HLT-362V Topic 2 Assignment

Grand Canyon University HLT-362V Topic 2 Assignment– Step-By-Step Guide

This guide will demonstrate how to complete the Grand Canyon University HLT-362V Topic 2 Assignment assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.

How to Research and Prepare for HLT-362V Topic 2 Assignment

Whether one passes or fails an academic assignment such as the Grand Canyon University HLT-362V Topic 2 Assignment depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.

After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.

How to Write the Introduction for HLT-362V Topic 2 Assignment

The introduction for the Grand Canyon University HLT-362V Topic 2 Assignment is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.

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How to Write the Body for HLT-362V Topic 2 Assignment

After the introduction, move into the main part of the HLT-362V Topic 2 Assignment assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.

Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.

How to Write the Conclusion for HLT-362V Topic 2 Assignment

After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.

How to Format the References List for HLT-362V Topic 2 Assignment

The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.

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Sample Answer for HLT-362V Topic 2 Assignment

Article Analysis 1

Article Citation and Permalink (APA format)	Zheng, F., Liu, S., Liu, Y., & Deng, L. (2019). Effects of an outpatient diabetes self-management education on patients with type 2 diabetes in China: a randomized controlled trial. Journal of diabetes research, 2019. Permalink: https://www.hindawi.com/journals/jdr/2019/1073131/	Thai, T. T., Jones, M. K., Harris, L. M., & Heard, R. C. (2017). The association between symptoms of mental disorders and health risk behaviors in Vietnamese HIV positive outpatients: a cross-sectional study. BMC Public Health, 17(1), 250. Permalink: https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-017-4162-6	Vafa, M., Soltani, S., Zayeri, F., Niroomand, M., & Najarzadeh, A. (2016). The relationship between sodium intake and some bone minerals and osteoporosis risk assessment instrument in postmenopausal women. Medical journal of the Islamic Republic of Iran, 30, 377. Permalink: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4972052/https://journals.sagepub.com/doi/full/10.1177/2377960819869088
Point	Description	Description	Description
Broad Topic Area/Title	The main topic of the article is: “Effects of an outpatient diabetes self-management education on patients with type 2 diabetes” Type 2 diabetes continues to affect lives of many people across the world. Over the years, there has been an increase in the number of types 2 diabetic patients in different hospitals and communities. As a result, researchers have attempted to identify different strategies of curbing the growing concerns. The above quantitative research https://scribinggeniouses.com/dnp-830-working-with-inferential-statistics/ therefore investigates the impacts of outpatient diabetes self-management education on patients suffering from type 2 diabetes.	From the quantitative article, the main topic of the study is: “The association between the symptoms of mental health disorders and health risk behaviors among the Vietnamese HIV positive patients” HIV/AIDS often cause distressful feelings to the victims. In some cases, some HIV patients may commit suicide as a result of traumatic thoughts associated with stigma. This quantitate research therefore investigates the association between the symptoms of the psychological disorders and health risk behaviors among the HIV positive patients.	The main topic in the quantitative research article is: “The relationship between sodium intake and some bone minerals and osteoporosis risk assessment instrument in postmenopausal women.” The research topic aims at establishing the correlation between the levels of sodium intake and the bone minerals and osteoporosis risk assessment among the postmenopausal women. The aim of the research is to enhance knowledge in ensuring quality health outcomes among the postnatal women in different healthcare settings.
Identify Independent and Dependent Variables and Type of Data for the Variables	Independent variable: Summary Diabetic Self-care activities (SDSCA) (categorical variable) Dependent variable: Blood glucose level (continuous variable with a normal distribution) The measurement of SDSCA was done in a scale consisting of self-care activities such as adherence to medication, dietary behaviors, exercise, food care, and blood glucose monitoring. In the process of data analysis, there was the determination of the correlation between the dependent and independent variable.	Independent Variable: Symptoms of mental health disorder (categorical variable) Dependent variable: health risk behaviors (continuous variable with a normal distribution) The process of analysis focuses on establishing the correlation between the dependent and independent variable i.e. the	Independent variable: Level/amount of sodium intake (continuous variable with a normal distribution) Dependent variable: Type of osteoporosis risk assessment (categorical variable) The process of data analysis involves determining the correlation between the dependent and independent variable. Correlation approach of data analysis was mainly used to determine relationship. Before engaging in the analysis process, Kolmogorov-Smirnov test was used to test the normality both the dependent and independent variables.
The population of Interest for the Study	The population of interest in the study included diabetic patients in various hospitals and healthcare settings across China. The sample was obtained from the population to be used in the study. The population consisted of both men and women drawn from different communities and healthcare settings. The blood samples were then drawn from the patients and measured before and after self-management interventions. The population under the study were then followed over a given period (three months).	The population of interest include Vietnamese patients suffering from HIV. The respondents were identified in different healthcare settings including communities and different hospitals. Specifically, the research was conducted by outpatients in Ho Chi Minh City in Vietnam.	The population of interest in the study included postmenopausal women from different communities. The respondents consisted of women who were past menopausal age. Specifically, the cross-sectional study was conducted on 185 retired teachers from the age of 45 to 70. While undertaking the research process, urine samples were collected to measure the level of sodium in the blood.
Sample	The sample size used in the study was 60. In other words, a total of 60 patients suffering from type 2 diabetes were identified for the study. There was both the intervention and control groups. Both the intervention and control group consisted of 30 respondents each. The groups were also established as post-experimental and pre-experimental groups.	The sample size was used in the study was 400. In other words, a total of 400 outpatients were identified. The sample size was a representation of the entire population of the individuals suffering from HIV/AIDS in Vietnam. The above sample size was good enough for the study processes. The analysis obtained from the sample could be used in making meaningful conclusion about the correlation between the dependent and independent variable	The sample size used in the study was 185. In other words, a total of 185 women aged between 45 and 70 were used in the study. Urine samples were collected from the above population. ORAI index was then calculated for each sample. Phosphorus, urinary calcium, serum vitamin D, as well as PTH were measured as laboratory variables.
Sampling Method	Simple random sampling technique was used to identify the study participants. From the study, 60 patients suffering from type 2 diabetes mellitus were randomly selected for the study process. The sampling process was done in different hospitals. At first, 72 participants were identified for the study, however, 12 of them declines to participate.	From the research, systematic sampling technique was applied in the selection of the respondents. The study participants were then presented with the self-assessment questionnaires where they were supposed to fill in some of the required information. The questions contained in the questionnaires were then used to formulate the dependent, independent and other variables used in the study process.	Simple random sampling method was used to identify the respondents for the study. Retired teachers were selected randomly from different communities and healthcare facilities. The sample obtained was considered as a true representation of the entire population under the study.
Descriptive Statistics (Mean, Median, Mode; Standard Deviation) Identify examples of descriptive statistics in the article.	Some of the descriptive statistics in the study included: Mean Median Mode Frequencies Percentages	The descriptive statistics used in the above quantitative research included: Mean Median Mode Frequencies Percentages Interquartile ranges	The descriptive statistics used in the data analysis process included: Mean Median Mode Frequencies Standard deviation
Inferential Statistics Identify examples of inferential statistics in the article.	The inferential statistics identified in the study included: Correlation Chi-square	The inferential statistics applied in the research processes included: Correlation Simple logistic regression Multivariate logistic regression Bivariate analysis Chi-squared tests and the Fisher exact tests	The inferential statistics used in the process of analysis included: Analysis of variance (ANOVA) Chi-square test for categorical variable Pearson’s correlation test Kolmogorov-Smirnov test to evaluate normality of the data

HLT-362V Topic 3 Assignment Sample Answer

Article Analysis: Example 2

Article Citation and Permalink	Rao Deepa, P., Parth, P., Roberts Karen, C., & Wendy, T. (2018). Original quantitative research Obesity and healthy aging: social, functional and mental well-being among older Canadians. Health promotion and chronic disease prevention in Canada: research, policy and practice, 38(12), 437. Link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329578/	Patel, S. A., Ali, M. K., Alam, D., Yan, L. L., Levitt, N. S., Bernabe-Ortiz, A., … & Rubinstein, A. (2016). Obesity and its relation with diabetes and hypertension: a cross-sectional study across 4 geographical regions. Global heart, 11(1), 71-79. Link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843822/
Point	Description
Broad Topic Area/Title	The main topic of the study is: “Original quantitative research Obesity and healthy aging: social, functional and mental well-being among older Canadians” The study attempts to investigate on the obesity and healthy aging among the Canadian population. Obesity is known to cause complicated health issues especially to the aging population. The study therefore attempt to investigate the relationship between obesity and aging among the older population.	The main topic of the study is: “Obesity and its relation with diabetes and hypertension” Many theoretical frameworks relate obesity and the increasing cases of hypertension and diabetes. Childhood obesity is attributed to insulin resistance as well as type 2 diabetes and hypertension. Different health promotions have been adopted to enhance the reduction of instances of obesity among children. Both diabetes and hypertension and believed to be directly related to the obesity. The research therefore attempt to determine the correlation.
Define Hypotheses	Null Hypothesis (Ho): There is no correlation between obesity and social, functional and mental well-being among the older Canadians. Alternative Hypothesis (H1): There is a correlation between obesity and social, functional and mental well-being among the older Canadians.	Null Hypothesis (Ho): Obesity is not related to diabetes and hypertension. Alternative Hypothesis (H1): Obesity is related to diabetes and hypertension.
Define Variables and Types of Data for Variables	Independent variable: Rate of obesity (continuous variable with a normal distribution). Dependent variable: social, function and mental well-being (continuous variable with a normal distribution)	Independent variable: Obesity (overweight) (continuous variable with a normal distribution). Dependent variable: Systolic blood pressure and level of glucose in the blood (HbA1c) (continuous variable with a normal distribution). The study aimed at determining the impact of independent variable on the dependent variable. Both the independent and dependent variable involved the application of numerical data which were continuously distributed.
Population of Interest for the Study	The population of interest in the study involved a group of Canadians between the age of 55 and 85. The respondents were selected from different communities within the communities. In most cases, adults above the age of 55 are always prone to obesity and the related conditions due to the reduced metabolic activities in the body.	The population of interest in the study involved diabetic patients and those who are suffering from high blood pressure. The respondents were sampled from different healthcare institutions. Their blood samples were taken the glucose level measures. Also, the systolic and diastolic blood pressure were recorded. Diabetic patients often require continuous care, hence the need to conduct numerous home visits by healthcare professionals. The study therefore aimed at determining the effectiveness of home visits by medical students in the reduction of Glycated hemoglobin (HbA1c) levels.
Sample	The sample size used was 21,241. 21,241 participants were selected from the identified population. The sample involved both men and women aged between 55 and 85.	The sample size used was 31,118. A total of 31,118 obese patients were selected from different healthcare settings. The sample size used was a perfect representation of the population of diabetic patients under the study.
Sampling Method	During the study, simple random sampling was used to identify the respondents in the process of the study. The sample selected was assumed to be a representative of the entire population under the study. The application of simple random sampling was simple and accurate.	Simple random sampling method was used in the study process. The sample selected was assumed to be a representative of the entire population under the study. The application of simple random sampling was simple and accurate as most of the respondents identified got fully engaged in the study process, they also reflected the characteristics of the entire population.
How Were Data Collected?	Data collection process involved the use of questionnaires. The questionnaires were formulated with questions reflecting the variables used in the study design. Each of the selected respondents was required to fill in the questionnaires with the required information including personal information, as well as the clinical data. Data cleaning was then done to remove outliers and to ensure that the datasets were normally distributed. From the questionnaires, questions were structured to reflected the variables used in the study design.	The process of data collection involved the application of questionnaires. Healthcare professionals were able to record the blood glucose levels and the biodata of the patients involved in the study. The data were recorded in the Microsoft Excel and data cleaning processes conducted to eliminate any possible outliers.