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Related Concept Videos

Obesity01:24

Obesity

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 adipocytes...
Drug Dosing: Obese Patients01:21

Drug Dosing: Obese Patients

In the United States, obesity is a prominent concern. It is linked to heightened mortality rates due to increased occurrences of conditions such as hypertension, atherosclerosis, coronary artery disease, and diabetes compared to nonobese individuals. A patient is classified as obese if their actual body weight surpasses the ideal or desirable body weight by 20%, based on Metropolitan Life Insurance Company data. Ideal body weights consider average weights and heights for males and females...
Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who are...
Stratified Sampling Method01:16

Stratified Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
The Representativeness Heuristic02:13

The Representativeness Heuristic

The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
Sample Proportion and Population Proportion01:20

Sample Proportion and Population Proportion

Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...

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Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

Published on: May 6, 2022

Stigmatizing attitudes toward obesity in a representative population-based sample.

Anja Hilbert1, Winfried Rief, Elmar Braehler

  • 1Department of Psychology, Division of Clinical Psychology and Psychological Therapy, Philipps University of Marburg, Marburg, Germany. hilbert@staff.uni-marburg.de

Obesity (Silver Spring, Md.)
|May 10, 2008
PubMed
Summary
This summary is machine-generated.

Stigmatizing attitudes toward obesity are common. Factors like individual blame, lower education, and older age increase stigma, while viewing obesity as an illness decreases it.

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Area of Science:

  • Public Health
  • Psychology
  • Sociology

Background:

  • Obesity stigma impacts public health and individual well-being.
  • Understanding the prevalence and determinants of obesity stigma is crucial for effective interventions.

Purpose of the Study:

  • To determine the prevalence of stigmatizing attitudes toward obesity in the general population.
  • To identify psychological and sociodemographic factors associated with obesity stigma.

Main Methods:

  • A representative population-based survey of 1,000 individuals was conducted.
  • Computer-assisted telephone interviews assessed attitudes toward obesity, causal attributions, and sociodemographic characteristics.

Main Results:

  • 23.5% of participants exhibited stigmatizing attitudes toward obesity.
  • Greater stigma was linked to attributing obesity to individual behavior, lower education, and older age.
  • Viewing obesity as an illness or hereditary reduced stigmatization.

Conclusions:

  • Stigmatizing attitudes regarding obesity are prevalent.
  • Educational initiatives on obesity etiology and clinical relevance may aid destigmatization efforts.