Higher unemployment benefits are associated with reduced drug overdose mortality in the United States before and during the COVID-19 pandemic.

OBJECTIVES: Overdose mortality rates in the United States remain critical to population health. Economic , such as unemployment, are noted risk factors for drug overdoses. The COVID-19 pandemic exacerbated economic hardship; as a result, the US government enacted income protection programs in conjunction with existing unemployment insurance (UI) to dampen COVID-19-related economic consequences. We investigate whether UI, operationalized as the weekly benefit allowance (WBA) replacement rate, is negatively associated with drug-related overdoses. METHODS: Data from the pooled 2014-2020 Detailed Restricted Mortality files for all counties from the Centers for Disease Control and Prevention, restricted to people ≥18 years of age, aggregated at the county-quarter level (n = 89,914). We included any fatal drug, opioid, and stimulant overdose. We modeled the association between WBA replacement rate (e.g., a greater proportion of weekly earnings replaced by UI) on each county-level age-adjusted mortality outcome using separate linear regression models during 2014-2020, pre-COVID (2014-2018), and post-COVID (2019-2020). We conducted sensitivity analyses using multi-level linear regression models. RESULTS: Results indicated that a more robust WBA replacement rate any drug (Risk Difference [RD]: -0.06, 95 % Confidence Interval [CI]: -0.08, -0.05), opioid (RD: -0.04, 95 % CI: -0.06, -0.03), and stimulant (RD: -0.03, 95 % CI: -0.04, -0.02) across the entire study period (2014-2020). A more robust WBA replacement rate was associated with fewer fatal drug, opioid and stimulant overdoses in the pre-COVID-19 period and on fatal any drug and stimulant overdoses in the COVID-19 period. CONCLUSIONS: Findings support the notion that income protection policies, such as robust UI, can have a supportive role in preventing fatal drug overdoses, calling for a broader discussion onthe role of the safety net programs to buffer drug-related harms.

Decline in use of high-risk agents for tight glucose control among older adults with diabetes in New York City: 2017-2022.

BACKGROUND: This study aimed to examine the prevalence of inappropriate tight glycemic control in older adults with type 2 diabetes and other chronic conditions in New York City, and to identify factors associated with this practice. METHODS: We conducted a retrospective cohort study using the INSIGHT Clinical Research Network. The study population included 11,728 and 15,196 older adults in New York City (age ≥ 75 years) with a diagnosis of type 2 diabetes, and at least one other chronic medical condition, in 2017 and 2022, respectively. The main outcome of interest was inappropriate tight glycemic control, defined as HbA1c <7.0% (<53 mmol/mol) with prescription of at least one high-risk agent (insulin or insulin secretagogue). RESULTS: The proportion of older adults with inappropriate tight glycemic control decreased by nearly 19% over a five-year period (19.4% in 2017 to 15.8% in 2022). There was a significant decrease in insulin (27.8% in 2017; 24.3% in 2022) and sulfonylurea (29.4% in 2017; 21.7% in 2022) medication prescription, and increase in use of GLP-1 agonists (1.8% in 2017; 11.4% in 2022) and SGLT-2 inhibitors (5.8% in 2017; 25.1% in 2022), among the total population. Factors associated with inappropriate tight glycemic control in 2022 included history of heart failure (adjusted odds ratio [aOR] 1.38), chronic kidney disease ([aOR] 1.93), colorectal cancer ([aOR] 1.38), acute myocardial infarction ([aOR] 1.28), "other" ([aOR] 0.72) or "unknown" ([aOR] 0.72) race, and a point increase in BMI ([aOR] 0.98). CONCLUSIONS: We found an encouraging trend toward less use of high-risk medication strategies for older adults with type 2 diabetes and multiple chronic conditions. However, one in six patients in 2022 still had inappropriate tight glycemic control, indicating a need for continued efforts to optimize diabetes management in this population.

Characterizing Mental Health Status and Service Utilization in Chinese Americans With Type 2 Diabetes in New York City: Cross-Sectional Study.

BACKGROUND: Emerging evidence indicates that individuals with type 2 diabetes (T2D) are more prone to mental health issues than the general population; however, there is a significant lack of data concerning the mental health burden in Chinese Americans with T2D. OBJECTIVE: The aim of this study was to explore the comorbid mental health status, health-seeking behaviors, and mental service utilization among Chinese Americans with T2D. METHODS: A cross-sectional telephone survey was performed among 74 Chinese Americans with T2D in New York City. We used standardized questionnaires to assess mental health status and to gather data on mental health-seeking behaviors and service utilization. Descriptive statistics were applied for data analysis. RESULTS: A total of 74 Chinese Americans with T2D completed the survey. Most participants (mean age 56, SD 10 years) identified as female (42/74, 57%), were born outside the United States (73/74, 99%), and had limited English proficiency (71/74, 96%). Despite nearly half of the participants (34/74, 46%) reporting at least one mental health concern (elevated stress, depressive symptoms, and/or anxiety), only 3% (2/74) were currently using mental health services. Common reasons for not seeking care included no perceived need, lack of information about Chinese-speaking providers, cost, and time constraints. The cultural and language competence of the provider was ranked as the top factor related to seeking mental health care. CONCLUSIONS: Chinese Americans with T2D experience relatively high comorbid mental health concerns yet have low service utilization. Clinicians may consider team-based care to incorporate mental health screening and identify strategies to provide culturally and linguistically concordant mental health services to engage Chinese Americans with T2D.

Platelet RNA Biomarker of Ticagrelor-Responsive Genes Is Associated With Platelet Function and Cardiovascular Events.

BACKGROUND: Identifying patients with the optimal risk:benefit for ticagrelor is challenging. The aim was to identify ticagrelor-responsive platelet transcripts as biomarkers of platelet function and cardiovascular risk. METHODS: Healthy volunteers (n=58, discovery; n=49, validation) were exposed to 4 weeks of ticagrelor with platelet RNA data, platelet function, and self-reported bleeding measured pre-/post-ticagrelor. RNA sequencing was used to discover platelet genes affected by ticagrelor, and a subset of the most informative was summarized into a composite score and tested for validation. This score was further analyzed (1) in CD34+ megakaryocytes exposed to an P2Y12 inhibitor in vitro, (2) with baseline platelet function in healthy controls, (3) in peripheral artery disease patients (n=139) versus patient controls (n=30) without atherosclerosis, and (4) in patients with peripheral artery disease for correlation with atherosclerosis severity and risk of incident major adverse cardiovascular and limb events. RESULTS: Ticagrelor exposure differentially expressed 3409 platelet transcripts. Of these, 111 were prioritized to calculate a Ticagrelor Exposure Signature score, which ticagrelor reproducibly increased in discovery and validation cohorts. Ticagrelor's effects on platelets transcripts positively correlated with effects of P2Y12 inhibition in primary megakaryocytes. In healthy controls, higher baseline scores correlated with lower baseline platelet function and with minor bleeding while receiving ticagrelor. In patients, lower scores independently associated with both the presence and extent of atherosclerosis and incident ischemic events. CONCLUSIONS: Ticagrelor-responsive platelet transcripts are a biomarker for platelet function and cardiovascular risk and may have clinical utility for selecting patients with optimal risk:benefit for ticagrelor use.

Longitudinal relationships among exclusionary school discipline, adolescent substance use, and adult arrest: Public health implications of the school-to-prison pipeline.

PURPOSE: Exclusionary school discipline is an initiating component of the school-to-prison pipeline that is racialized and may lead to short- and long-term negative substance use and criminal legal outcomes. However, these impacts, and racial disparities therein, have not been well explored empirically at the individual-level. PROCEDURES: We analyzed data from the National Longitudinal Study of Adolescent to Adult Health (1995-2009). We fit survey-weighted multivariable logistic regression models to estimate reciprocal relationships between exclusionary discipline and adolescent substance use, between these factors and subsequent exposure to the adult criminal legal system, and whether these relationships were modified by race or ethnicity. RESULTS: We found that students reporting substance use had 2.07 (95% CI 1.57, 2.75) times greater odds of reporting subsequent school discipline, and students exposed to school discipline had 1.59 (95% CI 1.26, 2.02) times greater odds of reporting subsequent substance use. Substance use and school discipline were associated with 2.69 (95% CI 2.25, 3.22) and 2.98 (95% CI 2.46, 3.60) times the odds of reporting subsequent adult criminal legal system exposure, respectively. There was little evidence of effect modification by race/ethnicity. CONCLUSIONS: Findings indicate that school discipline and substance use are reciprocally associated and have direct implications for adolescent health and future criminal legal system exposure.

Cannabis and Alcohol Use by U.S. Young Adults, 2008-2019: Changes in Prevalence After Recreational Cannabis Legalization.

INTRODUCTION: Young adults' cannabis and alcohol use patterns have changed after state recreational cannabis legalization according to studies based on college samples but not nationally representative samples. Associations between recreational cannabis legalization and changes in cannabis and alcohol use outcomes among young adults were examined, including differences by college enrollment and minor status (ages 18-20 vs 21-23 years). METHODS: Repeated cross-sectional data (2008-2019) were collected from college-eligible participants aged 18-23 years in the National Survey on Drug Use and Health. Self-reported past-month cannabis use and frequent use (≥20 days) and a proxy for past-year DSM-5 cannabis use disorder were primary outcomes; past-month frequent alcohol use and binge drinking were secondary outcomes. Multilevel logistic regression models quantified changes in outcome prevalence from the study years before to after recreational cannabis legalization, adjusting for secular trends. Analyses were conducted on March 22, 2022. RESULTS: Prevalence increased from before to after recreational cannabis legalization for past-month cannabis use (from 21% to 25%) and past-year proxy cannabis use disorder (from 11% to 13%); the increases were statistically significant [adjusted odds ratio (95% CI) = 1.20 (1.08-1.32) and 1.14 (1.003-1.30), respectively]. Increases were detected for young adults who were not in college and who were aged 21-23 years. Recreational cannabis legalization impacts were not detected for secondary outcomes. CONCLUSIONS: Some young adults appear sensitive to state recreational cannabis legalization, including in terms of cannabis use disorder risk. Additional prevention efforts should be directed to young adults who are not in college and timed to occur before age 21 years.

Recreational cannabis legislation and binge drinking in U.S. adolescents and adults.

BACKGROUND: Recreational cannabis laws (RCLs) may have spillover effects on binge drinking. Our aims were to investigate binge drinking time trends and the association between RCLs and changes in binge drinking in the United States (U.S.). METHODS: We used restricted National Survey on Drug Use and Health data (2008-2019). We examined trends in the prevalence of past-month binge drinking by age groups (12-20, 21-30, 31-40, 41-50, 51+). Then, we compared model-based prevalences of past-month binge drinking before and after RCL by age group, using multi-level logistic regression with state random intercepts, an RCL by age group interaction term, and controlling for state alcohol policies. RESULTS: Binge drinking declined overall from 2008 to 2019 among people aged 12-20 (17.54% to 11.08%), and those aged 21-30 (43.66% to 40.22%). However, binge drinking increased among people aged 31+ (ages 31-40: 28.11% to 33.34%, ages 41-50: 25.48% to 28.32%, ages 51+: 13.28% to 16.75%). When investigating model-based prevalences after versus before RCL, binge drinking decreased among people aged 12-20 (prevalence difference=-4.8%; adjusted odds ratio (aOR)=0.77, [95% confidence interval (CI) 0.70-0.85]), and increased among participants aged 31-40 (+1.7%; 1.09[1.01-1.26]), 41-50 (+2.5; 1.15[1.05-1.26]) and 51+ (+1.8%; 1.17[1.06-1.30]). No RCL-related changes were noted in respondents ages 21-30. CONCLUSIONS: Implementation of RCLs was associated with increased past-month binge drinking in adults aged 31+ and decreased past-month binge drinking in those aged < 21. As the cannabis legislative landscape continues to change in the U.S., efforts to minimize harms related to binge drinking are critical.

Implementation fidelity to a behavioral diabetes prevention intervention in two New York City safety net primary care practices.

BACKGROUND: It is critical to assess implementation fidelity of evidence-based interventions and factors moderating fidelity, to understand the reasons for their success or failure. However, fidelity and fidelity moderators are seldom systematically reported. The study objective was to conduct a concurrent implementation fidelity evaluation and examine fidelity moderators of CHORD (Community Health Outreach to Reduce Diabetes), a pragmatic, cluster-randomized, controlled trial to test the impact of a Community Health Workers (CHW)-led health coaching intervention to prevent incident type 2 Diabetes Mellitus in New York (NY). METHODS: We applied the Conceptual Framework for Implementation Fidelity to assess implementation fidelity and factors moderating it across the four core intervention components: patient goal setting, education topic coaching, primary care (PC) visits, and referrals to address social determinants of health (SDH), using descriptive statistics and regression models. PC patients with prediabetes receiving care from safety-net patient-centered medical homes (PCMHs) at either, VA NY Harbor or at Bellevue Hospital (BH) were eligible to be randomized into the CHW-led CHORD intervention or usual care. Among 559 patients randomized and enrolled in the intervention group, 79.4% completed the intake survey and were included in the analytic sample for fidelity assessment. Fidelity was measured as coverage, content adherence and frequency of each core component, and the moderators assessed were implementation site and patient activation measure. RESULTS: Content adherence was high for three components with nearly 80.0% of patients setting ≥ 1 goal, having ≥ 1 PC visit and receiving ≥ 1 education session. Only 45.0% patients received ≥ 1 SDH referral. After adjusting for patient gender, language, race, ethnicity, and age, the implementation site moderated adherence to goal setting (77.4% BH vs. 87.7% VA), educational coaching (78.9% BH vs. 88.3% VA), number of successful CHW-patient encounters (6 BH vs 4 VA) and percent of patients receiving all four components (41.1% BH vs. 25.7% VA). CONCLUSIONS: The fidelity to the four CHORD intervention components differed between the two implementation sites, demonstrating the challenges in implementing complex evidence-based interventions in different settings. Our findings underscore the importance of measuring implementation fidelity in contextualizing the outcomes of randomized trials of complex multi-site behavioral interventions. TRIAL REGISTRATION: The trial was registered with ClinicalTrials.gov on 30/12/2016 and the registration number is NCT03006666 .

Causal Knowledge as a Prerequisite for Interrogating Bias: Reflections on Hernán et al. 20 Years Later.

In their seminal 2002 paper, "Causal Knowledge as a Prerequisite for Confounding Evaluation: An Application to Birth Defects Epidemiology," Hernán et al. (Am J Epidemiol. 2002;155(2):176-184) emphasized the importance of using theory rather than data to guide confounding control, focusing on colliders as variables that share characteristics with confounders but whose control may actually introduce bias into analyses. In this commentary, we propose that the importance of this paper stems from the connection the authors made between nonexchangeability as the ultimate source of bias and structural representations of bias using directed acyclic graphs. This provided both a unified approach to conceptualizing bias and a means of distinguishing between different sources of bias, particularly confounding and selection bias. Drawing on examples from the paper, we also highlight unresolved questions about the relationship between collider bias, selection bias, and generalizability and argue that causal knowledge is a prerequisite not only for identifying confounders but also for developing any hypothesis about potential sources of bias.

Cannabis Recreational Legalization and Prevalence of Simultaneous Cannabis and Alcohol Use in the United States.

BACKGROUND: Simultaneous cannabis/alcohol use, using both substances within a short time interval so that their effects overlap, has a greater risk of potential negative consequences than single-substance use and is more common in younger age. Relationships between recreational cannabis laws (RCLs) and changes in simultaneous cannabis/alcohol use prevalence remain untested. OBJECTIVE: To examine trends in simultaneous cannabis/alcohol use from 2008 to 2019, and investigate associations between implementation of RCLs (i.e., presence of active legal dispensaries or legal home cultivation) and simultaneous cannabis/alcohol use in the United States (U.S.). DESIGN: Repeated cross-sectional samples from the 2008-2019 U.S. National Survey on Drug Use and Health (NSDUH). PARTICIPANTS: Respondents (51% female) aged 12 and older. INTERVENTIONS: Changes in simultaneous cannabis/alcohol use before and after RCL implementation (controlling for medical cannabis law implementation) were compared in different age groups (12-20, 21-30, 31-40, 41-50, 51+), using adjusted multi-level logistic regression with state random intercepts and an RCL/age group interaction. MEASUREMENTS: Self-reported simultaneous cannabis/alcohol use. RESULTS: From 2008 to 2019, the overall prevalence of simultaneous cannabis/alcohol use declined among those aged 12-20 but increased in adults aged 21+. Model-based simultaneous cannabis/alcohol use prevalence increased after RCL implementation among respondents aged 21-30 years (+1.2%; aOR= 1.15 [95%CI = 1.04-1.27]), 31-40 years (+1.0; 1.15 [1.04-1.27]), and 41-50 years (+1.75; 1.63 [1.34-1.98]), but not in individuals aged <21 or 51+ years. CONCLUSIONS: Implementation of recreational cannabis policies resulted in increased simultaneous use of cannabis and alcohol, supporting the complementarity hypothesis, but only among adults aged 21+. Efforts to minimize harms related to simultaneous cannabis/alcohol use are critical, especially in states with RCLs. Future studies should investigate cultural norms, perceived harm, and motives related to simultaneous use.

Evaluating biodiversity for coral reef reformation and monitoring on complex 3D structures using environmental DNA (eDNA) metabarcoding.

Quantifying coral reef biodiversity is challenging for cryptofauna and organisms in early life stages. We demonstrate the utility of eDNA metabarcoding as a tool for comprehensively evaluating invertebrate communities on complex 3D structures for reef reformation, and the role these structures play in provisioning habitat for organisms. 3D design and printing were used to create 18 complex tiles, which were used to form artificial reef structures. eDNA was collected from scraping tile surfaces for organismal biomass and from seawater samples around the artificial reefs in the Gulf of Eilat/Aqaba, Red Sea. Metabarcoding targeted the mitochondrial COI gene with specific primers for marine biodiversity. We provide the first eDNA biodiversity baseline for the Gulf of Eilat/Aqaba, capturing extensive information on species abundance, richness, and diversity. Tile tops had higher phylogenetic diversity and richness, despite a higher abundance of organisms on tile bottoms, highlighting the detection of cryptic organisms with eDNA. We recommend eDNA metabarcoding for reef restoration initiatives, especially for complex marine structures, to improve success and evaluation of biodiversity.

Study design of BETTER-BP: Behavioral economics trial to enhance regulation of blood pressure.

Background: Nonadherence to antihypertensive medications remains a persistent problem that leads to preventable morbidity and mortality. Behavioral economic strategies represent a novel way to improve antihypertensive medication adherence, but remain largely untested especially in vulnerable populations which stand to benefit the most. The Behavioral Economics Trial To Enhance Regulation of Blood Pressure (BETTER-BP) was designed in this context, to test whether a digitally-enabled incentive lottery improves antihypertensive adherence and reduces systolic blood pressure (SBP). Design: BETTER-BP is a pragmatic randomized trial conducted within 3 safety-net clinics in New York City: Bellevue Hospital Center, Gouveneur Hospital Center, and NYU Family Health Centers - Park Slope. The trial will randomize 435 patients with poorly controlled hypertension and poor adherence (<80% days adherent) in a 2:1 ratio (intervention:control) to receive either an incentive lottery versus passive monitoring. The incentive lottery is delivered via short messaging service (SMS) text messages that are delivered based on (1) antihypertensive adherence tracked via a wireless electronic monitoring device, paired with (2) a probability of lottery winning with variable incentives and a regret component for nonadherence. The study intervention lasts for 6 months, and ambulatory systolic blood pressure (SBP) will be measured at both 6 and 12 months to evaluate immediate and durable lottery effects. Conclusions: BETTER-BP will generate knowledge about whether an incentive lottery is effective in vulnerable populations to improve antihypertensive medication adherence. If successful, this could lead to the implementation of this novel strategy on a larger scale to improve outcomes.

Social Determinants of Health and Diabetes-Related Distress in Patients With Insulin-Dependent Type 2 Diabetes: Cross-sectional, Mixed Methods Approach.

BACKGROUND: Social determinants of health (SDOH) refer to the social, economic, and psychosocial conditions that influence health. Lower levels of SDOH factors including income, education, and employment are associated with a higher prevalence of diabetes, poorer glycemic control, and increased diabetes-related mortality. Few studies have conducted a comprehensive evaluation of multiple SDOH factors in a population with type 2 diabetes mellitus (T2DM). OBJECTIVE: This study aimed to identify the range of SDOH challenges-including diabetes-related distress-that impact patients with insulin-dependent diabetes at an urban safety-net clinic using the 5-domain SDOH framework developed by the Healthy People 2020 initiative. METHODS: The pilot study used a cross-sectional, mixed methods approach. Participants were recruited from 3 programs within a general internal medicine clinic that provides ambulatory care for patients with uncontrolled T2DM. We administered an investigator-developed SDOH survey based on the Healthy People 2020 framework and the validated Diabetes Distress Scale (DDS), which assesses 4 domains of diabetes-related distress. One-on-one interviews were conducted to gain in-depth information about challenges. RESULTS: In total, 57 participants had an average hemoglobin A1c level of 11.0% (SD 2.6%). Overall, 92% (52/57) of participants had a barrier in at least one SDOH domain. SDOH challenges were most commonly reported in the domain of Health and Health Care (84%, 48/57), followed by Economic Stability (54%, n=31), Neighborhood and Built Environment (53%, n=30), Education and Health Literacy (47%, n=27), and Social and Community context (37%, n=21). The mean overall DDS score was 2.09 (SD 0.84), where scores of ≥2 indicate distress. Further, 79% (45/57) of participants had at least moderate diabetes-related distress in one of the 4 DDS domains. General themes that emerged from participant interviews included job interference with healthy behaviors, concerns about burdening others, challenges communicating with providers, and difficulty getting appointments in a timely manner. CONCLUSIONS: We found high levels of SDOH barriers across all 5 domains of the Center for Disease Control and Prevention's Healthy People 2020 framework, including significant levels of diabetes-related distress. Future programs to address SDOH barriers in patients with uncontrolled insulin-dependent diabetes should consider screening for and focusing on a wide range of challenges.

Engaging HIV-prevention ambassadors to promote oral PrEP among adolescent girls and young women: results of a Zimbabwe field test.

The HIV Prevention Ambassador Training Package for Adolescent Girls and Young Women was created in collaboration with adolescent girls and young women (AGYW) to improve skills, knowledge, and attitudes about oral pre-exposure prophylaxis (PrEP) among peer "ambassadors". It was field tested with 17 ambassadors in Mazowe District, Zimbabwe and changes in ambassadors' knowledge and attitudes about oral PrEP, as well as changes in oral PrEP uptake among AGYW in the district, were assessed. The training package improved oral PrEP knowledge among trained ambassadors and built AGYW's skills to advocate for oral PrEP awareness and rollout. Use of the training package correlated with a 59% increase in oral PrEP uptake among AGYW in Mazowe District in the seven months following the training. The ambassador training package could help support oral PrEP introduction and scale up in countries with high HIV incidence by engaging AGYW in oral PrEP rollout in their communities.

Perceptions of peer and parental attitudes toward substance use and actual adolescent substance use: The impact of adolescent-confidant relationships.

Objective: While peer influence is a well-documented risk factor for adolescent substance use, it remains unclear whether peer or parental attitudes have greater impact, and if this relationship is moderated by having a confidant and the relationship between adolescents and their confidant. Method: Pooled (2015-2018) National Survey on Drug Use and Health (NSDUH) data on adolescents (12-17 years) were used. Perceived peer and parental disapproval of tobacco, alcohol, and marijuana use were dichotomized. We assessed associations between disapproval and past-month tobacco (N = 51,352), alcohol (N = 51,407), and marijuana use (N = 51,355) using separate multivariable logistic regression models. We explored effect modification by the presence of a confidant, parental vs. non-parental disapproval, and peer vs. non-peer confidant relationship. Results: Peer and parental disapproval, presence of any confidant, and identifying a parental confidant were consistently protective against substance use; identifying a peer confidant increased odds of use across substances. For marijuana use, peer disapproval (adjusted odds ratio [aOR]: 0.07, 95% confidence interval [CI]: 0.06, 0.08) was more protective than parental disapproval (aOR: 0.13, 95% CI: 0.12, 0.15). The joint presence of peer/parental disapproval and any confidant decreased the odds of substance use beyond the individual effects of peer/parental disapproval and having a confidant. However, having a peer confidant attenuated the protective association between peer/parental disapproval and tobacco, alcohol, and marijuana use. Conclusions: Both peer and parental relationships are salient when considering the social context of adolescent substance use and should be considered when studying the effects of perceived disapproval.

Emerging 3D technologies for future reformation of coral reefs: Enhancing biodiversity using biomimetic structures based on designs by nature.

The rapid decline of vulnerable coral reefs has increased the necessity of exploring interdisciplinary methods for reef restoration. Examining how to upgrade these tools may uncover options to better support or increase biodiversity of coral reefs. As many of the issues facing reef restoration today deal with the scalability and effectiveness of restoration efforts, there is an urgency to invest in technology that can help reach ecosystem-scale. Here, we provide an overview on the evolution to current state of artificial reefs as a reef reformation tool and discuss a blueprint with which to guide the next generation of biomimetic artificial habitats for ecosystem support. Currently, existing artificial structures have difficulty replicating the 3D complexity of coral habitats and scaling them to larger areas can be problematic in terms of production and design. We introduce a novel customizable 3D interface for producing scalable, biomimetic artificial structures, utilizing real data collected from coral ecosystems. This interface employs 3D technologies, 3D imaging and 3D printing, to extract core reef characteristics, which can be translated and digitized into a 3D printed artificial reef. The advantages of 3D printing lie in providing customized tools by which to integrate the vital details of natural reefs, such as rugosity and complexity, into a sustainable manufacturing process. This methodology can offer economic solutions for developing both small and large-scale biomimetic structures for a variety of restoration situations, that closely resemble the coral reefs they intend to support.

What is the prevalence of drug use in the general population? Simulating underreported and unknown use for more accurate national estimates.

PURPOSE: To outline a method for obtaining more accurate estimates of drug use in the United States (US) general population by correcting survey data for underreported and unknown drug use. METHODS: We simulated a population (n = 100,000) reflecting the demographics of the US adult population per the 2018 American Community Survey. Within this population, we simulated the "true" and self-reported prevalence of past-month cannabis and cocaine use by using available estimates of underreporting. We applied our algorithm to samples of the simulated population to correct self-reported estimates and recover the "true" population prevalence, validating our approach. We applied this same method to 2018 National Survey on Drug Use and Health (NSDUH) data to produce a range of underreporting-corrected estimates. RESULTS: Simulated self-report sensitivities varied by drug and sampling method (cannabis: 77.6%-78.5%, cocaine: 14.3%-22.1%). Across repeated samples, mean corrected prevalences (calculated by dividing self-reported prevalence by estimated sensitivity) closely approximated simulated "true" prevalences. Applying our algorithm substantially increased 2018 NSDUH estimates (self-report: cannabis = 10.5%, cocaine = 0.8%; corrected: cannabis = 15.6%-16.6%, cocaine = 2.7%-5.5%). CONCLUSIONS: National drug use prevalence estimates can be corrected for underreporting using a simple method. However, valid application of this method requires accurate data on the extent and correlates of misclassification in the general US population.

Prescription Drug Monitoring and Child Maltreatment in the United States, 2004-2018.

OBJECTIVE: To test whether a policy approach aimed at decreasing prescription drug misuse, specifically, state monitoring of controlled substance prescriptions-prescription drug monitoring programs (PDMPs)-were associated with changes in Child Protective Services-reported maltreatment prevalence. STUDY DESIGN: Using a difference-in-differences design and maltreatment data (2004-2018) from 50 states and the District of Columbia, we compared the prevalence of total maltreatment incidents and total victims, in states with and without PDMPs, before and after implementation. Exploratory analyses further examined models disaggregated by maltreatment type (neglect, physical abuse, sexual abuse, psychological abuse) and among different racial/ethnic groups. Quasi-Poisson models included state-level covariates, state- and year-fixed effects, and cluster-robust standard errors. RESULTS: Difference-in-differences models identified greater relative reductions in PDMP states relative to controls (total prevalence ratio, 0.87; 95% CI, 0.80, 0.940; victimization prevalence ratio, 0.92; 95% CI, 0.85-0.98) over the observation period. Decreases seemed to be driven by changes in neglect (prevalence ratio, 0.87; 95% CI, 0.80-0.93) and physical abuse (prevalence ratio, 0.78; 95% CI, 0.71-0.87) incidents, and may have been especially salient for American Indian/Alaskan Native children (prevalence ratio, 0.78; 95% CI, 0.65-0.94). CONCLUSIONS: We found evidence supporting an association between prescription drug monitoring and reduced maltreatment prevalence at the state level. Policies aimed at restricting the prescribing and dispensing of controlled substances may have indirect implications for child welfare.