ArticlePNAS nexus2025
Social determinants of health and brain connectivity predict physical activity behavior change after new cardiovascular diagnosis.
Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Physical activity is essential for preventing cognitive decline, stroke and dementia in older adults. A new cardiovascular diagnosis offers a critical window for positive lifestyle changes. However, sustaining physical activity behavior change remains challenging and the underlying mechanisms are poorly understood. To identify the neural, behavioral, and contextual determinants of long-term physical activity change after a new cardiovascular diagnosis, we applied support vector machine learning to predict 4-year trajectories of both self-reported and accelerometer-derived moderate-to-vigorous physical activity in 295 cognitively unimpaired older adults from the UK Biobank, testing three models that incorporated baseline: (i) demographic, cognitive, and contextual factors, (ii) baseline resting-state functional connectivity alone, and (iii) combined multimodal features across all predictors. The combined multimodal model had the highest predictive power (
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