Chen et al 2015 used regression analysis odds ratio

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Chen et al. (2015) used regression analysis, Odds ratio, and confidence intervals to evaluate the raw data for this study and answer the research question. Advantages of using Odds ratio, regression analysis and confidence intervals include the ability to determine the influence of the variables as well as possible correlations. Chen et al. (2015) conducted an observational study. Known limitations of this type of study design include the difficulty to make causal connections in a observational study. Chen et al. (2015) found that one third of the sample was overweight and one third of the sample was obese. The authors concluded that Individual and household factors had a bigger correlation with obesity then the neighborhood factor. Whereas the reference article, Morland, K. B., & Evenson, K. R. (2009) found that the neighborhood food environment had positive
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6 FInal Project Paper correlation with obesity and overweight status. Chen et al. (2015) contributed to the body of literature on the topic of obesity. The impact included the various factors that can impact obesity. For example those who lived closed to small grocery stores were found to have a positive correlation to obesity. Chen et al. (2015) showed us that household, and individual factors are the most important factors when discussing obesity, but did not answer all the possible questions about this topic. A new study could be designed to answer the following questions: How much of a impact does income level have on obesity. Ways to make the new study as scientific and rigorous as possible would be to have a large sample population that is as diverse as possible.
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7 FInal Project Paper References Chen, D., Jaenicke, E. C., & Volpe, R. J. (2016). Food environments and obesity: Household diet expenditure versus food deserts. American Journal of Public Health, 106(5), 881–888. Morland, K. B., & Evenson, K. R. (2009). Obesity prevalence and the local food environment. Health & Place, 15(2), 491– 495.
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