Statistical Significance of Results
The study results reveal that neighborhood features relate to obesity. The research study shows that despite different household features such as the stores that do not positively relate to obesity, neighborhood food features such as food deserts were linked to obesity. The results are statistically significant in this case because the P-value, which is 0.02, is lower than the previously stated alpha of 0.05.
Differences between Groups
The results varied within different groups of variables. First, the race was linked to obesity as African American were more susceptible. Income also positively related to obesity. Also, the house traits such as the stores were related to obesity. The neighborhood setting and features such as restaurants were positively associated with obesity. Also, the diet was a critical determinant of obesity. Furthermore, exercise was negatively associated with obesity, and the environment (USDAscore) positively links to obesity.
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Limitations of Population and Sample Size
The research study was focusing on the review of different databases to get records and data to do an analysis. Therefore, the first limitation is that the research study relied on secondary data that could have been subjective and biased. Also, a full data set was complete data set contained 38 650 with a total of 18 381 households in 2104 counties in the United States. The sample was good, but it was a small sample regarding the nature of the study.
Statistical Analysis Advantages and Disadvantages
The first advantage of using secondary data is that it is easy to collect and give a researcher a chance to access the past and present views and findings on the research topic. For instance, the researchers were able to collect data from 2104 counties of the United States, which could not be accessible with other approaches. However, the results are subjective to other people's views and thus can be bais.
Limitation of the study
The study design involved database review and analysis in obtaining secondary data and records on the topic. The disadvantage is that the data are subject to bias and may not depict the actual situation in the field.
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. doi:10.2105/ajph.2016.303048
