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Cerdá M, Hamilton AD, Hyder A, Rutherford C, Bobashev G, Epstein JM, Hatna E, Krawczyk N, El-Bassel N, Feaster DJ, Keyes KM. Simulating the Simultaneous Impact of Medication for Opioid Use Disorder and Naloxone on Opioid Overdose Death in Eight New York Counties. Epidemiology 2024; 35:418-429. [PMID: 38372618 DOI: 10.1097/ede.0000000000001703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
BACKGROUND The United States is in the midst of an opioid overdose epidemic; 28.3 per 100,000 people died of opioid overdose in 2020. Simulation models can help understand and address this complex, dynamic, and nonlinear social phenomenon. Using the HEALing Communities Study, aimed at reducing opioid overdoses, and an agent-based model, Simulation of Community-Level Overdose Prevention Strategy, we simulated increases in buprenorphine initiation and retention and naloxone distribution aimed at reducing overdose deaths by 40% in New York Counties. METHODS Our simulations covered 2020-2022. The eight counties contrasted urban or rural and high and low baseline rates of opioid use disorder treatment. The model calibrated agent characteristics for opioid use and use disorder, treatments and treatment access, and fatal and nonfatal overdose. Modeled interventions included increased buprenorphine initiation and retention, and naloxone distribution. We predicted a decrease in the rate of fatal opioid overdose 1 year after intervention, given various modeled intervention scenarios. RESULTS Counties required unique combinations of modeled interventions to achieve a 40% reduction in overdose deaths. Assuming a 200% increase in naloxone from current levels, high baseline treatment counties achieved a 40% reduction in overdose deaths with a simultaneous 150% increase in buprenorphine initiation. In comparison, low baseline treatment counties required 250-300% increases in buprenorphine initiation coupled with 200-1000% increases in naloxone, depending on the county. CONCLUSIONS Results demonstrate the need for tailored county-level interventions to increase service utilization and reduce overdose deaths, as the modeled impact of interventions depended on the county's experience with past and current interventions.
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Affiliation(s)
- Magdalena Cerdá
- From the Department of Population Health, New York University School of Medicine, New York, NY
| | - Ava D Hamilton
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Ayaz Hyder
- Division of Environmental Health Sciences, College of Public Health, Ohio State University, Columbus, OH
| | - Caroline Rutherford
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Georgiy Bobashev
- Center for Data Science, RTI International, Research Triangle Park, NC
| | - Joshua M Epstein
- Department of Epidemiology, New York University School of Global Public Health, New York, NY
| | - Erez Hatna
- Department of Epidemiology, New York University School of Global Public Health, New York, NY
| | - Noa Krawczyk
- From the Department of Population Health, New York University School of Medicine, New York, NY
| | | | - Daniel J Feaster
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL
| | - Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
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Dharma C, Keyes KM, Rudolph KE, Shrader CH, Chen YT, Schneider J, Duncan DT. Adverse childhood experiences among black sexually minoritized men and Black transgender women in Chicago. Int J Equity Health 2024; 23:74. [PMID: 38622612 PMCID: PMC11020455 DOI: 10.1186/s12939-024-02168-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 03/29/2024] [Indexed: 04/17/2024] Open
Abstract
BACKGROUND Adverse childhood experiences (ACE) are important predictors of mental health outcomes in adulthood. However, commonly used ACE measures such as the Behavioural Risk Factor Surveillance System (BRFSS) have not been validated among Black sexually minoritized men (SMM) nor transgender women (TW), whom are known to have higher rates of ACE and poorer mental health outcomes. Assessing the psychometric properties of the measure is important for health equity research, as measurements that are not valid for some populations will render uninterpretable results. METHODS Data are drawn from the Neighborhoods and Networks (N2) study, a longitudinal cohort of Black SMM and TW living in Southern Chicago. We conducted confirmatory factor analysis, correlation analysis and a two-parameter Item Response Theory (IRT) on the BRFSS ACE measure, an 11-item measure with 8 domains of ACE. RESULTS One hundred forty seven participants (85% cisgender male) completed the BRFSS ACE measurement in the N2 study with age ranges from 16-34. The cohort were from a low socioeconomic background: about 40% of the cohort were housing insecure and made than $10,000 or less annually. They also have a high number of ACEs; 34% had endorsed 4 or more ACE domains. The three-factor structure fit the BRFSS ACE measure best; the measurement consisted of three subscales: of "Household Dysfunction", "Emotional / Physical", and "Sexual Abuse" (CFI = 0.975, TLI = 0.967, and RMSEA = 0.051). When the 8 domains of ACE were summed to one score, the total score was is correlated with depressive symptoms and anxiety scores, establishing concurrent validity. Item Response Theory model indicated that the "parental separation" domain had a low discrimination (slope) parameter, suggesting that this domain does not distinguish well between those with and without high ACE. CONCLUSIONS The BRFFS ACE measure had adequate reliability, a well-replicated structure and some moderate evidence of concurrent validity among Black SMM and TW. The parental separation domain does not discriminate between those with high and low ACE experiences in this population. With changing population demographics and trends in marriage, further examination of this item beyond the current study is warranted to improve health equity research for all.
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Affiliation(s)
- Christoffer Dharma
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 168Th St, New York, NY, 10032, USA
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 168Th St, New York, NY, 10032, USA
| | - Kara E Rudolph
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 168Th St, New York, NY, 10032, USA
| | - Cho-Hee Shrader
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 168Th St, New York, NY, 10032, USA
| | - Yen-Tyng Chen
- Department of Public Health, William Paterson University of New Jersey, Wayne, NJ, USA
| | - John Schneider
- Department of Medicine, University of Chicago School of Medicine, Chicago, IL, USA
| | - Dustin T Duncan
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 168Th St, New York, NY, 10032, USA.
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Keyes KM, Pakserian D, Rudolph KE, Salum G, Stuart EA. Population Neuroscience: Understanding Concepts of Generalizability and Transportability and Their Application to Improving the Public's Health. Curr Top Behav Neurosci 2024. [PMID: 38589636 DOI: 10.1007/7854_2024_465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2024]
Abstract
In population neuroscience, samples are not often selected with equal or known probability from an underlying population of interest; in other words, samples are not often formally representative of a specified underlying population. This chapter provides an overview of an epidemiological approach to considering the implications of selective participation on the value of our results for population health. We discuss definitions of generalizability and transportability, given the growing recognition that generalizability and transportability are central for interpreting data that are aiming to be population-based. We provide evidence that differences in the prevalence of effect measure modifiers between a study sample and a target population will lead to a lack of generalizability and transportability. We provide an example of an association between a poly-genetic risk score and depression, showing how an internally valid association can differ based on the prevalence of effect measure modifiers. We show that when estimating associations, inferences from a study sample to a population can depend on clearly defining a target population. Given that representative sampling from explicitly defined target populations may not be feasible or realistic in many situations, especially given the sample sizes needed for statistical power for many exposures of interest (and especially when interactions are being tested), researchers should be well versed in tools available to enhance the interpretability of samples regarding target populations.
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Affiliation(s)
- Katherine M Keyes
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
| | | | - Kara E Rudolph
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Giovanni Salum
- Child and Adolescent Mental Health Initiative, Child Mind Institute & Stavros Niarchos Foundation, New York, NY, USA
| | - Elizabeth A Stuart
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Gould MS, Lake AM, Chowdhury S, Noble E, Keyes KM, Gimbrone C, Niederkrotenthaler T. "Breaking the silence" suicide Prevention media campaign in Oregon: Evaluation of impact on help-seeking and suicide mortality. Suicide Life Threat Behav 2024; 54:361-369. [PMID: 38265194 DOI: 10.1111/sltb.13047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/29/2023] [Accepted: 01/09/2024] [Indexed: 01/25/2024]
Abstract
INTRODUCTION Research has established that suicide-related media can impact suicide rates both positively and negatively, supporting efforts to engage the media in the service of suicide prevention. The goal of the current study is to evaluate the impact of a suicide prevention media campaign implemented April 7-14, 2019 in Oregon. METHODS Several indices of help-seeking behavior and suicide risk were employed: suicide-related Google Health API searches, National Suicide Prevention Lifeline (Lifeline) (currently known as the 988 Suicide and Crisis Lifeline) call volume, and state suicide mortality data from April 7, 2016-May 6, 2019. Eight states with similar 2016-2018 average suicide rates were compared with Oregon. Bayesian structural time-series modeling in R was used to test intervention effects. RESULTS During the 30 days following the start of the campaign, there was a significant increase in Lifeline calls from Oregon area codes (2488 observed vs. 2283 expected calls, p = 0.03). There were no significant changes in suicide mortality or suicide-related Google searches in Oregon. CONCLUSIONS The campaign appeared to increase help-seeking behavior in the form of Lifeline calls, without any indication of an iatrogenic suicide contagion effect. However, the campaign's potential to reduce suicide mortality was unmet.
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Affiliation(s)
- Madelyn S Gould
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
- Department of Epidemiology, Columbia University, Mailman School of Public Health New York, New York, USA
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, New York, USA
| | - Alison M Lake
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, New York, USA
| | - Saba Chowdhury
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Emily Noble
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, New York, USA
| | - Katherine M Keyes
- Department of Epidemiology, Columbia University, Mailman School of Public Health New York, New York, USA
| | - Catherine Gimbrone
- Department of Epidemiology, Columbia University, Mailman School of Public Health New York, New York, USA
| | - Thomas Niederkrotenthaler
- Department of Social and Preventive Medicine, Center for Public Health, Unit Suicide Research & Mental Health Promotion, Medical University of Vienna, Vienna, Austria
- Wiener Werkstaette for Suicide Research, Vienna, Austria
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5
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Keyes KM, Platt JM. Annual Research Review: Sex, gender, and internalizing conditions among adolescents in the 21st century - trends, causes, consequences. J Child Psychol Psychiatry 2024; 65:384-407. [PMID: 37458091 DOI: 10.1111/jcpp.13864] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/07/2023] [Indexed: 07/18/2023]
Abstract
Internalizing conditions of psychopathology include depressive and anxiety disorders; they most often onset in adolescence, are relatively common, and contribute to significant population morbidity and mortality. In this research review, we present the evidence that internalizing conditions, including depression and anxiety, as well as psychological distress, suicidal thoughts and self-harm, and fatal suicide, are considerably increasing in adolescent populations across many countries. Evidence indicates that increases are currently greatest in female adolescents. We present an epidemiological framework for evaluating the causes of these increases, and synthesize research on whether several established risk factors (e.g., age of pubertal transition and stressful life events) and novel risk factors (e.g., digital technology and social media) meet conditions necessary to be plausible causes of increases in adolescent internalizing conditions. We conclude that there are a multitude of potential causes of increases in adolescent internalizing conditions, outline evidence gaps including the lack of research on nonbinary and gender nonconforming populations, and recommend necessary prevention and intervention foci from a clinical and public health perspective.
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Affiliation(s)
- Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Jonathan M Platt
- College of Public Health, University of Iowa, Iowa City, IA, USA
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Askari MS, Belsky DW, Olfson M, Mojtabai R, Breslau J, Keyes KM. Poverty and birth cohort effects of experiencing the 2007-2009 Great Recession during adolescence on major depressive episodes and mental health treatment of young adults in the United States. Soc Psychiatry Psychiatr Epidemiol 2024:10.1007/s00127-024-02640-2. [PMID: 38528215 DOI: 10.1007/s00127-024-02640-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 02/12/2024] [Indexed: 03/27/2024]
Abstract
PURPOSE Household economic adversity during adolescence is hypothesized to be a risk factor for poor mental health later in life. To test this hypothesis, we conducted a quasi-experimental analysis of an economic shock, the Great Recession of 2007-2009. We tested if going through adolescence during the Great Recession was associated with increased risk of major depressive episodes (MDE) and mental health treatment in young adulthood with potential moderation by household poverty to explore differences by economic adversity. METHODS We analyzed data on young adults age 18-29 years from the 2005-2019 National Survey on Drug Use and Health (N = 145,394). We compared participants who were adolescents during the recession to those followed-up prior to the recession. Regression analysis tested effect modification by household poverty status. RESULTS Adolescent exposure to the Great Recession was associated with higher likelihood of MDE during young adulthood (aOR = 1.30, 95% CI = 1.23, 1.37); there was no relationship with mental health treatment. Effects on MDE were stronger among those in households with higher incomes compared to those living in poverty. CONCLUSION Findings support the hypothesis that exposure to the Great Recession during adolescence may have increased risk for MDE, but raise questions about whether the mechanism of this association is economic distress.
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Affiliation(s)
- Melanie S Askari
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168 St, New York, NY, 10032, USA.
| | - Daniel W Belsky
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168 St, New York, NY, 10032, USA
| | - Mark Olfson
- New York State Psychiatric Institute, Columbia University, 1051 Riverside Dr, New York, NY, 10032, USA
| | - Ramin Mojtabai
- Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Hampton House 797, Baltimore, MD, 21205, USA
| | - Joshua Breslau
- RAND Corporation, 4570 Fifth Ave #600, Pittsburgh, PA, 15213, USA
| | - Katherine M Keyes
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168 St, New York, NY, 10032, USA
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Kaur N, Adkins-Jackson PB, Joseph V, Campbell MN, Keyes KM. Assessing Trends in Internalizing Symptoms among Racialized and Minoritized Adolescents: Results from the Monitoring the Future Survey 2005-2020. Am J Epidemiol 2024:kwae024. [PMID: 38517022 DOI: 10.1093/aje/kwae024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 12/08/2023] [Accepted: 03/18/2024] [Indexed: 03/23/2024] Open
Abstract
Depressive symptoms have rapidly accelerated among recent US adolescent birth cohorts, yet there remains little understanding of trends among racialized and minoritized groups. These groups may experience depressive symptoms due to the deleterious effects of structural racism. Using 2005-2020 Monitoring the Future survey data, we examine all racialized groups using within-group analyses to observe trends in high depressive symptoms across cohorts. Generally, across racialized groups and ages, the odds of high depressive symptoms increased in recent birth cohorts. For example, among 15-16-year-old students racialized as American Indian or Alaska Native and Black-Hispanic/Latine, the 2003-2006 birth cohort had 3.08 (95% CI: 2.00, 4.76) and 6.95 (95% CI: 2.70, 17.88) times higher odds, respectively, of high depressive symptoms compared to the 1987-1990 birth cohorts. Moreover, in a given year 15-16-year-olds generally experienced the highest depressive symptoms compared to 13-14 and 17-18-year-olds, suggesting that age-effects peaked during mid-adolescence. Depressive symptoms increased among US adolescents by birth cohort, within all racialized and minoritized groups assessed. Public health efforts to reduce disparities may consider barriers such as structural racism that may impact the mental health of racialized/minoritized adolescents while increasing access to culturally competent mental health providers and school-based services.
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Affiliation(s)
- Navdep Kaur
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Paris B Adkins-Jackson
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Victoria Joseph
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Mia N Campbell
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health
| | - Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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Waller BY, Joseph VA, Keyes KM. Racial inequities in homicide rates and homicide methods among Black and White women aged 25-44 years in the USA, 1999-2020: a cross-sectional time series study. Lancet 2024; 403:935-945. [PMID: 38342127 PMCID: PMC11018094 DOI: 10.1016/s0140-6736(23)02279-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 10/04/2023] [Accepted: 10/10/2023] [Indexed: 02/13/2024]
Abstract
BACKGROUND In the USA, Black women aged 25-44 years are disproportionately murdered compared with their White counterparts. Despite ongoing efforts to reduce racial and structural inequities, the result of these efforts remains unclear, particularly in light of the COVID-19 pandemic. METHODS This study examined a cross-sectional time series of homicide death rates, by race, from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research system. We included data for women aged 25-44 years between 1999 and 2020 among 30 states in the USA. Homicide death was classified using underlying cause and multiple cause of death codes; mortality rates were calculated per 100 000 based on US Census Bureau population sizes. Homicide methods were classified as firearm, cutting or piercing, and other. Firearm homicides were compared with other homicides with logistic regression including covariates of race, time, and their interaction. We report odds ratios and 95% CIs. FINDINGS In 2020, the homicide rate among Black women was 11·6 per 100 000, compared with 3 per 100 000 among White women. This inequity has persisted over time and is virtually unchanged since 1999. Homicide inequities vary across US states; in 11 states, racial inequities have increased since 1999. The racial inequity was greatest in Wisconsin, where in 2019-20, Black women aged 25-44 years were 20 times more likely to die by homicide than White women. Homicide by firearm is increasing in frequency; women in the USA had 2·44 (95% CI 2·14-2·78) times the odds of homicide involving firearms in 2019-20 compared with 1999-2003. Firearm homicide deaths are disproportionately concentrated among Black women in every region in the USA. INTERPRETATION Our findings suggest that there is an urgent need to address homicide inequities among Black and White women in the USA. Enacting federal legislation that reduces gun access is a crucial step. Policy makers must address long-standing structural factors that underpin elevated gun violence by implementing sustainable wealth-building opportunities; developing desegregated, mixed income and affordable housing; and increasing green spaces in communities where Black women largely reside. FUNDING National Institute of Mental Health of the National Institutes of Health.
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Affiliation(s)
- Bernadine Y Waller
- Department of Psychiatry, Columbia University Irving Medical Center-New York State Psychiatric Institute, New York, NY, USA.
| | - Victoria A Joseph
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Katherine M Keyes
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
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Gimbrone C, Packard SE, Finsaas MC, Sprague NL, Jacobowitz A, Leventhal AM, Rundle AG, Keyes KM. Sex-Specific Depressive Symptom Trajectories Among Adolescents in Los Angeles County, 2013 to 2017. JAACAP Open 2024; 2:55-65. [PMID: 38469457 PMCID: PMC10927262 DOI: 10.1016/j.jaacop.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
Objective After remaining stable for many years, the prevalence of depression among adolescents increased over the past decade, particularly among girls. In this study, we used longitudinal data from a cohort of high school students to characterize sex-specific trajectories of depressive symptoms during this period of increasing prevalence and widening gender gap in adolescent depression. Method Using data from the Health and Happiness Cohort, a longitudinal 8-wave study of high school students residing in Los Angeles County from 2013 to 2017 (N = 3,393), we conducted a multiple-group, latent class growth analysis by sex to differentiate developmental trajectories in depressive symptoms scores measured by the Center for Epidemiological Studies- Depression (CES-D) scale (range, 0-60). Results A 4-class solution provided the best model fit for both girls and boys. Trajectories among girls included low stable (35.1%), mild stable (42.8%), moderate decreasing (16.2%), and high arching (5.9%). Trajectories among boys included low stable (49.2%), mild increasing (34.7%), moderate decreasing (12.2%), and high increasing (3.9%). Average scores consistently exceeded or crossed the threshold for probable depression (≥16). Across comparable sex-specific trajectory groups, the average CES-D scores of girls were higher than those of boys, whose average scores increased over time. Conclusion In a diverse cohort of students in Los Angeles County, depressive symptom trajectories were comparable to prior time periods but with a higher proportion of students in trajectories characterized by probable depression. Trajectories differed by sex, suggesting that future research should consider differential severity and onset of depression between boys and girls.
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Affiliation(s)
- Catherine Gimbrone
- Ms. Gimbrone, Mr. Packard, Mr. Sprague, Ms. Jacobowitz, Dr. Rundle, and Dr. Keyes are with Columbia the Mailman School of Public Health, Columbia University. Dr. Leventhal is with the Institute for Addiction Science, University of Southern California. Dr. Finsaas is with the City College of New York
| | - Samuel E Packard
- Ms. Gimbrone, Mr. Packard, Mr. Sprague, Ms. Jacobowitz, Dr. Rundle, and Dr. Keyes are with Columbia the Mailman School of Public Health, Columbia University. Dr. Leventhal is with the Institute for Addiction Science, University of Southern California. Dr. Finsaas is with the City College of New York
| | - Megan C Finsaas
- Ms. Gimbrone, Mr. Packard, Mr. Sprague, Ms. Jacobowitz, Dr. Rundle, and Dr. Keyes are with Columbia the Mailman School of Public Health, Columbia University. Dr. Leventhal is with the Institute for Addiction Science, University of Southern California. Dr. Finsaas is with the City College of New York
| | - Nadav L Sprague
- Ms. Gimbrone, Mr. Packard, Mr. Sprague, Ms. Jacobowitz, Dr. Rundle, and Dr. Keyes are with Columbia the Mailman School of Public Health, Columbia University. Dr. Leventhal is with the Institute for Addiction Science, University of Southern California. Dr. Finsaas is with the City College of New York
| | - Ahuva Jacobowitz
- Ms. Gimbrone, Mr. Packard, Mr. Sprague, Ms. Jacobowitz, Dr. Rundle, and Dr. Keyes are with Columbia the Mailman School of Public Health, Columbia University. Dr. Leventhal is with the Institute for Addiction Science, University of Southern California. Dr. Finsaas is with the City College of New York
| | - Adam M Leventhal
- Ms. Gimbrone, Mr. Packard, Mr. Sprague, Ms. Jacobowitz, Dr. Rundle, and Dr. Keyes are with Columbia the Mailman School of Public Health, Columbia University. Dr. Leventhal is with the Institute for Addiction Science, University of Southern California. Dr. Finsaas is with the City College of New York
| | - Andrew G Rundle
- Ms. Gimbrone, Mr. Packard, Mr. Sprague, Ms. Jacobowitz, Dr. Rundle, and Dr. Keyes are with Columbia the Mailman School of Public Health, Columbia University. Dr. Leventhal is with the Institute for Addiction Science, University of Southern California. Dr. Finsaas is with the City College of New York
| | - Katherine M Keyes
- Ms. Gimbrone, Mr. Packard, Mr. Sprague, Ms. Jacobowitz, Dr. Rundle, and Dr. Keyes are with Columbia the Mailman School of Public Health, Columbia University. Dr. Leventhal is with the Institute for Addiction Science, University of Southern California. Dr. Finsaas is with the City College of New York
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Keyes KM, Mauro PM. Measuring progress in publishing scholarship in Drug and Alcohol Dependence on race, ethnicity, and health equity in substance use disorder incidence and outcomes. Drug Alcohol Depend 2024; 256:111111. [PMID: 38388300 DOI: 10.1016/j.drugalcdep.2024.111111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 01/10/2024] [Accepted: 01/18/2024] [Indexed: 02/24/2024]
Affiliation(s)
- Katherine M Keyes
- Department of Epidemiology, Columbia University Mailman School of Public Health, United States.
| | - Pia M Mauro
- Department of Epidemiology, Columbia University Mailman School of Public Health, United States
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11
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Sprague NL, Uong SP, Jacobowitz AL, Packard SE, Quinn JW, Keyes KM, Rundle AG. Examining racial and ethnic heat exposure disparities in New York City (NYC) across different spatial and political scales through geographic effect measure modification. Environ Res 2024; 250:118521. [PMID: 38382663 DOI: 10.1016/j.envres.2024.118521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 02/02/2024] [Accepted: 02/17/2024] [Indexed: 02/23/2024]
Abstract
Structural racism in the United States has resulted in neighborhoods with higher proportions of non-Hispanic Black (Black) or Hispanic/Latine residents having more features that intensify, and less that cool, the local-heat environment. This study identifies areas of New York City (NYC) where racial/ethnic heat exposure disparities are concentrated. We analyzed data from the 2013-2017 American Community Survey, U.S Landsat-8 Analysis Ready Data on summer surface temperatures, and NYC Land Cover Dataset at the census tract-level (n = 2098). Four cross-sectional regression modeling strategies were used to estimate the overall City-wide association, and associations across smaller intra-city areas, between tract-level percent of Black and percent Hispanic/Latine residents and summer day surface temperature, adjusting for altitude, shoreline, and nature-cover: overall NYC linear, borough-specific linear, Community District-specific linear, and geographically weighted regression models. All three linear regressions identified associations between neighborhood racial and ethnic composition and summer day surface temperatures. The geographically weighted regression models, which address the issue of spatial autocorrelation, identified specific locations (such as northwest Bronx, central Brooklyn, and uptown Manhattan) within which racial and ethnic disparities for heat exposures are concentrated. Through examining the overall effects and geographic effect measure modification across spatial scales, the results of this study identify specific geographic areas for intervention to mitigate heat exposure disparities experienced by Black and Hispanic/Latine NYC residents.
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Affiliation(s)
- Nadav L Sprague
- Department of Epidemiology, Columbia Mailman School of Public Health, 722 W 168th St., New York, NY, 10032, USA.
| | - Stephen P Uong
- Department of Epidemiology, Columbia Mailman School of Public Health, 722 W 168th St., New York, NY, 10032, USA
| | - Ahuva L Jacobowitz
- Department of Epidemiology, Columbia Mailman School of Public Health, 722 W 168th St., New York, NY, 10032, USA
| | - Samuel E Packard
- Department of Epidemiology, Columbia Mailman School of Public Health, 722 W 168th St., New York, NY, 10032, USA
| | - James W Quinn
- Department of Epidemiology, Columbia Mailman School of Public Health, 722 W 168th St., New York, NY, 10032, USA
| | - Katherine M Keyes
- Department of Epidemiology, Columbia Mailman School of Public Health, 722 W 168th St., New York, NY, 10032, USA
| | - Andrew G Rundle
- Department of Epidemiology, Columbia Mailman School of Public Health, 722 W 168th St., New York, NY, 10032, USA
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Fink DS, Schleimer JP, Keyes KM, Branas CC, Cerdá M, Gruenwald P, Hasin D. Social and economic determinants of drug overdose deaths: a systematic review of spatial relationships. Soc Psychiatry Psychiatr Epidemiol 2024:10.1007/s00127-024-02622-4. [PMID: 38356082 DOI: 10.1007/s00127-024-02622-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 01/11/2024] [Indexed: 02/16/2024]
Abstract
PURPOSE To synthesize the available evidence on the extent to which area-level socioeconomic conditions are associated with drug overdose deaths in the United States. METHODS We performed a systematic review (in MEDLINE, EMBASE, PsychINFO, Web of Science, EconLit) for papers published prior to July 2022. Eligible studies quantitatively estimated the association between an area-level measure of socioeconomic conditions and drug overdose deaths in the US, and were published in English. We assessed study quality using the Effective Public Health Practice Project Quality Assessment Tool. The protocol was preregistered at Prospero (CRD42019121317). RESULTS We identified 28 studies that estimated area-level effects of socioeconomic conditions on drug overdose deaths in the US. Studies were scored as having moderate to serious risk of bias attributed to both confounding and in analysis. Socioeconomic conditions and drug overdose death rates were moderately associated, and this was a consistent finding across a large number of measures and differences in study designs (e.g., cross-sectional versus longitudinal), years of data analyzed, and primary unit of analysis (e.g., ZIP code, county, state). CONCLUSIONS This review highlights the evidence for area-level socioeconomic conditions are an important factor underlying the geospatial distribution of drug overdose deaths in the US and the need to understand the mechanisms underlying these associations to inform future policy recommendations. The current evidence base suggests that, at least in the United States, employment, income, and poverty interventions may be effective targets for preventing drug overdose mortality rates.
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Affiliation(s)
- David S Fink
- New York State Psychiatric Institute, New York, NY, USA.
- Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Julia P Schleimer
- Violence Prevention Research Program, Department of Emergency Medicine, University of California Davis, Sacramento, CA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Katherine M Keyes
- Columbia University Mailman School of Public Health, New York, NY, USA
| | - Charles C Branas
- Columbia University Mailman School of Public Health, New York, NY, USA
| | - Magdalena Cerdá
- Department of Population Health, New York University, New York, NY, USA
| | - Paul Gruenwald
- Prevention Research Center, Pacific Institute for Research and Evaluation, Berkeley, CA, USA
| | - Deborah Hasin
- New York State Psychiatric Institute, New York, NY, USA
- Columbia University Mailman School of Public Health, New York, NY, USA
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Keyes KM, Kandula S, Martinez-Ales G, Gimbrone C, Joseph V, Monnat S, Rutherford C, Olfson M, Gould M, Shaman J. Geographic Variation, Economic Activity, and Labor Market Characteristics in Trajectories of Suicide in the United States, 2008-2020. Am J Epidemiol 2024; 193:256-266. [PMID: 37846128 DOI: 10.1093/aje/kwad205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 10/18/2023] Open
Abstract
Suicide rates in the United States have increased over the past 15 years, with substantial geographic variation in these increases; yet there have been few attempts to cluster counties by the magnitude of suicide rate changes according to intercept and slope or to identify the economic precursors of increases. We used vital statistics data and growth mixture models to identify clusters of counties by their magnitude of suicide growth from 2008 to 2020 and examined associations with county economic and labor indices. Our models identified 5 clusters, each differentiated by intercept and slope magnitude, with the highest-rate cluster (4% of counties) being observed mainly in sparsely populated areas in the West and Alaska, starting the time series at 25.4 suicides per 100,000 population, and exhibiting the steepest increase in slope (0.69/100,000/year). There was no cluster for which the suicide rate was stable or declining. Counties in the highest-rate cluster were more likely to have agricultural and service economies and less likely to have urban professional economies. Given the increased burden of suicide, with no clusters of counties improving over time, additional policy and prevention efforts are needed, particularly targeted at rural areas in the West.
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Livne O, Malte CA, Olfson M, Wall MM, Keyes KM, Maynard C, Gradus JL, Saxon AJ, Martins SS, Keyhani S, McDowell Y, Fink DS, Mannes ZL, Gutkind S, Hasin DS. Trends in Prevalence of Cannabis Use Disorder Among U.S. Veterans With and Without Psychiatric Disorders Between 2005 and 2019. Am J Psychiatry 2024; 181:144-152. [PMID: 38018141 PMCID: PMC10843609 DOI: 10.1176/appi.ajp.20230168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
OBJECTIVE Cannabis use disorder diagnoses are increasing among U.S. adults and are more prevalent among people with comorbid psychiatric disorders. Recent changes in cannabis laws, increasing cannabis availability, and higher-potency cannabis may have placed people with cannabis use and psychiatric disorders at disproportionately increasing risk for cannabis use disorder. The authors used Veterans Health Administration (VHA) data to examine whether trends in cannabis use disorder prevalence among VHA patients differ by whether they have psychiatric disorders. METHODS VHA electronic health records from 2005 to 2019 (N range, 4,332,165-5,657,277) were used to identify overall and age-group-specific (<35, 35-64, and ≥65 years) trends in prevalence of cannabis use disorder diagnoses among patients with depressive, anxiety, posttraumatic stress, bipolar, or psychotic spectrum disorders and to compare these to corresponding trends among patients without any of these disorders. Given transitions in ICD coding, differences in trends were tested within two periods: 2005-2014 (ICD-9-CM) and 2016-2019 (ICD-10-CM). RESULTS Greater increases in prevalence of cannabis use disorder diagnoses were observed among patients with psychiatric disorders compared to those without (difference in prevalence change, 2005-2014: 1.91%, 95% CI=1.87-1.96; 2016-2019: 0.34%, 95% CI=0.29-0.38). Disproportionate increases in cannabis use disorder prevalence among patients with psychiatric disorders were greatest among those under age 35 between 2005 and 2014, and among those age 65 or older between 2016 and 2019. Among patients with psychiatric disorders, the greatest increases in cannabis use disorder prevalences were observed among those with bipolar and psychotic spectrum disorders. CONCLUSIONS The findings highlight disproportionately increasing disparities in risk of cannabis use disorder among VHA patients with common psychiatric disorders. Greater public health and clinical efforts are needed to monitor, prevent, and treat cannabis use disorder in this population.
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Affiliation(s)
- Ofir Livne
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - Carol A Malte
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - Mark Olfson
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - Melanie M Wall
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - Katherine M Keyes
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - Charles Maynard
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - Jaimie L Gradus
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - Andrew J Saxon
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - Silvia S Martins
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - Salomeh Keyhani
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - Yoanna McDowell
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - David S Fink
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - Zachary L Mannes
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - Sarah Gutkind
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
| | - Deborah S Hasin
- New York State Psychiatric Institute, New York (Livne, Olfson, Wall, Fink, Hasin); Department of Psychiatry (Livne, Olfson, Wall, Hasin) and Department of Emergency Medicine (Mannes), Columbia University Irving Medical Center, New York; Health Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care (Malte, Saxon, McDowell) and Center of Excellence in Substance Addiction Treatment and Education (Malte, Saxon), VA Puget Sound Health Care System, Seattle; Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Keyes, Martins, Mannes, Gutkind, Hasin); Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle (Maynard); Department of Epidemiology, Boston University School of Public Health, and Department of Psychiatry, Boston University School of Medicine, Boston (Gradus); Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle (Saxon); San Francisco VA Medical Center and Department of Medicine, University of California, San Francisco (Keyhani)
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Bushnell GA, Rynn MA, Gerhard T, Keyes KM, Hasin DS, Cerdá M, Nyandege A, Olfson M. Drug overdose risk with benzodiazepine treatment in young adults: Comparative analysis in privately and publicly insured individuals. Addiction 2024; 119:356-368. [PMID: 37816665 PMCID: PMC10838605 DOI: 10.1111/add.16359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 08/31/2023] [Indexed: 10/12/2023]
Abstract
BACKGROUND AND AIMS Benzodiazepines (BZDs) carry a risk for drug overdose and are prescribed alone or simultaneously with selective-serotonin reuptake inhibitors (SSRIs) for the treatment of anxiety and depression in young adults. We aimed to measure risks of drug overdose following BZD treatment initiation, and simultaneous BZD and SSRI initiation, compared with SSRI treatment alone in young adults with depression or anxiety. DESIGN, SETTING, PARTICIPANTS The cohort study used administrative databases covering privately (MarketScan, 1/1/2009-12/31/2018) and publicly (Medicaid, 1/1/2015-12/31/2016) insured young adults (18-29 years) in the United States. Those with depression or anxiety diagnoses newly initiating BZD or SSRI treatment (without BZD or SSRI prescriptions in prior year) were included. Simultaneous "BZD + SSRI" initiation was defined as starting BZD and SSRI treatment on the same day. The cohorts included 604 664 privately insured young adults (BZD = 22%, BZD + SSRI = 10%, SSRI = 68%) and 110 493 publicly insured young adults (BZD = 23%, BZD + SSRI = 5%, SSRI = 72%). MEASUREMENTS Incident medically treated drug overdose events were identified from emergency department and inpatient encounters (ICD poisoning codes) within 6 months of treatment initiation. Crude and propensity-score adjusted cumulative incidence and hazard ratios (HR) were estimated. Sub-analyses evaluated drug overdose intent. FINDINGS Adjusted HRs of drug overdose for BZD vs. SSRI treatment was 1.36 (95% confidence interval [CI]:1.23-1.51) in privately and 1.59 (95%CI:1.37-1.83) in publicly insured young adults. The adjusted HRs of drug overdose for BZD + SSRI treatment vs. SSRI treatment were 1.99 (95%CI:1.77-2.25) in privately and 1.98 (95%CI:1.47-2.68) in publicly insured young adults. CONCLUSIONS Among young adults in the United States, initiating benzodiazepine treatment for anxiety and depression, alone or simultaneously with selective-serotonin reuptake inhibitors (SSRI), appears to have an increased risk of medically treated drug overdose compared with SSRI treatment alone. These associations were observed in publicly and privately insured individuals.
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Affiliation(s)
- Greta A Bushnell
- Center for Pharmacoepidemiology and Treatment Sciences, Rutgers Institute for Health, Health Care Policy and Aging Research, New Brunswick, NJ, USA
- Department of Biostatistics and Epidemiology, Rutgers University School of Public Health, Piscataway, NJ, USA
| | - Moira A Rynn
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Tobias Gerhard
- Center for Pharmacoepidemiology and Treatment Sciences, Rutgers Institute for Health, Health Care Policy and Aging Research, New Brunswick, NJ, USA
- Department of Pharmacy Practice and Administration, Ernest Mario School of Pharmacy, Rutgers University, New Brunswick, NJ, USA
| | - Katherine M Keyes
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Deborah S Hasin
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
- Columbia University Irving Medical Center, New York, NY, USA
| | - Magdalena Cerdá
- Center for Opioid Epidemiology and Policy, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Abner Nyandege
- Center for Pharmacoepidemiology and Treatment Sciences, Rutgers Institute for Health, Health Care Policy and Aging Research, New Brunswick, NJ, USA
| | - Mark Olfson
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
- Columbia University Irving Medical Center, New York, NY, USA
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Keyes KM. Advancing quantitative evaluation of social determinants of mental health and intervention effects: the need for community risk assessments. World Psychiatry 2024; 23:96-97. [PMID: 38214619 PMCID: PMC10785983 DOI: 10.1002/wps.21165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2024] Open
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Palamar JJ, Fitzgerald ND, Carr TH, Rutherford C, Keyes KM, Cottler LB. National and regional trends in seizures of shrooms (psilocybin) in the United States, 2017-2022. Drug Alcohol Depend 2024:111086. [PMID: 38326175 DOI: 10.1016/j.drugalcdep.2024.111086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 11/17/2023] [Accepted: 12/23/2023] [Indexed: 02/09/2024]
Abstract
BACKGROUND Psilocybin, the principle psychoactive component in "shrooms", is regaining acceptance in therapeutic settings, leading to media coverage of medical benefits associated with use. Possession is also becoming increasingly decriminalized throughout the United States. There is a lack of data on prevalence of shroom use, but trends in law enforcement seizure data can provide one indicator of shroom availability in US communities. We determined whether seizures of shrooms have shifted between 2017 and 2022. METHODS This study examined national and regional trends in counts and total weight of shroom seizures reported to High Intensity Drug Trafficking Areas in the US between 2017 and 2022 (N=4526). RESULTS There were 402 seizures in 2017 compared to 1396 in 2022 with the plurality occurring in the Midwest (36.0%), followed by the West (33.5%). Between 2017 Quarter 1 (Q1) and 2022 Quarter 4 (Q4), the number of seizures increased by 368.9% (AQPC=7.0; 95 CI: 5.9-8.1) and there were significant increases in all four regions. In terms of weight, 226.0kg was seized in 2017 vs. 844.0kg in 2022, and the greatest total weight in seizures was in the West (1864.2kg, 42.6%), followed by the South (1831.9kg, 41.8%). Between 2017 Q1 and 2022 Q4, the total weight seized in the US increased by 2749.7% (AQPC=6.2, 95% CI: 0.3-12.4) and there were significant increases in all four regions. CONCLUSIONS Seizures of shrooms have increased, suggesting that availability may be escalating; thus, increases in prevention efforts and harm reduction education are warranted.
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Affiliation(s)
- Joseph J Palamar
- NYU Grossman School of Medicine, Department of Population Health, New York, NY, USA.
| | - Nicole D Fitzgerald
- University of Florida, Department of Epidemiology, College of Public Health and Health Professions, College of Medicine, United States; NDEWS, University of Florida, USA
| | - Thomas H Carr
- Office of National Drug Control Policy, Washington-Baltimore High Intensity Drug Trafficking Areas Program; College of Public Affairs, Center for Drug Policy and Prevention, University of Baltimore, USA
| | - Caroline Rutherford
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Linda B Cottler
- University of Florida, Department of Epidemiology, College of Public Health and Health Professions, College of Medicine, United States; NDEWS, University of Florida, USA
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Kandula S, Keyes KM, Yaari R, Shaman J. Excess Mortality in the United States, 2020-21: County-level Estimates for Population Groups and Associations with Social Vulnerability. medRxiv 2024:2024.01.14.24301290. [PMID: 38293208 PMCID: PMC10827264 DOI: 10.1101/2024.01.14.24301290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
To assess the excess mortality burden of Covid-19 in the United States, we estimated sex, age and race stratified all-cause excess deaths in each county of the US during 2020 and 2021. Using spatial Bayesian models trained on all recorded deaths between 2003-2019, we estimated 463,187 (95% uncertainty interval (UI): 426,139 - 497,526) excess deaths during 2020, and 544,105 (95% UI: 492,202 - 592,959) excess deaths during 2021 nationally, with considerable geographical heterogeneity. Excess mortality rate (EMR) nearly doubled for each 10-year increase in age and was consistently higher among men than women. EMR in the Black population was 1.5 times that of the White population nationally and as high as 3.8 times in some states. Among the 25-54 year population excess mortality was highest in the American Indian/Alaskan Native (AI/AN) population among the four racial groups studied, and in a few states was as high as 6 times that of the White population. Strong association of EMR with county-level social vulnerability was estimated, including positive associations with prevalence of disability (standardized effect: 40.6 excess deaths per 100,000), older population (37.6), poverty (23.6), and unemployment (18.5), whereas population density (-50), higher education (-38.6), and income (-35.4) were protective. Together, these estimates provide a more reliable and comprehensive understanding of the mortality burden of the pandemic in the US thus far. They suggest that Covid-19 amplified social and racial disparities. Short-term measures to protect more vulnerable groups in future Covid-19 waves and systemic corrective steps to address long-term societal inequities are necessary.
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Affiliation(s)
- Sasikiran Kandula
- Department of Environmental Health Sciences, Columbia University, New York, NY
| | | | - Rami Yaari
- Department of Environmental Health Sciences, Columbia University, New York, NY
| | - Jeffrey Shaman
- Department of Environmental Health Sciences, Columbia University, New York, NY
- Columbia Climate School, Columbia University, New York, NY
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Kreski NT, Askari MS, Cerdá M, Chen Q, Hasin DS, Martins SS, Mauro PM, Olfson M, Keyes KM. Changing adolescent activity patterns and the correlation of self-esteem and externalizing mental health symptoms across time: results from the USA from 1991 through 2020. Psychol Med 2024; 54:169-177. [PMID: 37183659 DOI: 10.1017/s0033291723001150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
BACKGROUND Common adolescent psychiatric symptoms cluster into two dominant domains: internalizing and externalizing. Both domains are linked to self-esteem, which serves as a protective factor against a wide range of internalizing and externalizing problems. This study examined trends in US adolescents' self-esteem and externalizing symptoms, and their correlation, by sex and patterns of time use. METHODS Using Monitoring the Future data (N = 338 896 adolescents, grades:8/10/12, years:1991-2020), we generated six patterns of time use using latent profile analysis with 17 behavior items (e.g. sports participation, parties, paid work). Groups were differentiated by high/low engagement in sports and either paid work or high/low peer socialization. Within each group, we mapped annual, sex-stratified means of (and correlation between) self-esteem and externalizing factors. We also examined past-decade rates of change for factor means using linear regression and mapped proportions with top-quartile levels of poor self-esteem, externalizing symptoms, or both. RESULTS We found consistent increases in poor self-esteem, decreases in externalizing symptoms, and a positive correlation between the two across nearly all activity groups. We also identified a relatively constant proportion of those with high levels of both in every group. Increases in poor self-esteem were most pronounced for female adolescents with low levels of socializing, among whom externalizing symptoms also increased. CONCLUSIONS Rising trends in poor self-esteem are consistent across time use groups, as is the existence of a group facing poor self-esteem and externalizing symptoms. Effective interventions for adolescents' poor self-esteem/co-occurring symptoms are needed broadly, but especially among female adolescents with low peer socialization.
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Affiliation(s)
- Noah T Kreski
- Department of Epidemiology, Columbia University, Mailman School of Public Health, 722 W 168th St, R733, New York, NY 10032, USA
| | - Melanie S Askari
- Department of Epidemiology, Columbia University, Mailman School of Public Health, 722 W 168th St, R733, New York, NY 10032, USA
| | - Magdalena Cerdá
- Department of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue 4-16, New York, NY 10016, USA
| | - Qixuan Chen
- Department of Biostatistics, Columbia University, Mailman School of Public Health, 722 West 168th Street, R644, New York, NY 10032, USA
| | - Deborah S Hasin
- Department of Epidemiology, Columbia University, Mailman School of Public Health, 722 W 168th St, R733, New York, NY 10032, USA
- Department of Psychiatry, New York State Psychiatric Institute, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, 722 W. 168th Street, Room 228F, New York, NY 10032, USA
| | - Silvia S Martins
- Department of Epidemiology, Columbia University, Mailman School of Public Health, 722 W 168th St, R733, New York, NY 10032, USA
| | - Pia M Mauro
- Department of Epidemiology, Columbia University, Mailman School of Public Health, 722 W 168th St, R733, New York, NY 10032, USA
| | - Mark Olfson
- Department of Epidemiology, Columbia University, Mailman School of Public Health, 722 W 168th St, R733, New York, NY 10032, USA
- Department of Psychiatry, New York State Psychiatric Institute, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, 722 W. 168th Street, Room 228F, New York, NY 10032, USA
| | - Katherine M Keyes
- Department of Epidemiology, Columbia University, Mailman School of Public Health, 722 W 168th St, R733, New York, NY 10032, USA
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Askari MS, Olfson M, Belsky DW, Breslau J, Keyes KM. The Influence of the Great Recession on Adolescent Major Depressive Episodes and Treatment in the United States: An Interrupted Time Series Analysis. J Adolesc Health 2024; 74:51-59. [PMID: 37831049 DOI: 10.1016/j.jadohealth.2023.08.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 07/22/2023] [Accepted: 08/14/2023] [Indexed: 10/14/2023]
Abstract
PURPOSE In the United States, adolescent depression increased beginning in 2008-2010, coinciding with the Great Recession. We investigated whether this time of changing economic circumstances impacted adolescent depression and treatment. METHODS We analyzed data for adolescents aged 12-17 years from the 2004-2019 National Survey on Drug Use and Health (N = 256,572). Adolescents' past-year major depressive episodes (MDEs) were measured by self-reported symptoms. MDE treatment included seeing a health professional or receiving MDE medication. We tested how MDE and MDE treatment changed from pre-Great Recession (2004 to Fall 2007) to post-Great Recession (Winter 2007-2019) using interrupted time-series segmented regression models, accounting for seasonality and autocorrelation and testing for moderation by household poverty. RESULTS The Great Recession was not associated with an immediate increase in MDE prevalence (β:-0.77 [i.e., quarter-year change in prevalence], 95% confidence interval (CI): -2.23, 0.69). However, the increase in MDE prevalence accelerated following the Great Recession (β: 0.29, 95% CI: 0.13, 0.44). The Great Recession was not associated with immediate or long-term changes in adolescent MDE treatment (immediate β: -2.87, 95% CI: -7.79, 2.04; long-term β: 0.03, 95% CI: -0.46, 0.51). Effects were similar for households by poverty status. DISCUSSION The Great Recession was not associated with increased adolescent depression prevalence, although there was an acceleration in the trend of adolescent MDE following the recession. The prevalence of MDE treatment remained stable. Adolescent depression prevention efforts should be heightened as prevalence increases, including actively engaging caregivers as family supports to alleviate potential negative implications of economic distress for adolescent MDE.
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Affiliation(s)
- Melanie S Askari
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
| | - Mark Olfson
- Columbia University, New York State Psychiatric Institute, New York, New York
| | - Daniel W Belsky
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
| | | | - Katherine M Keyes
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
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21
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Veldhuis CB, Kreski NT, Usseglio J, Keyes KM. Are Cisgender Women and Transgender and Nonbinary People Drinking More During the COVID-19 Pandemic? It Depends. Alcohol Res 2023; 43:05. [PMID: 38170029 PMCID: PMC10760999 DOI: 10.35946/arcr.v43.1.05] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2024] Open
Abstract
PURPOSE This narrative review of research conducted during the first 2 years of the COVID-19 pandemic examines whether alcohol use among cisgender women and transgender and nonbinary people increased during the pandemic. The overarching goal of the review is to inform intervention and prevention efforts to halt the narrowing of gender-related differences in alcohol use. SEARCH METHODS Eight databases (PubMed, APA PsycInfo, CINAHL, Embase, Scopus, Gender Studies Database, GenderWatch, and Web of Science) were searched for peer-reviewed literature, published between March 2020 and July 2022, that reported gender differences or findings specific to women, transgender or nonbinary people, and alcohol use during the pandemic. The search focused on studies conducted in the United States and excluded qualitative research. SEARCH RESULTS A total 4,132 records were identified, including 400 duplicates. Of the remaining 3,732 unique records for consideration in the review, 51 were ultimately included. Overall, most studies found increases in alcohol use as well as gender differences in alcohol use, with cisgender women experiencing the most serious consequences. The findings for transgender and nonbinary people were equivocal due to the dearth of research and because many studies aggregated across gender. DISCUSSION AND CONCLUSIONS Alcohol use by cisgender women seems to have increased during the pandemic; however, sizable limitations need to be considered, particularly the low number of studies on alcohol use during the pandemic that analyzed gender differences. This is of concern as gender differences in alcohol use had been narrowing before the pandemic; and this review suggests the gap has narrowed even further. Cisgender women and transgender and nonbinary people have experienced sizable stressors during the pandemic; thus, understanding the health and health behavior impacts of these stressors is critical to preventing the worsening of problematic alcohol use.
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Affiliation(s)
- Cindy B Veldhuis
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
- Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, Chicago, Illinois
| | - Noah T Kreski
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - John Usseglio
- Augustus C. Long Health Sciences Library, Columbia Irving Medical Center, Columbia University, New York, New York
| | - Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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Jiang T, Nagy D, Rosellini AJ, Horváth-Puhó E, Keyes KM, Lash TL, Galea S, Sørensen HT, Gradus JL. Prediction of Suicide Attempts Among Persons with Depression: A Population-Based Case Cohort Study. Am J Epidemiol 2023:kwad237. [PMID: 38055633 DOI: 10.1093/aje/kwad237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023] Open
Abstract
Studies have highlighted the potential importance of modeling interactions for suicide attempt prediction. This case-cohort study identified risk factors for suicide attempts among persons with depression in Denmark using statistical approaches that do (random forests) or do not model interactions (least absolute shrinkage and selection operator regression [LASSO]). Cases made a non-fatal suicide attempt (n = 6,032) between 1995 and 2015. The comparison subcohort was a 5% random sample of all persons in Denmark on January 1, 1995 (n = 11,963). We used random forests and LASSO for sex-stratified prediction of suicide attempts from demographic variables, psychiatric and somatic diagnoses, and treatments. Poisonings, psychiatric disorders, and medications were important predictors for both sexes. Area under the receiver operating characteristic curve (AUC) values were higher in LASSO models (0.85 [95% CI = 0.84, 0.86] in men; 0.89 [95% CI = 0.88, 0.90] in women) than random forests (0.76 [95% CI = 0.74, 0.78] in men; 0.79 [95% CI = 0.78, 0.81] in women). Automatic detection of interactions via random forests did not result in better model performance than LASSO models that did not model interactions. Due to the complex nature of psychiatric comorbidity and suicide, modeling interactions may not always be the optimal statistical approach to enhancing suicide attempt prediction in high-risk samples.
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Affiliation(s)
- Tammy Jiang
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Dávid Nagy
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Anthony J Rosellini
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
- Center for Anxiety and Related Disorders, Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA
| | - Erzsébet Horváth-Puhó
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Katherine M Keyes
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Timothy L Lash
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Sandro Galea
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
- Department of Family Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Henrik T Sørensen
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | - Jaimie L Gradus
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
- Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
- Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts, USA
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23
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Joseph VA, Martínez-Alés G, Olfson M, Shaman J, Gould MS, Gimbrone C, Keyes KM. Trends in Suicide Among Black Women in the United States, 1999-2020. Am J Psychiatry 2023; 180:914-917. [PMID: 38037401 DOI: 10.1176/appi.ajp.20230254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Affiliation(s)
- Victoria A Joseph
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Joseph, Gimbrone, Keyes); Department of Epidemiology, Columbia University Mailman School of Public Health, Columbia University, New York; Department of Psychiatry, Columbia University, New York (Olfson, Gould); Department of Environmental Health Sciences (EHS), Columbia University Mailman School of Public Health, Columbia University, New York; Columbia Climate School, Columbia University, New York (Shaman); CAUSALab, Harvard University T.H. Chan School of Public Health, Boston; Department of Epidemiology, Columbia University Mailman School of Public Health, New York; Mental Health Network Biomedical Research Center (CIBERSAM), Madrid, Spain; Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain (Martínez-Alés)
| | - Gonzalo Martínez-Alés
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Joseph, Gimbrone, Keyes); Department of Epidemiology, Columbia University Mailman School of Public Health, Columbia University, New York; Department of Psychiatry, Columbia University, New York (Olfson, Gould); Department of Environmental Health Sciences (EHS), Columbia University Mailman School of Public Health, Columbia University, New York; Columbia Climate School, Columbia University, New York (Shaman); CAUSALab, Harvard University T.H. Chan School of Public Health, Boston; Department of Epidemiology, Columbia University Mailman School of Public Health, New York; Mental Health Network Biomedical Research Center (CIBERSAM), Madrid, Spain; Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain (Martínez-Alés)
| | - Mark Olfson
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Joseph, Gimbrone, Keyes); Department of Epidemiology, Columbia University Mailman School of Public Health, Columbia University, New York; Department of Psychiatry, Columbia University, New York (Olfson, Gould); Department of Environmental Health Sciences (EHS), Columbia University Mailman School of Public Health, Columbia University, New York; Columbia Climate School, Columbia University, New York (Shaman); CAUSALab, Harvard University T.H. Chan School of Public Health, Boston; Department of Epidemiology, Columbia University Mailman School of Public Health, New York; Mental Health Network Biomedical Research Center (CIBERSAM), Madrid, Spain; Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain (Martínez-Alés)
| | - Jeffrey Shaman
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Joseph, Gimbrone, Keyes); Department of Epidemiology, Columbia University Mailman School of Public Health, Columbia University, New York; Department of Psychiatry, Columbia University, New York (Olfson, Gould); Department of Environmental Health Sciences (EHS), Columbia University Mailman School of Public Health, Columbia University, New York; Columbia Climate School, Columbia University, New York (Shaman); CAUSALab, Harvard University T.H. Chan School of Public Health, Boston; Department of Epidemiology, Columbia University Mailman School of Public Health, New York; Mental Health Network Biomedical Research Center (CIBERSAM), Madrid, Spain; Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain (Martínez-Alés)
| | - Madelyn S Gould
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Joseph, Gimbrone, Keyes); Department of Epidemiology, Columbia University Mailman School of Public Health, Columbia University, New York; Department of Psychiatry, Columbia University, New York (Olfson, Gould); Department of Environmental Health Sciences (EHS), Columbia University Mailman School of Public Health, Columbia University, New York; Columbia Climate School, Columbia University, New York (Shaman); CAUSALab, Harvard University T.H. Chan School of Public Health, Boston; Department of Epidemiology, Columbia University Mailman School of Public Health, New York; Mental Health Network Biomedical Research Center (CIBERSAM), Madrid, Spain; Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain (Martínez-Alés)
| | - Catherine Gimbrone
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Joseph, Gimbrone, Keyes); Department of Epidemiology, Columbia University Mailman School of Public Health, Columbia University, New York; Department of Psychiatry, Columbia University, New York (Olfson, Gould); Department of Environmental Health Sciences (EHS), Columbia University Mailman School of Public Health, Columbia University, New York; Columbia Climate School, Columbia University, New York (Shaman); CAUSALab, Harvard University T.H. Chan School of Public Health, Boston; Department of Epidemiology, Columbia University Mailman School of Public Health, New York; Mental Health Network Biomedical Research Center (CIBERSAM), Madrid, Spain; Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain (Martínez-Alés)
| | - Katherine M Keyes
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York (Joseph, Gimbrone, Keyes); Department of Epidemiology, Columbia University Mailman School of Public Health, Columbia University, New York; Department of Psychiatry, Columbia University, New York (Olfson, Gould); Department of Environmental Health Sciences (EHS), Columbia University Mailman School of Public Health, Columbia University, New York; Columbia Climate School, Columbia University, New York (Shaman); CAUSALab, Harvard University T.H. Chan School of Public Health, Boston; Department of Epidemiology, Columbia University Mailman School of Public Health, New York; Mental Health Network Biomedical Research Center (CIBERSAM), Madrid, Spain; Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain (Martínez-Alés)
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Keyes KM, Patrick ME. Hallucinogen use among young adults ages 19-30 in the United States: Changes from 2018 to 2021. Addiction 2023; 118:2449-2454. [PMID: 37287110 DOI: 10.1111/add.16259] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 04/27/2023] [Indexed: 06/09/2023]
Abstract
BACKGROUND AND AIMS Given the shifting landscape of hallucinogen use, particularly with increased therapeutic use, understanding current changes in use is a necessary part of examining the potential risk hallucinogens pose to vulnerable populations, such as young adults. This study aimed to measure hallucinogen use among young adults aged 19-30 years from 2018 to 2021. DESIGN, SETTING AND PARTICIPANTS This was a longitudinal cohort study among young adults aged 19-30 years from the US general population, interviewed between 2018 and 2021. Participants comprised 11 304 unique respondents, with an average number of follow-ups of 1.46 (standard deviation = 0.50). Of the observed data points, 51.9% were among females. MEASUREMENTS We examined past 12-month self-reported use of lysergic acid diethylamide (LSD), as well as hallucinogens besides LSD (e.g. psilocybin), monitoring any use as well as frequency, overall and by sex. FINDINGS From 2018 to 2021, past 12-month use of LSD among young adults in the US remained relatively unchanged, from 3.7% [95% confidence interval (CI) = 3.1-4.3] in 2018 to 4.2% in 2021 (95% CI = 3.4-5.0). Non-LSD hallucinogen [e.g. 'shrooms', psilocybin or PCP (phenylcyclohexyl piperidine)] use, however, increased in prevalence from 3.4% (95% CI = 2.8-4.1) to 6.6% from 2018 to 2021 (95% CI = 5.5-7.6). Across years, the odds of non-LSD use were higher for males [odds ratio (OR) = 1.86, 95% CI = 1.52-2.26] and lower for black than white participants (OR = 0.29, 95% CI = 0.19-0.47) and those without a college-educated parent (OR = 0.80, 95% CI = 0.64-0.99). Demographic disparities were similar for LSD use. CONCLUSION Prevalence of past-year use non-lysergic acid diethylamide (LSD) hallucinogen was twice as high in 2021 as in 2018 among US young adults. Correlates of non-LSD hallucinogen use included being male, white and from higher socio-economic status backgrounds.
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Affiliation(s)
- Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Megan E Patrick
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
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Pamplin II JR, Rudolph KE, Keyes KM, Susser ES, Bates LM. Investigating a Paradox: Toward a Better Understanding of the Relationships Between Racial Group Membership, Stress, and Major Depressive Disorder. Am J Epidemiol 2023; 192:1845-1853. [PMID: 37230957 PMCID: PMC11043785 DOI: 10.1093/aje/kwad128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 04/05/2023] [Accepted: 05/19/2023] [Indexed: 05/27/2023] Open
Abstract
Epidemiologic studies in the United States routinely report a lower or equal prevalence of major depressive disorder (MDD) for Black people relative to White people. Within racial groups, individuals with greater life stressor exposure experience greater prevalence of MDD; however, between racial groups this pattern does not hold. Informed by theoretical and empirical literature seeking to explain this "Black-White depression paradox," we outline 2 proposed models for the relationships between racial group membership, life stressor exposure, and MDD: an effect modification model and an inconsistent mediator model. Either model could explain the paradoxical within- and between-racial group patterns of life stressor exposure and MDD. We empirically estimated associations under each of the proposed models using data from 26,960 self-identified Black and White participants in the National Epidemiologic Survey on Alcohol and Related Conditions III (United States, 2012-2013). Under the effect modification model, we estimated relative risk effect modification using parametric regression with a cross-product term, and under the inconsistent mediation model, we estimated interventional direct and indirect effects using targeted minimum loss-based estimation. We found evidence of inconsistent mediation (i.e., direct and indirect effects operating in opposite directions), suggesting a need for greater consideration of explanations for racial patterns in MDD that operate independent of life stressor exposure. This article is part of a Special Collection on Mental Health.
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Affiliation(s)
- John R Pamplin II
- Correspondence to Dr. John Pamplin, Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W. 168th Street #520, New York, NY 10032 (e-mail: )
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Levy NS, Keyes KM. Causal Knowledge as a Prerequisite for Interrogating Bias: Reflections on Hernán et al. 20 Years Later. Am J Epidemiol 2023; 192:1797-1800. [PMID: 34791035 DOI: 10.1093/aje/kwab274] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 10/22/2021] [Accepted: 11/09/2021] [Indexed: 11/13/2022] Open
Abstract
In their seminal 2002 paper, "Causal Knowledge as a Prerequisite for Confounding Evaluation: An Application to Birth Defects Epidemiology," Hernán et al. (Am J Epidemiol. 2002;155(2):176-184) emphasized the importance of using theory rather than data to guide confounding control, focusing on colliders as variables that share characteristics with confounders but whose control may actually introduce bias into analyses. In this commentary, we propose that the importance of this paper stems from the connection the authors made between nonexchangeability as the ultimate source of bias and structural representations of bias using directed acyclic graphs. This provided both a unified approach to conceptualizing bias and a means of distinguishing between different sources of bias, particularly confounding and selection bias. Drawing on examples from the paper, we also highlight unresolved questions about the relationship between collider bias, selection bias, and generalizability and argue that causal knowledge is a prerequisite not only for identifying confounders but also for developing any hypothesis about potential sources of bias.
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27
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Hasin DS, Wall MM, Alschuler DM, Mannes ZL, Malte C, Olfson M, Keyes KM, Gradus JL, Cerdá M, Maynard CC, Keyhani S, Martins SS, Fink DS, Livne O, McDowell Y, Sherman S, Saxon AJ. Chronic pain, cannabis legalisation, and cannabis use disorder among patients in the US Veterans Health Administration system, 2005 to 2019: a repeated, cross-sectional study. Lancet Psychiatry 2023; 10:877-886. [PMID: 37837985 PMCID: PMC10627060 DOI: 10.1016/s2215-0366(23)00268-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 07/24/2023] [Accepted: 07/28/2023] [Indexed: 10/16/2023]
Abstract
BACKGROUND Cannabis use disorder is associated with considerable comorbidity and impairment in functioning, and prevalence is increasing among adults with chronic pain. We aimed to assess the effect of introduction of medical cannabis laws (MCL) and recreational cannabis laws (RCL) on the increase in cannabis use disorder among patients in the US Veterans Health Administration (VHA). METHODS Data from patients with one or more primary care, emergency, or mental health visit to the VHA in 2005-19 were analysed using 15 repeated cross-sectional VHA electronic health record datasets (ie, one dataset per year). Patients in hospice or palliative care were excluded. Patients were stratified as having chronic pain or not using an American Pain Society taxonomy of painful medical conditions. We used staggered-adoption difference-in-difference analyses to estimate the role of MCL and RCL enactment in the increases in prevalence of diagnosed cannabis use disorder and associations with presence of chronic pain, accounting for the year that state laws were enacted. We did this by fitting a linear binomial regression model stratified by pain, with time-varying cannabis law status, fixed effects for state, categorical year, time-varying state-level sociodemographic covariates, and patient covariates (age group [18-34 years, 35-64 years, and 65-75 years], sex, and race and ethnicity). FINDINGS Between 2005 and 2019, 3 234 382-4 579 994 patients were included per year. Among patients without pain in 2005, 5·1% were female, mean age was 58·3 (SD 12·6) years, and 75·7%, 15·6%, and 3·6% were White, Black, and Hispanic or Latino, respectively. In 2019, 9·3% were female, mean age was 56·7 (SD 15·2) years, and 68·1%, 18·2%, and 6·5% were White, Black, and Hispanic or Latino, respectively. Among patients with pain in 2005, 7·1% were female, mean age was 57·2 (SD 11·4) years, and 74·0%, 17·8%, and 3·9% were White, Black, and Hispanic or Latino, respectively. In 2019, 12·4% were female, mean age was 57·2 (SD 13·8) years, and 65·3%, 21·9%, and 7·0% were White, Black, and Hispanic or Latino, respectively. Among patients with chronic pain, enacting MCL led to a 0·135% (95% CI 0·118-0·153) absolute increase in cannabis use disorder prevalence, with 8·4% of the total increase in MCL-enacting states attributable to MCL. Enacting RCL led to a 0·188% (0·160-0·217) absolute increase in cannabis use disorder prevalence, with 11·5% of the total increase in RCL-enacting states attributable to RCL. In patients without chronic pain, enacting MCL and RCL led to smaller absolute increases in cannabis use disorder prevalence (MCL: 0·037% [0·027-0·048], 5·7% attributable to MCL; RCL: 0·042% [0·023-0·060], 6·0% attributable to RCL). Overall, associations of MCL and RCL with cannabis use disorder were greater in patients with chronic pain than in patients without chronic pain. INTERPRETATION Increasing cannabis use disorder prevalence among patients with chronic pain following state legalisation is a public health concern, especially among older age groups. Given cannabis commercialisation and widespread public beliefs about its efficacy, clinical monitoring of cannabis use and discussion of the risk of cannabis use disorder among patients with chronic pain is warranted. FUNDING NIDA grant R01DA048860, New York State Psychiatric Institute, and the VA Centers of Excellence in Substance Addiction Treatment and Education.
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Affiliation(s)
- Deborah S Hasin
- Columbia University Irving Medical Center, New York, NY, USA; Columbia University Mailman School of Public Health, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA.
| | - Melanie M Wall
- Columbia University Irving Medical Center, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA
| | | | | | - Carol Malte
- Health Services Research & Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA; Center of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Mark Olfson
- Columbia University Irving Medical Center, New York, NY, USA
| | - Katherine M Keyes
- Columbia University Mailman School of Public Health, New York, NY, USA
| | | | | | - Charles C Maynard
- Health Services Research & Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA; University of Washington, Seattle, WA, USA
| | - Salomeh Keyhani
- San Francisco VA Health System, San Francisco, CA, USA; University of California at San Francisco, San Francisco, CA, USA
| | - Silvia S Martins
- Columbia University Mailman School of Public Health, New York, NY, USA
| | - David S Fink
- New York State Psychiatric Institute, New York, NY, USA
| | - Ofir Livne
- New York State Psychiatric Institute, New York, NY, USA
| | - Yoanna McDowell
- Center of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Scott Sherman
- New York University, New York, NY, USA; VA Manhattan Harbor Healthcare, New York, NY, USA
| | - Andrew J Saxon
- Health Services Research & Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA; Center of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, Seattle, WA, USA; University of Washington School of Medicine, Seattle, WA, USA
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Thiruvalluru RK, Sharma MM, Olfson M, Keyes KM, Weissman MM, Pathak J, Xiao Y. Trends in Healthcare Service Disruptions and Associations with COVID-19 Outcomes among Patients with SMI vs. Non-SMI during COVID-19. medRxiv 2023:2023.09.29.23296176. [PMID: 37873103 PMCID: PMC10593034 DOI: 10.1101/2023.09.29.23296176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Objective The study aims to quantify differential changes in outpatient mental health service utilization among 3,724,348 individuals, contrasting those with Severe Mental Illness (SMI) to those without, in the context of the COVID-19 pandemic. Design & Setting A retrospective cohort study was conducted, utilizing data from Healthix, the second-largest health information exchange in the U.S. Participants The study population included 3,134,959 Non-SMI patients (84.2%), 355,397 SMI patients (9.5%), and 149,345 Recurrent SMI Patients (4.0%). Exposures The primary exposure was the COVID-19 pandemic, with a focus on its impact on outpatient mental health services. Main Outcomes and Measures The primary outcome was the rate of utilization of outpatient mental health services. Secondary outcomes included COVID-19 infection rates and vaccination rates among the study cohorts. Results Among the non-SMI patients, there was a 30% decline in emergency visits from 650,000 pre-COVID to 455,000 post-COVID (OR=0.70, p < 0.001), and outpatient visits decreased by 50% from 1.2 million to 600,000 (OR=0.50, p = 0.002). In contrast, the SMI group witnessed a 20% reduction in outpatient visits from 120,000 to 96,000 (OR=0.80, p = 0.015) and a 40% decrease in inpatient visits from 50,000 to 30,000 (OR=0.60, p = 0.008). Recurrent SMI patients exhibited a 25% decline in emergency visits from 32,000 to 24,000 (OR=0.75, p = 0.03) and a 35% drop in outpatient visits from 40,000 to 26,000 (OR=0.65, p = 0.009).The pandemic influenced the type of disorders diagnosed. Non-SMI patients experienced a 23% rise in anxiety-related disorders (n=80,000, OR=1.23, p = 0.01) and an 18% increase in stress-related disorders (n=70,000, OR=1.18, p = 0.04). SMI patients had a 15% surge in severe anxiety disorders (n=9,000, OR=1.15, p = 0.02) and a 12% uptick in substance-related disorders (n=7,200, OR=1.12, p = 0.05). Recurrent SMI patients showed a 20% increase in anxiety and adjustment disorders (n=6,400, OR=1.20, p = 0.03).SMI patients were more adversely affected by COVID-19, with a higher infection rate of 7.8% (n=45,972) compared to 4.2% (n=131,669) in non-SMI patients (OR=1.88, p < 0.001). Hospitalization rates also followed this trend, with 5.2% (n=30,648) of SMI patients being hospitalized compared to 3.7% (n=115,995) among non-SMI patients (OR=1.41, p = 0.007). Moreover, SMI patients had lower vaccination rates of 45.6% (n=268,888) versus 58.9% (n=1,844,261) among non-SMI patients (OR=0.77, p = 0.019). Conclusions In conclusion, our findings reveal significant disparities in healthcare service utilization between individuals with Serious Mental Illness (SMI) and those without. Notably, the SMI cohort experienced greater disruptions in service continuity, with a more pronounced decline in both outpatient and inpatient visits. Furthermore, the types of disorders diagnosed among this group also saw a shift, emphasizing the need for specialized care and attention during times of crisis. The higher rates of COVID-19 infection and hospitalization among SMI patients compared to non-SMI patients underscore the urgency of targeted public health interventions for this vulnerable group. The lower vaccination rates in the SMI cohort highlight another layer of healthcare disparity that needs to be urgently addressed. These findings suggest that the pandemic has amplified pre-existing inequalities in healthcare access and outcomes for individuals with SMI, calling for immediate, evidence-based interventions to mitigate these effects and ensure equitable healthcare service provision.
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Cohen GH, Bor J, Keyes KM, Demmer RT, Stellman SD, Puac-Polanco V, Galea S. What was the impact of tobacco taxes on smoking prevalence and coronary heart disease mortality in the United States -2005-2016, and did it vary by race and gender? Prev Med 2023; 175:107653. [PMID: 37532031 DOI: 10.1016/j.ypmed.2023.107653] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 07/10/2023] [Accepted: 07/29/2023] [Indexed: 08/04/2023]
Abstract
Tobacco taxes have reduced smoking and coronary heart disease (CHD) mortality, yet few studies have examined heterogeneity of these associations by race and gender. We constructed a yearly panel (2005-2016) that included age-adjusted cigarette smoking prevalence and CHD mortality rates across all 50 U.S. States and the District of Columbia using the Behavioral Risk Factor Surveillance System and Wide-ranging Online Data for Epidemiological Research. We examined associations between changes in total cigarette excise taxes (i.e., federal and state) and changes in smoking prevalence and CHD mortality, using linear regression models with state and year fixed effects. Each dollar of tobacco tax was associated with a reduction in age-adjusted smoking prevalence 1 year later of -0.4 [95% CIs: -0.6, -0.2] percentage points; and a relative reduction in the rate of CHD mortality 2 years later of -2.0% [95% CIs: -3.7%, -0.3%], or -5 deaths/100,000 in absolute terms. Associations between tobacco taxes and smoking prevalence were statistically significantly different by race and gender and were strongest among Black non-Hispanic women (-1.2 [95% CIs: -1.6, -0.8] percentage points). Associations between tobacco taxes and CHD mortality were not statistically significantly different by race and gender, but point estimates for percent changes were highest among Black non-Hispanic men (-2.9%) and Black non-Hispanic women (-3.5%) compared to White non-Hispanic men (-1.8%) and White non-Hispanic women (-1.5%). These findings suggest that tobacco taxation is an effective intervention for reducing smoking prevalence and CHD mortality among White and Black non-Hispanic populations in the United States.
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Affiliation(s)
- Gregory H Cohen
- Boston University School of Public Health, Department of Epidemiology, 715 Albany St., Boston, MA 02118, United States of America.
| | - Jacob Bor
- Boston University School of Public Health, Department of Global Health, 715 Albany St., Boston, MA 02118, United States of America
| | - Katherine M Keyes
- Columbia University, Mailman School of Public Health, Department of Epidemiology, 722 West 168th St., New York, NY 10032, United States of America
| | - Ryan T Demmer
- University of Minnesota School of Public Health, Division of Epidemiology and Community Health, 300 West Bank Office Building, 1300 S. 2nd St., Minneapolis, MN 55454, United States of America
| | - Steven D Stellman
- Columbia University, Mailman School of Public Health, Department of Epidemiology, 722 West 168th St., New York, NY 10032, United States of America
| | - Victor Puac-Polanco
- Harvard Medical School, Department of Health Care Policy, 180 Longwood Avenue, Boston, MA 02115, United States of America
| | - Sandro Galea
- Boston University School of Public Health, Office of the Dean, 715 Albany St., Boston, MA 02118, United States of America
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Adams RS, McKetta SC, Jager J, Stewart MT, Keyes KM. Cohort effects of women's mid-life binge drinking and alcohol use disorder symptoms in the United States: Impacts of changes in timing of parenthood. Addiction 2023; 118:1932-1941. [PMID: 37338343 PMCID: PMC10527386 DOI: 10.1111/add.16262] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 05/02/2023] [Indexed: 06/21/2023]
Abstract
BACKGROUND AND AIMS Alcohol use is increasing among women in mid-life concurrently with societal changes in timing of parenthood and changing cultural norms, which may influence alcohol use. The aim of this study was to determine if age of first parenting was associated with excessive drinking [i.e. past 2-week binge drinking and past 5-year alcohol use disorder (AUD) symptoms] among women during mid-life in the United States and to determine if there were pronounced cohort effects influencing these relationships. DESIGN This was a retrospective cohort, longitudinal study. SETTING, PARTICIPANTS AND MEASUREMENTS Data were drawn from the Monitoring the Future survey, an annual ongoing survey of high school students' substance use behaviors in the United States. Participants were women who completed the age 35 survey between 1993 and 2019, corresponding to high school senior years 1976-2002 (n = 9988). Past 2-week binge drinking and past 5-year AUD symptoms were self-reported. Age of first parenting was self-reported. FINDINGS Binge drinking and AUD symptoms were higher among women in recent than in older cohorts. Women from the 2018-19 cohort had increased odds of binge drinking [odds ratio (OR) = 1.73, 95% confidence interval (CI) = 1.41-2.12] and AUD symptoms (OR = 1.51, CI = 1.27-1.80) relative to women from the 1993-97 cohort. Throughout cohorts, there was an inverse association between transition to parenthood and excessive drinking outcomes (e.g. range for ORs for binge drinking among those without children compared with those who had had children between the ages of 18 and 24: 1.22-1.55). Simultaneously, there was a population shift towards delaying parenting in recent cohorts (i.e. 54% of women in the 1993-97 cohort had children before age 30 compared with 39% in the two recent cohorts), increasing the size of the group at highest risk for excessive drinking. CONCLUSIONS In the United States, subgroups of women at highest risk of excessive drinking appear to be expanding, probably supported in part by a trend towards delayed parenting.
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Affiliation(s)
- Rachel Sayko Adams
- Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA, USA
- Institute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, Waltham, MA, USA
- Rocky Mountain Mental Illness Research Education and Clinical Center, Veterans Health Administration, Aurora, CO, USA
| | - Sarah C McKetta
- Department of Population Medicine, Harvard Medical School, Boston, MA, USA
| | - Justin Jager
- T. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe, AZ, USA
| | - Maureen T Stewart
- Institute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, Waltham, MA, USA
| | - Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
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Mannes ZL, Malte CA, Olfson M, Wall MM, Keyes KM, Martins SS, Cerdá M, Gradus JL, Saxon AJ, Keyhani S, Maynard C, Livne O, Fink DS, Gutkind S, Hasin DS. Increasing risk of cannabis use disorder among U.S. veterans with chronic pain: 2005-2019. Pain 2023; 164:2093-2103. [PMID: 37159542 PMCID: PMC10524371 DOI: 10.1097/j.pain.0000000000002920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 03/19/2023] [Indexed: 05/11/2023]
Abstract
ABSTRACT In the United States, cannabis is increasingly used to manage chronic pain. Veterans Health Administration (VHA) patients are disproportionately affected by pain and may use cannabis for symptom management. Because cannabis use increases the risk of cannabis use disorders (CUDs), we examined time trends in CUD among VHA patients with and without chronic pain, and whether these trends differed by age. From VHA electronic health records from 2005 to 2019 (∼4.3-5.6 million patients yearly), we extracted diagnoses of CUD and chronic pain conditions ( International Classification of Diseases [ ICD ]- 9-CM , 2005-2014; ICD-10-CM , 2016-2019). Differential trends in CUD prevalence overall and age-stratified (<35, 35-64, or ≥65) were assessed by any chronic pain and number of pain conditions (0, 1, or ≥2). From 2005 to 2014, the prevalence of CUD among patients with any chronic pain increased significantly more (1.11%-2.56%) than those without pain (0.70%-1.26%). Cannabis use disorder prevalence increased significantly more among patients with chronic pain across all age groups and was highest among those with ≥2 pain conditions. From 2016 to 2019, CUD prevalence among patients age ≥65 with chronic pain increased significantly more (0.63%-1.01%) than those without chronic pain (0.28%-0.47%) and was highest among those with ≥2 pain conditions. Over time, CUD prevalence has increased more among VHA patients with chronic pain than other VHA patients, with the highest increase among those age ≥65. Clinicians should monitor symptoms of CUD among VHA patients and others with chronic pain who use cannabis, and consider noncannabis therapies, particularly because the effectiveness of cannabis for chronic pain management remains inconclusive.
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Affiliation(s)
- Zachary L. Mannes
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Carol A. Malte
- Health Services Research & Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, USA
- Center of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, Seattle, WA
| | - Mark Olfson
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Melanie M. Wall
- New York State Psychiatric Institute, New York, NY, USA
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Katherine M. Keyes
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Silvia S. Martins
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Magdalena Cerdá
- Department of Population Health, Center for Opioid Epidemiology and Policy, New York University Langone Health, New York, NY, USA
| | - Jaimie L. Gradus
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Andrew J. Saxon
- Health Services Research & Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, USA
- Center of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, Seattle, WA
- Department of Psychiatry & Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Salomeh Keyhani
- San Francisco VA Medical Center, San Francisco, CA, USA
- Department of General Internal Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Charles Maynard
- Department of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle, WA
| | - Ofir Livne
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - David S. Fink
- New York State Psychiatric Institute, New York, NY, USA
| | - Sarah Gutkind
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Deborah S. Hasin
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
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Lu W, Keyes KM. Major depression with co-occurring suicidal thoughts, plans, and attempts: An increasing mental health crisis in US adolescents, 2011-2020. Psychiatry Res 2023; 327:115352. [PMID: 37506585 DOI: 10.1016/j.psychres.2023.115352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 07/11/2023] [Accepted: 07/16/2023] [Indexed: 07/30/2023]
Abstract
This study aimed to examine national trends and disparities in the prevalence and treatment of adolescent 12-month major depressive episode (MDE) with co-occurring suicidal thoughts, plans, and attempts. Publicly available data for adolescents aged 12-17 in the 2011-2020 National Survey on Drug Use and Health were analyzed. Bivariate and multivariable logistic regression analyses were conducted. In 2011, 4.6%, 2.1%, and 1.7% of adolescents had 12-month MDE with co-occurring suicidal thoughts, plans, and attempts, and the prevalence increased steadily to 9.8%, 5.3%, and 3.5% in 2019, respectively. In 2011, 45% of adolescents with MDE and suicidal thoughts received any mental health treatment, and the prevalence increased slightly to 46.6% in 2019. Meanwhile, the prevalence of treatment use among adolescents with MDE and suicidal plans remained stable at below 54%. Lastly, the prevalence of treatment use increased significantly from 53.6% in 2011 to 60.8% in 2019 among those with MDE and suicidal attempts. Continued high prevalence and low treatment use were observed in 2020. Disparities in treatment use were found in older adolescents, adolescents without insurance, Hispanics, and Asians. Concerted efforts are needed to prioritize evidence-based interventions, enhance outreach to high-risk groups, and expand service provisions to underserved adolescents.
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Affiliation(s)
- Wenhua Lu
- Department of Community Health and Social Medicine, School of Medicine, The City University of New York, New York, United States.
| | - Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States
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Keyes KM, Kristensen P, Undem K, Mehlum IS. Relative Age Within School Grade, Including Delayed and Accelerated School Start: Associations With Midlife Psychiatric Disorders, Suicide, and Alcohol- and Drug-Related Mortality. Am J Epidemiol 2023; 192:1453-1462. [PMID: 37147181 DOI: 10.1093/aje/kwad111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 04/03/2023] [Accepted: 05/01/2023] [Indexed: 05/07/2023] Open
Abstract
Within a school grade, children who are young for grade are at increased risk of psychiatric diagnoses, but the long-term implications remain understudied, and associations with students who delay or accelerate entry underexplored. We used Norwegian birth cohort records (birth years: 1967-1976, n = 626,928) linked to records in midlife. On-time school entry was socially patterned; among those born in December, 23.0% of children in the lowest socioeconomic position (SEP) delayed school entry, compared with 12.2% among the highest SEP. Among those who started school on time, there was no evidence for long-term associations between birth month and psychiatric/behavioral disorders or mortality. Controlling for SEP and other confounders, delayed school entry was associated with increased risk of psychiatric disorders and mortality. Children with delayed school entry were 1.31 times more likely to die by suicide (95% confidence interval: 1.07, 1.61) by midlife, and 1.96 times more likely to die from drug-related death (95% confidence interval: 1.59, 2.40) by midlife than those born late in the year who started school on time. Associations with delayed school entry are likely due to selection, and results thus underscore that long-term health risks can be tracked early in life, including through school entry timing, and are highly socially patterned.
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Ananth CV, Rutherford C, Rosenfeld EB, Brandt JS, Graham H, Kostis WJ, Keyes KM. Epidemiologic trends and risk factors associated with the decline in mortality from coronary heart disease in the United States, 1990-2019. Am Heart J 2023; 263:46-55. [PMID: 37178994 DOI: 10.1016/j.ahj.2023.05.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 05/06/2023] [Accepted: 05/08/2023] [Indexed: 05/15/2023]
Abstract
BACKGROUND Despite the decline in the rate of coronary heart disease (CHD) mortality, it is unknown how the 3 strong and modifiable risk factors - alcohol, smoking, and obesity -have impacted these trends. We examine changes in CHD mortality rates in the United States and estimate the preventable fraction of CHD deaths by eliminating CHD risk factors. METHODS We performed a sequential time-series analysis to examine mortality trends among females and males aged 25 to 84 years in the United States, 1990-2019, with CHD recorded as the underlying cause of death. We also examined mortality rates from chronic ischemic heart disease (IHD), acute myocardial infarction (AMI), and atherosclerotic heart disease (AHD). All underlying causes of CHD deaths were classified based on the International Classification of Disease 9th and 10th revisions. We estimated the preventable fraction of CHD deaths attributable to alcohol, smoking, and high body-mass index (BMI) through the Global Burden of Disease. RESULTS Among females (3,452,043 CHD deaths; mean [standard deviation, SD] age 49.3 [15.7] years), the age-standardized CHD mortality rate declined from 210.5 in 1990 to 66.8 per 100,000 in 2019 (annual change -4.04%, 95% CI -4.05, -4.03; incidence rate ratio [IRR] 0.32, 95% CI, 0.41, 0.43). Among males (5,572,629 CHD deaths; mean [SD] age 47.9 [15.1] years), the age-standardized CHD mortality rate declined from 442.4 to 156.7 per 100,000 (annual change -3.74%, 95% CI, -3.75, -3.74; IRR 0.36, 95% CI, 0.35, 0.37). A slowing of the decline in CHD mortality rates among younger cohorts was evident. Correction for unmeasured confounders through a quantitative bias analysis slightly attenuated the decline. Half of all CHD deaths could have been prevented with the elimination of smoking, alcohol, and obesity, including 1,726,022 female and 2,897,767 male CHD deaths between 1990 and 2019. CONCLUSIONS The decline in CHD mortality is slowing among younger cohorts. The complex dynamics of risk factors appear to shape mortality rates, underscoring the importance of targeted strategies to reduce modifiable risk factors that contribute to CHD mortality.
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Affiliation(s)
- Cande V Ananth
- Division of Epidemiology and Biostatistics, Department of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ; Cardiovascular Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ; Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ; Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ.
| | - Caroline Rutherford
- Department of Epidemiology, Joseph L. Mailman School of Public Health, Columbia University, New York, NY
| | - Emily B Rosenfeld
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Justin S Brandt
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Hillary Graham
- Division of Epidemiology and Biostatistics, Department of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ; Clinical Epidemiology Division, Faculty of Medicine at Solna, Karolinska Institute, Stockholm, Sweden
| | - William J Kostis
- Cardiovascular Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ; Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Katherine M Keyes
- Department of Epidemiology, Joseph L. Mailman School of Public Health, Columbia University, New York, NY
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Abstract
OBJECTIVE Utilization of the 988 Suicide and Crisis Lifeline (Lifeline; formerly called the National Suicide Prevention Lifeline) was analyzed in relation to suicide deaths in U.S. states between 2007 and 2020 to identify states with potential unmet need for mental health crisis hotline services. METHODS Annual state call rates were calculated from calls routed to the Lifeline during the 2007-2020 period (N=13.6 million). Annual state suicide mortality rates (standardized) were calculated from suicide deaths reported to the National Vital Statistics System (2007-2020 cumulative deaths=588,122). Call rate ratio (CRR) and mortality rate ratio (MRR) were estimated by state and year. RESULTS Sixteen U.S. states demonstrated a consistently high MRR and a low CRR, suggesting high suicide burden and relatively low Lifeline use. Heterogeneity in state CRRs decreased over time. CONCLUSIONS Prioritizing states with a high MRR and a low CRR for messaging and outreach regarding the availability of the Lifeline can ensure more equitable, need-based access to this critical resource.
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Affiliation(s)
- Sasikiran Kandula
- Department of Environmental Health Sciences (Kandula, Shaman), Department of Epidemiology (Gould, Olfson, Keyes), and Department of Psychiatry (Gould, Olfson), Columbia University, New York City; 988 Suicide and Crisis Lifeline, Vibrant Emotional Health, New York City (Higgins, Goldstein)
| | - Johnathan Higgins
- Department of Environmental Health Sciences (Kandula, Shaman), Department of Epidemiology (Gould, Olfson, Keyes), and Department of Psychiatry (Gould, Olfson), Columbia University, New York City; 988 Suicide and Crisis Lifeline, Vibrant Emotional Health, New York City (Higgins, Goldstein)
| | - Alena Goldstein
- Department of Environmental Health Sciences (Kandula, Shaman), Department of Epidemiology (Gould, Olfson, Keyes), and Department of Psychiatry (Gould, Olfson), Columbia University, New York City; 988 Suicide and Crisis Lifeline, Vibrant Emotional Health, New York City (Higgins, Goldstein)
| | - Madelyn S Gould
- Department of Environmental Health Sciences (Kandula, Shaman), Department of Epidemiology (Gould, Olfson, Keyes), and Department of Psychiatry (Gould, Olfson), Columbia University, New York City; 988 Suicide and Crisis Lifeline, Vibrant Emotional Health, New York City (Higgins, Goldstein)
| | - Mark Olfson
- Department of Environmental Health Sciences (Kandula, Shaman), Department of Epidemiology (Gould, Olfson, Keyes), and Department of Psychiatry (Gould, Olfson), Columbia University, New York City; 988 Suicide and Crisis Lifeline, Vibrant Emotional Health, New York City (Higgins, Goldstein)
| | - Katherine M Keyes
- Department of Environmental Health Sciences (Kandula, Shaman), Department of Epidemiology (Gould, Olfson, Keyes), and Department of Psychiatry (Gould, Olfson), Columbia University, New York City; 988 Suicide and Crisis Lifeline, Vibrant Emotional Health, New York City (Higgins, Goldstein)
| | - Jeffrey Shaman
- Department of Environmental Health Sciences (Kandula, Shaman), Department of Epidemiology (Gould, Olfson, Keyes), and Department of Psychiatry (Gould, Olfson), Columbia University, New York City; 988 Suicide and Crisis Lifeline, Vibrant Emotional Health, New York City (Higgins, Goldstein)
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Joseph VA, Kreski NT, Keyes KM. Sleep deprivation and suicide risk among minoritized US adolescents. BMC Psychiatry 2023; 23:638. [PMID: 37653474 PMCID: PMC10472686 DOI: 10.1186/s12888-023-05074-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 08/02/2023] [Indexed: 09/02/2023] Open
Abstract
OBJECTIVES To assess (1) the prevalence of suicide ideation/behavior among adolescents with short sleep by race/ethnicity and (2) the association between sleep duration and suicidal ideation and behavior among American youth by race/ethnicity from 2007 to 2019. METHODS Data were drawn from the Youth Risk Behavior Surveillance System (YRBSS). Logistic regression analyses were used to assess the relationship between sleep duration and suicidal ideation/behavior. RESULTS Overall, suicide ideation/behavior increased among U.S. adolescents of all racial groups from 2007 to 2019. Adjusting for race/ethnicity, sexual identity, age, sex, substance use, trauma, and bullying, those with short sleep had approximately twice the odds [OR: 1.92 (95% CI: 1.65, 2.23)] of suicide ideation/consideration compared to those with long sleep. Stratified analyses indicated that Black students with short sleep had higher odds of making a suicide plan (OR = 1.51, 95% C.I.: 1.27, 1.79) compared with Black students with long sleep. A similar pattern was observed across other racial/ethnic groups (e.g., Hispanic: (OR = 1.74, 95% C.I.: 1.53, 1.97). CONCLUSION Emphasis on suicide interventions is of the essence, especially with increasing rates. Sleep duration significantly predicts suicide risk among all adolescents. Additional research is needed to assess factors that predict suicide among minoritized adolescents, specifically Black and Hispanic adolescents.
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Affiliation(s)
- Victoria A Joseph
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY, 10032, USA.
| | - Noah T Kreski
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY, 10032, USA
| | - Katherine M Keyes
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY, 10032, USA
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Palamar JJ, Rutherford C, Le A, Keyes KM. Seasonal Variation of Use of Common Psychedelics and Party Drugs Among Nightclub/Festival Attendees in New York City. J Psychoactive Drugs 2023:1-8. [PMID: 37605471 PMCID: PMC10879452 DOI: 10.1080/02791072.2023.2240322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 06/29/2023] [Indexed: 08/23/2023]
Abstract
Few epidemiological studies have focused on seasonal variation in the use of common psychedelics and party drugs among nightclub and festival attendees, typically those who attend electronic dance music (EDM) events. We sought to determine whether the use of different drug types varies seasonally within this population. Across 15 seasons from summer 2017 through fall 2022, we surveyed 3,935 adults entering randomly selected nightclubs and festivals in New York City regarding their past-month use of cocaine, MDMA (3,4-methylenedioxymethamphetamine, commonly known as ecstasy), lysergic acid diethylamide (LSD), psilocybin (shrooms), and ketamine. Multivariable models were used to compare adjusted odds ratios for drug use within each season with the grand mean of combined seasons. Summer was associated with higher odds for use of LSD (aOR 2.72; 95% CI, 1.88-3.93) and psilocybin (aOR 1.65; CI, 1.12-2.43), independent of increases in psilocybin use over time (p < .001). A significant increase in use of ketamine (p = .014) and significant decreases in use of cocaine (p = .002) and ecstasy (p = .002) were found across time, but multivariable models did not detect seasonal variations. Summer is a risk factor for use of common psychedelics among people who attend EDM events. Therefore, the summer months may be the best time to disseminate information about harm reduction for psychedelic drug users.
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Affiliation(s)
- Joseph J. Palamar
- New York University Grossman School of Medicine, Department of Population Health, 180 Madison Avenue, New York, NY
| | - Caroline Rutherford
- Columbia University, Department of Epidemiology, Mailman School of Public Health, New York, NY
| | - Austin Le
- New York University Grossman School of Medicine, Department of Population Health, 180 Madison Avenue, New York, NY
- New York University College of Dentistry, New York, NY
| | - Katherine M. Keyes
- Columbia University, Department of Epidemiology, Mailman School of Public Health, New York, NY
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Bordelois P, Koenen KC, Elkind MSV, Suglia SF, Keyes KM. Childhood internalizing and externalizing problems and cardiovascular and diabetes mellitus risk in adolescence. J Affect Disord 2023; 335:239-247. [PMID: 37149053 PMCID: PMC10809325 DOI: 10.1016/j.jad.2023.04.084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 03/22/2023] [Accepted: 04/18/2023] [Indexed: 05/08/2023]
Abstract
BACKGROUND Among adults, common psychopathology is a risk factor for cardiovascular diseases (CVD) and type 2 diabetes mellitus (T2DM). We investigated whether childhood internalizing and externalizing problems are prospectively associated with clinically elevated CVD and T2DM risk factors in adolescence. METHODS Data were from the Avon Longitudinal Study of Parents and Children. Childhood internalizing (emotional) and externalizing (hyperactivity and conduct) problems were rated on the Strengths and Difficulties Questionnaire (parent version) (N = 6442). BMI was measured at age 15 and triglycerides, low-density lipoprotein cholesterol and homeostasis model assessment of insulin resistance, IR, were assessed at age 17. We estimated associations using multivariate log-linear regression. Models were adjusted for confounding and participants attrition. RESULTS Children with hyperactivity or conduct problems were more likely to become obese and to develop clinically high levels of triglycerides and HOMA-IR in adolescence. In fully adjusted models, IR was associated with hyperactivity (relative risk, RR = 1.35, 95 % confidence interval, CI = 1.00-1.81) and conduct problems (RR = 1.37, CI = 1.06-1.78). High triglycerides were associated with hyperactivity (RR = 2.05, CI = 1.41-2.98) and with conduct problems (RR = 1.85, CI = 1.32-2.59). BMI only minimally explained these associations. Emotional problems were not associated with increased risk. LIMITATIONS Residual attrition bias, reliance on parent's reports of children's behaviors, non-diverse sample. CONCLUSIONS This research suggests that childhood externalizing problems might be a novel independent risk factor for CVD/T2DM. Future research should corroborate these findings and investigate mechanisms. Pediatricians may need to assess and treat CVD/T2DM risk factors in adolescents with a history of externalizing problems.
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Affiliation(s)
- Paula Bordelois
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
| | - Karestan C Koenen
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States of America
| | - Mitchell S V Elkind
- Division of Neurology Clinical Outcomes Research and Population Sciences (NeuroCORPS), Columbia University, New York, NY, United States of America
| | - Shakira F Suglia
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, United States of America
| | - Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America
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Keyes KM, Joseph V, Kaur N, Kreski NT, Chen Q, Martins SS, Hasin D, Olfson M, Mauro PM. Adolescent simultaneous use of alcohol and marijuana by trends in cigarette and nicotine vaping from 2000 to 2020. Drug Alcohol Depend 2023; 249:109948. [PMID: 37270934 PMCID: PMC10348405 DOI: 10.1016/j.drugalcdep.2023.109948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/25/2023] [Accepted: 05/24/2023] [Indexed: 06/06/2023]
Abstract
BACKGROUND Simultaneous alcohol and marijuana (SAM) use is associated with adverse consequences for youth. While SAM use is overall declining among youth, prior studies indicate increasing marijuana use among US adolescents who ever used cigarettes, suggesting possible moderation of the alcohol-marijuana relationship by cigarette use. METHODS We included 43,845 12-th grade students participating in Monitoring the Future data (2000-2020). A 5-level alcohol/marijuana measure was used, including past-year SAM, alcohol-only, marijuana-only, non-simultaneous alcohol and marijuana, or no use. Multinomial logistic regressions estimated associations between time periods (categorized based on sample size: 2000-2005, 2006-2009, 2010-2014, 2015-2020) and the 5-level alcohol/marijuana measure. Models adjusted for sex, race, parental education and survey mode and included interactions of time periods and lifetime cigarette or vaped nicotine use. RESULTS While overall SAM among 12th graders decreased from 23.65% to 18.31% between 2000 and 2020, SAM increased among students who never used cigarettes or vaped nicotine (from 5.42% to 7.03%). Among students who ever used cigarettes or vaped nicotine, SAM increased from 39.2% in 2000-2005-44.1% in 2010-2014 then declined to 37.8% in 2015-2020. Adjusted models controlling for demographics indicated that among students with no lifetime cigarette or vaped nicotine use, students in 2015-2020 had 1.40 (95% C.I. 1.15-1.71) times the odds of SAM, and 5.43 (95% C.I. 3.63-8.12) times the odds of marijuana-only (i.e., no alcohol use) compared to students who used neither in 2000-2005. Alcohol-only declined over time in both students who ever and never used cigarettes or nicotine vape products. CONCLUSION Paradoxically, while SAM declined in the overall adolescent US population, the prevalence of SAM increased among students who have never smoked cigarettes or vaped nicotine. This effect arises because of a substantial decline in the prevalence of cigarette smoking; smoking is a risk factor for SAM, and fewer students smoke. Increases in vaping are offsetting these changes, however. Preventing adolescent use of cigarettes and nicotine vaped products could have extended benefits for other substance use, including SAM.
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Affiliation(s)
- Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
| | - Victoria Joseph
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Navdep Kaur
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Noah T Kreski
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Qixuan Chen
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Silvia S Martins
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Deborah Hasin
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA; New York State Psychiatric Institute, College of Physicians and Surgeons of Columbia University, New York, USA
| | - Mark Olfson
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA; New York State Psychiatric Institute, College of Physicians and Surgeons of Columbia University, New York, USA
| | - Pia M Mauro
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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Jager J, Keyes KM, Son D, Patrick ME, Platt J, Schulenberg JE. Age 18-30 trajectories of binge drinking frequency and prevalence across the past 30 years for men and women: Delineating when and why historical trends reversed across age. Dev Psychopathol 2023; 35:1308-1322. [PMID: 35068407 PMCID: PMC9308836 DOI: 10.1017/s0954579421001218] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Historical analyses based on US data indicate that recent cohorts engage in lower binge drinking at age 18 relative to past cohorts, but by the mid- to late-20s the reverse is true: recent cohorts engage in higher binge drinking relative to past cohorts. We pinpoint when - both developmentally and historically - this reversal manifested, examine possible reasons for this reversal, and examine sex convergence in these developmental and historical patterns. As part of the US national Monitoring the Future Study, over 75,000 youths from the high school classes of 1976-2006 were surveyed biennially between ages 18 and 30. We found that the reversal primarily manifested between ages 18 and 24 for men and 18 and 22 for women. We also found that the reversal emerged gradually across the last three decades, suggesting it is the result of a broad and durable historical shift. Our findings indicated that historical variation in social roles and minimum legal drinking age collectively accounted for only a modest amount of the reversal, although marriage was the most influential among the factors examined here. Finally, we found evidence that sex convergence in binge drinking was developmentally limited and far more pronounced at the beginning of the transition to adulthood.
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Affiliation(s)
- Justin Jager
- T. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe, AZ, USA
| | - Katherine M. Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Daye Son
- T. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe, AZ, USA
| | - Megan E. Patrick
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Jonathan Platt
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - John E. Schulenberg
- Institute for Social Research, Department of Psychology, University of Michigan, Ann Arbor, MI, USA
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41
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Hasin DS, Wall MM, Alschuler D, Mannes ZL, Malte C, Olfson M, Keyes KM, Gradus JL, Cerdá M, Maynard CC, Keyhani S, Martins SS, Fink DS, Livne O, McDowell Y, Sherman S, Saxon AJ. Chronic Pain, Cannabis Legalization and Cannabis Use Disorder in Veterans Health Administration Patients, 2005 to 2019. medRxiv 2023:2023.07.10.23292453. [PMID: 37503049 PMCID: PMC10370240 DOI: 10.1101/2023.07.10.23292453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Background The risk for cannabis use disorder (CUD) is elevated among U.S. adults with chronic pain, and CUD rates are disproportionately increasing in this group. Little is known about the role of medical cannabis laws (MCL) and recreational cannabis laws (RCL) in these increases. Among U.S. Veterans Health Administration (VHA) patients, we examined whether MCL and RCL effects on CUD prevalence differed between patients with and without chronic pain. Methods Patients with ≥1 primary care, emergency, or mental health visit to the VHA and no hospice/palliative care within a given calendar year, 2005-2019 (yearly n=3,234,382 to 4,579,994) were analyzed using VHA electronic health record (EHR) data. To estimate the role of MCL and RCL enactment in the increases in prevalence of diagnosed CUD and whether this differed between patients with and without chronic pain, staggered-adoption difference-in-difference analyses were used, fitting a linear binomial regression model with fixed effects for state, categorical year, time-varying cannabis law status, state-level sociodemographic covariates, a chronic pain indicator, and patient covariates (age group [18-34, 35-64; 65-75], sex, and race and ethnicity). Pain was categorized using an American Pain Society taxonomy of painful medical conditions. Outcomes In patients with chronic pain, enacting MCL led to a 0·14% (95% CI=0·12%-0·15%) absolute increase in CUD prevalence, with 8·4% of the total increase in CUD prevalence in MCL-enacting states attributable to MCL. Enacting RCL led to a 0·19% (95%CI: 0·16%, 0·22%) absolute increase in CUD prevalence, with 11·5% of the total increase in CUD prevalence in RCL-enacting states attributable to RCL. In patients without chronic pain, enacting MCL and RCL led to smaller absolute increases in CUD prevalence (MCL: 0·037% [95%CI: 0·03, 0·05]; RCL: 0·042% [95%CI: 0·02, 0·06]), with 5·7% and 6·0% of the increases in CUD prevalence attributable to MCL and RCL. Overall, MCL and RCL effects were significantly greater in patients with than without chronic pain. By age, MCL and RCL effects were negligible in patients age 18-34 with and without pain. In patients age 35-64 with and without pain, MCL and RCL effects were significant (p<0.001) but small. In patients age 65-75 with pain, absolute increases were 0·10% in MCL-only states and 0·22% in MCL/RCL states, with 9·3% of the increase in CUD prevalence in MCL-only states attributable to MCL, and 19.4% of the increase in RCL states attributable to RCL. In patients age 35-64 and 65-75, MCL and RCL effects were significantly greater in patients with pain. Interpretation In patients age 35-75, the role of MCL and RCL in the increasing prevalence of CUD was greater in patients with chronic pain than in those without chronic pain, with particularly pronounced effects in patients with chronic pain age 65-75. Although the VHA offers extensive behavioral and non-opioid pharmaceutical treatments for pain, cannabis may seem a more appealing option given media enthusiasm about cannabis, cannabis commercialization activities, and widespread public beliefs about cannabis efficacy. Cannabis does not have the risk/mortality profile of opioids, but CUD is a clinical condition with considerable impairment and comorbidity. Because cannabis legalization in the U.S. is likely to further increase, increasing CUD prevalence among patients with chronic pain following state legalization is a public health concern. The risk of chronic pain increases as individuals age, and the average age of VHA patients and the U.S. general population is increasing. Therefore, clinical monitoring of cannabis use and discussion of the risk of CUD among patients with chronic pain is warranted, especially among older patients. Research in Context Evidence before this study: Only three studies have examined the role of state medical cannabis laws (MCL) and/or recreational cannabis laws (RCL) in the increasing prevalence of cannabis use disorder (CUD) in U.S. adults, finding significant MCL and RCL effects but with modest effect sizes. Effects of MCL and RCL may vary across important subgroups of the population, including individuals with chronic pain. PubMed was searched by DH for publications on U.S. time trends in cannabis legalization, cannabis use disorders (CUD) and pain from database inception until March 15, 2023, without language restrictions. The following search terms were used: (medical cannabis laws) AND (pain) AND (cannabis use disorder); (recreational cannabis laws) AND (pain) AND (cannabis use disorder); (cannabis laws) AND (pain) AND (cannabis use disorder). Only one study was found that had CUD as an outcome, and this study used cross-sectional data from a single year, which cannot be used to determine trends over time. Therefore, evidence has been lacking on whether the role of state medical and recreational cannabis legalization in the increasing US adult prevalence of CUD differed by chronic pain status.Added value of this study: To our knowledge, this is the first study to examine whether the effects of state MCL and RCL on the nationally increasing U.S. rates of adult cannabis use disorder differ by whether individuals experience chronic pain or not. Using electronic medical record data from patients in the Veterans Health Administration (VHA) that included extensive information on medical conditions associated with chronic pain, the study showed that the effects of MCL and RCL on the prevalence of CUD were stronger among individuals with chronic pain age 35-64 and 65-75, an effect that was particularly pronounced in older patients ages 65-75.Implications of all the available evidence: MCL and RCL are likely to influence the prevalence of CUD through commercialization that increases availability and portrays cannabis use as 'normal' and safe, thereby decreasing perception of cannabis risk. In patients with pain, the overall U.S. decline in prescribed opioids may also have contributed to MCL and RCL effects, leading to substitution of cannabis use that expanded the pool of individuals vulnerable to CUD. The VHA offers extensive non-opioid pain programs. However, positive media reports on cannabis, positive online "information" that can sometimes be misleading, and increasing popular beliefs that cannabis is a useful prevention and treatment agent may make cannabis seem preferable to the evidence-based treatments that the VHA offers, and also as an easily accessible option among those not connected to a healthcare system, who may face more barriers than VHA patients in accessing non-opioid pain management. When developing cannabis legislation, unintended consequences should be considered, including increased risk of CUD in large vulnerable subgroups of the population.
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Affiliation(s)
- Deborah S Hasin
- Columbia University Irving Medical Center, 630 West 168th Street, New York, NY 10032, USA
- Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY 10032, USA
- New York State Psychiatric Institute, 1051 Riverside Dr, New York, NY 10032, USA
| | - Melanie M Wall
- Columbia University Irving Medical Center, 630 West 168th Street, New York, NY 10032, USA
- New York State Psychiatric Institute, 1051 Riverside Dr, New York, NY 10032, USA
| | - Dan Alschuler
- New York State Psychiatric Institute, 1051 Riverside Dr, New York, NY 10032, USA
| | - Zachary L Mannes
- New York State Psychiatric Institute, 1051 Riverside Dr, New York, NY 10032, USA
| | - Carol Malte
- Health Services Research & Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, 1660 S Columbian Way, Seattle, WA 98108, USA
- Center of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, 1660 S Columbian Way, Seattle, WA 98108, USA
| | - Mark Olfson
- Columbia University Irving Medical Center, 630 West 168th Street, New York, NY 10032, USA
| | - Katherine M Keyes
- Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY 10032, USA
| | - Jaimie L Gradus
- Boston University School of Public Health, 715 Albany St, Boston, MA 02118, USA
| | - Magdalena Cerdá
- New York University, 50 West 4th Street, New York, NY 10012, USA
| | - Charles C Maynard
- Health Services Research & Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, 1660 S Columbian Way, Seattle, WA 98108, USA
- University of Washington, 1400 Ne Campus Parkway, Seattle, WA 98195, USA
| | - Salomeh Keyhani
- San Francisco VA Health System, 4150 Clement St, San Francisco, CA 94121, USA
- University of California at San Francisco, 505 Parnassus Ave, San Francisco, CA 94143, USA
| | - Silvia S Martins
- Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY 10032, USA
| | - David S Fink
- New York State Psychiatric Institute, 1051 Riverside Dr, New York, NY 10032, USA
| | - Ofir Livne
- New York State Psychiatric Institute, 1051 Riverside Dr, New York, NY 10032, USA
| | - Yoanna McDowell
- Center of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, 1660 S Columbian Way, Seattle, WA 98108, USA
| | - Scott Sherman
- New York University, 50 West 4th Street, New York, NY 10012, USA
- VA Manhattan Harbor Healthcare, 423 E 23rd St, New York, NY 10010, USA
| | - Andrew J Saxon
- Health Services Research & Development (HSR&D) Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, 1660 S Columbian Way, Seattle, WA 98108, USA
- Center of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, 1660 S Columbian Way, Seattle, WA 98108, USA
- University of Washington School of Medicine, 1959 NE Pacific St, Seattle, WA 98195, USA
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42
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Askari MS, Belsky DW, Olfson M, Breslau J, Mojtabai R, Kajeepeta S, Bruzelius E, Keyes KM. An integrative literature review of birth cohort and time period trends in adolescent depression in the United States. Soc Psychiatry Psychiatr Epidemiol 2023:10.1007/s00127-023-02527-8. [PMID: 37428192 DOI: 10.1007/s00127-023-02527-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 06/27/2023] [Indexed: 07/11/2023]
Abstract
PURPOSE The aim of this literature review is to examine evidence of time trends and birth cohort effects in depressive disorders and symptoms among US adolescents in peer-reviewed articles from January 2004 to April 2022. METHODS We conducted an integrative systematic literature review. Three reviewers participated at different stages of article review. Of the 2234 articles identified in three databases (Pubmed, ProQuest Central, Ebscohost), 10 met inclusion criteria (i.e., adolescent aged United States populations, included information about birth cohort and survey year, focused on depressive symptoms/disorders). RESULTS All 10 articles observed increases in depressive symptoms and disorders in adolescents across recent survey years with increases observed between 1991 and 2020. Of the 3 articles that assessed birth cohort trends, birth cohort trends were less prominent than time period trends. Proposed explanations for increases included social media, economic-related reasons, changes in mental health screening and diagnosis, declining mental health stigma, increased treatment, and, in more recent years, the COVID-19 pandemic. CONCLUSIONS Multiple cross-sectional surveys and cohort studies documented rising prevalence of depressive symptoms and disorder among adolescents from 1991 to 2020. Mechanisms driving this increase are still unknown. Research to identify these mechanisms is needed to inform depression screening and intervention efforts for adolescents.
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Affiliation(s)
- Melanie S Askari
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY, 10032, USA.
| | - Daniel W Belsky
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY, 10032, USA
| | - Mark Olfson
- New York State Psychiatric Institute, Columbia University, 1051 Riverside Dr, New York, NY, 10032, USA
| | - Joshua Breslau
- RAND Corporation, 4570 Fifth Ave #600, Pittsburgh, PA, 15213, USA
| | - Ramin Mojtabai
- Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Hampton House 797, Baltimore, MD, 21205, USA
| | - Sandhya Kajeepeta
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY, 10032, USA
| | - Emilie Bruzelius
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY, 10032, USA
| | - Katherine M Keyes
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY, 10032, USA
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Martínez-Alés G, Szmulewicz A, López-Cuadrado T, Morrison CN, Keyes KM, Susser ES. Suicide Following the COVID-19 Pandemic Outbreak: Variation Across Place, Over Time, and Across Sociodemographic Groups. A Systematic Integrative Review. Curr Psychiatry Rep 2023; 25:283-300. [PMID: 37227647 PMCID: PMC10209574 DOI: 10.1007/s11920-023-01427-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/15/2023] [Indexed: 05/26/2023]
Abstract
PURPOSE OF REVIEW To systematically examine changes in suicide trends following the initial COVID-19 outbreak, focusing on geographical and temporal heterogeneity and on differences across sociodemographic subgroups. RECENT FINDINGS Of 46 studies, 26 had low risk of bias. In general, suicides remained stable or decreased following the initial outbreak - however, suicide increases were detected during spring 2020 in Mexico, Nepal, India, Spain, and Hungary; and after summer 2020 in Japan. Trends were heterogeneous across sociodemographic groups (i.e., there were increases among racially minoritized individuals in the US, young adults and females across ages in Japan, older males in Brazil and Germany, and older adults across sex in China and Taiwan). Variations may be explained by differences in risk of COVID-19 contagion and death and in socioeconomic vulnerability. Monitoring geographical, temporal, and sociodemographic differences in suicide trends during the COVID-19 pandemic is critical to guide suicide prevention efforts.
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Affiliation(s)
- Gonzalo Martínez-Alés
- CAUSALab, Harvard TH Chan School of Public Health, Boston, MA, USA.
- La Paz Research Institute (IdiPAZ), Madrid, Spain.
- Network Center for Biomedical Research in Mental Health (CIBERSAM), Madrid, Spain.
| | | | | | | | - Katherine M Keyes
- Columbia University Mailman School of Public Health, New York, NY, USA
| | - Ezra S Susser
- Columbia University Mailman School of Public Health, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
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Castillo-Carniglia A, Rivera-Aguirre A, Santaella-Tenorio J, Fink DS, Crystal S, Ponicki W, Gruenewald P, Martins SS, Keyes KM, Cerdá M. Changes in Opioid and Benzodiazepine Poisoning Deaths After Cannabis Legalization in the US: A County-level Analysis, 2002-2020. Epidemiology 2023; 34:467-475. [PMID: 36943813 DOI: 10.1097/ede.0000000000001609] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
BACKGROUND Cannabis legalization for medical and recreational purposes has been suggested as an effective strategy to reduce opioid and benzodiazepine use and deaths. We examined the county-level association between medical and recreational cannabis laws and poisoning deaths involving opioids and benzodiazepines in the US from 2002 to 2020. METHODS Our ecologic county-level, spatiotemporal study comprised 49 states. Exposures were state-level implementation of medical and recreational cannabis laws and state-level initiation of cannabis dispensary sales. Our main outcomes were poisoning deaths involving any opioid, any benzodiazepine, and opioids with benzodiazepines. Secondary analyses included overdoses involving natural and semi-synthetic opioids, synthetic opioids, and heroin. RESULTS Implementation of medical cannabis laws was associated with increased deaths involving opioids (rate ratio [RR] = 1.14; 95% credible interval [CrI] = 1.11, 1.18), benzodiazepines (RR = 1.19; 95% CrI = 1.12, 1.26), and opioids+benzodiazepines (RR = 1.22; 95% CrI = 1.15, 1.30). Medical cannabis legalizations allowing dispensaries was associated with fewer deaths involving opioids (RR = 0.88; 95% CrI = 0.85, 0.91) but not benzodiazepine deaths; results for recreational cannabis implementation and opioid deaths were similar (RR = 0.81; 95% CrI = 0.75, 0.88). Recreational cannabis laws allowing dispensary sales was associated with consistent reductions in opioid- (RR = 0.83; 95% CrI = 0.76, 0.91), benzodiazepine- (RR = 0.79; 95% CrI = 0.68, 0.92), and opioid+benzodiazepine-related poisonings (RR = 0.83; 95% CrI = 0.70, 0.98). CONCLUSIONS Implementation of medical cannabis laws was associated with higher rates of opioid- and benzodiazepine-related deaths, whereas laws permitting broader cannabis access, including implementation of recreational cannabis laws and medical and recreational dispensaries, were associated with lower rates. The estimated effects of the expanded availability of cannabis seem dependent on the type of law implemented and its provisions.
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Affiliation(s)
- Alvaro Castillo-Carniglia
- From the Society and Health Research Center and School of Public Health, Facultad de Ciencias Sociales y Artes, Universidad Mayor, Chile
- Millennium Nucleus for the Evaluation and Analysis of Drug Policies (nDP), Chile
- Millennium Nucleus on Sociomedicine (Sociomed), Chile
- Department of Population Health, New York University Grossman School of Medicine, NY
| | - Ariadne Rivera-Aguirre
- Millennium Nucleus for the Evaluation and Analysis of Drug Policies (nDP), Chile
- Department of Population Health, New York University Grossman School of Medicine, NY
| | | | | | - Stephen Crystal
- Center for Health Services Research, Institute for Health, Rutgers University, New Brunswick, NJ
| | - William Ponicki
- Prevention Research Center, Pacific Institute for Research and Evaluation, Berkeley, CA
| | - Paul Gruenewald
- Prevention Research Center, Pacific Institute for Research and Evaluation, Berkeley, CA
| | | | | | - Magdalena Cerdá
- Department of Population Health, New York University Grossman School of Medicine, NY
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Jaen J, Lovett SM, Lajous M, Keyes KM, Stern D. Adverse childhood experiences and adult outcomes using a causal framework perspective: Challenges and opportunities. Child Abuse Negl 2023; 143:106328. [PMID: 37379730 DOI: 10.1016/j.chiabu.2023.106328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 06/13/2023] [Accepted: 06/19/2023] [Indexed: 06/30/2023]
Abstract
BACKGROUND Research on the effect of adverse childhood experiences (ACEs) on adult outcomes has typically relied on retrospective assessment of ACEs and cumulative scores. However, this approach raises methodological challenges that can limit the validity of findings. OBJECTIVE The aims of this paper are 1) to present the value of directed acyclic graphs (DAGs) to identify and mitigate potential problems related to confounding and selection bias, and 2) to question the meaning of a cumulative ACE score. RESULTS Adjusting for variables that post-date childhood could block mediated pathways that are part of the total causal effect while conditioning on adult variables, which often serve as proxies for childhood variables, can create collider stratification bias. Because exposure to ACEs can affect the likelihood of reaching adulthood or study entry, selection bias could be introduced via restricting selection on a variable affected by ACEs in the presence of unmeasured confounding. In addition to challenges regarding causal structure, using a cumulative score of ACEs assumes that each type of adversity will have the same effect on a given outcome, which is unlikely considering differing risk across adverse experiences. CONCLUSIONS DAGs provide a transparent approach of the researchers' assumed causal relationships and can be used to overcome issues related to confounding and selection bias. Researchers should be explicit about their operationalization of ACEs and how it is to be interpreted in the context of the research question they are trying to answer.
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Affiliation(s)
- Jocelyn Jaen
- Mexican School of Public Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Sharonda M Lovett
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - Martín Lajous
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States; Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Katherine M Keyes
- Columbia University Mailman School of Public Health, NY, NY, United States
| | - Dalia Stern
- CONAHCyT - Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
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Ananth CV, Brandt JS, Keyes KM, Graham HL, Kostis JB, Kostis WJ. Epidemiology and trends in stroke mortality in the USA, 1975-2019. Int J Epidemiol 2023; 52:858-866. [PMID: 36343092 PMCID: PMC10244057 DOI: 10.1093/ije/dyac210] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 10/18/2022] [Indexed: 09/01/2023] Open
Abstract
BACKGROUND Whether changes in stroke mortality are affected by age distribution and birth cohorts, and if the decline in stroke mortality exhibits heterogeneity by stroke type, remains uncertain. METHODS We undertook a sequential time series analysis to examine stroke mortality trends in the USA among people aged 18-84 years between 1975 and 2019 (n = 4 332 220). Trends were examined for overall stroke and by ischaemic and haemorrhagic subtypes. Mortality data were extracted from the US death files, and age-sex population data were extracted from US census. Age-standardized stroke mortality rates and incidence rate ratio (IRR) with 95% confidence interval [CI] were derived from Poisson regression models. RESULTS Age-standardized stroke mortality declined for females from 87.5 in 1975 to 30.9 per 100 000 in 2019 (IRR 0.27, 95% CI 0.26, 0.27; average annual decline -2.78%, 95% CI -2.79, -2.78). Among males, age-standardized mortality rate declined from 112.1 in 1975 to 38.7 per 100 000 in 2019 (RR 0.26, 95% CI 0.26, 0.27; average annual decline -2.80%, 95% CI -2.81, -2.79). Stroke mortality increased sharply with advancing age. Decline in stroke mortality was steeper for ischaemic than haemorrhagic strokes. CONCLUSIONS Stroke mortality rates have substantially declined, more so for ischaemic than haemorrhagic strokes.
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Affiliation(s)
- Cande V Ananth
- Division of Epidemiology and Biostatistics, Department of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
- Cardiovascular Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
- Environmental and Occupational Health Sciences Institute, Rutgers Robert Wood Johnson Medical School, Piscataway, NJ, USA
| | - Justin S Brandt
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Katherine M Keyes
- Department of Epidemiology, Joseph L. Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Hillary L Graham
- Division of Epidemiology and Biostatistics, Department of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - John B Kostis
- Cardiovascular Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - William J Kostis
- Cardiovascular Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
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Fink DS, Keyes KM, Branas C, Cerdá M, Gruenwald P, Hasin D. Understanding the differential effect of local socio-economic conditions on the relation between prescription opioid supply and drug overdose deaths in US counties. Addiction 2023; 118:1072-1082. [PMID: 36606567 PMCID: PMC10175115 DOI: 10.1111/add.16123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 12/19/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND AIMS Both local socio-economic conditions and prescription opioid supply are associated with drug overdose deaths, which exhibit substantial geographical heterogeneity across the United States. We measured whether the associations of prescription opioid supply with drug overdose deaths vary by local socio-economic conditions. DESIGN Ecological county-level study, including 3109 US counties between 2006 and 2019 (n = 43 526 county-years) using annual mortality data. SETTING United States. CASES A total of 711 447 drug overdose deaths. MEASUREMENTS We modeled overdose counts using Bayesian hierarchical Poisson models, estimating associations between four types of drug overdose deaths (deaths involving any drugs, any opioid, prescription opioids only and heroin), prescription opioid supply and five socio-economic indicators: unemployment, poverty rate, income inequality, Rey index (components include mean household income, % high school graduates, % blue-collar workers and unemployment rate), and American human development index (HDI; an indicator of community wellbeing). FINDINGS Drug overdose deaths and all substance-specific overdose deaths were higher in counties with higher income inequality [adjusted odds ratios (aORs) = 1.09-1.13], Rey index (aORs = 1.15-1.21) and prescription opioid supply (aORs = 1.14-1.21), and lower in counties with higher HDI scores (aORs = 0.75-0.92). Poverty rate, income inequality and HDI scores were found to modify the effect of prescription opioid supply on heroin overdose deaths. The plot of the interactions showed that when disadvantage is high, increasing prescription opioid supply does not increase heroin overdose deaths. The less disadvantage there is, indicated by lower poverty rates, higher HDI scores and lower income inequality, the greater the effect of increasing prescription opioid supply relative to population size on heroin overdose deaths in US counties. CONCLUSIONS In the United States, prescription opioid supply is associated with higher drug overdose deaths; associations are stronger in counties with less disadvantage and less income inequality, but only for heroin overdose deaths.
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Affiliation(s)
- David S. Fink
- New York State Psychiatric Institute, New York, NY, USA
| | | | - Charles Branas
- Columbia University Mailman School of Public Health, New York, NY, USA
| | - Magdalena Cerdá
- Department of Population Health, New York University, New York, NY, USA
| | - Paul Gruenwald
- Prevention Research Centre, Pacific Institute for Research and Evaluation, Berkeley, CA, USA
| | - Deborah Hasin
- New York State Psychiatric Institute, New York, NY, USA
- Columbia University Mailman School of Public Health, New York, NY, USA
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Janjua NA, Kreski NT, Keyes KM. Social, educational, and psychological health correlates of e-cigarette and combustible cigarette use among adolescents in the US from 2015 to 2021. Addict Behav 2023; 144:107754. [PMID: 37230022 DOI: 10.1016/j.addbeh.2023.107754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 04/04/2023] [Accepted: 05/15/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND The prevalence of e-cigarette and vaping products has increased in the past decade, especially among adolescents. To provide data that will inform identification of youth at high risk, the goals of this study are to determine the social, educational, and psychological health outcomes associated with e-cigarette use distinct from combustible cigarettes. METHODS Annual samples of adolescents in grade 12 (years: 2015-2021, N = 24,015) were analyzed from Monitoring the Future cross-sectional data. Students were categorized based on vaping and smoking patterns (no use, vape only, combustible cigarette smoking only, or both). Survey-weighted prevalence and logistic regression were used to assess associations. RESULTS Between 2015 and 2021, 78.7% of students used neither e-cigarettes nor combustible cigarettes, 13.2% used e-cigarettes only (vape-only), 3.7% used combustible cigarettes only (smoke-only), and 4.4% used both. Students who vaped-only (OR:1.49, CI:1.28-1.74), smoked-only (OR:2.50, CI:1.98-3.16), or both (OR:3.03, CI:2.43-3.76) had worse academic performance than non-smoking, non-vaping peers after demographic adjustment. There was no significant difference in self-esteem between the "neither" group and the other groups, though the "vaping-only", "smoking-only" and "both" groups were more likely to report unhappiness. Inconsistent differences emerged regarding personal & family beliefs. CONCLUSIONS Generally, adolescents who reported e-cigarette-only use had better outcomes than their peers who smoked cigarettes. However, students who vape-only reported poorer academic performance compared to those who did not vape or smoke. Vaping and smoking were not significantly related to self-esteem, but were linked to unhappiness. Still, vaping does not follow the same patterns as smoking, despite frequent comparisons in the literature.
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Affiliation(s)
- Nabeel A Janjua
- Morehouse School of Medicine, United Negro College Fund, United States
| | - Noah T Kreski
- Columbia University Mailman School of Public Health, United States.
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Kreski NT, Ankrum H, Cerdá M, Chen Q, Hasin D, Martins SS, Olfson M, Keyes KM. Nicotine Vaping and Co-occurring Substance Use Among Adolescents in the United States from 2017-2019. Subst Use Misuse 2023; 58:1075-1079. [PMID: 37198725 DOI: 10.1080/10826084.2023.2188462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Background: The use of electronic cigarettes (or "vaping") among adolescents remains a public health concern given exposure to harmful substances, plus potential association with cannabis and alcohol. Understanding vaping as it intersects with combustible cigarette use and other substance use can inform nicotine prevention efforts. Methods: Data were drawn from 51,872 US adolescents (grades 8, 10, 12, years: 2017-2019) from Monitoring the Future. Multinomial logistic regression analyses assessed links of past 30-day nicotine use (none, smoking-only, vaping-only, and any smoking plus vaping) with both past 30-day cannabis use and past two-week binge drinking. Results: Nicotine use patterns were strongly associated with greater likelihood of cannabis use and binge drinking, particularly for the highest levels of each. For instance, those who smoked and vaped nicotine had 36.53 [95% CI:16.16, 82.60] times higher odds of having 10+ past 2-week binge drinking instances compared to non-users of nicotine. Discussion: Given the strong associations between nicotine use and both cannabis use and binge drinking, there is a need for sustained interventions, advertising and promotion restrictions, and national public education efforts to reduce adolescent nicotine vaping, efforts that acknowledge co-occurring use.
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Affiliation(s)
- Noah T Kreski
- Department of Epidemiology, Columbia University, Mailman School of Public Health, New York, New York, USA
| | - Hadley Ankrum
- Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, Connecticut, USA
| | - Magdalena Cerdá
- Department of Population Health, New York University School of Medicine, New York, New York, USA
| | - Qixuan Chen
- Department of Biostatistics, Columbia University, Mailman School of Public Health, New York, New York, USA
| | - Deborah Hasin
- Department of Epidemiology, Columbia University, Mailman School of Public Health, New York, New York, USA
- Department of Psychiatry, New York State Psychiatric Institute, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Silvia S Martins
- Department of Epidemiology, Columbia University, Mailman School of Public Health, New York, New York, USA
| | - Mark Olfson
- Department of Epidemiology, Columbia University, Mailman School of Public Health, New York, New York, USA
- Department of Psychiatry, New York State Psychiatric Institute, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Katherine M Keyes
- Department of Epidemiology, Columbia University, Mailman School of Public Health, New York, New York, USA
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Askari MS, Mauro PM, Kaur N, Keyes KM. Age, Period, and Cohort Trends in Perceived Mental Health Treatment Need and Differences by Mental Health Severity in the United States, 2008-2019. Community Ment Health J 2023; 59:631-640. [PMID: 36305995 PMCID: PMC9613449 DOI: 10.1007/s10597-022-01044-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 10/13/2022] [Indexed: 02/08/2023]
Abstract
Identifying age, period, and cohort trends in perceived mental health treatment need over time by mental illness severity is important to identify where to focus early intervention efforts. We included adults who did not report receiving past-year mental health treatment in the 2008-2019 National Survey on Drug Use and Health (N = 364,676). Hierarchical age-period-cohort models were used to assess perceived mental health treatment need, adjusting for demographics stratified by mental illness severity (none, any but not severe [AMI], severe [SMI]). Median odds ratios estimated cohort and period variance. Cohort effects explained a significant portion of the variance over time; period effects were minimal. Perceived mental health treatment need was highest among adults with AMI from recent birth cohorts (2000-2002: β = 1.12; 95% CI = 0.96, 1.28). Efforts are needed to address increases in perceived mental health treatment need in younger birth cohorts, such as removing structural barriers (e.g., healthcare system barriers).
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Affiliation(s)
- Melanie S Askari
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168Th St, New York, NY, 10032, USA.
| | - Pia M Mauro
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168Th St, New York, NY, 10032, USA
| | - Navdep Kaur
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168Th St, New York, NY, 10032, USA
| | - Katherine M Keyes
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168Th St, New York, NY, 10032, USA
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