Heavy Alcohol Users Research Articles

Steatotic Liver Disease Education Enhances Knowledge and Confidence to Adhere to Provider Recommendations in Diverse and Vulnerable Populations

Background and AimsPatient knowledge of steatotic liver disease (SLD) is suboptimal. We assessed the impact of SLD education on patient knowledge and confidence to follow provider recommendations among a diverse vulnerable population. MethodsIn this prospective study from 2/19/2020 to 1/31/2024, 296 adults with SLD were surveyed before and after receipt of formal SLD education. Linear regression (adjusted for age, sex, race) assessed factors associated with baseline SLD knowledge score and its change after education (delta in pre- and post-scores), along with confidence to follow provider recommendations following receipt of education. ResultsParticipant characteristics were: median age 53 years, 40.9% male, 55.1% Hispanic (27.0% Asian and 10.5% White), and 23.8% reported heavy alcohol use. SLD knowledge and confidence to follow provider recommendations increased post-education (all p<0.05). On multivariable analyses, greater than high school education (vs. high school or less) (coef. 0.62), perceived severity of disease (coef. 0.62), treatment efficacy (coef. 1.38), self-efficacy to discuss SLD (coef. 0.71), and perceived susceptibility to disease risk (coef. 0.93) were associated with greater baseline knowledge (all p<0.05). Following education, heavy alcohol use (vs. none) was associated with greater change in knowledge (coef. 0.74), while perceived severity (coef. -0.52) and treatment efficacy (coef. -0.72) were associated with lesser change in knowledge (all p<0.05). While perceived barriers (coef. -0.14) were associated with less confidence, self-efficacy to discuss SLD, older age, Hispanic, and other race was associated with greater confidence to follow provider recommendations (coef. 0.38, 0.18, 0.64, and 1.26, respectively, all p<0.05). ConclusionFormal SLD education enhanced knowledge and confidence to follow provider recommendations in Hispanics and heavy alcohol users. SLD education is integral to SLD management in safety-net populations.

Development of a Novel and Rapid LC-MS/MS Method for Measuring Phosphatidylethanol in Whole Blood

Abstract Alcohol consumption can lead to serious health repercussions, including motor impairments and organ failure. Testing for short-term alcohol use is routinely conducted using blood ethanol tests in clinical laboratories. However, there is an emergent need to identify heavy alcohol users, especially crucial for patients undergoing organ transplant evaluations. With the advent of various biomarkers to detect heavy alcohol use, phosphatidyl ethanol (PEth), a group of abnormal phospholipids formed in cell membranes due to alcohol consumption, has gained prominence. PEth has been analyzed in whole blood with liquid chromatography-tandem mass spectrometry (LC-MS/MS) as two isomers: 18:1 (fatty acid:double bond) and 18:2 (fatty acid:double bond). We have developed an LC-MS/MS method that can detect these isomers in 4.5 minutes at concentrations of 10-500 ng/mL with excellent linearity and precision. In contrast to most LC-MS/MS methods where phospholipids are removed to minimize ion suppression, this method requires retaining phospholipids because the analyte, PEth, is a type of phospholipid. This was achieved through a ‘reverse extraction’ approach using phospholipid removal cartridges. Subsequently, the extracted samples were separated in an Agilent Protoshell 120 HPLC column on a Vanquish UHPLC instrument using 1 mM ammonium formate with 0.2% formic acid in water as Solution A and 50/50 isopropanol/acetonitrile as Solution B. The separation is performed starting at 80% Solution B (rest is Solution A) followed by a gradient elution where Solution B was increased to 95% over 2.3 minutes. Ions were analyzed using a ThermoFisher TSQ Endura MS/MS instrument in the negative mode. Additionally, commercially available whole blood was found to contain detectable levels of PEth in random lots, rendering them unsuitable for use as blank blood in the preparation of calibrators and quality controls. Instead, synthetic was used for this purpose. Ion suppression was observed, and various strategies were attempted to minimize it, including adjusting additives in the mobile phase, extending LC separation times, among others. More details on the impact of these adjustments and their effectiveness in improving the method’s performance will be presented.

Alcohol Protective Behavioral Strategy use and Negative Consequences Across Heavy Alcohol Users and Risky Drinkers.

This study investigated differences in alcohol protective behavioral strategy (PBSA) use and negative consequences (ARNC) experienced among heavy alcohol users and non-heavy alcohol users, and risky and non-risky drinkers. Participants were from 12 universities in the United States (n = 2,163 college students, Mage = 19.47), predominantly identified as White (74%), and female (68.7%), who completed measures of typical weekly drinking, risky drinking, ARNC, and PBSA use. ANOVAs revealed that the heavy alcohol users and risky drinkers reported significantly fewer total PBSA, subtype strategy use, and greater negative consequences than their counterparts. Harm reduction interventions may benefit from identifying and targeting college students who are engaging in heavy alcohol use and risky drinking regardless of sex.

Association between heavy alcohol consumption and cryptogenic ischaemic stroke in young adults: a case–control study

BackgroundThe underlying risk factors for young-onset cryptogenic ischaemic stroke (CIS) remain unclear. This multicentre study aimed to explore the association between heavy alcohol consumption and CIS with subgroup analyses stratified...

Factors influencing smoking cessation attempts and success in Iranian male adults: national survey data

BackgroundSmoking cessation is a dynamic process that often involves a series of unsuccessful quit attempts before long-term abstinence is achieved. To implement interventions that lead to long-term abstinence, it will be necessary to understand the determinants of smoking cessation. Therefore, the main objective of the present study was to determine the effect of factors influencing both smoking cessation attempts and successful smoking cessation in the general population of Iran.MethodsThe data of 1293 participants whose information was obtained through a national cross-sectional study entitled “Survey of Risk Factors of Noncommunicable Diseases in 2016” were analyzed. There were three response levels: “quit attempt and successful quit”, “quit attempt and unsuccessful quit”, and “no quit attempt and unsuccessful quit”. A multinomial logistic regression model was used to assess the effect of covariates on response.ResultsThe mean (sd) age of all participants was 47.21 (13.65) years. According to the results, 883 people (68.29%) did not attempt to quit smoking, and of those who attempted to quit smoking, only 64 (15.61%) men were successful. The factors of living in an urban area (OR = 1.71) and past smoking intensity (OR = 1.967) were associated with no quit attempt and unsuccessful quitting. In addition, physician recommendation to quit smoking was a protective factor for no quit attempt and unsuccessful quit (OR = 0.599). Alcohol consumption was also a protective factor against successful quitting for both attempters (OR = 0.351) and nonattempters (OR = 0.359).ConclusionsTobacco control programs should be implemented with a greater focus on heavy smokers and alcohol users. In addition, the role of health professionals in encouraging smokers to quit smoking should not be ignored.

Peripheral mucosal-associated invariant T (MAIT) cells are severely depleted in HIV-positive heavy alcohol users

Abstract MAIT cells are innate-like lymphocytes enriched in mucosal tissues, liver, and peripheral blood, contributing to protection against pathogens. Alcohol abuse and HIV infection independently reduce circulating MAIT cells. To assess their combined impact, we studied peripheral blood MAIT cells in heavy drinkers without overt liver disease (ALC), people with HIV (PWH) on ART, PWH on ART with heavy drinking (HIV-ALC), and healthy donors (HD). MAIT cell frequencies were significantly reduced in ALC (median 0.56, IQR 0.22-1.44; p=0.001), HIV (0.43, 0.20-0.97; p&amp;lt;0.001), and HIV-ALC (0.30, 0.14-0.74; p&amp;lt;0.001) vs HD (1.52, 0.74-2.71), accompanied by increased apoptotic MAIT cells. MAIT cells in HIV and HIV-ALC expressed elevated levels of activation markers (CD38, HLA-DR), with HIV-ALC also having higher CD69 levels than HIV and HD. Activated MAIT cells in HIV-ALC positively correlated with disease severity (prolonged prothrombin time, total bilirubin) and trended inversely with CD4% and CD4/CD8 ratio. However, no correlate was observed with cytokines linked to MAIT cell activation/function (IFN-α, IL-7, IL-12, IL-15, IL-17, IL-18, IL-23, IFN-γ, TNF-α). They also did not correlate with levels of blood biomarkers of gut injury/microbial translocation (TFF3, REG3α, LBP), monocyte/macrophage activation (sCD14, sCD163), and systemic inflammation (CRP). Conclusion: Peripheral blood MAIT cells in HIV-ALC were severely depleted, yet highly activated, and associated with disease severity.

Prevalence and associated factors of substance use disorders among people who use drugs: a population-based cross-sectional study in the Western Province of Sri Lanka

Introduction: This study aimed to assess the prevalence of substance use disorders and associated factors among people who use drugs in the Western Province of Sri Lanka. Methods: A cross-sectional study was conducted in the Western Province of Sri Lanka, using a respondent-driven sampling technique. Sampling was initiated with 20 seeds and peers were recruited by peers through handing out coupons. The number of recruited participants was proportional to the estimated number of people who use drugs in each district of Western Province. A total of 870 people who use drugs participated in the study. A validated Sinhala version of the Drug Abuse Screening Test was used to assess the drug use severity among the participants and a pre-tested validated questionnaire was used to collect data to assess the associated factors. RDS Analyst software version 0.64 was used to assess frequency estimates. To assess factors associated with substance use disorders multiple logistic regression analysis was performed using SPSS software version 22. Results: The median age of the study sample was 39 years. The incidence of substance use disorder among the sample was 88.4%. Being employed, using heroin as a psychoactive drug, using drugs daily, using more than one drug, being a heavy alcohol user, buying drugs, stealing money or exchanging goods to get drugs, spending a substantial amount per month on drugs (Rs &gt; 40,001), past or present medical history of tuberculosis and those who had disclosed their drug use behavior to their immediate family were found to be significantly associated with an increased risk of having a substance use disorder. Conclusion: A high prevalence of substance use disorder was found in the sample with multiple economic, behavioral, and health-related risk factors.

Attentional Biases and Their Association with Substance-Use-Related Problems and Addictive Behaviors: The Utility of a Gamified Value-Modulated Attentional Capture Task

BackgroundAttentional biases towards reward stimuli have been implicated in substance use-related problems. The value-modulated attentional capture (VMAC) task assesses such reward-related biases. The VMAC task widely used in lab studies tends to be monotonous and susceptible to low effort. We therefore tested a gamified online version of the VMAC that aimed to increase participant engagement. Our goal was to examine how VMAC is associated with substance use-related problems and addictive behaviors, and whether this association is moderated by cognitive control. MethodsWe recruited 285 participants from an online community, including heavy alcohol users. All participants completed a novel gamified version of the VMAC task, measures of substance use and addictive behaviors (addictive-like eating behavior, problematic smartphone use), the WebExec measure of problems with executive functions, and the Stroop Adaptive Deadline Task (SDL) as a measure of cognitive control. ResultsThe gamified VMAC task successfully identified value-modulated attentional capture effects towards high-reward stimuli. We found no significant associations between VMAC scores, problematic alcohol or cannabis use, addictive behaviors, or any moderation by a behavioral measure of cognitive control. Exploratory analyses revealed that self-reported cognitive problems were associated with more alcohol-, and cannabis-related problems, and addictive behaviors. Greater attentional capture (VMAC) was associated with more cannabis use-related problems among individuals with higher levels of self-reported cognitive problems. ConclusionsOur study is one of the first to demonstrate the utility of the gamified version of the VMAC task in capturing attentional reward biases. Self-reported problems with cognitive functions represent a key dimension associated with substance use-related problems and addictive behaviors.

MicroRNAs Signature Panel Identifies Heavy Drinkers with Alcohol-Associated Cirrhosis from Heavy Drinkers without Liver Injury.

Background: Alcohol-associated liver disease (ALD) is the most common disorder of prolonged drinking. Mechanisms underlying cirrhosis in such patients remain unclear. MicroRNAs play regulatory role in several diseases, are affected by alcohol and may be important players in alcohol use disorders, such as cirrhosis. Methods: We investigated serum samples from heavy chronic alcohol users (80 g/day (male) and 50 g/day (female) for ≥10 years) that were available from our previously reported GenomALC study. A subset of GenomALC drinkers with liver cirrhosis (cases, n = 24) and those without significant liver disease (drinking controls, n = 23) were included. Global microRNA profiling was performed using high-throughput real-time quantitative PCR to identify the microRNA signatures associated with cirrhosis. Ingenuity Pathway Analysis (IPA) software was utilized to identify target mRNAs of significantly altered microRNAs, and molecular pathways were analysed. Identified microRNAs were analysed for correlation with traditional liver disease biomarkers and risk gene variants previously reported from GenomALC genome-wide association study. Results: The expression of 21 microRNAs was significantly downregulated in cases compared to drinking controls (p < 0.05, ∆∆Ct > 1.5-fold). Seven microRNAs (miR-16, miR-19a, miR-27a, miR-29b, miR-101, miR-130a, and miR-191) had a highly significant correlation (p < 0.001) with INR, bilirubin and MELD score. Three microRNAs (miR-27a, miR-130a and miR-191) significantly predicted cases with AUC-ROC 0.8, 0.78 and 0.85, respectively (p < 0.020); however, INR performed best (0.97, p < 0.001). A different set of six microRNAs (miR-19a, miR-26a, miR-101, miR-151-3p, miR-221, and miR-301) showed positive correlation (ranging from 0.32 to 0.51, p < 0.05) with rs10433937:HSD17B13 gene variant, associated with the risk of cirrhosis. IPA analysis revealed mRNA targets of the significantly altered microRNAs associated with cell death/necrosis, fibrosis and increased steatosis, particularly triglyceride metabolism. Conclusions: MicroRNA signatures in drinkers distinguished those with liver cirrhosis from drinkers without liver disease. We identified mRNA targets in liver functions that were enriched for disease pathogenesis pathways.

The Impact of the Association Between Nonalcoholic Fatty Liver Disease and Intrahepatic Cholestasis of Pregnancy on Maternal and Fetal Outcomes.

Backgroundː Intrahepatic cholestasis of pregnancy (ICP), a hepatic condition that causes severe itching in late pregnancy, is linked to nonalcoholic fatty liver disease (NAFLD) due to disrupted bile acid balance. It poses maternal risks such as preterm labor and gestational diabetes and fetal risks such as preterm birth and respiratory distress. The study examined NAFLD's impact on ICP in pregnant women, highlighting management and research implications. Methodsː This retrospective study examined pregnant women (≥18 years) with ICP, assessing fatty liver with follow-up ultrasounds. Participants were divided into ICP only and ICP with fatty liver (FL) groups, excluding heavy alcohol users and incomplete data. Maternal age, medical history, and comorbidities were evaluated alongside abdominal ultrasounds to identify FL. Resultsː In this study of 43 pregnant women, the mean maternal age was 27 years. Patients with ICP and FL had significantly higher bile acid levels than those with ICP alone. However, no significant differences were found between the two groups regarding the history of gestational diabetes mellitus (GDM), dyslipidemia, polycystic ovarian syndrome (PCOS), parity, and hypothyroidism. Among women with ICP and FL, 51.85% underwent lower segment cesarean section (LSCS), while 43.75% with ICP without FL underwent LSCS. Conclusionsː ICP with FL did not show significant adverse effects on maternal and neonatal outcomes, including mode of delivery, gestational age, maternal complications, neonatal intensive care unit (NICU) admissions, and low birth weight (LBW) with asphyxia. However, additional research is required to fully comprehend the relationship between ICP, NAFLD, and their impact on pregnancy outcomes.

Brain structural covariance network features are robust markers of early heavy alcohol use.

Recently, we demonstrated that a distinct pattern of structural covariance networks (SCN) from magnetic resonance imaging (MRI)-derived measurements of brain cortical thickness characterized young adults with alcohol use disorder (AUD) and predicted current and future problematic drinking in adolescents relative to controls. Here, we establish the robustness and value of SCN for identifying heavy alcohol users in three additional independent studies. Cross-sectional and longitudinal studies using data from the Pediatric Imaging, Neurocognition and Genetics (PING) study (n = 400, age range = 14-22 years), the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) (n = 272, age range = 17-22 years) and the Human Connectome Project (HCP) (n = 375, age range = 22-37 years). Cases were defined based on heavy alcohol use patterns or former alcohol use disorder (AUD) diagnoses: 50, 68 and 61 cases were identified. Controls had none or low alcohol use or absence of AUD: 350, 204 and 314 controls were selected. Graph theory metrics of segregation and integration were used to summarize SCN. Mirroring our prior findings, and across the three data sets, cases had a lower clustering coefficient [area under the curve (AUC) = -0.029, P = 0.002], lower modularity (AUC = -0.14, P = 0.004), lower average shortest path length (AUC = -0.078, P = 0.017) and higher global efficiency (AUC = 0.007, P = 0.010). Local efficiency differences were marginal (AUC = -0.017, P = 0.052). That is, cases exhibited lower network segregation and higher integration, suggesting that adjacent nodes (i.e. brain regions) were less similar in thickness whereas spatially distant nodes were more similar. Structural covariance network (SCN) differences in the brain appear to constitute an early marker of heavy alcohol use in three new data sets and, more generally, demonstrate the utility of SCN-derived metrics to detect brain-related psychopathology.

Effectiveness of contingency management using transdermal alcohol monitoring to reduce heavy drinking among driving while intoxicated (DWI) arrestees: A randomized controlled trial.

Driving while intoxicated (DWI) is a serious public health problem. However, treatment for DWI arrestees is not readily available. This study examines the effectiveness of a contingency management (CM) procedure using transdermal alcohol concentration (TAC) monitoring to reduce drinking among DWI arrestees. The study participants were 216 DWI arrestees under pretrial and included both Mandated participants undergoing court-ordered TAC monitoring and Non-Mandated participants wearing a study-provided TAC monitor. Participants were randomly assigned to either a CM (Mandated = 35; Non-Mandated = 74) or a Control condition (Mandated = 37; Non-Mandated = 70) and completed the 8-week intervention. CM participants received $50/week for not exceeding a TAC of 0.02 g/dL during the previous week. Payments to Controls were yoked to the CM group. Among Non-Mandated participants, the probability of meeting the contingency was higher and remained stable (about 65%) over time in the CM group, whereas the probability was lower and declined in the Control group, widening the gaps in the probability between the study conditions (16.7%-24.1% greater in the CM group from visit 4 to 8, all p < 0.05). Among Mandated participants, the probability was not significantly different between conditions (p = 0.06-0.95). Furthermore, among Non-Mandated participants, the percentage of heavy drinking days remained low (9.16%-11.37%) in the CM group, whereas it was greater and increased over time (17.43%-26.59%) in the Control group. In Mandated participants, no significant differences in percent heavy drinking days were observed between conditions (p = 0.07-0.10). We found that contingency effects on alcohol use are more pronounced among frequent and heavy alcohol users, i.e., Non-Mandated DWI arrestees. However, for individuals whose drinking was already suppressed by existing contingencies (i.e., court-mandated TAC monitoring), our CM procedure did notproduce additional reductions in drinking.

Opioid receptor antagonism and neural response to monetary rewards: Pilot studies in light and heavy alcohol users.

Alcohol use disorder (AUD) is a prevalent condition associated with high degree of comorbidity and mortality. Among the few approved pharmacotherapies for AUD, two involve opioid receptor antagonism. Naltrexone and nalmefene are thought to act via opioid receptor blockage to reduce neural response to alcohol and drug-associated cues and consumption, but there have been limited efforts to characterize these effects in humans. In these studies, we sought to test the magnitude of opioid antagonism effects on neural response to monetary rewards in two groups: light drinkers (for the naltrexone study) and heavy drinkers (for the nalmefene study). We conducted double-blind, randomized, crossover pilot studies of reward activation in the brain following acute administration of opioid antagonist and placebo in 11 light and 9 heavy alcohol users. We used a monetary incentive delay task during functional MRI. We found a main effect of cue type on BOLD activation in the nucleus accumbens, demonstrating a neural reward response. The effect of opioid antagonism, relative to placebo, was small and nonsignificant for reward activation in the accumbens for both light and heavy alcohol users. Based on the results of two pilot studies, opioid antagonist medications do not appear to decrease neural activation to monetary rewards in the nucleus accumbens relative to placebo.

The complementarity of phosphatidylethanol in whole blood and ethyl glucuronide in hair as biomarkers for the monitoring of alcohol use.

Monitoring long-term alcohol use and/or abstinence is essential in clinical and medico-legal cases. Analysis of ethyl glucuronide (EtG) in hair provides information on alcohol consumption over several months. However, there is a lag time between ethanol consumption, incorporation of EtG in the hair bulb and hair growing out of the scalp. Phosphatidylethanol (PEth) 16:0/18:1 analysis in whole blood has a detection window of 2-4 weeks, allowing for the detection of recent alcohol consumption. In this study, 2340 paired samples (of hair and venous whole blood from 1170 individuals) were analysed for EtG in hair (hEtG) and PEth 16:0/18:1 in venous whole blood. PEth 16:0/18:1 and hEtG results were subdivided into three categories according to the consensus of SoHT (hEtG) and PEth-NET (PEth): abstinence/low, moderate or excessive alcohol consumption. For hEtG analysis, 446 individuals presented abstinence/low alcohol consumption, of which 2% were classified as excessive alcohol users through PEth 16:0/18:1 analysis. This suggests excessive alcohol consumption in the weeks before sample collection. Out of 483 individuals classified as heavy alcohol users based on hEtG analysis, 14% showed abstinence/low alcohol consumption for PEth 16:0/18:1 analysis, implying that these subjects stopped drinking 2-4 weeks before sample collection. Our results show that the analysis of the two different biomarkers can lead to a more accurate categorisation of individuals. Therefore, we emphasize that for the retrospective investigation of alcohol use, it is necessary to include two alcohol use biomarkers with different detection windows.

Associations Between Gender-Specific Substance Use Patterns and Mental Health Among Adolescents in the Republic of Korea: A Latent Class Analysis.

Although gender differences in adolescent substance use are complex and substance use accompanies mental health problems, most previous studies have focused on gender-specific association between single substance use and mental health. This study aimed to investigate gender-specific substance use patterns and to examine their association with mental health characteristics. Nationally representative data from the Korea Youth Risk Behavior Survey collected in 2018 were analyzed. To identify substance use patterns among male adolescents (n = 30,463) and female adolescents (n = 29,577), multiple-group latent class analysis was conducted using eight substance use indicators. In addition, we conducted a latent class analysis with covariates to examine the association between substance use patterns and mental health characteristics. Among both gender samples, the four-class model best fit the data: nonusers (86.4%), frequent smokers (2.9%), risky drinkers (7.1%), and heavy tobacco and alcohol users with lifetime heated tobacco product use (3.6%) for male adolescents, and nonusers (89.8%), frequent smokers (0.5%), risky drinkers (8.0%), and heavy tobacco and alcohol users with a drunkenness episode (1.7%) for female adolescents. Depression, suicidal plans, and suicidal attempts predicted the latent class model for both genders. In addition, stress level predicted the latent class model for female adolescents. The findings indicate that homogeneous patterns of substance use by gender are differentially associated with mental health problems. Therefore, health professionals should develop interventions tailored to gender-specific substance use patterns, taking into account the mental health characteristics of each pattern.

No difference in COVID-19 treatment outcomes among current methamphetamine, cannabis and alcohol users

BackgroundPoor outcomes of COVID-19 have been reported in older males with medical comorbidities including substance use disorder. However, it is unknown whether there is a difference in COVID-19 treatment outcomes between patients who are current cannabis users, excessive alcohol drinkers and those who use a known hazardous stimulant such as methamphetamine (METH).MethodsElectronic medical records (EMR) of COVID-19 patients with current METH (n = 32), cannabis (n = 46), and heavy alcohol use (n = 44) were reviewed. COVID-19 infection was confirmed by positive SARS-CoV-2 PCR test, current drug use was confirmed by positive urine drug testing, and alcohol use was identified by a blood alcohol concentration greater than 11 mg/dl.Multivariate linear regression models as well as the firth logistic regression models were used to examine the effect of substance use group (METH, cannabis, or alcohol) on treatment outcome measures.ResultsA total of 122 patients were included in this analysis. There were no significant differences found between drug groups in regards to key SARS-CoV-2 outcomes of interest including ICU admission, length of stay, interval between SARS-CoV-2 positive test and hospital discharge, delirium, intubation and mortality after adjusting for covariates. About one-fifth (21.9% in METH users, 15.2% in cannabis users, and 20.5% in alcohol users) of all patients required ICU admission. As many as 37.5% of METH users, 23.9% of cannabis users, and 29.5% of alcohol users developed delirium (P = 0.4). There were no significant differences between drug groups in COVID-19 specific medication requirements. Eight patients in total died within 10 months of positive SARS-CoV-2 PCR test. Two patients from the METH group (6.3%), two patients from the cannabis group (4.3%), and four patients from the alcohol group (9.1%) died.DiscussionThe study outcomes may have been affected by several limitations. These included the methodology of its retrospective design, relatively small sample size, and the absence of a COVID-19 negative control group. In addition, there was no quantification of substance use and many covariates relied on clinical documentation or patient self-report. Finally, it was difficult to control for all potential confounders particularly given the small sample size.ConclusionDespite these limitations, our results show that current METH, cannabis, and heavy alcohol users in this study have similar treatment outcomes and suffer from high morbidity including in-hospital delirium and high mortality rates within the first-year post COVID-19. The extent to which co-morbid tobacco smoking contributed to the negative outcomes in METH, cannabis, and alcohol users remains to be investigated.

Cortical thickness is inversely associated with transcranial magnetic stimulation-evoked N45 potential among young adults whose heavy drinking began in adolescence.

Adolescence is a particularly vulnerable stage of development in terms of the deleterious effects of alcohol. Both lower gray matter (GM) volume and greater GABAergic activity have been associated with chronic alcohol consumption during adolescence. However, the association between these measures has not been investigated. In this exploratory study, we compared 26 young adults with a 10year history of heavy alcohol consumptionwith 21 controls who used little or no alcohol. Simultaneous transcranial magnetic stimulation and electroencephalography were used to assess transcranial magnetic stimulation-evoked N45 potentials, reflecting a balance between GABAergic inhibition and N-methyl-D-aspartate (NMDA) receptor-mediated glutaminergic excitation in the brain. GM thickness was measured from magnetic resonance images and GM and N45 potentials were then correlated. Cortical thickness was significantly lower in several brain regions in the heavy-drinking group than the light-drinking group. The N45 amplitude was significantly larger frontally in the heavy-drinking group. Among heavy drinkers, there were several statistically significant correlations between thinner GM and larger frontal N45 amplitudes that were not detectable in the light-drinking group. The strongest correlations were detected in the frontal and parietal lobes, especially in the left superior frontal gyrus and the left supramarginal gyrus, and in both hemispheres in the superior parietal lobes. These findings show that a thinner cortex and greater inhibitory neurotransmission are correlated in certain brain regions among young, long-term heavy alcohol users. Studies are needed to explore the possible causal mechanisms underlying these effects.

0480 Psychoactive Substance Use and Sleep Characteristics Among Individuals with Untreated Obstructive Sleep Apnea

Abstract Introduction Obstructive sleep apnea (OSA) is characterized by recurrent airway obstruction causing intermittent hypoxia, arousal from sleep, and autonomic instability, and is associated with a variety of long-term health sequala. The fragmented sleep resulting from these respiratory events leads to disruption in normal sleep architecture and progression to deeper stages of sleep, a potential mediator for some of the functional and neurocognitive impairments seen in this population. Similarly, psychoactive substance use (i.e., nicotine, alcohol, and caffeine) impacts sleep architecture in healthy individuals, but their effects in those with OSA have not been well described. We aimed to describe the association between psychoactive substance use and sleep characteristics and daytime symptoms in individuals with untreated OSA. Methods We performed a secondary, cross-sectional analysis of The Apnea Positive Pressure Long-term Efficacy Study (APPLES). Exposures included current smoking, alcohol, and caffeine use in individuals with untreated OSA. Outcome domains included subjective and objective sleep characteristics, daytime symptoms, and co-morbid conditions. Linear or logistic regression assessed the association between substance use and each domain (e.g., self-reported sleep duration, total polysomnographic sleep time, sleepiness, and anxiety). Results Of the 919 individuals with untreated OSA, 116 (12.6%) were current cigarette smokers, 585 (63.7%) were moderate or heavy alcohol users, and 769 (83.7%) were moderate or heavy caffeine users. Current smokers exhibited lower sleep duration (0.3 hours) and longer sleep latency (5 minutes) compared with non-smokers (all p-values&amp;lt; 0.05). REM sleep increased in those with moderate and heavy alcohol use (2.5 and 5% of total sleep time respectively), and moderate caffeine use (2%, all p-values &amp;lt; 0.05)). The combined smoker plus caffeine group exhibited shorter sleep duration (0.4 hours) and higher risk for chronic pain [Odds Ratio (95%CI) = 4.83 (1.57, 14.9). . Conclusion Both psychoactive substances and untreated OSA impact normal sleep architecture, their cumulative effect may have clinical implications in this subgroup. Stimulating or sedating substances may be used in OSA patients to mitigate daytime and nighttime symptoms respectively. Further investigation into the effects substances have on this population may present opportunities to better understand disease mechanisms and increase the effectiveness of treatment in OSA Support (if any)

Nicotine, alcohol, and caffeine use among individuals with untreated obstructive sleep apnea.

Psychoactive substance use (i.e., nicotine, alcohol, and caffeine) has substantial effects on sleep architecture in healthy individuals, but their effects in those with obstructive sleep apnea (OSA) have not been well described. We aimed to describe the association between psychoactive substance use and sleep characteristics and daytime symptoms in individuals with untreated OSA. We performed a secondary, cross-sectional analysis of The Apnea Positive Pressure Long-term Efficacy Study (APPLES). Exposures included current smoking, alcohol and caffeine use in individuals with untreated OSA. Outcome domains included subjective and objective sleep characteristics, daytime symptoms, and comorbid conditions. Linear or logistic regression assessed the association between substance use and each domain (e.g., self-reported sleep duration, total polysomnographic sleep time, sleepiness, and anxiety). Of the 919 individuals with untreated OSA, 116 (12.6%) were current cigarette smokers, 585 (63.7%) were moderate or heavy alcohol users, and 769 (83.7%) were moderate or heavy caffeine users. Participants were on average 52.2±11.9years old, 65.2% were male with a median BMI of 30.6 (IQR: 27.2, 35.9, kg/m2). Current smokers exhibited lower sleep duration (0.3h), longer sleep latency (5min) compared with non-smokers (all p-values < 0.05). People with heavy or moderate alcohol use exhibited more REM sleep (2.5 and 5% of total sleep time respectively), as did those with moderate caffeine use (2%, p-values < 0.05). The combined smoker plus caffeine group exhibited shorter sleep duration (0.4h, p-value < 0.05) and higher risk for chronic pain [Odds Ratio (95%CI) = 4.83 (1.57, 14.9) compared with non-users. Psychoactive substance use is associated with sleep characteristics and clinically relevant correlates in people with untreated OSA. Further investigation into the effects that various substances have on this population may present opportunities to understand disease mechanisms more fullyand increase the effectiveness of treatment in OSA.

Neighborhoods and adolescent polysubstance use in Jamaica.

The purpose of this study was to identify latent classes of polysubstance use among adolescents in Jamaica and the role of neighborhood factors in the association with polysubstance use class membership. This secondary analysis utilized a national cross-sectional household drug use survey conducted across 357 households in Jamaica (April 2016-July 2016) among a total of 4,625 individuals. A total of 750 adolescents (11-17 years) were included in this analysis. Latent class analysis (LCA) was conducted to identify polysubstance use patterns as well as latent neighborhood constructs. Neighborhood factors included social disorganization, concentrated disadvantage, community resources, community violence, and police station concentration. Multinomial regression analysis was implemented to evaluate the association between polysubstance use class membership and latent classes of neighborhood factors. The prevalence of lifetime polysubstance use was 27.56%. Four classes of polysubstance use were identified by comparing a series of five class models. The Bootstrap Likelihood Ratio Test (BLRT) indicated a good fit for the four-class model (<0.001). The prevalence of alcohol latent classes was: (1) heavy alcohol users and experimental smokers (Class I) (15.20%), (2) most hazardous polysubstance users (Class II) (5.33%), (3) heavy smokers and moderate alcohol users (Class III) (7.07%), and (4) experimental alcohol users (Class IV) (72.44%). Three classes of neighborhoods were identified by comparing a series of four-class models. The prevalence of the neighborhood classes was: (1) low social disorganization and disadvantage (Class I) (58.93%), (2) high social disorganization and moderate disadvantage (Class II) (10.93%), and (3) high social disorganization related to perceived drug use and disadvantage (Class III) (30.13%). The BLRT indicated a good fit for the three-class model (p=<0.004). Multinomial regression analysis indicated that adolescents living in neighborhoods with high disorder and moderate disadvantage (Class II) were 2.43 times (odds ratio (OR)) = 2.43, confidence interval (CI)) = 1.30-4.56) more likely to be heavy alcohol users and experimental smokers (Class I) compared to experimental alcohol users, adjusting for sex, age, ethnicity, religion, and income. Class II of neighborhood classes presented with the highest levels of community violence (100%), perceived disorder crime (64.6%), police station concentration (6.7%), and community resources (low resources is 87.6%), while the concentrated disadvantage was moderate (14.8%). Alcohol polysubstance use latent classes were identified among youth in this context. Neighborhoods with high disorder and moderate disadvantage (Class II) were associated with a higher likelihood of polysubstance use. The role of neighborhood conditions in shaping adolescent polysubstance use should be considered in policy, prevention, and treatment interventions.