Commentary on Foxon & Selya (2020): Social gradients in long-term health consequences of cigarette use-will adolescent e-cigarette use follow the same trajectory?

As exclusive e-cigarette use increases and combustible cigarette use declines among American youth, tracking and reporting social, racial, and economic disparities as they emerge will increasingly be an important surveillance activity. E-cigarette harm evaluation should also look beyond the immediate physical harms, and include social and financial harms as well.

Trends in marijuana use in two Latin American countries: an age, period and cohort study

BACKGROUND AND AIMS

Uruguay and Chile have the highest levels of marijuana use in Latin America, and have experienced consistent increases during the last two decades. We aim to calculate separate age-period-cohort (APC) effects for past-year marijuana use in Uruguay and Chile, which have similar epidemiologica, and demographic profiles but diverging paths in cannabis regulation.

DESIGN

APC study in which period and cohort effects were estimated as first derivative deviations from their linear age trend, separately by country and gender.

SETTING

Uruguay and Chile.

PARTICIPANTS

General population between 15 and 64 years.

MEASUREMENTS

Past-year marijuana use from household surveys with five repeated cross-sections between 2001 and 2018 in Uruguay (median n = 4616) and 13 between 1994 and 2018 in Chile (median n = 15 895).

FINDINGS

Marijuana use prevalence in both countries peaked at 20-24 years of age and increased consistently across calendar years. Period effects were strong and positive, indicating that increases in use were evident across age groups. Relative to 2006 (reference year), Chilean period effects were approximately 48% lower in 1994 and approximately four times higher in 2018; in Uruguay, these effects were approximately 56% lower in 2001 and almost quadrupled in 2018. We observed non-linear cohort effects in Chile and similar patterns in Uruguay for the overall sample and women. In both countries, marijuana use increased for cohorts born between the mid-1970s and early 1990s, even in the context of rising period effects. Prevalence was consistently larger for men, but period increases were stronger in women.

CONCLUSIONS

Age-period-cohort effects on past-year marijuana use appear to have been similar in Chile and Uruguay, decreasing with age and increasing over time at heterogeneous growth rates depending on gender and cohort. Current levels of marijuana use, including age and gender disparities, seem to be associated with recent common historical events in these two countries.

Parental drug use and racial and ethnic disproportionality in the U.S. foster care system

BACKGROUND AND AIMS

Following nearly a decade of entry declines, foster care entries in the United States began to rise steadily since 2012, largely because of dramatic increases in home removals involving parental drug use (PDU). America's ongoing opioid crisis and recent changes in drug policies have been associated with the growth in PDU entries. The extent to which these and other recent factors have affected historical racial/ethnic differences in the foster care system is unknown. We explored the prevalence of racial/ethnic disproportionality and disparity in PDU entries and described children characteristics across racial/ethnic populations.

DESIGN

Secondary data analysis of the universe of foster care entries in 2008-2017, obtained from the Adoption and Foster Care Analysis and Reporting System.

SETTING

Children ages 0-17 entering foster care in the United States.

CASES

A total of 2,489,423 foster care entries, 29% (N=714,085) designated as involving PDU.

MEASUREMENTS

The rate of PDU entries was measured as the number of foster care entries involving PDU per 1,000 children ages 0-17 in the general population, by racial/ethnic group. Disproportionality in PDU entries was measured as the proportion of a racial/ethnic group among PDU entries over their proportion among the general population.

FINDINGS

From 2008-2017, the rate of PDU entries increased 71% in the general population and across all racial/ethnic groups. Native American children displayed the highest level and fastest growth in PDU entry rates (139%; 1.74 in 2008 to 4.15 in 2017), followed by non-Hispanic White children (112%; 0.70 in 2008 to 1.49 in 2017). Native American children also displayed the highest level of disproportionality in foster care entries, with a representation in PDU entries and other entries about 3.23 and 2.56 times their representation in the general population.

CONCLUSIONS

Foster care entries involving PDU increased considerably across all racial/ethnic populations. Growth in PDU entries was greatest among Native American children, exacerbating existing disproportionalities in the foster care system for this vulnerable population.

Medical marijuana laws and driving under the influence of marijuana and alcohol

AIMS

Medical marijuana law (MML) enactment in the United States has been associated with increased cannabis use but lower traffic fatality rates. We assessed the possible association of MML and individual-level driving under the influence of cannabis (DUIC) and also under the influence of alcohol (DUIA).

DESIGN AND SETTING

Three cross-sectional U.S. adult surveys: The National Longitudinal Alcohol Epidemiologic Survey (NLAES; 1991-1992), the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; 2001-2002), and the NESARC-III (2012-2013).

PARTICIPANTS

The total n was 118 497: 41 764, 41 184, and 35 549 from NLAES, NESARC, and NESARC-III, respectively.

MEASUREMENTS

Across the three surveys, similar questions in the Alcohol Use Disorder and Associated Disabilities Interview Schedule assessed DUIC and DUIA. Ever-MML states enacted MML between 1991-1992 and 2012-2013 (overall period). Early-MML states enacted MML between 1991-1992 and 2001-2002 (early period). Late-MML states enacted MML between 2001-2002 and 2012-2013 (late period). MML effects on change in DUIC and DUIA prevalence were estimated using a difference-in-differences specification to compare changes in MML and other states.

FINDINGS

From 1991-1992 to 2012-2013, DUIC prevalence nearly doubled (from 1.02% to 1.92%), increasing more in states that enacted MML than other states (difference-in-differences [DiD] = 0.59%; 95% CI = 0.06%-1.12%). Most change in DUIC prevalence occurred between 2001-2002 and 2012-2013. DUIC prevalence increased more in states that enacted MML 2001-2002 to 2012-2013 than in never-MML states (DiD = 0.77%; 95% CI = -0.05%-1.59%), and in two early-MML states, California (DiD = 0.82; 95% CI = 0.06-1.59) and Colorado (DiD = 1.32; 95% CI = 0.11-2.53). In contrast, DUIA prevalence appeared unrelated to MML enactment.

CONCLUSIONS

Medical marijuana law enactment in US states appears to have been associated with increased prevalence of driving under the influence of cannabis, but not alcohol.

Cross-country and historical variation in alcohol consumption among older men and women: Leveraging recently harmonized survey data in 21 countries

BACKGROUND

Alcohol consumption causes greater harm in older than younger adults. As the population ages, understanding cross-country and time-varying drinking patterns of older adults is of critical importance. Available evidence relies primarily on ecological data.

METHODS

We harmonized survey data for 179,881 adults age 50+ observed repeatedly between 1998 and 2016 in 21 countries. Next, we estimated historical variation in consumption across countries (overall and stratified by gender and age group 50-64/65+).

RESULTS

On average, 51.95 % of older adults consumed any alcohol over the observed period. For 13 countries, the proportion of older adults who drink increased (mean annual increase: 0.76 percent points). Heavy drinking (men drinks/day>3 or binge>5, women drinks/day>2 or binge>4) peaked at 23.54 % for England in 2010 and lifetime abstainers at 69.65 % for China in 2011. Across countries and among drinkers, consumption frequency was 2.57 days/week, the number of standard drink units when drinking was 2.57, and the average number of drinks/day over a week was 1.12. Consumption patterns varied substantially across countries and historical time. Overall probability and frequency of consumption were higher in men than women, with the largest gaps observed in 2011 for China, but gender gaps decreased (even reversed) in the young old and varied across country and time.

CONCLUSIONS

Wide variation in older adults' alcohol consumption across countries and time suggests that broad scale prevention and intervention efforts can be harnessed for potential population-level health benefits. Further variation by gender and age reflect physiological and social factors simultaneously shaping alcohol consumption.

Differences between blacks and whites in well-being, beliefs, emotional states, behaviors and survival, 1978-2014

Objectives

Material well-being, beliefs, and emotional states are believed to influence one’s health and longevity. In this paper, we explore racial differences in self-rated health, happiness, trust in others, feeling that society is fair, believing in God, frequency of sexual intercourse, educational attainment, and percent in poverty and their association with mortality.

Study designs

Age-period-cohort (APC) study.

Methods

Using data from the 1978–2014 General Social Survey-National Death Index (GSS-NDI), we conducted APC analyses using generalized linear models to quantify the temporal trends of racial differences in our selected measures of well-being, beliefs, and emotional states. We then conducted APC survival analysis using mixed-effects Cox proportional hazard models to quantify the temporal trends of racial differences in survival after removing the effects of racial differences in our selected measures.

Results

For whites, the decline in happiness was steeper than for blacks despite an increase in high school graduation rates among whites relative to blacks over the entire period, 1978–2010. Self-rated health increased in whites relative to blacks from 1978 through 1989 but underwent a relative decline thereafter. After adjusting for age, sex, period effects, and birth cohort effects, whites, overall, had higher rates of self-rated health (odds ratio [OR] = 1.88; 95% confidence interval [CI] = 1.63, 2.16), happiness (OR = 2.05; 1.77, 2.36), and high school graduation (OR = 2.88; 2.34, 3.53) compared with blacks. Self-rated health, happiness, and high school graduation also mediated racial differences in survival over time.

Conclusions

We showed that some racial differences in survival could be partly mitigated by eliminating racial differences in health, happiness, and educational attainment. Future research is needed to analyze longitudinal clusters and identify causal mechanisms by which social, behavioral, and economic interventions can reduce survival differences.

Association of Recreational Cannabis Laws in Colorado and Washington State With Changes in Traffic Fatalities, 2005-2017

IMPORTANCE

An important consequence of cannabis legalization is the potential increase in the number of cannabis-impaired drivers on roads, which may result in higher rates of traffic-related injuries and fatalities. To date, limited information about the effects of recreational cannabis laws (RCLs) on traffic fatalities is available.

OBJECTIVE

To estimate the extent to which the implementation of RCLs is associated with traffic fatalities in Colorado and Washington State.

DESIGN, SETTING, AND PARTICIPANTS

This ecological study used a synthetic control approach to examine the association between RCLs and changes in traffic fatalities in Colorado and Washington State in the post-RCL period (2014-2017). Traffic fatalities data were obtained from the Fatality Analysis Reporting System from January 1, 2005, to December 31, 2017. Data from Colorado and Washington State were compared with synthetic controls. Data were analyzed from January 1, 2005, to December 31, 2017.

MAIN OUTCOME(S) AND MEASURES

The primary outcome was the rate of traffic fatalities. Sensitivity analyses were performed (1) excluding neighboring states, (2) excluding states without medical cannabis laws (MCLs), and (3) using the enactment date of RCLs to define pre-RCL and post-RCL periods instead of the effective date.

RESULTS

Implementation of RCLs was associated with increases in traffic fatalities in Colorado but not in Washington State. The difference between Colorado and its synthetic control in the post-RCL period was 1.46 deaths per 1 billion vehicle miles traveled (VMT) per year (an estimated equivalent of 75 excess fatalities per year; probability = 0.047). The difference between Washington State and its synthetic control was 0.08 deaths per 1 billion VMT per year (probability = 0.674). Results were robust in most sensitivity analyses. The difference between Colorado and synthetic Colorado was 1.84 fatalities per 1 billion VMT per year (94 excess deaths per year; probability = 0.055) after excluding neighboring states and 2.16 fatalities per 1 billion VMT per year (111 excess deaths per year; probability = 0.063) after excluding states without MCLs. The effect was smaller when using the enactment date (24 excess deaths per year; probability = 0.116).

CONCLUSIONS AND RELEVANCE

This study found evidence of an increase in traffic fatalities after the implementation of RCLs in Colorado but not in Washington State. Differences in how RCLs were implemented (eg, density of recreational cannabis stores), out-of-state cannabis tourism, and local factors may explain the different results. These findings highlight the importance of RCLs as a factor that may increase traffic fatalities and call for the identification of policies and enforcement strategies that can help prevent unintended consequences of cannabis legalization.

Changes in the depression gender gap from 1992 to 2014: Cohort effects and mediation by gendered social position

The depression gap (i.e., higher rates of depression among women than men) represents an important mental health disparity in the US. Differences in gendered social position (i.e., the roles, responsibilities, and opportunities available to women and men), which have been changing since the mid-20th Century may contribute to this gender gap. The present study examined the evidence for a changing depression gap across birth cohorts and tested the extent to which any changes over time were mediated by changes in relative social position between women and men. Data were from the National Longitudinal Surveys. The depression gap was defined as differences in mean CESD scores for women vs. men. The analytic sample included 13,666 respondents interviewed from 1992 to 2014. Hierarchical mixed models estimated the magnitude of the gender depression gap over time, its association with 10-year birth cohort (range: 1957-1994), and whether any variation was mediated by ratios among women relative to men of obtaining a college degree, being employed full-time, and the average number of hours spent doing housework per week, three indicators of gendered social position. There was a linear decrease in the depression gap by 0.18 points across birth cohort (95% CI = -0.26, -0.10). The results of the mediation analysis estimated that an increasing ratio of college degree attainment mediated 39% of the gender depression gap across cohorts (95% CI = 0.18, 0.78). There was no evidence of mediation due to changing employment or housework ratios. These findings partially support the hypothesis that the depression gap is changing over time and is meaningfully related to the social environment. Understanding the social causes of the depression gap can illuminate the fundamental processes through which depression disparities may be perpetuated or attenuated over time and may aid in the identification of strategies to reduce them.

Sociodemographic inequalities in depression among older adults: cross-sectional evidence from 18 countries

BACKGROUND

Sociodemographic inequalities in depression are well established. However, less is known about variation in inequalities across countries. In this study, we describe cross-national variation in sociodemographic inequalities in depression among older adults. Comparing inequalities across countries is an important step towards understanding how the social environment shapes depression risk.

METHODS

In this cross-sectional study, we harmonised data from eight large ageing cohort studies from 18 countries. We restricted our study to adults aged 55 years and older, and measured depression using established cut points in shortened Center for Epidemiologic Studies Depression or EURO-D scales. Next, we estimated prevalence ratios for each country by age, marital status, educational attainment, and gender with logistic regression. To compare estimates across countries, we standardised estimates to the mean sociodemographic distribution across our sample.

FINDINGS

Between Jan 1, 2007, and May 31, 2015, 93 590 older adults completed questions related to depressive symptoms. Sociodemographic inequalities in depression varied substantially across countries. Variation was most apparent for age: prevalence ratios (adults aged 75 years or older vs adults aged 55-65 years) ranged from 2·66 (95% CI 2·13-3·20) in Israel to 0·78 (95% CI 0·72-0·84) in the USA. Heterogeneity by other factors was also apparent. Gender prevalence ratios (women vs men) ranged from 1·07 (95% CI 1·01-1·14) in Korea to 1·96 (95% CI 1·55-2·36) in Greece. Educational prevalence ratios (less than secondary education vs some post-secondary education) ranged from 1·01 (95% CI 0·88-1·14) in Japan to 2·34 (95% CI 2·14-2·55) in the USA. Marital status prevalence ratios (divorced or separated vs married) ranged from 1·11 (95% CI 1·01-1·21) in Chile to 2·01 (95% CI 1·73-2·29) in England.

INTERPRETATION

Inequalities in depression among older adults vary substantially across countries, which might be due to country-specific aspects of the social environment. Future research should investigate social inequality determinants of mental health that might inform the design and evaluation of social, economic, and mental health-related policies and interventions to reduce depression.

FUNDING

US National Institute of Mental Health and Chilean National Commission for Scientific and Technological Research.

Underreporting of drug use among electronic dance music party attendees

BACKGROUND AND OBJECTIVES

Electronic dance music (EDM) party attendees are at high risk for drug use. However, little is known regarding the extent of underreporting of drug use in this population, in part, because use of synthetic drugs is often associated with unknown exposure to adulterant drugs. We estimated the extent of underreported drug use in this population by comparing self-reported use to hair toxicology results.

METHODS

Time-space sampling was used to survey adults entering EDM events at nightclubs and dance festivals in New York City from January through August of 2019. Seven hundred ninety-four adults were surveyed and 141 provided analyzable hair samples. We queried past-year use of >90 drugs and tested hair samples using ultra-high performance liquid chromatography-tandem mass spectrometry. We compared hair test results to past-year self-reported use and adjusted prevalence estimates by defining use as reporting use or testing positive. Correlates of discordant reporting, defined as testing positive after not reporting use, were estimated.

RESULTS

Prevalence of drug use increased when considering positive hair tests in estimates, with 43.8% of participants testing positive for at least one drug after not reporting use. For example, based on self-report, cocaine use prevalence was 51.1%, and increased by a factor of 1.6 to a prevalence of 80.0% when adding hair test results to self-report. Younger adults (ages 18-25), black and other/mixed race participants, those reporting "other" sexuality, and those with a college degree were at significantly higher risk for testing positive for drugs not reportedly used. Those who self-reported using more types of drugs were less likely to test positive after not reporting use (adjusted prevalence ratio = 0.53, 95% confidence interval = 0.41-0.68).

CONCLUSIONS

We detected underreporting of drug use, particularly cocaine and ketamine. More research is needed to determine whether this is driven by intentional underreporting or unknown exposure through adulterants.

U.S. Adults With Pain, a Group Increasingly Vulnerable to Nonmedical Cannabis Use and Cannabis Use Disorder: 2001-2002 and 2012-2013

OBJECTIVE

Given changes in U.S. marijuana laws, attitudes, and use patterns, individuals with pain may be an emerging group at risk for nonmedical cannabis use and cannabis use disorder. The authors examined differences in the prevalence of nonmedical cannabis use and cannabis use disorder among U.S. adults with and without pain, as well as whether these differences widened over time.

METHODS

Data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC, 2001-2002; N=43,093) and NESARC-III (2012-2013; N=36,309) were analyzed using logistic regression. Risk differences of past-year nonmedical cannabis use, frequent (at least three times a week) nonmedical use, and DSM-IV cannabis use disorder were estimated for groups with and without moderate to severe pain, and these risk differences were tested for change over time.

RESULTS

Any nonmedical cannabis use was more prevalent in respondents with than without pain (2001-2002: 5.15% compared with 3.74%; 2012-2013: 12.42% compared with 9.02%), a risk difference significantly greater in the 2012-2013 data than in the 2001-2002 data. The prevalence of frequent nonmedical cannabis use did not differ by pain status in the 2001-2002 survey, but was significantly more prevalent in those with than without pain in the 2012-2013 survey (5.03% compared with 3.45%). Cannabis use disorder was more prevalent in respondents with than without pain (2001-2002: 1.77% compared with 1.35%; 2012-2013: 4.18% compared with 2.74%), a significantly greater risk difference in the data from 2012-2013 than from 2001-2002.

CONCLUSIONS

The results suggest that adults with pain are a group increasingly vulnerable to adverse cannabis use outcomes, warranting clinical and public health attention to this risk. Psychiatrists and other health care providers treating patients with pain should monitor such patients for signs and symptoms of cannabis use disorder.

Trends in U.S. women's binge drinking in middle adulthood by socioeconomic status, 2006-2018

BACKGROUND

Binge drinking causes injury and illness. Prevalence of binge drinking doubled in 2006-2018 for women in middle adulthood (ages 30 s and 40 s); these are the first cohorts for whom attaining higher education and income (both associated with increased alcohol use) are highly prevalent. It is unknown whether recent trends in binge drinking among US women aged 30-49 differ by socio-economic status (SES).

METHODS

We examined trends in binge drinking using nationally-representative National Health Interview Surveys (2006-2018) for women age 30-49 (N = 63,426), by education (<high school, high school, some college, college, >college) and family income (<100 %, 100-199 %, 200-399 %, and >400 % of poverty line), controlling for age and race.

RESULTS

The odds of binge drinking increased among all women approximately 7 % annually from 2006 to 2018. The magnitude of the change increased with education; the predicted probability of binge drinking among women at lowest levels of education increased from 10 % to 13 % from 2006 to 2018 (adjusted OR [AOR] 1.02, 95 % CI 0.99, 1.04), and those with the highest education from 13%-32% (AOR 1.10, 95 % CI 1.08-1.12). Women at the lowest income increased binge drinking from 12 % to 16 % (AOR 1.03, 95 % CI 1.01-1.05) and highest income from 17 % to 36 % (AOR 1.09, 95 % CI 1.07-1.10). Interactions between education (F₈₅₅⁴, p < 0.001) and income (F₈₅₇³, p < 0.001) with time confirmed slope differences.

CONCLUSIONS

Nationally, women at all levels of SES increased binge drinking, but increases were most pronounced among high SES women.

County Jail Incarceration Rates and County Mortality Rates in the United States, 1987-2016

Objectives. To evaluate the relationship between changes in county jail incarceration rates and subsequent county mortality rates across the United States.Methods. We analyzed county jail incarceration rates from the Bureau of Justice Statistics from 1987 to 2016 for 1884 counties and mortality rates from the National Vital Statistics System. We fit 1-year-lagged quasi-Poisson 2-way fixed-effects models, controlling for unmeasured stable county characteristics, and measured time-varying confounders, including county poverty and crime rates.Results. A within-county increase in jail incarceration rates from the first to second quartile was associated with a 2.5% increase in mortality rates, adjusting for confounders (risk ratio [RR] = 1.03; 95% confidence interval [CI] = 1.02, 1.03). This association followed a dose-response relationship and was stronger for mortality among those aged 15 to 34 years (RR = 1.07; 95% CI = 1.06, 1.09).Conclusions. Within-county increases in jail incarceration rates are associated with increases in subsequent mortality rates after adjusting for important confounders.Public Health Implications. Our findings add to the growing body of empirical evidence of the harms of mass incarceration. The criminal justice reform and decarceration movements can use these findings as they develop strategies to end mass incarceration.

Associations between digital technology and substance use among U.S. adolescents: Results from the 2018 Monitoring the Future survey

OBJECTIVE

Social media and other digital technology use facilitate connection among adolescents, but also may reinforce norms and substance-related content from peers and advertisers. We use nationally representative data to examine the association between digital technology and past 30-day use of alcohol, cannabis, and vaping.

METHODS

Data were drawn from the 2018 Monitoring the Future survey of US adolescents (N = 44,482). Poisson regressions estimated the association between hours/day of technology use and past 30-day use of alcohol, cannabis, and vaping adjusting for grade, sociodemographics, and other past-year drug use.

RESULTS

Across grades, mean hours of social media/day was 3.06 (standard deviation = 2.90), past 30-day alcohol, cannabis, flavor vaping, cannabis vaping, and nicotine vaping were 15.7 %, 12.6 %, 10.6 %, 4.9 %, and 11.2 %, respectively. Digital technology use that required interaction with others was associated with increased risk of past 30-day drinking, cannabis use, and vaping. For example, social media 3+ hours/day was associated with past 30-day drinking (adjusted relative risk [aRR]: 1.99, 95 % CI: 1.65, 2.41). The magnitude of association was consistent across texting, phone calls, and video chatting, which were all more strongly associated with substance use than with activities that do not require interaction such as gaming and watching videos.

CONCLUSION

Digital technology that facilitates interaction among adolescents, such as texting and social media, is associated with past substance use. Magnitudes of association are consistent across substances, supporting the hypothesis that networks of adolescents are social drivers of substance use, rather than the technology itself.

Trends in characteristics of individuals who use methamphetamine in the United States, 2015-2018

BACKGROUND

Prevalence of self-reported methamphetamine use has remained relatively stable over the past decade; however, deaths and seizures involving methamphetamine have been increasing. Research is needed to determine if select subgroups in the US are at increased risk for use.

METHODS

We examined data from individuals ages ≥12 from the 2015-2018 National Survey on Drug Use and Health (n = 226,632), an annual nationally representative cross-sectional survey of non-institutionalized individuals in the US. Log-linear trends in past-year methamphetamine use were examined, stratified by demographic and drug use characteristics.

RESULTS

Methamphetamine use increased in the US from 2015 to 2018, including among those reporting past-year use of ecstasy/MDMA (6.1 % to 10.8 % [p = .018], a 78.2 % increase), cocaine (8.4 % to 11.8 % [p = .013], a 40.1 % increase), and among those reporting past-year prescription opioid misuse (5.4 % to 8.0 % [p = .019], a 49.2 % increase). Increases were particularly pronounced among those reporting past-year use of heroin (22.5 % to 37.4 % [p = .032], a 66.2 % increase) and LSD (5.1 %-= to 10.3 % [p = .002], a 100.4 % increase). Small increases were also detected among heterosexuals (0.6 % to 0.7 % [p = .044], a 16.2 % increase), those with a high school diploma or less (1.0 % to 1.2 % [p = .020], a 22.0 % increase), and among those receiving government assistance (1.4 % to 1.8 % [p = .046], a 26.2 % increase).

CONCLUSIONS

Methamphetamine use is increasing among people who use other drugs with sharp increases among people who use heroin or LSD in particular, and this could have serious public health consequences. Results may signal that methamphetamine use may continue to increase in the general population.

Earlier age at menarche as a transdiagnostic mechanism linking childhood trauma with multiple forms of psychopathology in adolescent girls

BACKGROUND

Although early life adversity (ELA) increases risk for psychopathology, mechanisms linking ELA with the onset of psychopathology remain poorly understood. Conceptual models have argued that ELA accelerates development. It is unknown whether all forms of ELA are associated with accelerated development or whether early maturation is a potential mechanism linking ELA with psychopathology. We examine whether two distinct dimensions of ELA - threat and deprivation - have differential associations with pubertal timing in girls, and evaluate whether accelerated pubertal timing is a mechanism linking ELA with the onset of adolescent psychopathology.

METHODS

Data were drawn from a large, nationally representative sample of 4937 adolescent girls. Multiple forms of ELA characterized by threat and deprivation were assessed along with age at menarche (AAM) and the onset of DSM-IV fear, distress, externalizing, and eating disorders.

RESULTS

Greater exposure to threat was associated with earlier AAM (B = -0.1, p = 0.001). Each 1-year increase in AAM was associated with reduced odds of fear, distress, and externalizing disorders post-menarche (ORs = 0.74-0.85). Earlier AAM significantly mediated the association between exposure to threat and post-menarche onset of distress (proportion mediated = 6.2%), fear (proportion mediated = 16.3%), and externalizing disorders (proportion mediated = 2.9%).

CONCLUSIONS

Accelerated pubertal development in girls may be one transdiagnostic pathway through which threat-related experiences confer risk for the adolescent onset of mental disorders. Early pubertal maturation is a marker that could be used in both medical and mental health settings to identify trauma-exposed youth that are at risk for developing a mental disorder during adolescence in order to better target early interventions.

Diverging Trends in the Relationship Between Binge Drinking and Depressive Symptoms Among Adolescents in the U.S. From 1991 Through 2018

PURPOSE

From 1991 to 2018, binge drinking among U.S. adolescents has precipitously declined; since 2012, depressive symptoms among U.S. adolescents have sharply increased. Binge drinking and depressive symptoms have historically been correlated, thus understanding whether there are dynamic changes in their association informs prevention and intervention.

METHODS

Data were drawn from the U.S. nationally representative cross-sectional Monitoring the Future surveys (1991-2018) among school-attending 12th-grade adolescents (N = 58,444). Binge drinking was measured as any occasion of more than five drinks/past 2 weeks; depressive symptoms were measured with four items (e.g., belief that life is meaningless or hopeless), dichotomized at 75th percentile. Time-varying effect modeling was conducted by sex, race/ethnicity, and parental education.

RESULTS

In 1991, adolescents with high depressive symptoms had 1.74 times the odds of binge drinking (95% confidence interval 1.54-1.97); by 2018, the strength of association between depressive symptoms and binge drinking among 12th-grade adolescents declined 24% among girls and 25% among boys. There has been no significant relation between depressive symptoms and binge drinking among boys since 2009; among girls, the relationship has been positive throughout most of the study period, with no significant relationship from 2016 to 2017.

CONCLUSIONS

Diverging trends between depressive symptoms and alcohol use among youth are coupled with declines in the strength of their comorbidity. This suggests that underlying drivers of recent diverging population trends are likely distinct and indicates that the nature of comorbidity between substance use and mental health may need to be reconceptualized for recent and future cohorts.

Ridesharing and motor vehicle crashes: a spatial ecological case-crossover study of trip-level data

BACKGROUND

Ridesharing services (eg, Uber, Lyft) have facilitated over 11 billion trips worldwide since operations began in 2010, but the impacts of ridesharing on motor vehicle injury crashes are largely unknown.

- METHODS

This spatial ecological case-cross over used highly spatially and temporally resolved trip-level rideshare data and incident-level injury crash data for New York City (NYC) for 2017 and 2018. The space-time units of analysis were NYC taxi zone polygons partitioned into hours. For each taxi zone-hour we calculated counts of rideshare trip origins and rideshare trip destinations. Case units were taxi zone-hours in which any motor vehicle injury crash occurred, and matched control units were the same taxi zone from 1 week before (-168 hours) and 1 week after (+168 hours) the case unit. Conditional logistic regression models estimated the odds of observing a crash (separated into all injury crashes, motorist injury crashes, pedestrian injury crashes, cyclist injury crashes) relative to rideshare trip counts. Models controlled for taxi trips and other theoretically relevant covariates (eg, precipitation, holidays).

RESULTS

Each additional 100 rideshare trips originating within a taxi zone-hour was associated with 4.6% increased odds of observing any injury crash compared with the control taxi zone-hours (OR=1.046; 95% CI 1.032 to 1.060). Associations were detected for motorist injury and pedestrian injury crashes, but not cyclist injury crashes. Findings were substantively similar for analyses conducted using trip destinations as the exposure of interest.

CONCLUSIONS

Ridesharing contributes to increased injury burden due to motor vehicle crashes, particularly for motorist and pedestrian injury crashes at trip nodes.

Prescription Drug Monitoring Programs and Prescription Opioid-Related Outcomes in the United States

Prescription drug monitoring programs (PDMPs) are a crucial component of federal and state governments' response to the opioid epidemic. Evidence about the effectiveness of PDMPs in reducing prescription opioid-related adverse outcomes is mixed. We conducted a systematic review to examine whether PDMP implementation within the United States is associated with changes in 4 prescription opioid-related outcome domains: opioid prescribing behaviors, opioid diversion and supply, opioid-related morbidity and substance-use disorders, and opioid-related deaths. We searched for eligible publications in Embase, Google Scholar, MEDLINE, and Web of Science. A total of 29 studies, published between 2009 and 2019, met the inclusion criteria. Of the 16 studies examining PDMPs and prescribing behaviors, 11 found that implementing PDMPs reduced prescribing behaviors. All 3 studies on opioid diversion and supply reported reductions in the examined outcomes. In the opioid-related morbidity and substance-use disorders domain, 7 of 8 studies found associations with prescription opioid-related outcomes. Four of 8 studies in the opioid-related deaths domain reported reduced mortality rates. Despite the mixed findings, emerging evidence supports that the implementation of state PDMPs reduces opioid prescriptions, opioid diversion and supply, and opioid-related morbidity and substance-use disorder outcomes. When PDMP characteristics were examined, mandatory access provisions were associated with reductions in prescribing behaviors, diversion outcomes, hospital admissions, substance-use disorders, and mortality rates. Inconsistencies in the evidence base across outcome domains are due to analytical approaches across studies and, to some extent, heterogeneities in PDMP policies implemented across states and over time.

Simulating the Suicide Prevention Effects of Firearms Restrictions Based on Psychiatric Hospitalization and Treatment Records: Social Benefits and Unintended Adverse Consequences

Objectives. To estimate the number of lives saved from firearms suicide with expansions of gun restrictions based on mental health compared with the number who would be unnecessarily restricted. Methods. Agent-based models simulated effects on suicide mortality resulting from 5-year ownership disqualifications in New York City for individuals with any psychiatric hospitalization and, more broadly, anyone receiving psychiatric treatment. Results. Restrictions based on New York State Office of Mental Health-identified psychiatric hospitalizations reduced suicide among those hospitalized by 85.1% (95% credible interval = 36.5%, 100.0%). Disqualifications for anyone receiving psychiatric treatment reduced firearm suicide rates among those affected and in the population; however, 244 820 people were prohibited from firearm ownership who would not have died from firearm suicide even without the policy. Conclusions. In this simulation, denying firearm access to individuals in psychiatric treatment reduces firearm suicide among those groups but largely will not affect population rates. Broad and unfeasible disqualification criteria would needlessly restrict millions at low risk, with potential consequences for civil rights, increased stigma, and discouraged help seeking.