Reasons for contacting a crisis line and the initiation of emergency dispatches.

OBJECTIVE: To better understand processes of mental health crisis line utilization by examining associations between reasons for contacting a crisis line with the initiation of emergency dispatches (i.e., activation of 911 or local emergency services) in a national sample. METHODS: Contacts (i.e., calls, texts, email, and chats) to the Veterans Crisis Line (VCL) across 2017-2020 were used to examine associations among stated reasons for the contact and the use of an emergency dispatch. Hierarchical logistic regression models were used to determine the odds of an emergency dispatch by reason for the contact. RESULTS: Suicidal thoughts/crisis were present in 61.5% of contacts that ended in emergency dispatches and were associated with the largest adjusted odds of a dispatch, (Adjusted Odds Ratio [AOR] [95% CI] = 9.34 [9.21, 9.48]), followed by homicidal thoughts/crisis (AOR [95% CI] = 3.84 [3.73, 3.95]), and third-party concerns (AOR [95% CI] = 2.42 [2.37, 2.47]). Substance use/ addiction (AOR [95% CI] = 2.14 [2.10, 2.18]), abuse and violence (AOR [95% CI] = 1.89 [1.82, 1.96]), and physical health (AOR [95% CI] = 1.87 [1.84, 1.91]) were also associated with increased odds of a dispatch. CONCLUSIONS: Emergency dispatches are primarily used in response to imminent suicide risk but are also used in other potentially violent or lethal circumstances such as homicides, violence or abuse, and other crises. These findings highlight the role that crisis lines play in emergency service delivery, and the need to better understand how they are utilized under real world circumstances.

Adverse Surgical Outcomes Linked to Co-occurring Smoking and Risky Alcohol Use Among General Surgery Patients.

OBJECTIVE: To assess associations between co-occurring preoperative smoking and risky alcohol use on the likelihood of adverse surgical outcomes. BACKGROUND: Risky alcohol use and smoking are the known surgical risk factors with a high co-occurrence and additive adverse effects on multiple organ systems that impact surgical health, yet no research has evaluated the impact of co-occurrence on surgical outcomes. METHODS: This investigation analyzed 200,816 patients from the Michigan Surgical Quality Collaborative database between July 1, 2012, to December 31, 2018. Patients were classified based on past year risky alcohol use (>2 drink/day) and cigarette smoking into 4 groups: (1) risky alcohol and smoking, (2) risky alcohol only, (3) smoking only, and (4) no risky alcohol/smoking. We fitted logistic regression models, applying propensity score weights incorporating demographic, clinical, and surgical factors to assess associations between alcohol and smoking and 30-day postoperative outcomes; surgical complications, readmission, reoperation, and emergency department (ED) visits. RESULTS: Risky alcohol and smoking, risky alcohol only, and smoking only were reported by 2852 (1.4%), 2840 (1.4%), and 44,042 (22%) patients, respectively. Relative to all other groups, the alcohol and smoking group had greater odds of surgical complications, readmission, and reoperation. Relative to the no alcohol and smoking group, the alcohol only group higher odds of reoperation and smoking only group had higher odds of emergency department visits. CONCLUSIONS: The combination of smoking and risky drinking conferred the highest likelihood of complications, readmission, and reoperation before surgery. Co-occurring alcohol and smoking at the time of surgery warrants special attention as a patient risk factor and deserves additional research.

The Prevalence and Incidence of Attention-deficit/Hyperactivity Disorder in the Veterans Health Administration From 2009 to 2016.

BACKGROUND: The prevalence and incidence of attention-deficit/hyperactivity disorder (ADHD) have increased substantially among children and adolescents over the past decade; however, little is known regarding trends in adult populations. OBJECTIVE: The objective of this study was to explore trends in the prevalence, incidence, and correlates of adult ADHD in a national sample of veterans receiving care at Veteran Affairs (VA) hospitals and clinics. RESEARCH DESIGN: A retrospective design was used to examine ADHD diagnosed in all VA primary care (PC) and mental health clinics (MHCs) from fiscal years (FYs) 2009 to 2016. Age-adjusted prevalence and incidence were calculated using direct standardization, and Poisson regressions modeled differences in trends between demographic groups. SUBJECTS: All veterans with VA PC or MHC visits during the observation period. MEASURES: ADHD incidence and prevalence, psychiatric comorbidity, neuropsychological evaluation. RESULTS: An annual average of 5.09 million (range: 4.63-5.42 million) VA patients attended a PC or MHC appointment between FY09 and FY16. During this period, age-adjusted annual prevalence increased 258% from 0.23% to 0.84% and incidence increased 240% from 0.14% to 0.48%. Black veterans and older veterans had the lowest prevalence and incidence across all years. Increases in prevalence and incidence occurred across all demographic subgroups. The proportion of patients who had a neuropsychological evaluation within 6 months before or after a new ADHD diagnosis decreased from 12.6% to 10.8% [χ(1)=16.59, P<0.001]. CONCLUSION: Overall increases and demographic differences in adult veterans diagnosed with ADHD suggest a growing need to establish the reliability of diagnostic practices to ensure appropriate and equitable care.

Effectiveness of tobacco cessation pharmacotherapy in the Veterans Health Administration.

INTRODUCTION: In 2003, the Veterans Health Administration (VHA) implemented a directive that cessation pharmacotherapy be made available to all who use tobacco and are interested in quitting. Despite the efficacy of cessation pharmacotherapy shown in clinical trials, the generalisability of the results in real-world settings has been challenged. Hence, the specific aim of this study was to determine the effectiveness of cessation pharmacotherapies in the VHA. METHODS: This retrospective cohort study used VHA's electronic medical record data to compare quit rates among those who use tobacco and who did vs. did not receive any type of cessation pharmacotherapy. Included were 589 862 Veterans identified as current tobacco users during fiscal year 2011 who had not received cessation pharmacotherapy in the prior 12 months. Following a 6-month period to assess treatment, quit rates among those who were treated versus untreated were compared during the 7-18 months (12 months) post-treatment follow-up period. The estimated treatment effect was calculated from a logistic regression model adjusting for inverse probability of treatment weights (IPTWs) and covariates. Marginal probabilities of quitting were also obtained among those treated versus untreated. RESULTS: Adjusting for IPTWs and covariates, the odds of quitting were 24% higher among those treated versus untreated (OR=1.24, 95% CI 1.23 to 1.25, p<0.001). The marginal probabilities of quitting were 16.7% for the untreated versus 19.8% for the treated based on the weighted model. CONCLUSION: The increased quit rates among Veterans treated support the effectiveness and continuation of the VHA tobacco cessation pharmacotherapy policy.

Traumatic Brain Injury in the General Population: Incidence, Mental Health Comorbidity, and Functional Impact.

Traumatic brain injury (TBI) is a relatively prevalent and burdensome condition with significant public health cost; however, epidemiological studies of TBI in the United States have rarely used nationally representative samples or included measures of functioning. Data were obtained from the third wave of the National Epidemiological Survey on Alcohol and Related Conditions. Of the 36,309 individuals surveyed, 193 (0.53% weighted) reported a past-year TBI. Results from weighted logistic regression modeling indicated that prior active duty military status, mood disorders, posttraumatic stress disorder, and nicotine use disorders were associated with greater odds of TBI. Annual household income greater than $20,000 was associated with lower odds of TBI. Regarding functioning, TBI was associated with greater impairment on SF-12 scales measuring mental and physical health and the organization subscale of the Executive Function Index. Results suggest that many individuals in the US population experience TBI each year and that such injuries are associated with impairment across multiple domains.

Trends and Patient Characteristics Associated with Tobacco Pharmacotherapy Dispensed in the Veterans Health Administration.

Introduction: There is evidence suggesting that certain subgroups of people who use tobacco do not receive tobacco pharmacology as consistently as others. Methods: This retrospective, cohort study examined the trend in the use of cessation pharmacotherapy from 2004 to 2013 using Veterans Health Administration (VHA) administrative data. Among Veterans who used tobacco in the fiscal year (FY) 2011 and had not received pharmacotherapy in the prior year, multivariable Cox regression was used to assess the independent associations between patient clinical and demographic characteristics and pharmacotherapy initiation in the 6-months follow-up period. Results: Smoking cessation pharmacotherapy in the VHA increased from 13.8% in 2004 to 25.6% in 2013. In 2011, Veterans (N = 838309) who were more likely to newly receive pharmacotherapy included those with psychiatric disorders (depression, bipolar disorder, non-alcohol substance use disorder, other anxiety, and post-traumatic stress disorder), chronic pulmonary disease, peripheral vascular disorders, and younger Veterans (adjusted rate ratios (ARRs) ranged from 1.03 to 1.92, all p < .001). Veterans less likely to receive pharmacotherapy were those with schizophrenia or other psychosis, males, Hispanics, and those with a medical condition (uncomplicated diabetes, uncomplicated hypertension, fluid and electrolyte disorders, cardiac arrhythmia, valvular disease, hypothyroidism, acquired immunodeficiency syndrome/human immunodeficiency virus, deficiency anemia, renal failure, paralysis, coagulopathy, metastatic cancer, and other neurological disorders) (ARRs ranged from 0.74 to 0.93, all p < .001). Conclusions: Although VHA cessation pharmacotherapy use nearly doubled from 13.8% in 2004 to 25.6% in 2013, reaching undertreated subgroups, especially those with medical comorbidities, may improve cessation outcomes. Implications: Despite evidence that demographics influence the use of pharmacotherapy in smoking cessation, there is limited and contradictory information regarding how psychiatric and chronic medical illnesses affect pharmacotherapy use. Administrative data were used to determine trends and patient characteristics of those receiving pharmacotherapy to aid in smoking cessation in the Veterans Health Administration. From 2004 to 2013, pharmacotherapy use increased from 13.8% to 25.6% of current smokers. Factors associated with increased pharmacotherapy initiation were psychiatric disorders, chronic pulmonary disease, peripheral vascular disorders, and younger age. Veterans with schizophrenia or other psychosis, males, Hispanics, and most medical conditions were less likely to receive pharmacotherapy.

Dual Trajectories of Depression/Anxiety Symptoms and Alcohol Use, and their Implications for Violence Outcomes Among Drug-Using Urban Youth.

AIM: To examine dual trajectories of anxiety/depression symptoms and alcohol use among drug-using youth seeking care from an urban emergency department (ED), their baseline correlates and co-occurring trajectories of severe violence. SHORT SUMMARY: There were five characteristic dual trajectories of alcohol use and depression/anxiety symptoms. Community violence exposure was highest among individuals with high-depression/anxiety symptom trajectories. Individuals with concurrently high-alcohol use and depression/anxiety symptom trajectories reported that the most delinquent peer affiliations, and had the highest rates of severe violence over time. METHODS: We analyzed data from 599 drug-using (primarily marijuana) youth ages 14-24 (349 assault-injured) recruited from December 2009 to September 2011 into a 24-month longitudinal study at a Level-1 ED in Flint, Michigan. Youth self-reported substance use, depression and anxiety symptoms, peer/parental behaviors, and severe violence involvement at baseline and four biannual follow-up assessments. Bivariate latent trajectory models identified homogeneous groups with similar trajectories on alcohol use and anxiety/depression symptoms; we compared baseline characteristics of each trajectory group and concurrent trajectories of severe violence (victimization and aggression). RESULTS: Our model identified five trajectory groups: Low drinking/No symptoms (LN; 10.4%; n = 62), No drinking/Moderate symptoms (NM; 15.7%; n = 94), Low drinking/Moderate symptoms (LM; 30.2%; n = 181), Low drinking/High symptoms (LH; 16.4%; n = 98) and High drinking/High symptoms (HH; 27.5%; n = 164). The HH group was characterized by more delinquent peer associations, and rates of community violence were higher among the high symptom groups. The HH group had the highest severe violence perpetration and victimization rates across time points; the LH group had similar violence rates to the LM and NM groups and the LN group had the lowest violence rates across time. CONCLUSIONS: Among drug-using youth, alcohol use interventions could benefit from a focus on peer influences, and those with a joint focus on violence involvement may be improved via inclusion of content related to mental health and community violence exposure.

Longitudinal patterns of PTSD symptom classes among US National Guard service members during reintegration.

PURPOSE: The purpose of this study was to identify posttraumatic stress disorder (PTSD) symptom groups and assess their longitudinal progression during their first year of reintegration among United States (US) National Guard (NG) service members. METHODS: A cohort of NG service members (n = 886) completed surveys at 6 and 12 months following their return from deployment to Iraq or Afghanistan. Latent class analysis (LCA) and latent transition analysis (LTA) were used to empirically derive groups based on their PTSD symptoms and examine their longitudinal course, respectively. RESULTS: The best fitting model at both assessments was the four-class model, comprising an asymptomatic class (6 months = 54%; 12 months = 55%), a mild symptom class with elevated hyperarousal symptoms (6 months = 22%; 12 months = 17%), a moderate symptom class (6 months = 15%; 12 months = 15%), and a severe symptom class (6 months = 10%; 12 months = 13%). Based on LTA, stability of class membership at the two assessments was 0.797 for the asymptomatic class, 0.453 for the mild class, 0.560 for the moderate class, and 0.580 for the severe class. Estimated transition probabilities were greater with respect to transitioning to less severe, rather than more severe, classes over time. CONCLUSIONS: The four latent PTSD classes were distinguished primarily by severity; however, the mild symptom class was characterized by higher levels of hyperarousal than other symptoms. Although the absolute number of individuals within classes remained fairly constant between 6 and 12 months, there was movement between severity classes. Most NG service members without symptoms continued to do well during the first year, with only an estimated 7% moving to the moderate or severe class.

Documentation of Evidence-Based Psychotherapy and Care Quality for PTSD in the Department of Veterans Affairs.

This study measured the prevalence of evidence-based psychotherapy (EBP) templated notes in VA and tested the hypothesis that template use would be associated with care quality for posttraumatic stress disorder (PTSD). Across 130 facilities, an average of 3.6% of patients with a PTSD diagnosis received at least one EBP template in 2015. Among patients receiving psychotherapy for PTSD, an average of 8.5% received an EBP template. In adjusted models, facility-level EBP template use was associated with a greater proportion of PTSD-diagnosed patients treated in specialty clinics, greater facility-level rates of diagnostic assessment, and greater facility-level rates of psychotherapy adequacy.

Predictors of PTSD Symptom Change Among Outpatients in the U.S. Department of Veterans Affairs Health Care System.

Although the U.S. Department of Veterans Affairs (VA) has prioritized care for posttraumatic stress disorder (PTSD), many patients with PTSD remain symptomatic. Patterns of PTSD symptom change are not well understood. Thus, the current study was designed to categorize and investigate potential predictors of symptom trajectories in patients with PTSD. The sample comprised 2,237 VA patients who were diagnosed with PTSD in 2013 and completed at least 4 PTSD Checklist (PCL) assessments over 12 weeks. Latent trajectory analysis was used to identify latent classes of patients based on PCL scores. Based on model fit indices, 3 trajectories were identified. Compared to patients in the mild-improving trajectory (21.9%), those in the severe-stable trajectory (34.3%) were more likely to be male, relative risk ratio (RRR) = 1.48, 95% CI [1.08, 2.02]; non-White, RRR = 1.77, 95% CI [1.33, 2.35]; Hispanic, RRR = 2.07, 95% CI [1.40, 3.04]; and have comorbid depression, RRR = 1.58, 95% CI [1.25, 1.99]. Compared to patients in the moderate-improving trajectory (43.8%), those in the severe-stable trajectory were more likely to have sleep disorders, RRR = 1.25, 95% CI [1.01, 1.55]. Our findings suggest that male veterans, minority veterans, and veterans with certain comorbid conditions may be less likely to achieve improved PTSD symptoms. Targeted efforts are needed to improve outcomes for PTSD patients on nonremitting trajectories and to improve the consistency of PTSD assessment across the VA health care system.

Suicide mortality among male veterans discharged from Veterans Health Administration acute psychiatric units from 2005 to 2010.

PURPOSE: The purpose of this study was to calculate suicide rates and identify correlates of risk in the year following discharge from acute Veterans Health Administration psychiatric inpatient units among male veterans discharged from 2005 to 2010 (fiscal years). METHODS: Suicide rates and standardized mortality ratios were calculated. Descriptive analyses were used to describe suicides and non-suicides and provide base rates for interpretation, and unadjusted and adjusted proportional hazard models were used to identify correlates of suicide. RESULTS: From 2005 to 2010, 929 male veterans died by suicide in the year after discharge and the suicide rate was 297/100,000 person-years (py). The suicide rate significantly increased from 234/100,000 py (95% CI = 193-282) in 2005 to 340/100,000 py (95% CI = 292-393) in 2008, after which it plateaued. Living in a rural setting, HR (95% CI) = 1.20 (1.05, 1.36), and being diagnosed with a mood disorder such as major depression, HR (95% CI) = 1.60 (1.36, 1.87), or other anxiety disorder, HR (95% CI) = 1.52 (1.24, 1.87), were associated with increased risk for suicide. CONCLUSIONS: Among male veterans, the suicide rate in the year after discharge from acute psychiatric hospitalization increased from 2005 to 2008, after which it plateaued. Prevention efforts should target psychiatrically hospitalized veterans who live in rural settings and/or are diagnosed with mood or other anxiety disorders.

Alcohol Screening and Intervention Among United States Adults who Attend Ambulatory Healthcare.

BACKGROUND: There is limited data on the extent to which indicated alcohol interventions are delivered in U.S. ambulatory care settings. OBJECTIVE: To assess the receipt of alcohol-related services, including assessment of use, advice to reduce drinking, and information about alcohol treatment, during ambulatory care visits. DESIGN: Secondary data analysis of the 2013 National Survey on Drug Use and Health, a cross-sectional, nationally representative survey of civilians in the non-institutionalized U.S. general population (response rate 71.7 %). PARTICIPANTS: Adult ambulatory care users in the public use data file who did not obtain emergency or inpatient services (n = 17,266). MAIN MEASURES: Measurements included respondents' alcohol consumption, heavy episodic drinking, alcohol use disorder, healthcare use, and receipt of alcohol-related interventions. KEY RESULTS: Approximately 71.1 % of ambulatory care users received an alcohol assessment. Among past-month heavy episodic drinkers without an alcohol use disorder who reported receiving an alcohol assessment, 4.4 % were advised to cut back. Among individuals with alcohol abuse and alcohol dependence who reported receiving an alcohol assessment, 2.9 % and 7.0 %, respectively, were offered information about treatment. CONCLUSIONS: Rates of alcohol screening and assessment were relatively high among adults who attended healthcare visits, but rates of intervention were low, even when individuals were assessed for use. Efforts are needed to expand delivery of interventions when patients are identified as positive for risky drinking, hazardous alcohol use, and alcohol use disorders during ambulatory care visits.

Latent class analysis of substance use among adolescents presenting to urban primary care clinics.

BACKGROUND: Polysubstance use during adolescence is a significant public health concern. However, few studies have investigated patterns of substance use during this developmental window within the primary care setting. OBJECTIVES: This study used an empirical method to classify adolescents into substance use groups, and examines correlates of the empirically defined groups. METHODS: Data came from patients, ages 12-18 years, presenting to an urban, primary care community health clinics (Federally Qualified Health Centers) in two cities in the Midwestern United States (n = 1664). Latent class analysis (LCA) was used to identify classes of substance users. Multinomial logistic regression was used to examine variables associated with class membership. RESULTS: LCA identified three classes: class 1 (64.5%) exhibited low probabilities of all types of substance use; class 2 (24.6%) was characterized by high probabilities of cannabis use and consequences; and class 3 (10.9%) had the highest probabilities of substance use, including heavy episodic drinking and misuse of prescription drugs. Those in class 2 and class 3 were more likely to be older and have poorer grades, poorer health, higher levels of psychological distress and more sexual partners than those in class 1. Individuals in class 3 were also less likely to be African-American than those in class 1. CONCLUSION: Findings provide novel insight into the patterns of substance use among adolescents presenting to low-income urban primary care clinics. Future research should examine the efficacy of interventions that address the complex patterns of substance use and concomitant health concerns among adolescents.

Where Do Adults in the United States Obtain Cannabis? A Nationally Representative Study Examining the Relationships Between Sociodemographic Factors, Cannabis Use Characteristics and Sources of Cannabis.

OBJECTIVE: Characterization of population subgroups based on where they acquire cannabis is unexplored. We examine relationships between sociodemographic characteristics, cannabis use modality, risky cannabis use, and source of cannabis. METHOD: Analyzing a representative sample (unweighted n = 8,089) of U.S. adults living in medical cannabis-permitting states with past-year cannabis use from the 2021 National Survey on Drug Use and Health, we determined source of last cannabis used. Outcome groups were purchased from a dispensary, purchased from another source, or nonpurchased source. Incorporating the complex survey design, descriptive statistics and adjusted multinomial logistic regressions evaluated associations between sociodemographic, individual cannabis use characteristics, and source of cannabis. Secondary analyses described cannabis purchasing characteristics among the subsample who last purchased cannabis. RESULTS: Purchasing from a dispensary was the most common source of cannabis (42.5%). Significant relationships between sociodemographic characteristics, cannabis use modality, risky cannabis use, and source of cannabis were found. Recent cannabis initiates and those with cannabis vaporizer use had an increased likelihood of purchasing cannabis from a dispensary. Purchasing from a nondispensary source was most likely among those with daily cannabis use, past-month blunt use, past-year driving under the influence, cannabis use disorder, and cannabis and alcohol co-use. Among those purchasing cannabis, joints and other forms of cannabis were more likely to be purchased from a dispensary than purchased from other sources. CONCLUSIONS: We identified key sociodemographic and cannabis use characteristics that may influence where individuals obtain cannabis, which are important for cannabis behavior surveillance and cannabis use prevention and intervention strategies to consider.

Psychiatric diagnoses, somatic disorders, and emergency dispatches among individuals who used a national suicide crisis line.

Crisis line responders initiate emergency dispatches by activating 911 or other local emergency services when individuals are determined to be at imminent risk for undesired outcomes. This study examined the association of characteristics, psychiatric diagnoses, and somatic symptoms with emergency dispatches in a national sample. Veterans Crisis Line data were used to identify contacts (i.e., calls, texts, chats, emails) that were linked with medical records and had a medical encounter in the year prior to contact. Hierarchical logistic regression clustered by responders was used to identify the association among demographics, psychiatric diagnoses, and somatic disorders, and emergency dispatches. Analyses examined 247,340 contacts from 2017 to 2020, with 27,005 (10.9%) emergency dispatches. Odds of an emergency dispatch increased with each diagnosis (three diagnoses Adjusted Odds Ratio [AOR] (95% CI) = 1.88 [1.81,1.95]). Odds were highest among individuals with substance use disorders (SUD) (alcohol AOR (95% CI) = 1.85 [1.80,1.91]; drugs AOR (95% CI) = 1.63 [1.58, 1.68]), which may be a result of intoxication or overdose during contact, requiring further research. Having more psychiatric and somatic conditions was associated with greater odds of an emergency dispatch, indicating that comorbidity contributed to the need for acute care.

Integrated care: treatment initiation following positive depression screens.

BACKGROUND: Primary Care-Mental Health Integration (PC-MHI) may improve mental health services access and continuity of care. OBJECTIVE: To assess whether receipt of integrated PC-MHI services on the date of an initial positive depression screen influences receipt of depression treatment among primary care (PC) patients in the Veterans Health Administration. DESIGN: Retrospective cohort study. SUBJECTS: Thirty-six thousand, two hundred and sixty-three PC patients with positive depression screens between October 1, 2009 and September 30, 2010. MAIN MEASURES: Subjects were assessed for depression diagnosis and initiation of antidepressants or psychotherapy on the screening day, within 12 weeks, and within 6 months. Among individuals with PC encounters on the screening day, setting of services received that day was categorized as PC only, PC-MHI, or Specialty Mental Health (SMH). Using multivariable generalized estimating equations (GEE) logistic regression, we assessed likelihood of treatment initiation, adjusting for demographic and clinical measures, including depression screening score. KEY RESULTS: Patients who received same-day PC-MHI services were more likely to initiate psychotherapy (OR: 8.16; 95 % CI: 6.54-10.17) and antidepressant medications (OR: 2.33, 95 % CI: 2.10-2.58) within 12 weeks than were those who received only PC services on the screening day. CONCLUSIONS: Receipt of same-day PC-MHI may facilitate timely receipt of depression treatment.

Driving under the influence of cannabis, alcohol, and illicit drugs among adults in the United States from 2016 to 2020.

OBJECTIVE: Driving under the influence (DUI) of substances increases motor vehicle crash risk. Understanding current national trends of driving under the influence of alcohol (DUIA), cannabis (DUIC), and drugs other than cannabis (DUID) can inform public health efforts. Herein, we provide updated trends among United States (US) adults regarding DUIA, DUIC, DUID, and DUI of any substance. METHOD: We used nationally-representative National Survey on Drug Use and Health (2016-2020) data to derive prevalence estimates of past-year DUIC, DUIA, DUID, and DUI of any substance among non-institutionalized US adults and among those reporting respective past-year  substance use. Prevalence estimates and adjusted logistic regressions characterized temporal trends of these behaviors among US adults, among those with respective past-year substance use, and among stratified demographic subpopulations. RESULTS: Over 1 in 10 US adults reported DUI of any substance annually from 2016 to 2020.DUIA was most prevalent among all US adults (8.7% in 2017); however, this behavior is decreasing (AOR:0.96; 95%CI:0.94,0.98). No change in DUIC among the US adult population was found, but a decrease was found among those with past-year cannabis use (AOR:0.95; 95%CI:0.93,0.98), which coincided with a 29.1% increase in past-year cannabis use. There were no significant changes in overall DUID; however, females, those ages 26-34 and 65 or older with past-year use displayed increasing trends. DUI of any substance decreased among the US adult population. CONCLUSIONS: DUI remains a salient public health concern in the US and results indicate population subgroups who may benefit from impaired driving prevention interventions.

Cannabis smoking, tobacco cigarette smoking, and adenomyosis risk.

OBJECTIVE: To investigate cannabis smoking and tobacco cigarette smoking in relation to adenomyosis risk. DESIGN: We used data from a case-control study of adenomyosis conducted among enrollees ages 18-59 years of an integrated health care system in Washington State. The case-control study used 2 control groups given the challenge of selecting noncases when cases are diagnosed by hysterectomy. SUBJECTS: Cases (n = 386) were enrollees with incident, pathology-confirmed adenomyosis diagnosed between April 1, 2001, and March 31, 2006. The 2 control groups comprised hysterectomy controls (n = 233) with pathology-confirmed absence of adenomyosis and population controls (n = 323) with an intact uterus selected randomly from the health care system population and frequency matched to cases on age. EXPOSURE: Detailed data on cannabis and tobacco cigarette smoking history were ascertained through in-person structured interviews, allowing estimation of joint-years of cannabis smoking and pack-years of tobacco cigarette smoking. MAIN OUTCOME MEASURES: Odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between cannabis smoking, tobacco cigarette smoking, and adenomyosis were estimated using multivariable unconditional logistic regression. Analyses were adjusted for age, reference year, menarche age, education, and pack-years of cigarette smoking (or joint-years of cannabis smoking). RESULTS: No association was observed between cannabis smoking history and adenomyosis risk. However, we did observe the suggestion of an association between ever tobacco cigarette smoking and adenomyosis risk, comparing cases to hysterectomy controls (OR, 1.3; 95% CI, 0.9-1.9) and population controls (OR, 1.2; 95% CI, 0.8-1.8). Our data suggested a 50% increased odds of adenomyosis with >15 pack-years of smoking (vs. never smoking), comparing cases to hysterectomy controls (OR, 1.5; 95% CI, 0.9-2.6; Ptrend=.135). The suggestion of a 40% increased adenomyosis odds was observed with smoking >5-15 pack-years (vs. never smoking), comparing cases to population controls (OR, 1.4; 95% CI, 0.8-2.4; Ptrend=0.136). CONCLUSION: In the first study of cannabis smoking and adenomyosis risk, no association was observed. However, our data suggested an increased odds of adenomyosis with history of tobacco cigarette smoking. Further research is warranted to replicate our results given the substantial morbidity with adenomyosis and frequency of cigarette smoking and recreational and medical cannabis use.

Analysis of veterans crisis line data: Temporal factors associated with the initiation of emergency dispatches.

PURPOSE: To identify temporal patterns of emergency dispatches as initiated by Veteran Crisis Line (VCL) responders and among moderate- and high-risk contacts. METHODS: Incidence rate ratios (IRRs) were used to examine the incidence of emergency dispatches among all 1,437,543 VCL contacts across 2019-2020. RESULTS: Emergency dispatches were initiated in 57,077 (4.0%) contacts. IRRs were elevated during Labor Day, IRR (95% CI) = 1.33 (1.15-1.54), and Independence Day, IRR (95% CI) = 1.22 (1.05-1.43), weekends, Saturdays, IRR (95% CI) = 1.04 (1.01-1.08), Sunday (reference), and 6 pm to 11:59 pm, IRR (95% CI) = 1.06 (1.04-1.09). IRRs for moderate- and high-risk contacts were higher on Memorial Day, IRR (95% CI) = 1.16 (1.00-1.33), Sunday (reference), and 6 pm to 11:59 pm (reference). CONCLUSIONS: The initiation of emergency dispatches fluctuates over time and were highest during Labor Day and Independence Day, weekends, and evenings. Moderate- and high-risk contact also fluctuate over time and were highest on Memorial Day, Sundays, and midnight to 5:59 am. VCL policy makers can use knowledge of temporal fluctuations to allocate public health resources for increased efficiency and greatest impact; however, additional research on temporal stability and generalizability is needed.