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Ecotoxicology and Environmental Safety Jun 2024This study aims to investigate the potential link between exposure to organophosphorus pesticides (OPPs) and suicidal ideation (SI) among adults.
OBJECTIVE
This study aims to investigate the potential link between exposure to organophosphorus pesticides (OPPs) and suicidal ideation (SI) among adults.
METHODS
This study encompassed four cycles of the National Health and Nutrition Examination Survey (NHANES), involving 5244 participants aged 20 and above. SI was assessed using the Patient Health Questionnaire-9. The levels of exposure to OPPs were estimated by analyzing concentrations of OPP metabolites in urine samples. Multivariate logistic regression models were used to explore the association between exposure to each OPP and SI. Stratified analyses and interaction tests were conducted across various groups, including pairwise combinations of gender and age, as well as body mass index, smoking status, hypertension, and diabetes. Weighted Quantile Sum (WQS) regression and Bayesian Kernel Machine Regression (BKMR) models were applied to assess the cumulative impact of exposure to the four OPPs on SI, along with their respective contributions. Additionally, the potential interactions among these four OPPs were evaluated.
RESULTS
Multivariate logistic regression revealed that only dimethylthiophosphate (DMTP) among OPPs demonstrated a statistically significant positive association with SI [OR: 1.18; 95 % CI: 1.02-1.37]. Stratified analyses indicated that the influence of OPPs on SI was particularly pronounced in young and older men. The WQS regression analysis revealed a statistically significant association between the mixed metabolites of OPPs and SI [OR = 1.10, 95 % CI: 1.04-1.16], with DMTP (weighted 0.63) contributing the most. Furthermore, the BKMR model supported a positive trend in the overall impact of these OPP metabolites on SI, displaying notable individual exposure-response relationships for DMTP (PIP: 0.77).
CONCLUSIONS
Our study suggests an association between exposure to DMTP and an increased risk of SI. Specifically, young adult males and older males appear particularly susceptible to the effects of OPP exposure.
PubMed: 38896903
DOI: 10.1016/j.ecoenv.2024.116572 -
Health Science Reports Jun 2024Covid 19 has fast-paced the use of technological innovations, mainly the internet. However, Internet use can lead to several behavioral and psychological conditions,...
BACKGROUND
Covid 19 has fast-paced the use of technological innovations, mainly the internet. However, Internet use can lead to several behavioral and psychological conditions, such as cyberbullying and distorted relationships, which could lead to suicide ideation. Suicide is the second leading cause of death among young adults.
AIM
To assess the association between Internet addiction and suicide ideation among university students in Malawi. Furthermore, to assess the factors associated with suicidal thoughts among Malawian college students who surf the World Wide Web.
METHODS
This cross-sectional study utilized secondary research and used data available from https://data.mendeley.com/drafts/xbfbcy5bhv. Internet addiction was measured using the Internet Addiction Test. The dependent variable includes suicide ideation. Binary logistic regression was used to analyze the relationship between the dependent and independent variables. The value of < 0.05 was considered statistically significant.
RESULTS
Out of the 620 participants, 514 (82.2%) were aged between 15 and 24. The majority were males 401 (64.7%). The mean IAT score was 46.08 (SD = 14.60). The IAT score was 44.81 (SD = 13.85) among males and 48.40 (SD = 15.65) among females ( = 0.003). About 341 (55%) of students use the internet excessively. Suicide ideation was prevalent among 101 (16.3%) of the students. Suicide ideation was significantly associated with internet addiction. ( < 0.001). The odds of developing suicidal thoughts increased about 3 times among excessive internet users compared to average users (OR = 2.91, 95% CI = 1.213-7.018). However, age, gender, discipline, and year of study were not associated with suicide ideation.
CONCLUSION
The study suggests that internet addiction affects suicide ideation mainly through distorting social relationships. School settings should increase awareness regarding the safe use of the internet to ensure a balance between online and real-life interactions and curb suicide.
PubMed: 38895549
DOI: 10.1002/hsr2.2194 -
International Journal of Molecular... May 2024Suicide is a major public health priority, and its molecular mechanisms appear to be related to glial abnormalities and specific transcriptional changes. This study... (Review)
Review
Suicide is a major public health priority, and its molecular mechanisms appear to be related to glial abnormalities and specific transcriptional changes. This study aimed to identify and synthesize evidence of the relationship between glial dysfunction and suicidal behavior to understand the neurobiology of suicide. As of 26 January 2024, 46 articles that met the inclusion criteria were identified by searching PubMed and ISI Web of Science. Most postmortem studies, including 30 brain regions, have determined no density or number of total Nissl-glial cell changes in suicidal patients with major psychiatric disorders. There were 17 astrocytic, 14 microglial, and 9 oligodendroglial studies using specific markers of each glial cell and further on their specific gene expression. Those studies suggest that astrocytic and oligodendroglial cells lost but activated microglia in suicides with affective disorder, bipolar disorders, major depression disorders, or schizophrenia in comparison with non-suicided patients and non-psychiatric controls. Although the data from previous studies remain complex and cannot fully explain the effects of glial cell dysfunction related to suicidal behaviors, they provide risk directions potentially leading to suicide prevention.
Topics: Humans; Neuroglia; Suicide; Brain; Biomarkers; Autopsy; Suicidal Ideation; Bipolar Disorder
PubMed: 38891940
DOI: 10.3390/ijms25115750 -
Absence of nonfatal suicidal behavior preceding suicide death reveals differences in clinical risks.MedRxiv : the Preprint Server For... Jun 2024Nonfatal suicidality is the most robust predictor of suicide death. However, only ~10% of those who survive an attempt go on to die by suicide. Moreover, ~50% of suicide...
Nonfatal suicidality is the most robust predictor of suicide death. However, only ~10% of those who survive an attempt go on to die by suicide. Moreover, ~50% of suicide deaths occur in the absence of prior known attempts, suggesting risks other than nonfatal suicide attempt need to be identified. We studied data from 4,000 population-ascertained suicide deaths and 26,191 population controls to improve understanding of risks leading to suicide death. This study included 2,253 suicide deaths and 3,375 controls with evidence of nonfatal suicidality (SUI_SI/SB and CTL_SI/SB) from diagnostic codes and natural language processing of electronic health records notes. Characteristics of these groups were compared to 1,669 suicides with no prior nonfatal SI/SB (SUI_None) and 22,816 controls with no lifetime suicidality (CTL_None). The SUI_None and CTL_None groups had fewer diagnoses and were older than SUI_SI/SB and CTL_SI/SB. Mental health diagnoses were far less common in both the SUI_None and CTL_None groups; mental health problems were less associated with suicide death than with presence of SI/SB. Physical health diagnoses were conversely more often associated with risk of suicide death than with presence of SI/SB. Pending replication, results indicate highly significant clinical differences among suicide deaths with versus without prior nonfatal SI/SB.
PubMed: 38883733
DOI: 10.1101/2024.06.05.24308493 -
Frontiers in Public Health 2024This study identifies potential categories of mental health for adolescents in different school years and further analyzes the relationship between these categories and...
INTRODUCTION
This study identifies potential categories of mental health for adolescents in different school years and further analyzes the relationship between these categories and suicidal ideation.
METHODS
A total of 1944 middle school students completed SCL-90 and Self-rating Idea of Suicide Scale on November 29, 2022, selecting via a whole-group sampling method. Latent profile analysis was used to analyze the psychological health subtypes of students from a middle school in Southwest China. The R3step method and the DU3step method were conducted to analyze the predictive role of demographic variables and the effects of different profiles on suicidal ideation.
RESULTS
Different potential categories of psychological health were observed among middle school students. Junior middle school students can be classified into three types: Psychological Health Type (62.3%), Low-risk Type (27.1%) and High-risk Type (10.7%). Senior middle school students can be classified into four types: Psychological Health Type (43.3%), Low-risk Type (33.9%), Medium -risk Type (16.8%), and High-risk Type (6.0%). Gender and subjective family atmosphere are predictors of psychological health, and they also influence the population distribution of psychological health patterns in different sections of middle school students. Girls and students with poor subjective family atmosphere are more prone to experiencing psychological problems. There were significant differences in suicidal ideation among different potential categories of psychological health of different sections middle school students ( = 1178.71, 1174.85, <0.001). Among senior high school students classified as High-risk Type, they exhibited the highest score for suicidal ideation.
CONCLUSION
There is obvious group heterogeneity in psychological health of different sections middle school students. Older students are more likely to have suicidal thoughts.
Topics: Humans; Suicidal Ideation; Female; Male; Adolescent; Students; China; Mental Health; Surveys and Questionnaires; Risk Factors; Schools; Child
PubMed: 38883195
DOI: 10.3389/fpubh.2024.1390682 -
BMC Psychiatry Jun 2024Depression is a pervasive mental health condition that affects individuals across various demographic categories, including imprisoned adults. The prevalence of mental...
INTRODUCTION
Depression is a pervasive mental health condition that affects individuals across various demographic categories, including imprisoned adults. The prevalence of mental health problems among inmates worldwide is considerably higher than in the general population, and it is estimated that 11% of inmates have significant mental disorders, such as anxiety and depression. This study aimed to find out the prevalence of depression and factors associated with it among the prisoners of Gandaki Province, Nepal.
METHODS
A descriptive cross-sectional study was conducted among the inmates in Gandaki Province, Nepal. Data were collected from 223 inmates, who were recruited through systematic random sampling from eight district-level prisons. The Beck Depression Inventory-II was used to measure depression, with the cumulated score dichotomized into depressed and not-depressed categories. Additionally, a structured questionnaire was employed to capture socio-demographic and imprisonment-related variables. Bivariate and multivariable logistic regressions were performed to examine the factors associated with depression.
RESULTS
Findings revealed that 18.8% of the inmates exhibited symptoms of depression. Inmates with health problems [(adjusted odds ratio (aOR) = 2.39], suicide ideation during imprisonment (aOR = 4.37), and attempted suicide before imprisonment (aOR = 7.97) had a statistically significant relationship with depression. This study revealed a notable prevalence of depression among incarcerated individuals in the Gandaki Province of Nepal.
CONCLUSION
The findings imply a crucial need for psychosocial and rehabilitative interventions to enhance inmates' mental health and overall well-being.
Topics: Humans; Nepal; Cross-Sectional Studies; Prisoners; Male; Adult; Prevalence; Depression; Female; Middle Aged; Young Adult; Suicidal Ideation; Psychiatric Status Rating Scales; Suicide, Attempted; Adolescent
PubMed: 38877458
DOI: 10.1186/s12888-024-05896-9 -
BMC Psychiatry Jun 2024Self-harm and suicidal ideation are prevalent among adolescents, cause physical and psychosocial disability, and have potentially life-threatening consequences....
BACKGROUND
Self-harm and suicidal ideation are prevalent among adolescents, cause physical and psychosocial disability, and have potentially life-threatening consequences. Dialectical behavioral therapy for Adolescents (DBT-A) is an evidence-based intervention for reducing self-harm. However, few studies have investigated the effectiveness of DBT-A when delivered in routine clinical practice.
METHODS
A follow-up cohort study, based on data from a quality assessment register of DBT-A in child and adolescent mental health services including seven outpatient clinics. Inclusion criteria were ongoing or a history of self-harming behavior the last 6 months; current suicidal behavior; at least 3 criteria of DSM-IV Borderline personality disorder (BPD), or at least the self-destruction criterion of DSM-IV BPD, in addition to minimum 2 subthreshold criteria; and fluency in Norwegian. Participants received 20 weeks of DBT-A consisting of multifamily skills training groups and individual therapy sessions. Outcomes from 41 participants included frequency of self-harm, suicide attempts and hospitalizations caused by self-harm or suicide attempts, assessed pre-, during, and post-treatment by self-report and reviews of the patient's medical records. Suicidal ideation, urge to self-harm and perceived feelings of happiness and sadness were assessed by the patients' diary cards at week 1, 5, 10, 15 and 20 of the treatment program.
RESULTS
Participants attended an average of 17.9 (SD = 4.7) individual sessions, 14.7 (SD = 3.4) group-based skills training sessions and 4.6 (SD = 4.1) brief intersession telephone consultations. Moderate to large within-group effect sizes (ES) were found in self-harm from pre-treatment to 1-5 weeks (d = 0.64), 6-10 weeks (d = 0.84), 11-15 weeks (d = 0.99), 16-20 weeks (d = 1.26) and post-treatment (d = 1.68). Nine participants were admitted to hospitalization during DBT-A, whereas five had attempted suicide, but no suicides were completed. No statistically significant changes were found in suicidal ideation, urge to self-harm or perceived feelings of happiness or sadness from pre to post treatment.
CONCLUSION
The findings of the current study are promising as the participants reported considerably reduced self-harm behavior after DBT-A treatment in a child and adolescent mental health outpatient setting.
Topics: Humans; Adolescent; Female; Dialectical Behavior Therapy; Male; Self-Injurious Behavior; Suicidal Ideation; Suicide, Attempted; Borderline Personality Disorder; Treatment Outcome; Follow-Up Studies; Child
PubMed: 38877441
DOI: 10.1186/s12888-024-05876-z -
JMIR Mental Health Jun 2024Due to recent advances in artificial intelligence (AI), large language models (LLMs) have emerged as a powerful tool for a variety of language related tasks, including...
BACKGROUND
Due to recent advances in artificial intelligence (AI), large language models (LLMs) have emerged as a powerful tool for a variety of language related tasks, including sentiment analysis, and summarization of provider-patient interactions. However, there is limited research on these models in the area of crisis prediction.
OBJECTIVE
This study aimed to evaluate the performance of LLMs, specifically OpenAI's GPT-4, in predicting current and future mental health crisis episodes using patient provided information at intake among users of a national telemental health platform.
METHODS
De-identified patient provided data was pulled from specific intake questions of the Brightside telehealth platform, including the chief complaint, for 140 patients who indicated suicidal ideation (SI), and another 120 patients who later indicated SI with a plan during the course of treatment. Similar data was pulled for 200 randomly selected patients treated during the same time period who never endorsed SI. Six senior Brightside clinicians (three psychologists and three psychiatrists) were shown patients' self-reported chief complaint and self-reported suicide attempt history but were blinded to the future course of treatment and other reported symptoms including SI. They were asked a simple yes/no question regarding their prediction of endorsement of SI with plan along with their confidence level about the prediction. GPT-4 was provided similar information and asked to answer the same questions, enabling us to directly compare the performance of AI and clinicians.
RESULTS
Overall, clinicians' average precision (0.698) was higher than GPT-4 (0.596) in identifying SI with plan at intake (n=140) vs. no SI (n=200) when using chief complaint alone, while sensitivity was higher for GPT-4 (0.621) than clinicians' average (0.529). The addition of suicide attempt history increased clinicians' average sensitivity (0.590) and precision (0.765), while increasing GPT-4 sensitivity (0.590) but decreasing GPT-4 precision (0.544). Performance decreased comparatively when predicting future SI with plan (n=120) vs no SI (n=200) with chief complaint only for clinicians (average sensitivity=0.399; average precision=0.594) and GPT-4 (sensitivity=0.458; precision=0.482). The addition of suicide attempt history increased performance comparatively for clinicians (average sensitivity=0.457; average precision=0.687) and GPT-4 (sensitivity=0.742; precision=0.476).
CONCLUSIONS
GPT-4 with a simple prompt design produced results on some metrics that approached that of a trained clinician. Additional work must be done before such a model could be piloted in a clinical setting. The model should undergo safety checks for bias given evidence that LLMs can perpetuate the biases of the underlying data they are trained upon. We believe that LLMs hold promise to augment identification of higher risk patients at intake and potentially deliver more timely care to patients.
PubMed: 38876484
DOI: 10.2196/58129 -
Social Cognitive and Affective... Jun 2024Aggression and impulsivity are linked to suicidal behaviors, but their relationship to the suicidal crisis remains unclear. This magnetoencephalography (MEG) study...
Aggression and impulsivity are linked to suicidal behaviors, but their relationship to the suicidal crisis remains unclear. This magnetoencephalography (MEG) study investigated the link between aggression, impulsivity, and resting-state MEG power and connectivity. Four risk groups were enrolled: high-risk (HR; n=14), who had a recent suicidal crisis; lower-risk (LR; n=41), who had a history of suicide attempt but no suicide attempt or ideation in the past year; clinical controls (CC; n=38), who had anxiety/mood disorders but no suicidal history; and minimal risk (MR; n=28), who had no psychiatric/suicidal history. No difference in resting-state MEG power was observed between groups. Individuals in the HR group with high self-reported aggression and impulsivity scores had reduced MEG power in regions responsible for sensory/emotion regulation versus those in the HR group with low scores. The HR group also showed downregulated bidirectional glutamatergic feedback between the precuneus (PRE) and insula (INS) compared to the LR, CC, and MR groups. High self-reported impulsivity was linked to reduced PRE to INS feedback, whereas high risk-taking impulsivity upregulated INS to postcentral gyrus (PCG) and PCG to INS feedback. These preliminary findings suggest that glutamatergic-mediated sensory and emotion-regulation processes may function as potential suicide risk markers.
PubMed: 38874947
DOI: 10.1093/scan/nsae041 -
JAMA Network Open Jun 2024Given the high rates of burnout and associated negative mental health outcomes (eg, depression, suicidal ideation, substance abuse) among medical students and...
IMPORTANCE
Given the high rates of burnout and associated negative mental health outcomes (eg, depression, suicidal ideation, substance abuse) among medical students and physicians, it is imperative to identify strategies for supporting the future health workforce, particularly when considering trends indicating a future shortage of physicians. Understanding the associations of medical school students' learning mindsets (eg, growth mindset, purpose and relevance, and sense of belonging) with indicators of well-being (eg, flourishing) and ill-being (eg, burnout) could provide a foundation for future research to consider when attempting to combat the negative mental health trends among medical students and physicians.
OBJECTIVES
To understand the associations of medical school students' learning mindsets (ie, their beliefs about themselves as learners and their learning environment) with critical student health outcomes (ie, well-being and ill-being).
DESIGN, SETTING, AND PARTICIPANTS
This survey study used a nationally representative sample of first-year osteopathic medical school students across the US who responded to a survey of learning mindsets as well as measures of well-being and ill-being in fall 2022. Data were analyzed from January to April 2024.
MAIN OUTCOMES AND MEASURES
Learning mindsets were categorized as growth mindset, purpose and relevance, and sense of belonging. Well-being was categorized as flourishing and resilience, and ill-being was categorized as burnout and psychological symptoms. Outcomes were regressed on learning mindset and demographics variables, and interactions of demographic variables and learning mindsets were assessed.
RESULTS
A total of 7839 students were surveyed, and 6622 students (mean [SD] age, 25.05 [3.20]; 3678 [55.5%] women) responded and were included in analyses. The 3 learning mindsets were significantly associated with flourishing (growth mindset: b = 0.34; 95% CI, 0.23 to 0.45; P < .001; purpose and relevance: b = 2.02; 95% CI, 1.83 to 2.20; P < .001; belonging uncertainty: b = -0.98; 95% CI, -1.08 to -0.89; P < .001) and resilience (growth mindset: b = 0.28; 95% CI, 0.17 to 0.40; P < .001; purpose and relevance: b = 1.62; 95% CI, 1.43 to 1.82; P < .001; belonging uncertainty: b = -1.50; 95% CI, -1.60 to -1.40; P < .001) well-being outcomes and burnout (growth mindset: b = -0.09; 95% CI, -0.11 to -0.07; P < .001; purpose and relevance: b = -0.29; 95% CI, -0.32 to -0.25; P < .001; belonging uncertainty: b = 0.28; 95% CI, 0.26 to 0.30; P < .001) and psychological symptoms (growth mindset: b = -0.22; 95% CI, -0.30 to -0.14; P < .001; purpose and relevance: b = -0.51; 95% CI, -0.64 to -0.38; P < .001; belonging uncertainty: b = 1.33; 95% CI, 1.27 to 1.40; P < .001) ill-being outcomes, even when controlling for important demographic characteristics (eg, race and ethnicity, gender identity, age). Furthermore, several significant interactions indicated that these learning mindsets may be particularly salient for students from historically marginalized communities: there was a significant interaction between growth mindset and race and ethnicity (b = 0.58; 95% CI, 0.08 to 1.09, P = .02), such that growth mindset was more strongly associated with flourishing among American Indian or Alaska Native, Black, Latine, or Native Hawaiian students.
CONCLUSIONS AND RELEVANCE
These findings suggest that identifying strategies for supporting students' learning mindsets may be an effective way to support medical student well-being and reduce ill-being, particularly among students from historically marginalized backgrounds.
Topics: Humans; Students, Medical; Female; Male; Burnout, Professional; Adult; Osteopathic Medicine; Young Adult; United States; Surveys and Questionnaires; Learning; Mental Health
PubMed: 38874920
DOI: 10.1001/jamanetworkopen.2024.18090