Create an Annotated Bibliography, writing a three- to five-sentence summary of each article from the 10 references listed bellow

 

1.     Allen, L. N. (2020). Implementation of non-communicable disease policies: a geopolitical analysis of 151 countries. The Lancet Global Health, 8(1), e50-e58.Alwan, A. (2018). Global status report on Non-communicable diseases in 2010. World Health Organization.

2.     Bloom, D. E. (2012). The global economic burden of non-communicable diseases (No. 8712). Program on the Global Demography of Aging

3.     Dambah, C. (2015) Non-communicable disease risk factors and mobile phones: A proposed research plan. PubMed Central (PMC). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5438453/

4.     Hunter, D. J., & Reddy, K. S. (2018). Non-communicable diseases. New England Journal of Medicine, 369(14), 1336-1343.

5.     Goiana-da-Silva, F (2018) Developmental origins of non-communicable disease: Population and public health implications. (2011, April 27). OUP Academic. https://academic.oup.com/ajcn/article/94/suppl_6/1754S/4597866

6.     Kim, H. C. (2018). Non-communicable diseases: Current status of major modifiable risk factors in Korea. Journal of Preventive Medicine & Public Health, 46(4), 165-172. https://doi.org/10.3961/jpmph.2013.46.4.165

7.     Lawson, X.C. (2019) Mitigation of non-communicable diseases in developing countries with community health workers. https://doi.org.globalizationandhealth.biomedcentral.com/articles/

8.     Lee, I. M. & Lancet Physical Activity Series Working Group. (2017). Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of disease and life expectancy burden. The Lancet, 380(9838), 219-229.

9.     Nicholson (2017).Global research priorities for non-communicable diseases prevention, management, and control (2017) https://doi.ijncd.org/article.asp?issn=246

10.  Yeng B.Y. (2017) Agent-based modeling of non-communicable diseases: A systematic review. (n.d.). PubMed Central (PMC). https://doi ncbi.nlm.nih.gov/pmc/articles/PMC4330820/

 

·       There should be a title page and then these sources should be listed according APA guidelines as they would be on a reference page.

 

·       For Each individual reference listed above followed by the corresponding summary (DON’T include the whole reference name just the title+ writer name in the paper context ).you can number the reference and just write reference no followed by the summary 

Look for relevant literature on a topic of interest to you paying attention to the methods of collecting and analyzing data and ethical research practices.

 

·       This is an opportunity to practice synthesizing the author’s words. Do not use quotes; rather, put the author’s ideas into your own words. provide summaries for each of your articles.

 

The following resources will also help you with this assignment:

·       Annotated Bibliographies: https://owl.purdue.edu/owl/general_writing/common_writing_assignments/annotated_bibliographies/index.html

·       General Format:

·       https://owl.purdue.edu/owl/research_and_citation/apa_style/apa_formatting_and_style_guide/general_format.html

 

 

Using the Framingham Heart Study dataset

you will compare the risk factors in men and women where you will use the following patient characteristics: age, systolic blood pressure, diastolic blood pressure, use of anti-hypertensive medication, current smoker, total serum cholesterol, mg/dL, body mass index (BMI), and diabetes, by determining the means for each risk factor.

Create a table that summarizes your results.

H0 The risk factors for heart disease listed as patient characteristics are not related to if the patient is male or female in the Framingham Heart Study. (Null Hypothesis) H1 The risk factors for heart disease listed as patient characteristics are related to if the patient is male or female in the Framingham Heart Study. (Alternative Hypothesis)

Steps of R Studio Analysis shown on page 67 in Introductory Statistics with R.

Steps of Excel Analysis

To conduct your analysis of the data sort the data by the Sex/Gender variable and sort by smallest to largest.

Compute the means and standard deviations for continuous variables using AVERAGE(range) and STDEV(range) functions – Compute n(%) for dichotomous variables using COUNT(range) and COUNTIF (range, criteria) functions modifying ranges accordingly.

Present your findings by cutting and pasting your results table in a Word document that includes:

–  title page, 

– introduction, 

– a discussion where you interpret the meaning of the table

 – conclusion should be included. 

Your submission should be 3 pages to discuss and display your findings.

Provide support for your statements with in–text citations from a minimum of four scholarly, peer–reviewed articles. One of these sources may be from the class readings, textbook, or lectures, but the others must be external. 

 

Your paper must have

 

·       Introduction

·       involved all the description requirements

·       In text citation for each paragraph.

·       the date of references must be (recommend that you use more contemporary sources (last 5 years) not from provided materials

·       conclusion

Materials:

Sullivan, L. M. (2018). Essentials of biostatistics in public health (3rd ed.). Jones & Bartlett: Boston, MA. ISBN-13: 9781284108194 Salkind, N. J. (2016).

EXCEL statistics: A quick guide (3rd ed.). Sage. Dalgaard, P. (2008).

Introductory statistics with R (2nd ed.). Springer. ISBN-13: 978-0387790534

Framingham Heart Study Dataset

 

we learned the methods to use in order to quantify the extent of a disease by defining prevalence (the proportion of the population that have a risk factor under study) and incidence (the likelihood of developing a disease). 

– find articles on “outcomes research,” 

– then, compare and contrast outcomes research with traditional clinical research. 

-Research and evaluate the role that outcomes research plays in the research conducted in Saudi Arabia.

Using the Framingham Heart Study dataset

provided, perform the ANOVA multivariable linear regression analysis using BMI as a continuous variable. Before conducting the analysis, be sure that all participants have complete data on all analysis variables.

Describe how each characteristic is related to BMI. Are crude and multivariable effects similar? What might explain or account for any differences?

H0 The BMI is not related to the patient characteristics in the Framingham Heart Study. (Null Hypothesis)

H1 The BMI is related to the patient characteristics in the Framingham Heart Study. (Alternative Hypothesis)

Upload both Excel sheet into R Studio. (Refer to Chapters 7 & 12 in Introductory Statistics with R or pages 111–122 in EXCEL Statistics A Quick Guide). Exclude participants with missing data on analysis variables (age, sex, systolic blood pressure, total serum cholesterol, current smoker, and diabetes = cleaning the data). Conduct the simple linear regression (ANOVA) by using the Excel Regression tool in the Data Analysis Toolpak.

Remember SEX is coded 1=male and 2=female.

Present your findings in a Word document by copying and pasting the ANOVA table into the document. Your paper must be written with a title page, an introduction, a discussion where you interpret the meaning of the ANOVA test, and a conclusion should be included. Your submission should be 2 pages to discuss and display your findings.

Provide support for your statements with in–text citations from a minimum of four scholarly, peer–reviewed articles. One of these sources may be from the class readings, textbook, or lectures, but the others must be external.

Your paper must have

•            Introduction

•            involved all the description requirements

•            In text citation for each paragraph.

•            the date of references must be (recommend that you use more contemporary sources (last 5 years) not from provided materials

•            conclusion

 

Martials:

Sullivan, L. M. (2018). Essentials of biostatistics in public health (3rd ed.). Jones & Bartlett: Boston, MA. ISBN-13:9781284108194

Salkind, N. J. (2016). EXCEL statistics: A quick guide (3rd ed.). Sage.

Dalgaard, P. (2008). Introductory statistics with R (2nd ed.). Springer. ISBN-13: 978-0387790534

Framingham Heart Study Dataset