The Combined Relationship of Prescription Drug Monitoring Program Enactment and Medical Cannabis Laws with Chronic Pain-Related Healthcare Visits.

BACKGROUND: U.S. state electronic prescription drug monitoring programs (PDMPs) are associated with reduced opioid dispensing among people with chronic pain and may impact use of other chronic pain treatments. In states with medical cannabis laws (MCLs), patients can use cannabis for chronic pain management, reducing their need for chronic-pain related treatment visits and moderating effects of PDMP laws. OBJECTIVE: Given high rates of chronic pain among Medicaid enrollees, we examined associations between PDMP enactment in the presence or absence of MCL on chronic pain-related outpatient and emergency department (ED) visits. DESIGN: We created annual cohorts of Medicaid enrollees with chronic pain diagnoses using national Medicaid claims data from 2002-2013 and 2016. Negative binomial hurdle models produced adjusted odds ratios (aOR) for the likelihood of any chronic pain-related outpatient or ED visit and incident rate ratios (IRR) for the rate of visits among patients with ≥ 1 visit. PARTICIPANTS: Medicaid enrollees aged 18-64 years with chronic pain (N = 4,878,462). MAIN MEASURES: A 3-level state-year variable with the following categories: 1) no PDMP, 2) PDMP enactment in the absence of MCL, or 3) PDMP enactment in the presence of MCL. Healthcare codes for chronic pain-related outpatient and ED visits each year. KEY RESULTS: The sample was primarily female (67.2%), non-Hispanic White (51.2%), and ages 40-55 years (37.2%). Compared to no-PDMP states, PDMP enactment in the absence of MCL was not associated with chronic pain-related outpatient visits but PDMP enactment in the presence of MCL was associated with lower odds of chronic pain-related outpatient visits (aOR = 0.81, 95% CI:0.71-0.92). PDMP enactment was not associated with ED visits, irrespective of MCL. CONCLUSIONS: During a period of PDMP and MCL expansion, our findings suggest treatment shifts for persons with chronic pain away from outpatient settings, potentially related to increased use of cannabis for chronic pain management.

Internet Search Activity for Intentional Self-Harm Forums After a High-Profile News Publication: Interrupted Time Series Analysis.

Searches for "pro-suicide" websites in the United States peaked during the week a high-profile news story was published and remained elevated for 6 months afterward, highlighting the need to avoid mentioning specific sources of explicit suicide instructions in media publications.

Improving Estimates of the Prevalence of Opioid Use Disorder in the United States: Revising Keyes et al.

OBJECTIVES: The United States faces an ongoing drug overdose crisis, but accurate information on the prevalence of opioid use disorder (OUD) remains limited. A recent analysis by Keyes et al used a multiplier approach with drug poisoning mortality data to estimate OUD prevalence. Although insightful, this approach made stringent and partly inconsistent assumptions in interpreting mortality data, particularly synthetic opioid (SO)-involved and non-opioid-involved mortality. We revise that approach and resulting estimates to resolve inconsistencies and examine several alternative assumptions. METHODS: We examine 4 adjustments to Keyes and colleagues' estimation approach: (A) revising how the equations account for SO effects on mortality, (B) incorporating fentanyl prevalence data to inform estimates of SO lethality, (C) using opioid-involved drug poisoning data to estimate a plausible range for OUD prevalence, and (D) adjusting mortality data to account for underreporting of opioid involvement. RESULTS: Revising the estimation equation and SO lethality effect (adj. A and B) while using Keyes and colleagues' original assumption that people with OUD account for all fatal drug poisonings yields slightly higher estimates, with OUD population reaching 9.3 million in 2016 before declining to 7.6 million by 2019. Using only opioid-involved drug poisoning data (adj. C and D) provides a lower range, peaking at 6.4 million in 2014-2015 and declining to 3.8 million in 2019. CONCLUSIONS: The revised estimation equation presented is feasible and addresses limitations of the earlier method and hence should be used in future estimations. Alternative assumptions around drug poisoning data can also provide a plausible range of estimates for OUD population.

Externalizing Behaviors/Violence Exposure and Suicide Among U.S. Adolescents.

INTRODUCTION: This study examines associations between externalizing behaviors/violence exposure and suicidal behavior among U.S. high school students from 1991 to 2021. METHODS: Data for this cross-sectional study were drawn from the Youth Risk Behavior Survey and the total sample contained data on 234,588 adolescents. Logistic regression models were used to assess the relationship between externalizing behaviors/violence exposure and suicidal behavior. To assess trends over time, models were then assessed for multiplicative interactions between externalizing behaviors/violence exposure and time by sex. State-level trends were also assessed. All analyses were conducted in 2024. RESULTS: The prevalence of externalizing behaviors/violence exposure increased among youth with an injurious suicide attempt (ISA). Logistic regression models indicated statistically significant associations across suicidal behaviors with a higher magnitude of association observed among those with an ISA. For instance, compared to those who did not carry a gun, those who carried a gun had 6.32 (95% confidence interval: 4.78, 8.36) times the odds of ISA versus no attempt and 2.66 (95% confidence interval: 2.00, 3.53) times the odds of non-ISA versus no attempt. Stronger associations arose among male individuals. Among those with an ISA in 2021, state-level differences in weapon access emerged. CONCLUSIONS: Adolescents with externalizing behaviors/violence exposure are at an increased risk of an ISA. The relationship varies over time and by sex. Culturally adaptive and structurally competent approaches to mental health and mechanisms to identify at-risk youth are imperative.

Depressive Symptoms in Adolescence and Young Adulthood.

Importance: Depressive symptoms have increased among US adolescents since 2010. It remains unclear as to what extent this increase will persist into young adulthood, potentially turning the youth mental health crisis into a young adult mental health crisis. Objective: To test the association between birth cohort and adolescent depressive symptoms at ages 18, 19 to 20, and 21 to 22 years and changes in these symptoms by cohort. Design, Setting, and Participants: This panel cohort study analyzed data from the Monitoring the Future longitudinal survey from 1990 to 2019, including birth cohorts from 1972 to 2001. Survey respondents were recruited from US high schools in 12th grade and were approximately aged 18 years (at baseline) through age 21 to 22 years (during mail and web follow-up). Data analysis was conducted from April to October 2023. Exposure: Depressive symptoms score (>12 vs ≤12, with >12 representing top-decile scores) on a scale examining affective items (eg, "Life often seems meaningless"). Main Outcomes and Measures: High (vs lower) depressive symptoms at ages 19 to 20 years and 21 to 22 years. Results: The 36 552 respondents included 18 597 females (50.5%), and most reported having a parent who graduated from college (44.8%). Among females, 19.1% (95% CI, 16.7%-21.4%) of the most recent birth cohort (born: 1997-2001) had high depressive symptoms at age 18 years, higher than any previous birth cohort. While prevalence declined by age 21 to 22 years, it remained higher than previous cohorts at that age. Among males, 13.4% (95% CI, 11.2%-15.6%) of the most recent birth cohort had high depressive symptoms at age 18 years, and prevalence increased through young adulthood. Males with high baseline depressive symptoms had 10.24 (95% CI, 7.01-14.97) times the odds of symptoms at age 19 to 20 years and 6.20 (95% CI, 3.93-9.78) times the odds of symptoms at age 21 to 22 years. Females with high baseline depressive symptoms had 9.16 (95% CI, 6.57-12.76) times the odds of symptoms at age 19 to 20 years and 7.28 (95% CI, 4.92-10.78) times the odds of symptoms at age 21 to 22 years. The magnitude of the associations did not vary over time. Population attributable fractions indicated that the total proportion of young adult symptoms associated with depressive symptoms at age 18 years among females has increased; in the most recent birth cohort, 55.25% (95% CI, 38.11%-65.13%) of depressive symptoms at age 21 to 22 years were associated with symptoms at age 18 years. Conclusions and Relevance: This panel cohort study found that increases in depressive symptoms in adolescence persisted into young adulthood, suggesting the need for primary prevention and mental health resources during the adolescent years.

Using geographic effect measure modification to examine socioeconomic-related surface temperature disparities in New York City.

BACKGROUND: Lower socioeconomic (SES) communities are more likely to be situated in urban heat islands and have higher heat exposures than their higher SES counterparts, and this inequality is expected to intensify due to climate change. OBJECTIVES: To examine the relationship between surface temperatures and SES in New York City (NYC) by employing a novel analytical approach. Through incorporating modifiable features, this study aims to identify potential locations where mitigation interventions can be implemented to reduce heat disparities associated with SES. METHODS: Using the 2013-2017 American Community Survey, U.S Landsat-8 Analysis Ready Data surface temperatures (measured on 8/12/2016), and the NYC Land Cover Dataset at the census tract level (2098 tracts), this study examines the association between two components of tract-level SES (percentage of individuals living below the poverty line and the percentage of individuals without a high school degree) and summer day surface temperature in NYC. First, we examine this association with an unrestricted NYC linear regression, examining the city-wide association between the two SES facets and summer surface temperature, with additional models adjusting for altitude, shoreline, and nature-cover. Then, we assess geographic effect measure modification by employing the same models to three supplemental regression model strategies (borough-restricted and community district-restricted linear regressions, and geographically weighted regression (GWR)) that examined associations within smaller intra-city areas. RESULTS: All regression strategies identified areas where lower neighborhood SES composition is associated with higher summer day surface temperatures. The unrestricted NYC regressions revealed widespread disparities, while the borough-restricted and community district-restricted regressions identified specific political boundaries within which these disparities existed. The GWR, addressing spatial autocorrelation, identified significant socioeconomic heat disparities in locations such as northwest Bronx, central Brooklyn, and uptown Manhattan. These findings underscore the need for targeted policies and community interventions, including equitable urban planning and cooling strategies, to mitigate heat exposure in vulnerable neighborhoods. IMPACT STATEMENT: This study redefines previous research on urban socioeconomic disparities in heat exposure by investigating both modifiable (nature cover) and non-modifiable (altitude and shoreline) built environment factors affecting local temperatures at the census tract level in New York City. Through a novel analytical approach, the research aims to highlight intervention opportunities to mitigate heat disparities related to socioeconomic status. By examining the association between surface temperatures and socioeconomic status, as well as investigating different geographic and governmental scales, this study offers actionable insights for policymakers and community members to address heat exposure inequalities effectively across different administrative boundaries. The objective is to pinpoint potential sites for reducing socioeconomic heat exposure disparities at various geographic and political levels.

Association Between Prosuicide Website Searches Through Google and Suicide Death in the United States From 2010 to 2021: Lagged Time-Series Analysis.

BACKGROUND:  The rate of suicide death has been increasing, making understanding risk factors of growing importance. While exposure to explicit suicide-related media, such as description of means in news reports or sensationalized fictional portrayal, is known to increase population suicide rates, it is not known whether prosuicide website forums, which often promote or facilitate information about fatal suicide means, are related to change in suicide deaths overall or by specific means. OBJECTIVE:  This study aimed to estimate the association of the frequency of Google searches of known prosuicide web forums and content with death by suicide over time in the United States, by age, sex, and means of death. METHODS:  National monthly Google search data for names of common prosuicide websites between January 2010 and December 2021 were extracted from Google Health Trends API (application programming interface). Suicide deaths were identified using the CDC (Centers for Disease Control and Prevention) National Vital Statistics System (NVSS), and 3 primary means of death were identified (poisoning, suffocation, and firearm). Distributed lag nonlinear models (DLNMs) were then used to estimate the lagged association between the number of Google searches on suicide mortality, stratified by age, sex, and means, and adjusted for month. Sensitivity analyses, including using autoregressive integrated moving average (ARIMA) modeling approaches, were also conducted. RESULTS:  Months in the United States in which search rates for prosuicide websites increased had more documented deaths by intentional poisoning and suffocation among both adolescents and adults. For example, the risk of poisoning suicide among youth and young adults (age 10-24 years) was 1.79 (95% CI 1.06-3.03) times higher in months with 22 searches per 10 million as compared to 0 searches. The risk of poisoning suicide among adults aged 25-64 was 1.10 (95% CI 1.03-1.16) times higher 1 month after searches reached 9 per 10 million compared with 0 searches. We also observed that increased search rates were associated with fewer youth suicide deaths by firearms with a 3-month time lag for adolescents. These models were robust to sensitivity tests. CONCLUSIONS:  Although more analysis is needed, the findings are suggestive of an association between increased prosuicide website access and increased suicide deaths, specifically deaths by poisoning and suffocation. These findings emphasize the need to further investigate sites containing potentially dangerous information and their associations with deaths by suicide, as they may affect vulnerable individuals.

State-level structural racism and adolescent mental health in the United States.

We explored state-level indicators of structural racism on internalizing symptoms of depressive affect among US adolescents. We merged 16 indicators of state-level structural racism with 2015-19 Monitoring the Future surveys (N=41,258) examining associations with loneliness, self-esteem, self-derogation, and depressive symptoms using regression analyses. Students racialized as Black in states with bans on food stamp eligibility and temporary assistance for drug felony conviction had 1.37 times the odds of high depressive symptoms (95% C.I. 1.01-1.89) compared to students in states without bans. In contrast, students racialized as White living in states with more severe disenfranchisement of people convicted of felonies had lower odds of high self-derogation (OR=0.89, 95% C.I. 0.78-1.02) and high depressive symptoms (OR=0.83, 95% C.I. 0.70-0.99) compared to states with less severe disenfranchisement. These findings demonstrate the need to address the legacy of structural racism at the state level to reduce mental distress for US youth.

Generalized and racialized consequences of the police response to intimate partner violence in the U.S.: A systematic scoping review.

Intimate partner violence (IPV) impacts more than 40% of people in the U.S. Since the 1980s, the U.S. has maintained a police-centric response to IPV, which relies on arrest-via policies like mandatory arrest laws-as its primary intervention. There is mixed evidence on whether IPV policing decreases subsequent IPV at the individual level, but less is known about IPV policing's broader collateral consequences. This systematic scoping review is the first to synthesize existing evidence for the generalized consequences of IPV policing in the U.S. We searched Web of Science, ProQuest, and EBSCO Host, and identified 36 relevant articles. Survivor criminalization was the most studied generalized consequence of IPV policing and existing studies have documented positive associations between mandatory arrest laws and risk of survivor arrest. We also found numerous methodologically rigorous studies on the effects of mandatory arrest laws on population-level IPV victimization. The review also identifies gaps in the evidence base: there is a need for research on additional potential consequences of IPV policing such as police violence against survivors, involvement of child protective services, and psychosocial and physical health outcomes of survivors.

The role of prescription opioid and cannabis supply policies on opioid overdose deaths.

Mandatory prescription drug monitoring programs and cannabis legalization have been hypothesized to reduce overdose deaths. We examined associations between prescription monitoring programs with access mandates ("must-query PDMPs"), legalization of medical and recreational cannabis supply, and opioid overdose deaths in United States counties in 2013-2020. Using data on overdose deaths from the National Vital Statistics System, we fit Bayesian spatiotemporal models to estimate risk differences and 95% credible intervals (CrI) in county-level opioid overdose deaths associated with enactment of these state policies. Must-query PDMPs were independently associated with on average 0.8 (95% CrI: 0.5, 1.0) additional opioid-involved overdose deaths per 100,000 person-years. Legal cannabis supply was not independently associated with opioid overdose deaths in this time period. Must-query PDMPs enacted in the presence of legal (medical or recreational) cannabis supply were associated with 0.7 (95% CrI: 0.4, 0.9) more opioid-involved deaths, relative to must-query PDMPs without any legal cannabis supply. In a time when overdoses are driven mostly by non-prescribed opioids, stricter opioid prescribing policies and more expansive cannabis legalization were not associated with reduced overdose death rates.

Quantifying suicide contagion at population scale.

The spread of suicidal behavior among individuals is often described as a contagion; however, rigorous modeling of suicide as a dynamic, contagious process is minimal. Here, we develop and validate a model-inference system depicting suicide ideation and death and use it to quantify the contagion processes in the US associated with two prominent celebrity suicide events: Robin Williams during 2014 and Kate Spade and Anthony Bourdain, which occurred 3 days apart during 2018. We show that both events produced large transient increases of suicide contagion contact rates, i.e., the spread of suicidal thought and behavior, and a period of elevated suicidal ideation in the general population. Our modeling approach provides a framework for quantifying suicidal contagion and better understanding, preventing, and containing its spread.

Is nicotine vaping associated with subsequent initiation of cannabis or other substances from adolescence into young adulthood?

Prior studies estimating longitudinal associations between nicotine vaping and subsequent initiation of cannabis and other substances (e.g., cocaine, heroin) have been limited by short follow-up periods, convenience sampling, and possibly inadequate confounding control. We sought to address some of these gaps using the nationally representative Population Assessment of Tobacco and Health Study (PATH) to estimate longitudinal associations between nicotine vaping and the initiation of cannabis or other substances among adolescents transitioning to adulthood from2013 to 2019, adjusting for treatment-confounder feedback. Estimands like the longitudinal average treatment effect were not identified because of extensive practical positivity violations. Therefore, we estimated longitudinal incremental propensity score effects, which were identified. We found that reduced odds of nicotine vaping were associated with decreased risks of cannabis or other substance initiation; these associations strengthened over time. For example, by the final wave (2018-19), cannabis and other substance initiation risks were 6.2 (95%CI:4.6-7.7) and 1.8 (95%CI:0.4-3.2) percentage points lower when odds of nicotine vaping were reduced to be 90% lower in all preceding waves (2013-14 to 2016-18), as compared with observed risks. Strategies to lower nicotine vaping prevalence during this period may have resulted in fewer young people initiating cannabis and other substances.

Burden of Mental Disorders and Suicide Attributable to Childhood Maltreatment.

Importance: The proportion of mental disorders and burden causally attributable to childhood maltreatment is unknown. Objective: To determine the contribution of child maltreatment to mental health conditions in Australia, accounting for genetic and environmental confounding. Design, Setting, and Participants: This meta-analysis involved an epidemiological assessment accounting for genetic and environmental confounding between maltreatment and mental health and 3 cross-sectional national surveys: the Australian Child Maltreatment Study (ACMS) 2023, National Study of Mental Health and Well-being 2020-2022, and Australian Burden of Disease Study 2023. Causal estimates were derived on the association between childhood maltreatment and mental health conditions from a meta-analysis of quasi-experimental studies. This was combined with the prevalence of maltreatment from the ACMS to calculate the population attributable fraction (PAF). The PAF was applied to the number and burden of mental health conditions in Australia, sourced from 2 population-based, nationally representative surveys of Australians aged 16 to 85 years, to generate the number and associated burden of mental disorders attributable to child maltreatment. Exposure: Physical abuse, sexual abuse, emotional abuse, or neglect prior to age 18 years. Main Outcomes and Measures: Proportion and number of cases, years of life lost, years lived with disability, and disability-adjusted life-years of mental health conditions (anxiety, depression, harmful alcohol and drug use, self-harm, and suicide attempt) attributable to childhood maltreatment. Results: Meta-analytic estimates were generated from 34 studies and 54 646 participants and applied to prevalence estimates of childhood maltreatment generated from 8503 Australians. Childhood maltreatment accounted for a substantial proportion of mental health conditions, ranging from 21% (95% CI, 13%-28%) for depression to 41% (95% CI, 27%-54%) of suicide attempts. More than 1.8 million cases of depressive, anxiety, and substance use disorders could be prevented if childhood maltreatment was eradicated. Maltreatment accounted for 66 143 years of life lost (95% CI, 43 313-87 314), primarily through suicide, and 184 636 disability-adjusted life-years (95% CI, 109 321-252 887). Conclusions and Relevance: This study provides the first estimates of the causal contribution of child maltreatment to mental health in Australia. Results highlight the urgency of preventing child maltreatment to reduce the population prevalence and burden of mental disorders.

Longitudinal patterns of natural hazard exposures and anxiety and depression symptoms among young adults in four low- and middle-income countries.

We estimated the effect of community-level natural hazard exposure during prior developmental stages on later anxiety and depression symptoms among young adults and potential differences stratified by gender. We analyzed longitudinal data (2002-2020) on 5585 young adults between 19 and 26 years in Ethiopia, India, Peru, and Vietnam. A binary question identified community-level exposure, and psychometrically validated scales measured recent anxiety and depression symptoms. Young adults with three exposure histories ("time point 1," "time point 2," and "both time points") were contrasted with their unexposed peers. We applied a longitudinal targeted minimum loss-based estimator with an ensemble of machine learning algorithms for estimation. Young adults living in exposed communities did not exhibit substantially different anxiety or depression symptoms from their unexposed peers, except for young women in Ethiopia who exhibited less anxiety symptoms (average causal effect [ACE] estimate = - 8.86 [95% CI: - 17.04, - 0.68] anxiety score). In this study, singular and repeated natural hazard exposures generally were not associated with later anxiety and depression symptoms. Further examination is needed to understand how distal natural hazard exposures affect lifelong mental health, which aspects of natural hazards are most salient, how disaster relief may modify symptoms, and gendered, age-specific, and contextual differences.

Reasons for alcohol use from 1976 to 2020 in the United States among individuals aged 18 to 30: Historical changes and mediation of cohort effects in binge drinking.

BACKGROUND: Alcohol use is declining among US adolescents/early young adults and increasing among other adults, with increases in adult binge drinking more concentrated in females than males. Reasons for drinking are historically patterned by age and sex, and if historically variant, could suggest that changes over time could in part explain age- and sex-differential cohort effects. METHODS: We analyzed longitudinal Monitoring the Future data for individuals born from 1958 to 1990. These individuals were aged 29/30 from 1987 to 2020, and first surveyed at age 18 from 1976 to 2008 (N = 14,190). Five reasons for drinking were analyzed (social, enhancement, avoid problems, relax, boredom). Drinking for social reasons and to relax were most prevalent. Total effects of birth cohort predicting past-2-week binge drinking were estimated with polynomial regression models by age; indirect effects through mediators were estimated. RESULTS: Drinking reasons exhibited dynamic time trends across birth cohort and sex. Notable increases were observed in social reasons: among women aged 29/30, social reasons increased from 53% to 87% from 1987 to 2020. Social reasons to drink had prominent positive indirect effects at adult ages (age 23/24 and above among men; age 19 and above among women), indicating that binge drinking would have increased less were it not for the increase in social reasons for drinking. Social reasons also mediated adult male/female differences, indicating that part of the reason sex differences are diminishing is the more rapid increases in social reasons for drinking among women. Indirect effects were also observed for drinking to relax and for boredom, and limited indirect effects were observed for enhancement and to avoid problems. CONCLUSION: Changing endorsement of drinking reasons, especially social reasons, among US adult drinkers mediate cohort effects in binge drinking in the US adult population and explain in part why binge drinking is converging by sex.

Foster Care and Health in Medicaid-Enrolled Children Experiencing Parental Opioid Use Disorder.

Importance: The burden of the US opioid crisis has fallen heavily on children, a vulnerable population increasingly exposed to parental opioid use disorder (POUD) in utero or during childhood. A paucity of studies have investigated foster care involvement among those experiencing parental opioid use during childhood and the associated health and health care outcomes. Objective: To examine the health and health care outcomes of children experiencing POUD with and without foster care involvement. Design, Setting, and Participants: This population-based cohort study used nationwide Medicaid claims data from January 1, 2014, to December 31, 2020. Participants included Medicaid-enrolled children experiencing parental opioid use-related disorder during ages 4 to 18 years. Data were analyzed between January 2023 and February 2024. Exposure: Person-years with (exposed) and without (nonexposed) foster care involvement, identified using Medicaid eligibility, procedure, and diagnostic codes. Main Outcomes and Measures: The main outcomes included physical and mental health conditions, developmental disorders, substance use, and health care utilization. The Pearson χ2 test, the t test, and linear regression were used to compare outcomes in person-years with (exposed) and without (nonexposed) foster care involvement. An event study design was used to examine health care utilization patterns before and after foster care involvement. Results: In a longitudinal sample of 8 939 666 person-years from 1 985 180 Medicaid-enrolled children, 49% of children were females and 51% were males. Their mean (SD) age was 10 (4.2) years. The prevalence of foster care involvement was 3% (276 456 person-years), increasing from 1.5% in 2014 to 4.7% in 2020. Compared with those without foster care involvement (8 663 210 person-years), foster care involvement was associated with a higher prevalence of developmental delays (12% vs 7%), depression (10% vs 4%), trauma and stress (35% vs 7%), and substance use-related disorders (4% vs 1%; P < .001 for all). Foster children had higher rates of health care utilization across a wide array of preventive services, including well-child visits (64% vs 44%) and immunizations (41% vs 31%; P < .001 for all). Health care utilization increased sharply in the first year entering foster care but decreased as children exited care. Conclusions and Relevance: In this cohort study of Medicaid-enrolled children experiencing parental opioid use-related disorder, foster care involvement increased significantly between 2014 and 2020. Involvement was associated with increased rates of adverse health outcomes and health care utilization. These findings underscore the importance of policies that support children and families affected by opioid use disorder, as well as the systems that serve them.

Bringing home the benefits: do pro-family employee benefits mitigate the risk of depression from competing workplace and domestic labor roles?

Despite significant historical progress toward sex/gender parity in employment status in the United States, women remain more likely to provide domestic labor, creating role competition which may increase depression symptoms. Pro-family employee benefits may minimize the stress of competing roles. We tested whether depressive symptoms were higher among women with competing roles versus without competing roles and whether this effect was greater among women without (vs with) pro-family benefits. Data included employed women (n = 9884 person-years) surveyed across 4 waves (2010, 2015, 2017, and 2019) of the National Longitudinal Survey 1997. Depression symptoms were measured with the 5-item short version of the Mental Health Inventory (MHI-5). The effect of interaction between competing roles and pro-family employee benefits on depressive symptoms was also compared with that of non-family-related benefits, using marginal structural models to estimate longitudinal effects in the presence of time-varying confounding. MHI-5 scores were 0.56 points higher (95% CI, 0.15-0.97) among women in competing roles (vs not). Among women without pro-family benefits, competing roles increased MHI-5 scores by 6.10 points (95% CI, 1.14-11.1). In contrast, there was no association between competing roles and MHI-5 scores among women with access to these benefits (MHI-5 difference = 0.44; 95% CI, -0.2 to 1.0). Results were similar for non-family-related benefits. Dual workplace and domestic labor role competition increases women's depression symptoms, though broad availability of workplace benefits may attenuate that risk. This article is part of a Special Collection on Mental Health.

Trends in binge drinking in the United States by LGBTQ+ identity, gender, and age, 2014-2022.

BACKGROUND: People who identify as lesbian, gay, bisexual, transgender, or queer/questioning (LGBTQ+) have higher rates of risky drinking than their cisgender, heterosexual peers. It is unknown to what extent recent age and gender trends in binge drinking vary by LGBTQ+ identity. METHODS: We used nationally representative, serial, cross-sectional surveys from men and women in the 2014-2022 Behavioral Risk Factor Surveillance System (N = 2,099,959) to examine trends in past-month binge drinking by LGBTQ+ identity, gender, and age (18-29, 30-44, 45 and older). We estimated stratum-specific prevalence ratios for an average 1-year increase in prevalence of past-month binge drinking using survey-weighted log-binomial models, controlling for education, race/ethnicity, marriage, and parenthood status. RESULTS: In the beginning of the study period, LGBTQ+ women endorsed binge drinking at higher prevalences than their cisgender, heterosexual peers (i.e., 2014 predicted probability for women ages 30-44: 0.22 for LGBTQ+, 0.15 for cisgender, heterosexual). LGBTQ+ disparities in women's drinking attenuated over the study period among women in midlife (30-44 age group) due to increases in binge drinking among cisgender, heterosexual women (Prevalence Ratio [PR]: 1.025, 95% CI 1.018-1.033). Among men, we saw no evidence of LGBTQ+ disparities in binge drinking probabilities or in binge drinking trends across all age groups. CONCLUSIONS: Disparities in mid-life binge drinking between LGBTQ+ and cisgender women have begun to diminish. These disparities are closing not because LGBTQ+ women are binge drinking less, but because cisgender, heterosexual women in midlife are binge drinking more.