Using publicly available data to predict recreational cannabis legalization at the county-level: A machine learning approach.

BACKGROUND: There is substantial geographic variability in local cannabis policies within states that have legalized recreational cannabis. This study develops an interpretable machine learning model that uses county-level population demographics, sociopolitical factors, and estimates of substance use and mental illness prevalences to predict the legality of recreational cannabis sales within each U.S. county. METHODS: We merged data and selected 14 model inputs from the 2010 Census, 2012 County Presidential Data from the MIT Elections Lab, and Small Area Estimates from the National Surveys on Drug Use and Health (NSDUH) from 2010 to 2012 at the county level. County policies were labeled as having recreational cannabis legal (RCL) if the sale of recreational cannabis was allowed anywhere in the county in 2014, resulting in 92 RCL and 3002 non-RCL counties. We used synthetic data augmentation and minority oversampling techniques to build an ensemble of 1000 logistic regressions on random sub-samples of the data, withholding one state at a time and building models from all remaining states. Performance was evaluated by comparing the predicted policy conditions with the actual outcomes in 2014. RESULTS: When compared to the actual RCL policies in 2014, the ensemble estimated predictions of counties transitioning to RCL had a macro f1 average score of 0.61. The main factors associated with legalizing county-level recreational cannabis sales were the prevalences of past-month cannabis use and past-year cocaine use. CONCLUSION: By leveraging publicly available data from 2010 to 2012, our model was able to achieve appreciable discrimination in predicting counties with legal recreational cannabis sales in 2014, however, there is room for improvement. Having demonstrated model performance in the first handful of states to legalize cannabis, additional testing with more recent data using time to event models is warranted.

Nausea and vomiting of pregnancy and prenatal cannabis use in a Michigan sample.

BACKGROUND: Nausea and vomiting of pregnancy, also referred to as morning sickness, affects more than 70% of all pregnancies. Symptoms range from mild to severe and, in some cases, can be debilitating, resulting in a reduced quality of life. Moreover, prenatal cannabis use prevalence has doubled in the United States, and cannabis potency, measured by the concentration of delta-9-tetrahydrocannabiniol, has increased from 10% in 2009 to 14% in 2019. State-level recreational legalization of cannabis may contribute to the liberalization of its use and reduced risk perception. Furthermore, the relatively recent discovery of cannabinoid hyperemesis syndrome may contribute to the mischaracterization of morning sickness in individuals who use cannabis during pregnancy. Although cannabis has well-documented antiemetic properties, there is insufficient research on the topic. Therefore, it is essential to establish a tangible understanding of the association between nausea and vomiting of pregnancy and prenatal cannabis use. OBJECTIVE: This study aimed to estimate the degree to which nausea and vomiting of pregnancy might be associated with prenatal cannabis use in a sample of pregnant people in Michigan, a state where recreational cannabis use became legal in December 2018. STUDY DESIGN: This was a prospective study of participants from the Michigan Archive for Research on Child Health, a population-based pregnancy cohort that was recruited using a probability-based sampling approach. Participants were recruited from 22 prenatal clinics located throughout Michigan's lower peninsula. Cross-sectional analyses were performed for data available between October 2017 and January 2022. RESULTS: Among this sample of Michigan pregnant people, 14% (95% confidence interval, 11%-16%) reported cannabis use. Participants who experienced increasing morning sickness severity had higher odds of using cannabis (adjust odds ratio, 1.2; 95% confidence interval, 1.1-1.2). When the sample was restricted to first-trimester morning sickness and cannabis use, the results remained statistically robust. When the direction of the association was reversed, an increase in morning sickness severity was detected among participants who used cannabis during pregnancy (ßadjusted, 0.2; 95% confidence interval, 0.1-0.2). Lastly, the association between prepregnancy cannabis use and first-trimester morning sickness was investigated. Study findings suggest an increase in morning sickness severity among people who used cannabis in the 3 months before pregnancy compared with those who did not use cannabis (ßadjusted, 0.1; 95% confidence interval, 0.003-0.200). CONCLUSION: Study findings indicated a link between nausea and vomiting of pregnancy and prenatal cannabis use. Moreover, this study revealed that using cannabis in the 3 months before pregnancy is associated with first-trimester morning sickness severity. The strengths of our study contribute to the scant epidemiologic evidence in this area of research. More fine-grained, time-specific data on nausea and vomiting of pregnancy and prenatal cannabis use are necessary to draw inferences about cause-effect relationships. Our study might provide a basis to discourage cannabis use during pregnancy until more evidence is collected.

On the Importance of Coefficient Alpha for Measurement Research: Loading Equality Is Not Necessary for Alpha's Utility as a Scale Reliability Index.

The population relationship between coefficient alpha and scale reliability is studied in the widely used setting of unidimensional multicomponent measuring instruments. It is demonstrated that for any set of component loadings on the common factor, regardless of the extent of their inequality, the discrepancy between alpha and reliability can be arbitrarily small in any considered population and hence practically ignorable. In addition, the set of parameter values where this discrepancy is negligible is shown to possess the same dimensionality as that of the underlying model parameter space. The article contributes to the measurement and related literature by pointing out that (a) approximate or strict loading identity is not a necessary condition for the utility of alpha as a trustworthy index of scale reliability, and (b) coefficient alpha can be a dependable reliability measure with any extent of inequality in the component loadings.

Longitudinal associations between age 20 problematic substance use and opioid use disorder incidence at age 30 - findings from an urban cohort.

This study used data from a longitudinal prevention study in an urban cohort to examine associations between nicotine dependence, alcohol, and cannabis use disorder and disorder criteria at age 20, with opioid use disorder (OUD) incidence or criteria onset by age 30. The study sample included 1408 participants (57.5% female, 72.5% African American) drawn from two cohorts of participants in a mid-Atlantic region of the U.S. as part of a series of randomized controlled trials of elementary school-based universal prevention interventions. Lifetime cannabis use disorder (CUD), alcohol use disorder (AUD; both DSM-IV), and current nicotine dependence (Fagerstrom Test for Nicotine Dependence, FTND) assessed at age 20 were used to predict (1) DSM-IV lifetime OUD at age 30, and (2) OUD criteria between ages 20 and 30 in multivariable logistic regression models. Covariates for all analyses included sociodemographics (sex, race, and free/reduced-priced lunch status), community disadvantage, and intervention status. Nicotine dependence (FTND≥3) at age 20 predicted age 30 DSM-IV lifetime OUD (aOR = 2.37; 95% CI 1.02,5.54). The number of CUD criteria (aOR = 1.30; 95% CI 1.09,1.57) and nicotine dependence severity scores (aOR = 1.22; 95% CI = 1.05,1.41) at age 20 predicted any OUD criteria between the ages of 20 and 30. Findings are consistent with previous research on opioid use behavior in young adulthood and suggest that nicotine dependence and CUD criteria among urban young people predict onset of OUD and OUD criteria in young adulthood.

Estimating the effects of legalizing recreational cannabis on newly incident cannabis use.

Liberalized state-level recreational cannabis policies in the United States (US) fostered important policy evaluations with a focus on epidemiological parameters such as proportions [e.g., active cannabis use prevalence; cannabis use disorder (CUD) prevalence]. This cannabis policy evaluation project adds novel evidence on a neglected parameter-namely, estimated occurrence of newly incident cannabis use for underage (<21 years) versus older adults. The project's study populations were specified to yield nationally representative estimates for all 51 major US jurisdictions, with probability sample totals of 819,543 non-institutionalized US civilian residents between 2008 and 2019. Standardized items to measure cannabis onsets are from audio computer-assisted self-interviews. Policy effect estimates are from event study difference-in-difference (DiD) models that allow for causal inference when policy implementation is staggered. The evidence indicates no policy-associated changes in the occurrence of newly incident cannabis onsets for underage persons, but an increased occurrence of newly onset cannabis use among older adults (i.e., >21 years). We offer a tentative conclusion of public health importance: Legalized cannabis retail sales might be followed by the increased occurrence of cannabis onsets for older adults, but not for underage persons who cannot buy cannabis products in a retail outlet. Cannabis policy research does not yet qualify as a mature science. We argue that modeling newly incident cannabis use might be more informative than the modeling of prevalences when evaluating policy effects and provide evidence of the advantages of the event study model over regression methods that seek to adjust for confounding factors.

Effect of a pediatric fruit and vegetable prescription program on child dietary patterns, food security, and weight status: a study protocol.

BACKGROUND: Although nutrients in fruits and vegetables are necessary for proper development and disease prevention, most US children consume fewer servings than recommended. Prescriptions for fruits and vegetables, written by physicians to exchange for fresh produce, address access and affordability challenges while emphasizing the vital role of diet in health promotion and disease prevention. Michigan's first fruit and vegetable prescription program (FVPP) exclusively for children was introduced in 2016 at one large pediatric clinic in Flint and expanded to a second clinic in 2018. The program provides one $15 prescription for fresh produce to all pediatric patients at every office visit. Prescriptions are redeemable at a year-round farmers' market or a local mobile market. The current study will assess the impact of this FVPP on diet, food security, and weight status of youth. METHODS: Demographically similar pediatric patient groups with varying levels of exposure to the FVPP at baseline will be compared: high exposure (> 24 months), moderate exposure (12-24 months), and no previous exposure. Data collection will focus on youth ages 8-16 years. A total of 700 caregiver-child dyads (one caregiver and one child per household) will be enrolled in the study, with approximately 200 dyads at clinic 1 (high exposure); 200 dyads at clinic 2 (moderate exposure), and 300 dyads at clinic 3 (no previous exposure). Children with no previous exposure will be introduced to the FVPP, and changes in diet, food security, and weight status will be tracked over two years. Specific aims are to (1) compare baseline diet, food security, and weight status between pediatric patients with varying levels of exposure to the FVPP; (2) measure changes in diet, food security, and weight status before and after never-before-exposed children are introduced to the FVPP; and (3) compare mean 12- and 24-month follow-up measures of diet, food security, and weight status in the initial no exposure group to baseline measures in the high exposure group. DISCUSSION: Completion of study aims will provide evidence for the effectiveness of pediatric FVPPs and insights regarding the duration and intensity of exposure necessary to influence change. TRIAL REGISTRATION: The study was registered through clinicaltrials.gov [ID: NCT04767282] on February 23, 2021.

Similarities and Differences in Alcohol & Other Drug Dependence Among Hispanic/Latino Subgroups: A Disaggregation Approach.

Background: Hispanic/Latino (H/L) heritage civilians out-number all other non-White ethnic groups in the United States. When studied as one group, H/L diversity is ignored, including rates of drug misuse. This study's aim was to examine H/L diversity regarding drug dependence by disaggregating how the burdens of active alcohol or other drug dependence (AODD) might change if we were to address syndromes drug by drug. Method: Studying non-institutionalized H/L residents from the National Surveys on Drug Use and Health (NSDUH) 2002-2013 probability samples, we utilized online Restricted-use Data Analysis System variables to identify ethnic heritage subgroups and active AODD via computerized self-interviews. We estimated case counts of AODD with analysis-weighted cross-tabulations and variances from Taylor series. Radar plots disclose AODD variations when we simulate the reductions of drug-specific AODD one by one. Results: For all H/L heritage subgroups, the most substantial AODD decline might be achieved by reducing active alcohol dependence syndromes, followed by declines of cannabis dependence. The burdens due to active syndromes attributed to cocaine and pain relievers vary somewhat across subgroups. For the Puerto Rican subgroup, our estimates reveal potentially important burden reduction if active heroin dependence can be decreased. Conclusion: A sizeable reduction in the H/L population health burden attributable to AODD syndromes might be achieved via the effective decline of alcohol and cannabis dependence among all subgroups. Future research includes a systematic replication with recent NSDUH survey data, as well as various stratifications. If replicated, the need for targeted drug-specific interventions among H/L will become unequivocal.

A Culturally Adapted Parenting Intervention for Mexican-Origin Immigrant Families with Adolescents: Integrating Science, Culture, and a Focus on Immigration-Related Adversity.

Low-income Latina/o immigrants are very likely to experience intense contextual challenges in the USA, such as limited exposure to culturally relevant parent training (PT) prevention interventions. This prevention study consisted of an exploratory randomized controlled trial, aimed at empirically testing the implementation feasibility and initial efficacy of a culturally adapted version of the evidence-based PT intervention known as GenerationPMTO©. The parenting intervention was adapted to overtly address immigration-related stressors, discrimination, and challenges associated with biculturalism. Seventy-one Mexican-origin immigrant mothers participated in this study and were allocated to one of two conditions: (a) culturally adapted GenerationPMTO (i.e., CAPAS-Youth) or (b) wait-list control. Measurements were completed at baseline (T1) and intervention completion (T2). When compared to mothers in the control condition at T2, CAPAS-Youth participants reported significant improvements on four of the core parenting practices delivered in the CAPAS-Youth intervention. As hypothesized, no significant differences in limit-setting skills were identified at T2. With regards to adolescents' outcomes, mothers exposed to CAPAS-Youth reported significant improvements in youth internalizing and externalizing behaviors at T2 when compared to a wait-list control condition. Mothers in both conditions also reported significant reductions in levels of immigration-related stress. Current findings indicate the feasibility of implementing CAPAS-Youth within a context of considerable adversity, as well as the beneficial impacts of the parent-based intervention on salient parenting and youth outcomes.

Drugs age-of-onset as a signal of later post-traumatic stress disorder: Bayesian analysis of a census protocol.

Individuals with PTSD have an increased risk of drug use disorders. Conversely, we aim to evaluate how early onset of alcohol, tobacco and psychoactive drugs use are associated with PTSD later in life. 2,193 brazilian young adults completed modularized assessments: The Trauma History Questionnaire, Post-Traumatic Stress Disorder Checklist-Civilian Version (PCL-C, transformed to PCL-5 through a crosswalk procedure), the Barratt Impulsivity Scale; and a survey on drug use with self-report questions about first use, current use, frequency, quantity, and interpersonal consequences. Bayesian inference and multivariate regression models were used to examine the effects on the risk of PTSD, considering different assumptions of information flow. Raw and unbiased (multivariate) estimates consistently revealed that earlier age of onset of alcohol and tobacco use increased risk for PTSD (Odds-ratios between 2.39 and 3.19 (Alcohol) and 1.82 to 2.05 (Tobacco). Among those who had PTSD (310), 10.3% (32) were very precocious at the onset age (12 to 18 years) of alcohol consumption (No-PTSD: 89 out 1883, 4.7%). Data supports a model in which age of onset effects are partially mediated by the number of trauma exposures. Early intoxication might suggest vulnerability for qualifying trauma events, or it may increase chances of exposure. Also, PTSD may be more likely to occur among trauma-exposed individuals with early intoxicating experiences due to alcohol or drug self-administration. The last possibility resonates with the idea that early intoxication might disrupt adolescent brain development, with a subsequent reduction in resilience when qualifying trauma events occur.

Latent Class Analysis for Repeatedly Measured Multiple Latent Class Variables.

Research on stage-sequential shifts across multiple latent classes can be challenging in part because it may not be possible to observe the particular stage-sequential pattern of a single latent class variable directly. In addition, one latent class variable may affect or be affected by other latent class variables and the associations among multiple latent class variables are not likely to be directly observed either. To address this difficulty, we propose a multivariate latent class analysis for longitudinal data, joint latent class profile analysis (JLCPA), which provides a principle for the systematic identification of not only associations among multiple discrete latent variables but sequential patterns of those associations. We also propose the recursive formula to the EM algorithm to overcome the computational burden in estimating the model parameters, and our simulation study shows that the proposed algorithm is much faster in computing estimates than the standard EM method. In this work, we apply a JLCPA using data from the National Longitudinal Survey of Youth 1997 in order to investigate the multiple drug-taking behavior of early-onset drinkers from their adolescence, via young adulthood, to adulthood.

'Time to first tobacco cigarette soon after waking' occurs more often among underage newly incident smokers in the United States, 2004-2017.

AIMS: Time to first cigarette (TTFC) after waking is a highly regarded and readily measured manifestation of a tobacco dependence process. We aim to estimate short TTFC as it occurs very soon after the onset of cigarette smoking (CS) in a community sample of newly incident smokers, all 12-21 years of age, and to study risk variation with the age of CS onset. METHODS: United States National Surveys on Drug Use and Health, 2004-2017, drew large nationally representative samples of 12-to-21-year-old community residents, and used computerized self-interviews to measure tobacco cigarette smoking, the Fagerstrom TTFC construct, and related variables. A 'short' TTFC was defined as smoking the first cigarette after waking up within 30 min vs. 'long' TTFC or smoking more than 30 min. We studied 8188 newly incident smokers, all assessed within six months after the first puff. Estimated age-specific cumulative incidence proportions (CIP) and odds ratios (OR) are estimated and compared, with due attention to complex survey design and weights. RESULTS: Among underage newly incident smokers (12-17 years old), an estimated 5.2% experienced short TTFC within 6 months after CS onset (95% CI = 4.4%, 6.2%), versus 3.7% for older new smokers (18-21 years; 95% CI = 2.8%, 4.6%). Underage smokers are 1.5 times more likely to develop short TTFC compared to older initiates (95% CI = 1.1, 2.1). No male-female variations are seen, but exploratory analysis disclosed findings that involve Census-defined race-ethnicity subgroups. Non-Hispanic African-American initiates are twice as likely to develop short TTFC, and Hispanic initiates are less likely to develop short TTFC, as compared with non-Hispanic White smokers. CONCLUSIONS: Based on US community samples our study offers new evidence about TTFC formation observed within six months after the first puff when cigarette smoking starts before age 18 years.

Estimated effect of US state syringe sale policy on source of last-used injection equipment.

BACKGROUND: Many people who inject drugs (PWID) lack access to a new sterile syringe each time they inject, with increased risk of injection-related harms, including spread of communicable diseases. In the United States (US), restricted access is largely due to state laws and policies regulating syringe access. Our aim in this US-focused study is to estimate variations in syringe acquisition behavior in relation to state-level syringe sale policies, drawing upon self-identified PWID in a nationally representative sample survey. METHODS: Estimates were obtained on the source of the last used syringe from participants of the National Survey on Drug Use and Health (NSDUH) years 2002-2011. States were classified as having restricted syringe policies if they had any restriction on the sale of syringes during the study period (e.g., required a prescription or limited the number being sold). RESULTS: In states with unrestricted syringe sale policies, PWID were more likely to have obtained their most recently used syringe from a safe source (Difference (%) = 9.8, 95% CI: 1.9, 17.7). This difference was largely driven by a larger percent of injectors obtaining syringes from a pharmacy in unrestricted states (Difference = 20.4, 95% CI: 12.2, 28.6) but was partially offset by fewer injectors obtaining syringes from syringe exchange programs (Difference = -10.7, 95% CI: -16.1, -5.3). CONCLUSION: These new findings, taken with other evidence, should help promote removal of policy barriers that now thwart syringe acquisition from a safe source. We hope this additional evidence will provoke policy discussions and may influence regulations that promote public health and reduce the spread of communicable diseases.

Cocaine dependence: "Side effects" and syndrome formation within 1-12 months after first cocaine use.

BACKGROUND: This project offers new epidemiological estimates for DSM-IV cocaine dependence among sub-groups of newly incident cocaine users in the United States (US), including estimated attack rates for 21 dependence-related cocaine side effect problems and experiences occurring <12 months after onset. METHOD: In 2002-2016, US National Surveys on Drug Use and Health (NSDUH) sampled, recruited, and assessed cocaine experiences of non-institutionalized civilians. Unweighted estimates for year-pairs (2002-3,…,2015-16) are from 3488 cocaine powder-only initiates and 275 powder-then-crack initiates (all evaluated <12 months after onset). Analysis-weighted attack rate estimates are incidence proportions with 95% confidence intervals (CI), summarized via meta-analysis. RESULTS: Evaluated <12 months after onset, meta-analysis summaries show 5% of powder-only initiates developed cocaine dependence (95% CI = 4%, 6%) versus 22% of powder-then-crack initiates (95% CI = 17%, 29%). For several cocaine side effect problems and experiences (e.g., 'loss of control' indicators) there is a statistically robust crack-associated excess risk. CONCLUSIONS: Three interpretations of observed crack-associated excess risk are especially cogent and deserving of continued inquiry: (1) Powder-then-crack initiates start with heightened dependence risk susceptibilities (i.e., pre-dating onset); (2) Powder-using initiates become cocaine dependent and then start using crack; (3) The cocaine delivery variant of 'crack-smoking' is more toxic than powder insufflation. For powder-then-crack initiates, the cocaine dependence risk (22%) is modestly lower but statistically undifferentiable from a recently estimated risk of heroin dependence <12 months after heroin onset (30%). Clinicians can use these side effect estimates in an evidence-based diagnostic workup when patients disclose new onsets of cocaine use.

"Side Effects" Observed Within ~1-90 Days After Cannabis Onset: Epidemiological Estimates for the United States, 2004-2014.

BACKGROUND AND OBJECTIVES: Among newly incident cannabis users, fewer than 4% develop cannabis dependence syndromes within 12 to 24 months, but earlier cannabis side effect (SE) incidence and early syndrome formation remains understudied. We estimate cannabis SE incidence within ~1 to 90 days after first use, and estimate odds ratios (OR) for SE pairs to quantify potential syndromic "running together." METHODS: Each year, 2004 to 2014, the US populations under study consisted of noninstitutionalized civilian residents age 12-years-and-older, sampled for National Surveys on Drug Use and Health. Computerized self-interviews identified 3710 newly incident cannabis users and asked about SEs. Analysis-weighted year-specific SE and SE-SE pair incidence proportions were estimated. Analysis-weighted odds ratio (OR) estimates quantify SE-SE co-occurrences, judged as "greater than chance" when lower bounds (LB) of 95% confidence intervals (CIs) exceed 1.0. Meta-analysis is used to summarize and to check reproducibility. RESULTS: Illustrative of estimates on 17 SEs, roughly 1/2 of cannabis initiates experienced "wanting or trying to cut down or stop using," but 80% of these cut back, such that less than 7% had symptom-like inability to cut back or stop. An estimated 25% had "spent a lot of time getting or using cannabis." The SE-SE paired estimate is 2.8% for those who had spent a lot of time and also had wanted/tried to cut down (95% CI = 2.0, 4.0). OR estimation suggests no syndromic co-occurrence of this SE-SE pair (OR = 0.9; 95% CI = 0.5, 1.6). In contrast, "cannabis causing serious problems at home/work/school" and "continuing to use despite physical problems" were more rare, but had strong SE-SE co-occurrence (OR = 14.8, LB = 2.4). For 78 of 136 possible SE-SE pairs, meta-analysis LB estimates exceeded the 1.0 threshold. CONCLUSION AND SCIENTIFIC SIGNIFICANCE: In these US community samples of cannabis initiates studied soon after first use, the vast majority were free of individual SE experiences counted toward Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition cannabis use disorder diagnoses. For a minority, SE-SE pairs might indicate syndrome formation. These epidemiological meta-analysis estimates might find use in refinement of clinical practice guidelines for fast effective syndrome screens when primary care patients are seen soon after cannabis onset, akin to clinical screening guides designed for newly incident drinkers (Am J Addict 2019;00:1-9).

Female-male differences in prescription pain reliever dependence levels: Evidence on newly incident adolescent and young adult users in the United States, 2002-2014.

BACKGROUND: A comprehensive epidemiology of dependence on prescription opioid pain relievers requires evidence about age-specific female-male differences, possibly manifest during adolescent and early adult years. In this study, we identified newly incident extra-medical users of prescription pain relievers (EMPPR), all observed with onsets before the 22nd birthday. We then quantified female-male differences in clinical features or manifestations of opioid dependence (OD), devised a measurement-equivalent OD dimension, and estimated age-specific female-male differences in OD levels. METHOD: The population under study included 12-to-21-year-old non-institutionalized civilian community residents of United States sampled for recent nation-scale surveys. Confidential computer-assisted self-interviews identified newly incident EMPPR users (n = 10,188). Analysis-weighted estimation procedures yielded cumulative incidence proportions for each OD feature, evaluated measurement non-equivalence across subgroups, and estimated female-male differences age-by-age. RESULTS: (1) Tolerance and salience ('spending a lot of time') are most common OD features. (2) Measurement non-equivalence (bias) was found across sex- and onset-age groups. (3) With biasing features removed, we can see elevated OD levels for female new initiates, age-by-age. Subsidiary analyses suggested possibly accelerated progression toward higher OD levels when extra-medical PPR use starts before age 18. CONCLUSIONS: Dimensional approaches to OD and other drug use disorders have gained popularity but can be fragile when differential measurement biases are left uncontrolled. This study's bias-corrected dimensional view of female-male differences shows elevated OD levels among newly incident female EMPPR users relative to new male initiates. Future studies can check for accelerated progression to higher OD levels when EM use starts before age 18 years.

The negative growth of a brief depressive spell among U.S. adolescents.

OBJECTIVE: Studying adolescent-onset brief depressive spells, we saw a chance to adapt a cross-cohort approach for successive cross-sectionally gathered epidemiological estimates on birth cohorts. METHODS: The United States (US) study population estimates are for noninstitutionalized community-dwelling 17- to 18-year-olds, sampled, recruited, and assessed using audio computer assisted self-interviews for the National Surveys on Drug Use and Health each year, 2008-2016. Estimated age and year-specific lifetime history cumulative incidence proportions are presented, with 95% confidence intervals, as well as age-specific meta-analysis summary estimates. RESULTS: Occurrence of a brief depressive spell (BDS) among the 2008 U.S. 17-year-olds showed a surprising difference with the 2009 statistically independent sample of that same "birth cohort" assessed at age 18 years. "Negative growth" was seen instead of an expected increase in those affected. Independent replication estimates of this BDS negative growth difference were seen in multiple successive birth cohorts. CONCLUSIONS: This well-replicated difference in BDS estimates offers a fascinating puzzle to be solved with focused inquiry. The puzzle's solution is important because National Surveys on Drug Use and Health does not assess Major Depression unless a BDS lifetime history is ascertained.

Cannabis use among women of reproductive age in the United States: 2002-2017.

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.

Cannabis Use and Markers of Systemic Inflammation: The Coronary Artery Risk Development in Young Adults Study.

BACKGROUND: It is unclear whether cannabis use in humans plays a role in the regulation of inflammatory responses. This study aimed to examine cannabis-attributable immunomodulation as manifested in levels of fibrinogen, C-reactive protein (CRP), and interleukin-6 (IL-6). METHODS: The Coronary Artery Risk Development in Young Adults (CARDIA) study is a cohort of 5115 African-American and Caucasian males and females enrolled in 1985-1986, and followed up for over 25 years, with repeated measures of cannabis use. Fibrinogen levels were measured at year 5, year 7, and year 20, CRP levels were measured at year 7, year 15, year 20, and year 25, and IL-6 levels were measured at year 20. We estimated the association of cannabis use and each biomarker using generalized estimating equations adjusting for demographic factors, tobacco cigarette smoking, alcohol drinking, and body mass index. RESULTS: Compared with never use (reference), recent cannabis use was not associated with any of the biomarkers studied here after adjusting for potential confounding variables. Former cannabis use was inversely associated with fibrinogen levels (ß = -5.4; 95% confidence interval [CI], -9.9, -0.9), whereas the associations were weaker for serum CRP (ß = -0.02; 95% CI, -0.10, 0.06) and IL-6 (ß = -0.06; 95% CI, -0.13, 0.02). CONCLUSIONS: A modest inverse association between former cannabis use and fibrinogen was observed. Additional studies are needed to investigate the immunomodulatory effects of cannabis while considering different cannabis preparation and mode of use.