Young Adults' Knowledge of State Cannabis Policy: Implications for Studying the Effects of Legalization in Vermont.

Objectives: Cannabis policy evaluations commonly assume equal policy exposure across a state's population using date of implementation as the key independent variable. This study aimed to explore policy knowledge as another measure of exposure and describe the sociodemographic, cognitive, and behavioral correlates of cannabis policy knowledge in young adults in Vermont. Methods: Data are from the PACE Vermont Study (Spring 2019), an online cohort study of Vermonters (12-25). Bivariate and multivariable analyses estimated prevalence ratios (PR) for correlations between knowledge of Vermont's cannabis policy (allowed possession for adults 21 and older) and sociodemographics, cannabis use, and harm perceptions in 1,037 young adults (18-25). Results: Overall, 60.1% of participants correctly described the state's cannabis policy. Being younger, Hispanic, non-White race, and less educated were inversely correlated with policy knowledge. Ever (PR=1.37; 95% CI 1.16-1.63) and past-30-day cannabis use (PR=1.27; 95% CI 1.12-1.45) were positively correlated with policy knowledge. Policy knowledge was more prevalent among young adults who perceived slight risk of harm from weekly cannabis use (vs. no risk; aPR=1.28; 95% CI 1.11-1.48) or agreed that regular cannabis use early in life can negatively affect attention (vs. disagree; aPR=1.55; 95% CI 1.22-1.97). Conclusion: Findings suggest that 40% of Vermont young adults in the study were unaware of current state cannabis policy and that policy knowledge was lower in younger, less educated, Hispanic, and non-White young adults. Future research should explore using a measure of policy knowledge as an exposure or moderator variable to better quantify the effects of changes in cannabis legal status on perceptions and use in young people.

The Association of Patient Educational Attainment With Cardiac Rehabilitation Adherence and Health Outcomes.

PURPOSE: Participating in cardiac rehabilitation (CR) after a cardiac event provides many clinical benefits. Patients of lower socioeconomic status (SES) are less likely to attend CR. It is unclear whether they attain similar clinical benefits as patients with higher SES. This study examines how educational attainment (one measure of SES) predicts both adherence to and improvements during CR. METHODS: This was a prospective observational study of 1407 patients enrolled between January 2016 and December 2019 in a CR program located in Burlington, VT. Years of education, smoking status (self-reported and objectively measured), depression symptom level (Patient Health Questionnaire), self-reported physical function (Medical Outcomes Survey), level of fitness (peak metabolic equivalent, peak oxygen uptake, and handgrip strength), and body composition (body mass index and waist circumference) were obtained at entry to, and for a subset (n = 917), at exit from CR. Associations of educational attainment with baseline characteristics were examined using Kruskal-Wallis or Pearson's χ 2 tests as appropriate. Associations of educational attainment with improvements during CR were examined using analysis of covariance or logistic regression as appropriate. RESULTS: Educational attainment was significantly associated with most patient characteristics examined at intake and was a significant predictor of the number of CR sessions completed. Lower educational attainment was associated with less improvement in cardiorespiratory fitness, even when controlling for other variables. CONCLUSIONS: Patients with lower SES attend fewer sessions of CR than their higher SES counterparts and may not attain the same level of benefit from attending. Programs need to increase attendance within this population and consider program modifications that further support behavioral changes during CR.

Current smoking as a marker of a high-risk behavioral profile after myocardial infarction.

Continued smoking following myocardial infarction (MI) is strongly associated with increased morbidity and mortality. Patients who continue to smoke may also engage in other behaviors that exacerbate risk. This study sought to characterize the risk profile of a national sample of individuals with previous MI who currently smoke. Data were taken from the 2017 Behavioral Risk Factor Surveillance Survey (United States), with 4.2% of the sample reporting a past MI (N = 26,004). Participants were classified by smoking status (current/former/never) and compared on medical comorbidities and the clustering of modifiable behaviors relevant for secondary prevention (smoking, poor nutrition, problematic alcohol use, physical inactivity, medication adherence). Current smokers were more likely to report other comorbidities including stroke, chronic obstructive pulmonary disease, physical limitations, and poor mental health. Smokers were also less likely to report taking blood pressure and cholesterol medications, and less likely to attend cardiac rehabilitation (examined in a subset of the sample, N = 2181). Current smoking remained an independent predictor of other health-related behaviors even when controlling for age, sex, race, educational attainment, and other comorbidities. In the modifiable risk-factor behavior cluster analysis, the most common pattern among current smokers was having two risk factors, smoking plus one additional risk factor, whereas the most common pattern was zero risk factors among never or former-smokers. Physical inactivity was the most common additional risk factor across smoking statuses. Current smoking is associated with multiple comorbidities and should be considered a marker for a high-risk behavioral profile among patients with a history of MI.

Recruiting and Retaining Youth and Young Adults in the Policy and Communication Evaluation (PACE) Vermont Study: Randomized Controlled Trial of Participant Compensation.

BACKGROUND: The standard approach for evaluating the effects of population-level substance use prevention efforts on youth and young adult perceptions and behaviors has been to compare outcomes across states using national surveillance data. Novel surveillance methods that follow individuals over shorter time intervals and capture awareness of substance use prevention policy and communication efforts may provide a stronger basis for their evaluation than annual cross-sectional studies. OBJECTIVE: This study aimed to identify a combination of strategies to recruit a sample of youth and young adults sufficiently representative of the Vermont population and determine how best to retain a web-based panel of youth and young adults over a 6-month period. METHODS: Eligible participants were Vermont residents aged 12 to 25 years who were willing to complete three 10 to 15-minute web-based surveys over a 6-month period. Recruitment was conducted via the following three main mechanisms: (1) web-based recruitment (paid and unpaid), (2) community-based recruitment through partners, and (3) participant referrals via a personalized link. Upon completion of the baseline survey, participants were randomly assigned to one of the following three retention incentive conditions: (1) guaranteed incentive (US $10), (2) lottery incentive (US $50 weekly lottery drawing), and (3) preferred method (guaranteed or lottery). Analyses examined cost per survey start by recruitment source, distribution of demographic characteristics across incentive conditions, and retention by study condition at 3-month and 6-month follow-ups. RESULTS: Over a 10-week period in 2019, we recruited 480 eligible youth (aged 12-17 years) and 1037 eligible young adults (aged 18-25 years) to the Policy and Communication Evaluation (PACE) Vermont Study. Facebook and Instagram advertising produced the greatest number of survey starts (n=2013), followed by posts to a state-wide web-based neighborhood forum (n=822) and Google advertisements (n=749). Retention was 78.11% (1185/1517) at 3 months and 72.18% (1095/1517) at 6 months. Retention was equivalent across all incentive study conditions at both waves, despite a strong stated preference among study participants for the guaranteed payment at baseline. Youth had greater retention than young adults at both waves (wave 2: 395/480, 82.3% vs 790/1037, 76.18%; wave 3: 366/480, 76.3% vs 729/1037, 70.30%). Substance use prevalence in this cohort was similar to national and state-level surveillance estimates for young adults, but was lower than state-level surveillance estimates for youth. Most participants retained at wave 3 provided positive qualitative feedback on their experience. CONCLUSIONS: Our study supports the feasibility of recruiting a web-based cohort of youth and young adults with representation across an entire state to evaluate substance use prevention efforts. Findings suggest that a guaranteed payment immediately upon survey completion coupled with a bonus for completing all survey waves and weekly survey reminders may facilitate retention in a cohort of youth and young adults.

Financial Incentives to Increase Cardiac Rehabilitation Participation Among Low-Socioeconomic Status Patients: A Randomized Clinical Trial.

OBJECTIVES: This study sought to examine the efficacy of financial incentives to increase Medicaid patient participation in and completion of cardiac rehabilitation (CR). BACKGROUND: Participation in CR reduces morbidity, mortality, and hospitalizations while improving quality of life. Lower-socioeconomic status (SES) patients are much less likely to attend and complete CR, despite being at increased risk for recurrent cardiovascular events. METHODS: A total of 130 individuals enrolled in Medicaid with a CR-qualifying cardiac event were randomized 1:1 to receive financial incentives on an escalating schedule ($4 to $50) for completing CR sessions or to receive usual care. Primary outcomes were CR participation (number of sessions completed) and completion (≥30 sessions completed). Secondary outcomes included changes in sociocognitive measurements (depressive/anxious symptoms, executive function), body composition (waist circumference, body mass index), fitness (peak VO2) over 4 months, and combined number of hospitalizations and emergency department (ED) contacts over 1 year. RESULTS: Patients randomized to the incentive condition completed more sessions (22.4 vs. 14.7, respectively; p = 0.013) and were almost twice as likely to complete CR (55.4% vs. 29.2%, respectively; p = 0.002) as controls. Incentivized patients were also more likely to experience improvements in executive function (p < 0.001), although there were no significant effects on other secondary outcomes. Patients who completed ≥30 sessions had 47% fewer combined hospitalizations and ED visits (p = 0.014), as reflected by a nonsignificant trend by study condition with 39% fewer hospital contacts in the incentive condition group (p = 0.079). CONCLUSIONS: Financial incentives improve CR participation among lower-SES patients following a cardiac event. Increasing participation among lower-SES patients in CR is critical for positive longer-term health outcomes. (Increasing Cardiac Rehabilitation Participation Among Medicaid Enrollees; NCT02172820).

Clinical and Demographic Trends in Cardiac Rehabilitation: 1996-2015.

PURPOSE: Clinical interventions in programs such as cardiac rehabilitation (CR) are guided by clinical characteristics of participating patients. This study describes changes in CR participant characteristics over 20 yr. METHODS: To examine changes in patient characteristics over time, we analyzed data from 1996 to 2015 (n = 5396) garnered from a systematically and prospectively gathered database. Linear, logistic, multinomial logistic or negative binomial regression was used, as appropriate. Effects of sex and index diagnosis were considered both as interactions and as additive effects. RESULTS: Analyses revealed that mean age increased (from 60.7 to 64.2 yr), enrollment of women increased (from 26.8% to 29.6%), and index diagnosis has shifted; coronary artery bypass surgery decreased (from 37.2% to 21.6%), whereas heart valve repair/replacement increased (from 0% to 10.6%). Risk factors also shifted with increases in body mass index (28.7 vs 29.6 kg/m), obesity (from 33.2% to 39.6%), hypertension (from 51% to 62.5%), type 2 diabetes mellitus (from 17.3% to 21.7%), and those reporting current smoking (from 6.6% to 8.4%). Directly measured peak aerobic capacity remained relatively stable throughout. The proportion of patients on statin therapy increased from 63.6% to 98.9%, coinciding with significant improvements in lipid levels. CONCLUSIONS: Compared with 1996, participants entering CR in 2015 were older, more overweight, and had a higher prevalence of coronary risk factors. Lipid values improved substantially concurrent with increased statin use. While the percentage of female participants increased, they continue to be underrepresented. Patients with heart valve repair/replacement now constitute 10.6% of the patients enrolled. Clinical programs need to recognize changing characteristics of attendees to best tailor interventions.

Understanding individual differences in vulnerability to cigarette smoking is enhanced by attention to the intersection of common risk factors.

While smoking prevalence in the U.S. and other industrialized countries has decreased substantially, this change has been unevenly distributed, with dramatic decreases in certain subpopulations but little change or even increases in others. Accordingly, considerable attention has been fruitfully devoted to identifying important risk factors for smoking (e.g., mental illness, other substance use disorders). However, there has been little research on the intersection of these risk factors. As risk factors rarely occur in isolation, it is important to examine risk-factor profiles as is commonly done in studying other chronic conditions (e.g., cardiovascular disease). The purpose of this Commentary is to encourage greater interest in the intersection of multiple risk factors using cigarette smoking as an exemplar. We focus on the intersection of eight well-established risk factors for smoking (age, gender, race/ethnicity, educational attainment, poverty, drug abuse/dependence, alcohol abuse/dependence, mental illness). Studying the intersection of risk factors is likely to require use of innovative data-analytic methods. We illustrate, using years 2011-2016 of the US National Household Survey on Drug Use and Health, how Classification and Regression Tree (CART) analysis can be an effective tool for identifying risk profiles for smoking. Examination of the intersection of these risk factors elucidates a series of risk profiles with associated, orderly gradations in vulnerability to current smoking, including the striking and reliable strength of a college education as a stand-alone profile predicting low risk for current smoking, and illustrating the potentially increasing importance of drug abuse/dependence as a risk factor.

Patient Characteristics Predictive of Cardiac Rehabilitation Adherence.

PURPOSE: Cardiac rehabilitation (CR) is a program of structured exercise and interventions for coronary risk factor reduction that reduces morbidity and mortality rates following a major cardiac event. Although a dose-response relationship between the number of CR sessions completed and health outcomes has been demonstrated, adherence with CR is not high. In this study, we examined associations between the number of sessions completed within CR and patient demographics, clinical characteristics, smoking status, and socioeconomic status (SES). METHODS: Multiple logistic regression and classification and regression tree (CART) modeling were used to examine associations between participant characteristics measured at CR intake and the number of sessions completed in a prospectively collected CR clinical database (n = 1658). RESULTS: Current smoking, lower SES, nonsurgical diagnosis, exercise-limiting comorbidities, and lower age independently predicted fewer sessions completed. The CART analysis illustrates how combinations of these characteristics (ie, risk profiles) predict the number of sessions completed. Those with the highest-risk profile for nonadherence (<65 years old, current smoker, lower SES) completed on average 9 sessions while those with the lowest-risk profile (>72 years old, not current smoker, higher SES, surgical diagnosis) completed 27 sessions on average. CONCLUSIONS: Younger individuals, as well as those who report smoking or economic challenges or have a nonsurgical diagnosis, may require additional support to maintain CR session attendance.