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Related Concept Videos

Obesity01:24

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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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  1. Home
  3. Research Domains
  5. Language, Communication And Culture
  7. Cultural Studies
  9. Postcolonial Studies
  11. Weight Bias Among Canadians: Associations With Sociodemographics, Bmi And Body Image Constructs.
  1. Home
  3. Research Domains
  5. Language, Communication And Culture
  7. Cultural Studies
  9. Postcolonial Studies
  11. Weight Bias Among Canadians: Associations With Sociodemographics, Bmi And Body Image Constructs.

Related Experiment Video

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Weight bias among Canadians: Associations with sociodemographics, BMI and body image constructs.

Marilou Côté1, Vida Forouhar2, Iyoma Y Edache3

  • 1Département des fondements et pratiques en éducation, Faculté des sciences de l'éducation, Université Laval, Canada; Centre Nutrition, santé et société (NUTRISS), INAF, Université Laval, Canada.

Social Science & Medicine (1982)
|July 4, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Weight bias internalization (WBI) and body mass index (BMI) significantly predict explicit weight bias. Reducing WBI is crucial for mitigating negative attitudes toward individuals with obesity.

Keywords:
Anti-Fat attitudesBody dissatisfactionBody weightObesity

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Area of Science:

  • Psychology
  • Public Health
  • Sociology

Background:

  • Weight bias internalization (WBI) and body image influence attitudes towards obesity.
  • Understanding factors contributing to explicit weight bias is essential for public health interventions.

Purpose of the Study:

  • To examine associations between sociodemographic factors, BMI, body satisfaction, WBI, and explicit weight bias.
  • To identify key predictors of explicit weight bias in Canadian adults.

Main Methods:

  • Cross-sectional study of 995 English-speaking Canadian adults.
  • Survey assessed explicit weight bias, body satisfaction, WBI, and self-reported height and weight.
  • Multiple linear regression analyses were performed.

Main Results:

Weight bias internalization
Weight stigma
  • Weight bias internalization (WBI) explained the most variance in explicit weight bias, followed by body mass index (BMI).
  • Higher WBI and lower BMI were significantly associated with greater explicit weight bias.
  • Sex differences emerged: males associated with willpower attributions, females with weight gain concerns.

Conclusions:

  • WBI is a primary driver of explicit weight bias.
  • Interventions targeting WBI may reduce negative attitudes toward individuals with obesity.
  • Further research on WBI mitigation strategies is warranted.