Descriptive Epidemiology in Nursing: Diabetes in Asian Americans
This paper examines the role of descriptive epidemiology in public health nursing, using type 2 diabetes among Asian-Americans as a contemporary case study. It explains how descriptive epidemiologic methods address the who, what, where, and when of disease occurrence by analyzing variables such as race, ethnicity, culture, diet, and environment. The paper highlights how aggregated data on the broad Asian-American category masked significant disparities in diabetes prevalence across ethno-groups, and how disaggregating that data revealed Filipino-Americans as the highest-risk subgroup. It concludes by discussing how these findings inform targeted intervention and prevention strategies within the Diabetes Prevention Program.
- Introduction to Descriptive Epidemiology in Nursing: Defines descriptive epidemiology and its nursing relevance
- Applying Descriptive Epidemiology to Diabetes in Asian-Americans: Introduces diabetes as a growing problem in Asian-Americans
- Challenging the Myth: Diabetes Burden Among Asian-American Subgroups: Debunks assumption that Asian-Americans have low diabetes risk
- Disaggregating Data to Reveal Ethnic-Specific Risk Rates: Shows prevalence rates differ widely across ethno-groups
- Developing Targeted Interventions Using Epidemiologic Components: Explains how findings guided prevention strategies for high-risk groups
- Conclusion: Summarizes value of descriptive epidemiology for nursing practice
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What makes this paper effective
- The paper uses a single, well-developed case study — diabetes among Asian-Americans — to ground abstract epidemiologic concepts in concrete, data-driven evidence.
- It clearly organizes the argument around the core descriptive epidemiology framework (who, what, where, when), making the structure easy to follow.
- The paper demonstrates critical thinking by identifying how aggregated data can obscure real health disparities, then explaining how disaggregation corrects this problem.
- Specific prevalence statistics (e.g., 15.8% among Filipino-American men vs. 2.5% among Vietnamese-American males) strengthen the analytical claims with quantitative evidence.
Key academic technique demonstrated
The paper effectively uses a move from general principle to specific application: it first defines descriptive epidemiology broadly, then applies those principles to a real population and real data. This deductive structure allows the writer to show command of both theory and practice, and the use of direct quotation is balanced with paraphrase and analysis rather than letting sources speak without commentary.
Structure breakdown
The paper opens with a definition and rationale for descriptive epidemiology in nursing, then transitions into its chosen case study. Three body sections progressively deepen the analysis — from establishing the problem, to revealing the flaw in aggregated data, to showing how disaggregated findings enabled targeted interventions. A brief conclusion synthesizes the practical value of descriptive epidemiology for nursing practice. The paper is tightly focused and moves logically from concept to evidence to implication.
Introduction to Descriptive Epidemiology in Nursing
The role of descriptive epidemiology in nursing science is very important, as it helps provide information that nurses can use to prevent the spread of disease, develop effective interventions, and engage in further research. A descriptive epidemiologic study examines a specific population and identifies the amount and distribution of health and disease within that population (Giroux, 2015). Descriptive epidemiology looks at variables such as person, place, and time — variables that affect the incidence of disease. Race, sex, age, socioeconomic status, geography, environment, and patterns of appearance are all factors that descriptive epidemiology considers when attempting to classify a disease's occurrence (Hsu, Araneta, Kanaya, Chiang, & Fujimoto, 2015).
The role of descriptive epidemiology in nursing is thus situated in the idea that it provides education, information, and a pathway to strategies for helping patients and preventing the spread of disease (Saggu, Rehman, Abbas, & Ansari, 2015). This paper provides a contemporary example of how descriptive epidemiology is applied in public health nursing and identifies the components used to analyze at-risk populations. The chosen focus is diabetes among Asian-Americans.
References
Giroux, É. (2015). Epidemiology and the bio-statistical theory of disease: A challenging perspective. Theoretical Medicine and Bioethics, 36(3), 175–195.
Hsu, W. C., Araneta, M. R. G., Kanaya, A. M., Chiang, J. L., & Fujimoto, W. (2015). BMI cut points to identify at-risk Asian Americans for type 2 diabetes screening. Diabetes Care, 38(1), 150–158.
Nguyen, T. H., Nguyen, T. N., Taylor-Fischer, W. H., & Tran, T. V. (2015). Type 2 diabetes among Asian Americans: Prevalence and prevention. World Journal of Diabetes, 6(4), 543.
Saggu, S., Rehman, H., Abbas, Z. K., & Ansari, A. A. (2015). Recent incidence and descriptive epidemiological survey of breast cancer in Saudi Arabia. Saudi Medical Journal, 36(10), 1176.
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