Suicide among lawyers: Role of job problems

Stack, Steven; Bowman, Barbara A.

doi:10.1111/sltb.12945

Cited by 6 publications

(9 citation statements)

References 38 publications

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“…In this study, a stable marital status was one of the protective factors for NSSI in female patients with mood disorders. Stable marital status provides patients with social, financial, and emotional support, and reduces their isolation by providing them with opportunities to interact ( 48 , 49 ); their spouses’ support in the monitoring of health-related behavior may also help encourage a healthy lifestyle ( 50 , 51 ). A study was also conducted in Beijing among patients with mood disorders, marital status was compared between patients with and without NSSI and found that being unmarried was a risk factor for NSSI in patients with depression and bipolar disorder ( 25 ).…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a prediction nomogram for non-suicidal self-injury in female patients with mood disorder

Liang

Liu

et al. 2023

Front. Psychiatry

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BackgroundNon-suicidal self-injury (NSSI) is a highly prevalent behavioral problem among people with mental disorders that can result in numerous adverse outcomes. The present study aimed to systematically analyze the risk factors associated with NSSI to investigate a predictive model for female patients with mood disorders.MethodsA cross-sectional survey among 396 female patients was analyzed. All participants met the mood disorder diagnostic groups (F30–F39) based on the Diseases and Related Health Problems 10th Revision (ICD-10). The Chi-Squared Test, t-test, and the Wilcoxon Rank-Sum Test were used to assess the differences of demographic information and clinical characteristics between the two groups. Logistic LASSO Regression Analyses was then used to identify the risk factors of NSSI. A nomogram was further used to construct a prediction model.ResultsAfter LASSO regression selection, 6 variables remained significant predictors of NSSI. Psychotic symptom at first-episode (β = 0.59) and social dysfunction (β = 1.06) increased the risk of NSSI. Meanwhile, stable marital status (β = −0.48), later age of onset (β = −0.01), no depression at onset (β = −1.13), and timely hospitalizations (β = −0.10) can decrease the risk of NSSI. The C-index of the nomogram was 0.73 in the internal bootstrap validation sets, indicated that the nomogram had a good consistency.ConclusionOur findings suggest that the demographic information and clinical characteristics of NSSI can be used in a nomogram to predict the risk of NSSI in Chinese female patients with mood disorders.

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Section: Discussionmentioning

confidence: 99%

Development and validation of a prediction nomogram for non-suicidal self-injury in female patients with mood disorder

Liang

Liu

et al. 2023

Front. Psychiatry

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“…In many Western countries, being unmarried or divorced is often associated with a higher risk of suicidal behavior, while being married is generally considered protective. 4 , 70 However, studies in South Asia have shown a higher proportion of married individuals among those engaging in suicidal behavior. 59 , 68 , 71 , 72 , 73 This contrasting finding suggests that the association between marital status and suicidal behavior may be influenced by cultural, social, and economic factors specific to the South Asian region.…”

Section: Discussionmentioning

confidence: 99%

“…Among various psychosocial factors, marital status is linked with social and community integration, 4 and in turn, is associated with social isolation and its further consequences including suicidal behavior. 5 While marriage could enhance social integration and regulation leading to chances of reducing suicidal risk, divorce, on the other hand, could increase suicide risk by breaking the marriage and relationships between the individual.…”

Section: Introductionmentioning

confidence: 99%

“… 5 While marriage could enhance social integration and regulation leading to chances of reducing suicidal risk, divorce, on the other hand, could increase suicide risk by breaking the marriage and relationships between the individual. 4 Several studies have examined to demonstrate that marital status is a significant factor in suicide and have found that single people are significantly more likely to die by suicide than married people. 6 , 7 , 8 , 9 , 10 , 11 , 12 Similarly, cultural and geographical factors are also related to developing suicidal behavior.…”

Section: Introductionmentioning

confidence: 99%

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Marital status and suicidal behavior in South Asia: A systematic review and meta‐analysis

Arafat,

Menon,

Khan

et al. 2023

Health Science Reports

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Background and AimsThe connection between marital status and suicidal behavior has been poorly assessed in South Asia. We aimed to see the proportion of marital status in individuals with suicidal behavior in South Asian countries.MethodsWe followed PRISMA guidelines and registered the protocol in advance (PROSPERO 2023 CRD42023399906). A systematic search was conducted in Medline, Embase, and PsycINFO. Meta‐analyses were performed to pool the proportion of married individuals with suicidal behavior (total [suicide + suicide attempts], suicide, and suicide attempt) in South Asian countries. We considered suicidal behavior consist of suicide and suicide attempts (nonfatal).ResultsOur search identified 47 studies for this review from 6 countries published from 1999 to 2022 with a sample size ranging from 27 to 89,178. The proportion of married individuals was 55.4% (95% CI: 50.1–60.5) for suicidal behavior, 52.7% (95% CI: 44.5–60.7) for suicides, and 43.1 (95% CI: 32.9–53.9) for suicide attempts. The proportion of married persons among suicide attempts varied significantly across countries (p = 0.016) which was highest (61.8%; 95% CI: 57.2–66.2) in India, followed by Bangladesh (52.5%; 95% CI: 41.8%–62.9%) and Pakistan (45.1%; 95% CI: 30.9–59.9). The pooled proportions did not differ significantly in relation to the quality of the studies (p = 0.633).ConclusionThis review identified married persons died more than others by suicide in South Asian countries while single persons attempted suicide than married. As the current study did not assess any cause‐and‐effect association, a cautious interpretation is warranted while considering married marital status as a risk factor.

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“…We also found 'social isolation' and 'violence' as two of the most common positive SBDH predictors. Prior studies showed a higher association between social isolation and suicide risk 12,[42][43][44][45] . Exposure to violence is also a well-known risk factor for suicidality 12,46,47 .…”

Section: Ensemble Learningmentioning

confidence: 92%

Predicting Suicide Among US Veterans Using Natural Language Processing-enriched Social and Behavioral Determinants of Health

Mitra,

Chen,

Liu

et al. 2024

Preprint

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Despite recognizing the critical association between social and behavioral determinants of health (SBDH) and suicide risk, SBDHs from unstructured electronic health record (EHR) notes for suicide predictive modeling remain underutilized. This study investigates the impact of SBDH, identified from both structured and unstructured data utilizing a natural language processing (NLP) system, on suicide prediction within 7, 30, 90, and 180 days of discharge. Using EHR data of 2,987,006 Veterans between October 1, 2009, and September 30, 2015, from the US Veterans Health Administration (VHA), we designed a case-control study that demonstrates that incorporating structured and NLP-extracted SBDH significantly enhances the performance of three architecturally distinct suicide predictive models - elastic-net logistic regression, random forest (RF), and multilayer perceptron. For example, RF achieved notable improvements in suicide prediction within 180 days of discharge, with an increase in the area under the receiver operating characteristic curve from 83.57–84.25% (95% CI = 0.63%-0.98%, p-val < 0.001) and the area under the precision recall curve from 57.38–59.87% (95% CI = 3.86%-4.82%, p-val < 0.001) after integrating NLP-extracted SBDH. These findings underscore the potential of NLP-extracted SBDH in enhancing suicide prediction across various prediction timeframes, offering valuable insights for healthcare practitioners and policymakers.

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Suicide among lawyers: Role of job problems

Cited by 6 publications

References 38 publications

Development and validation of a prediction nomogram for non-suicidal self-injury in female patients with mood disorder

Development and validation of a prediction nomogram for non-suicidal self-injury in female patients with mood disorder

Marital status and suicidal behavior in South Asia: A systematic review and meta‐analysis

Predicting Suicide Among US Veterans Using Natural Language Processing-enriched Social and Behavioral Determinants of Health

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