DPH 801 Module 1 Determinants and Roots of Disparities Example

Reviewed by Douglas Renshaw, MBA Aspen University Updated September 2026

This DPH 801 Module 1 sample paper traces the determinants behind racial disparities in uncontrolled hypertension in a composite city of 620,000. Health Determinants, Disparities, Behavior and Promotion opens Aspen University's Doctor of Public Health program with the theories and models behind healthy behavior change, applied to real disparities. Black adults with hypertension in the city are about 40% more likely than White adults to remain above 140/90, a gap that survives adjustment for insurance. A five-row table runs from clinical and behavioral factors through food, housing and work conditions to segregation and discrimination. Reviews on the causes of the causes, discrimination as a chronic stressor and structural racism anchor the analysis, followed by life course effects, intersections, measurement, policy levers and implications for choosing theory.

CourseDPH 801 Health Determinants, Disparities, Behavior and Promotion
ModuleModule 1
Paper typeDoctoral determinants analysis
LengthAbout 1,058 words, 6 pages
FormatAPA 7 student paper
SchoolAspen University
ProgramDoctor of Public Health
UpdatedSeptember 2026

Free sample paper for DPH 801 Module 1

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The Causes of the Causes: Determinants Behind Racial Disparities in Uncontrolled Hypertension

Student Name

Doctor of Public Health Program, Aspen University

DPH 801: Health Determinants, Disparities, Behavior and Promotion

Instructor Name

Month Day, Year

What this page is doingThe title borrows the determinants framing that runs from clinical factors to structural forces. APA 7 student title page.
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The Causes of the Causes: Determinants Behind Racial Disparities in Uncontrolled Hypertension

Disparities in health do not arise from individual choices alone. They follow patterns laid down by where people live, what work they do, how they are treated and what resources their communities hold. A doctoral public health practitioner must trace a disparity from its visible clinical expression back to the structures that produce it. This paper traces the determinants of racial disparities in uncontrolled hypertension in a composite city, as a foundation for choosing theories and interventions later in the course.

The Disparity

In the composite city of 620,000, Black adults with hypertension are about 40% more likely than White adults with hypertension to have blood pressure above 140/90 despite diagnosis, and stroke death rates among Black residents are nearly twice those of White residents. The gap persists after accounting for insurance status, suggesting that more than access to a clinic is involved.

What this page is doingShowing that the gap persists after insurance is accounted for signals to the grader that the analysis must look beyond access.
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Causes of the Causes

A widely cited review urged public health to trace problems back to the causes behind the causes, the policy-shaped conditions of daily life that set people's exposure to risk and their access to resources from childhood onward. It emphasized that health behaviors themselves are shaped by these conditions, so interventions targeting behavior alone rarely close gaps (Braveman & Gottlieb, 2014).

Determinants by Level

The table traces hypertension disparities from downstream to upstream.

LevelDeterminantPathway to uncontrolled blood pressure
Downstream: clinicalMedication intensification, adherence, visit frequencyTreatment not adjusted; doses missed
Downstream: behavioralSodium intake, physical activity, alcohol, sleepHigher pressure through diet and stress
Midstream: living conditionsFood environment, neighborhood safety, housing qualityFewer healthy options; less activity; chronic stress
Midstream: workShift work, job strain, lack of paid leaveMissed appointments; stress; poor sleep
Upstream: structuralResidential segregation, discrimination, wealth gaps, policingConcentrated disadvantage and chronic stress

Discrimination as a Stressor

A review of research on discrimination and health found that self-reported discrimination is associated with poorer mental and physical health, including elevated blood pressure and cardiovascular risk markers, through pathways involving chronic stress, altered health behaviors and reduced access to quality care (Williams & Mohammed, 2009). Repeated exposure to discrimination can act as a persistent stressor that raises blood pressure over time.

Structural Racism

Structural racism describes how interlocking institutions, from housing markets and schools to lending, labor, media, medicine and policing, produce and sustain racial inequity even without individual intent. A review in a major medical journal described how historical redlining, segregation and unequal investment continue to shape health, and argued for interventions that address structures rather than individuals alone (Bailey et al., 2017).

Applying Structure to the City

In the composite city, neighborhoods redlined in the 1930s still have lower home values, fewer grocery stores, more fast-food outlets and fewer primary care practices per resident. Residents work disproportionately in hourly jobs without paid sick leave, making daytime appointments costly. These conditions shape the downstream factors clinicians see: missed visits, high-sodium diets and stress.

Life Course Perspective

Determinants accumulate across the life course. Childhood poverty, adverse experiences and early exposure to stress are associated with higher blood pressure in adulthood. A life course view helps explain why disparities appear early and widen with age, and it points to prevention before hypertension develops. Programs for young adults, such as screening at community colleges and workplaces, can catch rising pressure before it becomes entrenched.

Measuring Determinants

Measuring structural determinants is difficult. Analysts use proxies such as neighborhood deprivation indexes, segregation measures, historical redlining maps, eviction rates and wealth data, alongside survey measures of discrimination. Each has limits, and combining area-level and individual-level measures gives a fuller picture.

Implications for Theory Choice

Because hypertension disparities are driven at every level, individual-level behavior theories alone will not suffice. Later modules will compare individual, interpersonal and community theories and consider how they can be combined, for instance by addressing individual beliefs within community settings that residents trust and by pairing programs with policy change.

Ethical Considerations

Analyzing disparities through determinants avoids blaming individuals for conditions they did not create. It also carries responsibility: naming structural racism implies that public health must engage with policies in housing, labor and justice, not only health care.

Health Care as a Determinant

Health care itself can reproduce disparities. Black patients are less likely to have medication intensified when blood pressure is high, are more likely to receive care in under-resourced clinics and report more experiences of being dismissed by clinicians. These patterns reflect bias and institutional practices, not only patient behavior, and they fall within public health's scope.

Neighborhood Food and Activity Environments

Sodium-heavy processed foods are cheaper and more available in many segregated neighborhoods, while fresh produce is scarce. Unsafe streets and few parks limit walking. These environments make the healthy choices recommended for blood pressure harder, which is why food access and built environment appear at the midstream level of the analysis.

Intersections of Determinants

Determinants interact. A man working two hourly jobs in a neighborhood without a grocery store, who has experienced discrimination at clinics, faces compounding barriers. Analyses that isolate single factors may miss how they combine, so doctoral practitioners should consider intersections of race, income, gender and place.

Data Sources for the Analysis

The analysis would draw on electronic health record data for blood pressure control by race and neighborhood, the behavioral risk survey, census data on income and segregation, historical redlining maps, food environment databases and qualitative interviews with residents, each chosen to illuminate a different level.

Policy Levers

Because the causes are structural, levers lie partly outside health: affordable housing, minimum wage and paid sick leave, investment in grocery stores and parks in disinvested neighborhoods, anti-discrimination enforcement in health care and expanded insurance coverage. Public health can advocate for these alongside clinical and behavioral programs.

Summary of the Analysis

Taken together, the analysis shows a chain from structural history to present-day neighborhood conditions, work constraints, care quality and, finally, the blood pressure readings clinicians record.

Conclusion

Racial disparities in uncontrolled hypertension in the composite city arise from clinical and behavioral factors that are themselves shaped by living and working conditions and by structural forces such as segregation and discrimination. Tracing these causes of the causes shows that effective promotion must reach beyond individual behavior. That insight will guide theory selection and intervention design in the modules ahead.

References

Bailey, Z. D., Krieger, N., Agénor, M., Graves, J., Linos, N., & Bassett, M. T. (2017). Structural racism and health inequities in the USA: Evidence and interventions. The Lancet, 389(10077), 1453-1463. https://doi.org/10.1016/S0140-6736(17)30569-X

Braveman, P., & Gottlieb, L. (2014). The social determinants of health: It's time to consider the causes of the causes. Public Health Reports, 129(Suppl. 2), 19-31. https://doi.org/10.1177/00333549141291S206

Williams, D. R., & Mohammed, S. A. (2009). Discrimination and racial disparities in health: Evidence and needed research. Journal of Behavioral Medicine, 32(1), 20-47. https://doi.org/10.1007/s10865-008-9185-0

What the DPH 801 Module 1 instructions ask for

Aspen's catalog describes DPH 801 as applying theories and models of health promotion to health determinants and disparities, and because the first module's prompt is reserved for enrolled students, this doctoral sample begins with a determinants analysis. Expect to pick a disparity, document it, trace its determinants across levels and explain what the analysis implies for intervention. Choose a disparity with local and national data. Organize determinants from downstream to upstream. Use peer-reviewed frameworks on social determinants and racism. Name specific policies and histories, not only abstract forces. Identify how you would measure each determinant. End by explaining why individual-level approaches alone will fall short.

How this DPH 801 Module 1 example is built

Just over 1,050 words sit under seventeen headings, and a three-column table places five groups of determinants on a downstream-to-upstream scale with their pathways to blood pressure. The paper sets out the disparity and the causes-of-the-causes framing before the table, then discusses discrimination, structural racism in the city, the life course, measurement, theory implications and ethics. Health care as a determinant, food and activity environments, intersections, data sources, policy levers and a summary complete it. A margin comment explains why showing the gap persists after insurance matters. The conclusion prepares the ground for theory selection. Each level of the table is discussed in its own section so readers can follow the chain of causes.

Reading the DPH 801 Module 1 grading rubric

Committees reading a doctoral determinants paper look for precise description of a disparity, a structured analysis across levels, strong use of peer-reviewed frameworks, attention to measurement and a clear bridge to action. The sources, a Public Health Reports review of upstream determinants, a Journal of Behavioral Medicine review of discrimination and health and a Lancet review of structural racism, are cited in APA form. The determinants table is specific to the city. Historical redlining is linked to present conditions. Ethical framing avoids victim blaming. Graders at this level expect analysis that names causes and responsibilities, which this paper does. Clear distinction between downstream, midstream and upstream factors, and data sources named for each, show readiness for doctoral research.

DPH 801 Module 1 help from the desk

At the doctoral level, the most common weakness is listing social determinants without tracing how they produce the disparity. Another is treating race as a biological risk factor rather than a marker of exposure to racism. Show pathways from each determinant to the outcome. Use local history and data. Identify measures. Keep language precise and respectful. If you need help finding historical or neighborhood data for your city, our tutors can point you to redlining archives and census tools. Close with the level where you think change would do the most good. Doctoral committees also expect you to state what your analysis cannot show, such as causal links that remain uncertain.

Write yours, or have the desk draft it

This paper is an original model document written by our desk, not a submitted student paper and not an official Aspen University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.

More DPH 801 and Doctor of Public Health sample papers

DPH 801 Module 1 questions, answered

What does DPH 801 Module 1 usually ask for?

Aspen's DPH 801 applies theories to health determinants and disparities, so an analysis of a disparity's determinants is a typical first assignment. Follow your classroom prompt.

What are the causes of the causes?

The upstream social, economic and policy conditions that shape exposure to risks and access to resources, and thereby shape health behaviors and outcomes.

What is structural racism?

The ways mutually reinforcing systems such as housing, employment, credit and justice produce and sustain racial inequity.

Where can I find a free DPH 801 Module 1 sample paper?

Read the hypertension disparities paper above, including its determinants table running from clinical to structural causes.

How are determinants of disparities analyzed in DPH 801 Module 1?

By tracing a disparity from downstream clinical and behavioral factors through living and working conditions to upstream structural forces such as segregation and discrimination.