Social and spatial contexts affect health, and understanding nuances of context is key to informing successful interventions for health equity. Layering mixed methods and mixed scale data sources to visualize patterns of health outcomes facilitates analysis of both broad trends and person-level experiences across time and space. We used micro-scale citizen scientist-collected data from four Bay Area communities along with aggregate epidemiologic and population-level data sets to illustrate barriers to, and facilitators of, physical activity in low-income aging adults.
View Article and Find Full Text PDFMultilevel interventions are increasingly recommended to increase physical activity (PA) but can present evaluation challenges. Participatory qualitative evaluation methods can complement standard quantitative methods by identifying participant-centered outcomes and potential mechanisms of individual and community-level change. We assessed the feasibility and utility of Ripple Effects Mapping (REM), a novel qualitative method, within the context of a multi-level cluster randomized trial, Steps for Change.
View Article and Find Full Text PDFWhile low-income midlife and older adults are disproportionately affected by non-communicable diseases that can be alleviated by regular physical activity, few physical activity programs have been developed specifically with their needs in mind. Those programs that are available typically do not address the recognized local environmental factors that can impact physical activity. The specific aim of the Steps for Change cluster-randomized controlled trial is to compare systematically the initial (one-year) and sustained (two-year) multi-level impacts of an evidence-based person-level physical activity intervention (Active Living Every Day [ALED] and age-relevant health education information), versus the ALED program in combination with a novel neighborhood-level citizen science intervention called Our Voice.
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