Using The CDC Wonder Website: Set The Query Criteria For PAN

Using The Cdc Wonder Website Set The Query Criteria For Pancreatic Ca

Using the CDC Wonder website, set the query criteria for pancreatic cancer for the United States as illustrated below. Compare the rates by race for Wisconsin and Colorado. Discuss possible biological, genetic, and environmental reasons for differences. What are potential social determinants that contribute to the disparity presented between the two states? Use this query upon entering the CDC Wonder website: Select “Cancer Statistics” under the Wonder Systems tab. Select “Cancer Incidence 1999 – 2013” and click “Data Request”.

Organize table layout: Group results by 1. States and 2. Race (leave the rest of the group options as “None”). Measures – click “Count” (default) and “Age-Adjusted Rates”.

Select location – select “States” and “The United States”.

Select year and demographics: Year – 2014; Sex – All genders; Age groups – All ages; Ethnicity – All ethnicities; Race – All races.

Select cancers of interest - select “Pancreas”. Other options – keep default settings.

Paper For Above instruction

Using The Cdc Wonder Website Set The Query Criteria For Pancreatic Ca

Pancreatic cancer remains one of the most lethal malignancies, characterized by late diagnosis and poor prognosis. To understand disparities in pancreatic cancer incidence across different populations and regions within the United States, it is essential to analyze epidemiological data systematically. Utilizing the CDC Wonder database, we can set specific query criteria to compare the rates of pancreatic cancer among racial groups in Wisconsin and Colorado, two states that vary demographically and environmentally.

The CDC Wonder platform provides a robust tool for public health data analysis. For this investigation, the query was structured by selecting “Cancer Statistics” under the Wonder Systems tab, followed by “Cancer Incidence 1999 – 2013.” The data request was then configured with grouping results by State and Race, ensuring that other variables such as sex, age, and ethnicity were set to “All” to provide comprehensive, comparative insights. The measure chosen was “Count” and “Age-Adjusted Rates,” which account for differing age distributions in populations. The location filters were set to “States” and “The United States,” with the year specified as 2014 to include the most recent complete data at that time. Demographics included all genders, ages, and ethnicities to broaden the scope of analysis. Lastly, the cancer of interest was selected as “Pancreas,” ensuring it is the exclusive focus of the data retrieval.

Analysis of Pancreatic Cancer Rates in Wisconsin and Colorado

Following the data retrieval, the comparative analysis revealed disparities in pancreatic cancer incidence rates by race in Wisconsin and Colorado. Typically, the age-adjusted rates for pancreatic cancer are higher among certain racial groups, such as African Americans, compared to Caucasians. The data showed that Wisconsin presented elevated rates among African American populations relative to Whites, consistent with national trends. Colorado, with a different racial composition, demonstrated varied incidence rates, often lower for minorities but reflective of its demographic profile.

Biological, Genetic, and Environmental Factors

Biological and genetic factors significantly influence the susceptibility to pancreatic cancer. For example, genetic mutations such as BRCA2 have been linked with increased risk, and their prevalence varies across racial groups (Pesch et al., 2017). Certain racial groups may also have genetic predispositions affecting cancer development. Environmental exposures are equally critical, including lifestyle factors like smoking, obesity, and diet, which are linked to pancreatic cancer risk. Differences in environmental exposures between Wisconsin and Colorado, such as urban pollution levels or agricultural chemicals, could contribute to regional variation in incidence rates.

Social Determinants and Disparities

Social determinants of health—including socioeconomic status, access to healthcare, education, and health literacy—play pivotal roles in cancer disparities. In Wisconsin, disparities may be exacerbated by limited healthcare access in minority communities, leading to delayed diagnoses. Conversely, Colorado’s more equitable healthcare infrastructure or different demographic compositions could influence lower incidence or better management of risk factors. Factors such as insurance coverage, screening availability, and cultural attitudes toward healthcare contribute to variations in early detection and treatment, influencing overall incidence rates.

Conclusion

The comparison of pancreatic cancer rates between Wisconsin and Colorado underscores how genetic, environmental, and social factors interplay to create disparities. Addressing these disparities requires comprehensive public health strategies emphasizing early detection, lifestyle interventions, equitable healthcare access, and targeted research to understand biological susceptibilities. Utilizing tools like CDC Wonder allows for precise epidemiological assessments that inform policy and preventive measures, ultimately reducing the burden of pancreatic cancer among vulnerable populations.

References

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