Essentials to Improve the Effectiveness of Healthy Aging Programming: Consideration of Social Determinants and Utilization of a Theoretical Model.

Older adult health, while partially determined by genetics, is mostly determined by behavioral and lifestyle choices. Researchers and interventionists develop and administer behavioral health interventions with older adults, and interventions are advertised in any number of settings, for example, by providers in healthcare settings and by activity directors in senior centers or assisted living facilities. However, previous studies and metanalyses indicate that many interventions targeting older adults are unsuccessful in recruitment or in retention. While providers and activity directors may assume older adults are unwilling to participate in behavioral change, in reality, low participation may be caused by erroneous design and administration. The objective of this manuscript is to recommend to creators and implementers of behavioral interventions for older adults that they focus on two critical considerations: the contextual perspective pertaining to healthy aging as well as an appropriately employed theoretical model that most effectively informs program design and implementation. In this commentary, we discuss how Prochaska and DiClemente's Transtheoretical Model of Health Behavior Change may lead to more desirable outcomes as it considers that a person may be at any one of six stages of change, from pre-contemplation to maintenance. Currently, many behavioral interventions are targeted at individuals who are poised for action or in maintenance phases, ignoring those in earlier phases, resulting in limited overall success. Regarding viewing healthy aging in a contextual manner, determinants external to the individual may remain unnoted and unconsidered when designing or recruiting for a behavioral intervention. In conclusion, the integration of an intrapersonal health behavior model such as the Transtheoretical Model of Health Behavior Change, coupled with clearer considerations of the interplay of contextual factors operating in the lives of older adults, may allow for more effective design and implementation, as well as resulting in higher participation in behavioral interventions targeted toward older adults.

Application of the ConNECT Framework to Precision Health and Health Disparities.

BACKGROUND: An emphasis on precision health (PH) has stimulated precision medicine studies to focus on the interplay of biological, behavioral, and environmental factors with disease risks, treatments, prognoses, and outcomes affecting health disparities. It is imperative, as well, that improving health equity among underserved populations remains central to the efforts and aims of PH. OBJECTIVES: The aim if this study was to apply the transdisciplinary ConNECT Framework: A Model for Advancing Behavioral Medicine Science and Practice to Foster Health Equity to PH by integrating a population health agenda for reducing health disparities. METHODS: There are five ConNECT principles: (a) integrating context; (b) fostering a norm of inclusion; (c) ensuring equitable diffusion of innovations; (d) harnessing communication technology; and (e) prioritizing specialized training as an organizing framework to PH, including examples of how to integrate behavioral and socioecological determinants to better understand the contexts of individuals, systems, and place to design targeted treatments and interventions. RESULTS: We describe proactive, actionable strategies for the systematic application of ConNECT Framework principles to address health equity via the PH initiative. Context and implications for nursing research and practice are also described. DISCUSSION: The ConNECT Framework emphasizes that diversity inclusion is imperative for true population health benefit from PH, broadly in public health, behavioral medicine, medicine, and nursing, to equip health researchers and practitioners to account for contextual socioecologic data that can be aligned with biologic data for more population responsive and individually tailored interventions to prevent, diagnose, and treat diseases.

Mindfulness meditation in the treatment of substance use disorders and preventing future relapse: neurocognitive mechanisms and clinical implications.

Substance use disorders (SUDs) are a pervasive public health problem with deleterious consequences for individuals, families, and society. Furthermore, SUD intervention is complicated by the continuous possibility of relapse. Despite decades of research, SUD relapse rates remain high, underscoring the need for more effective treatments. Scientific findings indicate that SUDs are driven by dysregulation of neural processes underlying reward learning and executive functioning. Emerging evidence suggests that mindfulness training can target these neurocognitive mechanisms to produce significant therapeutic effects on SUDs and prevent relapse. The purpose of this manuscript is to review the cognitive, affective, and neural mechanisms underlying the effects of mindfulness-based interventions (MBIs) on SUDs. We discuss the etiology of addiction and neurocognitive processes related to the development and maintenance of SUDs. We then explore evidence supporting use of MBIs for intervening in SUDs and preventing relapse. Finally, we provide clinical recommendations about how these therapeutic mechanisms might be applied to intervening in SUDs and preventing relapse.