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.

Sample Answer for HLT-362 Article Analysis 1 Solved

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

Sample Answer 2 for HLT-362 Article Analysis 1 Solved

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 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

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

Sample Answer 3 for HLT-362 Article Analysis 1 Solved

Article Citation and Permalink (APA format)	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. Link: 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. Link: 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. Link: https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-019-4481-7
Point	Description	Description	Description
Broad Topic Area/Title	The effects of body weight loss and gain on arterial hypertension control	The relationship between higher blood glucose levels with body mass index and gut microbiota among elderly people.	Medication errors and drug knowledge gaps among critical-care nurses
Identify Independent and Dependent Variables and Type of Data for the Variables	Dependent variable: Blood pressure: (continuous variable) Independent variable: Body weight and body weight gain (continuous variable)	Dependent variable: Body Mass Index (continuous variable, numeric ) Independent variable: Blood glucose level (continuous variable, numeric)	Dependent variable: Medication errors (categorical variable, ordinal) Independent variable: Drug knowledge gaps among critical-care nurses (categorical variable, ordinal)
Population of Interest for the Study	Patients with the history of arterial hypertension	Elderly persons (>65 years); in other words, the study focused on the population of elderly people above the age of 65 years.	The population of interest in the study included nursing professionals operating in intensive case units
Sample	16, 564 patients with the history of arterial hypertension. 13,631 finished one-year follow-ups (6336 men; 7295 women)	There were 38 elderly persons selected for the study recruited: Ambulatory (n=19) and Orthopedic surgery (n=19).	87 admitted episodes was selected from the total admissions over a period of one year.
Sampling Method	Simple random sampling method was used to identify the study respondents.	Simple random sampling method was used to identify the 38 elderly patients to take part in the study process.	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: Mean change in BMI for men was 58.65, standard deviation was 11.85 Mean change in BMI for female participants was 63.57 with a standard deviation of 11.57 (Sabaka et Al., 2017)	Examples of descriptive statistics used include: Mean for body mass index for the sample size was 27.1, with a standard deviation of 4. Mean for systolic blood pressure was 134mmHg, with a standard deviation of 16.1 (Sepp et al., 2015)	Examples of descriptive statistics used in data analysis include: The mean age of the participants was 57.7, with a standard deviation of 16.13. On the other hand, the mean age for the duration of stay in the hospital was 5.97 days, with a standard deviation of 7.41 (Gracia et al., 2019)
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)	Example of inferential statistics used in the quantitative research include: ü T-test for the unpaired samples The critical t-value obtained was p<0.05, p=0.004, p=0.02, p= 0.001 ü Chi-square test was also used with the value of p<0.05	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

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

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