Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2022 Jan 1.
Published in final edited form as: Fam Community Health. 2020 Aug 24:10.1097/FCH.0000000000000271. doi: 10.1097/FCH.0000000000000271

Conducting a Community “Street Survey” to Inform an Obesity Intervention: The WE Project

Maghboeba Mosavel 1, Dwala Ferrell 2, Jessica G LaRose 3, Juan Lu 4, Jodi Winship 5
PMCID: PMC7902738  NIHMSID: NIHMS1595856  PMID: 32842000

Abstract

Using a CBPR-approach, a citywide survey was conducted to explore perceptions of obesity and interventions to reduce obesity within an African American urban community. More than 1,300 surveys were collected within three months; 92.9% of respondents agreed or strongly agreed that obesity was an important health issue in the community and the majority indicated that family-based interventions were the preferred pathway for improving physical activity (86.0%) and nutrition (85.2%). Engaging community members in survey development and implementation was an effective approach to build local research capacity and establish a shared agenda of reaching a diverse sample of community residents.

Keywords: Community-Based Research, Community Health, Community Participation, Obesity, Surveys

INTRODUCTION

Obesity is a chronic condition that is both a pathway to other major health concerns and an outcome generated by a complexity of social determinants that disproportionately affect African American and low-income communities.1,2 This disparity is apparent in nationally representative surveys which have found that 48% of African American adults are obese compared to 36% of white adults.3 While researchers generally agree that obesity arises from a complex combination of genetics, socioeconomic, and environmental factors,4 the importance of context or place cannot be understated.5 Access to healthy food, safe places to engage in physical activity, and neighborhood walkability are all factors which can impact obesity.5,6 Developing community based interventions to address obesity cannot occur in isolation of input and community prioritization. However, a history of distrust stemming from unethical research practices from such atrocities as the Tuskegee syphilis study to the use of Henrietta Lacks’ cells without consent7 as well as everyday power imbalances between powerful institutions and communities, can impede African Americans’ willingness to participate in research needed to develop culturally and contextually appropriate health interventions.8 In recent decades, community-based participatory research (CBPR) has entered the discourse of highly relevant research paradigms9 and in particular, has emerged as a viable approach not only to build local research capacity and increase the translational potential of evidence-based research, but also to alleviate researcher mistrust and waning research participation.10,11

CBPR and Citizen Science

There is increasing recognition across the scientific spectrum that engagement of citizens in scientific endeavors has significant benefits, starting with the types of research questions that are being asked, robustness of data collection efforts, and the tremendous potential of community members to contribute to meaningful and contextually relevant solutions, regardless of scientific discipline.12 Furthermore, the importance of engaging community researchers, or citizen scientists, in the research enterprise beyond the limited role of research “subject” has emerged as a viable and necessary response to the academic-community divide and is critical to the credibility of the entire research enterprise.12,13 The basic principles of CBPR align with the concept of citizen science, an approach which arose out of ecology and astronomy research14 and has now been expanded to describe the various types of participatory research often seen in public health.14,15 Community researchers and citizen scientists are typically persons without formal training in the science of the topic of interest (although this might vary somewhat, particularly for engagement in the harder sciences).16 Both community researchers in public health and citizen scientists in more varied fields adhere to similar operational principles informing participation including the expectation of co-learning, collaboration and co-creation of knowledge which will be of benefit to the targeted communities.17,12 Similarly, citizen science and CBPR both highlight the importance of research questions driven by community need, building local capacity, and the collective transformative impact of researcher-community collaborations and knowledge production.15,16 Engagement of laypersons in all phases of the research process, including data collection efforts,13,18,19 have the potential to have a transformative impact on researcher-community collaborations and community relevant impact.16,20

Wellness Engagement Project

The Wellness Engagement (WE) Project was established in 2011 as an academic-community partnership between [UNIVERSITY] and [ORGANIZATION], a local non-profit community development corporation, and utilized a CBPR framework to understand and address health in a low-income urban community. Consistent with the principles of CPBR, the WE Project established the Community Health Leadership Council (CHLC) consisting of key leaders from diverse community sectors to serve as an advisory board to ensure the community voice was included throughout the project. A key principle of CBPR is that community input informs the research question,21 as such, the WE Project’s focus on obesity was in direct response to community feedback. Obesity was identified as an issue of concern through a series of community meetings hosted by the WE Project and attended by residents and representatives from various community, faith-based, health, and other civic organizations. Subsequently, the WE Project conducted a community-engaged needs assessment utilizing strategies such as asset mapping,22 a community survey, “house chats”23 and town hall meetings to inform the development of a pilot intervention to increase physical activity and improve dietary quality and intake in [CITY].

This paper describes the development and implementation of one component of the needs assessment, the community survey. We adapted a street-intercept survey methodology24 by incorporating a participatory approach which aimed not only to seek input but also to mobilize community partners and develop support. The purpose of this paper, therefore, is to describe our engagement with Ambassadors and community partners in the development and implementation of a community-wide survey, and to report the findings of the survey.

METHODS

Study Context

[CITY] is an independent city in [STATE], just south of the state’s capital, Richmond. It has a total population just under 32,00025 and is divided into seven administrative wards (Table 1). The majority of the population (78%) is African American and 25% of the residents live below the federal poverty line; [CITY]’s median annual household income is $32,169 - well below that of the [STATE] state median of $66,149.25 Along with economic difficulties, residents face disturbingly poor health factors and outcomes. [CITY] is ranked last, 133 out of the 133 counties in [STATE], for overall health factors and health behaviors (including obesity rates, smoking rates, and violent crime) and is also ranked 133/133 for poorest health outcomes and lowest quality of life in [STATE].26 Obesity is a major public health concern in [CITY], with rates of adult obesity at 45% – compared to the [STATE] average of 28%.26 At 41.5 per 100,000 persons, the diabetes rate in [CITY] is also the highest in the state.27 Similarly, rates for other diseases which are correlated with obesity, such as heart disease, are all higher in [CITY] than in [STATE] as a whole.28

Table 1.

Petersburg City demographics by ward

Ward % of Population Within each Ward* % African American* % Aged 18–64* Median HH Income*

1 14.8 73.1 64.6 $24,435
2 15.3 75.2 61.8 $38,143
3 14.6 69.2 66.3 $52,158
4 14.0 76.2 65.8 $36,686
5 13.6 86.6 65.2 $22,105
6 13.8 94.0 60.4 $26,738
7 13.9 81.0 66.4 $37,557
missing/unknown - - - -
*

Source: M. Bittner, Petersburg City Planner, personal communication, February 6, 2015.

Recruiting Wellness Ambassadors

To build local capacity and promote community participation in all aspects of the research, the WE Project hired and trained community residents as Wellness Ambassadors – community researchers who collaborated with research staff to develop and implement all components of the needs assessment and intervention. A total of 16 Ambassadors were recruited at public meetings and through community partner referrals, flyers, and social media advertisements. Ambassadors were required to be at least 18 years of age, reside in [CITY] and demonstrate a strong interest in improving the health and wellbeing of the community. Demographic characteristics of the 16 Ambassadors are shown in Table 2.

Table 2.

Characteristics of survey distributors

Variable Wellness Ambassadors n=16 Leadership Council n=9 Consortium Members n=3 Program Staff n=4

Age
 18–29 6 (38%) 1 (11%) 0 0
 30–45 4 (25%) 3 (33%) 1 (33%) 2 (50%)
 46–64 6 (38%) 4 (44%) 2 (67%) 2 (50%)
 65+ 0 1 (11%) 0 0
Sex
 Female 10 (63%) 4 (44%) 2 (67%) 3 (75%)
 Male 6 (37%) 5 (56%) 1 (33%) 1 (25%)
Race/Ethnicity
    African American 15 (94%) 8 (89%) 1 (33%) 4 (100%)
    White/Other 1 (6%) 1 (11%) 2 (67%) 0
 Survey Distribution
  (N=1,044) 617 (59%) 281 (27%) 56 (5 %) 90 (9%)

Development of Survey Instrument

The goal of the survey was to better understand the community’s perceptions of obesity, openness towards behavioral change, access to affordable produce and intervention preferences. Consistent with the principles of CBPR, the survey was collaboratively developed by a team consisting of academic researchers, Wellness Ambassadors, and CHLC members, thus providing an important co-learning opportunity. The community stakeholders often voiced concern about questions that might be perceived as negative or invasive and encouraged questions that were constructed as non-judgmental and affirmative. On the other hand, the research team shared information about question construction, internal and external validity, the importance of having a representative sample, missing data and data analysis. Initially, validated instruments were presented by the academic research team as the preferable option; however, Ambassadors and CHLC members encouraged the research team to develop questions compatible with the community’s perceived level of readiness for research. The team reviewed survey drafts over the course of four meetings and were especially attuned to the phrasing of questions, ensuring that questions sounded neutral and would not be perceived as intrusive. For instance, personally identifiable or sensitive data was not collected; in an effort to protect privacy yet recognizing the importance of location within the city, rather than asking for a participant’s address, it was decided that ward location could be determined by a combination of neighborhood name, councilperson, and location of the nearest playground, park, corner store, or carry-out store.

The survey was pilot tested for content validity with 56 individuals. For example, wording of some questions were clarified and other minor changes were made including spelling out the acronyms for the Wellness Engagement Project and [CITY] Wellness Consortium. Pilot testing revealed that several residents did not know their ward councilperson and that some neighborhoods were known by multiple names; therefore, questions about neighborhood landmarks (e.g. playgrounds, corner stores) were included in the final survey to establish ward representativeness and it was determined that answers to at least two of the four location items were sufficient to make a correct ward determination.

The final 24-item survey included questions about health and obesity, demographics (age, sex, local residency), as well as cellphone ownership and text capability to determine if text messaging would be feasible in an intervention. The survey was designed to be self-administered and was determined to require only 5–7 minutes, on average, to complete.

Data Collection

A survey administration guide was created and weekly team meetings were used to train the research team and address issues related to project implementation (Table 3). Surveys were distributed in-person and were self-administered. Ambassadors first explained the purpose of the survey and then made a personal request for respondents whether at a group meeting or approaching an individual. The Ambassadors were assigned to first distribute surveys within their specific wards ([CITY] is divided into seven wards); however, they also distributed surveys city-wide. At weekly team meetings, Ambassadors shared a list of upcoming community wide activities and identified potential recruitment sites within each ward. CHLC members, program/academic staff, and Consortium members also distributed surveys at key locations such as the YMCA, churches, and other community-based organizations. Monetary or token incentives were not provided to survey participants.

Table 3.

Summary of Wellness Ambassador survey administration training points

Survey Recruitment Survey Administration Safety

• Utilize social network to obtain participants • Survey to be self-administered unless have difficulty reading/writing • Door-to-door is not required
• Contact at least 2 organizations in your neighborhood • Do not explain question if they don’t understand, ask them to respond as best as they can • Only go where you feel comfortable
• Identify and attend community events scheduled in assigned ward • Do not write in answers • Bring a friend
• Canvas your neighborhood • Check for completeness while respondent is there • Wear WE t-shirt or button
• Only one survey per person – ask if they have already taken it

Implementation challenges.

Various ethical issues were discussed including issues of social proximity, selection bias, social desirability, scientific rigor, and data integrity.29 To address issues related to proximity and socially desirable responses, surveys were designed to be self-administered unless participants indicated they needed help completing the survey. Maintaining privacy and confidentiality of participants especially given the likelihood that participants may be known to the Ambassador, was an important training consideration. Consequently, Ambassadors provided survey participants with a manila envelope wherein to place completed surveys.

Another issue of concern was that Ambassadors might exclusively approach members of their social network to complete surveys. However, this concern was counterbalanced when after the first few weeks of reaching out to those within close physical and social proximity, they expanded their reach to those outside their networks.

Face-to-face survey recruitment was identified as optimal both to build relationships and for residents to learn more about the WE project. Ambassadors, however, were unfavorable towards a door-to-door strategy for completing surveys due to neighborhood safety issues and general mistrust of the community towards individuals or groups who conduct door-to-door solicitation. In response to these concerns, the team determined that distributing the surveys in public spaces or events would be a more acceptable approach. Ambassadors also wore a yellow project T-shirt and name button while distributing surveys to identify their affiliation with the WE project.

Study Sample

A minimum sample size of 1,000 was chosen to represent 3% of the population in [CITY], which is similar to sample sizes of government-funded community surveys in the region.30 Survey distributiton was stratified by city Ward, and Ambasssadors were instructed to seek out participants of various genders and ages. Exclusionary criteria included not being a [CITY] resident and age younger than 18 years. Despite these parameters, in some cases, youth or non-residents participated and these survey responses were excluded from the analysis.

Data Analysis

Descriptive statistics were used to summarize elements of survey dissemination, such as data collectors, distribution locations, and demographics of survey participants and responses. All data analysis was performed by VCU research team using JMP Pro 13 statistical software from SAS.

RESULTS

Survey Dissemination

The surveys were distributed at a wide range of venues including faith-based organizations, health and wellness fairs, ward and City Council meetings, walking tracks, parks, food banks, gas stations, corner stores, social service organizations, as well as at House Chats23 and informal conversations (Table 4). Ambassadors distributed a majority of the surveys (59%), followed by CHLC members (27%), program/academic staff (9%) and Consortium members (5%) (Table 2). A total of 1,317 survey responses were collected in three months. After excluding responses from non-residents (203 out of 1,317 or 15%) and those younger than 18 (20 out of 1,317 or 2%), 1,044 survey responses were included in the analysis. Ambassadors reported high participation rates of those approached and indicated that the refusals (5%) they encountered cited lack of time or being non-residents.

Table 4.

Survey distribution points (N=1,044)

Location n (%)

Other (businesses, social networks, etc) 381 (36.5)
Misc. community events 142 (13.7)
House chats 126 (12.1)
Faith based organizations/Churches 117 (11.2)
Neighborhood canvassing 90 (8.6)
Health & Wellness Day event 87 (8.3)
Housing estates/Housing complexes 55 (5.3)
Other community organizations 46 (4.4)

Survey Responses

The characteristics of the survey respondents are shown in Table 5. About one-third of the survey participants were male and the majority (54.1%) were residents between 30 and 65 years old. Respondents came from all seven wards with the highest concentration being from Ward 6 (19.7%) and the lowest from Ward 1 (9.4%). Nearly all participants were in agreement regarding the questions of “obesity or being overweight is an important health issue to address in [CITY]” (93%), “weight is an important health issue in my own family” (82%), “I would like to exercise more, but I need support and encouragement to make behavior changes” (82%), and “being as healthy as we can be is important to my family and me” (95%). Forty three percent (43%) agreed or strongly agreed that fresh fruits and vegetables are not usually available at their local store (Table 6). With regard to the responses about the preferred intervention approach, the majority indicated that the optimal approach was to work at the family level with parents and children to help them eat healthier (86%) and to become more physically active (85%); the majority (77%) also indicated that they have a personal cellphone that they use to send and receive text messages (Table 6).

Table 5.

Characteristics of survey participants (N=1,044)

Variable n (%)

Age
18–29 300 (28.7)
30–45 184 (17.6)
46–65 381 (36.5)
66+ 153 (14.7)
Missing 26 (2.5)
Sex
Male 333 (31.9)
Female 707 (67.7)
Missing 4 (0.4)
Ward
1 98 (9.4)
2 138 (13.2)
3 191 (18.3)
4 163 (15.6)
5 109 (10.4)
6 206 (19.7)
7 107 (10.3)
Missing 32 (3.0)

Table 6.

Frequency of survey responses (N=1,044)

Strongly Agree n (%) Agree n (%) Disagree n (%) Strongly Disagree n (%) Missing n (%)

Obesity or being overweight is an important health issue to address in Petersburg 634 (60.7) 336 (32.2) 45 (4.3) 24 (2.3) 5 (0.5%)
Weight is an important health issue in my own family 376 (36.0) 484 (46.4) 146 (14.0) 34 (3.3) 4 (0.4)
I would like to eat healthier, but I need more education about the right foods to eat and cook 305 (29.2) 526 (50.4) 165 (15.8) 39 (3.7) 9 (0.9)
I would like to exercise more or be more physically active, but I need support and encouragement to make behavior changes 336 (32.2) 515 (49.3) 151 (14.5) 38 (3.6) 4 (0.04)
Being as healthy as we can be is important to my family and me 564 (54.0) 432 (41.1) 32 (3.1) 9 (0.9) 7 (0.7)
My neighborhood is a safe place for my family and me to engage in physical activity/exercise 208 (19.9) 521 (49.9) 219 (21.0) 83 (8.0) 13 (1.2)
I cannot afford to buy healthy foods to eat 167 (16.0) 321 (30.7) 431 (41.3) 115 (11.0) 10 (1.0)
Fresh fruits and vegetables are not usually available for purchase at my local neighborhood store 175 (16.8) 268 (25.7) 420 (40.2) 176 (16.9) 5 (0.5)

Family n (%) Parents n (%) Children n (%) Missing n (%)

The best way to really help families become more physically active is to work with: 889 (86.0) 75 (7.2) 64 (6.1) 7 (0.7)
The best way to really help families eat healthier is to work with: 889 (85.2) 92 (8.8) 54 (5.2) 9 (0.9)

Yes n (%) No n (%) Missing n (%)

Before today, had you heard about the WE project? 340 (32.6) 696 (66.7) 8 (0.8)
Before today, had you heard about the PWC? 238 (22.8) 797 (76.3) 9 (0.9)
Have you heard of the Petersburg Million Mile Challenge? 303 (29.0) 732 (70.1) 9 (0.9)
Do you have a personal cellphone that you use to send and receive text messages? 807 (77.3) 204 (19.5) 33 (3.2)

DISCUSSION

Our study expands upon research which has shown the effectiveness of street-intercept surveys to reach urban and underserved communities24,31 and posits that incorporating a participatory approach to the design and dissemination of the survey can not only improve reach, but just as importantly, build community capacity. The extensive WE partner network and especially the efforts of the Ambassadors resulted in the collection of more than 1,300 surveys within three months. The use of laypersons as a main conduit for data collection was effective largely because of their desire to ensure the survey was inclusive of diverse community input. The Ambassadors were instrumental in ensuring that community-level anxieties, particularly regarding mistrust of research and concerns about the ubiquitous poor health rankings, were considered with the phrasing of questions. Furthermore, there was a demonstrable sense of ownership which resulted in high levels of engagement from the Ambassadors and Leadership Council members who also expressed anxiety about ensuring we were effective in reaching a diverse sample.32,33 Engaging laypersons in community research may result in emotional burden as well as credibility dilemmas.29,3436 Ambassadors clearly communicated their need to engage the community using a survey which had a clear purpose and one which they co-created, primarily because as the frontline workers3739 representing the WE project their credibility was at stake. Furthermore, although the survey development process was lengthy, especially in terms of seeking feedback from a wide range of stakeholders, once the survey was finalized, the entire team assumed ownership. This input enhanced internal and external validity while improving recruitment and potentially improving accuracy of the information. The Ambassador input resulted in greater sensitivity to the community context but was also an important tool for building community trust.40

Findings reflect community wide acknowledgement of obesity as a central issue of concern and a clear need for programs to promote healthy lifestyle behaviors. Consistent with previous research in underserved African American communities, lack of access to fresh produce was a barrier to healthy eating, reiterating the importance of intervening on multiple levels.6,41,42 Furthermore, respondents expressed a clear preference for programming that involves the family as a unit which supports research that indicates family based treatment have been shown to be most effective for obesity treatment among youth.43,44

Dissemination and Implications of Study Findings

Consistent with the principles of CBPR, we disseminated the findings to key stakeholders. We also hosted a youth day45 to share the study findings and to seek input on the intervention development. Using key aspects of the needs assessment findings, we produced and hosted a play, “Changes and Choices,” 45,46 to further engage the community in the intervention planning. Based on survey and other study data, as well as existing evidence-based programs, the pilot intervention will include both parents and children while incorporating community-level activities aimed at positively impacting food choices and increasing physical activity. Furthermore, as a result of the community capacity built through the Wellness Engagement Project, the [CITY} Wellness Consortium was established as an independent community consortium to sustain and expand the work initiated from the academic-community research partnership.47

Strengths and Limitations

Several limitations need to be considered which affect the generalizability of the study. The survey was not a random selection of residents; instead it was a stratified, focused effort to ensure a diverse sample across the City. Initially, there was some concern that Ambassadors may only distribute the survey amongst those they know. However, this issue was specifically addressed in training and Ambassadors were requested to collect survey data from within and outside their network and neighborhood to reach a diverse sample. Although not necessarily a study limitation, the survey questions were phrased less directly due to Ambassadors input and consideration of the community context and readiness for research participation. However, this tension between research need and community context and readiness is anticipated in CBPR, and is not considered a barrier but instead an opportunity for co-learning. Fortunately, neither partner relationships nor community context remain static; academic-community partnerships and community relationships continually evolve as trust is developed.48 For example, if a community survey was conducted today in [CITY], it is likely that there would be higher levels of trust due to the sustained engagement of the [PROJECT] as well as the [CITY] Wellness Consortium. The timing of when certain methodologies are used and the content of questions need to be carefully considered against the backdrop of community context and readiness.48 Furthermore, while we developed a rigorous verification process to determine the ward location for those who were unable to identify their neighborhood name or ward councilmember, there may still be minimal error with regard to ward assignment. Overall, the strengths of this study include the large sample, good representation of men and residents across each of the wards, adherence to CBPR principles, and most importantly, community input that will serve to inform obesity related programming and initiatives in a low resource city whose residents are at high risk for obesity and its co-morbidities.

CONCLUSION

Researchers need to be cognizant and sensitive to the relational aspects in determining the use of certain research methods and approaches, particularly when working within communities of color who may have historic skepticism of researchers. The process of close collaboration with Wellness Ambassadors and other community stakeholders to develop and implement the survey in a predominately African American urban community demonstrates the concomitant responsibility of listening to and integrating community input. This process demonstrated the foundational elements of engagement in practice; the importance of community input and subsequently provided strong credibility and support for future efforts of the WE project.

Acknowledgements

Funding for this study was made available by the National Institute of Minority Health and Health Disparities R24MD008128.

Footnotes

The authors have no conflicts of interest to disclose.

Contributor Information

Maghboeba Mosavel, Department of Health Behavior and Policy, Virginia Commonwealth University, P.O. Box 980149, Richmond, VA 23219.

Dwala Ferrell, Chief Executive Officer, Pathways, Inc, Petersburg, Petersburg, VA.

Jessica G. LaRose, Department of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA.

Juan Lu, Department of Family Medicine, Division of Epidemiology, Virginia Commonwealth University, Richmond, VA.

Jodi Winship, Department of Occupational Therapy, Virginia Commonwealth University, Richmond, VA.

References

  • 1.Centers for Disease Control and Prevention. Fact sheet - CDC health disparities and inequalities report - U.S, 2011. 2011; https://www.cdc.gov/minorityhealth/chdir/2011/factsheet.pdf.
  • 2.Thorpe RJ Jr., Kelley E, Bowie JV, Griffith DM, Bruce M, LaVeist T. Explaining racial disparities in obesity among men: Does place matter? Am J Mens Health. 2015;9(6):464–472. doi: 10.1177/1557988314551197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in obesity among adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284–2291. doi: 10.1001/jama.2016.6458. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Albuquerque D, Nobrega C, Manco L, Padez C. The contribution of genetics and environment to obesity. Br Med Bull. 2017;123(1):159–173. doi: 10.1093/bmb/ldx022. [DOI] [PubMed] [Google Scholar]
  • 5.Booth KM, Pinkston MM, Poston WS. Obesity and the built environment. J Am Diet Assoc. 2005;105(5 Suppl 1):S110–117. doi: 10.1016/j.jada.2005.02.045. [DOI] [PubMed] [Google Scholar]
  • 6.Oates GR, Phillips JM, Bateman LB, Baskin ML, Fouad MN, Scarinci IC. Determinants of obesity in two urban communities: Perceptions and community-driven solutions. Ethn Dis. 2018;28(1):33–42. doi: 10.18865/ed.28.1.33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Scharff DP, Mathews KJ, Jackson P, Hoffsuemmer J, Martin E, Edwards D. More than tuskegee: Understanding mistrust about research participation. J Health Care Poor Underserved. 2010;21(3):879–897. doi: 10.1353/hpu.0.0323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Corbie-Smith G, Thomas SB, St. George DMM. Distrust, race, and research. Arch Gen Intern Med. 2002;162(21). doi: 10.1001/archinte.162.21.2458. [DOI] [PubMed] [Google Scholar]
  • 9.Macaulay AC. Participatory research: What is the history? Has the purpose changed? Family Practice. 2017;34(3):256–258. doi: 10.1093/fampra/cmw117. [DOI] [PubMed] [Google Scholar]
  • 10.Jagosh J, Bush PL, Salsberg J, et al. A realist evaluation of community-based participatory research: Partnership synergy, trust building and related ripple effects. BMC Public Health. 2015;15:725. doi: 10.1186/s12889-015-1949-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Komaie G, Ekenga CC, Sanders Thompson VL, Goodman MS. Increasing community research capacity to address health disparities. J Empir Res Hum Res Ethics. 2017;12(1):55–66. doi: 10.1177/1556264616687639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Hinckson E, Schneider M, Winter SJ, et al. Citizen science applied to building healthier community environments: Advancing the field through shared construct and measurement development. Int J Behav Nutr Phys Act. 2017;14(1):133. doi: 10.1186/s12966-017-0588-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Dilley JR, Moore JB, Summers P, et al. A citizen science approach to determine physical activity patterns and demographics of greenway users in winston-salem, north carolina. Int J Environ Res Public Health. 2019;16(17). doi: 10.3390/ijerph16173150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Wiggins A, Wilbanks J. The rise of citizen science in health and biomedical research. Am J Bioeth. 2019;19(8):3–14. doi: 10.1080/15265161.2019.1619859. [DOI] [PubMed] [Google Scholar]
  • 15.Den Broeder L, Devilee J, Van Oers H, Schuit AJ, Wagemakers A. Citizen science for public health. Health Promot Int. 2018;33(3):505–514. doi: 10.1093/heapro/daw086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Katapally TR. The smart framework: Integration of citizen science, community-based participatory research, and systems science for population health science in the digital age. JMIR Mhealth Uhealth. 2019;7(8):e14056. doi: 10.2196/14056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Barrie H, Soebarto V, Lange J, Mc Corry-Breen F, Walker L. Using citizen science to explore neighbourhood influences on ageing well: Pilot project. Healthcare (Basel). 2019;7(4). doi: 10.3390/healthcare7040126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Feldman RE, Zemaite I, Miller-Rushing AJ. How training citizen scientists affects the accuracy and precision of phenological data. Int J Biometeorol. 2018;62(8):1421–1435. doi: 10.1007/s00484-018-1540-4. [DOI] [PubMed] [Google Scholar]
  • 19.Komaie G, Goodman M, McCall A, et al. Training community members in public health research: Development and implementation of a community participatory research pilot project. Health Equity. 2018;2(1):282–287. doi: 10.1089/heq.2018.0043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Cacari-Stone L, Wallerstein N, Garcia AP, Minkler M. The promise of community-based participatory research for health equity: A conceptual model for bridging evidence with policy. Am J Public Health. 2014;104(9):1615–1623. doi: 10.2105/AJPH.2014.301961. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Israel BA, Schulz AJ, Parker EA, Becker AB, Allen AJ 3rd, Guzman JR. Critical issues in developing and following cbpr principles. In: Minkler M, Wallerstein N, eds. Community-based participatory research for health : From process to outcomes. 2 ed. Hoboken, NJ: Jossey-Bass; 2010. [Google Scholar]
  • 22.Mosavel M, Gough MZ, Ferrell D. Using asset mapping to engage youth in community-based participatory research: The we project. Prog Community Health Partnersh. 2018;12(2):223–236. doi: 10.1353/cpr.2018.0042. [DOI] [PubMed] [Google Scholar]
  • 23.Mosavel M, Ferrell D, LaRose JG. House chats as a grassroots engagement methodology in community-based participatory research: The we project, petersburg. Prog Community Health Partnersh. 2016;10(3):391–400. doi: 10.1353/cpr.2016.0046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Miller K, Wilder L, Stillman F, Becker D. The feasibility of a street-intercept survey method in an African-American community. American Journal of Public Health. 1997;87(4):655–658. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.U.S. Census Bureau. Quick facts: Petersburg city (county). 2017; https://www.census.gov/quickfacts/fact/table/petersburgcityvirginiacounty,US/PST045217.
  • 26.County Health Rankings & Roadmaps. Petersburg city, county demographic. 2018; http://www.countyhealthrankings.org/app/virginia/2018/rankings/petersburg-city/county/outcomes/overall/snapshot. Accessed Sept 18, 2018.
  • 27.Centers for Disease Control and Prevention. State and county indicators: Diagnosed diabetes incidence county estimates (Virginia). 2013; https://www.cdc.gov/diabetes/data/countydata/statecountyindicators.html. Accessed 17 April, 2018.
  • 28.Virginia Department of Health. Health profile, Petersburg city, 2013. 2013; http://166.67.66.226/HealthStats/Petersburg13.htm. Accessed 17 April, 2018.
  • 29.Richman K, Alexander L, True G. Proximity, ethical dilemmas and community research workers. American Journal of Bioethics. 2012;3(4):19–29. doi: [Google Scholar]
  • 30.National Research Center Inc, International City/County Managment Association. The national citizen survey: Technical appendices, Charlottesville, VA. 2014; http://www.charlottesville.org/home/showdocument?id=33343. [Google Scholar]
  • 31.Bryant-Stephens T, Kurian C, Chen Z. Brief report of a low-cost street-corner methodology used to assess inner-city residents’ awareness and knowledge about asthma. J Urban Health. 2011;88 Suppl 1:156–163. doi: 10.1007/s11524-010-9518-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Mosavel M, Simon C, van Stade D, Buchbinder M. Community-based participatory research (CBPR) in South Africa: Engaging multiple constituents to shape the research question. Social Science & Medicine. 2005;61(12):2577–2587. doi: 10.1016/j.socscimed.2005.04.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Reininger BM, Barroso CS, Mitchell-Bennett L, et al. Process evaluation and participatory methods in an obesity-prevention media campaign for Mexican Americans. Health Promot Pract. 2010;11(3):347–357. doi: 10.1177/1524839908321486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Mosavel M, Ahmed R, Daniels D, Simon C. Community researchers conducting health disparities research: Ethical and other insights from fieldwork journaling. Soc Sci Med. 2011;73(1):145–152. doi: 10.1016/j.socscimed.2011.04.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Simon C, Mosavel M. Community members as recruiters of human subjects: Ethical considerations. American Journal of Bioethics. 2010;10(3):3–11. doi: 10.1080/15265160903585578. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Kraemer Diaz AE, Spears Johnson CR, Arcury TA. Variation in the interpretation of scientific integrity in community-based participatory health research. Soc Sci Med. 2013;97:134–142. doi: 10.1016/j.socscimed.2013.08.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Kingori P Experiencing everyday ethics in context: Frontline data collectors perspectives and practices of bioethics. Soc Sci Med. 2013;98:361–370. doi: 10.1016/j.socscimed.2013.10.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Fisher CB, True G, Alexander L, Fried AL. Moral stress, moral practice, and ethical climate in community-based drug-use research: Views from the front line. AJOB Primary Research. 2013;4(3):27–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Richman KA, Alexander LB, True G. How do street-level research workers think about the ethics of doing research “on the ground” with marginalized target populations? AJOB Empirical Bioethics. 2015;6(2):1–11. [Google Scholar]
  • 40.Viswanathan M AA, Eng E, Gartlehner G, Lohr KN, Griffith D, Rhodes S, Samuel-Hodge C, Maty S, Lux L, Webb L, Sutton SF, Swinson T, Jackman A, Whitener L Community-based participatory research: Assessing the evidence. Rockville, MD: AHRQ;2004. [PMC free article] [PubMed] [Google Scholar]
  • 41.Robinson T Applying the socio-ecological model to improving fruit and vegetable intake among low-income African Americans. J Community Health. 2008;33(6):395–406. doi: 10.1007/s10900-008-9109-5. [DOI] [PubMed] [Google Scholar]
  • 42.Walker RE, Keane CR, Burke JG. Disparities and access to healthy food in the United States: A review of food deserts literature. Health Place. 2010;16(5):876–884. doi: S1353–8292(10)00058–4 [pii] 10.1016/j.healthplace.2010.04.013. [DOI] [PubMed] [Google Scholar]
  • 43.Epstein LH, Paluch RA, Roemmich JN, Beecher MD. Family-based obesity treatment, then and now: Twenty-five years of pediatric obesity treatment. Health Psychol. 2007;26(4):381–391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Mclean N, Griffin S, Toney K, Hardeman W. Family involvement in weight control, weight maintenance and weight-loss interventions: A systematic review of randomised trials. Int J Obes (Lond). 2003;27:987–1005. [DOI] [PubMed] [Google Scholar]
  • 45.Mosavel M, Winship J, Ferrell D, LaRose JG. Data dissemination in CBPR: Accountability and responsiveness. Collaborations: A Journal of Community-Based Research and Practice 2019;2 (1 ):1–11. [Google Scholar]
  • 46.Index Progress, Petersburg VA. WE project presents “changes and choices”. Staff Report. Nov 12, 2014. [Google Scholar]
  • 47.Mosavel M, Winship J, Liggins V, Cox T, Roberts M, Jones D. Community-based participatory research and sustainability: The Petersburg Wellness Consortium. Journal of Community Engagement and Scholarship. 2019;11(2). [Google Scholar]
  • 48.Sandoval JA, Lucero J, Oetzel J, et al. Process and outcome constructs for evaluating community-based participatory research projects: A matrix of existing measures. Health Educ Res. 2012;27(4):680–690. doi: 10.1093/her/cyr087. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES