Navigating ethical challenges in psychological research involving digital remote technologies and people who use alcohol or drugs.

Digital and remote technologies (DRT) are increasingly being used in scientific investigations to objectively measure human behavior during day-to-day activities. Using these devices, psychologists and other behavioral scientists can investigate health risk behaviors, such as drug and alcohol use, by closely examining the causes and consequences of monitored behaviors as they occur naturalistically. There are, however, complex ethical issues that emerge when using DRT methodologies in research with people who use substances. These issues must be identified and addressed so DRT devices can be incorporated into psychological research with this population in a manner that comports the ethical standards of the American Psychological Association. In this article, we discuss the ethical ramifications of using DRT in behavioral studies with people who use substances. Drawing on allied fields with similar ethical issues, we make recommendations to researchers who wish to incorporate DRT into their own research. Major topics include (a) threats to and methods for protecting participant and nonparticipant privacy, (b) shortcomings of traditional informed consent in DRT research, (c) researcher liabilities introduced by real-time continuous data collection, (d) threats to distributive justice arising from computational tools often used to manage and analyze DRT data, and (e) ethical implications of the "digital divide." We conclude with a more optimistic discussion of how DRT may provide safer alternatives to gold standard paradigms in substance use research, allowing researchers to test hypotheses that were previously prohibited on ethical grounds. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Sex steroid hormone levels associated with dopamine D2/3 receptor availability in people who smoke cigarettes.

Introduction: Sex differences exist in tobacco smoking. Women have greater difficulty quitting smoking than men. Tobacco smoking is driven by the reinforcing effects of nicotine, the primary addictive component in cigarettes. Nicotine binds to nicotinic acetylcholine receptors, facilitating dopamine release in striatal and cortical brain regions. Dysregulated dopamine D2/3 receptor signaling in the dorsolateral prefrontal cortex (dlPFC) is associated with cognitive deficits such as impairments in attention, learning, and inhibitory control that impede quit attempts. Sex steroid hormones, such as estradiol and progesterone, influence drug-taking behaviors, through dopaminergic actions, suggesting that their influence may explain sex differences in tobacco smoking. The goal of this study was to relate dlPFC dopamine metrics to sex steroid hormone levels in people who smoke and healthy controls. Methods: Twenty-four (12 women) people who smoke cigarettes and 25 sex- and age-matched controls participated in two same-day [11C]FLB457 positron emission tomography scans, one before and one after amphetamine administration. D2R availability (BPND) at baseline and after amphetamine administration was calculated. On the same day, plasma samples were collected for the analysis of sex steroid hormone levels: estradiol, progesterone, and free testosterone. Results: Women who smoke had trending lower levels of estradiol than their sex-matched counterparts. Men who smoke had higher levels of estradiol and trending higher levels of free testosterone than their sex-matched counterparts. Among women only, lower estradiol levels were significantly associated with lower pre-amphetamine dlPFC BPND. Discussion/conclusion: This study demonstrated that lower estradiol levels are associated with lower dlPFC D2R availability in women which may underlie difficulty resisting smoking.

Developmental trajectories of alcohol and cannabis concurrent use in a nationally representative sample of United States youths.

BACKGROUND: Previous studies have identified common trajectories of single type substance use over the course of adolescence; however, no study to date has examined joint trajectories of cannabis and alcohol concurrent use. Given that expansion of legal cannabis has increased availability, it is important to understand patterns of concurrent use in adolescents and factors that place male and female youth at risk for harmful trajectories of concurrent use. The current study sought to identify joint trajectories of cannabis and alcohol use - and predictors of harmful use trajectories - among male and female adolescents. METHOD: We used 4 waves of data from 6997 early adolescent participants (age 12-14 years at Wave 1) in the Population Assessment of Tobacco and Health, a nationally representative longitudinal study in the United States. Participants reported their cannabis and alcohol use reassessed yearly for 5 years (2013-2018). We used joint trajectory growth mixture modeling to identify trajectory groups as defined by changes in alcohol and cannabis use over time. RESULTS: Five classes of alcohol and cannabis concurrent use trajectories were identified. Both internalizing and externalizing symptoms at Wave 1 increased the odds of membership in trajectory groups characterized by more harmful use trajectories. Internalizing symptomatology was a stronger predictor of membership in escalating use trajectories among girls, whereas externalizing symptomatology stronger predictor among boys. CONCLUSIONS: These findings underscore the utility of jointly considering alcohol and cannabis use when describing common developmental trajectories of use and identifying risk factors for trajectories characterized by harmful use.

Liquor consumption is associated with other medical conditions in females who consume alcohol.

Background: Our group previously identified that females with AUD and females engaging in heavy or extreme binge drinking were more likely to report cancers and other medical conditions compared to their male counterparts. This analysis aimed to extend our previous findings to examine relationships between sex and consumption of alcohol by type on past year medical condition diagnoses. Methods: Data from the U.S. National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III; n = 36,309) was used to evaluate associations between sex (female vs. male) and alcohol type (liquor, wine, beer, coolers) on past year self-reported doctor-confirmed medical conditions, controlling for frequency of alcohol consumption. Results: A significant interaction demonstrated that females who consumed liquor were more likely to have other medical conditions (OR=1.95) compared to males who consumed liquor. Females who consumed wine in the past year were less likely to have cardiovascular conditions (OR=0.81) compared to males who consumed wine. Those who consumed liquor had increased odds of pain, respiratory, and other conditions (OR=1.11 - 1.21). Females were 1.5 times more likely to have cancers or pain, respiratory, and other medical conditions compared to males (OR=1.36 - 1.81). Conclusions: Results identify that consumption of higher alcohol content drinks (i.e., liquor) is associated with past year self-reported doctor- or health-professional confirmed medical conditions in females compared to males consuming the same high alcohol content beverage. Not only should AUD status and risky drinking be considered in the clinical care of individuals with poorer health but also alcohol type, especially higher alcohol content beverages.

Lower Dopamine D2/3 Receptor Availability is Associated With Worse Verbal Learning and Memory in People Who Smoke Cigarettes.

INTRODUCTION: Tobacco smoking is a major public health burden. The mesocortical dopamine system-including the dorsolateral prefrontal cortex (dlPFC)-plays an important role in cognitive function. Dysregulated dopamine signaling in dlPFC is associated with cognitive deficits such as impairments in attention, learning, working memory, and inhibitory control. We recently showed that dlPFC dopamine D2/3-type receptor (D2R) availability was significantly lower in people who smoke than in healthy-controls and that dlPFC amphetamine-induced dopamine release was lower in females who smoke relative to males who smoke and female healthy-controls. However, we did not examine whether the smoking-related dopamine deficits were related to cognitive deficits. AIMS AND METHODS: The goal of this study was to relate dopamine metrics to cognitive performance in people who smoke and healthy-controls. In total 24 (12 female) people who smoke cigarettes and 25 sex- and age-matched healthy-controls participated in two same-day [11C]FLB457 positron emission tomography (PET) scans before and after amphetamine administration. Two outcome measures were calculated-D2R availability (non-displaceable binding potential; BPND) and amphetamine-induced dopamine release (%ΔBPND). Cognition (verbal learning and memory) was assessed with a computerized test from the CogState battery (International Shopping List). RESULTS: People who smoke had significantly worse immediate (p = .04) and delayed (p = .03) recall than healthy-controls. Multiple linear regression revealed that for people who smoke only, lower D2R availability was associated with worse immediate (p = .04) and delayed (p < .001) recall. %ΔBPND was not significantly related to task performance. CONCLUSION: This study demonstrated that lower dlPFC D2R availability in people who smoke is associated with disruptions in cognitive function that may underlie difficulty with resisting smoking. IMPLICATIONS: This is the first study to directly relate dopamine metrics in the prefrontal cortex to cognitive function in people who smoke cigarettes compared to healthy-controls. The current work included a well-characterized subject sample with regards to demographic and smoking variables, as well as a validated neurocognitive test of verbal learning and memory. The findings of this study extend previous literature by relating dopamine metrics to cognition in people who smoke, providing a better understanding of brain-behavior relationships.

Adverse Childhood Experiences and Pathways to Violent Behavior for Women and Men.

Childhood maltreatment is associated with risk for committing future violence, but the relationship between subgroups and biological sex is unknown. The relationship between adverse childhood experiences (ACEs), violence, and sex was examined using a nationally representative sample. Results from a latent class analysis suggested a four-class model (low adversity; moderate maltreatment with high household dysfunction; severe maltreatment with moderate household dysfunction; severe multi-type adversities). When compared to low adversity, all typology groups were at significantly higher risk to engage in violence (odds ratio > 2.10, ps < .013). The data supported a linear trajectory, meaning increased childhood trauma was associated with increased risk for violence. Although men endorsed more violent behavior, the relationship between ACEs and violence was significantly stronger among women. Prior findings identify that women are more negatively impacted by ACEs and the current findings newly identify that this extends to violent crime.

Licit and illicit drug use across trimesters in pregnant women endorsing past-year substance use: Results from National Survey on Drug Use and Health (2009-2019).

PURPOSE: Given the health consequences, perinatal substance use is a significant public health concern, especially as substance use rates increase among women; ongoing data regarding the rates of substance use across trimesters of pregnancy is needed. METHODS: The present study utilized cross-sectional population-based data from the National Survey of Drug Use and Health (NSDUH) between 2009 and 2019. We aimed to explore both licit and illicit substance use assessed within each trimester among women endorsing past-year substance use. The NSDUH sample included 8,530 pregnant women. RESULTS: Perinatal substance use was less prevalent among women in later trimesters; however, past-month substance use was observed for all substances across trimesters. The prevalence of past-month licit substance use among pregnant women ranged from 5.77 to 22.50% and past-month illicit substance use ranged from 4.67 to 14.81%. In the second trimester, lower odds of past-month substance use were observed across tobacco, alcohol, and marijuana (odds ratios [ORs] ranging from 0.29 to 0.47), when compared to the first trimester. A similar lower rate of past-month substance use was observed in the third trimester compared to the first trimester, across tobacco, alcohol, and marijuana use, as well as cocaine, prescription pain medication, and tranquilizer use (ORs ranging from 0.02 to 0.42). The likelihood of polysubstance use was lower among women in the second and third trimesters compared to the first trimester (ORs ranging from 0.09 to 0.46). CONCLUSION: Findings indicate that a minority of women continue to use substances across all trimesters. This is especially true among women using licit substances and marijuana. These results highlight the need for improved interventions and improved access to treatment for these women.

Using machine learning to predict heavy drinking during outpatient alcohol treatment.

BACKGROUND: Accurate clinical prediction supports the effective treatment of alcohol use disorder (AUD) and other psychiatric disorders. Traditional statistical techniques have identified patient characteristics associated with treatment outcomes. However, less work has focused on systematically leveraging these associations to create optimal predictive models. The current study demonstrates how machine learning can be used to predict clinical outcomes in people completing outpatient AUD treatment. METHOD: We used data from the COMBINE multisite clinical trial (n = 1383) to develop and test predictive models. We identified three priority prediction targets, including (1) heavy drinking during the first month of treatment, (2) heavy drinking during the last month of treatment, and (3) heavy drinking between weekly/bi-weekly sessions. Models were generated using the random forest algorithm. We used "leave sites out" partitioning to externally validate the models in trial sites that were not included in the model training. Stratified model development was used to test for sex differences in the relative importance of predictive features. RESULTS: Models predicting heavy alcohol use during the first and last months of treatment showed internal cross-validation area under the curve (AUC) scores ranging from 0.67 to 0.74. AUC was comparable in the external validation using data from held-out sites (AUC range = 0.69 to 0.72). The model predicting between-session heavy drinking showed strong classification accuracy in internal cross-validation (AUC = 0.89) and external test samples (AUC range = 0.80 to 0.87). Stratified analyses showed substantial sex differences in optimal feature sets. CONCLUSION: Machine learning techniques can predict alcohol treatment outcomes using routinely collected clinical data. This technique has the potential to greatly improve clinical prediction accuracy without requiring expensive or invasive assessment methods. More research is needed to understand how best to deploy these models.

Sex Differences across Retrospective Transitions in Posttraumatic Stress and Substance Use Disorders.

Objectives: Concurrent substance use disorder (SUD) and posttraumatic stress disorder (PTSD) occur at high rates and are typically associated with poor treatment outcomes in both sexes. However, women have a propensity to cope with increased negative affect via substance use in comparison to men; thus, it is important to elucidate the sex-specific bidirectional relationships between SUD and PTSD to improve our understanding of concurrent SUD/PTSD in men and women. Methods: Using data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-Wave 3; n = 36,309), the present study evaluated the impact of sex on the relationship between past-year SUDs (new, remitted, ongoing), including alcohol and drug use, and retrospective transitions in new vs. absent and ongoing vs. remitted diagnoses of PTSD. Additionally, the impact of sex was explored in models examining past year PTSD (new, remitted, ongoing) and retrospective transitions in new vs. absent and ongoing vs. remitted diagnosis of SUDs. Diagnostic transitions were based on retrospective reporting. Results: Results indicated that new, remitted, and ongoing SUDs increase the likelihood of new PTSD diagnoses (OR range = 2.53-8.11; p < 0.05). Among individuals with ongoing drug use disorders (DUD), there were greater odds of ongoing PTSD (OR = 2.10, p < 0.01). When examining the relationship reciprocally, new, remitted, and ongoing PTSD increased the likelihood of new SUDs (OR range = 2.50-8.22; p < 0.05), and ongoing PTSD increased the likelihood of ongoing SUD and DUD (OR = 1.40, 1.70, respectively; p < 0.05). Sex-specific analyses revealed that the relationship between PTSD and SUDs varies between sexes, particularly among women. For instance, women with new PTSD had higher odds of SUDs, and women with ongoing PTSD were almost 2.5 times more likely to have an ongoing DUD. Women with a new PTSD diagnosis were more likely to be diagnosed with a new SUD (OR = 3.27) and an ongoing DUD (OR = 3.08). Conclusions: Results indicate a bidirectional relationship between PTSD and SUD that is in many instances larger in women. Thus, illustrating potential sex-specific differences in underlying mechanisms implicated in SUD/PTSD, warranting additional research.

Prospective Associations of Pain Intensity and Substance Use in the United States Population: A Cross-Lagged Panel Analysis.

OBJECTIVE: Pain is associated with increased risk for harmful substance use. Substance use also may increase levels of pain, suggesting that these two factors may reciprocally increase risk. The current study examined the reciprocal association between pain and substance use outcomes (i.e., alcohol, cannabis, and painkillers/sedatives/tranquilizers [PSTs]) longitudinally in a nationally representative cohort of non-incarcerated U.S. citizens. METHOD: Adult (≥18 years old) survey data from Waves 2-4 of the Population Assessment of Tobacco and Health (PATH) study were used. The PATH is a nationally representative multiwave cohort survey (Wave 2: October 2014-October 2015, Wave 3: October 2015-October 2016, Wave 4: December 2016-January 2018). Cross-lagged panel models were used to estimate the reciprocal effects of pain intensity and substance use on subsequent changes in both variables. Substance use outcomes were substance use problems and greater-than-weekly use for cannabis and PSTs, total past-month drinks, and alcohol use exceeding moderate drinking guidelines. All models controlled for autoregressive effects and demographic covariates. RESULTS: Pain intensity showed a positive prospective association with all substance use outcomes. All cannabis and PST use were positively associated with subsequent pain intensity. Alcohol use problems also predicted higher levels of pain intensity. Neither total past-month drinks nor exceeding moderate drinking guidelines predicted subsequent pain intensity. CONCLUSIONS: Pain and substance use show a reciprocal association and may act in a positive feedback loop to worsen both conditions over time in people with a history of use.

Establishing a Global Standard for Wearable Devices in Sport and Exercise Medicine: Perspectives from Academic and Industry Stakeholders.

Millions of consumer sport and fitness wearables (CSFWs) are used worldwide, and millions of datapoints are generated by each device. Moreover, these numbers are rapidly growing, and they contain a heterogeneity of devices, data types, and contexts for data collection. Companies and consumers would benefit from guiding standards on device quality and data formats. To address this growing need, we convened a virtual panel of industry and academic stakeholders, and this manuscript summarizes the outcomes of the discussion. Our objectives were to identify (1) key facilitators of and barriers to participation by CSFW manufacturers in guiding standards and (2) stakeholder priorities. The venues were the Yale Center for Biomedical Data Science Digital Health Monthly Seminar Series (62 participants) and the New England Chapter of the American College of Sports Medicine Annual Meeting (59 participants). In the discussion, stakeholders outlined both facilitators of (e.g., commercial return on investment in device quality, lucrative research partnerships, and transparent and multilevel evaluation of device quality) and barriers (e.g., competitive advantage conflict, lack of flexibility in previously developed devices) to participation in guiding standards. There was general agreement to adopt Keadle et al.'s standard pathway for testing devices (i.e., benchtop, laboratory, field-based, implementation) without consensus on the prioritization of these steps. Overall, there was enthusiasm not to add prescriptive or regulatory steps, but instead create a networking hub that connects companies to consumers and researchers for flexible guidance navigating the heterogeneity, multi-tiered development, dynamicity, and nebulousness of the CSFW field.

Sex and alcohol use disorder predict the presence of cancer, respiratory, and other medical conditions: Findings from the National Epidemiologic Survey on Alcohol and Related Conditions-III.

BACKGROUND: Women experience greater health consequences of alcohol compared to their male counterparts. In recent years, rates of drinking and heavy alcohol use have increased in women while remaining relatively steady in men. Thus, our aim was to newly examine associations between sex, AUD, and the presence of medical conditions in a large nationally representative, cross-sectional dataset. METHODS: Using data from the U.S. National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III; n = 36,309), we evaluated relationships among sex and DSM-5 AUD, and their association with past year clinician-confirmed medical conditions. RESULTS: Women were 1.5 to 2 times more likely to be diagnosed with a past year cancer, pain, respiratory, or other significant medical condition compared to men (odds ratio [OR] = 1.331-2.027). Individuals with an ongoing DSM-5 AUD were nearly 1.5 to 2 times more likely to report a confirmed past year liver, cardiovascular, cancer, or other significant medical condition compared to those without an AUD (OR = 1.437-2.073). Interactive effects demonstrated that women with an ongoing AUD were 2 to 3 times more likely to report a past year doctor- or health professional-confirmed medical condition compared to men; specifically, respiratory conditions and cancers (OR = 1.767-2.713). CONCLUSIONS: Results identify that AUD is a critical factor associated with disease that spans organ systems. Associations between AUD and respiratory conditions or cancers are particularly robust in women. Effective interventions for a broad spectrum of medical conditions should consider the role of problematic alcohol use, especially given that rates of drinking in women are increasing.

Gender and past year serious psychological distress are associated with past year AUD: Time-varying results from the National Survey on Drug Use and Health (NSDUH; 2008-2017).

BACKGROUND: Rates of alcohol use disorder (AUD) have increased in women in the last decade. Women may be more likely to engage in alcohol use to regulate stress and negative affect compared to men. Findings from our group found that life event stress was more strongly associated with new AUD in women vs. men. Our aim was to extend these findings to psychological distress, a potentially related construct to stress, using a second nationally representative dataset. METHODS: Using data from the National Survey on Drug Use and Health (NSDUH; 2008-2017, total n = 562,072), we examined time-varying associations between gender and past year serious psychological distress (SPD; Kessler-6 distress scale: scores > 13 yes, <13 no) with past year vs. absent DSM-IV AUD. RESULTS: A significant (p < 0.0001) gender by SPD interaction for past year vs. absent AUD demonstrated that past year SPD was associated with increased odds of past year AUD in men (OR = 3.33, 95% CI = 3.15, 3.52) and even greater odds of past year AUD in women (OR = 4.39, 95% CI = 4.14, 4.66). The gender by SPD by time interaction was not significant (p = 0.06). CONCLUSIONS: Results highlight that while men with past year SPD were 3 times more likely to have a past year AUD, women with past year SPD were nearly 4.5 times more likely to have a past year AUD. Psychological distress is clearly an important factor in AUD in both men and women, but results suggest that other factors may be driving the increase in rates of AUD in women.

Risk drinking levels and sex are associated with cancer and liver, respiratory, and other medical conditions.

Background: Heavy alcohol use is associated with increased risk of alcohol-related health consequences. Alcohol consumption has increased in females in the last fifteen years and females are more likely to experience exacerbated health risks due to drinking. Our group identified that females with AUD were more likely to report respiratory conditions or cancers compared to their male counterparts. This analysis sought to further examine relationships between sex and alcohol use on medical conditions by using the new 2020 U.S. Dietary Guidelines risk drinking levels. Methods: Data from the U.S. National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III; n = 36,309) was used to evaluate associations between sex (female vs. male) and alcohol risk drinking levels (abstainer, binge, heavy, extreme binge vs. moderate drinking) on past year self-reported doctor-confirmed medical conditions). Results: Females were 1.5 to 2 times more likely to have pain, respiratory, or other medical conditions in the past year (odds ratio [OR]=1.46-2.11) vs. males. Significant interactions demonstrated that heavy drinking females or extreme binge drinking females were 2 to 3 times more likely to have cancers or other conditions (OR=1.95-2.69) vs. males at the same risk drinking level. Female abstainers were more likely than male abstainers to have other medical conditions (OR=1.77). Conclusions: Consistent with our previous findings, results identify that higher risk drinking levels are associated with the presence of past year self-reported doctor-confirmed medical conditions spanning organ systems, particularly in females. Treatment for high-risk drinking should be considered in the clinical care of individuals with significant medical conditions.

A Critical Review of Alcohol Administration Guidelines in Laboratory Medication Screening Research: Is It Time to Include Treatment Seekers?

Human laboratory studies play an important role in alcohol use disorder (AUD) medication development. Medications that are found to be safe and effective during human laboratory screening will then move to more expensive clinical trials in patient populations. Given the gatekeeping role of human laboratory studies in the medication development pipeline, it is critical that these studies accurately forecast how pharmacotherapies will perform under true-to-life clinical conditions. On the other hand, the design of these studies also must adhere to ethical guidelines: certain aspects of clinical reality cannot be incorporated into screening studies because doing so might place the participant at risk for harm or breach other ethical guidelines. Conventions exist that guide the resolution of these conflicting ideals. This article considers the practice of recruiting non-treatment-seeking heavy drinkers to participate in laboratory screening studies. By convention, volunteers are excluded from laboratory screening studies that involve alcohol administration if they are deemed "treatment seeking," meaning that they recently stopped drinking or are motivated to do so. Although this common practice may reduce risk to participants, findings may not accurately predict medication effects on treatment seekers. Indeed, there is empirical evidence that treatment seekers differ from nontreatment seekers in their responses to medications (Neuropsychopharmacology 2017a; 42: 1776; Am J Drug Alcohol Abuse 2017b; 43: 703; J Psychiatr Res 2006; 40: 383). Here, we argue for the importance of recruiting treatment seekers for this research due to their qualitative difference from nontreatment seekers. We argue that these individuals should be the default population in human laboratory medication screening studies. We conclude by discussing 2 case examples of medication experiments led by our research groups that involved administering medications to treatment seekers.

The Prevalence of Substance Use Disorders among Community-based Adults with Legal Problems in the U.S.

BACKGROUND: Current national prevalence estimates of DSM-5 diagnosed substance use disorders (SUDs) among adults with justice system involvement are lacking. METHODS: This study drew from NESARC-III data (n = 36,309; 2012-2013), a nationally representative U.S. sample, to examine current and lifetime alcohol use disorder (AUD) and drug use disorder (DUD) diagnoses among adults reporting current or prior drug-related, alcohol-related, and general legal problems. RESULTS: Adults reporting current alcohol-related legal problems were 22 times more likely to have a current AUD diagnosis (AOR = 22.0, 95% CI = 12.1; 40.1) and 15 times more likely to have had a lifetime AUD diagnosis (AOR = 15.2, 95% CI = 7.5; 30.9) than adults without alcohol-related legal problems. Adults with lifetime drug-related legal problems were 3-5 times more likely to have a current (AOR = 2.6, 95% CI = 2.1; 3.2) and lifetime (AOR = 5.1, 95% CI = 4.3; 6.1) DUD diagnosis, with stimulant use disorder being the most prevalent (AOR = 5.4, 95% CI = 4.5; 6.5). Adults with general legal problems were around 3 times more likely to have a current AUD (AOR = 3.2, 95% CI = 2.6; 4.0) or DUD (AOR = 3.5, 95% CI = 2.8; 4.4). Women with any type of legal problem were more likely to have SUD diagnoses than men. CONCLUSIONS: SUD diagnoses are prevalent among adults reporting legal problems, particularly those involving alcohol. There is a continued need for community-based addiction prevention and intervention efforts, especially for women with justice system involvement.

Correlates of Concurrent Morbid Obesity and Tobacco Use Disorder Nationally in the Veterans Health Administration.

OBJECTIVE: The aim of this study was to examine health, demographic, and service utilization characteristics of veterans with multimorbid tobacco use disorder (TUD) and morbid obesity compared to those with either condition alone. Methods: Health record data were extracted from the computerized patient record system of the Veterans Health Administration (VHA; October 1, 2011 to September 30, 2012). Bivariate and multivariate logistic regression models were used to compare veterans with both TUD and morbid obesity (body mass index [BMI] ≥ 40 kg/m2) to veterans with each condition alone on a range of demographic, health, and service utilization outcome variables that also were extracted from the VHA administrative record. Results: Veterans with both morbid obesity and TUD showed higher rates of medical and psychiatric comorbidity than did veterans with either condition alone. However, while veterans with TUD and morbid obesity showed higher rates of comorbid substance use disorders than veterans with morbid obesity alone, veterans with both conditions showed substantially lower rates of substance use disorders than those with TUD alone. Conclusions: Veterans with co-occurring morbid obesity and TUD appear to be at greater risk for medical disease and psychiatric conditions. The unexpected finding that veterans with TUD alone had more concurrent substance use disorders than veterans with both TUD and morbid obesity suggest the possibility that overeating may be a substitute for substance use in the context of TUD. The multimorbidity profile described here may suggest unique treatment needs for individuals with both TUD and morbid obesity. Highlights Medical multimorbidities predict additional health conditions and poorer outcomes. Obesity and tobacco use may share common underlying vulnerabilities. Veterans with both conditions showed higher rates of certain multimorbidities. Obesity may protect against substance use in tobacco users.

A prospective study of the association between rate of nicotine metabolism and alcohol use in tobacco users in the United States.

BACKGROUND: Rate of nicotine metabolism has been identified as a biochemical risk factor for nicotine use and dependence; however, its role in alcohol consumption and related outcomes is not well understood. The current research examined nicotine metabolism rate as a risk factor for alcohol use among current tobacco users. We also examined sex differences in these associations. METHOD: Data were taken from Waves 1 and 2 of the Population Assessment of Tobacco and Health (PATH) study, a national longitudinal study of tobacco use and associated health outcomes. The nicotine metabolite ratio (NMR) was calculated as the ratio of trans-3' hydroxycotinine to cotinine in urine samples provided at wave 1. Alcohol use outcomes included past 30-day NIAAA-defined hazardous drinking status, total drinks, and alcohol-related consequences. All analyses controlled for alcohol use at Wave 1. RESULTS: NMR at Wave 1 predicted increased odds of meeting hazardous drinking criteria, adjusted odds ratio (aOR) = 1.14, 95 % CI = 1.06; 1.23, p = 0.001, greater total alcohol consumption amount, adjusted rate ratio (aRR) = 1.21, 95 % CI = 1.12; 1.30, p < 0.001, and more alcohol consequences, aRR = 1.07, 95 % CI = 1.01; 1.13, p = 0.018, at wave 2. No significant sex differences were identified. NMR remained a significant predictor of alcohol use in models controlling for severity of nicotine exposure in cigarette smokers. CONCLUSIONS: NMR may be a shared risk factor for harmful nicotine and alcohol use that contributes to their co-occurrence.

Changes in excessive alcohol use among older women across the menopausal transition: a longitudinal analysis of the Study of Women's Health Across the Nation.

BACKGROUND: Recent data suggest that excessive alcohol use is increasing among women and older adults. Such trends are concerning, as women are more vulnerable to alcohol-related health consequences, and such health problems may be exacerbated with age. Furthermore, there are sex-specific factors that may influence alcohol consumption among women, including the hormonal changes associated with the menopausal transition and negative affect. The present study sought to investigate transitions in excessive drinking among women across the menopausal transition and included exploration of sex hormones (estradiol; testosterone) and depression. METHODS: The present study utilized publicly available data from the Study of Women Across the Nation (SWAN) and included 3302 women (42-52 years old at baseline), who completed 10 years of annual assessments. National Institute on Alcohol Abuse and Alcoholism (NIAAA) criteria were used as guidance when defining excessive drinking within the present dataset. At year 1, 170 women were identified as drinking excessively. Random-effect logistic regressions were used to examine transitions in excessive drinking. RESULTS: Women identified as excessive drinkers were more likely to transition to non-excessive drinking across all menopausal transition stages (ORs range = 3.71-5.11), while women were more likely to transition from non-excessive to excessive drinking during the early peri- and postmenopausal stages (OR = 1.52 and 1.98, respectively). Higher testosterone levels were associated with a decreased likelihood of transitioning to non-excessive drinking (OR = 0.59). Depression and estradiol levels were not related to transitions in drinking. CONCLUSIONS: The present study demonstrates that the menopausal transition marks a period of instability in alcohol use among women. Further research is warranted to understand factors related to transitioning in and out of excessive drinking.