Electronically delivered health promotion programs that are aimed primarily at educated, health-literate individuals have proliferated, raising concerns that such trends could exacerbate health disparities in the United States and elsewhere. The efficacy of a culturally and linguistically adapted virtual advisor that provides tailored physical activity advice and support was tested in low-income older adults. Forty inactive adults (92.5% Latino) 55 years of age and older were randomized to a 4-month virtual advisor walking intervention or a waitlist control. Four-month increases in reported minutes of walking/week were greater in the virtual advisor arm (mean increase = 253.5 ± 248.7 minutes/week) relative to the control (mean increase = 26.8 ± 67.0 minutes/week; p = .0008). Walking increases in the virtual advisor arm were substantiated via objectively measured daily steps (slope analysis p = .002). All but one intervention participant continued some interaction with the virtual advisor in the 20-week poststudy period (mean number of poststudy sessions = 14.0 ± 20.5). The results indicate that a virtual advisor delivering culturally and linguistically adapted physical activity advice led to meaningful 4-month increases in walking relative to control among underserved older adults. This interactive technology, which requires minimal language and computer literacy, may help reduce health disparities by ensuring that all groups benefit from e-health opportunities.

IMPORTANCEEffective and practical treatments are needed to increase physical activity among those at heightened risk from inactivity. Walking represents a popular physical activity that can produce a range of desirable health effects, particularly as people age.OBJECTIVE To test the hypothesis that counseling by a computer-based virtual advisor is no worse than (ie, noninferior to) counseling by trained human advisors for increasing 12-month walking levels among inactive adults.

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Multilevel 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. Housing sites with ethnically diverse, low-income aging adults were randomized to a PA behavioral intervention alone or in combination with a citizen science-based intervention (Our Voice) for promoting PA-supportive neighborhoods. Four REM sessions were conducted after 12 months of intervention and involved six housing sites (n = 35 participants) stratified by intervention arm. Interviews (n = 5) were also conducted with housing site staff. Sessions leaders engaged participants in visually mapping intended and unintended outcomes of intervention participation and participant-driven solutions to reported challenges. Maps were analyzed using Excel and Xmind 8 Pro and data were classified according to the socio-ecological model. Eight themes were identified for outcomes, challenges, and solutions. Most themes (6/8) were similar across intervention arms, including increasing PA and PA tracking, improving health outcomes, and increasing social connectedness. Groups (n = 2) engaged in Our Voice additionally identified increased community knowledge and activities directly impacting local environmental change (e.g., pedestrian infrastructure changes). Housing staff interviews revealed additional information to enhance future intervention recruitment, sustainability, and implementation. Such qualitative methodologies can aid in evaluating multi-level, multi-component interventions and inform future intervention optimization, implementation, and dissemination.