RESUMO
Conceptualizing and testing factors that contribute to the success of community-academic partnerships are critical to understanding their contributions to the health and well-being of communities. Most measures to date focus on factors that contribute to the development of new partnerships, and only a few have been adequately tested and validated. Methods. The Measurement Approaches to Partnership Success (MAPS) study followed a community-based participatory research (CBPR) approach and a multiphase process that included the construction and pilot testing of a questionnaire, and a national survey to validate the psychometric properties of the questionnaire in long-standing CBPR partnerships (existing ≥ six years). All members within partnerships were recruited to complete the survey (55 partnerships with 563 partners). We used confirmatory factor analysis (CFA), Cronbach's alpha statistics, and a pairwise correlations approach to assess discriminant and convergent validity, and assessed internal consistency, and test-retest reliability. Results. All MAPS Questionnaire dimensions demonstrated strong validity and reliability and demonstrated agreement over time. Conclusion. The MAPS Questionnaire includes seven dimensions and 81 items related to the MAPS conceptual model and provides a scientific, in-depth measurement tool that allows long-standing CBPR partnerships to evaluate their work toward achieving health equity.
Assuntos
Pesquisa Participativa Baseada na Comunidade , Modelos Teóricos , Humanos , Reprodutibilidade dos Testes , Inquéritos e Questionários , Pesquisa Participativa Baseada na Comunidade/métodos , PsicometriaRESUMO
OBJECTIVE: Previous studies have demonstrated associations between race-based residential segregation, neighborhood socioeconomic and physical environmental characteristics, and mortality. Relatively few studies have examined independent and joint effects of these multiple neighborhood characteristics and mortality, including potential mediating pathways. In this study we examine the extent to which associations between race-based residential segregation and all-cause mortality may be explained by multiple socioeconomic indicators and exposure to air pollutants. METHODS: Drawing on data from multiple sources, we assessed bivariate associations between race-based residential segregation (operationalized as percent non-Hispanic Black), education (percent with graduate equivalency degree), poverty (percent below poverty), income inequality (GINI coefficient) and air pollution (ambient PM2.5) and age adjusted all-cause, all race mortality (henceforth all cause mortality) at the census tract level in the Detroit Metropolitan Area. We used inequality curves to assess the (in)equitable distribution of economic and environmental characteristics by census tract racial composition. Finally, we used generalized estimating equations (GEE) to examine independent and joint associations among percent NHB, education, income inequality, and air pollution to all-cause mortality, and test for mediating effects. RESULTS: Bivariate associations between racial composition, education, poverty, income inequality, PM2.5 and all-cause mortality were statistically significant. Census tracts with higher concentrations of NHB residents had significantly lower educational attainment, higher poverty, and greater exposure to PM2.5. In multivariate models, education, income inequality and PM2.5 fully attenuated associations between racial composition and all-cause mortality. CONCLUSIONS: Results are consistent with the hypothesis that race-based residential segregation is associated with heightened all-cause mortality, and that those effects are mediated by education, income inequality, and exposure to air pollution at the census tract level. Public health and cross-sector interventions to eliminate race-based residential segregation or to eliminate the maldistribution of educational and economic resources, and environmental exposures, across census tracts could substantially reduce regional inequities in all-cause mortality.
Assuntos
População Negra/estatística & dados numéricos , Meio Ambiente , Mortalidade , Características de Residência/estatística & dados numéricos , Fatores Socioeconômicos , Adulto , Poluição do Ar , Censos , Pesquisa Participativa Baseada na Comunidade , Feminino , Humanos , Masculino , Michigan , Pessoa de Meia-Idade , Pobreza , Segregação SocialRESUMO
OBJECTIVES: The purpose of this study was to evaluate the effectiveness of the Walk Your Heart to Health (WYHH) intervention, one component of the multilevel Community Approaches to Cardiovascular Health: Pathways to Heart Health (CATCH:PATH) intervention designed to promote physical activity and reduce cardiovascular risk among non-Hispanic Black and Hispanic residents of Detroit, Michigan. The study was designed and implemented using a community-based participatory research approach that actively engaged community residents, health service providers and academic researchers. It was implemented between 2009 and 2012. METHOD: WYHH was a 32-week community health promoter-facilitated walking group intervention. Groups met three times per week at community-based or faith-based organizations, and walked for 45 to 90 minutes (increasing over time). The study used a cluster randomized control design to evaluate effectiveness of WYHH, with participants randomized into intervention or lagged intervention (control) groups. Psychosocial, clinical, and anthropometric data were collected at baseline, 8, and 32 weeks, and pedometer step data tracked using uploadable peisoelectric pedometers. RESULTS: Participants in the intervention group increased steps significantly more during the initial 8-week intervention period, compared with the control group (ß = 2004.5, p = .000). Increases in physical activity were associated with reductions in systolic blood pressure, fasting blood glucose, total cholesterol, waist circumference and body mass index at 8 weeks, and maintained at 32 weeks. CONCLUSION: The WYHH community health promoter-facilitated walking group intervention was associated with significant reductions in multiple indicators of cardiovascular risk among predominantly Hispanic and non-Hispanic Black participants in a low-to-moderate income urban community. Such interventions can contribute to reductions in racial, ethnic, and socioeconomic inequities in cardiovascular mortality.