Next Article in Journal
Communities’ Perception, Knowledge, and Practices Related to Human African Trypanosomiasis in the Democratic Republic of Congo
Previous Article in Journal
Facial Hemiplegia Treated with Botulinum Toxin: A Case Report
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Evaluating Levels of Community Participation in a University-Community Partnership: The Jackson Heart Study

Jackson Heart Study, Jackson State University, Jackson, MS 39213, USA
*
Author to whom correspondence should be addressed.
Diseases 2022, 10(4), 68; https://doi.org/10.3390/diseases10040068
Submission received: 25 August 2022 / Revised: 17 September 2022 / Accepted: 19 September 2022 / Published: 23 September 2022
(This article belongs to the Section Cardiology)

Abstract

:
Objective: This research was designed to evaluate the perceptions of the Jackson Heart Study (JHS) community relating to their levels of involvement in JHS activities that were developed to address health disparities and promote health education and health promotion. Methods: The participants for this study comprised 128 community members, who included JHS participants, as well as family members and other friends of the JHS who resided in the JHS community of Hinds, Madison, and Rankin Counties in Mississippi and attended the JHS Annual Celebration of Life. We used the Chi-Square test to analyze the participants’ responses to the survey questions developed to address the six areas of focus: (1) ways to increase participation in community outreach activities; (2) reasons for participating in community outreach activities; (3) interest in research participation; (4) factors influencing engagement; (5) Participants’ preferences for communicating; (6) Chronic disease prevalence. Results: Participants residing in rural counties perceived television and radio as a medium to increase participation; More female respondents cited trust working with the JSU JHS Community Outreach Center (CORC) as a reason for remaining engaged in the community outreach activities; younger participants under 66 years of age recommended social media as a way to increase participation; participants residing in the rural areas saw their participation in the community outreach activities as a way to address community health problems. Conclusions: The knowledge gained from the details provided by the JHS community members can be used to refine research studies in existence, while promoting their sustainability.

1. Introduction

It is widely accepted that disadvantaged groups are exposed to a greater degree of health risk factors and are affected by worse health outcomes, such as prevalence of chronic diseases, like cardiovascular diseases (CVD), compared to non-disadvantaged groups [1,2,3]. It has become evident to stakeholders interested in addressing health disparities, risk factors, and health status in minority, racial, and ethnic populations that community-based participatory research can contribute to the development of important policy initiatives that can designate individuals or organizations with specific authority and responsibility for reducing health disparities in their communities [4,5]. This type of community participation is beneficial to the development, implementation and evaluation of health services [6] and the implementation of culturally customized interventions to counteract the complex interaction of biological, sociopolitical, economic, and environmental factors that contribute to the disparities that exist in these communities [7].
The public health burden caused by cardiovascular disease (CVD) continues to adversely affect individuals through cost, life expectancy, medical, pharmaceutical and hospital care, particularly in the case of African Americans [8,9,10,11]. The Jackson Heart Study (JHS) Community Outreach Center (CORC) was developed by Jackson State University (JSU) to build a collaborative health promotion partnership with the objective of effectively employing principles of community-based participatory research (CBPR) in the process of promoting academic-community interactions and partnerships to address issues relating to health disparities. The resulting JSU CORC CBPR platform involved many dimensions of collaboration. These dimensions of collaboration sought to ensure that the partnerships that were configured included groups of diverse community representatives who were guided by a vision for long-term change so that positive results derived from their activities and interactions would be long-lasting [12].
The value of shared academic-community decision-making and research study collaboration has become increasingly evident in research operations as community engagement practices have become more valued [13]. Green and Haines (2012) acknowledged that the community voice and perspective were not being adequately utilized. However, the research on community engagement reveals a lack of understanding of the impact of community voice and perspective on the operations and efficiency of these academia-community partnerships [14]. Cruz and Giles (2000) suggested that it is important for stakeholders engaged in an academic-community collaboration to be able to evaluate how well the arrangement if progressing because of the quality of the partnership [15]. To facilitate harmonization of its community mobilization agenda, the JSU JHS CORC sponsored three annual community events-Celebration of Life, Community Monitoring Board Meeting; Birthday Celebration [16,17]. This research was designed to evaluate the perceptions of the JHS community relating to their levels of involvement in JHS activities that were developed to address health disparities and promote health education and health promotion.

2. Materials and Methods

The JHS, the largest single-site epidemiological study of cardiovascular disease in African Americans, collected data from 5306 African Americans in Hinds, Madison and Rankin Counties (Mississippi). The Jackson Heart Study is a community-based cohort study evaluating the etiology of cardiovascular, renal, and respiratory diseases among African Americans residing in the three counties (Hinds, Madison, and Rankin) that make up the Jackson, Mississippi metropolitan area. Data and biologic materials have been collected from 5306 participants. The age at enrollment for the cohort was 35–84 years. Participants provided extensive medical and social history and had an array of physical and biochemical measurements and diagnostic procedures during a baseline examination (2000–2004) and two follow-up examinations (2005–2008 and 2009–2012). Genomic DNA was collected during the first two examinations. Annual follow-up interviews and cohort surveillance are ongoing, and the fourth examination began in 2022.
The JHS and all of its centers were funded through contracts with the National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH). Details of the JHS, its development, participants, and overall procedures are described in earlier publications [18,19,20,21]. The JSU JHS community initiatives included an innovative community-driven operation that devised techniques to motivate, inspire, and engage community residents in a community–academia partnership to yield maximum benefits in the areas of health education, health promotion and interventions, and biomedical research [16].
The data were collected at one of the annual community events sponsored by the JHS Community Outreach Center (CORC) in Jackson, Mississippi. This was one of the largest JHS educational and retention events, and was held in the month of February in commemoration of African American History Month and American Heart Month. The meeting was attended by about 140 JHS participants, community members and other stakeholders, such as JHS community health advisors (CHAs), members of the JHS community ethics advisory board (CEAB), ministers, and partners in community-based and faith-based organizations [17]. All of the attendees at the event were invited to participate in the survey. Event attendees were provided the survey at the registration table when signing in for the event. All respondents were notified of the study’s purpose and given an informed consent form prior to data collection. The completed surveys were placed in a sealed envelope to ensure anonymity in the process. We analyzed data from 128 of the participants who provided completed surveys. The participants’ responses to each area of interest on the survey are provided in the Chi-Square tables in the results section with a tabulation of the frequency of selection of each of the response choices among the 128 participants (enumerating the number of participants who selected each reponse choice).
Survey items relating to the JHS activities were developed from results of past JHS focus groups and other prior JHS community activities, and the validity of the content was assessed. The scale construction was finalized after pre-testing the questions, administering the survey, reducing the number of items, and determining the number of factors. Reliability was tested using Cronbach Alpha (0.78). and validity was assessed. The survey represented an opportunity for the JHS community to express their opinions and concerns about the JHS and provide ideas and input for the future direction of the study. For the purposes of this paper, only the participant recruitment and engagement-related items were explored.
All methods were performed in accordance with the relevant ethical guidelines and regulations. Ethical approval for this study was obtained from the Institutional Review Board (IRB) at Jackson State University, Jackson, Mississippi, USA. Participants were advised that their participation in the survey was voluntary, and that they could stop anytime they wanted, or not answer if they were uncomfortable with individual questions. Participants in this research provided signed informed consent prior to the beginning of the research activities.
We collected data from the participants to address the following six areas that highlighted the participants’ perceptions regarding their level of engagement: (1) Exploring ways to increase participation in community outreach activities; (2) Exploring reasons for participating in community outreach activities; (3) Exploring participants’ interest in research participation; (4) Factors influencing participants’ continuing engagement in community engagement activities; (5) Participants’ preferences for involving and communicating about community engagement activities; (6) Chronic disease prevalence by individual counties/communities. The perceptions of the community members were obtained from the surveys that were administered at the Celebration of Life, one of the JHS annual community events. Community participants were asked to provide answers to the following questions:
  • What are some ways we can increase participation in the community outreach activities?
  • To what extent did the following reasons cause you to first participate in the community outreach activities?
  • Would you be interested in participating in a community research study similar to the Jackson Heart Study?
  • How important are the following items in keeping you engaged in the community outreach activities?
  • What is the best way to communicate to you about community outreach activities?
  • What diseases affect the community where you live the most?
We used quantitative measures to examine the participants’ perceptions that were gathered at this annual event. The participants were asked to select their level of agreement/disagreement to each question posed on the survey by selecting from the four choices provided. The Chi-Square test was used to analyze the participants’ responses to the questions developed to address the six areas of focus. Significance was set at alpha = 0.05.

3. Results

To maximize CORC’s efforts to increase community participation in research study activities, our researchers focused specifically on participants’ responses where significant differences were noted. We believed that a review of the differences in the participants’ responses would serve to identify areas where additional attention and efforts may be needed in further interactions with community partners to boost their willingness to participate. Situations where significant differences were noted are discussed below.
  • Participant Characteristics
As shown in Table 1, a total of 128 individuals completed the questionnaire. Of those, 76.4% (n = 94) were female and 96.8% (n = 122) self-identified as Black or AA. Among all respondents, 42.4% (n = 53) were sixty-six years of age or older. Furthermore, 16.8% (n = 21) were 56–65 years of age, 18.4% (n = 23) noted 46–55 years of age, 10.4% (n = 13) selected the 36–45 years of age group; and 35 years of age or younger was identified by 12% (n = 15) of participants. Regarding county of residence, 68.5% (n = 87) of participants lived in Hinds, 16.5% (n = 21) resided in Madison and nine respondents (7.1%) were residents of Rankin county. Approximately eight percent (n = 10) lived outside of the tri-county region. Participants were then asked about their CORC affiliation, with multiple options to select. Nearly thirty-four percent (n = 41) were community members, 30.6% (n = 37) were current JHS participants and 22.3% (n = 27) were students within an academic institution. Staff, institutional partners and representatives of non-profits combined constituted 13.2% (n = 16) of those who completed the questionnaire.

3.1. Exploring Ways to Increase Participation in Community Outreach Activities

Community participants were asked: What are some ways we can increase participation in the community outreach activities?

3.1.1. Using Television/Radio by County of Residence

The perceptions of residents in Hinds County were compared to the combined perceptions of residents from Madison and Rankin Counties, the rural communities. While more than half of the total number of participants suggested the use of television and radio, respondents from the combined counties, which were more rural than Hinds County perceived television and radio as a way to increase participation at a significantly higher rate than respondents from Hinds County (Table 2).

3.1.2. Using Social Media by Age

Younger participants under 66 years of age recommended social media as a way to increase participation at a significantly higher rate than older respondents, those above 66 years old (Table 3).

3.2. Exploring Reasons for Participating in Community Outreach Activities

Community participants were asked: To what extent did the following reasons cause you to first participate in the community outreach activities?

3.2.1. Addressing Health Problems by County

More participants living in the combined counties of Madison and Pearl Counties, the rural areas of the study area saw their participation in the community outreach activities as a way to address health problems in their community (Table 4).

3.2.2. Improving Personal Heath and Quality of Life by Sex

More females reported improving personal health and quality of life as a reason for choosing to participate in the community outreach activities compared to men (Table 5).

3.3. Exploring Participants’ Interest in Research Participation

Community participants were asked: Would you be interested in participating in a community research study similar to the Jackson Heart Study?

3.3.1. Research on Physical Activity by Age

Younger respondents (ages 19–65) reported being more interested in participating in a research study focusing on physical activity when compared to older respondents (Table 6).

3.3.2. Research Study on Asthma by Age

The oldest respondents (ages 66 and older) reported being more interested in participating in a research study focusing on asthma when compared to younger respondents (Table 7).

3.3.3. Research Study on Mental Health by Age

Younger respondents (ages 19–45) reported being more interested in participating in a research study focusing on mental health when compared to older respondents (Table 8).

3.4. Factors Influencing Participants’ Continuing Engagement in Community Engagement Activities

Community participants were asked: How important are the following items in keeping you engaged in the community outreach activities?

3.4.1. Importance of Trust by Age

Older respondents (ages 46 and above) reported their trust in the staff working with the JSU CORC as a reason for remaining engaged in the community outreach activities (Table 9).

3.4.2. Importance of Trust by Sex

More female respondents cited trust working with the JSU JHS CORC as a reason for remaining engaged in the community outreach activities (Table 10).

3.5. Participants’ Preferences for Communication about Community Engagement Activities

Community participants were asked: What is the best way to communicate to you about community outreach activities?

3.5.1. Email by County of Residence

Respondents from the two combined rural counties (Madison and Rankin) reported that email is the best way to communicate to respondents about community outreach activities at a significantly higher rate than respondents from Hinds County (Table 11).

3.5.2. Text Messages by County of Residence

Respondents from the combined rural counties reported text messages as the best way to communicate to respondents about community outreach activities at a significantly higher rate than respondents from Hinds County (Table 12).

3.5.3. Mail Reminders by Sex

Females reported mail reminders as the best way to communicate to respondents about community outreach activities at a significantly higher rate than males (Table 13).

3.5.4. Email by Age

Younger respondents reported email as the best way to communicate to respondents when compared to older respondents (Table 14).

3.5.5. Telephone Follow-Up Calls by Age

Older respondents reported telephone follow-up calls as the best way to communicate to respondents about community outreach activities when compared to younger respondents (Table 15).

3.5.6. Text Messages by Age

Younger respondents reported text messages as the best way to communicate to respondents about community outreach activities at a significantly higher rate than older respondents (Table 16).

3.5.7. Mail Reminders by Age

Older respondents reported mail reminders as the best way to communicate to respondents about community outreach activities when compared to younger respondents (Table 17).

3.6. Chronic Disease Prevalence by Individual Counties/Communities

Community participants were asked: What diseases affect the community where you live the most?

3.6.1. Heart Disease by County

Respondents from both the other combined counties and Hinds County reported that heart disease significantly affects their community (Table 18).

3.6.2. High Blood Pressure by Sex

More males than female respondents reported perceived that high blood pressure disease significantly affects their community (Table 19).

4. Discussion

As researchers explore ways to increase participation in community outreach activities, capturing the attention of the community can be a difficult task. When engaging African Americans to participate in research and research activity, recruiters and other community advocates represent the first point of contact that can motivate the individuals to make the commitment to participate [22]. The results of the analyses of the participants’ perceptions can serve as important tips for future researchers who aspire to recruit community members, particularly African Americans and other minorities, to participate in research studies. The results of this research provide strategies to drive community engagement, and tips on how to promote public participation.
  • Limitations and Strengths
This study has both limitations and strengths. Using a convenience sampling strategy in selecting the study participants is a limitation because some important JHS participants and community partners might have been missed. The small number of participants is a limitation. Some bias may be present because the research was conducted at a JHS community event. As a result, participants would have had a heightened awareness of the communication being administered to them because they were themselves, discussing how to effectively disseminate messages to their community audiences.
The design of this study provided numerous benefits. The choice to administer the survey to a group that included JHS cohort members, family members, local community, and other stakeholders around the Jackson Metropolitan Area, was also a benefit as it meant data were based on a variety of first-hand experiences from individuals with an active interest in promoting JHS activities. The results are therefore applicable and meaningful to CBPR research. The limitations mentioned suggest that our findings might not be easily generalizable to the population. Therefore, additional studies are encouraged to investigate whether different populations’ perceptions of appropriate communication strategies are different from our findings. The lessons learned from this study should be received as meaningful resources when developing strategies to inform the development of specific health information dissemination solutions.
Below are listed important tips and strategies that can be employed to increase and broaden community engagement:

4.1. Exploring Ways to Increase Participation in Community Outreach Activities

The JHS community participants perceived television, radio and social media as a way to increase participation at a significantly higher rate. This would make it possible to define a range of participant and community engaged research activities that are understood and accepted by both the academic researchers and collaborating community members [23]. This type of collaborative approach is important for building trust and understanding barriers to community participation in research activities [7].

4.2. Exploring Reasons for Participating in Community Outreach Activities

Understanding community members’ reasons for participating in community outreach activities and why it is important for community members to participate in community outreach activities can assist researchers to be successful in recruiting African Americans and minority participants in research studies. Community outreach activities increases social consciousness and social awareness and responsibility as well. By committing to a project or activity with others, participation by community members helps to build and strengthen relationships and make new friendships. The participants believed that it serves as a way to address health problems in their community, as well as improving personal health and quality of life. If designed and implemented properly through effective community consultation and participation, these types of community engagement collaborations can result in improved health and health behaviors, especially among disadvantaged populations [24].

4.3. Exploring Participants’ Interest in Research Participation

It is also important to exploring participants’ interest in research participation. The need to keep research organization staff connected and engaged is very important. Understanding the participants’ perceptions can assist public health investigators in transforming participants’ continuing engagement in research. The research process was able to gather ideas from the community, analyzed their input and reported the accounts so that future researchers can make better-informed decisions. Participants’ perceptions reflected their focus on risk factors like physical activity and on factors like asthma. Long et al. (2016) suggested that studies should begin to shift their approach to involve participants’ preferences [25].

4.4. Influencing Participants’ Continuing Engagement in Community Engagement Activities

Factors influencing participants’ continuing commitment to community engagement activities—The need to keep study participants and community members connected and engaged is very important to the success of any research enterprise. Participants’ reported their trust in the staff working with the JSU CORC as a major reason for remaining engaged in the community outreach activities. According to Deweger et al. (2018), Effective participation of community members is only possible when processes are included that the research organizations are inclusive, accessible, and supportive of community members [26].

4.5. Participants’ Preferences for Communication about Community Engagement Activities

Participants’ preferences for involving and communicating about community engagement activities are important. In order to ensure useful interacting and effectively communicating with community members throughout the research process. The ability to communicate effectively and place the community at the center of the response spectrum is crucial to successful recruitment and retention. Participants’ perceptions regarding preferences for communication included mail, email and text messages as the best way to communicate to them about community outreach activities. Expressions of a reciprocal relationship over time serve as a catalyst to developing important levels of trust. These levels of engagement can begin with adherence to ethical conduct and communication to receiving gifts for their participation [27].

5. Conclusions

The knowledge gained from the details provided by the JHS community members can be used to refine research studies in existence, while promoting their sustainability. The successful implementation of effective community engagement strategies can expand the avenues available for employing community-based strategies that can facilitate health improvement in the communities. Effective community engagement can address socioeconomic issues that are the root causes of many health issues. By engaging with partners in the community to address socioeconomic issues, health care organizations can assist in improving health outcomes, thereby reducing the costs of services. Understanding realistic health issues that affect community health, implementing effective policies to address public health, and developing meaningful prevention and intervention strategies to reduce prevalence of chronic diseases can best be achieved when effective community engagement programs are appreciated, installed, and operating. The extent of the collaboration between participating stakeholders will help to ensure that the community benefits from the wealth of perspectives, insight, and input to the maximum extent possible. A community building framework with community events like the JHS CORC events can be a mechanism through which information and insights can be gathered that can facilitate practitioners work toward communication and information dissemination goals.

Author Contributions

Conceptualization, C.A. and B.W.C.J.; Data curation, M.F. and G.W.; Formal analysis, C.A.; Investigation, M.F., D.T.-O. and M.W.; Methodology, C.A.; Project administration, D.A.L.; Resources, P.M., L.Y., C.W. and K.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by JHS Graduate Training and Education Center (GTEC) NHLBI/NIH and the National Institute on Minority Health and Health Disparities of the National Institutes of Health; grant number HHSN26818HV0009R.

Institutional Review Board Statement

The data collection was approved by the local IRB.

Informed Consent Statement

Participants provided signed informed consent forms.

Data Availability Statement

Not applicable.

Acknowledgments

The staff of the JHS GTEC wants to thank the JHS participants and the JHS community for their years of dedicated commitment and enthusiastic contributions. This research is supported by JHS Graduate Training and Education Center (GTEC) NHLBI-NIH Contract NHLBIHHSN26818HV0009R and the National Institute on Minority Health and Health Disparities of the National Institutes of Health; “Research reported in this publication was supported by the National Institute on Minority Health and Health Disparities of the National Institutes of Health under Award Number U54MD015929. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health”.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. O’Mara-Eves, A.; Brunton, G.; Oliver, S.; Kavanaugh, J.; Jamal, F.; Thomas, J. The effectiveness of community engagement in public health interventions for disadvantaged groups: A meta-analysis. BMC Public Health 2015, 15, 129. [Google Scholar] [CrossRef] [PubMed]
  2. Olivares, D.E.; Chambi, F.R.; Chañi, E.M.; Craig, W.J.; Pacheco, S.O.; Pacheco, F.J. Risk Factors for Chronic Diseases and Multimorbidity in a Primary Care Context of Central Argentina: A Web-Based Interactive and Cross-Sectional Study. Int. J. Environ. Res. Public Health 2017, 14, 251. [Google Scholar] [CrossRef] [PubMed]
  3. Ng, R.; Sutradhar, R.; Yao, Z.; Wodchis, W.P.; Rosella, L.C. Smoking, drinking, diet and physical activity—modifiable lifestyle risk factors and their associations with age to first chronic disease. Int. J. Epidemiol. 2020, 49, 113–130. [Google Scholar] [CrossRef] [PubMed]
  4. Institute of Medicine (US). Roundtable on Health Disparities. Challenges and Successes in Reducing Health Disparities: Workshop Summary; National Academies Press (US): Washington, DC, USA, 2008; Appendix D, Community Approaches to Addressing Health Disparities. Available online: https://www.ncbi.nlm.nih.gov/books/NBK215366 (accessed on 1 August 2022).
  5. Duran, B.; Oetzel, J.; Magarati, M.; Parker, M.; Zhou, C.; Roubideaux, Y.; Muhammad, M.; Pearson, C.; Belone, L.; Kastelic, S.H.; et al. Toward Health Equity: A National Study of Promising Practices in Community-Based Participatory Research. Prog. Community Health Partn. 2019, 13, 337–352. [Google Scholar] [CrossRef] [PubMed]
  6. Haldane, V.; Chuah, F.L.H.; Srivastava, A.; Singh, S.R.; Koh, G.; Seng, C.K.; Legido-Quigley, H. Community participation in health services development, implementation, and evaluation: A systematic review of empowerment, health, community, and process outcomes. PLoS ONE 2019, 14, e0216112. [Google Scholar] [CrossRef]
  7. McNeill, L.H.; Wu, I.H.C.; Cho, D.; Lu, Q.; Escoto, K.; Harris, C. Community Outreach and Engagement Strategies to Address Breast Cancer Disparities. Curr. Breast Cancer Rep. 2020, 12, 209–215. [Google Scholar] [CrossRef]
  8. Campbell-Jenkins, B.W.; Addison, C.C.; Young, L.; Anugu, P.; Wilson, G.; Sarpong, D. Development of the Jackson Heart Study Coordinating Center. Int. J. Environ. Res. Public Health 2009, 6, 1597–1608. [Google Scholar] [CrossRef]
  9. Mensah, G.A. Cardiovascular Diseases in African Americans: Fostering Community Partnerships to Stemthe Tide. Am. J. Kidney Dis. 2018, 72, S37–S42. [Google Scholar] [CrossRef]
  10. Wangui Odoi, E.; Nagle, N.; Zaretzki, R.; Jordan, M.; DuClos, C.; Kintziger, K.W. Sociodemographic Determinants of Acute Myocardial Infarction Hospitalization Risks in Florida. J. Am. Heart Assoc. 2020, 9, e012712. [Google Scholar] [CrossRef] [PubMed]
  11. Carnethon, M.R.; Pu, J.; Howard, G.; Albert, M.A.; Anderson, C.A.M.; Bertoni, A.G.; Mujahid, M.S.; Palaniappan, L.; Taylor, H.A., Jr.; Willis, M.; et al. Cardiovascular Health in African Americans: A Scientific Statement from the American Heart Association. Circulation 2017, 136, e393–e423. [Google Scholar] [CrossRef] [PubMed]
  12. Addison, C.C.; Campbell Jenkins, B.W.; Odom, D.; Fortenberry, M.; Wilson, G.; Young, L.; Antoine-LaVigne, D. Building Collaborative Health Promotion Partnerships: The Jackson Heart Study. Int. J. Environ. Res. Public Health 2016, 13, 25. [Google Scholar] [CrossRef] [PubMed]
  13. Saltmarsh, J.; Hartley, M.; Clayton, P.H. Democratic Engagement White Paper 2009; New England Resource Center for Higher Education: Boston, MA, USA, 2009. [Google Scholar]
  14. Green, G.P.; Haines, A. Asset Building and Community Development, 3rd ed.; Sage Publications: Thousand Oaks, CA, USA, 2012. [Google Scholar]
  15. Cruz, N.I.; Giles, D.E. Where’s the community in service-learning research? Mich. J. Community Serv. Learn. 2000, 7, 28–34. [Google Scholar]
  16. Addison, C.; Campbell Jenkins, B.W.; White, M.; Thigpen Odom, D.; Fortenberry, M.; Wilson, G.; McCoy, P.; Young, L.; Woodberry, C.; Herron, K.; et al. Twenty Years of Leading the Way among Cohort Studies in Community-Driven Outreach and Engagement: Jackson State University/Jackson Heart Study. Int. J. Environ. Res. Public Health 2021, 18, 696. [Google Scholar] [CrossRef] [PubMed]
  17. Addison, C.; Jenkins, B.C.; White, M.; Wilson, G.; Fortenberry, M.; Thigpen, D.; Young, L.; Woodberry, C.; McCoy, P.; Antoine-LaVigne, D. Operational and Management Structure of the Jackson Heart Study Community Outreach Center. J. Health Care Poor Underserved 2020, 31, 11–21. [Google Scholar] [CrossRef]
  18. Addison, C.C.; Campbell-Jenkins, B.W.; Sarpong, D.F.; Kibler, J.; Singh, M.; Dubbert, P.; Wilson, G.; Payne, T.; Taylor, H. Psychometric Evaluation of a Coping Strategies Inventory Short-Form (CSI-SF) in the Jackson Heart Study Cohort. Int. J. Environ. Res. Public Health 2007, 4, 289–295. [Google Scholar] [CrossRef] [PubMed]
  19. Sempos, C.T.; Bild, D.E.; Manolio, T.A. Overview of the Jackson Heart Study: A study of cardiovascular diseases in African American men and women. Am. J. Med. Sci. 1999, 317, 142–146. [Google Scholar] [CrossRef]
  20. Crook, E.D.; Taylor, H. Traditional and non-traditional risk factors for cardiovascular and renal disease in African Americans: A project of the Jackson Heart Study investigators. Am. J. Med. Sci. 2002, 324, 115. [Google Scholar] [CrossRef]
  21. Wyatt, S.B.; Williams, D.R.; Calvin, R.; Henderson, F.C.; Walker, E.R.; Winters, K. Racism and cardiovascular disease in African Americans. Am. J. Med. Sci. 2003, 325, 315–331. [Google Scholar]
  22. Barrett, N.J.; Ingraham, K.L.; Hawkins, T.V.; Moorman, P.G. Engaging African Americans in Research: The Recruiter’s Perspective. Ethn. Dis. 2017, 27, 453–462. [Google Scholar] [CrossRef]
  23. Sanders Thompson, V.L.; Ackermann, N.; Bauer, K.L.; Bowen, D.J.; Goodman, M.S. Strategies of community engagement in research: Definitions and classifications. Transl. Behav. Med. 2021, 11, 441–451. [Google Scholar] [CrossRef]
  24. Cyril, S.; Smith, B.J.; Possamai-Inesedy, A.; Renzaho, A.M. Exploring the role of community engagement in improving the health of disadvantaged populations: A systematic review. Glob. Health Action 2015, 8, 29842. [Google Scholar] [CrossRef] [PubMed]
  25. Long, C.R.; Stewart, M.K.; Cunningham, T.V.; Warmack, T.S.; McElfish, P.A. Health research participants’ preferences for receiving research results. Clin. Trials 2016, 13, 582–591. [Google Scholar] [CrossRef]
  26. De Weger, E.; Van Vooren, N.; Luijkx, K.G.; Baan, C.A.; Drewes, H.W. Achieving successful community engagement: A rapid realist review. BMC Health Serv. Res. 2018, 18, 285. [Google Scholar] [CrossRef] [PubMed]
  27. Ochieng, C.A.; Minion, J.T.; Turner, A.; Blell, M.; Murtagh, M.J. What does engagement mean to participants in longitudinal cohort studies? A qualitative study. BMC Med. Ethic 2021, 22, 77. [Google Scholar] [CrossRef] [PubMed]
Table 1. Demographic Characteristics of Participants.
Table 1. Demographic Characteristics of Participants.
CharacteristicRespondents (n = 128)
% (n)
Gender
     Female76.4 (94)
     Male23.6 (29)
Race
     African American (Black)96.8 (122)
     Caucasian (White)3.2 (4)
Age
     35 years or younger12.0 (12)
     36–4510.4 (13)
     46–5518.4 (23)
     56–6516.8 (21)
     66 year or older42.4 (53)
County of Residence
     Hinds68.5 (87)
     Madison16.5 (21)
     Rankin7.1 (9)
     Other7.9 (10)
Affiliation
     Community Member33.9 (41)
     JHS Participant30.6 (37)
     Community Health Advisor13.2 (16)
     Staff5.8 (7)
     Institutional Partners2.5 (3)
     Non-Profit4.9 (6)
     Student22.3 (27)
     Other1.7 (2)
Years Active as CORC Participant
     0–1 year44.4 (56)
     2–4 years10.3 (13)
     5–8 years4.8 (6)
     9–11 years5.6 (7)
     12 years of more 34.9 (44)
Role in CORC’s Activities
     Planning community activities28.7 (29)
     Outreach for recruitment23.8 (24)
     Hosting community health fairs21.8 (22)
     Health education messages19.8 (20)
Table 2. Using television/radio to increase participation in community outreach activities by county of residence.
Table 2. Using television/radio to increase participation in community outreach activities by county of residence.
CountyTotal
HindsOther Combined
No Television/RadioCount431255
Expected Count37.417.655.0
% Within County49.4%29.3%43%
Television/RadioCount442973
Expected Count49.623.473
% Within County50.6%70.7%57.0%
TotalCount8741128
Expected Count8741128.0
% Within County100.0%100.0100.0%
χ2 = 4.620, df = 1, p = 0.032.
Table 3. Cross-tabulation results for using social media to increase participation in community outreach activities by age.
Table 3. Cross-tabulation results for using social media to increase participation in community outreach activities by age.
AgeTotal
Up to 1819–4546–6566 and Above
No Social MediaCount16134161
Expected Count1.012.421.026.761.0
% Within Age50.0%23.1%29.5%73.2%47.7%
Social MediaCount120311567
Expected Count1.013.623.029.367.0
% Within Age50.0%76.9%70.5%26.8%52.3%
TotalCount2264456128
Expected Count2.026.044.056.0128.0
% Within Age100.0%100.0%100.0%100.0%100.0%
χ2 = 26.751, df = 1, p = 0.000.
Table 4. Addressing health problems in the community by county of residence.
Table 4. Addressing health problems in the community by county of residence.
CountyTotal
HindsOther Combined
NoneCount044
Expected Count2.61.44.0
% Within County0%10%3.5%
SlightlyCount156
Expected Count2.13.96.0
% Within County2.5%6.8%5.3%
ModeratelyCount9817
Expected Count6.011.017.0
% Within County22.5%10.8%14.9%
VeryCount92736
Expected Count12.623.436.0
% Within County22.5%36.5%31.6%
ExtremelyCount173451
Expected Count17.933.151.0
% Within County42.5%45.9%44.7%
TotalCount4074114
Expected Count40.074.0114.0
% Within County100.0%100.0%100.0%
χ2 = 12.350, df = 4, p = 0.015.
Table 5. Cross-tabulation results for improving personal health and quality of life by sex.
Table 5. Cross-tabulation results for improving personal health and quality of life by sex.
SexTotal
MaleFemale
NoneCount303
Expected Count0.72.33.0
% Within Sex11.1%0%2.6%
SlightlyCount112
Expected Count0.51.52.0
% Within Sex3.7%1.1%1.8%
ModeratelyCount3811
Expected Count2.68.411.0
% Within Sex11.1%9.2%9.6%
VeryCount62026
Expected Count6.219.826.0
% Within Sex22.2%23.0%22.8%
ExtremelyCount145872
Expected Count17.154.972.0
% Within Sex51.9%66.7%63.2%
TotalCount2787114
Expected Count27.087.0114.0
% Within Sex100.0%100.0%100.0%
χ2 = 11.233, df = 4, p = 0.024.
Table 6. Cross-tabulation results for research study focusing on physical activity by age.
Table 6. Cross-tabulation results for research study focusing on physical activity by age.
AgeTotal
Up to 1819–4546–6566 and Above
Interested in participating in research focusing on physical activityCount222342785
Expected Count1.317.329.237.285.0
% Within Age100.0%84.6%77.3%48.2%66.4%
Not interested in participating in research focusing on physical activityCount04102943
Expected Count0.78.714.818.843.0
% Within Age0%15.4%22.7%51.8%33.6%
TotalCount2264456128
Expected Count2.026.044.056.0128.0
% Within Age100.0%100.0%100.0%100.0%100.0%
χ2 = 15.513, df = 3, p = 0.001.
Table 7. Cross-tabulation results for research study focusing on asthma by age.
Table 7. Cross-tabulation results for research study focusing on asthma by age.
AgeTotal
Up to 1819–4546–6566 and Above
Interested in participating in research focusing on asthmaCount019305099
Expected Count1.520.134.043.399.0
% Within Age0%73.1%68.2%89.3%77.3%
Not interested in participating in research focusing on asthmaCount019305099
Expected Count1.520.134.043.399.0
% Within Age0%73.1%68.2%89.3%77.3%
TotalCount2264456128
Expected Count2.026.044.056.0128.0
% Within Age100.0%100.0%100.0%100.0%100.0%
χ2 = 13.763, df = 3, p = 0.003.
Table 8. Interest in Research Study Focusing on Mental Health by Age.
Table 8. Interest in Research Study Focusing on Mental Health by Age.
AgeTotal
Up to 1819–4546–6566 and Above
Interested in participating in research focusing on mental healthCount016201652
Expected Count0.810.617.922.852.0
% Within Age0%61.5%45.5%28.6%40.6%
Not interested in participating in research focusing on mental healthCount210244076
Expected Count1.215.426.133.376.0
% Within Age100.0%38.5%54.5%71.4%59.4%
TotalCount2264456128
Expected Count2.026.044.056.0128.0
% Within Age100.0%100.0%100.0%100.0%100.0%
χ2 = 9.881, df = 3, p = 0.020.
Table 9. Importance of Trust for Working with the JSU JHS CORC by Age.
Table 9. Importance of Trust for Working with the JSU JHS CORC by Age.
AgeTotal
Up to 1819–4546–6566 and Above
Not importantCount02013
Expected Count0.10.71.11.23.0
% Within Age0%8.0%0%2.2%2.7%
Slightly importantCount01113
Expected Count0.10.71.11.23.0
% Within Age0%4.0%2.5%2.2%2.7%
NeutralCount232714
Expected Count0.23.15.05.714.0
% Within Age100.0%12.0%5.0%15.2%12.4%
Very importantCount010142246
Expected Count0.810.216.318.746.0
% Within Age0%36.0%57.5%32.6%41.6%
Extremely importantCount09231547
Expected Count0.810.416.619.147.0
% Within Age0%36.0%57.5%32.6%41.6%
TotalCount2254046113
Expected Count2.025.040.046.0113.0
% Within Age100.0%100.0%100.0%100.0%100.0%
χ2 = 24.622, df = 12, p = 0.017.
Table 10. Importance of Trust While Working with the JSU JHS CORC by Sex.
Table 10. Importance of Trust While Working with the JSU JHS CORC by Sex.
SexTotal
MaleFemale
Not importantCount213
Expected Count0.72.33.0
% Within Sex8.0%1.2%2.8%
Slightly importantCount033
Expected Count0.72.33.0
% Within Sex0%3.6%2.8%
NeutralCount31114
Expected Count3.210.814.0
% Within Sex12.0%13.3%13.0%
Very importantCount153045
Expected Count10.434.645.0
% Within Sex60.0%36.1%41.7%
Extremely importantCount53843
Expected Count10.033.043.0
% Within Sex20.0%45.8%39.8%
TotalCount2583108
Expected Count25.083.0108.0
% Within Sex100.0%100.0%100.0%
χ2 = 9.953, df = 4, p = 0.041.
Table 11. Email as the Best Way to Communicate to Respondents About Community Outreach Activities by County of Residence.
Table 11. Email as the Best Way to Communicate to Respondents About Community Outreach Activities by County of Residence.
CountyTotal
HindsOther Combined
Email is the best way to communicate about community outreach activitiesCount332760
Expected Count40.819.260.0
% Within County37.9%65.9%46.9%
Email is not the best way to communicate about community outreach activitiesCount541468
Expected Count46.221.868.0
% Within County62.1%34.1%53.1%
TotalCount8741128
Expected Count87.041.0128.0
% Within County100.0%100.0100.0%
χ2 = 8.725, df = 1, p = 0.003.
Table 12. Text Messages as the Best Way to Communicate to Respondents about Community Outreach Activities by County of Residence.
Table 12. Text Messages as the Best Way to Communicate to Respondents about Community Outreach Activities by County of Residence.
CountyTotal
HindsOther
Text messages is the best way to communicate about community outreach activitiesCount171734
Expected Count23.110.934.0
% Within County19.5%41.5%26.6%
Text messages is not the best way to communicate about community outreach activitiesCount702494
Expected Count63.930.194.0
% Within County80.5%58.5%73.4%
TotalCount8741128
Expected Count87.041.0128.0
% Within County100.0%100.0100.0%
χ2 = 6.866, df = 1, p = 0.009.
Table 13. Mail Reminders as the Best Way to Communicate to Respondents about Community Outreach Activities by Sex.
Table 13. Mail Reminders as the Best Way to Communicate to Respondents about Community Outreach Activities by Sex.
SexTotal
MaleFemale
Mail reminders are the best way to communicate about community outreach activitiesCount85058
Expected Count13.744.358.0
% Within Sex27.6%53.2%47.2%
Mail reminders are not the best way to communicate about community outreach activitiesCount214465
Expected Count15.349.765.0
% Within Sex72.4%46.8%52.8%
TotalCount2994123
Expected Count29.094.0123.0
% Within Sex100.0%100.0100.0%
χ2 = 5.831, df = 1, p = 0.016.
Table 14. Cross-tabulation results for email being the best way to communicate to respondents about community outreach activities by age.
Table 14. Cross-tabulation results for email being the best way to communicate to respondents about community outreach activities by age.
AgeTotal
Up to 1819–4546–6566 and Over
Email is the best way to communicate about community outreach activitiesCount119231760
Expected Count0.912.220.626.360.0
% Within Age50.0%73.1%52.3%30.4%46.9%
Email is not the best way to communicate about community outreach activitiesCount17213968
Expected Count1.113.823.429.868.0
% Within Age50.0%26.9%47.7%69.6%53.1%
TotalCount2264456128
Expected Count2.026.044.056.0128.0
% Within Age100.0%100.0%100.0%100.0%100.0%
χ2 = 13.826, df = 3, p = 0.003.
Table 15. Telephone Follow-Up Calls as the Best Way to Communicate to Respondents about Community Outreach Activities by Age.
Table 15. Telephone Follow-Up Calls as the Best Way to Communicate to Respondents about Community Outreach Activities by Age.
AgeTotal
Up to 1819–4546–6566 and Over
Telephone calls are the best way to communicate about community outreach activitiesCount04183153
Expected Count0.810.818.223.253.0
% Within Age0%15.4%40.9%55.4%41.4%
Telephone calls are not the best way to communicate about community outreach activitiesCount222262575
Expected Count1.215.225.832.875.0
% Within Age100.0%84.6%59.1%44.6%58.6%
TotalCount2264456128
Expected Count2.026.044.056.0128.0
% Within Age100.0%100.0%100.0%100.0%100.0%
χ2 = 13.167, df = 3, p = 0.004.
Table 16. Text Messages as the Best Way to Communicate with Respondents about Community Outreach Activities by Age.
Table 16. Text Messages as the Best Way to Communicate with Respondents about Community Outreach Activities by Age.
AgeTotal
Up to 1819–4546–6566 and Over
Text messages are the best way to communicate about community outreach activitiesCount21013934
Expected Count0.56.911.714.934.0
% Within County100.0%38.5%29.5%16.1%26.6%
Text messages are not the best way to communicate about community outreach activitiesCount016314794
Expected Count1.519.132.341.194.0
% Within County0%61.5%70.5%83.9%73.4%
TotalCount2264456128
Expected Count2.026.044.056.0128.0
% Within County100.0%100.0%100.0%100.0%100.0%
χ2 = 10.777, df = 3, p = 0.013.
Table 17. Mail Reminders as the Best Way to Communicate to Respondents about Community Outreach Activities by Age.
Table 17. Mail Reminders as the Best Way to Communicate to Respondents about Community Outreach Activities by Age.
AgeTotal
Up to 1819–4546–6566 and Over
Mail reminders are the best way to communicate about community outreach activitiesCount15243060
Expected Count0.912.220.626.360.0
% Within County50.0%19.2%54.5%53.6%46.9%
Mail reminders are not the best way to communicate about community outreach activitiesCount121202668
Expected Count1.113.823.429.868.0
% Within County50.0%80.8%45.5%46.4%53.1%
TotalCount2264456128
Expected Count2.026.044.056.0128.0
% Within County100.0%100.0%100.0%100.0%100.0%
χ2 = 10.035, df = 3, p = 0.018.
Table 18. Perceptions of Heart Disease Affecting Community the Most by County of Residence.
Table 18. Perceptions of Heart Disease Affecting Community the Most by County of Residence.
CountyTotal
HindsOther Combined
Heart disease affecting community the mostCount35944
Expected Count29.914.144.0
% Within County40.2%22.0%34.4%
Heart disease not affecting community the mostCount523284
Expected Count57.126.984.0
% Within County59.8%78.0%65.6%
TotalCount8741128
Expected Count87.041.0128.0
% Within County100.0%100.0100.0%
χ2 = 4.127, df = 1, p = 0.042.
Table 19. High Blood Pressure Affecting Community the Most by Sex.
Table 19. High Blood Pressure Affecting Community the Most by Sex.
SexTotal
MaleFemale
High Blood Pressure affecting community the mostCount101222
Expected Count5.216.822
% Within Sex34.5%12.8%17.9%
High Blood Pressure not affecting community the mostCount1982101
Expected Count23.877.2101.0
% Within Sex65.5%87.2%82.1%
TotalCount2994123
Expected Count29.094.0123.0
% Within Sex100.0%100.0100.0%
χ2 = 4.127, df = 1, p = 0.042.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Addison, C.; Campbell Jenkins, B.W.; Fortenberry, M.; Thigpen-Odom, D.; McCoy, P.; Young, L.; White, M.; Wilson, G.; Woodberry, C.; Herron, K.; et al. Evaluating Levels of Community Participation in a University-Community Partnership: The Jackson Heart Study. Diseases 2022, 10, 68. https://doi.org/10.3390/diseases10040068

AMA Style

Addison C, Campbell Jenkins BW, Fortenberry M, Thigpen-Odom D, McCoy P, Young L, White M, Wilson G, Woodberry C, Herron K, et al. Evaluating Levels of Community Participation in a University-Community Partnership: The Jackson Heart Study. Diseases. 2022; 10(4):68. https://doi.org/10.3390/diseases10040068

Chicago/Turabian Style

Addison, Clifton, Brenda W. Campbell Jenkins, Marty Fortenberry, Darcel Thigpen-Odom, Pamela McCoy, Lavon Young, Monique White, Gregory Wilson, Clevette Woodberry, Katherine Herron, and et al. 2022. "Evaluating Levels of Community Participation in a University-Community Partnership: The Jackson Heart Study" Diseases 10, no. 4: 68. https://doi.org/10.3390/diseases10040068

APA Style

Addison, C., Campbell Jenkins, B. W., Fortenberry, M., Thigpen-Odom, D., McCoy, P., Young, L., White, M., Wilson, G., Woodberry, C., Herron, K., & LaVigne, D. A. (2022). Evaluating Levels of Community Participation in a University-Community Partnership: The Jackson Heart Study. Diseases, 10(4), 68. https://doi.org/10.3390/diseases10040068

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop