Assessment of Psychosocial and Neonatal Risk Factors for Trajectories of Behavioral Dysregulation Among Young Children From 18 to 72 Months of Age.

Importance: Emotional and behavioral dysregulation during early childhood are associated with severe psychiatric, behavioral, and cognitive disorders through adulthood. Identifying the earliest antecedents of persisting emotional and behavioral dysregulation can inform risk detection practices and targeted interventions to promote adaptive developmental trajectories among at-risk children. Objective: To characterize children's emotional and behavioral regulation trajectories and examine risk factors associated with persisting dysregulation across early childhood. Design, Setting, and Participants: This cohort study examined data from 20 United States cohorts participating in Environmental influences on Child Health Outcomes, which included 3934 mother-child pairs (singleton births) from 1990 to 2019. Statistical analysis was performed from January to August 2022. Exposures: Standardized self-reports and medical data ascertained maternal, child, and environmental characteristics, including prenatal substance exposures, preterm birth, and multiple psychosocial adversities. Main Outcomes and Measures: Child Behavior Checklist caregiver reports at 18 to 72 months of age, with Dysregulation Profile (CBCL-DP = sum of anxiety/depression, attention, and aggression). Results: The sample included 3934 mother-child pairs studied at 18 to 72 months. Among the mothers, 718 (18.7%) were Hispanic, 275 (7.2%) were non-Hispanic Asian, 1220 (31.8%) were non-Hispanic Black, 1412 (36.9%) were non-Hispanic White; 3501 (89.7%) were at least 21 years of age at delivery. Among the children, 2093 (53.2%) were male, 1178 of 2143 with Psychosocial Adversity Index [PAI] data (55.0%) experienced multiple psychosocial adversities, 1148 (29.2%) were exposed prenatally to at least 1 psychoactive substance, and 3066 (80.2%) were term-born (≥37 weeks' gestation). Growth mixture modeling characterized a 3-class CBCL-DP trajectory model: high and increasing (2.3% [n = 89]), borderline and stable (12.3% [n = 479]), and low and decreasing (85.6% [n = 3366]). Children in high and borderline dysregulation trajectories had more prevalent maternal psychological challenges (29.4%-50.0%). Multinomial logistic regression analyses indicated that children born preterm were more likely to be in the high dysregulation trajectory (adjusted odds ratio [aOR], 2.76; 95% CI, 2.08-3.65; P < .001) or borderline dysregulation trajectory (aOR, 1.36; 95% CI, 1.06-1.76; P = .02) vs low dysregulation trajectory. High vs low dysregulation trajectories were less prevalent for girls compared with boys (aOR, 0.60; 95% CI, 0.36-1.01; P = .05) and children with lower PAI (aOR, 1.94; 95% CI, 1.51-2.49; P < .001). Combined increases in PAI and prenatal substance exposures were associated with increased odds of high vs borderline dysregulation (aOR, 1.28; 95% CI, 1.08-1.53; P = .006) and decreased odds of low vs high dysregulation (aOR, 0.77; 95% CI, 0.64-0.92; P = .005). Conclusions and Relevance: In this cohort study of behavioral dysregulation trajectories, associations were found with early risk factors. These findings may inform screening and diagnostic practices for addressing observed precursors of persisting dysregulation as they emerge among at-risk children.

Sociodemographic factors associated with smoking risk perception in adolescents in São Paulo, Brazil

Objective: We examined the sociodemographic factors associated with smoking risk perceptions (SRP) in youth living in two very different neighborhoods in the city of São Paulo, Brazil: a middle-class central area (Vila Mariana) and a poor outer-city area (Capão Redondo). Methods: A cross-sectional survey was conducted with 180 public school-attending youth (all aged 12 years) and their parents. SRP was evaluated through self-reports. Weighted multinomial logistic regression was used to examine factors associated with SRP. Results: Smoking was considered a high-risk behavior by 70.9% of adolescents. There were significant differences in SRP associated with socioeconomic status (SES) and maternal smoking status. Having a non-smoking mother was positively associated with perceiving smoking as having low to moderate risk versus no risk (OR=3.91 [95%CI 1.27-12.02]). Attending school in Capão Redondo was associated with perceiving smoking as having high risk compared to no risk (OR=3.00 [95%CI 1.11-8.12]), and low SES was negatively associated with perceiving at least some risk in smoking versus perceiving no risk in this behavior. Conclusions: Youth whose mothers smoke appear to have lower SRP than those whose mothers do not smoke. Living in a poor outer-city area was associated with higher SRP.

Sociodemographic factors associated with smoking risk perception in adolescents in São Paulo, Brazil.

OBJECTIVE: We examined the sociodemographic factors associated with smoking risk perceptions (SRP) in youth living in two very different neighborhoods in the city of São Paulo, Brazil: a middle-class central area (Vila Mariana) and a poor outer-city area (Capão Redondo). METHODS: A cross-sectional survey was conducted with 180 public school-attending youth (all aged 12 years) and their parents. SRP was evaluated through self-reports. Weighted multinomial logistic regression was used to examine factors associated with SRP. RESULTS: Smoking was considered a high-risk behavior by 70.9% of adolescents. There were significant differences in SRP associated with socioeconomic status (SES) and maternal smoking status. Having a non-smoking mother was positively associated with perceiving smoking as having low to moderate risk versus no risk (OR=3.91 [95%CI 1.27-12.02]). Attending school in Capão Redondo was associated with perceiving smoking as having high risk compared to no risk (OR=3.00 [95%CI 1.11-8.12]), and low SES was negatively associated with perceiving at least some risk in smoking versus perceiving no risk in this behavior. CONCLUSIONS: Youth whose mothers smoke appear to have lower SRP than those whose mothers do not smoke. Living in a poor outer-city area was associated with higher SRP.

Cannabis use, attitudes, and legal status in the U.S.: A review.

Cannabis is widely used among adolescents and adults. In the U.S., marijuana laws have been changing, and Americans increasingly favor legalizing cannabis for medical and recreational uses. While some can use cannabis without harm, others experience adverse consequences. The objective of this review is to summarize information on the legal status of cannabis, perceptions regarding cannabis, prevalence and time trends in use and related adverse consequences, and evidence on the relationship of state medical (MML) and recreational (RML) marijuana laws to use and attitudes. Twenty-nine states now have MMLs, and eight of these have RMLs. Since the early 2000s, adult and adolescent perception of cannabis use as risky has decreased. Over the same time, the prevalence of adolescent cannabis use has changed little. However, adult cannabis use, disorders, and related consequences have increased. Multiple nationally representative studies indicate that MMLs have had little effect on cannabis use among adolescents. However, while MML effects have been less studied in adults, available evidence suggests that MMLs increase use and cannabis use disorders in adults. While data are not yet available to evaluate the effect of RMLs, they are likely to lower price, increase availability, and thereby increase cannabis use. More permissive marijuana laws may accomplish social justice aims (e.g., reduce racial disparities in law enforcement) and generate tax revenues. However, such laws may increase cannabis-related adverse health and psychosocial consequences by increasing the population of users. Dissemination of balanced information about the potential health harms of cannabis use is needed.

The widening gender gap in marijuana use prevalence in the U.S. during a period of economic change, 2002-2014.

AIM: Concurrently with increasingly permissive attitudes towards marijuana use and its legalization, the prevalence of marijuana use has increased in recent years in the U.S. Substance use is generally more prevalent in men than women, although for alcohol, the gender gap is narrowing. However, information is lacking on whether time trends in marijuana use differ by gender, or whether socioeconomic status in the context of the Great Recession may affect these changes. METHODS: Using repeated cross-sectional data from the National Survey on Drug Use and Health (2002-2014), we examined changes over time in prevalence of past-year marijuana use by gender, and whether gender differences varied across income levels. After empirically determining a change point in use in 2007, we used logistic regression to test interaction terms including time, gender, and income level. RESULTS: Prevalence of marijuana use increased for both men (+4.0%) and women (+2.7%) from 2002 to 2014, with all of the increase occurring from 2007 to 2014. Increases were greater for men, leading to a widening of the gender gap over time (p<0.001). This divergence occurred primarily due to increased prevalence among men in the lowest income level (+6.2%) from 2007 to 2014. CONCLUSION: Our findings are consistent with other studies documenting increased substance use during times of economic insecurity, especially among men. Corresponding with the Great Recession and lower employment rate beginning in 2007, low-income men showed the greatest increases in marijuana use during this period, leading to a widening of the gender gap in prevalence of marijuana use over time.

Racial discrimination, socioeconomic position, and illicit drug use among US Blacks.

PURPOSE: We assessed the relationship of self-reported racial discrimination with illicit drug use among US Blacks, and whether this differed by socioeconomic position (SEP). METHODS: Among 6587 Black participants in Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (2004-2005), we used multiple logistic regression models to test the association between racial discrimination (measured on the 6-item Experiences of Discrimination scale) and past-year illicit drug use, and whether this differed by SEP. RESULTS: Racial discrimination was associated with past-year drug use [adjusted odds ratio (aOR) 2.32; 95 % confidence interval (CI) 1.70, 3.16] and with frequent drug use (aOR 1.91; 95 % CI 1.22, 2.99). For frequent illicit drug use, this relationship was stronger among higher SEP participants (aOR 3.55; 95 % CI 2.09, 6.02; p interaction < 0.01). CONCLUSIONS: The stronger association between racial discrimination and frequent illicit drug use among higher SEP Blacks suggests a complex interplay between disadvantaged and privileged statuses that merits further investigation. The finding of a significant difference by SEP highlights the importance of considering differences within heterogeneous race/ethnic groups when investigating health disparities.

Economic inequalities in the effectiveness of a primary care intervention for depression and suicidal ideation.

BACKGROUND: Economic disadvantage is associated with depression and suicide. We sought to determine whether economic disadvantage reduces the effectiveness of depression treatments received in primary care. METHODS: We conducted differential-effects analyses of the Prevention of Suicide in Primary Care Elderly: Collaborative Trial, a primary-care-based randomized, controlled trial for late-life depression and suicidal ideation conducted between 1999 and 2001, which included 514 patients with major depression or clinically significant minor depression. RESULTS: The intervention effect, defined as change in depressive symptoms from baseline, was stronger among persons reporting financial strain at baseline (differential effect size = -4.5 Hamilton Depression Rating Scale points across the study period [95% confidence interval = -8.6 to -0.3]). We found similar evidence for effect modification by neighborhood poverty, although the intervention effect weakened after the initial 4 months of the trial for participants residing in poor neighborhoods. There was no evidence of substantial differences in the effectiveness of the intervention on suicidal ideation and depression remission by economic disadvantage. CONCLUSIONS: Economic conditions moderated the effectiveness of primary-care-based treatment for late-life depression. Financially strained individuals benefited more from the intervention; we speculate this was because of the enhanced treatment management protocol, which led to a greater improvement in the care received by these persons. People living in poor neighborhoods experienced only temporary benefit from the intervention. Thus, multiple aspects of economic disadvantage affect depression treatment outcomes; additional work is needed to understand the underlying mechanisms.