Module Title :- Applied Epidemiology and Statistics in the Global Context
Module code :- PSYC-1115
Level :- 7
Coursework Title :- Report
Weighting (%) :- 100%
Aims and learning outcomes :
This assessment involves analysis and interpretation of a public health related data set, and the preparation of technical report.
This assessment has the following aims:
• To increase your understanding of statistical techniques by applying them to data
• To build your confidence in using statistical software
• To gain skills in sourcing and retrieving health and epidemiological information
• To help you acquire the skills necessary to write and present a technical report.
PSYC-1115 Applied Epidemiology And Statistics In The Global Context – UK.

Learning outcomes assessed by this report:
1.Apply fundamental principles of bio statistics to global public health issues.
2.Perform basic statistical tests to analyse public health data.
3.Critically discuss and apply the principles of epidemiology in global public health.
4.Critique the limitations and applications of different epidemiological research designs in public health.

PSYC-1115 Applied Epidemiology And Statistics In The Global Context Assignment – Greenwich University UK.

2.Rationale for the assessment
Choosing and applying statistical tests to a data set provided and interpreting the output will increase students’ familiarity with statistical methods, build their critical interpretive skills and enhance their skills in critically appraising epidemiological information and methods.

3.Guidelines for the assessment
Task: Each student will be provided with a data set and will analyse the data, interpret the results and prepare a technical report of the findings.

The data are derived from the Health Survey for England 2003 dataset. Students will be provided with different versions of the data set; thus, study findings may differ slightly between students.

Because we are not using the complete survey database and some changes have been made to the description of the methodology to simplify comprehension of the data, we will refer to the country as Pink land instead of England for the purpose of this assessment.

You will be provided with a data set (Pink land. SAV) in SPSS format. Make sure you can open the database in SPSS.

Analysing the data
It is for you to decide what are the appropriate methods using the knowledge you’ve learned from the material studied in this module.

PSYC-1115 Applied Epidemiology And Statistics In The Global Context – UK.

Analysis:
i.Descriptive statistics & descriptive epidemiology of the sample & main outcome variable (BMI)
ii. Inferential statistics & analytical epidemiology (association between BMI and other variables)

Write an extended technical summary about your findings. At a minimum, the report should provide estimates for men and women of the prevalence of overweight and obesity and identify which population groups are most at risk.

You must carefully consider which of the output from SPSS is necessary to include in the technical report. Do NOT cut and paste tables directly from the SPSS output files without deleting superfluous text and figures. Please edit the charts to make them reader friendly.

Round values for your data to no more than four significant figures. (For the same number of significant figures, different variables will have different numbers of decimal places because they are measured using different units. For example, mean Z scores may have three decimal places, while mean weight in kg might only have one or two.) Also, except for very small p-values, values of most test statistics should be rounded to two decimal places.

Please remember:
For the purposes of writing your report, the data are from Pink land even though you know that the data are actually from England.

Completing the assessment
While you may wish to discuss ideas with other students about how to analyse the data, it is absolutely essential that you write up your results individually. Working together on your written work is considered a form of cheating and is an assessment offence.

You will most likely choose to analyse your data and present your findings in different ways from your classmates and there is no single correct approach.

a. Minimum recommended process for data analysis and for reporting of the findings
You should always clearly state the objectives of your analyses. For example, ‘A paired t-test was performed to assess the mean difference in x between the two sets of observations.’

Descriptive statistics
1. Summarise the demographic characteristics of the sample in terms of age, sex, ethnicity, and marital status. You could treat age as a continuous variable, and/or group it into appropriate categories.
2.You can also summarise variables such as car ownership, family size and limiting longstanding illness.
3.Create a new continuous variable, BMI, from the values of weight and height. Remember BMI is measured as weight in kilograms (kg) divided by the square of height in metres (m). The units for BMI are kg/m 2
4. Summarise the data relating to BMI. You will need to include measures of location (or central tendency) and measures of spread (variation) and to report confidence intervals.
5. In order to give prevalence rates of overweight and obesity, create a new categorical variable from BMI using the threshold values of 18.5, 25 and 30 as follows:
o BMI <18.5 = under weight
o BMI from 18.5 to 24.99 = normal weight
o BMI ≥ 25.00 = overweight
o BMI ≥ 30.00 = obese
6. If the data allows you can further classify the obese group into: Obese class
1 (BMI from 30 to 34.99); Obese class 2 (BMI from 35.00 to 39.99); Obese class
3 (BMI ≥ 40.00).

Inferential statistics and analytical epidemiology
I. Investigate if and how BMI is associated with age, sex, and educational attainment.
II.You can choose whether you use BMI as a continuous variable or as the derived categorical variable.
III. You can choose how to use age (continuous or categorical) and educational attainment (if you prefer to condense education into fewer categories or use the number of categories originally defined).

b. Additional analysis (optional)
Investigate the association of BMI with ethnicity, car ownership, occupation and presence of long-standing illness. You can also look at the association between presence of long-standing illness and ethnicity and check if the burden of disease is distributed evenly across ethnic groups or not. Again, you are free to re-group the variables. For example, ethnicity could be treated as a binary variable (white vs non-white).

c. Report writing: Guidance on the style of a technical report
Technical/ executive summaries are briefing documents written by technical experts on specific topics for decision-makers (often civil servants, programme managers or administrators.) They are commissioned to provide information on specific questions or issues and to provide a basis for decision- making and action. As such they should put forward all the relevant facts and set out the relevant issues. The aim is to inform the reader sufficiently to enable her/him to understand the reasons for and implications of any decisions and subsequent actions that she/he takes. Information presented in the report should not include personal views that are not supported by the data or by other evidence/literature. You should assume that the person you are writing for is intelligent and proficient, but busy, and not an expert in
relation to the issue in hand. The report should include a short background, aim(s) of the report, key results a discussion and conclusions.

Below are suggestions of content that should be covered in each section:
Introduction
1. Why overweight/obesity is an important issue in this particular country (You can use data and evidence from England and the UK to support this section).
2. Why this survey is needed

Objectives
1.Clear statement of the aims of the report

Methods
i. Brief description of data collection and sampling procedure
ii. Important features of the study design and quality control
iii. Description of how the variables used in the analysis were defined
iv. Description of the analysis plan for descriptive and inferential statistics (for categorical and continuous variables) and of the software used for analyses

Results
i. Description of the sample (e.g. age distribution, gender, socio-economic status, demographics, etc), descriptive statistics for the nutritional variables (BMI) and for other health outcomes used in the analysis
ii. Presentation of the results of analytical analyses (associations between BMI and other variables).
iii. At least one table and one graph

PSYC-1115 Applied Epidemiology And Statistics In The Global Context – UK.

Discussion and conclusions
i Compare your findings to the WHO values (for example) which indicate a crisis and to other relevant literature on the topic
ii. Suggested reasons for the patterns and trends in the data based on the research and literature
iii. Identify any limitations of your data analysis and the survey methodology
iv.Identify the need for intervention to address the problems identified and make recommendations

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