Provide a brief summary of the public health topic that relates to the variables within your selected dataset.
Identify your “Statement of the Problem” (or research question). Be sure your statement or question makes mention of both the independent and dependent variables you are examining and that these variables are actually available in the dataset. (This will be important for later assignments when you complete statistical analysis.).
Provide an Annotated bibliography which is to include:
Sources: Four recent (less than 3 years old) primary peer-reviewed research articles that support the topic of your paper. Beyond the minimum four primary research articles, you may add additional, high-quality secondary literature (reviews or meta-analyses), and you may use websites if from a scholarly and relevant source (e.g. CDC, NCHS, etc.). Your sources must follow APA formatting
Annotation: For each research article, include a brief description of the study aim, the methods used, and the major findings. For each non research source, provide a concise description of the relevant key points addressed in the source. Include in the annotation a brief description of how you plan to use each source (e.g. provides statistics for the problem, etc.)
This material may consist of step-by-step explanations on how to solve a problem or examples of proper writing, including the use of citations, references, bibliographies, and formatting. This material is made available for the sole purpose of studying and learning - misuse is strictly forbidden.WHO (World Health Organization’s) classified normal person with 18.5–24.9 kg/m2 BMI, overweight with 25–29.9 kg/m2 BMI, obesity Class I (30–34.9 kg/m2), medium obesity Class II (35–39.9 kg/m2), and extreme obesity Class III (≥40 kg/m2) (Overweight and Obesity Statistics. (n.d.). Retrieved September 24, 2015). Diabetes normally refer as metabolic disorder lead to high blood glucose level, and classified as type 1 (insulin dependent) and type 2 (insulin independent).
In 2013, Fagherazzi, et al. studied that artificial and sugar-sweetened beverages (ASBs, SSBs) are associated with increased risk of type 2 diabetes (T2D) in US. They planned study with including 66,118 ladies, and out of them 1369 instances of T2D were analyzed. For statistical analysis Cox regression models were used to correlate hazard ratios (HRs) and 95% CIs (confidence interval) for T2D risk. Strong positive trends in T2D risk was observed while consumption for both types of beverage (P = 0.0088 and P = 0.0001, respectively), hence they are connected increased T2D risk and partly mediated by BMI....