. Obesity is one of the common healthcare complications that cause problems for most populations across the world. The complication is associated with the increased body weight.
Obesity results from unhealthy eating, lack of continuous physical activities, genetic inheritance, as well as the unregulated the manufacturing companies (Dietz & Santos‐Burgoa, 2020). Obesity continues to cause deaths for many people globally. The research aims at establishing if the lifestyle change and other interventions can reduce the complications associated with obesity.
Methodology
The research will be conducted in urban public healthcare institutions/ hospitals in the State of Arizona. The expected sample size that will be applied is 600. In other words, the study will incorporate 600 obese participants from urban healthcare institutions.
The data will be collected in the hospitals at the point of patient admission. At each point, the body mass index will be captured and recorded in the database. Only obese individuals will be considered in the study. Additionally, the respondents will include those who are eighteen years and above. Succinctly, only individuals with a BMI of 30 and above will be considered in the study process.
Sampling Strategy
Simple random sampling will be applied in the study; this strategy involves random selection of respondents’ study participants. Simple random sampling is often used in most research processes because it is simple and easier to use; the method is also ideal for research processes involving a large sample size (Cai et al., 2019). A quasi-Experimental design will be applied in the research process.
A quasi-experimental research design refers to the empirical interventional study or research that is used to estimate the causal impact of an intervention on the target population without any form of random assignment (Borusyak et al., 2018). The research design is appropriate for this study because there will be an analysis of interventions for obese patients.
References
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