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More than 500 million people worldwide live with cardiovascular disease (CVD). Health systems today face fundamental challenges in delivering optimal care due to ageing populations, healthcare workforce constraints, financing, availability and affordability of CVD medicine, and service delivery. Digital health technologies can help address these challenges. They may be a tool to reach Sustainable Development Goal 3.4 and reduce premature mortality from non-communicable diseases (NCDs) by a third by 2030. Yet, a range of fundamental barriers prevents implementation and access to such technologies. Health system governance, health provider, patient and technological factors can prevent or distort their implementation. World Heart Federation (WHF) roadmaps aim to identify essential roadblocks on the pathway to effective prevention, detection, and treatment of CVD. Further, they aim to provide actionable solutions and implementation frameworks for local adaptation. This WHF Roadmap for digital health in cardiology identifies barriers to implementing digital health technologies for CVD and provides recommendations for overcoming them.

Reducing cardiovascular disease disparities will require a concerted, focused effort to better adopt evidence-based interventions, in particular, those that address social determinants of health, in historically marginalized populations (ie, communities excluded on the basis of social identifiers like race, ethnicity, and social class and subject to inequitable distribution of social, economic, physical, and psychological resources). Implementation science is centered around stakeholder engagement and, by virtue of its reliance on theoretical frameworks, is custom built for addressing research-to-practice gaps. However, little guidance exists for how best to leverage implementation science to promote cardiovascular health equity. This American Heart Association scientific statement was commissioned to define implementation science with a cardiovascular health equity lens and to evaluate implementation research that targets cardiovascular inequities. We provide a 4-step roadmap and checklist with critical equity considerations for selecting/adapting evidence-based practices, assessing barriers and facilitators to implementation, selecting/using/adapting implementation strategies, and evaluating implementation success. Informed by our roadmap, we examine several organizational, community, policy, and multisetting interventions and implementation strategies developed to reduce cardiovascular disparities. We highlight gaps in implementation science research to date aimed at achieving cardiovascular health equity, including lack of stakeholder engagement, rigorous mixed methods, and equity-informed theoretical frameworks. We provide several key suggestions, including the need for improved conceptualization and inclusion of social and structural determinants of health in implementation science, and the use of adaptive, hybrid effectiveness designs. In addition, we call for more rigorous examination of multilevel interventions and implementation strategies with the greatest potential for reducing both primary and secondary cardiovascular disparities.

BackgroundThe prevalence of obesity continues to increase in spite of substantial efforts towards its prevention, posing a major threat to health globally. Circadian disruption has been associated with a wide range of preclinical and clinical disorders, including obesity. However, whether rest-activity rhythm (RAR), an expression of the endogenous circadian rhythm, is associated with excess adiposity is poorly understood. Here we aimed to assess the association of RAR with general and abdominal obesity.MethodsNon-institutionalized adults aged ≥20 years participating in the US National Health and Nutrition Examination Survey (NHANES) 2011-2014 who wore accelerometers for at least four 24-hour periods were included (N=7,838). Amplitude, mesor, acrophase and pseudo-F statistic of RAR were estimated using extended cosinor model, and interdaily stability (IS) and intradaily variability (IV) were computed by nonparametric methods. We tested the association between rest-activity rhythm and general obesity defined by body mass index and abdominal obesity by waist circumference. Waist-to-height ratio, sagittal abdominal diameter, and total and trunk fat percentages measured by imaging methods were also analyzed.ResultsIn multivariable analysis, low amplitude (magnitude of the rhythm), mesor (rhythm-corrected average activity level), pseudo-F statistic (robustness of the rhythm), IS (day-to-day rhythm stability), or high IV (rhythm fragmentation) were independently associated with higher likelihood of general or abdominal obesity (all Ps<.05). Consistently, RAR metrics were similarly associated with all adiposity measures (all Ps<.01). Delayed phase of RAR (later acrophase) was only significantly related to general and abdominal obesity in women.ConclusionsAberrant RAR is independently associated with anthropometric and imaging measures of general and abdominal obesity. Longitudinal studies assessing whether RAR metrics can predict weight gain and incident obesity are warranted.