Demographic and health characteristics associated with fish and n-3 fatty acid supplement intake during pregnancy: results from pregnancy cohorts in the ECHO programme.

OBJECTIVE: n-3 fatty acid consumption during pregnancy is recommended for optimal pregnancy outcomes and offspring health. We examined characteristics associated with self-reported fish or n-3 supplement intake. DESIGN: Pooled pregnancy cohort studies. SETTING: Cohorts participating in the Environmental influences on Child Health Outcomes (ECHO) consortium with births from 1999 to 2020. PARTICIPANTS: A total of 10 800 pregnant women in twenty-three cohorts with food frequency data on fish consumption; 12 646 from thirty-five cohorts with information on supplement use. RESULTS: Overall, 24·6 % reported consuming fish never or less than once per month, 40·1 % less than once a week, 22·1 % 1-2 times per week and 13·2 % more than twice per week. The relative risk (RR) of ever (v. never) consuming fish was higher in participants who were older (1·14, 95 % CI 1·10, 1·18 for 35-40 v. <29 years), were other than non-Hispanic White (1·13, 95 % CI 1·08, 1·18 for non-Hispanic Black; 1·05, 95 % CI 1·01, 1·10 for non-Hispanic Asian; 1·06, 95 % CI 1·02, 1·10 for Hispanic) or used tobacco (1·04, 95 % CI 1·01, 1·08). The RR was lower in those with overweight v. healthy weight (0·97, 95 % CI 0·95, 1·0). Only 16·2 % reported n-3 supplement use, which was more common among individuals with a higher age and education, a lower BMI, and fish consumption (RR 1·5, 95 % CI 1·23, 1·82 for twice-weekly v. never). CONCLUSIONS: One-quarter of participants in this large nationwide dataset rarely or never consumed fish during pregnancy, and n-3 supplement use was uncommon, even among those who did not consume fish.

Maternal tobacco smoking and offspring autism spectrum disorder or traits in ECHO cohorts.

Given inconsistent evidence on preconception or prenatal tobacco use and offspring autism spectrum disorder (ASD), this study assessed associations of maternal smoking with ASD and ASD-related traits. Among 72 cohorts in the Environmental Influences on Child Health Outcomes consortium, 11 had ASD diagnosis and prenatal tobaccosmoking (n = 8648). and 7 had Social Responsiveness Scale (SRS) scores of ASD traits (n = 2399). Cohorts had diagnoses alone (6), traits alone (2), or both (5). Diagnoses drew from parent/caregiver report, review of records, or standardized instruments. Regression models estimated smoking-related odds ratios (ORs) for diagnoses and standardized mean differences for SRS scores. Cohort-specific ORs were meta-analyzed. Overall, maternal smoking was unassociated with child ASD (adjusted OR, 1.08; 95% confidence interval [CI], 0.72-1.61). However, heterogeneity across studies was strong: preterm cohorts showed reduced ASD risk for exposed children. After excluding preterm cohorts (biased by restrictions on causal intermediate and exposure opportunity) and small cohorts (very few ASD cases in either smoking category), the adjusted OR for ASD from maternal smoking was 1.44 (95% CI, 1.02-2.03). Children of smoking (versus non-smoking) mothers had more ASD traits (SRS T-score + 2.37 points, 95% CI, 0.73-4.01 points), with results homogeneous across cohorts. Maternal preconception/prenatal smoking was consistently associated with quantitative ASD traits and modestly associated with ASD diagnosis among sufficiently powered United States cohorts of non-preterm children. Limitations resulting from self-reported smoking and unmeasured confounders preclude definitive conclusions. Nevertheless, counseling on potential and known risks to the child from maternal smoking is warranted for pregnant women and pregnancy planners. LAY SUMMARY: Evidence on the association between maternal prenatal smoking and the child's risk for autism spectrum disorder has been conflicting, with some studies reporting harmful effects, and others finding reduced risks. Our analysis of children in the ECHO consortium found that maternal prenatal tobacco smoking is consistently associated with an increase in autism-related symptoms in the general population and modestly associated with elevated risk for a diagnosis of autism spectrum disorder when looking at a combined analysis from multiple studies that each included both pre- and full-term births. However, this study is not proof of a causal connection. Future studies to clarify the role of smoking in autism-like behaviors or autism diagnoses should collect more reliable data on smoking and measure other exposures or lifestyle factors that might have confounded our results.

Characterizing profiles of polysubstance use among high school students in Baltimore, Maryland: A latent class analysis.

BACKGROUND: Adolescent drug use has long term health consequences, like substance use disorders and psychiatric illnesses. Proximal health risks, especially for overdose, are amplified when multiple substances are combined. Existing literature on polysubstance use among adolescents has largely focused on alcohol, tobacco, and marijuana, but has largely excluded other drugs like opioids. Understanding how adolescents combine illicit drugs is essential for intervening to prevent poor health outcomes. METHODS: We aimed to explore patterns of lifetime polysubstance use among adolescents in Baltimore City. We used data on 9th-12th graders recruited to participate in the 2017 local Baltimore Youth Risk Behavior Survey who reported any lifetime drug use (n = 387; 60 % female, 77 % non-Hispanic Black). We then conducted a latent class analysis using 10 indicators of lifetime drug and alcohol use. After selecting the class model, we tested for associations between the class profiles and race, sex, school grade, and lifetime injection drug use. RESULTS: We identified three profiles of lifetime polysubstance use in our sample: alcohol and marijuana (68.6 % of sample), polysubstance (22.0 %), and alcohol/pain medication/inhalant use (9.4 %). Members of the polysubstance use class were more likely to be male and to report injection drug use. CONCLUSIONS: Understanding broader patterns of drug use beyond alcohol, tobacco and marijuana among adolescents is a crucial step towards preventing adverse drug and health-related outcomes later in life. More research is needed to characterize the full health impact of youth polysubstance use patterns and related risk behaviors like injection drug use.

U.S. adults with opioid use disorder living with children: Treatment use and barriers to care.

BACKGROUND: U.S. Adults with an opioid use disorder who live with a child have unique treatment needs, but little is known about the treatment use of these adults. METHODS: Data come from the 2010-2014 versions of the National Survey on Drug Use and Health, an annual, nationally representative survey assessing substance use in the United States. Adults (>18) with a heroin or pain-reliever use disorder living in a household with a child (<18) were compared to adults not living with children on their use of substance use treatment, treatment settings, payment sources, perceived unmet need for treatment, and barriers to care using logistic regression to adjust for demographic differences between groups. RESULTS: Of the 820,000 adults with an opioid use disorder living with at least one child, 28% reported receiving any past-year substance use treatment, a rate comparable to adults not living with a child (30%). Among adults reporting unmet treatment need, those who lived with a child were more likely to report that access barriers like not being able to find the right kind of program (aOR 2.9, 95% CI 1.2-7.1), as well as stigma (aOR 4.1, 95% CI 1.5 to 11.2), kept them from receiving care. CONCLUSION: Most adults with opioid use disorder who live with a child are not receiving any substance use treatment. Efforts to expand opioid use disorder treatment programs must include investment in programs that meet the specialized needs of families.

Polygenic Score × Intervention Moderation: an Application of Discrete-Time Survival Analysis to Model the Timing of First Marijuana Use Among Urban Youth.

The present study examines the interaction between a polygenic score and an elementary school-based universal preventive intervention trial and its effects on a discrete-time survival analysis of time to first smoking marijuana. Research has suggested that initiation of substances is both genetically and environmentally driven (Rhee et al., Archives of general psychiatry 60:1256-1264, 2003; Verweij et al., Addiction 105:417-430, 2010). A previous work has found a significant interaction between the polygenic score and the same elementary school-based intervention with tobacco smoking (Musci et al., in press). The polygenic score reflects the contribution of multiple genes and has been shown in prior research to be predictive of smoking cessation, tobacco use, and marijuana use (Uhl et al., Molecular Psychiatry 19:50-54, 2014). Using data from a longitudinal preventive intervention study (N = 678), we examined age of first marijuana use from sixth grade to age 18. Genetic data were collected during emerging adulthood and were genotyped using the Affymetrix 6.0 microarray (N = 545). The polygenic score was computed using these data. Discrete-time survival analysis was employed to test for intervention main and interaction effects with the polygenic score. We found main effect of the polygenic score approaching significance, with the participants with higher polygenic scores reporting their first smoking marijuana at an age significantly later than controls (p = .050). We also found a significant intervention × polygenic score interaction effect at p = .003, with participants at the higher end of the polygenic score benefiting the most from the intervention in terms of delayed age of first use. These results suggest that genetics may play an important role in the age of first use of marijuana and that differences in genetics may account for the differential effectiveness of classroom-based interventions in delaying substance use experimentation.

Marijuana use and physical dating violence among adolescents and emerging adults: A systematic review and meta-analysis.

BACKGROUND: As restrictions on marijuana are loosened, there is concern of a coming increase in marijuana use among adolescents and emerging adults, which could be coupled with commensurate increases in behavioral problems associated with use, such as physical dating violence (PDV). To summarize what is known about the association between marijuana use and PDV victimization and perpetration among 11-21year olds, we conducted a systematic review and meta-analysis of the relevant literature published between 2003 and 2015. METHODS: Candidate articles were identified with a systematic search, and we used inclusion and exclusion criteria to review titles, abstracts, and the full text of studies for consideration. There were 13 articles examining marijuana in association with PDV; five addressed victimization and 11 addressed perpetration. RESULTS: Findings suggest that marijuana use is associated with a 54% increase in the odds PDV victimization, and a 45% increase in the odds of perpetration. CONCLUSIONS: Findings suggest that dating violence is a correlate of marijuana use, and that association is strongest among adolescents (vs. emerging adults) and girls (vs. boys). Therefore, it should be routinely included as a core data item in marijuana surveillance systems, so as to allow for behavioral monitoring.

Developmental Patterns of Adolescent Marijuana and Alcohol Use and Their Joint Association with Sexual Risk Behavior and Outcomes in Young Adulthood.

Urban populations disproportionately experience poor sexual outcomes, including high rates of teenage pregnancy and sexually transmitted infections. However, the contribution of substance use across adolescence to poor sexual outcomes in young adulthood has not been investigated in depth, despite offering opportunities for more targeted prevention. This study aimed to estimate joint trajectories of adolescent alcohol and marijuana use to determine if they relate differently to four sexual outcomes: multiple sexual partners, sex without a condom, teenage pregnancy, and contraction of a sexually transmitted infection in young adulthood (by age 25). Data came from a longitudinal study of urban youth followed from age 6 to age 25, with annual assessments during adolescence and young adulthood (n = 608). The sample showed high levels of sexual risk, with young adults on average having sex without a condom once in the past month, 28.5% having multiple sexual partners in the past month, one quarter having contracted a sexually transmitted infection, and over 60% of the women being pregnant as a teenager and 36% of the men having gotten a partner pregnant. Applying longitudinal latent profile analysis to estimate joint trajectories of alcohol and marijuana use from grades 8-12, we identified four classes representing high dual use, moderate alcohol use, moderate alcohol use with increasing marijuana use, and non-use. Class membership differently predicted all four outcomes investigated with high dual users having the highest level of teenage pregnancy and the increasing marijuana trajectory having the highest risk of engaging with multiple sexual partners in the past month. Results suggest implications for both sexual risk and substance use prevention for urban youth.

Outcomes associated with adolescent marijuana and alcohol use among urban young adults: A prospective study.

OBJECTIVE: This study identifies and compares outcomes in young adulthood associated with longitudinal patterns of alcohol and marijuana use during adolescence among urban youth. METHOD: Data come from a cohort of 678 urban, predominantly Black children followed from ages 6-25 (1993-2012). Analyses are based on the 608 children who participated over time (53.6% male). Longitudinal patterning of alcohol and marijuana use were based on annual frequency reports from grades 8-12 and estimated through latent profile analysis. RESULTS: We identified four classes of alcohol and marijuana use including Non-Use (47%), Moderate Alcohol Use (28%), Moderate Alcohol/Increasing Marijuana Use (12%) and High Dual Use (13%). A marijuana only class was not identified. Analyses show negative outcomes in adulthood associated with all three adolescent substance use classes. Compared to the non-use class, all use classes had statistically significantly higher rates of substance dependence. Those in the 'High Dual Use' class had the lowest rate of high school graduation. Comparing classes with similar alcohol but different marijuana patterns, the 'Moderate Alcohol/Increasing Marijuana Use' class had a statistically significant increased risk of having a criminal justice record and developing substance use dependence in adulthood. CONCLUSION: Among urban youth, heterogeneous patterns of alcohol and marijuana use across adolescence are evident, and these patterns are associated with distinct outcomes in adulthood. These findings suggest a need for targeted education and intervention efforts to address the needs of youth using both marijuana and alcohol, as well as the importance of universal early preventive intervention efforts.

Testing gene × environment moderation of tobacco and marijuana use trajectories in adolescence and young adulthood.

OBJECTIVE: This study examines the main and interaction effects of known social risk factors for substance use (inadequate parental monitoring and substance using friends) in adolescence and a polygenic score in predicting marijuana and tobacco use in adolescence and young adulthood. METHOD: Phenotypic and genetic data were derived from a longitudinal study of a cohort of urban, predominately African American youth. Last year substance-use measures were collected annually from 8th grade through age 22. Participant self-reports of substance-using friends and parent monitoring were obtained yearly from Grades 8 to 12. Using longitudinal latent class analysis, the authors identified parallel developmental trajectories of tobacco and marijuana use and parent monitoring and the proportion of substance-using friends. RESULTS: Two trajectories were identified for tobacco and marijuana use, characterized by moderate versus little-to-no use. Additionally, 2 latent profiles were found for the social environment profiles: those characterized by higher parent monitoring and a lower proportion of substance-using friends versus lower parent monitoring and a higher proportion of substance-using friends. CONCLUSIONS: We found main and interaction effects for the polygenic score and social environment profile in predicting the longitudinal classes of marijuana and tobacco use. With respect to the interaction effect, membership in the moderate-use classes of marijuana and tobacco use was highest among those in the social environment profile characterized by lower parent monitoring and a higher proportion of substance-using friends.

Polygenic score × intervention moderation: an application of discrete-time survival analysis to modeling the timing of first tobacco use among urban youth.

The present study examines the interaction between a polygenic score and an elementary school-based universal preventive intervention trial. The polygenic score reflects the contribution of multiple genes and has been shown in prior research to be predictive of smoking cessation and tobacco use (Uhl et al., 2014). Using data from a longitudinal preventive intervention study, we examined age of first tobacco use from sixth grade to age 18. Genetic data were collected during emerging adulthood and were genotyped using the Affymetrix 6.0 microarray. The polygenic score was computed using these data. Discrete-time survival analysis was employed to test for intervention main and interaction effects with the polygenic score. We found a main effect of the intervention, with the intervention participants reporting their first cigarette smoked at an age significantly later than controls. We also found an Intervention × Polygenic Score interaction, with participants at the higher end of the polygenic score benefitting the most from the intervention in terms of delayed age of first use. These results are consistent with Belsky and colleagues' (e.g., Belsky, Bakermans-Kranenburg, & van IJzendoorn, 2007; Belsky & Pleuss, 2009, 2013; Ellis, Boyce, Belsky, Bakermans-Kranenburg, & van IJzendoorn, 2011) differential susceptibility hypothesis and the concept of "for better or worse," wherein the expression of genetic variants are optimally realized in the context of an enriched environment, such as provided by a preventive intervention.