Cannabis reduction among adolescents as spillover from successful tobacco control.

BACKGROUND: National programs that reduce adolescent cannabis use warrant renewed attention in light of current discussions to reform cannabis legislation, including the possibility of legalization for recreational use. This study measures the size of a decrease in a country's prevalence of adolescent cannabis use that accompanies a decrease in its prevalence of adolescents who had ever smoked a cigarette. METHODS: Data are from the European School Survey Project on Alcohol and Other Drugs (ESPAD), which is a collaborative effort of more than 40 European countries to surveil adolescent substance use. This study uses data from the seven survey administrations in 1995, 1999, 2003, 2007, 2011, 2015, and 2019. The main analysis is a fixed-effect regression analysis of country-level, four-year changes in adolescent lifetime cannabis use prevalence on country-level, four-year changes in adolescent lifetime cigarette use prevalence. RESULTS: Decreases in the national prevalence of adolescents who had ever smoked a cigarette were accompanied by decreases half as large in national prevalence of adolescent lifetime cannabis use. CONCLUSION: For European countries considering the legalization of adult recreational cannabis use, tobacco control can offer a tool to help counter potential increases in cannabis use among adolescents.

Differential Relationships Between the Montreal Cognitive Assessment and Informant-Rated Cognitive Decline Among Mexican Americans and Non-Hispanic Whites.

OBJECTIVES: We compared the concurrent validity of the Montreal Cognitive Assessment (MoCA) with other cognitive screening instruments among Mexican Americans (MA) and non-Hispanic whites (NHW). METHODS: In a community-based study in Nueces county, Texas (5/2/18-2/26/20), participants 65+ with MoCA ≤25 completed the Harmonized Cognitive Assessment Protocol. Regressions examined associations between MoCA and: 1) Mini Mental State Examination (MMSE); 2) abbreviated Community Screening Interview for Dementia (CSI-D); 3) Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). RESULTS: MA (n = 229) and NHW (n = 81) differed by education but not age or sex. MoCA and cognitive performance associations (MMSE, CSI-D-Respondent) did not differ between MA and NHW (p's > .16). MoCA and informant rating associations (IQCODE, CSI-D-Informant) were stronger in NHW than MA (NHW R2 = 0.39 and 0.38, respectively; MA R2 = 0.30 and 0.28, respectively). DISCUSSION: Our findings suggest non-equivalence across cognitive screening instruments among MAs and NHWs.

Nicotine Dependence and Pre-Enlistment Suicidal Behavior Among U.S. Army Soldiers.

INTRODUCTION: Identification of modifiable risk factors for suicidal behaviors is a priority for the U.S. Army. This study investigated associations of nicotine dependence with suicidal behaviors among incoming soldiers. METHODS: Lifetime DSM-IV nicotine dependence, mental disorders, suicidal behaviors, and their ages of onset were retrospectively assessed in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) New Soldier Study. Discrete-time survival analysis of person-year data from 30,436 soldiers was performed to evaluate associations of nicotine dependence with subsequent suicidal ideation, plans, and attempts. Among respondents with lifetime ideation (n=4,060), models tested associations of nicotine dependence with progression from ideation to first onset of plan, from plan to first attempt, and, among ideators without plans, from ideation to first unplanned attempt. A hierarchy of models incorporated increasing controls for other risk factors. Data were collected in 2011-2012 and analyzed in 2017-2018. RESULTS: In models controlling for sociodemographic characteristics, nicotine dependence was associated with onset of all suicidal behaviors (AORs, 2.07-4.08, p<0.001) and with each type of progression of suicidal behavior (AORs, 1.48-2.44, p<0.005). After adjusting for childhood adversities and mental disorders, nicotine dependence remained associated with onset of ideation (AOR=1.27, 95% CI=1.10, 1.46, p=0.001) and attempt (AOR=1.83, 95% CI=1.41, 2.37, p<0.001); and with progression from ideation to unplanned attempt (AOR=2.03, 95% CI=1.17, 1.74, p<0.001). CONCLUSIONS: Nicotine dependence exhibited associations with onset of suicidal ideation and suicide attempt-and with progression from ideation to unplanned attempt-that were independent of other measured risk factors. Awareness of associations of nicotine dependence with suicidal behaviors may inform risk assessment, facilitate targeting of prevention efforts, and provide further impetus for reducing nicotine dependence.

Medical-encounter mental health diagnoses, non-fatal injury and polypharmacy indicators of risk for accident death in the US Army enlisted soldiers, 2004-2009.

Accidents are a leading cause of deaths in U.S. active duty personnel. Understanding accident deaths during wartime could facilitate future operational planning and inform risk prevention efforts. This study expands prior research, identifying health risk factors associated with U.S. Army accident deaths during the Afghanistan and Iraq war. Military records for 2004-2009 enlisted, active duty, Regular Army soldiers were analyzed using logistic regression modeling to identify mental health, injury, and polypharmacy (multiple narcotic and/or psychotropic medications) predictors of accident deaths for current, previously, and never deployed groups. Deployed soldiers with anxiety diagnoses showed higher risk for accident deaths. Over half had anxiety diagnoses prior to being deployed, suggesting anticipatory anxiety or symptom recurrence may contribute to high risk. For previously deployed soldiers, traumatic brain injury (TBI) indicated higher risk. Two-thirds of these soldiers had first TBI medical-encounter while non-deployed, but mild, combat-related TBIs may have been undetected during deployments. Post-Traumatic Stress Disorder (PTSD) predicted higher risk for never deployed soldiers, as did polypharmacy which may relate to reasons for deployment ineligibility. Health risk predictors for Army accident deaths are identified and potential practice and policy implications discussed. Further research could test for replicability and expand models to include unobserved factors or modifiable mechanisms related to high risk. PTSD predicted high risk among those never deployed, suggesting importance of identification, treatment, and prevention of non-combat traumatic events. Finally, risk predictors overlapped with those identified for suicides, suggesting effective intervention might reduce both types of deaths.

Alcohol Misuse and Co-Occurring Mental Disorders Among New Soldiers in the U.S. Army.

BACKGROUND: Problem drinking that predates enlistment into military service may contribute to the overall burden of alcohol misuse in the Armed Forces; however, evidence bearing on this issue is limited. This study examines prevalence and correlates of alcohol misuse among new U.S. Army soldiers. METHODS: Cross-sectional survey data were collected from soldiers reporting for basic combat training. The survey retrospectively assessed lifetime alcohol consumption and substance abuse/dependence, enabling estimation of the prevalence of lifetime binge drinking and heavy drinking in a sample of 30,583 soldiers and of probable alcohol use disorder (AUD) among 26,754 soldiers with no/minimal lifetime use of other drugs. Co-occurrence of mental disorders and other adverse outcomes with binge drinking, heavy drinking, and AUD was examined. Discrete-time survival analysis, with person-year the unit of analysis and a logistic link function, was used to estimate associations of AUD with subsequent onset of mental disorders and vice versa. RESULTS: Weighted prevalence of lifetime binge drinking was 27.2% (SE = 0.4) among males and 18.9% (SE = 0.7) among females; respective estimates for heavy drinking were 13.9% (SE = 0.3) and 9.4% (SE = 0.4). Among soldiers with no/minimal drug use, 9.5% (SE = 0.2) of males and 7.2% (SE = 0.5) of females had lifetime AUD. Relative to no alcohol misuse, binge drinking, heavy drinking, and AUD were associated with increased odds of all mental disorders and other adverse outcomes under consideration (adjusted odds ratios [AORs] = 1.5 to 4.6; ps < 0.001). Prior mental disorders and suicidal ideation were associated with onset of AUD (AORs = 2.3 to 2.8; ps < 0.001), and prior AUD was associated with onset of mental disorders and suicidal ideation (AORs = 2.0 to 3.2, ps < 0.005). CONCLUSIONS: Strong bidirectional associations between alcohol misuse and mental disorders were observed in a cohort of soldiers beginning Army service. Conjoint recognition of alcohol misuse and mental disorders upon enlistment may provide opportunities for risk mitigation early in a soldier's career.

Risk Factors, Methods, and Timing of Suicide Attempts Among US Army Soldiers.

IMPORTANCE: Suicide attempts in the US Army have risen in the past decade. Understanding the association between suicide attempts and deployment, as well as method and timing of suicide attempts, can assist in developing interventions. OBJECTIVE: To examine suicide attempt risk factors, methods, and timing among soldiers currently deployed, previously deployed, and never deployed at the time this study was conducted. DESIGN, SETTING, AND PARTICIPANTS: This longitudinal, retrospective cohort study of Regular Army-enlisted soldiers on active duty from 2004 through 2009 used individual-level person-month records to examine risk factors (sociodemographic, service related, and mental health), method, and time of suicide attempt by deployment status (never, currently, and previously deployed). Administrative data for the month before each of 9650 incident suicide attempts and an equal-probability sample of 153 528 control person-months for other soldiers were analyzed using a discrete-time survival framework. MAIN OUTCOMES AND MEASURES: Suicide attempts and career, mental health, and demographic predictors were obtained from administrative and medical records. RESULTS: Of the 9650 enlisted soldiers who attempted suicide, 86.3% were male, 68.4% were younger than 30 years, 59.8% were non-Hispanic white, 76.5% were high school educated, and 54.7% were currently married. The 40.4% of enlisted soldiers who had never been deployed (n = 12 421 294 person-months) accounted for 61.1% of enlisted soldiers who attempted suicide (n = 5894 cases). Risk among those never deployed was highest in the second month of service (103 per 100 000 person-months). Risk among soldiers on their first deployment was highest in the sixth month of deployment (25 per 100 000 person-months). For those previously deployed, risk was highest at 5 months after return (40 per 100 000 person-months). Currently and previously deployed soldiers were more likely to attempt suicide with a firearm than those never deployed (currently deployed: OR, 4.0; 95% CI, 2.9-5.6; previously deployed: OR, 2.7; 95% CI, 1.8-3.9). Across deployment status, suicide attempts were more likely among soldiers who were women (currently deployed: OR, 3.4; 95% CI, 3.0-4.0; previously deployed: OR, 1.5; 95% CI, 1.4-1.7; and never deployed: OR, 2.4; 95% CI, 2.3-2.6), in their first 2 years of service (currently deployed: OR, 1.9; 95% CI, 1.5-2.3; previously deployed: OR, 2.2; 95% CI, 1.9-2.7; and never deployed: OR, 3.1; 95% CI, 2.7-3.6), and had a recently received a mental health diagnosis in the previous month (currently deployed: OR, 29.8; 95% CI, 25.0-35.5; previously deployed: OR, 22.2; 95% CI, 20.1-24.4; and never deployed: OR, 15.0; 95% CI, 14.2-16.0). Among soldiers with 1 previous deployment, odds of a suicide attempt were higher for those who screened positive for depression or posttraumatic stress disorder after return from deployment and particularly at follow-up screening, about 4 to 6 months after deployment (depression: OR, 1.4; 95% CI, 1.1-1.9; posttraumatic stress disorder: OR, 2.4; 95% CI, 2.1-2.8). CONCLUSIONS AND RELEVANCE: Identifying the timing and risk factors for suicide attempt in soldiers requires consideration of environmental context, individual characteristics, and mental health. These factors can inform prevention efforts.

Impacts of Long-Term Obesity on the Health Status of Samoan and Tongan Men in the United States: Results from the Pacific Islander Health Study.

OBJECTIVE: To examine the impacts of long-standing obesity (BMIs ≥ 30.0 kg/m(2)) on health outcomes among Samoan and Tongan men (aged ≥ 18 years) in California using a life course perspective. DESIGN: Cross-sectional analysis of 103 males from the Pacific Islander Health Study (PIHS), a probability sample modeled after the National Health Interview Survey (NHIS). SETTING: Urban residential neighborhoods in San Mateo and Los Angeles counties using a multistage, cluster sample design. MAIN OUTCOME MEASURES: BMI, diabetes, hypertension, total cholesterol, smoking, drinking, arthritis, gout and migraines. RESULTS: Bivariate analysis shows high rates of poor health outcomes distributed throughout the obese and non-obese sample. Logistic analysis finds that being obese does not significantly increase observed negative health outcomes. After controlling for socio-demographic characteristics, the presence of obesity results in non-significant findings for hypertension (OR=1.02; CI: .21, 4.91), and high cholesterol (OR=.52; CI: .10, 2.73), while obesity significantly reduces the risk of diabetes by 60% (OR=.40; CI: .14, 1.17). When applying disease counts, obese men have a significantly lower risk of reporting multiple health conditions (OR=.72; CI: .52, 1.00). CONCLUSION: Overall, the health of Samoan and Tongan males in California is uniformly poor and obesity alone does not significantly increase risks of poor health outcomes. Using a life course perspective, the analysis offers new insights on the basic health of this understudied population.

Clinical reappraisal of the Composite International Diagnostic Interview Screening Scales (CIDI-SC) in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).

A clinical reappraisal study was carried out in conjunction with the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) All-Army Study (AAS) to evaluate concordance of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) diagnoses based on the Composite International Diagnostic Interview Screening Scales (CIDI-SC) and post-traumatic stress disorder (PTSD) checklist (PCL) with diagnoses based on independent clinical reappraisal interviews (Structured Clinical Interview for DSM-IV [SCID]). Diagnoses included: lifetime mania/hypomania, panic disorder, and intermittent explosive disorder; six-month adult attention-deficit/hyperactivity disorder; and 30-day major depressive episode, generalized anxiety disorder, PTSD, and substance (alcohol or drug) use disorder (abuse or dependence). The sample (n = 460) was weighted for over-sampling CIDI-SC/PCL screened positives. Diagnostic thresholds were set to equalize false positives and false negatives. Good individual-level concordance was found between CIDI-SC/PCL and SCID diagnoses at these thresholds (area under curve [AUC] = 0.69-0.79). AUC was considerably higher for continuous than dichotomous screening scale scores (AUC = 0.80-0.90), arguing for substantive analyses using not only dichotomous case designations but also continuous measures of predicted probabilities of clinical diagnoses.

An examination of adverse asthma outcomes in U.S. Adults with multiple morbidities.

RATIONALE: More Americans are managing multiple chronic conditions. Little is known regarding combinations of multiple chronic conditions with asthma. OBJECTIVES: To examine the prevalence and demographic distribution of five common chronic conditions (arthritis, heart disease, cancer, diabetes, and hypertension) in adults with and without asthma and the adverse asthma outcomes associated with multiple chronic conditions. METHODS: Cross-sectional interview data from the National Health and Nutrition Examination Survey were analyzed (n = 22,172) between 2003 and 2010. Bivariate analysis methods and multivariate generalized linear regression were used to examine associations. MEASUREMENTS AND MAIN RESULTS: Of the 10% of subjects with asthma, 54% had one or more coexisting health condition(s). The prevalence of two or three or more other chronic conditions was greater among those with asthma compared with those without (P < 0.001). Common comorbidities with asthma were hypertension (34%) and arthritis (31%). For every additional comorbid chronic condition, there was an increase in the prevalence of reported asthma symptom episodes (prevalence ratio [PR], 1.06; 95% confidence interval [CI], 1.00-1.13), frequent activity limitation (PR, 1.14; 95% CI, 1.04-1.25), sleep disturbances (PR, 1.22; 95% CI, 1.04-1.43), and emergency department visit for asthma (PR, 1.45; 95% CI, 1.19-1.76) when adjusted for socioeconomic and demographic factors and body mass index. The population-attributable risk for emergency department visits for asthma among individuals with asthma who have other chronic comorbidities was 19.5%. CONCLUSIONS: Half of the adult population with asthma in the United States suffers from comorbid conditions, which are associated with adverse asthma-related outcomes and account for up to 20% of emergency room visits for asthma.

Sample designs and sampling methods for the Collaborative Psychiatric Epidemiology Studies (CPES).

This paper provides an overview of the probability sample designs and sampling methods for the Collaborative Psychiatric Epidemiology Studies (CPES): the National Comorbidity Survey Replication (NCS-R), the National Study of American Life (NSAL) and the National Latino and Asian American Study of Mental Health (NLAAS). The multi-stage sample design and respondent selection procedures used in these three studies are based on the University of Michigan Survey Research Center's National Sample designs and operations. The paper begins with a general overview of these designs and procedures and then turns to a more detailed discussion of the adaptation of these general methods to the three specific study designs. The detailed discussions of the individual study samples focus on design characteristics and outcomes that are important to analysts of the CPES data sets and to researchers and statisticians who are planning future studies. The paper describes how the expected survey cost and error structure for each of these surveys influenced the original design of the samples and how actual field experience led to changes and adaptations to arrive at the final samples of each survey population.