Educate others in your life about weight bias and its consequences. Helping people understand that obesity is a disease with complex causes can help stop harmful weight-based stereotypes. If you have school-age children, find out what kind of anti-bullying policy is in place at their school.

Weight bias is defined as “negative weight-related attitudes, beliefs, assumptions and judgments toward individuals who are overweight and obese” [7].

Examples of Weight Bias in the Media: Using “thin” people as the beauty standard and encouraging others to have the same body type. Referring to someone as “obese” instead of saying “a person with obesity” Portraying people who are not considered thin as being “gross” or “undesirable”

For example, studies have shown that medical students believe that patients who are obese lack self-control, are less likely to adhere to treatment, and are more “sloppy,” “unsuccessful,” and “unpleasant” than thinner patients [8, 13, 14].

In one study, people who internalized weight bias to a large degree were three times as likely to be at risk of heart disease and diabetes by having metabolic syndrome, that includes a cluster of three out of four health conditions such as elevated blood sugar, high blood pressure, high body mass index and high ...

Avoid judging a person's health, or eating and exercise behaviours, based on their weight, shape or appearance. A healthy body can present in a range of shapes or sizes. Avoid using language that increases feelings of guilt or shame around eating or weight, such as “bad”, “junk”, or “toxic”.

Weights and biases are neural network parameters that simplify machine learning data identification. The weights and biases develop how a neural network propels data flow forward through the network; this is called forward propagation.

5 Biases That Impact Decision-Making

• Similarity Bias. Similarity bias means that we often prefer things that are like us over things that are different than us.
• Expedience Bias.
• Experience Bias.
• Distance Bias.
• Safety Bias.

Biases are beliefs that are not founded by known facts about someone or about a particular group of individuals. For example, one common bias is that women are weak (despite many being very strong). Another is that blacks are dishonest (when most aren't).

Weight stigma is a result of weight bias. Weight bias refers to the negative ideologies associated with obesity. These can include laziness, lack of will power, a lack of moral character, bad hygiene, low level of intelligence and unattractiveness. Stigmatising beliefs and ideologies can lead to stigmatising acts.

In one study, people who internalized weight bias to a large degree were three times as likely to be at risk of heart disease and diabetes by having metabolic syndrome, that includes a cluster of three out of four health conditions such as elevated blood sugar, high blood pressure, high body mass index and high ...

Like other forms of bias and discrimination, weight stigma, also called sizeism, leads to suffering and psychological distress. Sizeism increases a person's risk for mental health problems such as substance use and suicidality (Hatzenbuehler, M. L., et al., Obesity, Vol.