preview

Evaluating The Appropriateness And Thoroughness Of The Data Analysis Procedures

Good Essays
a. Evaluate the appropriateness and thoroughness of the data analysis procedures, and clarity of the results presentation. Do not become overly concerned about technical statistical aspects of the analysis.

To evaluate the statistical significance, they used a p-value of .05 and a power of 80%. This allowed them to calculate how many participants in each group they needed to show a potential rejection of the null hypothesis. TAlthough a p-value .05 is arbitrarily set, it is the standard for must studies and therefore appropriate for this one. The authors also used the p-value and power level to determine the population needed and account for a 25% loss of participant rate. Data collection at baseline was done consistently. The authors used the mean as the central tendency which seems appropriate because logically people who weigh different amounts are going to lose weight proportionally. There is also a level of thoroughness that is evident by preforming the statistical analysis at multiple intervals. Had the authors only compared baseline to 12 months they could have missed a trend such as the change in total cholesterol. There was a decrease in total cholesterol at 3 and 6 months but by 12 months it was almost similar to baseline.

h. Evaluate the discussion of results and the conclusions of the study.
The result section of this article was clear and concise in most subsection. The authors were deceptive in the description in the waist circumference because they said the circumference for the low carbohydrate diet was “more favorable,” which is an opinion because the p-value for month six for that factor was .053. The authors did not insert other opinions in the other sections of the results.
The discussion was or...

... middle of paper ...

... more diverse location, or another study with more men or other demographics.

k. How would you summarize and explain the results of this study to a patient/family?

This study conducted in 2012, compared a low fat diet and a low carbohydrate diet when it comes to reducing risk factors of heart disease. For people without diabetes, cardiovascular disease, and kidney disease there is decrease in risk factors for cardiovascular disease such as weight, bad cholesterol levels, and blood pressure with a low-carbohydrate diet. There are limitations to this study including things like the participants were counseled extensively on their diet, the study was only around 150 people, and only conducted for a year. This diet isn’t as cure for cardiovascular disease or weight loss, but with appropriate exercise, applying this research to your daily life may show benefit.
Get Access