Identification of Key Results
Results of this research highlight the need for a comprehensive approach to addressing the public health concern of obesity. Although obesity and its defining features like BMI are causally related to lifestyle factors like diet and activity levels, the research shows that the situation is more complex than that. There is a range of socioeconomic, ethnic, cultural, and political variables that also affect the prevalence of the disease. Identifying these outlying variables may be the key to resolving the obesity epidemic.
The obesity ecological model (OEM) has proven to be one of the most effective strategies for epidemiological analysis because it takes into account environmental and personal factors (Egger, Swinburn & Rossner, 2003). Using a multifactorial model like the OEM allows epidemiologists to take into account factors like age, race, socioeconomic class status, and compounding medical conditions. Key results of the study are as follows.
First, although the obesity epidemic has affected diverse communities around the world, it can be traced to a number of shared variables including dietary and other lifestyle choices. These are variables that are preventable and controllable, meaning that the obesity epidemic itself is preventable and controllable. The research also shows that while numbers and trends have shifted, the overall trend has been towards...
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