be identified. We discuss how weight bias may influence research interviews and identify several considerations and strategies for researchers to minimize the impact of weight bias. Strategies include practicing reflexivity, planning and conducting interviews in ways that support rapport building, using inclusive language, and considering participatory methods.

Keywords: interview; qualitative research; weight bias; weight stigma.

Publication types

  • Review

MeSH terms

  • Humans
  • Interviews as Topic
  • Obesity* / psychology
  • Qualitative Research
  • Research Design
  • Research Personnel / psychology
  • Social Stigma*
  • Stereotyping
  • Weight Prejudice*