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Background: Rural cancer survivors face a greater number of health disparities, including poorer health-related quality of life (HRQoL), than urban cancer survivors. Engagement in healthy lifestyle behaviors also varies between rural and urban cancer survivors. Lifestyle behaviors can improve HRQoL; however, the combination of behaviors most important for HRQoL in rural survivors is unclear. This study examined clusters of lifestyle behaviors in rural cancer survivors, and differences in HRQoL between behavioral clusters., Methods: Rural cancer survivors in the United States (N = 219) completed a cross-sectional survey. Lifestyle behaviors were classified into unhealthy/healthy binary categories (inactive/active, longer/shorter sedentary time, excessive/acceptable fat intake, very low/higher fruit and vegetable intake, some/no alcohol consumption, and poor/good sleep quality). Behavioral clusters were identified by latent class analysis. HRQoL differences between behavioral clusters were assessed by ordinary least squares regression., Results: The 2-class model demonstrated the best fit and interpretability. The "mostly unhealthy behaviors" class (38.5% of sample) had higher probabilities of all unhealthy behaviors, except alcohol consumption. The "healthier energy balance" class (61.5% of sample) had higher probabilities of active, shorter sedentary, higher fruit and vegetable consumption, excessive fat intake, some alcohol consumption, and poor sleep categories, and reported better HRQoL., Conclusions: Healthier energy balance behaviors were particularly relevant for HRQoL in rural cancer survivors. Multiple behavior change interventions to improve HRQoL in rural cancer survivors should focus on supporting energy balance behaviors. Many rural cancer survivors may lead very unhealthy lifestyles, placing them at high risk of adverse outcomes. This subpopulation should be prioritized to help alleviate cancer health disparities.

Description: In May 2022, leadership within the U.S. Department of Veterans Affairs (VA) and U.S. Department of Defense (DoD) approved a joint clinical practice guideline for the use of opioids when managing chronic pain. This synopsis summarizes the recommendations that the authors believe are the most important to highlight., Methods: In December 2020, the VA/DoD Evidence-Based Practice Work Group assembled a team to update the 2017 VA/DoD Clinical Practice Guideline for Opioid Therapy for Chronic Pain. The guideline development team included clinical stakeholders and conformed to the National Academy of Medicine's tenets for trustworthy clinical practice guidelines. The guideline team developed key questions to guide a systematic evidence review that was done by an independent third party and distilled 20 recommendations for care using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) system. The guideline team also created 3 one-page algorithms to help guide clinical decision making. This synopsis presents the recommendations and highlights selected recommendations on the basis of clinical relevance., Recommendations: This guideline is intended for clinicians who may be considering opioid therapy to manage patients with chronic pain. This synopsis reviews updated recommendations for the initiation and continuation of opioid therapy; dose, duration, and taper of opioids; screening, assessment, and evaluation; and risk mitigation. New additions are highlighted, including recommendations about the use of buprenorphine instead of full agonist opioids; assessing for behavioral health conditions and factors associated with higher risk for harm, such as pain catastrophizing; and the use of pain and opioid education to reduce the risk for prolonged opioid use for postsurgical pain.

The MESA (Multi-Ethnic Study of Atherosclerosis) was initiated to address unresolved questions about subclinical cardiovascular disease and its progression to clinically overt cardiovascular disease in a diverse population-based sample, incorporating emerging imaging technologies for better evaluation of subclinical disease and creating a population laboratory for future research. MESA's recruited (from 2000 to 2002) cohort comprised >6,000 adults from 4 racial/ethnic groups, ages 45 to 84 years, who were free of cardiovascular disease at baseline. Extensive cohort data have been collected over 5 exams (through 2011) with additional exam components added through extramurally funded ancillary study grants, and through regular phone follow-up contacts. Over 1,000 MESA papers have been published to date. Exam 6 will incorporate components that use novel wearable, imaging, and other technologies to address new research questions. MESA investigators have and continue to seek opportunities for collaboration with other researchers on a wide variety of topics to further expand the science of MESA., (Copyright © 2016 World Heart Federation (Geneva). All rights reserved.)

Context: There is high demand for local-level population health data. A national system of state and local data collection would help improve both population health and health care delivery. The primary source of state-level population health data for adults is the Behavioral Risk Factor Surveillance System. However, many states need data on children and adolescents, racial and ethnic subpopulations, consistent estimates for localities, or more in-depth information on key topics than the Behavioral Risk Factor Surveillance System provides. Eleven state health surveys (SHSs) have emerged in an effort to address these gaps., Design: Semistructured telephone interviews were conducted in 2009 with representatives of 9 SHSs. The interviews were recorded, and data were transcribed, organized, and analyzed according to the query structure. This analysis identified (1) the core elements of SHS that have been successful in meeting needs for local data and (2) the processes and strategies used by state officials in creating these surveys., Results: Key findings include the following: (1) SHSs provide concrete data on local health issues that meet the needs of policy makers who wish to adopt evidence-based public health policies; (2) data from SHSs allow researchers to identify issues, apply for grants, and evaluate, assess, and track health indicators; (3) a "champion" is required to build the case for a survey and push through barriers to obtain funding and stakeholder buy-in; and (4) SHSs face challenges such as inconsistent funding and lack of uniform standards., Conclusion: Opportunities to support SHSs include (1) identifying sustained funding sources; (2) providing technical assistance and facilitating training to foster best practices, quality standards, and comparability across states; and (3) supporting an organization for SHS researchers to share resources, information, and experiences.

Objectives: To identify and compare key features of independent comprehensive state health surveys (SHS) with those of the Behavioral Risk Factor Surveillance System (BRFSS) for addressing the need for statewide and local population health data., Methods: We developed inclusion criteria, systematically collected information about federal and SHS that met these criteria, and obtained supplemental information from SHS leaders., Results: We identified comprehensive independent SHS in 11 states and BRFSS surveys in all 50 states. The independent SHS meet important statewide and local data needs, filling 3 key health data gaps in the BRFSS: lack of adequate data on special populations such as children, lack of data on specific localities, and limited depth and scope of health topics surveyed on key issues such as health insurance coverage. Unlike BRFSS, independent SHS have limited comparability with each other., Conclusions: The BRFSS and independent SHS each meet some key state and local data needs but result in data gaps and inefficient use of resources. Surveys could more effectively and efficiently meet future needs for comparable data to monitor health care reform and address health disparities if they were coordinated across states and at the national, state, and local levels.

Background: The development of congestive heart failure (CHF) in older persons is related to a variety of mechanisms. Hormone replacement therapy (HRT) affects several of the pathways that may be important in the development of CHF. We hypothesized that HRT would be associated with a decreased risk of incident CHF., Methods: Using Cox proportional-hazards regression, we assessed the risk of incident CHF (n = 304) associated with time-dependent past and current use of HRT compared to never use. The Cardiovascular Health Study is a prospective cohort study of community-dwelling adults aged 65 years and older. This analysis included female participants without a history of CHF at baseline (n = 3223)., Results: At baseline, 62% were never users, 26% were past users, and 12% were current users of HRT. Compared with never users, the multivariable relative risk (RR) of CHF was 1.01 (95% confidence interval [95% CI] 0.76,1.34) for past users and 1.34 (0.93,1.94) for current users. Results were similar among most treatment and clinical subgroups, except that the association of current HRT with CHF appeared to depend on body mass index (BMI) or osteoporosis status. The RR was 0.82 (0.43,1.60) for normal weight women, 1.65 (0.95,2.88) for overweight women, and 2.22 (1.06,4.67) for obese women (p = 0.01 for interaction). Similarly, the RR was 0.15 (0.04,0.65) for women with osteoporosis and 1.82 (1.25,2.65) for women without osteoporosis (p = 0.001 for interaction)., Conclusions: Overall, HRT was not associated with the risk of incident CHF, although BMI and osteoporosis appeared to modify the association of HRT with CHF. The risk of CHF was lower in patients with lower BMI or osteoporosis.