Faculty Bibliography

IMPORTANCE/UNASSIGNED:Psychosis is a hypothesized consequence of cannabis use. Legalization of cannabis could therefore be associated with an increase in rates of health care utilization for psychosis. OBJECTIVE/UNASSIGNED:To evaluate the association of state medical and recreational cannabis laws and commercialization with rates of psychosis-related health care utilization. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:Retrospective cohort design using state-level panel fixed effects to model within-state changes in monthly rates of psychosis-related health care claims as a function of state cannabis policy level, adjusting for time-varying state-level characteristics and state, year, and month fixed effects. Commercial and Medicare Advantage claims data for beneficiaries aged 16 years and older in all 50 US states and the District of Columbia, 2003 to 2017 were used. Data were analyzed from April 2021 to October 2022. EXPOSURE/UNASSIGNED:State cannabis legalization policies were measured for each state and month based on law type (medical or recreational) and degree of commercialization (presence or absence of retail outlets). MAIN OUTCOMES AND MEASURES/UNASSIGNED:Outcomes were rates of psychosis-related diagnoses and prescribed antipsychotics. RESULTS/UNASSIGNED:This study included 63 680 589 beneficiaries followed for 2 015 189 706 person-months. Women accounted for 51.8% of follow-up time with the majority of person-months recorded for those aged 65 years and older (77.3%) and among White beneficiaries (64.6%). Results from fully-adjusted models showed that, compared with no legalization policy, states with legalization policies experienced no statistically significant increase in rates of psychosis-related diagnoses (medical, no retail outlets: rate ratio [RR], 1.13; 95% CI, 0.97-1.36; medical, retail outlets: RR, 1.24; 95% CI, 0.96-1.61; recreational, no retail outlets: RR, 1.38; 95% CI, 0.93-2.04; recreational, retail outlets: RR, 1.39; 95% CI, 0.98-1.97) or prescribed antipsychotics (medical, no retail outlets RR, 1.00; 95% CI, 0.88-1.13; medical, retail outlets: RR, 1.01; 95% CI, 0.87-1.19; recreational, no retail outlets: RR, 1.13; 95% CI, 0.84-1.51; recreational, retail outlets: RR, 1.14; 95% CI, 0.89-1.45). In exploratory secondary analyses, rates of psychosis-related diagnoses increased significantly among men, people aged 55 to 64 years, and Asian beneficiaries in states with recreational policies compared with no policy. CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this retrospective cohort study of commercial and Medicare Advantage claims data, state medical and recreational cannabis policies were not associated with a statistically significant increase in rates of psychosis-related health outcomes. As states continue to introduce new cannabis policies, continued evaluation of psychosis as a potential consequence of state cannabis legalization may be informative.

BACKGROUND:Patterns of cognitive impairment in former American football players are uncertain because objective neuropsychological data are lacking. This study characterized the neuropsychological test performance of former college and professional football players. METHODS:One hundred seventy male former football players (n=111 professional, n=59 college; 45-74 years) completed a neuropsychological test battery. Raw scores were converted to T-scores using age, sex, and education-adjusted normative data. A T-score ≤ 35 defined impairment. A domain was impaired if 2+ scores fell in the impaired range except for the language and visuospatial domains due to the limited number of tests. RESULTS:Most football players had subjective cognitive concerns. On testing, rates of impairments were greatest for memory (21.2% two tests impaired), especially for recall of unstructured (44.7%) versus structured verbal stimuli (18.8%); 51.8% had one test impaired. 7.1% evidenced impaired executive functions; however, 20.6% had impaired Trail Making Test B. 12.1% evidenced impairments in the attention, visual scanning, and psychomotor speed domain with frequent impairments on Trail Making Test A (18.8%). Other common impairments were on measures of language (i.e., Multilingual Naming Test [21.2%], Animal Fluency [17.1%]) and working memory (Number Span Backward [14.7%]). Impairments on our tasks of visuospatial functions were infrequent. CONCLUSIONS:In this sample of former football players (most of whom had subjective cognitive concerns), there were diffuse impairments on neuropsychological testing with verbal memory being the most frequently impaired domain.

Evidence-based interventions (EBIs) are considered the gold standard but it is unclear if they are effective across settings. Reach Out and Stay Strong, Essentials for new Mothers (ROSE) has been shown to prevent postpartum depression in clinical settings, but has not been implemented or tested in homeless populations. We used the Exploration, Preparation, Implementation and Sustainment (EPIS) model overlaid with the Dynamic Adaptation Process (DAP) to adapt ROSE for implementation in a homeless shelter system in a large U.S. city, using feedback from both the organization and community. The adapted intervention was called Strong in Shelter (SIS). In this paper, we present 4 DAPS (April, 2018- December, 2020); the EPIS stages within each DAP are described. The Exploration Stage is centered around early and ongoing engagement with shelter providers and residents. The Preparation Stage includes adaptations based on learnings from the Exploration and the Implementation Stages from previous DAPs. The Implementation Stage highlights what we learned from implementation and both quantitative and qualitative feedback from shelter staff and residents. Following the DAP cycles, we created scalable plans in the Sustainment Stage. Thematic analysis was used to identify, analyze and report patterns within qualitative data, and descriptive analyses were conducted with quantitative data. Participant engagement and satisfaction were high and facilitators reported implementing SIS with fidelity to ROSE"™s core components. By engaging staff and the participants early and continually, and utilizing an iterative and flexible adaptation process, EBIs such as ROSE can be adapted and implemented with fidelity in new settings.

Purpose: This study aimed to assess the prevalence of self-reported polycystic ovary syndrome (PCOS) among Emiratis and examine bi-directional associations of PCOS with self-reported chronic diseases, namely: diabetes, asthma, high cholesterol, and high blood pressure. Patients and Methods: A cross-sectional analysis was performed using the UAE Healthy Future Study (UAEHFS) data collected from February 2016 to April 2022 involving 1040 Emirati women aged 25"“67 years from recruitment centers in the United Arab Emirates (UAE). The bi-directional associations between self-reported PCOS and self-reported chronic diseases were evaluated by establishing temporality based on reported age-at-diagnoses. Firstly, the associations between PCOS (diagnosed at ≥25 years) and chronic diseases (diagnosed at <25 years) were examined, followed by PCOS (diagnosed at <25 years) and chronic diseases (diagnosed at ≥25 years). Finally, a Poisson regression under unadjusted and age-and-body mass index (BMI) adjusted models was performed to obtain the risk ratio (RR) and its 95% confidence interval (CI). Results: The prevalence of PCOS in this study was 25.9%. Those with asthma and high cholesterol diagnosed at <25 years had increased risks of PCOS diagnosed at ≥25 years (RR = 1.79, 95% CI: 1.17"“2.76 for asthma; and RR = 1.61, 95% CI: 1.01"“2.59 for high cholesterol), compared to those respective healthier counterparts, after adjusting for age and BMI. No significant association was observed between PCOS diagnosed at <25 years and respective chronic diseases diagnosed at ≥25 years. Conclusion: PCOS prevalence among Emirati women was high. Asthma and high cholesterol in earlier life were associated with PCOS in later life. Understanding how chronic disease conditions and PCOS are associated in bi-directional ways may improve the surveillance of chronic disease conditions among women with PCOS and may also contribute to more targeted PCOS prevention strategies.

INTRODUCTION/BACKGROUND:In July 2018, the U.S. Department of Housing and Urban Development passed a rule requiring public housing authorities to implement smoke-free housing (SFH) policies. We measured secondhand smoke (SHS) exposure immediately before, and repeatedly up to 36 months post-SFH policy implementation in a purposeful sample of 21 New York City (NYC) high-rise buildings (>15 floors): 10 NYC Housing Authority (NYCHA) buildings subject to the policy and 11 privately managed buildings in which most residents received housing vouchers (herein 'Section 8'). METHODS:We invited participants from non-smoking households (NYCHA n=157, Section 8 n=118) to enroll into a longitudinal air monitoring study, measuring (1) nicotine concentration with passive, bi-sulfate-coated filters, and (2) particulate matter (PM2.5) with low-cost particle sensors. We also measured nicotine concentrations and counted cigarette butts in common areas (n=91 stairwells and hallways). We repeated air monitoring sessions in households and common areas every 6 months, totaling six post-policy sessions. RESULTS:After three years, we observed larger declines in nicotine concentration in NYCHA hallways than in Section 8, [difference-in-difference (DID) = -1.92 µg/m 3 (95% CI -2.98, -0.87), p=0.001]. In stairwells, nicotine concentration declines were larger in NYCHA buildings, but the differences were not statistically significant [DID= -1.10 µg/m 3 (95% CI -2.40, 0.18), p=0.089]. In households, there was no differential change in nicotine concentration (p=0.093) or in PM2.5 levels (p=0.385). CONCLUSIONS:Nicotine concentration reductions in NYCHA common areas over three years may be attributable to the SFH policy, reflecting its gradual implementation over this time. IMPLICATIONS/CONCLUSIONS:Continued air monitoring over multiple years has demonstrated that SHS exposure may be declining more rapidly in NYCHA common areas as a result of SFH policy adherence. This may have positive implications for improved health outcomes among those living in public housing, but additional tracking of air quality and studies of health outcomes are needed. Ongoing efforts by NYCHA to integrate the SFH policy into wider healthier-homes initiatives may increase policy compliance.

Introduction: Immigration has been identified as an important social determinant of health (SDH), embodying structures and policies that reinforce positions of poverty, stress, and limited social and economic mobility. In the public health literature with regard to diet, immigration is often characterized as an individual-level process (dietary acculturation) and is largely examined in one racial/ethnic subgroup at a time. For this narrative review, we aim to broaden the research discussion by describing SDH common to the immigrant experience and that may serve as barriers to healthy diets. Methods: A narrative review of peer-reviewed quantitative, qualitative, and mixed methods studies on cardiometabolic health disparities, diet, and immigration was conducted. Results: Cardiometabolic disease disparities were frequently described by racial/ethnic subgroups instead of country of origin. While cardiovascular disease and obesity risk differed by country of origin, diabetes prevalence was typically higher for immigrant groups vs United States (US)-born individuals. Common barriers to achieving a healthy diet were food insecurity; lack of familiarity with US food procurement practices, food preparation methods, and dietary guidelines; lack of familiarity and distrust of US food processing and storage methods; alternative priorities for food purchasing (eg, freshness, cultural relevance); logistical obstacles (eg, transportation); stress; and ethnic identity maintenance. Conclusions: To improve the health of immigrant populations, understanding similarities in cardiometabolic health disparities, diet, and barriers to health across immigrant communities"”traversing racial/ethnic subgroups"”may serve as a useful framework. This framework can guide research, policy, and public health practices to be more cohesive, generalizable, and meaningfully inclusive.

IMPORTANCE/UNASSIGNED:Financial incentives for weight management may increase use of evidence-based strategies while addressing obesity-related economic disparities in low-income populations. OBJECTIVE/UNASSIGNED:To examine the effects of 2 financial incentive strategies developed using behavioral economic theory when added to provision of weight management resources. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:Three-group, randomized clinical trial conducted from November 2017 to May 2021 at 3 hospital-based clinics in New York City, New York, and Los Angeles, California. A total of 1280 adults with obesity living in low-income neighborhoods were invited to participate, and 668 were enrolled. INTERVENTIONS/UNASSIGNED:Participants were randomly assigned to goal-directed incentives, outcome-based incentives, or a resources-only group. The resources-only group participants were given a 1-year commercial weight-loss program membership, self-monitoring tools (digital scale, food journal, and physical activity monitor), health education, and monthly one-on-one check-in visits. The goal-directed group included resources and linked financial incentives to evidence-based weight-loss behaviors. The outcome-based arm included resources and linked financial incentives to percentage of weight loss. Participants in the incentive groups could earn up to $750. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Proportion of patients achieving 5% or greater weight loss at 6 months. RESULTS/UNASSIGNED:The mean (SD) age of the 668 participants enrolled was 47.7 (12.4) years; 541 (81.0%) were women, 485 (72.6%) were Hispanic, and 99 (14.8%) were Black. The mean (SD) weight at enrollment was 98.96 (20.54) kg, and the mean body mass index (calculated as weight in kilograms divided by height in meters squared) was 37.95 (6.55). At 6 months, the adjusted proportion of patients who lost at least 5% of baseline weight was 22.1% in the resources-only group, 39.0% in the goal-directed group, and 49.1% in the outcome-based incentive group (difference, 10.08 percentage points [95% CI, 1.31-18.85] for outcome based vs goal directed; difference, 27.03 percentage points [95% CI, 18.20-35.86] and 16.95 percentage points [95% CI, 8.18-25.72] for outcome based or goal directed vs resources only, respectively). However, mean percentage of weight loss was similar in the incentive arms. Mean earned incentives was $440.44 in the goal-directed group and $303.56 in the outcome-based group, but incentives did not improve financial well-being. CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this randomized clinical trial, outcome-based and goal-directed financial incentives were similarly effective, and both strategies were more effective than providing resources only for clinically significant weight loss in low-income populations with obesity. Future studies should evaluate cost-effectiveness and long-term outcomes. TRIAL REGISTRATION/UNASSIGNED:ClinicalTrials.gov Identifier: NCT03157713.