Assignment:
Instructions
1. Write legibly and clearly. No spelling or grammar mistakes. Please write in complete sentences. All acronyms and abbreviations must be clearly spelt out and described.
2. Use font size of 12 or above. Use bulleted lists for listing.
3. Write in your own words free of jargon.
4. This is similar to the 2 short cases we discussed in class.
5. Read the following case and then answer the questions exactly only in the space provided. Do not exceed suggested limits on the length of the answers. Write the answer below the question. Write briefly and to the point. Lengthy answers with irrelevant information invite penalties.
6. You can use this Word document to complete your assignment.
7. This is not an essay or term paper.
CASE STUDY: Sleep Problems Tied to Type 2 Diabetes
Women with sleeping difficulties are at increased risk for Type 2 diabetes, researchers report.Scientists used data from 133,353 women who were generally healthy at the start of the study. During 10 years of follow-up, they found 6,407 cases of Type 2 diabetes.
The researchers looked at four sleep problems: self-reported difficulty falling or staying asleep, frequent snoring, sleep duration of less than six hours, and either sleep apnea or rotating shift work. The study is in Diabetologia.
Self-reported difficulty sleeping was associated with higher B.M.I., less physical activity, and more hypertension and depression. But even after adjusting for these and other health and behavioral characteristics, sleeping difficulty was still associated with a 22 percent increased risk for Type 2 diabetes.
Compared to women with no sleep problems, those with two of the sleep conditions studied had double the risk, and those with all four had almost four times the risk of developing the illness.
The senior author, Dr. Frank B. Hu, a professor of nutrition and epidemiology at Harvard, said that sleep problems are associated with excess secretion of two hormones: ghrelin, which increases appetite, and cortisol, which increases stress and insulin resistance. Both are linked to metabolic problems that increase the risk for diabetes.
"And," he added, "it's not just quantity of sleep, but quality as well" that is associated with these health risks.
1. What is the research question in this study? How is ‘analytics' useful in this study?
2. State the hypothesis (es).
3. Identify the possible independent & dependent variables. Which of these can be control/intervening variables?
4. State 5 characteristics of this study (e.g., it is longitudinal study of 10 years).
5. Describe the data.
6. Is causality established in this study? Explain.
7. What types of analytics are useful here? Consider the 4 types discussed in class. Give example of each in context.
8. What are the scope and limitations of this study? List.
9. Identify managerial conclusions drawn from this study. List.
10. Lastly, discuss briefly the implications. How will the insight from the study help the stakeholders in public health delivery?