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To explore how health care providers in the United States are adapting clinical recommendations and prescriptive practices in response to patient use of medical cannabis (MC) for chronic pain symptoms.Literature searches queried MeSH/Subject terms "chronic pain," "clinician," "cannabis," and Boolean text words "practice" and "analgesics" in EBSCOHost, EMBASE, PubMed, and Scopus, published 2010-2021 in the United States. Twenty-one primary, peer-reviewed studies met criteria.Studies are synthesized under major headings: recommending MC for chronic pain; MC and prescription opioids; and harm reduction of MC.MC is increasingly utilized by patients for chronic pain symptoms. Clinical recommendations for or against MC are influenced by scopes of practice, state or federal laws, institutional policies, education, potential patient harm (or indirect harm of others), and perceived confidence. Epidemiologic and cohort studies show downward trajectories of opioid prescribing and consumption in states with legal cannabis. However, clinicians' recommendations and prescription practices are nonuniform. Impacts of cannabis laws are clear between nongovernmental and governmental institutions. Strategies addressing MC and opioid use include frequent visits, and, to reduce harm, suggesting alternative therapies and treating substance use disorders.MC use for chronic pain is increasing with cannabis legalization. Provider practices are heterogenous, demonstrating a balance of treating chronic pain using available evidence, while being aware of potential harms associated with MC and opioids.

Introduction This study compared the relative efficacy of aerobic training to resistance training on physical functioning in older breast cancer survivors and determined whether benefits could be maintained by transitioning to unsupervised home-based training. Materials and methods Early-stage, post-treatment, older (≥65 years) breast cancer survivors (n = 114; mean age 72 years) were randomized to 12 months of supervised aerobic (n = 37), resistance (n = 39) or stretching (active control; n = 38) training followed by 6 months of unsupervised home-based training. Outcomes included aerobic capacity by 6-min walk distance (6MWD; m), maximal upper and lower body strength (1-repetition maximum; kg); physical function by short physical performance battery (SPPB), SF-36 and Late Life Function and Disability Instruments. Results Over 12-months of supervised exercise, all groups improved in muscle strength and SPPB scores, but resistance trained women also improved 6MWD. Improvements in upper and lower body strength in the resistance group were significantly greater than those in the stretching control (+2.5 kg vs. +1.8 kg; p = 0.05) and aerobic groups (+8.3 kg vs +2.7 kg; p = 0.047), respectively, with trends for greater improvements in 6MWD (+57.9 m vs. +22.5 m; p = 0.057) and self-report physical function (+4.8 vs. -4.4; 0.066) in resistance trained women versus controls. Compared to values at 12 months, there were no changes during unsupervised training in any measure within or between groups, except for self-reported advanced lower extremity function which improved in the resistance group and fell in the aerobic group (+1.3 vs. -3.1; p = 0.043). Discussion Supervised exercise can improve strength and physical functioning among older breast cancer survivors. Resistance training may lead to better improvements compared to aerobic or flexibility training, whether in a supervised or unsupervised setting. Clinicaltrials.gov NCT00662103

PURPOSE To compare the efficacy of tai ji quan versus strength training to prevent falls after chemotherapy in older, postmenopaual women. METHODS We conducted a three-arm, single-blind, randomized controlled trial where older (50+ years), postmenopausal women cancer survivors participated in one of three supervised group exercise programs (tai ji quan, strength training, or stretching control) twice weekly for 6 months and were followed up 6 months after training stopped. The primary outcome was the incidence of falls. Secondary outcomes included fall-related injuries, leg strength (1 repetition maximum; kg), and balance (sensory organization [equilibrium score] and limits of stability [LOS; %] tests). RESULTS Four hundred sixty-two women were enrolled (mean age, 62 ± 6.3 years). Retention was 93%, and adherence averaged 72.9%. In primary analysis, there was no difference in the incidence of falls between groups after 6 months of training, nor during 6-month follow-up. A post hoc analysis detected a significantly reduced incidence of fall-related injuries within the tai ji quan group over the first 6 months, dropping from 4.3 falls per 100 person-months (95% CI, 2.9 to 5.6) at baseline to 2.4 falls per person-months (95% CI, 1.2 to 3.5). No significant changes occurred during 6-month follow-up. Over the intervention period, leg strength significantly improved in the strength group and balance (LOS) improved in the tai ji quan group, compared with controls ( P < .05). CONCLUSION We found no significant reduction in falls for tai ji quan or strength training relative to stretching control in postmenopausal women treated with chemotherapy.

Introduction: In 2010, the American Heart Association (AHA) began using 7 indicators to measure cardiovascular health, known collectively as Life’s Simple 7. In June 2022, the AHA added an 8 th indicator: sleep duration. Although earlier studies have examined whether/how the indicators in Life’s Simple 7 might be impacted by social determinants of health (SDoH), few epidemiological studies have examined how SDoH influence the 8 th indicator in U.S. children. Purpose: We used the AHA Life Essential 8 scoring criteria to assess sleep duration among U.S. children and whether certain SDoH were associated with sleep duration. Methods: We utilized data from the 2019-2020 National Survey of Children’s Health. For all children, we calculated the score for sleep duration (range 0 [lowest] to 100 [highest]). Based on the AHA scoring algorithm and the distribution of sleep duration, participants were divided into three mutually exclusive subgroups: (1) those who met age-appropriate optimal sleep duration; (2) those who had 1- Results: Among children aged 6 to 17 years (n=49,821), the mean sleep duration score was 77.1 (95% CI 76.4 to 77.7) and 65.5% of the children had age-appropriate optimal sleep scores. Three SDoH factors were associated with higher likelihood of suboptimal sleep duration. Adjusting for covariates, for each point increase in number of ACEs the likelihood of having suboptimal sleep duration was increased (relative risk ratios [RR]:1.05 [95% CI 1.02 to 1.09]; 1.21 [95% CI 1.15 to 1.27]). The likelihood of having suboptimal sleep duration was also increased for those who reported food insufficiency at home (RR:1.19 [95% CI 1.06 to 1.33]; 1.67 [95% CI 1.40 to 1.98]) as well as for those who reported living in an unsafe neighborhood (RR: 1.34 [95% CI 1.04 to 1.71]; 1.63 [95% CI 1.19 to 2.23]). Conclusions: Our findings show that using the AHA’s Life Essential 8 scoring criteria, one third of U.S. children do not meet optimal sleep duration standards. These findings highlight the need for greater attention to social and systemic influences on children's sleep health. It is critical for healthcare providers to recognize that suboptimal sleep duration is a risk factor for poor cardiovascular health, and that certain SDoH are associated with suboptimal sleep duration.

Proper diagnosis of attention-deficit/hyperactivity disorder (ADHD) is costly, requiring in-depth evaluation via interview, multi-informant and observational assessment, and scrutiny of possible other conditions. The increasing availability of data may allow the development of machine-learning algorithms capable of accurate diagnostic predictions using low-cost measures to supplement human decision-making. We report on the performance of multiple classification methods used to predict a clinician-consensus ADHD diagnosis. Methods ranged from fairly simple (e.g., logistic regression) to more complex (e.g., random forest) but emphasized a multistage Bayesian approach. Classifiers were evaluated in two large ( N > 1,000) independent cohorts. The multistage Bayesian classifier provided an intuitive approach consistent with clinical workflows and was able to predict expert consensus ADHD diagnosis with high accuracy (> 86%)—though not significantly better than other methods. Results suggest that parent and teacher surveys are sufficient for high-confidence classifications in the vast majority of cases, but an important minority require additional evaluation for accurate diagnosis.

Patients with decompensated liver disease have been categorized by disease severity. This analysis sought to classify patients with end-stage liver disease based on symptoms rather than disease state and to identify distinct severity classes of physical and psychological symptoms.Patients with a model for end-stage liver disease-sodium score of 15 or higher were recruited from liver clinics in 2 health care organizations. They completed the Condensed Memorial Symptom Assessment Scale, Revised Ways of Coping Checklist, Patient Health Questionnaire, Life Orientation Test-Revised, and the Short-Form Health Survey. Cross-sectional data were analyzed using latent class mixture modeling.The sample (N = 191; age, 56.6 ± 11.1 y; 33.5% ETOH; 28.3% nonalcoholic fatty liver disease; 13.1% autoimmune/primary biliary cholangitis/primary sclerosing cholangitis) was predominantly male (64.2%), Child-Turcotte-Pugh class C (49.5%), with an average model for end-stage liver disease-sodium score of 18.7 ± 4.9. Three distinct classes of symptoms were identified, as follows: mild (26.7%), moderate (41.4%), or severe (31.9%) symptoms. Symptom classes were independent of disease severity and demographic characteristics, except age. All Condensed Memorial Symptom Assessment Scale symptoms and Patient Health Questionnaire scores were significantly different across the 3 classes (Plt; .05). The symptom classes also differed significantly in physical and mental quality of life, optimism, and avoidance coping behaviors (all Plt; .001).Patient-reported symptom severity occurred independent of disease severity, contrary to common assumptions. Focusing on the moderate and severe symptom classes as well as patient history of end-stage liver disease complications may enhance providers' ability to improve symptom management for this population.