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.

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.

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.

"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).

Does Starting to Smoke Cigars Trigger Onset of Cannabis Blunt Smoking?

Introduction: Among United States teens during the 1990s, increasing cigar use coincided with increasing use of tobacco cigar shells filled with cannabis, called "blunts." Cigar smokers are more likely to use cannabis, and we hypothesized that starting to smoke cigars might be a probabilistic "trigger" of blunt smoking. We turned to the case-crossover approach to evaluate this hypothesis. Methods: Within US National Surveys on Drug Use and Health, 2009-2013, we identified a nationally representative sample of newly incident blunt smokers aged 12- to 21-years-old (n = 4868) and compared month-of-onsets for smoking of cigars and blunts. Using the subjects-as-their-own-controls case-crossover design, we specified the first month prior to blunt use as a "hazard interval" and the second month prior to blunt use as a "control interval." We used Mantel-Haenszel (MH) estimators to estimate the matched-pairs odds ratio (OR). Results: The MH OR estimate was 1.7 (95% CI = 1.3, 2.3), with excess odds of cigar onsets during the hazard interval relative to the control interval. Two alternative control interval specifications yielded congruent estimates (OR = 2.7 and 2.9, respectively). Conclusions: A short interval right after starting to smoke cigars may be one of increased risk of starting to smoke blunts. We discuss cigar, cigarillo, and "blunt wraps" control approaches that might reduce both tobacco and cannabis-related harms. Implications: If this evidence is correct, increased market-targeting to promote youthful cigar and cigarillo smoking might be followed by increased rates of blunt smoking in a vulnerable population. As noted by others, enhanced risk of smoking-attributable harms might be a consequence of mixed tobacco-cannabis formulations.

A new era for drinking? Epidemiological evidence on adolescent male-female differences in drinking incidence in the United States and Europe.

PURPOSE: We seek answers to three questions about adolescent risk of starting to drink alcoholic beverages: (1) in new United States (US) data, can we reproduce a recently discovered female excess risk? (2) has a female excess risk emerged in European countries? and (3) might the size of country-level female-male differences (FMD) be influenced by macro-level gender equality and development processes? METHODS: Estimates are from US and European surveys of adolescents, 2010-2014. For US estimates, newly incident drinking refers to consuming the first full drink during the 12-month interval just prior to assessment. For all countries, lifetime cumulative incidence of drinking refers to any drinking before assessment of the sampled 15-16 years. RESULTS: Cumulative meta-analysis summary estimates from the US show a highly reproducible female excess in newly incident drinking among 12-17 years (final estimated female-male difference in risk, FMD = 2.1%; 95% confidence interval = 1.5%, 2.7%). Several European countries show female excess risk, estimated as lifetime cumulative incidence of drinking onsets before age 17 years. At the country level, the observed magnitude of FMD in risk is positively associated with the Gender Development Index (especially facets related to education and life expectancy of females relative to males), and with residence in a higher income European country. CONCLUSIONS: New FMD estimates support reproducibility of a female excess risk in the US. In Europe, evidence of a female excess is modest. Educational attainment, life expectancies, and income merit attention in future FMD research on suspected macro-level processes that influence drinking onsets.

Nonmedical Opioid Pain Relievers and All-Cause Mortality: A 27-Year Follow-Up From the Epidemiologic Catchment Area Study.

OBJECTIVES: We investigated whether nonmedical opioid pain reliever use is associated with higher mortality in the general US population. METHODS: We assessed the history of nonmedical opioid pain reliever use among 9985 people interviewed at baseline of the Epidemiologic Catchment Area Program initiated in 1981 to 1983 in Baltimore, Maryland; St. Louis, Missouri; and Durham, North Carolina. We linked the data with the National Death Index through 2007. RESULTS: Nonmedical opioid pain reliever use was 1.4%. Compared with no nonmedical drug use, mortality was increased for nonmedical opioid pain reliever use (hazard ratio [HR] = 1.60; 95% confidence interval [CI] = 1.01, 2.53) or nonmedical use of other drugs (HR = 1.31; 95% CI = 1.07, 1.62). Mortality was also higher for males and for those beginning nonmedical opioid pain reliever use before aged 15 years. CONCLUSIONS: A history of nonmedical opioid pain reliever use was associated with increased mortality, in particular for males and early onset users.

Taking the First Full Drink: Epidemiological Evidence on Male-Female Differences in the United States.

BACKGROUND: This research extends prior epidemiological estimates for the United States and re-examines a previously described male excess in alcohol drinking. Its aim was to estimate fine-grained age-specific incidence of becoming a drinker among 12- to 24-year-old U.S. males and females, and to compare incidence estimates with prevalence proportions. METHODS: The study population is 12- to 24-year-old noninstitutionalized U.S. civilian residents. Estimates are from 12 successive U.S. National Surveys on Drug Use and Health (NSDUH), with nationally representative samples drawn each year from 2002 to 2013 and assessed via computer-assisted self-interviews (n ~ 390,000). Analysis-weighted incidence and prevalence estimates are generated using the NSDUH Restricted Data Analysis System for 6 year-pairs. Meta-analysis-derived summary estimates are provided, treating each year-pair as a replication. RESULTS: In this 21st century evidence, there no longer is male excess of incidence with respect to underage drinking. Indeed, in mid-adolescence, there is a clear female excess for the risk of becoming an underage drinker. Meta-analytic summaries disclosed no other male-female differences in incidence. Nevertheless, a male excess in the prevalence of recently active drinking can be seen after the age of 19 years. CONCLUSIONS: This new evidence from the United States shows that the so-called "gender gap" in risk of becoming a drinker has narrowed to the point of there being no gap at all. Indeed, in mid-adolescence, risk of starting to drink is greater for females than for males.

Inverse association linking serum levels of potential antioxidant vitamins with C-reactive protein levels using a novel analytical approach.

Exposures to antioxidants (AO) are associated with levels of C-reactive protein (CRP), but the pattern of evidence is mixed, due in part to studying each potential AO, one at a time, when multiple AO exposures might affect CRP levels. By studying multiple AO via a composite indicator approach, we estimate the degree to which serum CRP level is associated with serum AO level. Standardised field survey protocols for the US National Health and Nutrition Examination Survey (NHANES) 2003-2006 yielded nationally representative cross-sectional samples of adults aged 20 years and older (n 8841). NHANES latex-enhanced nephelometry quantified serum CRP levels. Liquid chromatography quantified serum concentrations of vitamins A, E and C and carotenoids. Using structural equations, we regressed CRP level on AO levels, and derived a summary estimate for a composite of these potential antioxidants (CPA), with covariates held constant. The association linking CPA with CRP was inverse, stronger for slightly elevated CRP (1·8≤CRP<10 mg/l; slope= -1·08; 95 % CI -1·39, -0·77) and weaker for highly elevated CRP (≥10 mg/l; slope= -0·52; 95 % CI -0·68, -0·35), with little change when covariates were added. Vitamins A and C, as well as lutein+zeaxanthin, were prominent contributors to the composite. In these cross-sectional data studied via a composite indicator approach, the CPA level and the CRP level were inversely related. The stage is set for more confirmatory longitudinal or intervention research on multiple vitamins. The composite indicator approach might be most useful in epidemiology when several exposure constructs are too weakly inter-correlated to be studied via formal measurement models for underlying latent dimensions.

Inter-relationships Linking Probability of Becoming a Case of Nicotine Dependence With Frequency of Tobacco Cigarette Smoking.

INTRODUCTION: Once smoking starts, some tobacco cigarette smokers (TCS) can make very rapid transitions into tobacco dependence syndromes (TCD). With adjustment for smoking frequency, we posit female excess risk for this rapid-onset TCD. In a novel application of functional analysis for tobacco research, we estimate four Hill function parameters and plot TCD risk against a gradient of smoking frequency, as observed quite soon after smoking onset. METHODS: In aggregate, the National Surveys of Drug Use and Health, 2004-2013, identified 1546 newly incident TCS in cross-sectional research, each with standardized TCD assessment. RESULTS: Hill function estimates contradict our apparently over-simplistic hypothesis. Among newly incident TCS males with only 1-3 recent smoking days, an estimated 1%-3% had become rapid-onset TCD cases; non-overlapping confidence intervals show lower TCD risk for females. In contrast, among daily smokers, closer to 50% of female TCS showed rapid-onset TCD, versus under 20% of male TCS, but a larger sample will be needed to confirm the apparent female excess risk at the daily smoking frequency level. CONCLUSIONS: Smoking frequency and TCD onset become inter-dependent quite soon after TCS onset. Feedback loops are expected, and might explain a potential reversal of male-female differences across smoking frequency gradients. These novel epidemiological estimates prompt new thinking and questions about interventions. IMPLICATIONS: In this large sample epidemiological study, with a nationally representative sample of newly incident TCS assessed cross-sectionally, we see a quite rapid onset of tobacco dependence, with an early male excess that fades out at higher levels of smoking frequency. Next steps include development of outreach and intervention for this very rapid-onset tobacco dependence.

Cannabis Smoking and Diabetes Mellitus: Results from Meta-analysis with Eight Independent Replication Samples.

BACKGROUND: In preclinical animal studies, evidence links cannabis with hyperphagia, obesity, and insulin resistance. Epidemiologic data, however, suggest an inverse cannabis smoking-diabetes mellitus association. Here, we offer epidemiologic estimates from eight independent replications from (1) the National Health and Nutrition Examination Surveys, and (2) the National Surveys on Drug Use and Health (2005-2012). METHODS: For each national survey participant, computer-assisted self-interviews assess cannabis smoking and physician-diagnosed diabetes mellitus; the National Health and Nutrition Examination Surveys provide additional biomarker values and a composite diabetes diagnosis. Regression analyses produce estimates of cannabis smoking-diabetes associations. Meta-analyses summarize the replication estimates. RESULTS: Recently active cannabis smoking and diabetes mellitus are inversely associated. The meta-analytic summary odds ratio is 0.7 (95% confidence interval = 0.6, 0.8). CONCLUSIONS: Current evidence is too weak for causal inference, but there now is a more stable evidence base for new lines of clinical translational research on a possibly protective (or spurious) cannabis smoking-diabetes mellitus association suggested in prior research.

Month-wise estimates of tobacco smoking during pregnancy for the United States, 2002-2009.

The timing of prenatal exposure to tobacco cigarette smoking can be crucial for the developing fetus. Pushing the field beyond prior pregnancy trimester-focused smoking estimates, we estimated month-specific prevalence proportions for tobacco cigarette smoking among pregnant and non-pregnant women of the United States, with consideration of tobacco dependence (TD) as well. In advance, we posited that pregnancy onset might prompt smoking cessation in early months, before the end of the 1st trimester, and that TD might account for sustained smoking in later months, especially months 8-9, when there are added reasons to quit. Estimates are from the 2002-2009 National Surveys on Drug Use and Health Restricted-Data Analysis System (R-DAS), with large nationally representative samples of US civilians, including 12-44 year old women (n ~ 70,000) stratified by pregnancy status and month of pregnancy, with multi-item assessment of TD as well as recently active smoking. Age was held constant via the Breslow-Day indirect standardization approach, a methodological detail of potential interest to other research teams conducting online R-DAS analyses. Among 12-44 year old women in Month 1 of pregnancy, as well as non-pregnant women, just over one in four was a recently active smoker (26-27 %), and approximately one-half of these smokers qualified as a TD case (52 %). Corresponding estimates for women in Month 3 were 17.6 % and two-thirds, respectively, lending some support for our advance hypotheses. Nonetheless, our a priori TD hypothesis about Months 8-9 seems to be contradicted: an increased concentration of TD among smokers surfaced early in pregnancy. Evidence of a possible ameliorative pregnancy effect on smoking prevalence as well as TD's effect on smoking persistence might be seen quite early in pregnancy. Substitution of a month-specific view for the traditional trimester view sheds new light on how pregnancy might shape smoking behavior before the end of trimester 1, with TD seeming to thwart a public health goal of 100 % cessation, early in pregnancy.

Monitoring by Parents and Hypothesized Male-Female Differences in Evidence from a Nationally Representative Cohort Re-sampled from Age 12 to 17 Years: An Exploratory Study Using a "Mutoscope" Approach.

The link between adept parental monitoring (PM) and later positive behavioral and health outcomes already has motivated intervention trials, but questions remain about which specific facets and mechanisms of PM make a difference. Our current research questions concern fundamental male-female differences in PM facets as manifest in a US cohort, re-sampled each year at age 12 through 17 years during an interval from 2004 to 2009. We hypothesized emergence, by mid-adolescence, of a specific male-female difference in a "limit time with friends" (LTF) facet of adept PM, with overall PM levels held constant. The data, arranged using a "mutoscope" approach, are from six successive nationally representative independent cross-sectional sample surveys of the cohort, with each adolescent measured only once, via a multi-item PM module nested within the larger survey. Estimates and tests of male-female differences are from a "multiple indicators, multiple causes" latent structure model appropriate for complex survey data. In evidence consistent with the advance hypothesis and with PM level held constant via the model, the LTF facet generally was more relaxed for boys as compared to girls, in a difference that emerged by mid-adolescence, possibly due to greater LTF constraints for girls at mid-adolescence. This research adds to the knowledge base about male-female similarities and differences in facets of PM. As a specific PM facet, LTF might function as a mechanism suitable for deliberate intervention and as a possible specific target in "micro-trials" of new prevention research. We acknowledge limitations such as omitted variables, including social media effects, not measured in this investigation's national surveys, but of potential importance in future research on peer influence as might have more distal parenting determinants.

A non-parametric approach for detecting gene-gene interactions associated with age-at-onset outcomes.

BACKGROUND: Cox-regression-based methods have been commonly used for the analyses of survival outcomes, such as age-at-disease-onset. These methods generally assume the hazard functions are proportional among various risk groups. However, such an assumption may not be valid in genetic association studies, especially when complex interactions are involved. In addition, genetic association studies commonly adopt case-control designs. Direct use of Cox regression to case-control data may yield biased estimators and incorrect statistical inference. RESULTS: We propose a non-parametric approach, the weighted Nelson-Aalen (WNA) approach, for detecting genetic variants that are associated with age-dependent outcomes. The proposed approach can be directly applied to prospective cohort studies, and can be easily extended for population-based case-control studies. Moreover, it does not rely on any assumptions of the disease inheritance models, and is able to capture high-order gene-gene interactions. Through simulations, we show the proposed approach outperforms Cox-regression-based methods in various scenarios. We also conduct an empirical study of progression of nicotine dependence by applying the WNA approach to three independent datasets from the Study of Addiction: Genetics and Environment. In the initial dataset, two SNPs, rs6570989 and rs2930357, located in genes GRIK2 and CSMD1, are found to be significantly associated with the progression of nicotine dependence (ND). The joint association is further replicated in two independent datasets. Further analysis suggests that these two genes may interact and be associated with the progression of ND. CONCLUSIONS: As demonstrated by the simulation studies and real data analysis, the proposed approach provides an efficient tool for detecting genetic interactions associated with age-at-onset outcomes.

Alcohol abuse in developed and developing countries in the World Mental Health Surveys: Socially defined consequences or psychiatric disorder?

BACKGROUND: Previous single country research has raised concerns that: (1) the DSM-IV diagnosis of alcohol abuse (AA) is met primarily through the hazardous use criterion related to drinking and driving and (2) that the hazardous use and social consequences AA criteria primarily reflect varying socioeconomic and cultural factors rather than psychiatric disorder. METHODS: Using representative cross-national data from the 21 countries in the World Mental Health surveys, adults meeting DSM-IV lifetime criteria for AA but not dependence from 10 developed (n=46,071) and 11 developing (n=49,761) countries were assessed as meeting AA with the hazardous use or the social consequences criteria. RESULTS: Between 29.3% (developed) and 16.2% (developing) of respondents with AA met only the hazardous use criterion. AA cases with and without hazardous use were similar in age-of-onset, course, predictors, and psychopathological consequences in both developed and developing countries. DISCUSSION AND CONCLUSIONS: Despite some associations of the AA criteria with socioeconomic factors, the hazardous use and social consequences criteria were significantly associated with psychiatric predictors and sequelae. The findings indicate that these criteria reflect psychiatric disorder and are appropriate for inclusion as DSM-5 Alcohol Use Disorder criteria. SCIENTIFIC SIGNIFICANCE: These findings support a psychiatric rather than a sociocultural view of the hazardous use and social consequences symptoms and provide evidence that they are appropriate diagnostic criteria cross-nationally with utility in a wide range of socioeconomic environments. This suggests consideration for their adoption by ICD-11. Further research is needed on the implications of these results for prevention and treatment.

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.

The relationship of mental and behavioral disorders to all-cause mortality in a 27-year follow-up of 4 epidemiologic catchment area samples.

Subjects from the Epidemiologic Catchment Area Program, interviewed during 1979-1983, were linked to data in the National Death Index through 2007 to estimate the association of mental and behavioral disorders with death. There were more than 25 years of follow-up for 15,440 individuals, with 6,924 deaths amounting to 307,881 person-years of observation. Data were analyzed by using age as the time scale and parametric approaches to quantify the years of life lost due to disorders. Alcohol, drug use, and antisocial personality disorders were associated with increased risk of death, but there was no strong association with mood and anxiety disorders. Results of high- and low-quality matches with the National Death Index were similar. The 3 behavioral disorders were associated with 5-15 years of life lost, estimated along the life course via the generalized gamma model. Regression tree analyses showed that risk of death was associated with alcohol use disorders in nonblacks and with drug disorders in blacks. Phobia interacted with alcohol use disorders in nonblack women, and obsessive-compulsive disorder interacted with drug use disorders in black men. Both of these anxiety disorders were associated with lower risk of death early in life and higher risk of death later in life.

Toward primary prevention of extra-medical OxyContin® use among young people.

OBJECTIVE: The prevention research context includes current epidemic levels of hazards associated with extra-medical use of OxyContin® (to get high or otherwise outside prescribed boundaries) among teenagers and young adults, and a recent OxyContin® re-formulation with an intent to reduce these hazards, plus hope for possibly beneficial primary prevention impact. The aim is to create a benchmark of risk estimates for the years just prior to OxyContin® re-formulation in anticipation of potential public health benefit in future years, with a focus on teens and the youngest adults in the United States, and to compare two methods for estimating peak risk. METHOD: The data are from nationally representative probability sample surveys of 12-21 year olds, yielding estimates for incidence of extra-medical OxyContin® use. Samples are of the non-institutionalized United States population, recruited and assessed in National Surveys on Drug Use and Health (NSDUH), each year from 2004 through 2008. In aggregate, the sample includes 135,552 young people who had not used OxyContin® extra-medically prior to their year of survey assessment. RESULTS: The main outcome was the estimated population-level age-specific incidence of extra-medical OxyContin® use, 2004-2008. We found that during the 2004-2008 interval the estimated risk accelerated from age 12 years, reached a peak value in mid-adolescence at roughly five newly incident users per 1000 persons per year (95% confidence intervals, 0.3%, 0.7%), and then declined. A meta-analysis approach to year-by-year data differentiated age patterns more clearly than a pooled estimation approach. CONCLUSION: Studying young people in the United States, we have discovered that the risk of starting to use OxyContin® extra-medically rises to a peak by mid-adolescence and then declines. From a methods standpoint, the meta-analysis serves well in this context; there is no advantage to pooling survey data across years. We also discovered that during any given year a pediatrician might rarely see even one patient who has just started to use OxyContin® to get high or for other extra-medical purposes. Implications for screening are discussed.

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.

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.