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Appropriate after-care for the estimated 1.4 million people with nonfatal suicide attempts each year in the United States is critical, yet little research has focused on recovery needs after an attempt and whether important gender differences in those needs may exist. In this study, we examined gender differences in recovery needs after a suicide attempt among a national sample of women and men veterans.

We interviewed 25 women and 25 men veterans from Veterans Health Administration health care systems across the country. Purposive sampling was used to obtain a demographically and clinically diverse sample. Transcripts were analyzed using thematic analysis.

Although some recovery topics were similar between genders, the participants' primary recovery needs, or goals, differed by gender. Women focused on developing connections with others and wanted to increase their self-knowledge and self-worth. Men were focused on trying to live up to their ideal selves by living and doing "right." Men also wanted to feel like they were needed by others. Both women and men also wanted to feel a stronger sense of purpose in their lives.

Findings suggest that recovery needs among veterans after a nonfatal suicide attempt vary by gender women may benefit more from psychoeducational approaches in group settings with other women, whereas men may benefit more from approaches that help them focus on making changes in their lives towards becoming their ideal selves.
Findings suggest that recovery needs among veterans after a nonfatal suicide attempt vary by gender women may benefit more from psychoeducational approaches in group settings with other women, whereas men may benefit more from approaches that help them focus on making changes in their lives towards becoming their ideal selves.
Suicide prevention is a public health priority, but risk factors for suicide after medical hospitalization remain understudied. This problem is critical for women, for whom suicide rates in the United States are disproportionately increasing.

To differentiate the risk of suicide attempt and self-harm following general medical hospitalization among women with depression, bipolar disorder, and chronic psychosis.

We developed a machine learning algorithm that identified risk factors of suicide attempt and self-harm after general hospitalization using electronic health record data from 1628 women in the University of California Los Angeles Integrated Clinical and Research Data Repository. To assess replicability, we applied the algorithm to a larger sample of 140,848 women in the New York City Clinical Data Research Network.

The classification tree algorithm identified risk groups in University of California Los Angeles Integrated Clinical and Research Data Repository (area under the curve 0.73, sensitivity 73.4, specificity 84.1, accuracy 0.84), and predictor combinations characterizing key risk groups were replicated in New York City Clinical Data Research Network (area under the curve 0.71, sensitivity 83.3, specificity 82.2, and accuracy 0.84). Predictors included medical comorbidity, history of pregnancy-related mental illness, age, and history of suicide-related behavior. Women with antecedent medical illness and history of pregnancy-related mental illness were at high risk (6.9%-17.2% readmitted for suicide-related behavior), as were women below 55 years old without antecedent medical illness (4.0%-7.5% readmitted).

Prevention of suicide attempt and self-harm among women following acute medical illness may be improved by screening for sex-specific predictors including perinatal mental health history.
Prevention of suicide attempt and self-harm among women following acute medical illness may be improved by screening for sex-specific predictors including perinatal mental health history.
This study aimed to (1) examine whether the latent class structure of individuals engaging in self-directed violence and indirect self-harm behaviors (eg, substance use, disordered eating) varied by gender in a sample of US veterans, and (2) test the associations of posttraumatic stress disorder (PTSD) and depressive symptoms with the resulting classes.

Cross-sectional data from 3581 veterans, ages 18-50 (51.9% identified as women) were analyzed. https://www.selleckchem.com/products/nocodazole.html Veterans self-reported histories of self-directed violence, substance use, and disordered eating. Latent class analysis and latent class regression were used to explore class structure by gender and examine association of class membership with PTSD and depressive symptoms.

A 4-class model was supported in the sample. Class 1 (20.0%) was characterized by substance use and self-directed violent thoughts and behaviors. Class 2 (8.3%) was characterized by substance use, disordered eating, and self-directed violent thoughts and behaviors. Class 3 (12.6%) was distinguished by indirect self-harm behaviors (substance use and disordered eating). Class 4 (59.6%) reflected low likelihood of behavioral dysregulation. Classes were partially invariant across gender; endorsement of substance use behaviors was generally higher for men in each class. Comorbid clinically significant depressive and PTSD symptoms were associated with the class characterized by highest behavioral dysregulation.

Self-directed violent thoughts and behaviors present comorbidly with indirect self-harm in men and women veterans, although patterns of indirect self-harm behaviors differ slightly by gender. Such comorbidity may be associated with more severe presentations of psychiatric concerns.
Self-directed violent thoughts and behaviors present comorbidly with indirect self-harm in men and women veterans, although patterns of indirect self-harm behaviors differ slightly by gender. Such comorbidity may be associated with more severe presentations of psychiatric concerns.
To examine sex differences in risk for administratively documented suicide attempt (SA) among US Army soldiers during the Iraq/Afghanistan wars.

Using administrative person-month records of Regular Army enlisted soldiers from 2004 to 2009, we identified 9650 person-months with a first documented SA and an equal-probability control sample (n=153,528 person-months). Person-months were weighted to the population and pooled over time. After examining the association of sex with SA in a logistic regression analysis, predictors were examined separately among women and men.

Women (an estimated 13.7% of the population) accounted for 25.2% of SAs and were more likely than men to attempt suicide after adjusting for sociodemographic, service-related, and mental health diagnosis (MHDx) variables (odds ratio=1.6; 95% confidence interval, 1.5-1.7). Women with increased odds of SA in a given person-month were younger, non-Hispanic White, less educated, in their first term of enlistment, never or previously deployed (vs.
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