Association Between Clinician-Level Factors and Patient Outcomes in Virtual and In-Person Outpatient Treatment for Substance Use Disorders: Multilevel Analysis.

BACKGROUND: The use of virtual treatment services increased dramatically during the COVID-19 pandemic. Unfortunately, large-scale research on virtual treatment for substance use disorder (SUD), including factors that may influence outcomes, has not advanced with the rapidly changing landscape. OBJECTIVE: This study aims to evaluate the link between clinician-level factors and patient outcomes in populations receiving virtual and in-person intensive outpatient services. METHODS: Data came from patients (n=1410) treated in a virtual intensive outpatient program (VIOP) and an in-person intensive outpatient program (IOP), who were discharged between January 2020 and March 2021 from a national treatment organization. Patient data were nested by treatment providers (n=58) examining associations with no-shows and discharge with staff approval. Empathy, comfort with technology, perceived stress, resistance to change, and demographic covariates were examined at the clinician level. RESULTS: The VIOP (ß=-5.71; P=.03) and the personal distress subscale measure (ß=-6.31; P=.003) were negatively associated with the percentage of no-shows. The VIOP was positively associated with discharges with staff approval (odds ratio [OR] 2.38, 95% CI 1.50-3.76). Clinician scores on perspective taking (ß=-9.22; P=.02), personal distress (ß=-9.44; P=.02), and male clinician gender (ß=-6.43; P=.04) were negatively associated with in-person no-shows. Patient load was positively associated with discharge with staff approval (OR 1.04, 95% CI 1.02-1.06). CONCLUSIONS: Overall, patients in the VIOP had fewer no-shows and a higher rate of successful discharge. Few clinician-level characteristics were significantly associated with patient outcomes. Further research is necessary to understand the relationships among factors such as clinician gender, patient load, personal distress, and patient retention.

The moderating role of mental health on the association between COVID-related stress, isolation, and economic hardship and using substances to cope.

Since young adulthood is a vulnerable period for adverse mental health experiences and high-risk substance use, it is critical to understand the impact of the COVID-19 pandemic on young adult mental health and substance use behaviors. Therefore, we determined whether the relationship between COVID-related stressors and using substances to cope with COVID-related social distancing and isolation was moderated by depression and anxiety among young adults. Data were from the Monitoring the Future (MTF) Vaping Supplement (total N = 1244). Logistic regressions assessed the relations between COVID-related stressors, depression, anxiety, demographic characteristics, and interactions between depression/anxiety and COVID-related stressors with vaping more, drinking more, and using marijuana to cope with COVID-related social distancing and isolation. Greater COVID-related stress due to social distancing was associated with vaping more to cope among those with more depression symptoms and drinking more to cope among those with more symptoms of anxiety. Similarly, COVID-related economic hardships were associated with using marijuana to cope among those with more symptoms of depression. However, feeling less COVID-related isolation and social distancing stress was linked to vaping and drinking more to cope, respectively, among those with more symptoms of depression. These findings suggest that the most vulnerable young adults are seeking substances to cope with the pandemic, while potentially experiencing co-occurring depression and anxiety along with COVID-related stressors. Therefore, intervention programs to support young adults who are struggling with their mental health in the aftermath of the pandemic as they transition into adulthood are critical.

Feasibility of mailed biomarker data collection among U.S. young adults: Saliva-based cotinine and self-reported nicotine use.

BACKGROUND: Nationally representative self-report studies are the standard for data on the prevalence of substance use. Newly emerging biomarker assessments can add objective measurements of exposure. However, biomarker assessment has typically depended on in-person sample collection. The current study examined whether young adults in a national sample would be willing and able to provide a saliva sample via mail, and the correspondence of cotinine in the saliva sample with self-reported vaping and smoking. METHODS: Data collection for the Monitoring the Future (MTF) Vaping Supplement was from September to November 2020. Eligible participants (N = 4358) were selected from a nationally-representative sample of US 12th-grade students in MTF in spring 2019. The MTF Vaping Supplement surveyed individuals nationally about one year after the 12th grade MTF survey (in 2020, mean age = 19.6 years; N = 1244). Survey weights accounted for design and attrition. RESULTS: Of those surveyed, 66.2% consented to provide a saliva sample and, of those, 73.8% mailed a sample. There were no significant differences in providing a saliva sample across any demographic characteristic, but those who reported nicotine use were less likely to provide a sample. Cotinine cut-off measures of > 3 ng/mL and > 10 ng/mL had good correspondence with self-reported measures. CONCLUSIONS: Results support the feasibility of collecting saliva via the mail in a national sample and the validity of data collected in this way. These findings support future research innovations to expand existing survey research protocols to include biomarker data collection in representative samples of young adults.

Daily associations between affect, drinking motives, and drinking intensity among U.S. young adults.

OBJECTIVE: We investigated the relationships between daily affect, drinking motives, likelihood of drinking, and intensity of drinking, particularly high-intensity drinking (HID), in a sample of young adults. We also explored differences in our outcomes before versus during the early coronavirus disease (COVID-19) pandemic. METHOD: In the springs of 2019 and 2020, young adult drinkers (N = 633) completed 14 consecutive morning surveys (each year) characterizing the prior day's affect, motives, and alcohol use. We examined between-person and within-person associations of affect and motives with two outcomes: any drinking and drinking intensity on drinking days (1 = moderate drinking [1-3 drinks for women, 1-4 drinks for men], 2 = binge drinking [4-7 for women, 5-9 for men], and 3 = HID [8 + for women, 10 + for men]). RESULTS: Young adults reported higher positive affect on drinking days and higher negative affect on nondrinking days. On days when young adults reported greater enhancement motives, positive affect was strongly related to HID. During the early COVID-19 pandemic, young adults were more likely to report drinking, but did not drink more heavily unless they also reported drinking for social motives. CONCLUSIONS: These results suggest that heightened social, coping, and enhancement motives are risk factors for drinking in young adults. They also suggest that young adults perceive their mood to be better on drinking days, particularly when they were drinking to enhance positive affect. Results are consistent with a positive affect regulation model (i.e., drinking to increase positive affect), but not a negative affect regulation model (i.e., drinking to cope with negative affect). (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Association between COVID-19-related loneliness or worry and symptoms of anxiety and depression among first-year college students.

OBJECTIVE: To examine the relationship between COVID-19-related distress and mental health among first-year college students. PARTICIPANTS: Data for this longitudinal study (n = 727) were collected before the school year (August 2019), end of fall semester (December 2019), and soon after the university suspended in-person instruction (April 2020). METHODS: We used multivariable log-linear and logistic regressions to examine continuous and dichotomous outcomes on the 9-item Patient Health Questionnaire and the 7-item Generalized Anxiety Disorder scale. RESULTS: The most consistent predictor of during-pandemic mental health was feeling extremely isolated (versus not at all), which was associated with increased symptom severity of depression (proportional change[95% CI] = 2.43[1.87, 3.15]) and anxiety (2.02[1.50, 2.73]) and greater odds of new moderate depression (OR[95% CI] = 14.83[3.00, 73.41]) and anxiety (24.74[2.91, 210.00]). Greater COVID-19-related concern was also related to increased mental health symptoms. CONCLUSIONS: Results highlight the need for mental health services during crises that lead to social isolation.

High-intensity drinking and hours spent drinking.

BACKGROUND: High-intensity drinking (HID) is associated with negative consequences, but it remains unclear whether a time qualifier (i.e., time spent drinking) is needed to identify individuals at highest risk. To improve the measurement and conceptualization of HID, we examined the utility of adding a time qualifier to define what constitutes an occasion of HID using repeated daily surveys in a sample of young adults. METHODS: Participants were selected from a nationally representative sample of 12th-grade students in the United States who participated in the Monitoring the Future (MTF) study in Spring 2018. In 2019 and 2020, young adults (at modal ages 19-20) responded to annual and daily (14 consecutive days per year) online surveys about their alcohol use. RESULTS: When we compared moderate drinking days (less than 4/5 drinks for women/men), binge drinking days (4-7/5-9 drinks), and HID days (8+/10+ drinks), HID days had the longest duration of drinking (5.2 h), highest peak estimated blood alcohol concentration (eBAC, 0.30%), and greatest drinking pace (2.58 drinks/h). HID was associated with a greater number of negative consequences than either moderate or binge drinking; adjusting for time spent drinking did not impact this interpretation. HID was reported on 10.9% of days; when defined as 8/10+ drinks in 4 h or 2 h, HID was reported on 4.8% and 1.0% of days, respectively. Nearly all differences in eBAC and negative consequences persisted across drinking intensity despite the introduction of time constraints. CONCLUSIONS: HID days were characterized by both a longer time spent drinking and a more rapid pace of drinking. Adding a time qualifier to the definition of HID would restrict variability by only describing the minority of days and does not improve the distinctions among levels of risk.

Depressive and anxious symptoms among young adults in the COVID-19 pandemic: Results from monitoring the future.

PURPOSE: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is associated with worsening mental health among young adults, but further research is necessary to quantify the associations with depression and anxiety. METHODS: Using Monitoring the Future data (N = 1244 young adults, modal age: 19, Fall 2020 supplement), we examined internalizing symptoms (Patient Health Questionnaire-8 and Generalized Anxiety Disorder Scale-7 separately), dividing the sample into those without clinically significant scores, significant scores but minimal pandemic-attributed symptoms, and significant scores with substantial pandemic-attributed symptoms. Logistic regression analyses linked demographic factors, pandemic-related experiences, and coping methods to symptom groups. RESULTS: Internalizing symptoms were highly prevalent, with many occurring among a majority at least several days over the past 2 weeks. Major changes in education, employment, and resource availability predicted elevated symptom risk (e.g., lacking a place to sleep or money for rent, gas, or food led to 4.43 [95% confidence interval: 2.59-7.55] times the risk of high depressive symptoms significantly attributed to the pandemic). High internalizing symptoms were linked to underutilization of healthy coping behaviors, substance use overutilization, and dietary changes. High depressive and anxious symptoms attributed to the pandemic were marked by high levels of taking breaks from the news/social media and contacting healthcare providers. CONCLUSIONS: The pandemic's associations with young adults' depressive and anxious symptoms warrants urgent attention through improved mental health treatment infrastructure and stronger structural support.

Increased nicotine vaping due to the COVID-19 pandemic among US young adults: Associations with nicotine dependence, vaping frequency, and reasons for use.

Previous research has not examined increased vaping because of the pandemic using a national sample of young adults (YAs), which is a critical gap because pandemic-related increases in vaping among YAs could have important implications for nicotine dependence, prolonged regular use, and using substances to cope with stress. We examined self-reported increased vaping attributed to the COVID-19 pandemic among YAs, and its associations with outcomes that have important implications for future nicotine use. Data came from the Monitoring the Future (MTF) Vaping Supplement. Participants were selected from a nationally representative sample of US 12th-graders who were surveyed at age 19 in fall 2020 (N = 1244). Cross-sectional analyses of the 2020 survey included YAs who vaped nicotine in the past year (35%; N = 440). Weighted descriptive analyses and logistic regression models examined self-reported pandemic-related increased vaping (vs. decreased vaping, or no change), and its associations with current nicotine dependence, vaping behavior, and reasons for vaping. Among YAs who vaped nicotine in the past year, 16.8% reported increased and 44.4% reported decreased vaping due to the pandemic, while 38.9% reported no change. Increased vaping (vs. decreased and/or no change) was significantly associated with nicotine dependence symptoms, current regular nicotine vaping, and vaping to relax, get high, and because of boredom. Self-reported increased vaping because of the pandemic was associated with increased risk for current nicotine dependence and frequent use. Increased vaping may have been a form of coping with pandemic-related stressors, which increases risk for future substance use problems.

Daily fluctuations in drinking intensity: Links with vaping and combustible use of nicotine and marijuana.

BACKGROUND: Whether alcohol use intensity on a given day is linked with nicotine or marijuana use that same day is not well known, nor are links of drinking intensity with different modes of nicotine and marijuana use. This study examined these within-person links across 14 days in a national sample of young adults (YAs). METHODS: Past 30-day drinkers participating in the U.S. nationally representative Monitoring the Future study of 12th graders in 2018, who also reported alcohol use during a 14-day data collection one year later in the Young Adult Daily Life Study in 2019, were included (N = 487). Weighted multilevel modeling estimated within- and between-person associations of drinking intensity with cigarette smoking, nicotine vaping, marijuana smoking, and marijuana vaping. RESULTS: Within-person fluctuations in drinking intensity on a given day were associated with cigarette smoking, nicotine vaping, and marijuana smoking, but not marijuana vaping. There were significant between-person associations of means of drinking intensity and each outcome, except for cigarette smoking. CONCLUSION: Drinking intensity on a given day was associated with multiple modes of nicotine use and marijuana smoking that day. Nicotine and marijuana use remain critical areas of concern for public health, and future research and interventions should consider the comorbidity of drinking intensity and multiple modes of nicotine and marijuana use. Focusing on the same-day use of alcohol may provide a tailored avenue for preventing and reducing nicotine and marijuana emerging trends among YAs.

The Intersection of Depressive Symptoms, Adverse Childhood Experiences, and Protective Factors Among Adolescents: Epidemiological Evidence from Minnesota, 2016 and 2019.

Prevalence of mental health problems among US youth has increased in recent years, and there is a dearth of epidemiological research at the state level that integrates risk and protective factors into population-based surveillance. We utilized the developmental assets framework to measure protective factors; we assessed (1) prevalence of depressive symptoms, high adverse childhood experiences (ACEs; ≥ 4 ACEs), and few developmental assets (≤ 2 assets) over time, and (2) associations among these three phenomena. Using 2016 and 2019 Minnesota Student Survey data, we utilized descriptive statistics, multivariable logistic regression, and post-estimation analyses (adjusting for school clustering and demographics). Using pooled data, we examined how high ACEs and few assets predicted depressive symptoms and we tested three-way interactions for high ACEs, few assets, and survey year. There were statistically significant increases in prevalence of depressive symptoms, high ACEs, and few assets between 2016 and 2019. High ACEs (AOR = 2.74; 95% CI = 2.61, 2.89) and few assets (AOR = 3.13; 95% CI = 3.00, 3.26) were positively related to depressive symptoms; interactions were statistically significant. Additive interactions showed that, compared to their counterparts, adolescents with high ACEs and few assets had the highest prevalence of depressive symptoms, and this group exhibited the largest increase in prevalence between 2016 and 2019. Depressive symptoms are highest among adolescents with high risk and few protective factors, and recent increases in the prevalence of depressive symptoms appear to have disproportionately occurred among these adolescents. We offer a potential roadmap for following the Centers for Disease Control and Prevention recommendations to integrate ACEs and protective factors into local public health efforts. Supplementary Information: The online version contains supplementary material available at 10.1007/s42844-022-00052-2.

Cigarette Pack Price and Its Within-Person Association With Smoking Initiation, Smoking Progression, and Disparities among Young Adults.

BACKGROUND: There is a dearth of research on within-person relationships between tobacco price and cigarette smoking initiation and progression in young adulthood. This project examines the within-person association between cigarette pack price and smoking initiation and progression between age 18 and 21/22, focusing on differences across subgroups. METHODS: Data came from the longitudinal Monitoring the Future (MTF) project. MTF examines drug use behaviors with nationally representative samples of 12th graders annually. Subsamples of 12th graders are annually selected and followed longitudinally. Among 12th graders from baseline years 2000-2014, we examined past 30-day cigarette smoking initiation among baseline never smokers (N = 15 280) and progression to daily smoking among youth who were not daily smokers at baseline (N = 26 998). We used hierarchical logistic regression and interaction terms to assess differences across sex, race/ethnicity, and parental education. RESULTS: The within-person relationship between pack price and smoking indicated that a one-dollar increase in pack price corresponded with a 72% decrease in the odds of initiation (AOR = 0.28, 95% CI = 0.18, 0.44) and 70% decrease in the odds of progression to daily smoking (AOR = 0.30, 95% CI = 0.21, 0.44). There was a linear age trend for both smoking initiation and progression. There were no statistically significant interactions between price and demographics, making it difficult to disentangle differences across subgroups. CONCLUSIONS: Exposure to increased cigarette prices during young adulthood was associated with lower odds of cigarette smoking initiation and progression. Additional policies and programs beyond cigarettes prices could help reduce tobacco-related disparities in smoking initiation and progression among young adults. IMPLICATIONS: There is a strong, within-person relationship between cigarette prices and smoking initiation and progression during the transition to young adulthood: higher prices are associated with decreased odds of both initiation and progression. Cigarette taxation can help to prevent smoking initiation and progression among youth, but it is less clear how taxes are associated with disparities in smoking experienced by certain subgroups. We could not draw definitive conclusions about the impact of cigarette prices on tobacco-related disparities. Tobacco taxes should be increased on a regular basis to ensure young adults experience within-person increases in prices, and complementary programs geared toward reducing tobacco-related disparities among young adults should be promoted.

Protective Factors for Nicotine and Marijuana Vaping Among U.S. Adolescents.

INTRODUCTION: Nicotine and marijuana vaping among U.S. adolescents are public health priorities. Research has assessed the demographic and risk factors related to vaping, but there is a dearth of research on protective factors for vaping. On the basis of the healthy youth development perspective, the developmental assets framework is used to assess cumulative protective factors and vaping in a national sample of adolescents. METHODS: Data came from the nationally representative Monitoring the Future study, consisting of 12th graders (n=6,982) from the 48 contiguous U.S. states (2017-2019). Past 30-day nicotine and marijuana vaping and developmental assets (low, medium, or high) were examined. Covariates included demographics and other substance use. Weighted descriptive statistics, logistic regression, postestimation analyses, and multiple imputation were used. RESULTS: Students with higher assets were less likely to vape nicotine and marijuana, even after adjusting for covariates. The odds of nicotine vaping were lower for students with medium assets (AOR=0.65, 95% CI=0.54, 0.78) and high assets (AOR=0.22, 95% CI=0.16, 0.29) than for students with low assets. Similarly, the odds of marijuana vaping were lower for youth with medium assets (AOR=0.54, 95% CI=0.42, 0.69) and high assets (AOR=0.09, 95% CI=0.05, 0.18) than for those with low assets. Social competence and positive peer norms were strongly protective against both forms of vaping. CONCLUSIONS: The healthy youth development perspective applies to the critical issues of nicotine and marijuana vaping among adolescents. Promoting cumulative assets may help to prevent vaping among U.S. adolescents, and increasing the specific assets of social competence and positive peer norms could be particularly fruitful.

Using Substances to Cope With the COVID-19 Pandemic: U.S. National Data at Age 19 Years.

PURPOSE: To examine predictors of using substances to cope with the COVID-19 pandemic, including pandemic-related isolation, stress, economic hardship, demographics, and prepandemic substance use. METHODS: A U.S. national sample (N = 1,244) was followed from the 12th grade in Spring 2019 to Fall 2020 (M = 19.6 years) when young adults were asked about their use of marijuana, vaping, drinking, and other drugs to cope. RESULTS: In Fall 2020, 15.7% reported using marijuana, 8.9% increased vaping, and 8.2% increased drinking to cope with social distancing and isolation. In multivariable analyses controlling for demographics and prepandemic substance use, COVID-related isolation was associated with marijuana use (odds ratio = 1.31, 95% confidence interval = 1.06-1.63) and economic hardship with increased drinking (odds ratio = 1.39, 95% confidence interval = 1.01-1.92). There were few demographic differences. Most (>80%) who reported COVID-related substance use coping used that substance before pandemic. DISCUSSION: Young people reported using substances to cope with the COVID-19 pandemic, especially if they reported prepandemic use.

Drinking Intensity at Age 29/30 as a Predictor of Alcohol Use Disorder Symptoms at Age 35 in a National Sample.

OBJECTIVE: The purpose of this longitudinal study was to identify associations of drinking intensity at age 29/30 with symptoms of alcohol use disorder (AUD) at age 35. METHOD: Analyses used national longitudinal data from 1,253 individuals (53.5% female) participating in the Monitoring the Future study. Age 29/30 data were collected from 2005 to 2013; age 35 data were collected from 2010 to 2018. Multivariable models regressed age 35 past-5-year AUD symptoms (vs. nondisordered drinking/abstinence) on age 29/30 past-2-week drinking intensity (no/low [0-4] drinking, binge [5-9] drinking, high-intensity [10+] drinking), with key covariates being controlled for. RESULTS: At age 35, 32.6% (SE = 1.50) of respondents reported AUD symptoms. AUD symptoms at age 35 were reported by 77.5% (SE = 4.79) of participants who reported age 29/30 high-intensity drinking and 60.6% (SE = 3.95) of participants who reported age 29/30 binge drinking. Age 35 past-5-year abstinence was reported by almost no respondents reporting age 29/30 binge drinking or high-intensity drinking. AUD symptoms at age 35 were significantly more likely for those who reported binge (adjusted multivariable odds ratio [AOR] = 5.61, 95% CI [3.79, 8.30], p < .001) or high-intensity (AOR = 12.26, 95% CI [6.70, 22.41], p < .001) drinking versus no/low drinking at age 29/30. The likelihood of having AUD symptoms was significantly higher for high-intensity than for binge drinkers (AOR = 2.18, 95% CI [1.14, 4.19], p = .019). CONCLUSIONS: Nearly 80% of those young adults who reported engaging in high-intensity drinking (10+ drinks in a row) at age 29/30 later reported AUD symptoms at age 35. High-intensity drinking appears to be a strong prospective marker of risk for AUD symptoms among adults in the United States.

Impact of nicotine reduction in cigarettes on smoking behavior and exposure: Are there differences by race/ethnicity, educational attainment, or gender?

BACKGROUND: Lowering nicotine in cigarettes may reduce smoking prevalences; however, it is not known whether an immediate or gradual reduction in nicotine is the optimal approach for all population groups. OBJECTIVES: We examined whether the optimal approach to nicotine reduction depended on the education, gender, or race of people who smoke and whether the optimal approach differentially benefited people who smoke based on their education, gender, or race. METHODS: Secondary analysis was conducted on a randomized clinical trial (N = 1250) comparing (1) immediate reduction from 15.5 to 0.4 mg of nicotine per gram of tobacco(mg/g);(2) gradual reduction to 0.4 mg/g;(3) control group with normal nicotine cigarettes(15.5 mg/g). Outcomes included cigarettes per day(CPD), carbon monoxide(CO), total nicotine equivalents(TNE), 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol and its glucuronides(NNAL), phenanthrene tetraol(PheT), N-Acetyl-S-(2-cyanoethyl)-l-cysteine(CEMA). Data were analyzed as area under the curve(AUC). RESULTS: Results were presented by education (High school[HS] or less n = 505, more than HS n = 745), gender (males n = 701, females n = 549), and race (Black participants n = 373,White participants n = 758). Regardless of education, gender, and race, CPD, CO, TNE, NNAL, PheT, and CEMA were lower in immediate versus gradual nicotine reduction. Comparing immediate versus the control, outcomes were lower for all subgroups; however, the magnitude of the effect for TNE varied by race. Specifically, geometric mean of the AUC of TNE in immediate versus gradual was 49 % lower in Black participants and 61 % lower in White participants (p-value = 0.047). CONCLUSIONS: Immediately reducing nicotine in cigarettes has the potential to benefit people who smoke across lower and higher educational attainment, male and female gender, and Black and White race.

Binge drinking before and after a COVID-19 campus closure among first-year college students.

PURPOSE: The COVID-19 pandemic is associated with reports of increased substance use. College students are a population of concern for high risk binge drinking and their behavior may be particularly impacted by COVID-19 campus closures. Therefore, we examine first-year college students' binge drinking soon after their university's pandemic-related suspension of in-person operations. METHODS: Students from a single campus (N = 741; age: M = 18.05, SD = 0.22) completed one assessment in April-May 2020 post-campus closure (March 2020) including theoretically-informed measures (e.g., drinking motives, norms) and two items of self-reported pre- and post-closure binge drinking frequency, the focus of these analyses. RESULTS: About half of students consistently reported not binge drinking pre- and post-closure; 6.75% reported a consistent frequency of binge drinking pre- and post-closure. Many (39.41%) reported lower 30-day binge drinking post-campus closure compared to their pre-closure reports; few (4.18%) reported higher 30-day binge drinking frequency post-campus closure. Students reporting lower binge drinking post-closure showed differences in coping, social, and enhancement drinking motives and isolation. Students reporting greater post-closure binge drinking reported higher perceived drinking norms and were more likely to be in Greek life. CONCLUSION: This study demonstrates self-reported patterns in binge drinking among first-year college students at the point of COVID-19 campus closures. Pandemic-related college closures may have been a temporary environmental intervention on this high-risk behavior for some students. Although many students were not binge drinking, some continued binge drinking after closure and may benefit from preventive interventions.

Comparison of a web-push survey research protocol with a mailed paper and pencil protocol in the Monitoring the Future panel survey.

AIMS: The experiment tested the effects of a web-push survey research protocol, compared with the standard mailed paper-and-pencil protocol, among young adults aged 19-30 years in the 'Monitoring the Future' (MTF) longitudinal study. DESIGN, SETTING AND PARTICIPANTS: The US-based MTF study has measured substance use trends among young adults in panel samples followed biennially, using consistent mailed survey procedures from 1977 to 2017. In 2018, young adult participants in the MTF longitudinal component scheduled to be surveyed at ages 19-30 in 2018 (from high school senior cohorts of 2006-17, n = 14 709) were randomly assigned to receive the standard mail/paper survey procedures or new web-push procedures. MEASUREMENTS: Primary outcomes were responding to the survey and prevalence estimates for past 30-day use of alcohol, cigarettes, marijuana and illicit drugs. FINDINGS: The web-push response rate was 39.07% [95% confidence interval (CI) = 37.889, 40.258]; this was significantly better than the standard MTF response rate of 35.12% (95% CI = 33.964, 36.285). After adjusting for covariates, the web-push condition was associated with a 19% increase in the odds of responding compared with standard MTF (adjusted odds ratio = 1.188; 95% CI = 1.096, 1.287). Substance use prevalence estimates were very similar and differences became negligible when using attrition weights and controlling for socio-demographic characteristics. CONCLUSIONS: The web-push protocol produced a higher response rate than the mailed pencil and paper protocol in the Monitoring the Future panel study, without substantially affecting estimates of substance use once attrition weights and socio-demographic variables were factored in.

How do high school seniors get marijuana? Prevalence and sociodemographic differences.

INTRODUCTION: Efforts to understand how adolescents acquire marijuana will help to contextualize its use among youth. Little is known about ways of getting marijuana and how they differ between subgroups of adolescents. The present study sought to determine how adolescents get marijuana and if modes of access vary by sociodemographic characteristics. METHOD: Data were from the nationally representative Monitoring the Future study of 12th graders in the United States from 2012 to 2018 (N = 4262 students). Participants used marijuana in the past 12 months and were asked how they got marijuana. Multivariable logistic regression models were used to predict modes of getting marijuana based on sex, race/ethnicity, urbanicity, parental education, and survey year. Cross-tabulation analyses compared how recent frequent and non-frequent use related to ways of getting marijuana. RESULTS: The most endorsed methods of getting marijuana were given for free by friends, bought from friends, and bought from a drug dealer/stranger. Differences by sociodemographic subgroup and recent frequent use emerged, including for riskier modes of obtainment such as buying from a drug dealer/stranger (for male students, urban students, and recent frequent users). Recent frequent users were more likely to endorse getting marijuana by nearly each method, except non-frequent users were more likely to be given marijuana for free by friends. DISCUSSION: Understanding the prevalence of different modes of getting marijuana among adolescents and which subgroups are most susceptible to riskier means of getting marijuana will allow drug use prevention efforts to be tailored appropriately so as to maximize effectiveness.

Patterns of Tobacco Use and Related Protective Factors Among Somali Youth in the United States.

Anti-smoking norms and educational aspirations are established tobacco prevention targets for general United States (U.S.) adolescent populations but protective factors remain poorly characterized for Somali-American youth. Here we describe patterns of past 30-day tobacco use and associated protective factors among eighth, ninth, and eleventh grade Somali adolescent respondents (n = 2009) to the 2016 Minnesota Student Survey using multivariate logistic regressions. E-cigarette (5.7%) and hookah (5.0%) use were most prevalent. Male youth reported higher levels of tobacco use across products. Adjusted odds ratios showed that internal developmental assets (e.g., e-cigarettes aOR 0.37, 95% CI 0.37, 0.79) and parental anti-smoking norms (e.g., e-cigarettes aOR 0.19, 95% CI 0.09, 0.38) protected against use of all tobacco products. E-cigarettes and hookah are prevalent among U.S. Somali youth, highlighting the need for prevention efforts that address emerging tobacco products and leverage protective factors such as internal assets and parental anti-smoking norms.