Cancer PRevention Through Enhanced EnvironMenT

NCT ID: NCT06864260

Last Updated: 2025-03-17

Basic Information

• Recruitment Status: ACTIVE_NOT_RECRUITING
• Clinical Phase: NA
• Total Enrollment: 300 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2024-05-01
• Study Completion Date: 2028-04-30

Brief Summary

The goal of Cancer PRevention through Enhanced EnvironMenT (Cancer PREEMpT) is to test whether a comprehensive intervention that improves the neighborhood built and social environment can reduce community-level cancer risk in persistent poverty (PP) areas. Our overall hypothesis is that enhancements of the living environment (both built and social) will lower cancer risk through several mechanisms. Built environment improvements will impact walkability (through improved lighting, sidewalks, green space) and access to preventive care (through a mobile wellness van and community health workers), which will stimulate health-related behaviors (physical activity, cancer screening). These improvements will also positively impact safety (through blight removal, traffic calming), social cohesion (through opportunities for socialization), and collective efficacy (through improved neighborhood perceptions). Social environment improvements will increase social cohesion (through community-led events) and collective efficacy (through a Community Leadership Academy and community grants), which will improve public safety as well as facilitate health-related behaviors (physical activity, prevention/wellness). Both types of improvements (built and social environment) will help reduce chronic stress, which will lower the PP community's cancer risk.

Detailed Description

Disparities in cancer prevention and outcomes by poverty status are well documented. Such disparities are rooted in structural and intermediate social determinants of health (SDOH), including neighborhood built and social environment (together referred to as living environment). Features of the living environment have major implications for cancer risk through behaviors such as physical activity and access to preventive care. Adverse neighborhood conditions also exacerbate the stress response, in the form of high allostatic load, which is a risk factor for many cancers. Reducing cancer disparities in persistent poverty (PP) areas requires a multisectoral approach in which citizens, organizations, businesses, and local governments unite to improve neighborhood conditions. However, despite compelling evidence that the living environment impacts health-related behaviors and outcomes, including cancer, there are virtually no interventions that determine to what extent modifications of the neighborhood built and social environments reduce cancer risk. Based on the Alcarez framework, the proposed study aims to fill this knowledge gap. The purpose of the study is to understand if interventions aimed at improving neighborhood built and social environment can reduce community-level cancer risk in 5 targeted PP neighborhoods (census tracts). Study specific aims are as follows:

Aim 1. Implement Cancer PREEMpT and assess whether the enhancement of living environment leads to increased public safety, use of parks and community spaces, community events, and prevention services.

After a community-engaged needs assessment, built and social environment improvements will be implemented in collaboration with our study partner, Live HealthSmart Alabama (LHSA). Public usage data will be gathered regarding public safety, use of parks and community spaces, and community events. The LHSA wellness van will visit PREEMpT targeted communities on a monthly basis for preventive assessments and referrals to primary care and cancer screening (cervical, breast, and colon). The public usage data will be gathered through non-human subjects (numeric counts, public crime data, and civil data). The prevention data will be gathered by the LHSA wellness van staff through de-identified counts of uptake of services by community members.

Aim 2. Determine the effect of improved living environment on community-level perceptions and behaviors related to cancer risk.

Using a sequential explanatory mixed methods design, surveys will be collected and focus groups will be conducted to assess community-level changes in perceptions and behaviors in the targeted areas. For the quantitative (survey) component, a two-group survey design will be used with independent, mutually exclusive samples pre- and post-intervention, and for the qualitative (focus group) component, focus groups with residents pre- and post-intervention will be conducted.

(2.1) SURVEYS. Surveys will be conducted with 150 participants from the targeted areas at baseline and 150 surveys with another set of participants from the targeted area in the last year of the study. The surveys will be administered by the staff of UAB Recruitment and Retention Shared Facility (RRSF).

(2.2) FOCUS GROUPS: 3 focus groups will be conducted at baseline and in the last year of the project, with approximately 6-10 participants per group. Participants will be randomly selected from those who complete pre- and post-intervention surveys (in 2.1 above). Focus groups will be moderated by trained staff who will a use semi-structured focus group guide to explore external barriers, facilitators, and community cultural norms associated with physical activity, safety, and wellness, with an emphasis on cancer prevention. Participants will also discuss factors related to the neighborhood built environment, social environment, and perceptions of crime.

Aim 3. Evaluate the impact of improved living environments on perceived and objective chronic stress.

Perceived Stress - Self-reported stress will be measured with the Perceived Stress Scale included in the Aim 2 surveys.

Objective Chronic Stress - Blood will be drawn in a sub-sample of participants to measure stress biomarkers, which will include 10 measures of allostatic load (AL). To assess community-level changes in AL, an experimental two-group design will be used with independent, mutually exclusive samples at baseline and Year 5. At baseline, 50 participants from the 150 survey respondents enrolled in the pre-intervention group (Aim 2) will be randomly selected, and at Year 5, 50 participants from the 150 survey respondents enrolled in the post-intervention group (Aim 2) will be randomly selected (for a total N = 100).

Conditions

Cancer Risk

Study Design

• Allocation Method: NON_RANDOMIZED
• Intervention Model: SEQUENTIAL
• Primary Study Purpose: PREVENTION
• Blinding Strategy: NONE

Study Groups

Pre-Intervention Group

Baseline data will be collected on participants in this arm before community-level built and social environment modifications (intervention) are implemented.

Group Type: NO_INTERVENTION

No interventions assigned to this group

Post-Intervention Group

Post-intervention data will be collected on participants in this arm (different participants than in the pre-intervention group) after community-level built and social environment modifications (intervention) are implemented.

Group Type: EXPERIMENTAL

Built Environment

Intervention Type: OTHER

Built environment modifications include sidewalks, sidewalk cuts, traffic-calming devices, crosswalks, transit improvements, green space, street trees, beautification, signage, lighting, wellness van

Social Environment

Intervention Type: OTHER

Neighborhood coalition, Community Leadership Academy (LHSA), community-led events, community health workers

Interventions

Built Environment

Built environment modifications include sidewalks, sidewalk cuts, traffic-calming devices, crosswalks, transit improvements, green space, street trees, beautification, signage, lighting, wellness van

Intervention Type: OTHER

Social Environment

Neighborhood coalition, Community Leadership Academy (LHSA), community-led events, community health workers

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

• Black race
• English speaker
• Resident of targeted census tract

Exclusion Criteria

• Non Black race
• Non-English speaker
• Not a resident of targeted community

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

National Institutes of Health (NIH)

NIH

Sponsor Role: collaborator

National Cancer Institute (NCI)

NIH

Sponsor Role: collaborator

University of Alabama at Birmingham

OTHER

Sponsor Role: lead

Responsible Party

Lori Bateman

Assistant Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Lori B Bateman, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Alabama at Birmingham

Gabriela R Oates, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Alabama at Birmingham

Locations

University of Alabama at Birmingham

Birmingham, Alabama, United States

Countries

United States

References

Rodriquez EJ, Kim EN, Sumner AE, Napoles AM, Perez-Stable EJ. Allostatic Load: Importance, Markers, and Score Determination in Minority and Disparity Populations. J Urban Health. 2019 Mar;96(Suppl 1):3-11. doi: 10.1007/s11524-019-00345-5.

Reference Type: BACKGROUND

PMID: 30671711 (View on PubMed)

Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983 Dec;24(4):385-96. No abstract available.

Reference Type: BACKGROUND

PMID: 6668417 (View on PubMed)

Cerin E, Saelens BE, Sallis JF, Frank LD. Neighborhood Environment Walkability Scale: validity and development of a short form. Med Sci Sports Exerc. 2006 Sep;38(9):1682-91. doi: 10.1249/01.mss.0000227639.83607.4d.

Reference Type: BACKGROUND

PMID: 16960531 (View on PubMed)

Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381-95. doi: 10.1249/01.MSS.0000078924.61453.FB.

Reference Type: BACKGROUND

PMID: 12900694 (View on PubMed)

Pearlin LI, Bierman A. Current Issues and Future Directions in Research into the Stress Process. In: C.S. A, J.C. P, A. B, eds. Handbook of the Sociology of Mental Health. Springer; 2013:325-340.

Reference Type: BACKGROUND

Alcaraz KI, Wiedt TL, Daniels EC, Yabroff KR, Guerra CE, Wender RC. Understanding and addressing social determinants to advance cancer health equity in the United States: A blueprint for practice, research, and policy. CA Cancer J Clin. 2020 Jan;70(1):31-46. doi: 10.3322/caac.21586. Epub 2019 Oct 29.

Reference Type: BACKGROUND

PMID: 31661164 (View on PubMed)

Gomez SL, Shariff-Marco S, DeRouen M, Keegan TH, Yen IH, Mujahid M, Satariano WA, Glaser SL. The impact of neighborhood social and built environment factors across the cancer continuum: Current research, methodological considerations, and future directions. Cancer. 2015 Jul 15;121(14):2314-30. doi: 10.1002/cncr.29345. Epub 2015 Apr 6.

Reference Type: BACKGROUND

PMID: 25847484 (View on PubMed)

Shariff-Marco S, Von Behren J, Reynolds P, Keegan TH, Hertz A, Kwan ML, Roh JM, Thomsen C, Kroenke CH, Ambrosone C, Kushi LH, Gomez SL. Impact of Social and Built Environment Factors on Body Size among Breast Cancer Survivors: The Pathways Study. Cancer Epidemiol Biomarkers Prev. 2017 Apr;26(4):505-515. doi: 10.1158/1055-9965.EPI-16-0932. Epub 2017 Feb 2.

Reference Type: BACKGROUND

PMID: 28154107 (View on PubMed)

Lynch SM, Handorf E, Sorice KA, Blackman E, Bealin L, Giri VN, Obeid E, Ragin C, Daly M. The effect of neighborhood social environment on prostate cancer development in black and white men at high risk for prostate cancer. PLoS One. 2020 Aug 13;15(8):e0237332. doi: 10.1371/journal.pone.0237332. eCollection 2020.

Reference Type: BACKGROUND

PMID: 32790761 (View on PubMed)

Frank LD, Saelens BE, Powell KE, Chapman JE. Stepping towards causation: do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity? Soc Sci Med. 2007 Nov;65(9):1898-914. doi: 10.1016/j.socscimed.2007.05.053. Epub 2007 Jul 17.

Reference Type: BACKGROUND

PMID: 17644231 (View on PubMed)

Obeng-Gyasi S, Tarver W, Carlos RC, Andersen BL. Allostatic load: a framework to understand breast cancer outcomes in Black women. NPJ Breast Cancer. 2021 Jul 30;7(1):100. doi: 10.1038/s41523-021-00309-6. No abstract available.

Reference Type: BACKGROUND

PMID: 34330927 (View on PubMed)

Akinyemiju T, Wilson LE, Deveaux A, Aslibekyan S, Cushman M, Gilchrist S, Safford M, Judd S, Howard V. Association of Allostatic Load with All-Cause andCancer Mortality by Race and Body Mass Index in theREGARDS Cohort. Cancers (Basel). 2020 Jun 26;12(6):1695. doi: 10.3390/cancers12061695.

Reference Type: BACKGROUND

PMID: 32604717 (View on PubMed)

McEwen BS, Stellar E. Stress and the individual. Mechanisms leading to disease. Arch Intern Med. 1993 Sep 27;153(18):2093-101.

Reference Type: BACKGROUND

PMID: 8379800 (View on PubMed)

Other Identifiers

5U54CA280770-02

Identifier Type: NIH

Identifier Source: secondary_id

View Link

IRB-300011733

Identifier Type: -

Identifier Source: org_study_id