100,000 residents. Fast food restaurants offer inexpensive, calorie-dense food that is nutrient-poor and unhealthy with high levels of sugar, fat, and sodium. According to the USDA recommendation for daily caloric intake, a McDonald's meal has more than half a day's worth of calories. In the short term, the residents of these communities are making an economically rational decision when purchasing fast food as it is easily accessible and inexpensive. The alternative would be purchasing low quality groceries at a high cost. In the long-term, however, studies show that the consumption of fast food hurts overall health, raising the probability of becoming obese. Economic status of individuals in ethnic groups does not fully explain the disparity between communities. A 2009 study in the Journal of Epidemiology and Community Health found that racial/ethnic minorities have a higher risk of being obese within each observed socioeconomic group, suggesting that race is a key indicator in determining disparities of obesity risk. The study also implies that structural racism may cause certain racial/ethnic groups to experience a disproportionate risk of obesity. Social perspective Weight bias and stigma Weight bias is an ongoing field of study focusing on obesity-related stigmatization. Multiple academics cite evidence of differential, negative treatment of the overweight and obese due to commonly attributed stereotypes such as laziness, incompetence, weakness of will, sloppiness, and untrustworthiness. In one study of 2,249 obese and overweight women, 54% reported experiencing weight stigma by their colleagues; 43% reported experiencing weight stigma by their superiors. Weight stigma can be defined as derogatory comments, preferential treatment towards average-weight colleagues, and denial of employment. In another study of 2,838 nationally representative adults aged 25–74, overweight, obese, and severely obese respondents were, respectively, 12, 37, and 100 times more likely to report employment discrimination than average-weight respondents, including loss or reduction of wages. Data suggests that after controlling for other socioeconomic factors, limitations of health, and other household variables, obese men were expected to see a 0.7 to 3.4% wage depression, and obese women were expected to see a wage depression between 2.3 and 6.1%. Studies show that physicians are most likely to attribute lack of motivation as the primary cause of obesity, coupled with non-compliance and general laziness. In one United Kingdom study, physicians tended to follow a victim-blaming approach regarding the causes of obesity, while the obese patients themselves attributed their weight to specific medical causes or other socioeconomic