Article Citation and Permalink (APA format) Ingels, J. S., Misra, R., Stewart, J., Lucke-Wold, B., & Shawley-Brzoska, S. (2017). The effect of adherence to dietary tracking on weight loss: using HLM to model weight loss over time. Journal of diabetes research, 2017. Permalink: https://www.hindawi.com/journals/jdr/2017/6951495/ Point Description Broad Topic Area/Title The effect of adherence to dietary tracking on weight loss Problem Statement (What is the problem research is addressing?) The main problem in the study is the increasing cases of obesity and overweight which leads to other cardiovascular diseases. Obesity is condition that impacts different populations across the globe. The condition is common to people of all age groups. The research therefore focuses on the effect of adherence to dietary tracking on weight loss. Purpose Statement (What is the purpose of the study?) The purpose of the study is to investigate the impact of adherence to dietary tracking on weight loss. Research Questions (What questions does the research seek to answer?) What are the impacts of adherence to dietary tracking on weight loss? Does better adherence to the dietary tracking led to an increase in weight loss? Define Hypothesis (Or state the correct hypothesis based upon variables used) Null Hypothesis (HO): Adherence to dietary tracking does not have significant impacts on weight loss Alternative Hypothesis (H1): Adherence to dietary tracking have significant impacts on weight loss Identify Dependent and Independent Variables and Type of Data for the Variables Independent variable: Adherence to dietary tracking (categorical variable) Dependent variable: Body weight (continuous variable) Population of Interest for Study The population of interest in the study included diabetic patients from different communities Sample The sample size used in the study was 45. Sampling Method Simple random sampling methods was used in the study process. Identify Data Collection Identify how data were collected The process of data collection involved the application of questionnaires. Also, healthcare databases were applied in the collection of information including weight as well as dietary tracking. Summarize Data Collection Approach The process of data collection involved filling out questionnaires by the information obtained from the databases. The collected data were then recorded in the excel spreadsheet ready for analysis. Discuss Data Analysis Include what types of statistical tests were used for the variables. In the process of data analysis, descriptive statistics was applied to show the attributes of variables under consideration in the study process. Both dependent and independent variables were considered in the process of data analysis. Frequencies as well as percentages were applied in the process of data analysis. Hypothesis testing was tested at p = 0.05 (Ingels et al., 2017). The bivariate Pearson’s correlation between dependent and independent variable was 0.32 Summarize Results of Study From the study, dietary tracking was found to be an important component of successful weight loss. Consistent tracking was found to be a significant predictor of weight loss. Summary of Assumptions and Limitations Identify the assumptions and limitations from the article. Report other potential assumptions and limitations of your review not listed by the author. One of the assumption is that the data collected were normally distributed with a standardized mean and variance. It was also assumed that the hypothesis were tested in a cost-effective manner. Finally, it was assumed that that research environment was perfect for the studies identified.
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