22 research outputs found

    Decision-Making as a Latent Construct and its Measurement Invariance in a Large Sample of Adolescent Cannabis Users

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    OBJECTIVE: Relative to the vast literature that employs measures of decision-making (DM), rigorous examination of their psychometric properties is sparse. This study aimed to determine whether three measures of DM assess the same construct, and to measure invariance of this construct across relevant covariates. METHOD: Participants were 372 adolescents at risk of escalation in cannabis use. DM was assessed via four indices from the Cups Task, Game of Dice Task (GDT), and Iowa Gambling Task (IGT). We used confirmatory factor analysis to assess unidimensionality of the DM construct, and moderated nonlinear factor analysis (MNLFA) to examine its measurement invariance. RESULTS: The unidimensional model of DM demonstrated good fit. MNLFA results revealed that sex influenced mean DM scores, such that boys had lower risk-taking behaviors. There was evidence of differential item functioning (DIF), such that IQ and age moderated the IGT intercept and GDT factor loading, respectively. Significant effects were retained in the final model, which produced participant-specific DM factor scores. These scores showed moderate stability over time. CONCLUSIONS: Indices from three DM tasks loaded significantly onto a single factor, suggesting that these DM tasks assess a single underlying construct. We suggest that this construct represents the ability to make optimal choices that maximize rewards in the presence of risk. Our final DM factor accounts for DIF caused by covariates, making it comparable across adolescents with different characteristics. (JINS, 2019, 25, 661-667)

    Young, American Indian or Alaskan Native, and born in the USA: at excess risk of starting extra-medical prescription pain reliever use?

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    Background Prescription pain reliever (PPR) overdoses differentially affect ‘American Indian/Alaskan Natives’ in the United States (US). Here, studying onset of extra-medical PPR use in 12-24-year-olds, we examine subgroup variations in rates of starting to use prescription pain relievers extra-medically (i.e., to get ‘high’ or for other reasons outside boundaries of prescriber’s intent). Risk differences (RD) are estimated for US-born versus non-US-born young people, stratified by American Indian/Alaskan Natives versus other ethnic self-identities. Methods Between 2002–2009, nationally representative cross-sectional samples of 12–24-year-old non-institutionalized civilians completed interviews for the US National Surveys of Drug Use and Health. Analysis-weighted annual incidence estimates, RD, and confidence intervals (CI) are from the Restricted-use Data Analysis System, an online software tool for US National Surveys of Drug Use and Health. Results Each year, an estimated 2.5% of 12-24-year-olds in the US start using PPR extra-medically (95% CI [2.1%–3.0%]). Estimates for the US-born (3.8%; 95% CI [3.7%–3.9%]) are larger (non-US-born: 1.8%; 95% CI [1.5%–2.0%]; RD = 2.0; p < 0.05). US-born American Indian/Alaskan Natives youths have the largest incidence rate (4.8%). Robust RD for US-born can be seen for ‘non-Hispanic White’ subgroups, and for others (e.g., ‘Cuban’, ‘Dominican’). Discussion Each year, one in 20 of US-born American Indian/Alaskan Natives starts using PPR extra-medically. Overdose prevention is important, but is no substitute for primary prevention initiatives for all young people. The observed epidemiological patterns can guide targeted prevention initiatives for the identified higher risk subgroups in complement with more universal prevention efforts intended to reduce incidence of first extra-medical PPR use, a crucial rate-limiting step on the path toward more serious drug involvement (i.e., progressing past initial use)

    Cannabis epidemiology: a selective review.

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    BACKGROUND: Globally, the most widely used set of compounds among the internationally regulated drugs is cannabis. OBJECTIVE: To review evidence from epidemiological research on cannabis, organized in relation to this field's five main rubrics: quantity, location, causes, mechanisms, and prevention/ control. METHOD: The review covers a selection of evidence from standardized population surveys, official statistics, and governmental reports, as well as published articles and books identified via MEDLINE, Web of Science, and Google Scholar as of July 2016. RESULTS: In relation to quantity, an estimated 3% to 5% of the world population is thought to have tried a cannabis product, with at least one fairly recent use, mainly extra-medical and outside boundaries of prescribed use. Among cannabis users in the United States, roughly one in 7-8 has engaged in medical marijuana use. In relation to location, prevalence proportions reveal important variations across countries and between subgroups within countries. Regarding causes and mechanisms of starting to use cannabis, there is no compelling integrative and replicable conceptual model or theoretical formulation. Most studies of mechanisms have focused upon a 'gateway sequence' and person-to-person diffusion, with some recent work on disability-adjusted life years. A brief review of cannabis use consequences, as well as prevention and control strategies is also provided. CONCLUSION: At present, we know much about the frequency and occurrence of cannabis use, with too little replicable definitive evidence with respect to the other main rubrics. Given a changing regulatory environment for cannabis products, new institutions such as an independent International Cannabis Products Safety Commission may be required to produce evidence required to weigh benefits versus costs. It is not clear that government-sponsored research will be sufficient to meet consumer demand for balanced points of view and truly definitive evidence

    Cannabis Epidemiology: A Selective Review

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    Racial/Ethnic Disparities in Report of Physician-Provided Smoking Cessation Advice: Analysis of the 2000 National Health Interview Survey

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    Objectives. We explored racial/ethnic disparities in reports of smoking cessation advice among smokers who had visited a physician in the previous year. Also, we examined the likelihood of receipt of such advice across Hispanic subgroups and levels of English proficiency. Methods. We analyzed data from the 2000 National Health Interview Survey. Results. Nearly half of the 5652 respondents reported receiving smoking cessation advice from their doctor. Compared with Hispanics, and after control for a range of other factors, respondents in the non-Hispanic White (adjusted odds ratio [OR]=1.57, 95% confidence interval [CI]=1.2, 2.0), non-Hispanic Black (adjusted OR=1.44, 95% CI=1.0, 2.0), and other non-Hispanic (adjusted OR=2.19, 95% CI=1.3, 3.6) groups were significantly more likely to report receiving advice. English proficiency was not associated with receipt of physician advice among Hispanic smokers. Conclusions. Some 16 million smokers in the United States could not recall receiving advice to quit smoking from their physician in the preceding year. These missed opportunities, compounded by racial/ethnic disparities such as those observed between Hispanics and other groups and between Hispanic subgroups, suggest that considerably greater effort is needed to diminish the toll stemming from smoking and smoking-related diseases

    LOPEZ-QUINTERO ET AL. RESPOND

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    Screening the “Invisible Population” of Older Adult Patients for Prescription Pain Reliever Non-Medical Use and Use Disorders

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    Background: In the United States, the number of older adults reporting non-medical use of prescription pain relievers (NMUPPR) between 2015 and 2019 has remained constant, while those meeting criteria for opioid use disorders (OUDs) between 2013 and 2018 increased three-fold. These rates are expected to increase due to increased life expectancy among this population coupled with higher rates of substance use. However, they have consistently lower screening rates for problematic prescription pain reliever use, compared to younger cohorts. Objectives: This commentary reviewed trends in older adult NMUPPR and OUDs and reviewed several available screening tools. We then considered reasons why providers may not be screening their patients, with a focus on older adults, for NMUPPR and OUDs. Finally, we provided recommendations to increase screenings in healthcare settings. Results: Low screening rates in older adult patients may be due to several contributing factors, such as providers’ implicit biases and lack of training, time constraints, and comorbid conditions that mask NMUPPR and OUD-related symptoms. Recommendations include incorporating more addiction-related curricula in medical schools, encouraging participation in CME training focused on substance use, attending implicit bias training, and breaking down the silos between pharmacy and geriatric, addiction, and family medicine. Conclusions: There is a growing need for older adult drug screenings, and we have provided several recommendations for improvement. By increasing screenings among older populations, providers will assist in the identification and referral of patients to appropriate and timely substance use treatment and resources to ultimately ameliorate the health of older adult patients
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