American journal of preventive medicine
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This study provides the most recent estimates for fast-food consumption in the U.S., overall and by race/ethnicity and age. ⋯ Fast-food consumption among adults in the U.S. is high, particularly among young non-Hispanic Black adults.
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Cardiovascular disease is the leading cause of death worldwide, and cardiovascular disease burden is increasing in low-resource settings and for lower socioeconomic groups. Machine learning algorithms are being developed rapidly and incorporated into clinical practice for cardiovascular disease prediction and treatment decisions. Significant opportunities for reducing death and disability from cardiovascular disease worldwide lie with accounting for the social determinants of cardiovascular outcomes. This study reviews how social determinants of health are being included in machine learning algorithms to inform best practices for the development of algorithms that account for social determinants. ⋯ Given their flexibility, machine learning approaches may provide an opportunity to incorporate the complex nature of social determinants of health. The limited variety of sources and data in the reviewed studies emphasize that there is an opportunity to include more social determinants of health variables, especially environmental ones, that are known to impact cardiovascular disease risk and that recording such data in electronic databases will enable their use.
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Numerous environmental factors within supermarkets can influence the healthfulness of food purchases. This research aims to identify the changes in store healthfulness scores and assess the variations by store type and neighborhood deprivation using an adapted Consumer Nutrition Environment tool. ⋯ The adapted Consumer Nutrition Environment tool is sensitive to longitudinal changes in environmental variables that contribute to store healthfulness. A wider application of this tool could be used to map in-store environments to identify targets for interventions to encourage healthier food purchasing.
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Proactive, electronic referral of primary care patients to quitlines has great potential to provide evidence-based tobacco-cessation assistance to tobacco users. However, the quitline contact rates and engagement of individuals beyond 1 counseling call are poor. This study examines the characteristics of electronically referred patients who engage with the quitline. ⋯ The current quitline phone-based approach is less likely to engage younger adults and those with Medicaid coverage; however, there is a need to improve quitline engagement across all patients. Identification and testing of alternative engagement approaches are needed.
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Peer providers with lived experiences of mental health and substance use are a growing component of the workforce responsible for the prevention and treatment of behavioral health disorders. This systematic literature review aims to better define the roles of peers and their unique contributions to behavioral health care. ⋯ Peers are effective providers of behavioral health treatment and relapse prevention services who encourage recovery through resilience building, empowerment, and self-advocacy. There remains a need for more evidence-based interventions on the efficacy of peers in substance use disorder treatment and the impact of formalized certification and training opportunities.