The prevalence and predictors of mental health diagnoses and suicide among U.S. college students: Implications for addressing disparities in service use.

Associations between discrimination and adverse mental health symptoms and disorder diagnoses among college students in the United States

Ed Shneidman reports on his 1971 analysis of the suicides that had occurred in the Terman Gifted Children Study. Begun in the 1920s at Stanford University, Professor Lewis Terman identified 1,528 high-IQ California students and, over the years, they have been continuously followed. Today, the remaining subjects (about 100) have a mean age of 93. In his uniquely Shneiderian manner, Ed relates how, in 1971, he utilized a psychological autopsy approach to accurately predict the suicides of a small subsample of the 20 suicides that had occurred to date among the 857 male participants. Almost 35 years later, he shares with us his slightly revised view of those factors that he believes play significant predictable roles in the eventuality of suicide. Jeremy Kisch et al. report on analyses from the Spring 2000 National College Health Assessment Survey (NCHA), sponsored by the American College Health Association. This is the largest and most comprehensive survey to date (15,977 college students) that provides a replication of the CDC's 1995 National College Health Risk Behavior Survey (NCHRBS). This study investigates the relationship between suicidal behavior and depressed mood, as well as other risk factors which increase vulnerability to suicidal behavior. Of particular note is that less than 20% of college students reporting suicidal ideation or attempts were receiving treatment (psychotherapy and/or medications). Adolescent suicide continues to be a major focus of much research as evidenced by the number and range of studies published in SLTB over the years. Researchers have appropriately focused on identifying critical risk factors associated with suicidal behaviors. Thompson et al. explored the roles of anxiety, depression, and hopelessness as mediators between known risk factors and suicidal behaviors among 1,287 potential high school dropouts. As a step toward theory development, a model was tested that posited the relationships among these variables and their effects on suicidal behaviors. The results showed direct effects of depression and hopelessness on suicidal behaviors for males, and direct effects of hopelessness, but not depression, for females. For both males and females, anxiety was directly linked to depression and hopelessness; drug involvement had both direct and indirect effects on suicidal behavior. Lack of family support showed indirect influences on suicidal behaviors through anxiety for both males and females as hypothesized. As the authors point out, for mental health professionals, school personnel, and prevention scientists working with at-risk or suicidal youth, the findings make evident the need to address multiple co-occurring problem behaviors such as drug involvement, emotional distress, and suicidal behaviors. Over the years, SLTB has published data emanating from the CDC's Youth Risk Behavior Survey (YRBS), which is conducted biannually. (see SLTB 30: 304–312; 32: 321–323). The four questions that measure suicidal ideation and attempts are ordered along an implicit continuum of development and severity from seriously considering suicide, to planning, to actually attempting suicide, and, finally, to requiring medical attention for a suicide attempt. As presented by Victor Perez, this process assumes a straightforward sequence of suicidal thought and action and is the underpinning of the content and order of the YRBS questions. However, the assumed ordinal properties of the four questions had never been empirically tested. Brener, Krug, and Simon (SLTB 30: 304–312) found discrepancies in the trends of responses to the questions measuring suicidal activity in their analysis of the YRBS from 1991–1997. Specifically, they showed that although the percentage of students who reported having seriously considered or attempted suicide in the past 12 months had declined steadily since 1991, the percentage of students requiring medical attention for an injurious suicide attempt had increased. They concluded that injurious suicide attempts might not be linked to seriously considering or planning a suicide attempt. Perez examines the assumed ordinal relationship in the 1999 Youth Risk Behavior Survey by constructing a trajectory that identifies all possible response patterns among the four questions measuring suicidal activity. Significant differences between means of dependent variables at each level of the normative trajectory supported the hypothesis that frequency of risk behaviors increases monotonically with successive suicidal thought and behavior. Research on the relationship between schizophrenia and suicidal behaviors has languished until recently (see SLTB 30: 34–49; 34: 66–76; 34: 76–86; 34: 311–319). Camilla Haw et al. identify the risk factors for deliberate self-harm (DSH) in schizophrenia. They provide an explanation and reference to their use of the broader (European) term DSH, rather than attempted suicide. Although there are several published review articles on risk factors for suicide and suicidal behavior in schizophrenia, there are few reviews which make any mention of risk factors for DSH, and there is an assumption that the risk factors for DSH and suicide are the same. Haw et al. examined cohort and case-control studies of patients with schizophrenia or related diagnoses that reported DSH as an outcome. Five variables (past or recent suicidal ideation, previous DSH, past depressive episode, drug abuse or dependence, and higher mean number of psychiatric admissions) were associated with an increased risk of DSH, while one (unemployment) was associated with a reduced risk. In a continuing series of studies (see SLTB 27: 153–163), Eric Blaauw et al. focus on the prevention of suicide in jails and prisons. This current study aims to identify combinations of characteristics (demographic, psychiatric, and criminal) that are capable of identifying potential suicide victims. Characteristics of 95 suicide victims in the Dutch prison system were compared with those of a random sample of 247 inmates in ten jails. Combinations of indicators for suicide risk were also tested for their capability of identifying 209 suicides in U.S. jails and 279 prison suicides in England and Wales. A combination of two demographic characteristics (age over 40, homelessness), two criminal characteristics (one prior incarceration, violent offense), and two indicators of psychiatric problems (history of psychiatric care, history of hard drug abuse) proved capable of identifying 82 percent of the suicide victims in the Netherlands at a specificity of .82 in the general inmate population. Less powerful combinations correctly classified 53% of the U.S. suicides and 47% of the U.K. suicides. Blaauw and colleagues conclude that a small set of demographic and criminal characteristics and indicators of psychiatric problems is useful for the identification of suicide risk in jails and prisons. They point out that the characteristics can easily be incorporated in a screening device that can be administered during the intake process for new inmates. Some risk factors for suicidal behavior are similar to those often studied in the field of criminology. The link between suicide and crime is most apparent when there is a homicide followed by suicide. People who kill others rarely kill themselves afterward. When they do, they are more likely to have killed someone with whom they are intimately involved—an intimate partner or a child. A review of the literature on this phenomenon in Australia, Canada, and the United States showed that, in all three countries, the majority of those who commit suicide after a homicide are male partners or ex-partners of female victims. Using data on over 700 intimate femicides, Myrna Dawson examined the role of premeditation in cases of intimate femicide-suicide compared to killings that do not culminate in a suicide. Her results show that premeditation is more likely to occur in cases involving the offenders' suicide, but that evidence of premeditation varies depending on the type of suicidal killer. Michel Préville et al. present the results of a psychological autopsy investigation of 101 adults aged 60 years and older who died by suicide in Quebec in 1998–1999. The study looks at a number of variables from proxy survivor interview data, including health- and mental health-related behaviors, mental health diagnoses, and social and demographic variables. In this study, 42.6% of the suicide cases presented with mental disorders at the time of their death (mainly depression), and nearly 44% of the suicide cases had no current or pre-existing psychiatric condition. Only 27.7% of the cases did not express any idea of death during the 6-month period preceding their suicidal death. Interestingly, 53.5% of the suicide cases consulted a general practitioner or specialist during the 2-week period preceding their death. The authors suggest that family members and friends could play an important role in preventing elderly suicide attempts by encouraging their parents to discuss their suicidal thoughts with their general practitioner. The results show some similar and some disparate results compared to other studies of elderly suicides, indicating the need for research that examines the complex causal nature of the relationship between mental disorders and suicide among the elderly. Adding to his studies of homeless veterans who abuse substances (SLTB 33:430–432), Brent Benda studied 315 male and 310 female homeless military veterans in a V.A. inpatient program designed to treat substance abusers, many of whom also suffer psychiatric disorders. The study examined gender differences in factors associated with the odds of having suicidal thoughts, and of attempting suicide, in comparison to being nonsuicidal. Childhood and current sexual and physical abuses, depression, fearfulness, relationship problems, limited social support, and low self-esteem were more strongly associated with suicidal thoughts and attempts for women than for men veterans. Extent of alcohol and other drug abuse, aggression, resilience, self-efficacy, combat exposure, combat-related PTSD, and work problems were more strongly associated with suicidal thoughts and attempts for men than for women. While anticipating the release of the CDC's final 2002 national suicide death numbers and rates, there have been different explanations offered for the apparent slow, but steady decline in national suicide rates over the last years. In 1996 the rate was 11.52/100,000; 11.23 in 1997; 11.13 in 1998; 10.47 in 1999; 10.43 in 2000, and 10.69 in 2001. By the time you receive this issue, we will know whether the trend is heading downward or beginning to climb back up. Recently, my attention was drawn to an Editorial originally published on July 30, 1904, in the Journal of the American Medical Association, entitled, “The Increase in Suicide.” I have excerpted portions as follows: The increase of suicide has come to be such a marked feature of social statistics in this country that physicians must be made to realize the possibilities there may be of bringing about a decrease in this unfortunate matter by more care and prevision. Suicides are somewhat more than twice as frequent now as they were ten years ago. … Carefully collected statistics show that there was a constant increase from 3,531 suicides in 1891 to 6,600 in 1897, then a drop in 1898 to 5,920, and in 1899 to 5,340. In 1900 there were 6,755 suicides, an increase of over 150 above the figures for 1897, the highest previous number, and there has been a constant increase since, in 1903 the number of suicides being very close to 8,600. During the last thirteen years—that is, since 1891, there have been altogether 77,617 cases of suicide reported in the newspapers of this country. The decrease in the number of suicides during 1898 and 1899 is not surprising, if we remember the conditions that prevailed in the commercial world at that time. After a period of hard times there was the wave of prosperity and a decided reaction in men's feelings that made the future look bright enough for everyone. Curiously enough, the statistics, however, do not show that city life is so much harder on the people than country life. During the last ten years, the suicide rate in fifty cities of this country has about doubled. That is, however, only in proportion to the suicide rate throughout all the rest of the country and does not especially condemn the high pressure of large city life as a disturbing factor of mentality. The most serious thing about the statistics is the fact that, though suicides are more common among men than women in all countries, the difference is gradually growing less, and in recent years, this has been quite marked. (43: 333–334) The 1890 census data from some states was partially destroyed by a fire in 1921; however, the federal records indicate an 1890 U.S. census of 62,116,811. Using this number, the rates are as follows: 5.68/100,000 in 1891, 10.63 in 1897, 9.53 in 1898, and 8.60 in 1899. The official U.S. census in 1900 was 74,607,225. In 1900, there were 6,755 suicides, yielding a rate of 9.05/100,000. In 1903, there was a significant increase in the number of suicides to approximately 8,600. Using the 1900 census, the suicide rate rose to 11.53/100,000. During the 13-year period between 1891–1903 there were 77,617 suicides, or approximately 5,971/year. This yields a roughly estimated rate of 9.61/100,000 for this 13-year period. Taken as a whole for the years surrounding the turn of the 20th century, the rate hovered around 9–10/100,000. One hundred years later, we continue to grapple with similar rates and similar risk factors.

PurposeThere is a dearth of research on suicidal ideation (SI) that occurs specifically in the context of drinking alcohol. Alcohol use and binge drinking are both elevated among college students, among whom sexual and gender minority (SGM) students are at particular risk for SI. This manuscript examines alcohol use, SI, and SI specifically in the context of alcohol use among a large sample of undergraduate students and examines differences across sexual and gender minority groups.MethodsData were drawn from ~ 300,000 students who completed the American College Health Association National College Health Assessment (ACHA-NCHA) between Spring 2019 and Fall 2022. Participants reported identity variables and information about drinking behaviors and suicidal ideation over the past year. Multilevel models were used for all analyses.ResultsRisky drinking behaviors and higher blood alcohol content during the last episode of social drinking were associated with higher odds of SI while drinking. Rates of risky drinking behaviors, SI, and SI while drinking were elevated among SGM students with SGM men and nonbinary students reporting the highest rates across groups.ConclusionSI while drinking, which is seldom assessed in measures of either measures of suicidal thoughts or alcohol use behavior, is an important construct for further research to improve our understanding of high risk states for suicide. Given elevated rates of alcohol use and SI among college students, providing education and resources to reduce SI while drinking is a critical target for universities, particularly to reduce risk among vulnerable SGM students.

Binge drinking and sexual risk behaviors have historically been associated with lesbian, gay, bisexual, and transgender (LGBT) adults; however, few studies have described this association among broader sexual and gender minority (SGM) students, who often identify outside of LGBT (e.g., asexual, queer). This study examined the relationship between binge drinking and sexual risk behaviors among SGM versus non-SGM college students. A retrospective analysis was conducted with cross-sectional data from the Spring 2017 American College Health Association-National College Health Assessment (ACHA-NCHA) survey among US undergraduates (n = 47,821) across 92 institutions. Binge drinking was measured as more than five drinks consumed the last time the student socialized; sexual risk behavior was measured as the number of sexual partners in the past 12 months. Numerous undergraduates nationally identify as SGM (19.9%), with bisexual (32.7%), other SGM (26.1%), and asexual (25.4%) students comprising the largest subgroups. Prevalent among both SGM (28.1%) and non-SGM (29.6%) students, binge drinking had a significant main effect on the number of sexual partners. A significant interaction effect was observed between SGM identity and binge drinking on the number of sexual partners, such that this association was stronger in SGM versus non-SGM students. This effect remained significant across multiple SGM subgroups. SGM students are more prevalent and diverse than previously reported. While prevalent overall, binge drinking may be uniquely sexualized among SGM students. In the first large-scale study assessing drinking among disaggregated SGM college students, data suggest tailoring alcohol interventions to SGM students, particularly those identifying outside of LGBT.

Data Help Identify Vets Who Need MH Care

Objective: This study explored differences in mental health outcomes and help-seeking behaviors in college students at the intersection of sexual and gender minority (SGM) and neurodivergent identities. Participants: College students from a Midwestern University (N = 2,089). Method: Secondary analysis of the university’s ACHA-NCHA data (Spring 2020 & Spring 2024) examining differences between SGM and neurodivergent intersectional sub-groups (i.e., SGM-neurodivergent, SGM-neurotypical, cishet-neurodivergent, and cishet-neurotypical) in prevalence rates of psychological distress, mental health diagnoses, suicidal ideation and behavior, self-harming, and help-seeking behaviors. Results: SGM-neurodivergent students reported 1) higher depression and past-year help-seeking than all other groups and 2) higher distress and self-harming than both cishet groups. SGM groups reported higher suicide risk and neurodivergent groups reported higher anxiety than the cishet-neurotypical group. Conclusion: Findings demonstrate common and unique mental health concerns of SGM and Neurodivergent intersectional sub-groups and emphasize the importance of providers considering intersectionality when addressing mental health outcomes.

Veterans of Operations Enduring Freedom and Iraqi Freedom (OEF/OIF) have endured high combat stress and are eligible for 2 years of free military service-related health care through the Department of Veterans Affairs (VA) health care system, yet little is known about the burden and clinical circumstances of mental health diagnoses among OEF/OIF veterans seen at VA facilities. US veterans separated from OEF/OIF military service and first seen at VA health care facilities between September 30, 2001 (US invasion of Afghanistan), and September 30, 2005, were included. Mental health diagnoses and psychosocial problems were assessed using International Classification of Diseases, Ninth Revision, Clinical Modification codes. The prevalence and clinical circumstances of and subgroups at greatest risk for mental health disorders are described herein. Of 103 788 OEF/OIF veterans seen at VA health care facilities, 25 658 (25%) received mental health diagnosis(es); 56% of whom had 2 or more distinct mental health diagnoses. Overall, 32 010 (31%) received mental health and/or psychosocial diagnoses. Mental health diagnoses were detected soon after the first VA clinic visit (median of 13 days), and most initial mental health diagnoses (60%) were made in nonmental health clinics, mostly primary care settings. The youngest group of OEF/OIF veterans (age, 18-24 years) were at greatest risk for receiving mental health or posttraumatic stress disorder diagnoses compared with veterans 40 years or older. Co-occurring mental health diagnoses and psychosocial problems were detected early and in primary care medical settings in a substantial proportion of OEF/OIF veterans seen at VA facilities. Targeted early detection and intervention beginning in primary care settings are needed to prevent chronic mental illness and disability.

Relationship between physical and mental health comorbidities and COVID-19 positivity, hospitalization, and mortality

Mitigating the Impact of Coronavirus Disease-2019 on Child and Family Behavioral Health: Suggested Policy Approaches

Suicide Attempts Among a Cohort of Transgender and Gender Diverse People

Although studies have suggested a high risk of suicide in people with eating disorders, most studies have focused on suicidal ideation and attempts. There is little research on the characteristics of people with eating disorders who died by suicide, nor investigation of trends over time. We aimed to compare the characteristics of patients with eating disorders who died by suicide versus patients with other mental health diagnoses who died by suicide in England and to examine the trends in rates. In this national retrospective cohort study, data on all people (aged ≥10 years) who died by suicide in England, UK, between Jan 1, 1997, and Dec 31, 2021, while under the care (within the previous 12 months) of mental health services were obtained from the National Confidential Inquiry into Suicide and Safety in Mental Health (NCISH), in which clinical information is collected via a questionnaire completed by the mental health professional responsible for the patient's care. Incidence of suicide in, and demographic, clinical, and treatment characteristics of, patients with a diagnosis of eating disorder (as recorded by the treating clinician) who died by suicide were compared with patients with other mental health diagnoses who died by suicide within the same timeframe using univariable logistic regression analysis. People with related lived experience were involved in the study design, implementation, interpretation, and writing of the manuscript. Of 119 446 people for whom NCISH were notified of dying by suicide in England, 30 795 were under the recent care of mental health services, of whom 30 246 had known diagnoses and were included in analyses. Of these individuals, 10 373 (34%) were female and 19 873 (66%) were male; 2236 (8%) were of minority ethnicity; 382 (1%) had a diagnosis of eating disorder and 29 864 (99%) had another mental health diagnosis. Compared with patients with other mental health diagnoses who died by suicide, patients with eating disorders were younger (median age 33 years [range 15-90] vs 45 years [10-100]), more often female (343 [90%] female and 39 [10%] male in the eating disorders group; 10 030 [34%] female and 19 834 [66%] male in the other diagnoses group), and less likely to have evidence of conventional risk factors for suicide such as living alone (odds ratio [OR] 0·68, 95% CI 0·55-0·84). 22 (6%) of 382 were from a minority ethnic group. Patients with an eating disorder were characterised by a greater clinical complexity (eg, self-harm [OR 2·31, 95% CI 1·78-3·00], comorbidity [9·79, 6·81-14·1], and longer duration of illness [1·95, 1·56-2·43]), and were more likely to have died following overdoses (2·00, 1·62-2·45) than patients with other diagnoses. Childhood abuse (52 [37%] of 140) and domestic violence (18 [20%] of 91) were common in patients with eating disorders. Similar to patients with other diagnoses, most (244 [75%] of 326) of those with eating disorders who died by suicide were rated as low risk by clinicians at last contact. The number of suicide deaths in patients with eating disorders rose between 1997 and 2021 (incidence rate ratio [IRR] 1·03, 95% CI 1·02-1·05; p<0·0001), but rates fell when accounting for the greater number of patients entering mental health services (IRR 0·97, 0·95-1·00; p=0·033). This study was focused on people who sought help from mental health services. It did not consider subtypes of eating disorders or include a control group, but it does highlight possible areas for intervention. The comprehensive provision of evidence-based treatment for eating disorders and underlying conditions to address the clinical complexity in these patients might help to reduce suicide. Recognising limitations in clinical risk assessment, addressing early life experiences and current adversities, and appropriate prescribing might also be of benefit. Suicide prevention must remain a priority for eating disorder services and mental health care more widely. The Healthcare Quality Improvement Partnership.

The authors sought to develop and validate models using electronic health records to predict suicide attempt and suicide death following an outpatient visit. Across seven health systems, 2,960,929 patients age 13 or older (mean age, 46 years; 62% female) made 10,275,853 specialty mental health visits and 9,685,206 primary care visits with mental health diagnoses between Jan. 1, 2009, and June 30, 2015. Health system records and state death certificate data identified suicide attempts (N=24,133) and suicide deaths (N=1,240) over 90 days following each visit. Potential predictors included 313 demographic and clinical characteristics extracted from records for up to 5 years before each visit: prior suicide attempts, mental health and substance use diagnoses, medical diagnoses, psychiatric medications dispensed, inpatient or emergency department care, and routinely administered depression questionnaires. Logistic regression models predicting suicide attempt and death were developed using penalized LASSO (least absolute shrinkage and selection operator) variable selection in a random sample of 65% of the visits and validated in the remaining 35%. Mental health specialty visits with risk scores in the top 5% accounted for 43% of subsequent suicide attempts and 48% of suicide deaths. Of patients scoring in the top 5%, 5.4% attempted suicide and 0.26% died by suicide within 90 days. C-statistics (equivalent to area under the curve) for prediction of suicide attempt and suicide death were 0.851 (95% CI=0.848, 0.853) and 0.861 (95% CI=0.848, 0.875), respectively. Primary care visits with scores in the top 5% accounted for 48% of subsequent suicide attempts and 43% of suicide deaths. C-statistics for prediction of suicide attempt and suicide death were 0.853 (95% CI=0.849, 0.857) and 0.833 (95% CI=0.813, 0.853), respectively. Prediction models incorporating both health record data and responses to self-report questionnaires substantially outperform existing suicide risk prediction tools.

Research indicates that the emergency department is the primary setting for people to present with suicidal ideation. Attempting to provide interventions for this population depends greatly on understanding their needs and life circumstances at the time of presentation to services, therefore enabling more appropriate treatment pathways and services to be provided. This review aims to collate, evaluate and synthesize the empirical research focused on the population of people presenting to hospital settings with suicidal ideation. A systematic literature search was performed. Articles that met a specified set of inclusion criteria including participants being over 18, not being admitted to hospital and presenting to an emergency department setting underwent a quality assessment and data analysis. The quality assessment used was the EPHPP Quality Assessment Tool for Quantitative Studies (Thomas et al., 2004). Twenty-seven articles were included in the review. Studies were quantitative and of reasonable methodological quality (Thomas et al., 2004). The literature was characterized by demographic information, mental health factors associated with the presentation to hospital and treatment pathways or outcomes reported. The reviewed research showed that people presenting to emergency departments with suicidal ideation were varying in age, gender, ethnic background and socio-economic status (SES). Large proportions of studies reported psychosocial factors alongside interpersonal struggles as the main presenting reason. The review highlights large variability across these factors. Mental health diagnosis was common, previous suicide attempt was a risk factor, and treatment pathways were unclear. The review identifies the outstanding gaps and weaknesses in this literature as well as areas in need of future research. In conclusion, the review highlights the prevalence of people reporting interpersonal factors as the reason for suicidal ideation and not mental health disorders or diagnosis. Despite this, no mention of trauma or life stories was made in any study assessing this population. Despite a large variation across studies making synthesis difficult, data proves clinically relevant and informative for future practice and guidance on areas needing further research.

Although extensive studies on adolescent suicidal behavior have been conducted in developed countries such as the United States, little data exist on risk factors for suicide among adolescents in culturally and socially disadvantages settings, such as Jamaica. To conduct a preliminary investigation of risk factors associated with suicide ideation and attempt among youths in Western Jamaica. We conducted a cross-sectional study of 342 adolescents aged 10-19 years from 19 schools. Multivariate analysis showed that a history of self-violence, violent thoughts toward others, mental health diagnoses other than depression, and a history of sexual abuse were positively associated with suicide attempt. Sexual abuse, mental health diagnoses other than depression, self-violence, and ease of access to lethal substances/weapons were positively associated with suicide ideation. We found a relatively high prevalence of suicide ideation and suicide attempts among adolescents living in Western Jamaica. An accurate understanding of the prevailing risk factors for suicide attempts will promote a more sympathetic approach to victims and facilitate prevention efforts.

Health care systems struggle to identify risk factors for suicide. Adverse social determinants of health (SDH) are strong predictors of suicide risk, but most electronic health records (EHR) do not include SDH data. To determine the prevalence of SDH documentation in the EHR and how SDH are associated with suicide ideation and attempt. This cross-sectional analysis included EHR data spanning October 1, 2015-September 30, 2016, from the Veterans Integrated Service Network Region 4. The study included all patients with at least one inpatient or outpatient visit (n = 293,872). Adverse SDH, operationalized using Veterans Health Administration (VHA) coding for services and International Statistical Classification of Diseases and Related Health Problems (ICD)-10 codes, encompassed seven types (violence, housing instability, financial/employment problems, legal problems, familial/social problems, lack of access to care/transportation, and nonspecific psychosocial needs). We defined suicide morbidity by ICD-10 codes and data from the VHA's Suicide Prevention Applications Network. Logistic regression assessed associations of SDH with suicide morbidity, adjusting for socio-demographics and mental health diagnoses (e.g., major depression). Statistical significance was assessed with p < .01. Overall, 16.4% of patients had at least one adverse SDH indicator. Adverse SDH exhibited dose-response-like associations with suicidal ideation and suicide attempt: each additional adverse SDH increased odds of suicidal ideation by 67% (AOR = 1.67, 99%CI = 1.60-1.75; p < .01) and suicide attempt by 49% (AOR = 1.49, 99%CI = 1.33-1.68; p < .01). Independently, each adverse SDH had strong effect sizes, ranging from 1.86 (99%CI = 1.58-2.19; p < .01) for legal issues to 3.10 (99%CI = 2.74-3.50; p < .01) for non-specific psychosocial needs in models assessing suicidal ideation and from 1.58 (99%CI = 1.10-2.27; p < .01) for employment/financial problems to 2.90 (99%CI = 2.30-4.16; p < .01) for violence in models assessing suicide attempt. SDH were strongly associated with suicidal ideation and suicide attempt even after adjusting for mental health diagnoses. Integration of SDH data in EHR could improve suicide prevention.