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Anti-Fat Bias

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Introduction Self-image is both a conscious and unconscious way of viewing oneself. How one views his or herself is built through interaction with others. Society has given us roles and certain expectations on how we should look. Goffman (1963) states that the bias and discrimination against overweight and obese individuals is widespread. This bias ranges from individuals in the work place to intimate relationships. Implicit bias is defined as our attitudes or stereotypes that shape our understanding, actions, and decisions in an unconscious state (Banaji & Greenwald, 1998). Perception of our own body image will predict the perception of another individual’s body. Individuals tend to show an anti-fat bias, judging others who are overweight …show more content…

A., & Brownell, K. 2001). Within these test participants will be ask to distinguish faces of those who are obese and thin. The results often present a preference for thin individuals. The IAT will be sorting pictures and words into categories. Participants will have to move at a fast pace, this task should be completed in less than ten minutes. The words that will be categorized are good, bad, fat, or tin. The good and bad category will present words such as; joy, love, peace, agony, terrible, and horrible. While the thin and fat category will show pictures. The results will show a preference, there are no low or high scores for this task. The IAT makes individuals more aware of one's own and others' automatic preferences and stereotypes. The IAT was measured on a seven-point semantic differential scale, with one representing as a strong preference for thin, 4 represented no preference, while 7 represented as a strong preference for fat (Teachman, B. A., & Brownell, K. 2001). Surveymonkey was used to collect informed consent the demographics. The demographic survey included questions such as; what is your age, ethnicity origin, and to which gender do you identify. The gender included female, male, transgender female/male, not listed, or prefer not to

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