Akilah Dulin-Keita1, Olivio Clay2, Shannon Whittaker3, Lonnie Hannon4, Ingrid K Adams5, Michelle Rogers6, Kim Gans7. 1. Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL 35294, USA. Electronic address: akilah_keita@brown.edu. 2. Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35294, USA. Electronic address: oclay@uab.edu. 3. Institute for Community Health Promotion, Department of Behavioral and Social Sciences, Brown University, Box G-S121-2, Providence, RI 02912, USA. Electronic address: Shannon_Whittaker@brown.edu. 4. Department of Sociology, Tuskegee University, Tuskegee, AL 36088, USA. Electronic address: lhannon@mytu.tuskegee.edu. 5. School of Human Environmental Sciences, University of Kentucky, Lexington, KY 40506, USA. Electronic address: Ingrid.adams@uky.edu. 6. College of Computing and Informatics, Drexel University, Philadelphia, PA 19104, USA. Electronic address: mrogers@drexel.edu. 7. Center for Health, Intervention and Prevention, Department of Human Development & Family Studies, 348 Mansfield Road, Unit 1058 Room 330, University of Connecticut, Storrs, CT 06269, USA. Electronic address: kim.gans@chip.uconn.edu.
Abstract
OBJECTIVES: This study uses a mixed methods approach to 1) identify surrounding residents' perceived expectations for Housing Opportunities for People Everywhere (HOPE VI) policy on physical activity outcomes and to 2) quantitatively examine the odds of neighborhood-based physical activity pre-/post-HOPE VI in a low socioeconomic status, predominantly African American community in Birmingham, Alabama. METHODS: To address aim one, we used group concept mapping which is a structured approach for data collection and analyses that produces pictures/maps of ideas. Fifty-eight residents developed statements about potential influences of HOPE VI on neighborhood-based physical activity. In the quantitative study, we examined whether these potential influences increased the odds of neighborhood walking/jogging. We computed block entry logistic regression models with a larger cohort of residents at baseline (n = 184) and six-months (n = 142, 77% retention; n = 120 for all informative variables). We examined perceived neighborhood disorder (perceived neighborhood disorder scale), walkability and aesthetics (Neighborhood Environment Walkability Scale) and HOPE VI-related community safety and safety for physical activity as predictors. RESULTS: During concept mapping, residents generated statements that clustered into three distinct concepts, "Increased Leisure Physical Activity," "Safe Play Areas," and "Generating Health Promoting Resources." The quantitative analyses indicated that changes in neighborhood walkability increased the odds of neighborhood-based physical activity (p = 0.04). When HOPE VI-related safety for physical activity was entered into the model, it was associated with increased odds of physical activity (p = 0.04). Walkability was no longer statistically significant. CONCLUSIONS: These results suggest that housing policies that create walkable neighborhoods and that improve perceptions of safety for physical activity may increase neighborhood-based physical activity. However, the longer term impacts of neighborhood-level policies on physical activity require more longitudinal evidence to determine whether increased participation in physical activity is sustained.
OBJECTIVES: This study uses a mixed methods approach to 1) identify surrounding residents' perceived expectations for Housing Opportunities for People Everywhere (HOPE VI) policy on physical activity outcomes and to 2) quantitatively examine the odds of neighborhood-based physical activity pre-/post-HOPE VI in a low socioeconomic status, predominantly African American community in Birmingham, Alabama. METHODS: To address aim one, we used group concept mapping which is a structured approach for data collection and analyses that produces pictures/maps of ideas. Fifty-eight residents developed statements about potential influences of HOPE VI on neighborhood-based physical activity. In the quantitative study, we examined whether these potential influences increased the odds of neighborhood walking/jogging. We computed block entry logistic regression models with a larger cohort of residents at baseline (n = 184) and six-months (n = 142, 77% retention; n = 120 for all informative variables). We examined perceived neighborhood disorder (perceived neighborhood disorder scale), walkability and aesthetics (Neighborhood Environment Walkability Scale) and HOPE VI-related community safety and safety for physical activity as predictors. RESULTS: During concept mapping, residents generated statements that clustered into three distinct concepts, "Increased Leisure Physical Activity," "Safe Play Areas," and "Generating Health Promoting Resources." The quantitative analyses indicated that changes in neighborhood walkability increased the odds of neighborhood-based physical activity (p = 0.04). When HOPE VI-related safety for physical activity was entered into the model, it was associated with increased odds of physical activity (p = 0.04). Walkability was no longer statistically significant. CONCLUSIONS: These results suggest that housing policies that create walkable neighborhoods and that improve perceptions of safety for physical activity may increase neighborhood-based physical activity. However, the longer term impacts of neighborhood-level policies on physical activity require more longitudinal evidence to determine whether increased participation in physical activity is sustained.
Authors: Stephanie Brooks Holliday; Wendy Troxel; Ann Haas; Madhumita Bonnie Ghosh-Dastidar; Tiffany L Gary-Webb; Rebecca Collins; Robin Beckman; Matthew Baird; Tamara Dubowitz Journal: Health Place Date: 2020-06-15 Impact factor: 4.078
Authors: Akilah J Dulin; Valerie A Earnshaw; Sannisha K Dale; Michael P Carey; Joseph L Fava; Marta Wilson-Barthes; Michael J Mugavero; Sarah Dougherty-Sheff; Bernadette Johnson; Sonia Napravnik; Chanelle J Howe Journal: AIDS Behav Date: 2020-09-17
Authors: Connor D Martz; Evelyn A Hunter; Michael R Kramer; Yijie Wang; Kara Chung; Michael Brown; Cristina Drenkard; S Sam Lim; David H Chae Journal: Health Place Date: 2021-06-09 Impact factor: 4.931