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Abstract Background: Family caregivers of stroke survivors frequently experience psychological distress. Social support and active coping may be protective, but their associations can vary across levels of caregiving load. Interpretable machine learning may help characterize such nonlinear patterns without assuming a constant linear association. Methods: This multicenter cross-sectional study included 506 family caregivers.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.