Project description:Due to changes in cannabis policies, concerns about cannabis use (CU) in adolescents have increased. The population of nonwhite groups is growing quickly in the United States. We examined perceived CU norms and their association with CU and CU disorder (CUD) for White, Black, Hispanic, Native-American, Asian-American, Native Hawaiian/Pacific Islander (NH/PI), and mixed-race adolescents. Data were from adolescents (12-17 years) in the 2004-2012 National Surveys on Drug Use and Health (N = 163,837). Substance use and CUD were assessed by computer-assisted, self-interviewing methods. Blacks, Hispanics, Native-Americans, and mixed-race adolescents had greater odds of past-year CU and CUD than Whites. Among past-year cannabis users (CUs), Hispanics and Native-Americans had greater odds of having a CUD than Whites. Asian-Americans had the highest prevalence of perceived parental or close friends' CU disapproval. Native-Americans and mixed-race adolescents had lower odds than Whites of perceiving CU disapproval from parents or close friends. In adjusted analyses, adolescent's disapproval of CU, as well as perceived disapproval by parents or close friends, were associated with a decreased odds of CU in each racial/ethnic group, except for NHs/PIs. Adolescent's disapproval of CU was associated with a decreased odds of CUD among CUs for Whites (personal, parental, and close friends' disapproval), Hispanics (personal, parental, and close friends' disapproval), and mixed-race adolescents (personal, close friends' disapproval). Racial/ethnic differences in adolescent CU prevalence were somewhat consistent with adolescents' reports of CU norm patterns. Longitudinal research on CU health effects should oversample nonwhite adolescents to assure an adequate sample for analysis and reporting.
Project description:Background: Clinical indications for medicinal cannabis include chronic conditions; thus users (MCUs) are at an increased risk of morbidity and mortality resulting from SARS-CoV-2 infection (COVID-19). The study aimed to provide data on cannabis use and self-reported behavioral changes among MCUs with preexisting chronic conditions in response to the pandemic.Methods: An internet-based questionnaire was administered to adults ≥18 who self-reported medicinal cannabis use within the past year. Data are from respondents between March 21 and April 23, 2020; response rate was 83.3%. Health conditions and cannabis frequency, route, and patterns of use were assessed via the COVID-19 Cannabis Health Questionnaire (Vidot et al. 2020).Results: Participants (N = 1202) were predominantly non-Hispanic white (82.5%) and 52.0% male (mean age 47.2 years). Mental health (76.7%), pain (43.7%), cardiometabolic (32.9%), respiratory (16.8%), and autoimmune (12.2%) conditions were most reported. Those with mental health conditions reported increased medicinal cannabis use by 91% since COVID-19 was declared a pandemic compared to those with no mental health conditions (adjusted odds ratio: 1.91, 95% CI: 1.38-2.65). 6.8% reported suspected COVID-19 symptoms. Two percent (2.1%) have been tested for COVID-19 with only 1 positive test result. Some MCUs (16%) changed their route of cannabis administration, switching to nonsmoking forms.Conclusions: The majority of MCUs reported at least one preexisting chronic health condition. Over half report fear of COVID-19 diagnosis and giving the virus to someone else; yet only some switched from smoking to nonsmoking forms of cannabis. Clinicians may consider asking about cannabis use among their patients, particularly those with chronic health conditions.
Project description:BACKGROUND:Using U.S. National Surveys on Drug Use and Health (NSDUH) data, researchers found that prevalence of cannabis use among adults increased in recent years, but prevalence of DSM-IV cannabis use disorder (CUD) was stable. Examining trends of all individual CUD criteria and of CUD severity may elucidate reasons for the lack of increases in CUD. METHODS:Data were from 749,500 persons aged 18 or older who participated in the 2002-2017 NSDUH. Descriptive analyses and logistic regressions were applied. RESULTS:Among adults during 2002-2017, past-year prevalence of DSM-IV CUD remained stable at 1.5% to 1.4%, but cannabis use increased from 10.4% to 15.3%, daily/near daily use increased from 1.9% to 4.2%, and mild DSM-5 CUD increased from 1.4% to 1.9%. Among adult cannabis users, past-year prevalence of DSM-IV CUD decreased from 14.8% to 9.3%, daily/near daily use increased from 18.0% to 27.2%, and DSM-5 moderate (4-5 criteria) and severe (6+ criteria) CUD decreased from 4.3% to 3.1% and from 2.4% to 1.3%, respectively. Examining trends in individual CUD criteria during 2002-2017 among adults overall revealed increases in two criteria (tolerance; spending a lot of time getting/using cannabis or getting over cannabis effects) and decreases/no changes in other criteria; among adult cannabis users, there was no change in one criterion (tolerance) and decreases in other criteria. CONCLUSIONS:DSM-5's single dimension CUD measure may be more sensitive to diagnosis prevalence changes than the separate DSM-IV cannabis dependence and abuse categories. Future diagnostic approaches to assessing CUD may benefit from quantitatively oriented criteria.
Project description:Understanding the interrelationships between risky health behaviors is critical for health promotion efforts. Conceptual frameworks for understanding substance misuse (e.g. stepping-stone models) have not yet widely incorporated other risky behaviors, including those related to sexual health.The goals of this study were to assess the relationship between early sexual debut and cannabis use, examine the role of licit substance use in this association, and evaluate differences by gender and race/ethnicity.Data came from the National Comorbidity Survey-Replication (NCS-R). Primary analysis was restricted to respondents who reported sexual debut at ?12 years (n = 5,036). Age at sexual debut was categorized as early (<18 years), average (18 years) and late (>18 years). Logistic regression was used to assess the relationship between age at sexual debut and cannabis use. Interaction terms were used to evaluate effect modification by gender and race/ethnicity.Later age of sexual debut was associated with lower odds of cannabis use relative to the average age of debut (AOR = 0.50, 95% CI = 0.37-0.66). For every year that respondents delayed their sexual debut, the relative odds of lifetime cannabis use declined by 17%. After accounting for alcohol and tobacco use the association between early sexual debut and cannabis was attenuated (AOR = 0.90, 95% CI = 0.68-1.20), while later age of debut remained protective (AOR = 0.57, 95% CI = 0.42-0.78). Results were generally consistent across race/ethnicity and gender.Multifactorial intervention strategies targeting both sexual health and substance use may be warranted.
Project description:Recent changes in cannabis policy in the United States have prompted increased interest in cannabis use estimates, and replicability of these estimates. Here, we compare prevalence estimates from two concurrent approaches: (1) standard social survey with audio computer-assisted self-interviews at respondent's home (ACASI-H), derived from the National Surveys on Drug Use and Health (NSDUH), and (2) standard health survey with ACASI assessment in a mobile health examination vehicle (ACASI-M), derived from National Health and Nutrition Examination Surveys (NHANES), 2005-2012, with essentially the same standardized items in cannabis modules. NHANES ACASI-M prevalence proportions for recently-active-cannabis-use are an estimated 130-140% larger than corresponding NSDUH ACASI-H estimates (p < 0.05). In exploratory stratified analyses, we sought to understand these NHANES-NSDUH differences, and found no differences in lifetime-history-of-cannabis-use. However, for participants living with others in the same residence, moving cannabis assessment out of the dwelling unit might promote larger recently-active-cannabis-use estimates; no NHANES-NSDUH differences were found for participants living alone. The observed discrepancies might be non-ignorable in a policy or program evaluation context. A methods research program will be needed to account for between-survey differences of the type observed here, perhaps with a focus on within-residence versus non-residence assessment as a source of variation.
Project description:BACKGROUND:Cannabis use disorder (CUD) prevalence among people reporting past-year cannabis use declined from 2002-2016. We examined whether similar reductions in CUD were observed among people reporting daily/almost daily cannabis use. We expected that CUD prevalence among people reporting daily/almost daily use would not decrease. METHODS:We used 2002-2016 National Survey on Drug Use and Health (NSDUH) data, including 22,651 individuals using cannabis 300+ days in the past year. CUD was defined using DSM-IV criteria for cannabis abuse and/or dependence. Age categories included: 12-17, 18-25, and 26?+?. Annual prevalence of CUD, cannabis dependence, cannabis abuse, and each individual abuse/dependence items accounted for the complex survey design. Differences in trends over time were examined by age group. RESULTS:From 2002-2016, the prevalence of CUD among people reporting daily/almost daily cannabis use decreased by 26.8% in adolescents, by 29.7% in ages 18-25, and by 37.5% in ages 26?+?. Prevalence of DSM-IV cannabis dependence decreased significantly among adolescents (-43.9%) and young adults (-26.8%) but remained stable in adults 26?+?. Reductions in most dependence items were observed in young adults, with less consistent patterns in adolescents and adults 26?+?. Prevalence of DSM-IV cannabis abuse decreased overall and for each abuse item across all age groups. CONCLUSIONS:Contrary to expectations, CUD prevalence decreased significantly across all ages reporting daily/almost daily cannabis use between 2002-2016. Cannabis dependence prevalence decreased for adolescents and young adults and was stable only among adults ages 26+ reporting daily/almost daily cannabis use. Potential drivers of this decrease should be further explored.
Project description:ObjectiveTo examine disparities in utilization of gynecologic oncologists (GOs) across race and other sociodemographic factors for women with ovarian cancer.Data sourcesObtained SEER-Medicare linked dataset for 4,233 non-Hispanic White, non-Hispanic African American, Hispanic of any race, and Non-Hispanic Asian women aged ? 66 years old diagnosed with ovarian cancer during 2000-2002 from 17 SEER registries. Physician specialty was identified by linking data to the AMA master file using Unique Physician Identification Numbers.Study designRetrospective claims data analysis for 1999-2006. Logistic regression models were used to analyze the association between GO utilization and race/ethnicity in the initial, continuing, and final phases of care.Principal findingsGO use decreased from the initial to final phase of care (51.4-28.8 percent). No racial/ethnic differences were found overall and by phase of cancer care. Women >70 years old and those with unstaged disease were less likely to receive GO care compared to their counterparts. GO use was lower in some SEER registries compared to the Atlanta registry.ConclusionsGO use for the initial ovarian cancer treatment or for longer term care was low but not different across racial/ethnic groups. Future research should identify factors that affect GO utilization and understand why use of these specialists remains low.
Project description:IntroductionMedicinal cannabis is now legal in 44 US jurisdictions. Between 2020 and 2021 alone, four US jurisdictions legalised medicinal cannabis. The aim of this study is to identify themes in medicinal cannabis tweets from US jurisdictions with different legal statuses of cannabis from January to June 2021.MethodsA total of 25,099 historical tweets from 51 US jurisdictions were collected using Python. Content analysis was performed on a random sample of tweets accounting for the population size of each US jurisdictions (n = 750). Results were presented separately by tweets posted from jurisdictions where all cannabis use (non-medicinal and medicinal) is 'fully legalised', 'illegal' and legal for 'medical-only' use.ResultsFour themes were identified: 'Policy', 'Therapeutic value', 'Sales and industry opportunities' and 'Adverse effects'. Most of the tweets were posted by the public. The most common theme was related to 'Policy' (32.5%-61.5% of the tweets). Tweets on 'Therapeutic value' were prevalent in all jurisdictions and accounted for 23.8%-32.1% of the tweets. Sales and promotional activities were prominent even in illegal jurisdictions (12.1%-26.5% of the tweets). Fewer than 10% of tweets were about intoxication and withdrawal symptoms.Discussion and conclusionThis study has explored if content themes of medicinal cannabis tweets differed by cannabis legal status. Most tweets were pro-cannabis and they were related to policy, therapeutic value, and sales and industry opportunities. Tweets on unsubstantiated health claims, adverse effects and crime warrants continued surveillance as these conversations could allow us to estimate cannabis-related harms to inform health surveillance.
Project description:BACKGROUND:In this study of cannabis use in large nationally representative samples of United States (US) women aged 12-44?years, we evaluate variation by pregnancy month and by trimester. We also evaluate cannabis dependence, which might explain why some women continue using cannabis during pregnancy. METHODS:Large nationally representative samples drawn for the US National Surveys on Drug Use and Health included 12-44-year-old women asked about pregnancy month, cannabis use, and cannabis dependence (n?=?381,199). For this research, we produced month-specific estimates across four-time intervals (2002-2005, 2006-2009, 2010-2013, 2014-2017). RESULTS:Overall from 2002 to 2017, estimates for non-pregnant women and for pregnant women in Trimester 1 indicate 7%-8% had used cannabis at least once in the 30?days prior to assessment. For pregnancy Month 1, the corresponding estimate is 11%, double Month 3 estimate of 5%. This degree of month-to-month variation is not seen for pregnant women in Trimesters 2 and 3, for whom estimates are 3% and 2%, respectively. Among women using cannabis during pregnancy, an estimated 19% have cannabis dependence, versus an expected value of 13% among non-pregnant women (p?<?.05). CONCLUSION:Evidence of a possibly ameliorative pregnancy-associated reduction of cannabis use prevalence was seen by Month 3 during pregnancy. Cannabis dependence may help account for cannabis use early during pregnancy. Identification and outreach to reproductive age women with cannabis dependence might decrease prenatal cannabis exposure.
Project description:ObjectivesThe study examined sex differences in trend and clinical characteristics of cannabis use disorder (CUD) diagnosis involved hospitalizations among adult patients.MethodsWe analyzed hospitalization data from the 2007-2011 Nationwide Inpatient Samples for patients aged 18-64 years (N?=?15,114,930). Descriptive statistics were used to characterize demographic variables and to compare the proportions of CUD diagnosis and comorbid patterns between male and female hospitalizations. Logistic regressions were performed to examine the association of sex and other demographic variables with CUD diagnosis.ResultsDuring the study period, 3.3% of male and 1.5% of female hospitalizations had any-listed CUD diagnoses, and both sexes presented an upward trend in the number, rate, and proportion of CUD diagnosis. Among hospitalizations for patients aged 18-25 years, about 1 in 10 males and 1 in 20 females included a CUD diagnosis, and this proportion decreased with age strata. Mental disorders accounted for the highest proportion of CUD involved inpatient hospitalizations, and female CUD involved hospitalizations included a higher proportion of mental disorders that required hospitalized care compared with male hospitalizations (41% vs 36%). In each sex group, younger age, black race, lower household income, large metropolitan residence, non-private insurance, substance use diagnosis, and mental disorders were associated with elevated odds of having CUD diagnosis.ConclusionThe large sample of clinical hospitalization data suggest an increased trend in CUD diagnosis and sex differences in several comorbidities with CUD-involved hospital admissions. Prevention and treatment for CUD should consider sex differences in clinical comorbidities.