Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Bias01:22

Bias

7.9K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
7.9K
Regression Toward the Mean01:52

Regression Toward the Mean

7.3K
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...
7.3K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.5K
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:  
1.5K
Self-Regulation01:25

Self-Regulation

309
Self-regulation, also known as self-control, encompasses a range of cognitive and behavioral processes that allow individuals to adjust their internal states and outward actions to align with socially acceptable norms and long-term goals. It plays a fundamental role in adaptive functioning, from resisting impulsive behaviors to persisting through challenging tasks. While its benefits are widely recognized, self-regulation is not limitless. Muraven and Baumeister's theory posits that...
309
Motivational Bias01:25

Motivational Bias

467
Cognitive bias results from limitations in thinking and information processing, leading to systematic errors in judgment. Conversely, motivational bias stems from personal desires or emotions, causing distortions in perception to align with self-interest. Motivational bias influences how individuals perceive and attribute causes to events, often shaped by personal needs, goals, and self-esteem preservation. This bias can distort judgment, leading to inaccurate assessments of success, failure,...
467
First Impression01:09

First Impression

351
First impressions play a crucial role in social perception, shaping how individuals assess others in professional, academic, and interpersonal contexts. Psychological research highlights the significance of cognitive biases, such as the primacy and recency effects, which influence how people interpret and recall information.The Primacy Effect and Cognitive AnchoringThe primacy effect describes the tendency for initial information to impact judgment disproportionately. When individuals encounter...
351

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Unpacking weight management interventions measuring eating disorder risk in adults: coding of components of interventions in a systematic review.

Journal of eating disorders·2026
Same author

The Edmonton Obesity Staging System Clinical Support Tool: A Structured EOSS-Domain-Based Tool for Primary Care.

Clinical obesity·2026
Same author

The Effects of a Powdered Meal Replacement on Inflammation, Gut Microbiota, and Metabolism in People With Excess Body Weight-A Randomized Controlled Trial.

The Journal of nutrition·2026
Same author

How malleable are attentional biases in women with body dissatisfaction? Priming effects and their impact on attention to images of women's bodies.

Journal of experimental psychopathology·2026
Same author

Greater body appreciation moderates the association between maladaptive attentional biases and body dissatisfaction in undergraduate women.

Journal of experimental psychopathology·2026
Same author

Widespread exposure to GLP-1RAs and weight loss-related discourse: Considering potential public health implications.

Canadian journal of public health = Revue canadienne de sante publique·2026

Related Experiment Video

Updated: Mar 22, 2026

Fat Preference: A Novel Model of Eating Behavior in Rats
05:57

Fat Preference: A Novel Model of Eating Behavior in Rats

Published on: June 27, 2014

13.8K

Future research in weight bias: What next?

Angela S Alberga1, Shelly Russell-Mayhew1, Kristin M von Ranson2

  • 1Werklund School of Education, University of Calgary, Calgary, Alberta, Canada.

Obesity (Silver Spring, Md.)
|May 1, 2016
PubMed
Summary

The 2015 Canadian Weight Bias Summit identified key research areas for weight bias reduction. Experts emphasized that language, lived experiences, and interdisciplinary collaboration are crucial for progress.

More Related Videos

Control of Eating Behavior Using a Novel Feedback System
04:48

Control of Eating Behavior Using a Novel Feedback System

Published on: May 8, 2018

11.7K
Multidisciplinary Approach to Obesity Management: A Case Report
05:10

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

1.4K

Related Experiment Videos

Last Updated: Mar 22, 2026

Fat Preference: A Novel Model of Eating Behavior in Rats
05:57

Fat Preference: A Novel Model of Eating Behavior in Rats

Published on: June 27, 2014

13.8K
Control of Eating Behavior Using a Novel Feedback System
04:48

Control of Eating Behavior Using a Novel Feedback System

Published on: May 8, 2018

11.7K
Multidisciplinary Approach to Obesity Management: A Case Report
05:10

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

1.4K

Area of Science:

  • Public Health
  • Health Policy
  • Social Sciences

Background:

  • The 2015 Canadian Weight Bias Summit convened 40 experts, stakeholders, and policymakers.
  • The summit aimed to identify future research directions in weight bias across health, education, and public policy.
  • This paper shares the Summit's outcomes and promotes international, interdisciplinary research collaborations.

Discussion:

  • Consensus identified six critical research areas: costs, causes, measurement, qualitative research and lived experience, interventions, and learning from other discrimination models.
  • Key lessons emphasized the importance of careful language, incorporating the voices of individuals with obesity, and including diverse stakeholders.
  • These insights are vital for developing effective weight bias reduction strategies.

Key Insights:

  • Weight bias research requires a multifaceted approach, addressing economic, causal, and measurement aspects.
  • Qualitative research and lived experiences are essential for understanding and combating weight bias.
  • Interventions must be informed by diverse perspectives and models of discrimination.

Outlook:

  • Future research should focus on the identified six areas to advance weight bias reduction.
  • Encouraging international and interdisciplinary collaborations will accelerate progress.
  • Implementing the key lessons learned will foster more effective and inclusive strategies.