Report on Interpretation of Public Health Data

Added on - 21 Apr 2020

  • 15

    pages

  • 2008

    words

  • 3

    views

  • 0

    downloads

Showing pages 1 to 4 of 15 pages
Running Head: INTERPRETATION OF PUBLIC HEALTH DATAInterpretation of Public Health DataName of the StudentName of the UniversityAuthor Note
1INTERPRETATION OF PUBLIC HEALTH DATAExecutive SummaryThe main aim of this research is to identify the causes that are effective for diabetes to thepeople. We discuss about research questions, different types of hypotheses, testing procedures,dependent and independent variables of four different case studies with the help of data. The datais already analyzed and conclusions are provided. We are eager to complete mainly four differenttasks on analyzed four case studies.
2INTERPRETATION OF PUBLIC HEALTH DATATable of ContentsIntroduction......................................................................................................................................3Research Questions:-.......................................................................................................................3Hypotheses:-....................................................................................................................................4Dependent and Independent variables:-...........................................................................................6Used Statistical Tests:......................................................................................................................7Conclusion.......................................................................................................................................9References......................................................................................................................................10
3INTERPRETATION OF PUBLIC HEALTH DATAIntroductionThroughout the report there is description about the four case studies and theirconclusions. Our actual aim is to find the importance of education on business. Study 1 data iscollected from over 29 million people. Many dependent and independent factors like educationlevel, CHD mortality or diabetes status are involved in that. Study 2 data is collected from the85867 individuals by National Health Interview survey to check the presence of cardiovasculardisease (CVD) mortality and non-CVD mortality. Here also education level is a crucial factor.Study 3 data is collected from 10704 participants of Qingdao Port Health Study (QPHS). Wehave independent and dependent variables like height, weight, blood pressure or totalcholesterol. Applying regression model, we are eager to find the relevance between educationallevel and diabetes. Finally, in case study 4 we again apply regression model to find the relationbetween educational achievement and incident T2DM (type 2 diabetes Mellitus).According to past studies, cardiovascular diseases have an extremely positivesignificance in the occurrence of diabetes.Research Questions:-The report presents few research questions for four case-studies. The main objective is tofind whether educational levels have significant effect on the diabetes mellitus (Hinton, 2014).The case study 1:On the survey of 519 adults, the research question is that in the Swiss context,diabetic characteristic has significant effect and association with education and quality of care ornot.
desklib-logo
You’re reading a preview
card-image

To View Complete Document

Become a Desklib Library Member.
Subscribe to our plans

Download This Document