Assessing Trends in Internalizing Symptoms among Racialized and Minoritized Adolescents: Results from the Monitoring the Future Survey 2005-2020.

Depressive symptoms have rapidly accelerated among recent US adolescent birth cohorts, yet there remains little understanding of trends among racialized and minoritized groups. These groups may experience depressive symptoms due to the deleterious effects of structural racism. Using 2005-2020 Monitoring the Future survey data, we examine all racialized groups using within-group analyses to observe trends in high depressive symptoms across cohorts. Generally, across racialized groups and ages, the odds of high depressive symptoms increased in recent birth cohorts. For example, among 15-16-year-old students racialized as American Indian or Alaska Native and Black-Hispanic/Latine, the 2003-2006 birth cohort had 3.08 (95% CI: 2.00, 4.76) and 6.95 (95% CI: 2.70, 17.88) times higher odds, respectively, of high depressive symptoms compared to the 1987-1990 birth cohorts. Moreover, in a given year 15-16-year-olds generally experienced the highest depressive symptoms compared to 13-14 and 17-18-year-olds, suggesting that age-effects peaked during mid-adolescence. Depressive symptoms increased among US adolescents by birth cohort, within all racialized and minoritized groups assessed. Public health efforts to reduce disparities may consider barriers such as structural racism that may impact the mental health of racialized/minoritized adolescents while increasing access to culturally competent mental health providers and school-based services.

Adolescent simultaneous use of alcohol and marijuana by trends in cigarette and nicotine vaping from 2000 to 2020.

BACKGROUND: Simultaneous alcohol and marijuana (SAM) use is associated with adverse consequences for youth. While SAM use is overall declining among youth, prior studies indicate increasing marijuana use among US adolescents who ever used cigarettes, suggesting possible moderation of the alcohol-marijuana relationship by cigarette use. METHODS: We included 43,845 12-th grade students participating in Monitoring the Future data (2000-2020). A 5-level alcohol/marijuana measure was used, including past-year SAM, alcohol-only, marijuana-only, non-simultaneous alcohol and marijuana, or no use. Multinomial logistic regressions estimated associations between time periods (categorized based on sample size: 2000-2005, 2006-2009, 2010-2014, 2015-2020) and the 5-level alcohol/marijuana measure. Models adjusted for sex, race, parental education and survey mode and included interactions of time periods and lifetime cigarette or vaped nicotine use. RESULTS: While overall SAM among 12th graders decreased from 23.65% to 18.31% between 2000 and 2020, SAM increased among students who never used cigarettes or vaped nicotine (from 5.42% to 7.03%). Among students who ever used cigarettes or vaped nicotine, SAM increased from 39.2% in 2000-2005-44.1% in 2010-2014 then declined to 37.8% in 2015-2020. Adjusted models controlling for demographics indicated that among students with no lifetime cigarette or vaped nicotine use, students in 2015-2020 had 1.40 (95% C.I. 1.15-1.71) times the odds of SAM, and 5.43 (95% C.I. 3.63-8.12) times the odds of marijuana-only (i.e., no alcohol use) compared to students who used neither in 2000-2005. Alcohol-only declined over time in both students who ever and never used cigarettes or nicotine vape products. CONCLUSION: Paradoxically, while SAM declined in the overall adolescent US population, the prevalence of SAM increased among students who have never smoked cigarettes or vaped nicotine. This effect arises because of a substantial decline in the prevalence of cigarette smoking; smoking is a risk factor for SAM, and fewer students smoke. Increases in vaping are offsetting these changes, however. Preventing adolescent use of cigarettes and nicotine vaped products could have extended benefits for other substance use, including SAM.

Alcohol or Drug Self-Help Use Among Adults in the United States: Age, Period, and Cohort Effects Between 2002 and 2018.

In the context of an ongoing and worsening drug overdose epidemic in the USA, increases in free support services like self-help groups may be expected. We estimated differences in self-help use by age, period, or cohort among people who may have needed treatment. We included N = 92,002 adults from the 2002-2018 National Surveys on Drug Use and Health who met past-year DSM-IV substance use disorder criteria or received alcohol/drug treatment in any location. We used hierarchical age-period-cohort (HAPC) modeling to estimate average age-period-cohort associations with self-help. Level-1 covariates included age, race and ethnicity, household income, and sex. We quantified level-2 variance components using the median odds ratio (MOR). We found small positive HAPC period effects for alcohol/drug self-help that were driven by alcohol-specific effects. Birth cohort differences were observed starting at age 48. Younger birth cohorts, especially among Black adults, were less likely to report self-help use than older birth cohorts. MOR was consistently elevated for cohort effects (MOR = 1.17; covariance parameter: 0.15; 95% CI [0.11, 0.23]) but not for period effects. Overall, self-help use did not increase in the context of substantial treatment needs and worsening overdose racialized disparities. Instead, cohort effects explained trends in alcohol/drug self-help. Findings could indicate that younger birth cohorts may need additional supports, especially services tailored for Black and Hispanic people. Supplementary Information: The online version contains supplementary material available at 10.1007/s11469-023-01012-2.

Age, Period, and Cohort Trends in Perceived Mental Health Treatment Need and Differences by Mental Health Severity in the United States, 2008-2019.

Identifying age, period, and cohort trends in perceived mental health treatment need over time by mental illness severity is important to identify where to focus early intervention efforts. We included adults who did not report receiving past-year mental health treatment in the 2008-2019 National Survey on Drug Use and Health (N = 364,676). Hierarchical age-period-cohort models were used to assess perceived mental health treatment need, adjusting for demographics stratified by mental illness severity (none, any but not severe [AMI], severe [SMI]). Median odds ratios estimated cohort and period variance. Cohort effects explained a significant portion of the variance over time; period effects were minimal. Perceived mental health treatment need was highest among adults with AMI from recent birth cohorts (2000-2002: ß = 1.12; 95% CI = 0.96, 1.28). Efforts are needed to address increases in perceived mental health treatment need in younger birth cohorts, such as removing structural barriers (e.g., healthcare system barriers).

Trends in Racial-Ethnic Disparities in Adult Mental Health Treatment Use From 2005 to 2019.

OBJECTIVE: Although U.S. mental health treatment rates increased in the 2000s, gaps in treatment among racial-ethnic groups grew. Little is known, however, about national trends after 2012, when treatment access increased overall. This study assessed trends in racial-ethnic disparities in past-year treatment rates among people with a major depressive episode, serious psychological distress, or serious mental illness. METHODS: National Survey on Drug Use and Health (2005-2019) data of adults with a past-year major depressive episode (N=49,791) or serious psychological distress (N=89,233) and of adults with past-year serious mental illness (N=24,944; 2008-2019) were analyzed. Linear risk regressions were used to model trends in past-year use of mental health treatment and included an interaction term between survey year and race-ethnicity. RESULTS: Treatment use prevalence (2005-2019) among marginalized individuals with a major depressive episode remained lower than that among White people. The magnitude of the disparity in treatment use between White and Hispanic people with major depressive episode decreased slightly (percentage-point difference=-25.1% to -14.9%), whereas the disparity in treatment use between White people and American Indian/Alaska Native people with serious mental illness increased significantly (percentage-point difference=23.4% to -12.2%), from 2005 to 2019. The magnitude of the disparities for other marginalized racial-ethnic groups did not meaningfully change. CONCLUSIONS: Racial-ethnic disparities in past-year mental health treatment use have persisted. Efforts to reduce disparities should consider structural barriers that hinder treatment use among marginalized groups.

Temporal trends in alcohol, cannabis, and simultaneous use among 12th-grade U.S. adolescents from 2000 to 2020: Differences by sex, parental education, and race and ethnicity.

BACKGROUND: Simultaneous use of alcohol and cannabis to enhance each other's effect can cause potential harm. Time trends are diverging in adolescent use of alcohol, which is declining, and cannabis, which is increasing among certain subgroups. However, little is known about trends in their simultaneous and non-simultaneous use. Racial and socioeconomic disparities are emerging in cannabis use, which may portend consequences to public health. METHODS: The 2000 to 2020 Monitoring the Future surveys included approximately 38,000 U.S. 12th-grade students with information on simultaneous use and pertinent demographic factors. A 5-level alcohol/cannabis measure included past-year simultaneous use (i.e., alcohol and cannabis use at the same time), non-simultaneous alcohol and cannabis use, alcohol-use-only, cannabis-use-only, and no use. Multinomial logistic regressions estimated associations (adjusted relative risk ratios; aRRR) with time period (2000 to 2004, 2005 to 2009, 2010 to 2014, 2015 to 2020). Models were adjusted and included interactions with sex, race/ethnicity, and parental education. RESULTS: Between 2000 and 2020, simultaneous alcohol/cannabis use among 12th graders decreased from 24.4% to 18.7%. From 2015 to 2020 compared to 2000 to 2004, the odds of simultaneous use (adjusted relative risk ratio (aRRR) vs. no use = 0.57, 95% CI [0.50, 0.66]) and alcohol-use-only (aRRR = 0.55, 95% CI [0.49, 0.61]) decreased, while cannabis-use-only odds increased (aRRR = 2.59, 95% CI [1.87, 3.59]). Notably, the prevalence of cannabis-use-only more than doubled from 2011 to 2019. The odds of simultaneous use, alcohol-use-only, and non-simultaneous use of alcohol and cannabis declined more rapidly among males than females, whereas the odds for cannabis-use-only increased faster for females than males. Increases in cannabis-use-only were faster for non-white adolescents. CONCLUSION: Simultaneous use of alcohol and cannabis is declining among U.S. adolescents, but the decline is slower among females than males. Declines in simultaneous use are largely concomitant with historical declines in alcohol use, indicating that a continued focus on reducing alcohol use among adolescents and young adults has extended benefits to other adolescent substance use. However, cannabis use without any reported past-year alcohol use more than doubled in the last decade, a concerning trend.

Age, Period, and Cohort Effects of Internalizing Symptoms Among US Students and the Influence of Self-Reported Frequency of Attaining 7 or More Hours of Sleep: Results From the Monitoring the Future Survey 1991-2019.

Adolescent internalizing symptoms have increased since 2010, whereas adequate sleep has declined for several decades. It remains unclear how self-reported sleep attainment has affected internalizing-symptoms trends. Using 1991-2019 data from the Monitoring the Future Study (n ~ 390,000), we estimated age-period-cohort effects in adolescent internalizing symptoms (e.g., loneliness, self-esteem, self-derogation, depressive affect) and the association with yearly prevalence of a survey-assessed, self-reported measure of attaining ≥7 hours of sleep most nights. We focused our main analysis on loneliness and used median odds ratios to measure variance in loneliness associated with period differences. We observed limited signals for cohort effects and modeled only period effects. The feeling of loneliness increased by 0.83% per year; adolescents in 2019 had 0.68 (95% CI: 0.49, 0.87) increased log odds of loneliness compared with the mean, which was consistent by race/ethnicity and parental education. Girls experienced steeper increases in loneliness than boys (P < 0.0001). The period-effect median odds ratio for loneliness was 1.16 (variance = 0.09; 95% CI: 0.06, 0.17) before adjustment for self-reported frequency of getting ≥7 hours sleep versus 1.07 (variance = 0.02; 95% CI: 0.01, 0.03) after adjustment. Adolescents across cohorts are experiencing worsening internalizing symptoms. Self-reported frequency of <7 hours sleep partially explains increases in loneliness, indicating the need for feasibility trials to study the effect of increasing sleep attainment on internalizing symptoms.

A Systematic Review of Simulation Models to Track and Address the Opioid Crisis.

The opioid overdose crisis is driven by an intersecting set of social, structural, and economic forces. Simulation models are a tool to help us understand and address thiscomplex, dynamic, and nonlinear social phenomenon. We conducted a systematic review of the literature on simulation models of opioid use and overdose up to September 2019. We extracted modeling types, target populations, interventions, and findings; created a database of model parameters used for model calibration; and evaluated study transparency and reproducibility. Of the 1,398 articles screened, we identified 88 eligible articles. The most frequent types of models were compartmental (36%), Markov (20%), system dynamics (16%), and agent-based models (16%). Intervention cost-effectiveness was evaluated in 40% of the studies, and 39% focused on services for people with opioid use disorder (OUD). In 61% of the eligible articles, authors discussed calibrating their models to empirical data, and in 31%, validation approaches used in the modeling process were discussed. From the 63 studies that provided model parameters, we extracted the data sources on opioid use, OUD, OUD treatment, cessation or relapse, emergency medical services, and death parameters. From this database, potential model inputs can be identified and models can be compared with prior work. Simulation models should be used to tackle key methodological challenges, including the potential for bias in the choice of parameter inputs, investment in model calibration and validation, and transparency in the assumptions and mechanics of simulation models to facilitate reproducibility.

Contraceptive discontinuation and switching in urban Istanbul region in Turkey.

OBJECTIVE: To evaluate rates of contraceptive discontinuation and method switching and examine their determinants in Istanbul, Turkey, because discontinuation of modern contraception leading to unintended pregnancy is a public health concern. METHODS: We conducted a cross-sectional household survey between March and June 2018 among 4224 married women of reproductive age (16-44 years). Information on contraceptive use and discontinuation for the 31 months preceding the survey was recorded in a monthly calendar. Using single and multiple decrement life-table methods, we calculated the overall discontinuation and the cause-specific discontinuation rates. RESULTS: The 12-month overall discontinuation rate was 12.32%. Intrauterine devices had the lowest discontinuation rate (7.12%). The most common reasons for discontinuation were the desire to become pregnant (6.56%) and method failure (2.76%). One in three episodes of discontinuation was not followed by method switching (32.16%). Age, education, and the method type were predictive of contraceptive discontinuation. CONCLUSION: To reduce method failure, women should be provided with information about method effectiveness, correct use of methods, and what to do if they anticipate their method failed (e.g., emergency contraception). Programs should focus on improving knowledge about discontinuation and method failure. Contraceptive counseling should also emphasize timely switching to an effective method after discontinuation.

Trends in cannabis use and attitudes toward legalization and use among Australians from 2001-2016: an age-period-cohort analysis.

BACKGROUND AND AIMS: Changes in cannabis legalization and availability in Australia necessitate monitoring use and attitudes. We estimated age-period-cohort effects of past-year cannabis use and attitudes toward criminalization and legalization. DESIGN: Analysis of six waves of the Australian National Drug Strategy Household Survey (NDSHS) every 3 years (2001-2016). SETTING AND PARTICIPANTS: The study was nationally representative of Australian households using multistage random sampling, totaling 145 168 respondents 18-79 years old. Data were collected using telephone, face-to-face, and drop-and-collect. Sample sizes per analysis varied based on data availability (~107 000-127 000 per model). MEASUREMENTS: Six waves of data for past-year cannabis use (by sex and education), attitudes toward criminalization and legalization. FINDINGS: Past-year cannabis use decreased in young adults ages 18-35 from 2001-2016 (25.1%-18.6%) and increased in middle adults ages 36-55 (8.6%-10.1%) and older adults ages 56-79 (0.6%-3.0%). We observed a positive period effect and negative cohort effect for recent cohorts for past-year use (e.g. 1955 cohort had 1.41 (95% CI: [1.11, 1.70]) increased log odds vs. 1998 cohort had -2.86 (95% CI: [-3.17, -2.55]) increased log odds) compared with the mean across years. Results were consistent by sex and varied by education. We observed a negative period effect for criminalization favorability (0.14 (95% CI: [0.003, 0.28]) increased log odds in 2001 vs. -0.31 (95% CI: [-0.45, -0.17]) increased log odds in 2016) and positive cohort effect for recent cohorts. Last, we observed a positive period effect for legalization support (-0.03 (95% CI: [-0.20, 0.14]) increased log odds in 2001 vs. 0.38 (95% CI: [0.22, 0.55]) increased log odds in 2016) and negative cohort effect for recent cohorts. CONCLUSION: Cannabis use appears to be increasing in Australia among adults over 35, while decreasing among adolescents and young adults. Legalization support also appears to have been increasing since 2007, signaling discordance between use and attitudes among adolescents and young adults, and potentially predicting increases in use over time.