| Course | DPH 801 Health Determinants, Disparities, Behavior and Promotion |
|---|---|
| Module | Module 3 |
| Paper type | Doctoral interpersonal theory paper |
| Length | About 1,048 words, 6 pages |
| Format | APA 7 student paper |
| School | Aspen University |
| Program | Doctor of Public Health |
| Updated | September 2026 |
Free sample paper for DPH 801 Module 3
Health Travels Through Relationships: Interpersonal Theories and Social Influence in Hypertension Control
Student Name
Doctor of Public Health Program, Aspen University
DPH 801: Health Determinants, Disparities, Behavior and Promotion
Instructor Name
Month Day, Year
Health Travels Through Relationships: Interpersonal Theories and Social Influence in Hypertension Control
People do not change behavior in isolation. They learn from others, receive help or discouragement from family and friends and adopt the habits of the networks around them. Interpersonal theories explain these influences. This paper examines social cognitive theory, social support and social network perspectives and applies them to hypertension control among Black adults in a composite city.
Social Cognitive Theory
Social cognitive theory treats behavior, personal factors and environment as continually shaping one another. It gives central place to people's confidence in their own capability and describes how that confidence and new behaviors are learned by observing others, especially those similar to oneself (Bandura, 2004). For blood pressure control, seeing a neighbor or fellow church member lower their readings can make the goal feel attainable.
Social Support
Social support includes emotional support, practical help, information and feedback. Family members who remind a person to take medication, share lower-sodium meals or accompany them to appointments make adherence easier. Conversely, family meals high in salt or skepticism about medication can undermine control. Support also includes help navigating care, such as rides to appointments or reminders about refills, which families often provide informally.
Social Networks
Network theory looks at the structure of relationships: who is connected to whom, how closely and through which paths behaviors and information spread. A study following more than 12,000 people over 32 years found that smokers tended to quit in clusters: a spouse's quitting reduced a person's chance of smoking by 67%, a sibling's by 25% and a friend's by 36%, showing that cessation spread through social ties (Christakis & Fowler, 2008).
Mechanisms and Strategies
The table links interpersonal mechanisms to program strategies.
| Mechanism | Theory source | Program strategy |
|---|---|---|
| Observational learning | Social cognitive theory | Peer champions share their blood pressure progress |
| Self-efficacy through modeling | Social cognitive theory | Group home-monitoring sessions |
| Emotional and practical support | Social support | Family members included in education; medication buddy |
| Network spread | Network theory | Recruit central, well-connected people as first participants |
| Norms within groups | Network and planned behavior | Church and barbershop groups set shared goals |
Trusted Messengers
In many Black communities, barbers, pastors and church health ministers are trusted sources of advice. A cluster-randomized trial in 52 Black-owned barbershops in Los Angeles showed the power of such settings: barbers encouraged meetings with pharmacists who prescribed medication, and at six months systolic pressure fell by 27.0 mm Hg in the intervention group compared with 9.3 mm Hg in controls (Victor et al., 2018). Barbers in the trial were paid for their role, which acknowledged their time and expertise.
Applying the Theories in the City
The composite city's program would identify churches and barbershops with dense networks, train peer champions whose blood pressure is controlled, invite spouses and adult children to sessions and give participants home monitors to share readings with family. Recruiting well-connected individuals first could accelerate spread through networks.
Negative Social Influence
Networks can spread unhealthy behaviors as well as healthy ones. Misinformation about medication side effects, for example, can travel quickly through trusted relationships. Programs should anticipate this by equipping peer champions with accurate responses and by inviting skeptics to share concerns openly. Listening first, then offering facts, tends to work better than correcting people publicly.
Limits of Interpersonal Approaches
Interpersonal interventions work within existing structures. If families cannot afford healthy food or medications, support alone will not overcome the barrier. Network interventions also depend on community trust, which must be earned. Combining interpersonal strategies with structural changes, such as free medication or pharmacy delivery, addresses these limits.
Measurement
Interpersonal constructs can be measured with scales of perceived social support, network mapping of who talks with whom about health and measures of self-efficacy for blood pressure management. Tracking these alongside blood pressure shows whether the proposed mechanisms operated. Measuring before and after the program allows the evaluation to test whether social influence changed as intended.
Social Networks and Hypertension
Although most network research concerns smoking, obesity and alcohol, the same principles apply to hypertension. Men whose friends monitor blood pressure and take medication may be more likely to do so. Mapping networks within a church or barbershop could identify influential members whose participation would spread practices.
Family Dynamics
Family roles shape health behavior. In many households, the person who shops and cooks influences sodium intake more than the person with hypertension. Involving that person in education can change the household's diet. Programs should also respect that some men prefer privacy about health, and allow participation without family involvement.
Designing Peer Champion Roles
Peer champions need training in blood pressure basics, communication and boundaries, plus support to avoid burnout. Clear roles, such as sharing experience and encouraging follow-up but not giving medical advice, protect both champions and participants.
Evidence Gaps
Evidence on network-based interventions for hypertension is still developing. Doctoral practitioners should design interventions with evaluation that can test whether network strategies add benefit, contributing to the evidence base.
Interpersonal Influence and Trust in Care
Distrust of health care, rooted in history and personal experience, spreads through networks as well. Peer champions who describe positive experiences with a pharmacist or clinic can counter distrust in ways official messages cannot.
Measuring Social Influence
Measuring influence requires more than asking about support. Network surveys can ask participants to name people they discuss health with, allowing analysis of who is central and whether behavior changes spread from participants to their contacts over time.
Connecting to Community Models
Interpersonal influence works within organizations and communities, which the next module examines. Barbershops and churches are both networks and institutions, so interpersonal strategies naturally connect to community-level approaches.
Implications for Program Design
The interpersonal lens suggests several design principles: recruit participants through existing groups rather than as individuals, make progress visible to peers, involve families by invitation, train trusted community members as champions and plan for misinformation. These principles carry into the intervention design in Module 6.
Conclusion
Interpersonal theories explain how health behaviors are learned, supported and spread through relationships. Evidence that quitting smoking spread through networks and that barbershop-based care lowered blood pressure dramatically shows their practical power. For hypertension control in the composite city, peer champions, family involvement and trusted community settings can harness social influence, while structural supports ensure it can take effect.
References
Bandura, A. (2004). Health promotion by social cognitive means. Health Education & Behavior, 31(2), 143-164. https://doi.org/10.1177/1090198104263660
Christakis, N. A., & Fowler, J. H. (2008). The collective dynamics of smoking in a large social network. New England Journal of Medicine, 358(21), 2249-2258. https://doi.org/10.1056/NEJMsa0706154
Victor, R. G., Lynch, K., Li, N., Blyler, C., Muhammad, E., Handler, J., Brettler, J., Rashid, M., Hsu, B., Foxx-Drew, D., Moy, N., Reid, A. E., & Elashoff, R. M. (2018). A cluster-randomized trial of blood-pressure reduction in Black barbershops. New England Journal of Medicine, 378(14), 1291-1301. https://doi.org/10.1056/NEJMoa1717250
Reading the DPH 801 Module 3 assignment instructions
Aspen's catalog includes interpersonal theories and models in DPH 801, and with the third module's text held inside the classroom, this sample focuses on social influence. Interpersonal theory assignments typically ask you to explain how relationships shape behavior, apply one or more theories to a population and propose strategies. Describe the mechanisms clearly, such as modeling, support and network spread. Use evidence that shows influence operating in real populations. Link each mechanism to a program strategy. Anticipate negative influence and misinformation. Recognize where interpersonal approaches need structural support to work. Use at least one study that measured influence directly. Consider both helpful and harmful influences in the population's networks.
How the DPH 801 Module 3 example is put together
Close to 1,050 words span seventeen headings, with a three-column table pairing five interpersonal mechanisms with their theory sources and program strategies. The paper covers social cognitive theory, social support and networks before the table, then trusted messengers, application in the city, negative influence, limits and measurement. Networks and hypertension, family dynamics, peer champion roles, evidence gaps, trust in care, measuring influence, links to community models and design principles complete the body. A margin comment ties observational learning to a neighbor example. The final section argues that social influence works best with structural support. Each mechanism in the table reappears in the city application section. Trusted messengers are illustrated with a real trial rather than a hypothetical example.
Where the marks sit in the DPH 801 Module 3 rubric
Interpersonal theory papers earn marks for clear mechanisms, strong evidence, careful application and realistic limits. This paper cites Bandura's health promotion article, the Framingham network study of smoking and the barbershop blood pressure trial in APA format. The mechanisms table links theory to action. Network evidence is reported with its effect sizes. Negative influence is addressed rather than ignored. Graders value papers that connect interpersonal and structural levels instead of treating relationships as the whole answer. Attention to family dynamics and privacy shows cultural sensitivity. Plans to measure networks show the analysis could be tested. Recognizing evidence gaps for hypertension shows honest scholarship. Clear writing matters too.
DPH 801 Module 3 help from the desk
A common gap is describing social support in general terms without saying who provides it and how. Another is overstating network findings from one study. Name specific relationships and roles. Report effect sizes accurately. Plan for misinformation. Include how you would measure influence. If you want to try network mapping for your project, our tutors can explain simple methods that fit a student project. Close with the relationship you would engage first. Distinguish emotional, practical and informational support when you describe it. Keep peer champion roles clear. Describe how you would handle misinformation that spreads through trusted ties. Remember that some people prefer privacy about health. Include one sentence on how you would evaluate interpersonal effects.
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: Determinants and Roots of Disparities
- DPH 801 Module 2: Individual-Level Theories Compared
- DPH 801 Module 4: Community Models and Diffusion
- DPH 801 Module 5: Choosing a Theory for a Population
- DPH 801 Module 6: Theory-Based Intervention Design
- DPH 801 Module 7: Logic Model and Evaluation Outline
- DPH 801 Module 8: Practical Immersion Reflection
- DPH 890 Module 6: The Defense Presentation
- DPH 860 Module 7: The Analysis Plan for the Doctoral Project
- DPH 840 Module 8: Immersion and DPH Project Progress
- DPH 810 Module 2: Documented Literature Search
DPH 801 Module 3 questions, answered
What does DPH 801 Module 3 usually ask for?
Aspen's DPH 801 covers interpersonal theories and models, so applying them to a health problem is a typical assignment. Confirm with your classroom prompt.
What is observational learning?
Learning a behavior by watching others, especially people similar to oneself, which also builds confidence to try it.
Can health behaviors spread through social networks?
Yes; a long-term network study found that smoking cessation spread through spouses, siblings and friends.
Where can I find a free DPH 801 Module 3 sample paper?
The interpersonal theories paper is shown here, including a table of mechanisms, theory sources and program strategies.
How do interpersonal theories apply in DPH 801 Module 3?
They explain how people learn from others, receive support and adopt behaviors that spread through networks, guiding strategies such as peer champions and family involvement.