HLT-362 Article Analysis 1 Solved

HLT-362 Article Analysis 1 Solved

Grand Canyon University HLT-362 Article Analysis 1 Solved-Step-By-Step Guide

 

This guide will demonstrate how to complete the HLT-362 Article Analysis 1 Solved 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-362 Article Analysis 1 Solved                                   

 

Whether one passes or fails an academic assignment such as the Grand Canyon University   HLT-362 Article Analysis 1 Solved 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-362 Article Analysis 1 Solved                                   

 

The introduction for the Grand Canyon University   HLT-362 Article Analysis 1 Solved 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.

 

How to Write the Body for HLT-362 Article Analysis 1 Solved                                   

 

After the introduction, move into the main part of the HLT-362 Article Analysis 1 Solved 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-362 Article Analysis 1 Solved                                   

 

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-362 Article Analysis 1 Solved                                   

 

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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For this assignment:

Search the GCU Library and find three different health care articles that use quantitative research. Do not use articles that appear in the Topic Materials or textbook. Complete an article analysis for each using the \”Article Analysis 1\” template.

Refer to the \”Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial,\” in conjunction with the \”Article Analysis Example 1,\” for an example of an article analysis.

 

Article Analysis 1

Article Citation and Permalink (APA format)	Fazliana, M., Liyana, A. Z., Omar, A., Ambak, R., Nor, N. S. M., Shamsudin, U. K., … & Aris, T. (2018). Effects of weight loss intervention on body composition and blood pressure among overweight and obese women: findings from the MyBFF@ home study. BMC women’s health, 18(1), 25-32. Link: https://link.springer.com/article/10.1186/s12905-018-0592-2	Scheepers, L. E. J. M., Penders, J., Mbakwa, C. A., Thijs, C., Mommers, M., & Arts, I. C. W. (2018). The intestinal microbiota composition and weight development in children: the KOALA Birth Cohort Study. International journal of obesity, 39(1), 16-25. Link: https://www.nature.com/articles/ijo2014178	Labata, C., Oliveras, T., Berastegui, E., Ruyra, X., Romero, B., Camara, M. L., … & Bayes-Genis, A. (2018). Intermediate care unit after cardiac surgery: impact on length of stay and outcomes. Revista Española de Cardiología (English Edition), 71(8), 638-642. Link: https://www.sciencedirect.com/science/article/abs/pii/S1885585717304851
Point	Description	Description	Description
Broad Topic Area/Title	Effects of weight loss intervention on body composition and blood pressure among overweight and obese women	The intestinal microbiota composition and weight development in children.	Intermediate care unit after cardiac surgery: impact on length of stay and outcomes.
Identify Independent and Dependent Variables and Type of Data for the Variables	Dependent variable: Blood pressure: (continuous variable) Independent variable: weight loss intervention (continuous variable)	Dependent variable: intestinal microbiota composition (continuous variable, numeric ) Independent variable: weight development (continuous variable, numeric)	Dependent variable: length of hospital stay after cardiac surgery (categorical variable, ordinal) Independent variable: Patient outcomes (categorical variable, ordinal)
Population of Interest for the Study	Overweight and obese women	pregnant women with a conventional lifestyle and children	Patients undergoing cardiac surgery
Sample	The sample size used was 328 (Control group: 159, Intervention group: 169)	The sample size used was 2834	1324 patients undergoing cardiac surgery
Sampling Method	Simple random sampling method was used to identify the study respondents.	Simple random sampling method was used to identify the research participants.	Simple random sampling method was used to identify the study respondents.
Descriptive Statistics (Mean, Median, Mode; Standard Deviation) Identify examples of descriptive statistics in the article.	Examples of descriptive statistics used in data analysis include: The skeletal muscle weight for the intervention and control groups were 22.35kg and 21.67kg respectively. On the other hand, the standard deviations were + or – 2.8 and +- 2.85 respectively.	Examples of descriptive statistics used include: Mean of lower BMI at the age of 103 Standard deviation=±5 median fiber intake (<15 g per day)	Examples of descriptive statistics used in data analysis include: Mean and standard deviation The ICU length of stay decreased from 4.9 ± 11 to 2.9 ± 6 days (mean ± standard deviation; P < .001
Inferential Statistics Identify examples of inferential statistics in the article.	Example of inferential statistics used in the quantitative research include: ANOVA with Tukey posts hoc test, p-value was less than 0.05 (p< 0.05) Correlation of blood pressure; r = 0.21, p < 0.001	Example of inferential statistics used in the quantitative research include: ü  Correlation, significant (P=0.002 ü  Linear regression BMI z-score of −0.24 (Adjβ 0.24; 95% CI: −0.45 to −0.03) at 103±5 months of age	Example of inferential statistics used in the quantitative research include: Correlation; the correlation coefficient used was 0.05. p = 0.001 for both relationships was also discovered.

 

 

 

 

 

 

References

Fazliana, M., Liyana, A. Z., Omar, A., Ambak, R., Nor, N. S. M., Shamsudin, U. K., … & Aris, T. (2018). Effects of weight loss intervention on body composition and blood pressure among overweight and obese women: findings from the MyBFF@ home study. BMC women’s health, 18(1), 25-32.  https://link.springer.com/article/10.1186/s12905-018-0592-2

Labata, C., Oliveras, T., Berastegui, E., Ruyra, X., Romero, B., Camara, M. L., … & Bayes-Genis, A. (2018). Intermediate care unit after cardiac surgery: impact on length of stay and outcomes. Revista Española de Cardiología (English Edition), 71(8), 638-642. https://www.sciencedirect.com/science/article/abs/pii/S1885585717304851

Scheepers, L. E. J. M., Penders, J., Mbakwa, C. A., Thijs, C., Mommers, M., & Arts, I. C. W. (2018). The intestinal microbiota composition and weight development in children: the KOALA Birth Cohort Study. International journal of obesity, 39(1), 16-25. https://www.nature.com/articles/ijo2014178

 

 

 

 

 

 

 

 

 

 

 

 

 

 

References

Sabaka, P., Dukat, A., Gajdosik, J., Bendzala, M., Caprnda, M., & Simko, F. (2017). The effects of body weight loss and gain on arterial hypertension control: an observational prospective study. European Journal of Medical Research, 22(1), 43. Retrieved from:  10.1186/s40001-017-0286-5

Sepp, E., Kolk, H., Lõivukene, K., & Mikelsaar, M. (2015). Higher blood glucose level associated with body mass index and gut microbiota in elderly people. Microbial Ecology in Health and Disease, 25(1), 22857. Retrieved from: 10.3402/mehd.v25.22857

Gracia, J. E., Serrano, R. B., & Garrido, J. F. (2019). Medication errors and drug knowledge gaps among critical-care nurses: a mixed multi-method study. BMC health services research, 19(1), 1-9. Retrieved from: https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-019-4481-7

When analyzing quantitative articles, it is important to consider the methodologies and statistics that have been used. The methodologies used in a study can influence the results, so it is important to be aware of them. Additionally, the statistics that are used can also be misleading. It is therefore essential to examine both the methodologies and the statistics in order to get a clear understanding of the article’s findings. The purpose of this assignment is to analyze three quantitative articles by identifying the variables, methodologies, and the statistical approaches that have been used.

Article Analysis 1

Article Citation and Permalink (APA format)	Liao, Y. Y., Chu, C., Wang, Y., Zheng, W. L., Ma, Q., Hu, J. W., … & Mu, J. (2020). Sex differences in impact of long-term burden and trends of body mass index and blood pressure from childhood to adulthood on arterial stiffness in adults: A 30-year cohort study. Atherosclerosis, 313, 118-125. Permalink: https://doi.org/10.1016/j.atherosclerosis.2020.10.003	Kelly, L. A., Gee, P. M., & Butler, R. J. (2021). Impact of nurse burnout on organizational and position turnover. Nursing Outlook, 69(1), 96-102. Permalink: https://www.sciencedirect.com/science/article/pii/S0029655420300877	Lee, E., & Kim, Y. (2019). Effect of university students’ sedentary behavior on stress, anxiety, and depression. Perspectives In Psychiatric Care, 55(2), 164. Permalink: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818186/
Point	Description	Description	Description
Broad Topic Area/Title	Sex differences in impact of long-term burden and trends of body mass index and blood pressure from childhood to adulthood on arterial stiffness in adults	Impact of nurse burnout on organizational and position turnover	Effect of university students’ sedentary behavior on stress, anxiety, and depression
Identify Independent and Dependent Variables and Type of Data for the Variables	Independent variable: long-term burden of body mass index (BMI) (Type: continuous, numeric variable) Dependent variable: Arterial Stiffness (AS) (Type: continuous, numeric variable)	Independent Variable: Rates of nurse burnout (Type: continuous, numeric variable) Dependent variable: Organizational and position turnover (Type: continuous, numeric variable)	Independent variable: stress, anxiety, and depression (continuous, numeric variable) Dependent variable: sedentary behavior (categorical variable)
Population of Interest for the Study	School students aged 6–15 years with no chronic diseases in their medical history.	Direct care nurses in different hospitals	University students
Sample	The sample size used was 1553. In other words 1553 individuals aged 6–15 years were considered in the study (Kelly et al., 2021).	The sample size used was 3,135. In other words, a 3,135 direct care nurses were considered in the research process (Lee & Kim, 2019).	The sample size was 244. In other words, 244 students were considered in the study
Sampling Method	Simple random sampling method was used to identify the study participants from the population under the study.	From the study, simple random sampling technique was used to identify the study participants. Survey of direct care nurses was mainly used.	Simple random sampling
Descriptive Statistics (Mean, Median, Mode; Standard Deviation) Identify examples of descriptive statistics in the article.	ü  Media and interquartile range were applied. Median for age in childhood was 12 Quartile 1 was 9, and quartile 3 was 14. ü  Percentages Male constituted 869 (56.0%) Female constituted 684 (44.0%) ü  Mean ü  Standard deviation	ü  Mean Age 39.9 ü  Standard deviation of Age 10.63 ü  Percentages	Some of the descriptive statistics considered in the study include: ü  Mean of Sedentary behavior =7.96 ü  S.D =3.35 ü  Minimum= 0.49 ü  Median = 7.57 ü  Maximum = 18
Inferential Statistics Identify examples of inferential statistics in the article.	Some of the inferential statistics used in the article include: ü  Regression analysis   The standardized regression coefficient, β = 6.45, p < 0.001), ü  Correlation P< 0.05 ü  logistic regression	Some of the inferential statistics used in the quantitative article include: ü  logistic regression with p-value at 0.05 ü  linear regressions were used to predict nurse burnout (partially determined by resiliency	Some of the inferential statistics that have been used include: ü  Independent samples t‐test (at p-value of 0.05) ü  One‐way analysis of variance (ANOVA) (at p-value of 0.05) (Liao et al., 2020) ü  Simple logistic regression

 

Conclusion

When it comes to quantitative article analysis, it’s important to consider the methodologies and statistics that have been used. This is because these factors can impact the results of the analysis and how you interpret them. For example, if a study uses a method that is not as reliable as another method, then you would want to be cautious about relying too heavily on its results. Likewise, if a study has a small sample size or uses a selective group of participants, then you would want to take its findings with a grain of salt. In addition to considering the methodology and statistics used in a study, it’s also important to look at the author’s qualifications. Quantitative methodologies are essential when it comes to obtaining valid results from experiments, surveys and other research. The three articles which this analysis considers each made use of quantitative methods in order to achieve their outcomes. These methodologies are key to the effective application of statistics and data in order to form safe and accurate conclusions. Furthermore, quantitative methodologies serve as crucial tools in evaluating hypotheses, allowing researchers to draw reliable scientific inferences that hold up under scrutiny. Without quantitative methods, any outcomes that result from research would be impossible to verify or refute confidently.

 

References

Kelly, L. A., Gee, P. M., & Butler, R. J. (2021). Impact of nurse burnout on organizational and position turnover. Nursing Outlook, 69(1), 96-102. https://www.sciencedirect.com/science/article/pii/S0029655420300877

Lee, E., & Kim, Y. (2019). Effect of university students’ sedentary behavior on stress, anxiety, and depression. Perspectives In Psychiatric Care, 55(2), 164. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818186/

Liao, Y. Y., Chu, C., Wang, Y., Zheng, W. L., Ma, Q., Hu, J. W., … & Mu, J. (2020). Sex differences in impact of long-term burden and trends of body mass index and blood pressure from childhood to adulthood on arterial stiffness in adults: a 30-year cohort study. Atherosclerosis, 313, 118-125. https://doi.org/10.1016/j.atherosclerosis.2020.10.003