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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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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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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This study assesses the associations between the recent implementation of robust features of state Prescription Drug Monitoring Programs and the abrupt discontinuation of long-term opioid therapies. ⋯ Discontinuation without tapering was the norm for long-term opioid therapies in the samples throughout the study years. Findings do not support the notion that policies aimed at enhancing Prescription Drug Monitoring Program use were associated with substantial increases in abrupt long-term opioid therapy discontinuation.
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Ensuring adequate access to health care is essential for timely delivery of preventive services. It is important to evaluate the prevalence and determinants of difficulty in accessing medical care in the overall U.S. population and among those with high-risk chronic conditions. ⋯ In total, 1 in 7 adults report difficulty in accessing medical care. This prevalence is nearly 1 in 4 adults with ≥3 sociodemographic characteristics related to difficulty in accessing medical care. There are regional variations in the distribution of the difficulty in accessing medical care, especially among individuals living in states that have not undergone Medicaid expansion.