Dataset Information

Population-level predictions from cannabis risk perceptions to active cannabis use prevalence in the United States, 1991-2014.

ABSTRACT: INTRODUCTION:A mosaic of evidence links risk perceptions with drug use in adolescence, including population summaries to guide public health campaigns, as well as subject-specific estimates on preventing an adolescent's drug use by manipulating that individual's prior risk perceptions. We re-visit these issues with a public health perspective, asking whether population-level cannabis risk perceptions of school-attending adolescents at one grade level might predict cannabis use prevalence two and four grade levels later. METHODS:From 1991 to 2014, each year's United States "Monitoring the Future" (MTF) study population included 8th-, 10th-, & 12th-graders. Two and four years later, statistically independent school samples of the same cohorts were drawn and assessed (n?~?16,000/year). Population-level modeling estimated cannabis use prevalence at time "t" (12th-grade) regressed on that same cohort's cannabis risk perceptions as had been measured at time "t-4" (8th-grade) and time "t-2" (10th-grade). RESULTS:Higher cannabis risk perception levels for 10th-graders predict lower cannabis use prevalence when 10th-graders have become 12th-graders (??=-0.12), and higher cannabis risk perception levels of 8th-graders predict lower cannabis prevalence when 8th-graders have become 10th-graders (??=-0.27); p-values?

SUBMITTER: Parker MA

PROVIDER: S-EPMC5879017 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Population-level predictions from cannabis risk perceptions to active cannabis use prevalence in the United States, 1991-2014.

Parker Maria A MA Anthony James C JC

Addictive behaviors 20180226

<h4>Introduction</h4>A mosaic of evidence links risk perceptions with drug use in adolescence, including population summaries to guide public health campaigns, as well as subject-specific estimates on preventing an adolescent's drug use by manipulating that individual's prior risk perceptions. We re-visit these issues with a public health perspective, asking whether population-level cannabis risk perceptions of school-attending adolescents at one grade level might predict cannabis use prevalence ...[more]

PMID: 29505985

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Project description:AimsTo estimate trends in the prevalence of cannabis use and risk perceptions of cannabis use from 2005 to 2017 among United States people with and without depression.DesignLinear time trends of the prevalence of any, daily and non-daily past 30-day cannabis use and perceived great risk associated with regular cannabis use (outcome variables) among people with and without past-year depression were assessed using logistic regression with survey year as the predictor. All analyses were adjusted for gender, age, race/ethnicity and income; models assessing time trends of cannabis use prevalence were also adjusted for perceived risk.SettingThe United States: National Survey on Drug Use and Health, an annual cross-sectional survey, 2005-17 public use data files.ParticipantsA total of 728 691 people aged ≥ 12 years.MeasurementsSelf-report of any, daily and non-daily past 30-day cannabis use and perceived great risk associated with regular cannabis use.FindingsThe prevalence of any, daily and non-daily cannabis use in the past month was higher among those with depression versus those without [e.g. 2017 for any use: 18.94 versus 8.67%; adjusted odds ratio (aOR) = 2.17 (95% confidence interval (CI) = 1.92, 2.45)]. Any, daily and non-daily cannabis use increased among people with and without depression from 2005 to 2017, yet the increase in any (aORs = 1.06 versus 1.05; P = 0.008) and daily (aORs = 1.10 versus 1.07; P = 0.021) cannabis use adjusted for socio-demographic characteristics was more rapid among those with depression. Perception of great risk associated with regular cannabis use was significantly lower among those with depression (P < 0.001) and decreased significantly more rapidly over the study period among people with depression, compared with those without (aORs = 0.89 versus 0.92; P < 0.001).ConclusionsThe prevalence of cannabis use in the United States increased from 2005 to 2017 among people with and without depression and was approximately twice as common among those with depression. People with depression experienced a more rapid decrease in perception of risk, which may be related to the more rapid increase in any and daily past-month cannabis use in this group.

Project description:ImportanceIncome disparity between persons with the most resources (the top 20% of earners) and the remainder of the population in the United States has dramatically widened over the past few decades. Given the well-established association between income and health, this increasing income gap may provide insights into the dynamics of cardiovascular disease (CVD) burden among adults in the US.ObjectiveTo quantify the contribution of people in the highest-resources group and the remainder of the population to the burden of CVD, and to estimate the trends in the prevalence of CVD for the 2 groups in the United States from 1999 to 2016.Design, setting, and participantsThis serial cross-sectional analysis used nationally representative data from 9 cycles of the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2016. Survey participants were adults 20 years or older. Statistical analysis of the data was conducted in December 2019.Main outcomes and measuresAge-standardized prevalence of CVD was calculated using the 2010 census estimates. Participants were stratified by income group using the NHANES income to poverty ratio, which was converted into a binary variable: a ratio of 5 or greater for the highest-resources group and a ratio of less than 5 for the remainder of the population.ResultsThis analysis included 44 986 participants. Among the 7926 participants in the highest-resources group, 3290 (50.3%) were in the 40- to 59-year age group and 4094 (51.9%) were men. Among the 37 060 participants in the remainder of the population, 10 840 (34.1%) were in the 40- to 59-year age group and 19 470 (53.2%) were women. The age-standardized prevalence of CVD decreased in the highest-resources group during the study period (1999-2016): angina from 3.4% (n = 24) to 0.3% (n = 5), heart attack from 3.2% (n = 24) to 1.4% (n = 19), congestive heart failure (CHF) from 1.2% (n = 11) to 0.5% (n = 7), and stroke from 1.1% to 1.0% (n = 8). In the remainder of the population, the prevalence of angina decreased from 3.3% (n = 131) in 1999 to 2.6% (n = 118) in 2016 and heart attack from 4.0% (n = 160) in 1999 to 3.6% (n = 201) in 2016. Conversely, an increase was observed in the prevalence of CHF from 2.6% (n = 123) in 1999 to 2.8% (n = 176) in 2016 and stroke from 2.9% (n = 152) in 1999 to 3.2% (n = 178) in 2016. Over time, the odds of reporting angina (odds ratio [OR], 0.80; 95% CI, 0.73-0.87; P < .001), heart attack (OR, 0.91; 95% CI, 0.86-0.97; P = .003), and CHF (OR, 0.90; 95% CI, 0.82-0.99; P = .03) decreased among those in the highest-resources group, while there was no significant change in the odds of reporting stroke (OR, 0.97; 95% CI, 0.90-1.05; P = .43). Among the remainder of the population, the odds of reporting angina (OR, 0.95; 95% CI, 0.92-0.99; P < .05) and heart attack (OR, 0.99; 95% CI, 0.97-1.02; P = .06) decreased over time. Conversely, there was no statistically significant change in the odds of reporting CHF (OR, 1.02; 95% CI, 1.00-1.05; P = .08) and stroke (OR, 1.02; 95% CI, 0.99-1.04; P = .21).Conclusions and relevanceThis study found substantial and increasing disparities in CVD prevalence between the richest and poorest participants in the NHANES from 1999 to 2016, with lower CVD rate reported among the highest-resources group. Additional research into the dynamics of income inequality and health outcomes as well as policy and public health efforts to mitigate this inequality are needed.

Project description:Background/objectivesPsychotropic and opioid medications are routinely prescribed for symptom management in hospice, but national estimates of prescribing are lacking. Changes in Medicare hospice payment in 2014 provide the first opportunity to examine psychotropic and opioid prescribing among hospice beneficiaries, and the factors associated with use of specific medication classes.DesignCross-sectional analysis of a 20% sample of traditional and managed Medicare with Part D enrolled in hospice, 2014-2016.SettingBeneficiaries enrolled in the Medicare hospice benefit.ParticipantsMedicare beneficiaries ≥65 newly enrolled in hospice between July 1, 2014 and December 31, 2016 (N = 554,022).Main outcomePrevalence of psychotropic and opioid medication prescribing by class and factors associated with prescribing.Results70.3% of hospice beneficiaries were prescribed a psychotropic and 63.3% were prescribed an opioid. The most common psychotropic classes prescribed were: benzodiazepines (60.6%), antipsychotics (38.3%), antidepressants (18.4%), and antiepileptics (10.2%). Lorazepam (56.4%), morphine (52.8%), and haloperidol (28.6%) were received by the most beneficiaries. Prevalence of any psychotropic and opioid prescription was highest among beneficiaries who were female (76.7%), non-Hispanic white (76.6%), and those with cancer (78.9%). Compared to white beneficiaries, non-Hispanic black beneficiaries were less likely to receive nearly every class of medication, with significantly lower odds of receiving opioids (64.1% vs 57.9%; AOR 0.75, 95% CI 0.72-0.77) and benzodiazepines (61.6% vs 52.2%; AOR 0.66, 95% CI 0.64-0.68). Differences were seen across hospice diagnosis; those with cancer were more likely to receive opioids, benzodiazepines, and antipsychotics but less likely to receive antidepressants and antiepileptics.ConclusionsPsychotropic and opioid medications are frequently prescribed in hospice. Observed variations in prescribing across race and ethnicity may reflect disparities in prescribing as well as patient preferences for care. Further work is important to understand factors driving prescribing given limited studies surrounding medication prescribing in hospice.

Project description:BackgroundCannabis use and cannabis regulatory policies recently re-surfaced as noteworthy global research and social media topics, including claims that Mexicans have been sending cannabis and other drug supplies through a porous border into the United States. These circumstances prompted us to conduct an epidemiological test of whether the states bordering Mexico had exceptionally large cannabis incidence rates for 2002-2011. The resulting range of cannabis incidence rates disclosed here can serve as 2002-2011 benchmark values against which estimates from later years can be compared.MethodsThe population under study is 12-to-24-year-old non-institutionalized civilian community residents of the US, sampled and assessed with confidential audio computer-assisted self-interviews (ACASI) during National Surveys on Drug Use and Health, 2002-2011 (aggregate n ∼ 420,000) for which public use datasets were available. We estimated state-specific cannabis incidence rates based on independent replication sample surveys across these years, and derived meta-analysis estimates for 10 pre-specified regions, including the Mexico border region.ResultsFrom meta-analysis, the estimated annual incidence rate for cannabis use in the Mexico Border Region is 5% (95% CI [4%-7%]), which is not an exceptional value relative to the overall US estimate of 6% (95% CI [5%-6%]). Geographically quite distant from Mexico and from states of the western US with liberalized cannabis policies, the North Atlantic Region population has the numerically largest incidence estimate at 7% (95% CI [6%-8%]), while the Gulf of Mexico Border Region population has the lowest incidence rate at 5% (95% CI [4%-6%]). Within the set of state-specific estimates, Vermont's and Utah's populations have the largest and smallest incidence rates, respectively (VT: 9%; 95% CI [8%-10%]; UT: 3%; 95% CI [3%-4%]).DiscussionBased on this study's estimates, among 12-to-24-year-old US community residents, an estimated 6% start to use cannabis each year (roughly one in 16). Relatively minor variation in region-wise and state-level estimates is seen, although Vermont and Utah might be exceptional. As of 2011, proximity to Mexico, to Canada, and to the western states with liberalized policies apparently has induced little variation in cannabis incidence rates. Our primary intent was to create a set of benchmark estimates for state-specific and region-specific population incidence rates for cannabis use, using meta-analysis based on independent US survey replications. Public health officials and policy analysts now can use these benchmark estimates from 2002-2011 for planning, and in comparisons with newer estimates.

Dataset Information

Population-level predictions from cannabis risk perceptions to active cannabis use prevalence in the United States, 1991-2014.

Publications

Population-level predictions from cannabis risk perceptions to active cannabis use prevalence in the United States, 1991-2014.

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