Comparing the Performance of World Mental Health Composite International Diagnostic Interview Substance Abuse Module in Adolescents to Diagnoses Made by Pediatric Addiction Medicine Specialists.

OBJECTIVES: The World Mental Health Composite International Diagnostic Interview Substance Abuse Module (WMH-CIDI-SAM) is commonly used as a criterion standard measure for substance use disorder (SUD) diagnoses, although the accuracy of this tool when used with adolescents is unknown. The objective of this study was to evaluate the agreement between SUD diagnoses for adolescents made by WMH-CIDI-SAM and those made by specialists based on Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) ( DSM-5 ) SUD criteria during an SUD evaluation. METHODS: Adolescents aged 12 to 17 years presenting to an outpatient SUD program for youth were administered the WMH-CIDI-SAM by a trained research assistant, and results were compared with diagnoses made by experienced clinicians based on DSM-5 SUD criteria during an initial SUD evaluation. Chance-corrected concordance was estimated using the κ coefficient for the comparisons. RESULTS: The level of concordance between the WMH-CIDI-SAM interview and the clinician diagnosis based on DSM-5 SUD criteria were fair to moderate for alcohol use disorder and tobacco use disorder and poor for cannabis use disorder. Three of 11 WMH-CIDI-SAM item constructs showed poor concordance with clinician diagnosis. CONCLUSIONS: Interpreting the diagnostic criteria for SUDs, particularly cannabis use disorders, is nuanced, and the meaning of the criteria may be misunderstood by adolescents. Further evaluation of the performance of the WMH-CIDI-SAM diagnostic interview for identifying cannabis use disorders in adolescents is needed.

Substance Use and Educational Impacts in Youth With and Without Chronic Illness.

INTRODUCTION: Alcohol, cannabis, and nicotine are commonly used psychoactive substances that affect adolescent neurocognition. Little is known about the educational impacts of their use on measures of educational performance, participation and problems, especially among youth with a chronic illness who may use these substances to alleviate stress and symptoms. METHODS: Adolescents receiving general or subspecialty care were administered an electronic survey from 2016 to 2018. Data were analyzed in 2023. Using modified Poisson models, cross-sectional associations between past 12-month usage of alcohol, cannabis, and/or nicotine and educational impacts were estimated. RESULTS: Among 958 adolescents (mean age 16.0 years (SD 1.3), 564 (58.9%) female gender, 445 (46.5%) in subspecialty care), 294 (30.7%), 220 (23.0%), and 126 (13.2%) reported past 12-month use of alcohol, cannabis, and nicotine respectively, while 407 (42.5%) reported ≥1 educational impact, including recent lower grades 210 (21.9%), past 3-month truancy from school 164 (17.1%) or activities 170 (17.7%), and detention 82 (8.6%). Use of cannabis, but not other substances, was associated with negative educational impacts: lower grades (mostly C's/D's/F's), adjusted prevalence ratios [APR, (95% CI)] 1.54 (1.13-2.11); past 3-month truancy from school [2.16 (1.52-3.07)]; detention [2.29 (1.33-3.94)]. The association between cannabis use and any negative educational impact was stronger among adolescents with a chronic illness (p<0.001). CONCLUSIONS: Among adolescents, cannabis use was associated with a heightened risk of negative educational impacts, even after controlling for alcohol and nicotine use. Adolescents with chronic illness were especially likely to experience negative educational impacts. Findings underscore need for preventive interventions and messaging to reduce risks.

Pediatric Subspecialist Alcohol Screening Rates and Concerns About Alcohol and Cannabis Use Among Their Adolescent Patients.

PURPOSE: Pediatric specialty care provides an opportunity to screen for and address patient substance use; however, little is known about providers' screening rates, their opinions regarding substance use harms, or the potential marijuana to be used as a medication. METHODS: We surveyed national convenience samples of pediatric endocrinologists (N = 142) and rheumatologists (N = 83) and used descriptive statistics and multivariate logistic regression to examine alcohol screening rates, barriers, and for medical use of marijuana, differences between subspecialist concerns. RESULTS: In all, 36.4% of providers reported screening adolescent patients annually or more, and a majority expressed concerns about impacts on disease management (80.0%/80.0%) and symptom management (69.3%/53.3%) from alcohol and marijuana, respectively. Nearly equal proportions disagreed (30.2%), were neutral (34.7%), or agreed (35.1%) that some patients would benefit from medical marijuana, although majorities were not comfortable recommending marijuana (62.7%) and did not believe marijuana is standardized enough to be used as medication (57.8%). DISCUSSION: Fewer than half of the subspecialists in our study routinely screen their adolescent patients for substance use, although many have concerns regarding the impacts of alcohol and marijuana use on their patients. Education and training on best practice could help to increase screening rates. There is agreement that marijuana is not standardized enough to be used as a medication. There is also a broad range of opinions regarding the pharmaceutical potential of marijuana and concerns about the impact of marijuana on underlying chronic medical conditions, which should be considered as marijuana policy continues to evolve.

Association of Screening and Brief Intervention With Substance Use in Massachusetts Middle and High Schools.

Importance: Screening and brief intervention (SBI) programs in schools have the potential to provide substance use prevention messages to large numbers of adolescents. This study evaluated the association between exposure to a school-based SBI program and reductions in substance use among youths after enactment of a law that required Massachusetts schools to provide SBI to all students. Objective: To estimate the association between exposure to a school-based SBI program and changes in substance use among youths. Design, Setting, and Participants: In this mixed-method quality improvement study using an effectiveness-implementation hybrid design, stakeholder interviews were conducted to describe the operations, timing, and impressions of SBI implementation at 14 intervention schools in Massachusetts. Repeated cross-sectional surveys of youths in intervention and comparison groups were administered between December 19, 2017, and May 22, 2019, to assess substance use and associated measures of perceived risk, knowledge, and adult support before and approximately 3 months after SBI implementation among exposed groups. A difference-in-differences framework was used to estimate substance use outcomes associated with SBI exposure among students in middle school (grades 7 and 8) and high school (grades 9 and 10) using adjusted overlap-weighted generalized models to account for covariate imbalance between exposed and unexposed school grades. In addition, 14 school staff members were interviewed about implementation. Exposures: Exposure vs nonexposure to a school-based SBI program. Main Outcomes and Measures: Frequency of alcohol, cannabis, and e-cigarette use (measured in days) and any binge drinking in the past 3 months. Results: Between December 2017 and May 2019, 8771 survey responses were collected from 4587 students in grades 7 through 10 who were attending one of 23 participating school districts. The median (IQR) age was 13 (13-14) years (range, 12-17 years); 2226 students self-identified as female (48.5%), 2206 (48.1%) as male, and 155 (3.4%) as transgender or preferred not to answer. Overall, 163 students (3.6%) identified their race as Asian, 146 (3.2%) as Black or African American, 2952 (64.4%) as White, and 910 (19.8%) as mixed or other race (including American Indian or Alaska Native and Native Hawaiian or Pacific Islander); 416 students (9.1%) preferred not to answer or were missing data on race. A total of 625 students (13.6%) identified their ethnicity as Hispanic and 3962 (86.4%) as non-Hispanic. Cannabis use increased over time in both the SBI group (middle school: marginal estimated probability, 0.73 [95% CI, 0.21-2.51] at baseline vs 2.01 [95% CI, 0.60-6.70] at follow-up; high school: marginal estimated probability, 2.86 [95% CI, 0.56-14.56] at baseline vs 3.10 [95% CI, 0.57-16.96] at follow-up) and the control group (middle school: marginal estimated probability, 0.24 [95% CI, 0.05-1.03] at baseline vs 3.38 [95% CI, 0.81-14.18] at follow-up; high school: marginal estimated probability, 1.30 [95% CI, 0.27-6.29] at baseline vs 1.72 [95% CI, 0.34-8.66] at follow-up). e-cigarette use also increased over time in both the SBI group (middle school: marginal estimated probability, 0.81 [95% CI, 0.22-3.01] at baseline vs 1.94 [95% CI, 0.53-7.02] at follow-up; high school: marginal estimated probability, 3.82 [95% CI, 0.72-20.42] at baseline vs 3.51 [95% CI, 0.55-22.59] at follow-up) and the control group (middle school: marginal estimated probability, 0.51 [95% CI, 0.12-2.30] at baseline vs 3.40 [95% CI, 0.72-16.08] at follow-up; high school: marginal estimated probability, 2.29 [95% CI, 0.41-12.65] at baseline vs 3.53 [95% CI, 0.62-20.16] at follow-up). Exposure to SBI was associated with a significantly smaller increase in the rate of cannabis use among middle school students (adjusted rate ratio [aRR], 0.19; 95% CI, 0.04-0.86) and significantly smaller increases in the rates of cannabis and e-cigarette use among all female students (cannabis use: aRR, 0.17 [95% CI, 0.03-0.96]; e-cigarette use: aRR, 0.16 [95% CI, 0.03-0.82]) compared with nonexposure. No other significant differences were observed among students in grades 7 and 8, and no differences were found in any comparison between groups in grades 9 and 10. Conclusions and Relevance: In this quality improvement study, exposure to a school-based SBI program was associated with a significantly smaller increase in the rate of cannabis use among middle school students and significantly smaller increases in the rates of cannabis and e-cigarette use among all female students. These findings suggest that implementation of SBI programs in schools may help to reduce substance use among middle school and female students, and further study of these programs is warranted.

Self-Reported Health Outcomes of Children and Youth with 10 Chronic Diseases.

OBJECTIVES: To identify pediatric patient-reported outcomes (PROs) that are associated with chronic conditions and to evaluate the effects of chronic disease activity on PROs. STUDY DESIGN: Participants (8-24 years old) and their parents were enrolled into 14 studies that evaluated Patient-Reported Outcome Measurement Information System PROs across 10 chronic conditions-asthma, atopic dermatitis, cancer, cancer survivors, chronic kidney disease, Crohn's disease, juvenile idiopathic arthritis, lupus, sickle cell disease, and type 1 diabetes mellitus. PRO scores were contrasted with the US general population of children using nationally representative percentiles. PRO-specific coefficients of variation were computed to illustrate the degree of variation in scores within vs between conditions. Condition-specific measures of disease severity and Cohen d effect sizes were used to examine PRO scores by disease activity. RESULTS: Participants included 2975 child respondents and 2392 parent respondents who provided data for 3409 unique children: 52% were 5-12 years old, 52% female, 25% African American/Black, and 14% Hispanic. Across all 10 chronic conditions, children reported more anxiety, fatigue, pain, and mobility restrictions than the general pediatric population. Variation in PRO scores within chronic disease cohorts was equivalent to variation within the general population, exceeding between-cohort variation by factors of 1.9 (mobility) to 5.7 (anxiety). Disease activity was consistently associated with poorer self-reported health, and these effects were weakest for peer relationships. CONCLUSIONS: Chronic conditions are associated with symptoms and functional status in children and adolescents across 10 different disorders. These findings highlight the need to complement conventional clinical evaluations with those obtained directly from patients themselves using PROs.

Validation of a single question for the assessment of past three-month alcohol consumption among adolescents.

BACKGROUND: Screening, Brief Intervention, and Referral to Treatment (SBIRT) for substance use is increasingly used in clinical care. Despite its endorsement by several professional societies, the U.S. Preventive Services Task Force has found the evidence base for adolescent SBIRT to be insufficient. A measure of substance use that is brief enough to embed in the electronic medical record could be used in pragmatic trials that enroll large numbers of primary care patients, facilitating research in this area. METHODS: Participants aged 14-18 years (N = 492) completed an electronic survey that included a 90-day Timeline Follow Back (TLFB) Calendar, considered the criterion standard, along with three survey questions about the frequency of their alcohol use: days of use in the past three months, average days of use per week in the past three months, and average days of use per month in the past year. We calculated the correlation between the number of days reported on each of the three questions and the total number of days of use reported on the TLFB. RESULTS: The question on number of days of use in the past three months was highly correlated with alcohol consumption frequency on the 90-day TLFB assessment (rho = 0.903). Other items displayed lower but satisfactory correlation with the TLFB (rho = 0.719-0.830). CONCLUSIONS: A single question about past 3-month frequency of alcohol use was highly correlated with alcohol use frequency on the criterion standard TLFB among adolescents presenting for routine primary care.

Co-occurring Substance Use Disorders in Youth With Chronic Medical Conditions: The Need for Integration of Addiction Treatment into Mainstream Medical Facilities.

: Approximately 5% of adolescents in the US meet criteria for a substance use disorder (SUD), and many of them benefit from residential treatment programs at points in the course of the disorder to achieve early sobriety and stabilization. Youth with chronic medical conditions use alcohol, marijuana, and other substances at levels similar to peers, but are at greater risk of progression to heavy or problem use of alcohol, marijuana, and tobacco by young adulthood and often encounter unique treatment barriers that limit access to an appropriate level of care. We describe 2 such adolescents; a 15-year-old boy with type 1 diabetes who experienced interruptions in substance use treatment because of concerns regarding routine glycemic management and a 17-year-old boy with inflammatory bowel disease, who experienced treatment delays in the context of increasing alcohol and marijuana use because of digestive symptoms. For both of these adolescents, lack of access to professionals who could manage chronic medical conditions prevented delivery of substance use treatment and resulted in an increase in substance use behaviors. These cases illustrate the need for integrated substance use care within medical specialty settings. We propose opportunities for improvement, such as providing cross-training for medical and addiction treatment teams and integration of substance use treatment within traditional medical facilities.

Screening and Counseling for Alcohol Use in Adolescents With Chronic Medical Conditions in the Ambulatory Setting.

PURPOSE: We seek to determine how youth with chronic medical conditions experience alcohol screening and counseling. METHODS: Adolescents with type I diabetes, juvenile idiopathic arthritis, moderate persistent asthma, cystic fibrosis, attention deficit hyperactivity disorder, or inflammatory bowel disease were surveyed. Descriptive statistics and regression analysis quantified rates of asking and counseling about alcohol. RESULTS: Of 390 participants (75.1% white/non-Hispanic, 51.8% female, average age 16.4 years), 70% reported being asked about their alcohol use by a healthcare provider, and 76% reported receiving at least one message regarding alcohol and health. Of past year drinkers, 54% disclosed use to their provider. Only 2.0% of youth reported receiving the message "I should not drink." CONCLUSIONS: Most youth with chronic medical conditions were asked and counseled about alcohol use although few heard unambiguous recommendations to avoid alcohol consumption.

Parental views on state cannabis laws and marijuana use for their medically vulnerable children.

BACKGROUND: Given a rapidly changing policy landscape, we sought to characterize the effects of state marijuana laws on parents' views of marijuana use by their teenage children. METHODS: Data are from 595 respondents to a nationally administered, web-based survey of parents of adolescents (ages 13-18 years) with any of three chronic conditions (type 1 diabetes, rheumatic disease, attention-deficit/hyperactivity disorder). Multivariate ordinal logistic regression was used to model the effects of parents' reports of state cannabis laws on their views toward marijuana use by their child. RESULTS: While 89.9% said any marijuana use was risky for their child, 27.9% would approve of its use if prescribed as medicine. Parents reporting marijuana decriminalization (11.1%) were more amenable to teenage use, less concerned about how marijuana might impact their child's condition, more accepting of the safety of marijuana as medicine, and approved its use with a prescription. Parents reporting legal medical (35.6%) or recreational (5.7%) use were more likely to report that their child has tried or used marijuana regularly. Parents reporting legal recreational use were less likely to agree that marijuana has medical benefits for their child. CONCLUSIONS: Among parents of medically vulnerable children, perceiving state marijuana policies as more permissive is strongly associated with lower perceived riskiness of marijuana use for their children. State marijuana policies are changing with implications for how parents of medically vulnerable youth view and potentially govern marijuana use by their medically vulnerable children.

Depressive Symptoms and Suicidality in Adolescents Using e-Cigarettes and Marijuana: A Secondary Data Analysis From the Youth Risk Behavior Survey.

OBJECTIVES: E-cigarette use has increased dramatically among adolescents in the past 5 years alongside a steady increase in daily use of marijuana. This period coincides with a historic rise in depression and suicidal ideation among adolescents. In this study, we describe the associations between e-cigarette and marijuana use and depressive symptoms and suicidality in a large nationally representative sample of high school students. METHODS: We used data from the 2 most recent waves (2015 and 2017) of the Youth Risk Behavior Survey. Our sample (n = 26,821) included only participants with complete information for age, sex, race/ethnicity, and exposure to e-cigarettes and marijuana (89.5% of survey respondents). We performed multivariate logistic regressions to explore the associations between single or dual use of e-cigarette and marijuana and depressive and suicidal symptoms in the past year adjusting for relevant confounders. RESULTS: E-cigarette-only use was reported in 9.1% of participants, marijuana-only use in 9.7%, and dual e-cigarette/marijuana use in 10.2%. E-cigarette-only use (vs no use) was associated with increased odds of reporting suicidal ideation (adjusted odds ratio [AOR]:1.23, 95% CI 1.03-1.47) and depressive symptoms (AOR: 1.37, 95% CI 1.19-1.57), which was also observed with marijuana-only use (AOR: 1.25, 95% CI 1.04-1.50 and AOR: 1.49, 95% CI 1.27-1.75) and dual use (AOR: 1.28, 95% CI 1.06-1.54 and AOR: 1.62, 95% CI 1.39-1.88). CONCLUSIONS: Youth with single and dual e-cigarette and marijuana use had increased odds of reporting depressive symptoms and suicidality compared to youth who denied use. There is a need for effective prevention and intervention strategies to help mitigate adverse mental health outcomes in this population.

Alcohol Use and Alcohol-Interactive Medications Among Medically Vulnerable Youth.

BACKGROUND AND OBJECTIVES: Despite their medical vulnerability, youth with chronic medical conditions (YCMCs) drink at levels commensurate with healthy youth. However, information about the prevalence of alcohol use among YCMCs who take alcohol-interactive (AI) medications is scant. To address gaps and inform interventions, we quantified simultaneous exposure to alcohol use and AI medications among YCMCs, hypothesizing that AI exposure would be associated with lower alcohol consumption and mediated by perceptions of alcohol-medication interference. METHODS: Adolescents with type 1 diabetes, juvenile idiopathic arthritis, moderate persistent asthma, cystic fibrosis, attention-deficit/hyperactivity disorder, or inflammatory bowel disease completed an electronic survey. We measured the prevalence of exposure to AI medications and the associations with past-year alcohol use as well as binge drinking and total consumption volume in the past 3 months using multivariate regression to estimate the odds of alcohol use given AI medication exposure and perceptions of interference. RESULTS: Of 396 youth, 86.4% were on AI medications, of whom, 35.4% reported past-year alcohol use (46.3% among those who were not on AI medications). AI medication use was associated with 43% lower odds of past-year alcohol use (adjusted odds ratio: 0.57; 95% confidence interval: 0.39-0.85) and lower total consumption (ß = -.43; SE = 0.11; P < .001). Perceptions of alcohol-medication interference partially mediated the relationship between AI medication exposure and past-year alcohol use (Sobel test P = .05). CONCLUSIONS: Many YCMCs reported using alcohol; however, drinking was less likely among those who were taking AI medications. Perceptions about alcohol-medication interference mediated the association between drinking and AI medication exposure, suggesting the potential salience of interventions that emphasize alcohol-related risks.

Family health history reporting is sensitive to small changes in wording.

PURPOSE: Family health history is often collected through single-item queries that ask patients whether their family members are affected by certain conditions. The specific wording of these queries may influence what individuals report. METHODS: Parents of Boston Children's Hospital patients were invited to participate in a Web-based survey about the return of individual genomic research results regarding their children. Participants reported whether 11 types of medical conditions affected them or their family. Randomization determined whether participants were specifically instructed to consider their extended family. RESULTS: Family health history was reported by 2,901 participants. Those asked to consider their extended family were more likely to report a positive family history for 8 of 11 medical conditions. The largest differences were observed for cancer (65.1 vs. 45.7%; P < 0.001), cardiovascular conditions (72.5 vs. 56.0%; P < 0.001), and endocrine/hormonal conditions (50.9 vs. 36.7%; P < 0.001). CONCLUSIONS: Small alterations to the way family health history queries are worded can substantially change patient responses. Clinicians and researchers need to be sensitive about patients' tendencies to omit extended family from health history reporting unless specifically asked to consider them.Genet Med 18 12, 1308-1311.

A Screening Tool for Assessing Alcohol Use Risk among Medically Vulnerable Youth.

BACKGROUND: In an effort to reduce barriers to screening for alcohol use in pediatric primary care, the National Institute on Alcoholism and Alcohol Abuse (NIAAA) developed a two-question Youth Alcohol Screening Tool derived from population-based survey data. It is unknown whether this screening tool, designed for use with general populations, accurately identifies risk among youth with chronic medical conditions (YCMC). This growing population, which comprises nearly one in four youth in the US, faces a unique constellation of drinking-related risks. METHOD: To validate the NIAAA Youth Alcohol Screening Tool in a population of YCMC, we performed a cross-sectional validation study with a sample of 388 youth ages 9-18 years presenting for routine subspecialty care at a large children's hospital for type 1 diabetes, persistent asthma, cystic fibrosis, inflammatory bowel disease, or juvenile idiopathic arthritis. Participants self-administered the NIAAA Youth Alcohol Screening Tool and the Diagnostic Interview Schedule for Children as a criterion standard measure of alcohol use disorders (AUD). Receiver operating curve analysis was used to determine cut points for identifying youth at moderate and highest risk for an AUD. RESULTS: Nearly one third of participants (n = 118; 30.4%) reported alcohol use in the past year; 86.4% (106) of past year drinkers did not endorse any AUD criteria, 6.8% (n = 8) of drinkers endorsed a single criterion, and 6.8% of drinkers met criteria for an AUD. Using the NIAAA tool, optimal cut points found to identify youth at moderate and highest risk for an AUD were ≥ 6 and ≥12 drinking days in the past year, respectively. CONCLUSIONS: The NIAAA Youth Alcohol Screening Tool is highly efficient for detecting alcohol use and discriminating disordered use among YCMC. This brief screen appears feasible for use in specialty care to ascertain alcohol-related risk that may impact adversely on health status and disease management.

Substance Use Patterns Through Early Adulthood: Results for Youth With and Without Chronic Conditions.

INTRODUCTION: Adolescence and emergent adulthood are periods of peak prevalence for substance use that pose risks for short- and long-term health harm, particularly for youth with chronic medical conditions (YCMC) who are transitioning from adolescence to adulthood. As there have been no nationally representative studies of substance use during this period for these medically vulnerable youth, the authors sought to examine onset and intensification of these behaviors for a national sample of youth with and without chronic conditions. METHODS: Longitudinal data are from 2,719 youth between the ages of 12 and 26 years interviewed from 2002 to 2011 for the Panel Study of Income Dynamics, Child Development and Transition to Adulthood Supplements, a nationally representative, population-based survey. Multivariate generalized linear mixed models were used to estimate patterns of alcohol, tobacco, and marijuana use during adolescence and emergent adulthood for youth with and without chronic conditions, adjusting for potential confounders. RESULTS: Overall, 68.8%, 44.3%, and 47.8% of youth reported ever trying alcohol, tobacco, and marijuana, respectively. Among users, 42.2%, 73.4%, and 50.3% of youth reported binge drinking, regular cigarette use, and recent marijuana use, respectively. YCMC were more likely to engage in any and heavier substance use; transition years and early adulthood were periods of peak risk for YCMC compared with their healthy peers. CONCLUSIONS: Substance use among YCMC during adolescence and emergent adulthood is a substantial concern. Increased prevention and case detection are in order to address these behaviors and promote optimal health outcomes for medically vulnerable youth.

Alcohol and Marijuana Use and Treatment Nonadherence Among Medically Vulnerable Youth.

BACKGROUND AND OBJECTIVE: Adolescents face peak risks for onset and intensification of alcohol and marijuana use. However, we know little about these behaviors and their associations with knowledge or treatment adherence among chronically ill youth, a medically vulnerable group. METHODS: Cross-sectional assessment of consented youth ages 9 to 18 years receiving care for asthma/cystic fibrosis, type 1 diabetes, arthritis, or inflammatory bowel disease (IBD) by using a self-administered online tool. Prevalence and correlates of risk behaviors and associations with knowledge and treatment adherence were estimated using descriptive statistics and logistic regression, controlling for demographics, mental health, and the multiclinic sampling frame. RESULTS: Of 403 consented youth (75.8% response), 51.6% were girls, 75.1% were white, and average age was 15.6 years. Of high school youth, 36.5% and 12.7% reported past-year alcohol use and binge drinking, respectively; 20% reported past-year marijuana use. Among high school youth, 53.1% and 37.2% answered correctly that alcohol can interfere with their medications and laboratory tests; youth answering incorrectly were 8.53 and 4.46 times more likely to drink and binge drink, respectively (P values , .001). Thirty-two percent and 8.3% of high school youth reported regularly forgetting or skipping their medications in the past 30 days; compared with past-year non drinking youth, drinkers were 1.79 and 1.61 times as likely to report regularly missing or skipping medications (P values , .05). CONCLUSIONS: Alcohol and marijuana use are common among youth with chronic medical conditions. Alcohol use is associated with treatment nonadherence. Education and preventive interventions are warranted to ameliorate risk.

Youth smoking risk and community patterns of alcohol availability and control: a national multilevel study.

STUDY OBJECTIVE: To test whether college youth smoking risks are independently associated with community patterns of alcohol availability and control. DESIGN: Hierarchical multilevel multivariable modelling of cross sectional survey data. Outcomes included self reported current (past 30 day) cigarette smoking and heavy episodic (binge) drinking. SETTING: 120 nationally representative US colleges. PARTICIPANTS: 10 924 randomly selected students. MAIN RESULTS: Individual risks for smoking and binge drinking are independently associated with community patterns of alcohol availability, policy enforcement and control over and above individual perceptions about these factors, student and college characteristics, and school binge drinking rates. Youth exposed to high levels of alcohol availability are at higher risk of smoking (OR 3.61, 95% CI 1.75, 7.44) and binge drinking (OR 4.22, 95% CI 2.25, 7.93) than youth not so exposed; youth exposed to strongly enforced alcohol policy environments are at lower risk for smoking (OR 0.30, 95% CI 0.16, 0.57) and binge drinking (OR 0.17, 95% CI 0.10, 0.31) than youth not so exposed; youth exposed to communities with strong parental controls are at lower risk for smoking (OR 0.05, 95% CI 0.01, 0.23) and binge drinking (OR 0.06, 95% CI 0.01, 0.21) than youth not so exposed. Individual risks related to environmental exposures differ for youth with varying perceptions about alcohol availability and policy control. CONCLUSIONS: Drinking environments in US college communities comprise strong independent risks for smoking. Smoking prevention models should be tested that include environmental drinking prevention strategies tailored to underlying perceptions and experiences of college youth.

The co-occurrence of smoking and drinking among young adults in college: national survey results from the United States.

BACKGROUND: In US colleges, alcohol and tobacco pose substantial health risks but little is known about their co-occurrence, limiting development and use of appropriately targeted prevention efforts. METHODS: Data from the 2001 HSPH College Alcohol Study (student n = 10,924; college n = 120) were analyzed using multivariate logistic regression. Co-occurring smoking/drinking risks were examined in aggregate, by gender, and by age of onset of regular drinking and smoking across 10 measures of drinking style, three categories of transitional drinking behavior, and by treatment behavior. RESULTS: Over 98% of current smokers drink; a fraction (<1%) of lifetime and 7% of past year alcohol abstainers smoke. Across drinking pattern measures, 44-59% of drinkers smoke. Co-occurrence risks are greatest among youth reporting high total alcohol consumption (adjusted OR 4.21, p < 0.0001), drinking problems (adjusted OR 3.31, p < 0.0001) or symptoms of diagnosable alcohol abuse (adjusted OR 3.02, p < 0.0001). Risks are sharply elevated among students who self-medicate for drinking problems and do not seek/receive help (adjusted OR 1.87, p < 0.0001), and those reporting symptoms of diagnosable alcohol abuse who may or may not seek/receive help (adjusted OR 2.67, p < 0.01 and 2.96, p < 0.01, respectively). Females and students reporting early adolescent onset of regular smoking are at greatest risk. CONCLUSIONS: Virtually all college smokers drink, and smoking and drinking are powerfully interrelated across drinking measures. Efficiency argues for jointly targeting both behaviors and developing interventions tailored to the special vulnerabilities of young women, students experiencing difficulties adjusting to college, and students reporting early onset of regular smoking.

Depressive symptoms, DSM-IV alcohol abuse and their comorbidity among children of problem drinkers in a national survey: effects of parent and child gender and parent recovery status.

OBJECTIVE: The purpose of this study was to estimate the risk of depressive symptoms, DSM-IV alcohol abuse and their comorbidity among children of problem drinkers (COPDs) in college and the effects of parent and child gender and parent drinking status on outcomes and on COPDs' treatment utilization. METHOD: The study population was a nationally representative sample of 27,430 college students from 119 4-year colleges who completed survey questionnaires for the Harvard College Alcohol Study in 1997 and 1999. Logistic regression was used to estimate the psychiatric outcomes and patterns of treatment/counseling. RESULTS: COPDs who reported that their parents were active problem drinkers were at increased risk of depressive symptoms, DSM-IV alcohol abuse and their comorbidity. Female children of active problem drinkers (CAPDs) were at increased risk of depressive symptoms (odds ratio [OR] = 1.57,p < .01) and comorbidity of depressive symptoms and alcohol abuse (OR = 2.09, p < .01). Male CAPDs were at risk of depressive symptoms (OR = 1.69, p < .05) only. Stratified analysis by both parent and child gender revealed that depressive symptoms among female COPDs were affected by both paternal and maternal drinking, whereas among their male counterparts depressive symptoms were present only when the affected parent was the father. Male children of recovered problem drinkers were more likely to seek and receive psychiatric treatment/counseling than male CAPDs. CONCLUSIONS: The psychiatric risk of COPDs varied by respondent and parent gender, and by whether the affected parent was reported to be actively disordered or in recovery. The results highlight the importance of early and gender-specific interventions for COPDs.