Community-Based Social Connection Intervention Program to Improve Cardiovascular and Brain Health

This study evaluates the effectiveness of a community-based social connection intervention program (SCIP) designed to reduce social isolation and loneliness and improve cardiovascular and brain health among older adults living in rural Ecuador. Loneliness and social isolation are recognized risk factors for poor cardiovascular outcomes, cognitive decline, depression, and reduced quality of life. However, evidence from low- and middle-income countries, particularly in rural Latin American settings, remains limited. This protocol describes a quasi-experimental, longitudinal study conducted in three rural villages that have been part of a long-standing population-based cohort. The intervention will be implemented in one community and compared with two similar communities that will continue receiving usual community activities. SCIP consists of three components: (1) monthly community activities and educational talks designed to promote social participation; (2) monthly peer-support group sessions facilitated by trained personnel; and (3) individualized home-based coaching delivered twice per month, incorporating principles of Social Cognitive Theory and Cognitive Behavioral Therapy. The program aims to strengthen social networks, enhance coping skills, and promote healthier behaviors. Participants aged 60 years and older will be enrolled and followed for 12 months. Assessments will occur at baseline, 6 months, and 12 months. Primary outcomes include changes in social isolation (Lubben Social Network Scale-6) and loneliness (De Jong Gierveld Scale). Secondary outcomes include cardiovascular health (Life's Essential 8), sleep quality (Pittsburgh Sleep Quality Index), cognitive performance (Montreal Cognitive Assessment), depressive symptoms (DASS-21), and quality of life (SF-36). Exploratory outcomes include incident stroke, cardiovascular events, and mortality, monitored through ongoing community surveillance. This study will generate evidence on the feasibility and i