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PloS One 2024Mental disorders account for nine percent of the overall global burden of disease and are among the top ten leading causes of disability. Mental illness and tuberculosis...
BACKGROUND
Mental disorders account for nine percent of the overall global burden of disease and are among the top ten leading causes of disability. Mental illness and tuberculosis share risk factors including poverty, overcrowding, stigma, poor nutrition, substance use and retro-viral disease co-infection. Presence of mental illness in tuberculosis delays health-seeking, affects drug adherence, increases cost of treatment, prolongs disease duration, lowers quality of life, and increases mortality. Early diagnosis, linkage, and treatment of psychiatric morbidity among patients with tuberculosis would improve outcomes for both. This study thus aimed to determine the prevalence and factors associated with psychiatric morbidity among patients on treatment for tuberculosis at a low- middle- income country.
METHODS
A cross-sectional study carried out at the tuberculosis clinic at Moi Teaching and Referral Hospital (MTRH), Eldoret, Kenya. 367 participants on TB treatment were interviewed using Mini-International Neuropsychiatric Interview (MINI) tool. The key outcome was presence of psychiatric illness. Pearson's Chi-square and logistic regression were used to assess relationships at bivariate and multivariate level respectively.
RESULTS
Majority of the respondents were male (61.3%) and overall median age was 33 years. About half of participants (48.5%) had at least one psychiatric illness. Common disorders were alcohol use disorder (30.3%), depression (23.4%), substance use disorder (12.8%) and suicidality (8.2%). Odds of 'any psychiatric illness' were increased by being male (aOR = 1.92; P = 0.04), being separated or divorced (aOR = 6.86; P = 0.002), using alcohol (aOR = 3.2; P<0.001), having been previously treated for tuberculosis (aOR = 2.76; P = 0.01), having other medical comorbidities (aOR = 4.2; P = 0.004) and family history of mental illness (aOR = 2.4; P = 0.049).
CONCLUSION
Almost half of the patients on treatment for tuberculosis had at least one psychiatric illness. Introduction of protocols for screening for mental illness and integration of mental health services with tuberculosis care would aid prompt diagnosis, referral, and quality of care.
Topics: Humans; Male; Kenya; Female; Adult; Tuberculosis; Mental Disorders; Tertiary Care Centers; Cross-Sectional Studies; Middle Aged; Young Adult; Prevalence; Adolescent; Risk Factors
PubMed: 38748751
DOI: 10.1371/journal.pone.0302744 -
Brazilian Oral Research 2024The aim of this cross-sectional study was to investigate the associations between oral health-related quality of life (OHRQoL) and socioeconomic and demographic...
The aim of this cross-sectional study was to investigate the associations between oral health-related quality of life (OHRQoL) and socioeconomic and demographic variables, suicidal ideation, self-perception of oral health, and experiences of dental care in the Brazilian adult LGBTIQ+ population. A sample of 464 participants completed self-administered online questionnaires and provided information for OHRQoL assessment, using the OHIP-14 instrument at three hierarchical levels of explanatory variables: LGBTIQ+ identities; socioeconomic and demographic data and existential suffering; and self-perception of oral health and experience of dental care. The collected data were fitted to hierarchical multiple logistic regression models, in which the associations between each independent variable with the OHIP-14 prevalence outcome were analyzed. The OHIP-14-prevalence index showed that 33.2% of the participants answered 'frequently' or 'always', and the highest frequencies were obtained for the psychological discomfort (27.8%), psychological disability (18.3%), and physical pain (17.5%) domains. According to the adjusted final model, LGBTIQ+ individuals who were more likely to have their OHRQoL affected were those who were indifferent (OR=3.21; 95% CI: 1.26-8.20), dissatisfied (OR=10.45; 95% CI: 3.86-28.26), or very dissatisfied (OR=53.93; 95% CI: 12.12-239.93) with their oral health status, and also those who had or have difficulty accessing dental treatment (OR=2.06; 95% CI: 1.24-3.41) (p<0.05). It may be concluded that the OHRQoL of the investigated Brazilian LGBTIQ+ population showed associations with individual aspects and with access to dental services.
Topics: Humans; Quality of Life; Oral Health; Female; Male; Cross-Sectional Studies; Adult; Brazil; Middle Aged; Socioeconomic Factors; Young Adult; Surveys and Questionnaires; Self Concept; Dental Care; Suicidal Ideation; Adolescent; Logistic Models; Aged
PubMed: 38747828
DOI: 10.1590/1807-3107bor-2024.vol38.0041 -
Frontiers in Psychology 2024Persistent Tic Disorders such as Tourette Syndrome are common neurodevelopmental disorders that are highly stigmatized. Many individuals with Persistent Tic Disorders...
INTRODUCTION
Persistent Tic Disorders such as Tourette Syndrome are common neurodevelopmental disorders that are highly stigmatized. Many individuals with Persistent Tic Disorders experience peer rejection, loneliness, and self-stigma. Experiencing stigmatization during childhood can influence the persistence of moderate-to-severe tics later in life. Additionally, these factors have been associated with increased suicidal ideation, suicide attempts, and psychiatric symptom severity. There is a need for interventions to reduce stigma and stigmatization in Persistent Tic Disorders. Before developing cost-effective interventions to mitigate stigma's profound downstream health impacts, a reliable measure of stigmatization must be created. The overarching goal of this research is to develop and validate the Tourette Discrimination-Stigmatization (TD-STIGMA) Scale.
METHODS
This paper presents the study protocol for developing and validating the TD-STIGMA Scale. The study is designed as a mixed methods study to develop the TD-STIGMA scale and evaluate its psychometric properties. The study uses a phased approach: (1) collection of narrative and thematic content data through in-depth qualitative interviews of stakeholders, (2) development of a novel TD-STIGMA self-report scale using the Delphi Method based on these results, and (3) completion of analyses to determine the scale's psychometric properties (confirmatory factor analysis, convergent, known-group, criterion validity, and test-retest reliability).
DISCUSSION
This project will result in a personalized approach to stigma measurement about youth and young adults with Persistent Tic Disorders, which to date does not exist. There are several limitations. Comorbidities or spiritual or cultural beliefs may affect perceptions of stigma and are not directly assessed in this study. We will utilize institutional resources for community outreach to purposefully sample underrepresented minorities who may be at disproportionate risk of adverse outcomes. However, this may not be fully representative of the generalized tic population. The study team will be purposeful in maintaining participant engagement for study retention. Lastly, participants from a tertiary referral center may not fully represent the generalized tic community. However, we hope our broad recruitment strategy and virtual study visits will facilitate a diverse and inclusive sampling of the patient population.
PubMed: 38746922
DOI: 10.3389/fpsyg.2024.1381063 -
Journal of Neurosciences in Rural... 2024Agriculture is associated with various physical and mental health risks. There has been growing concern about the psychological hazards associated with farming including...
OBJECTIVES
Agriculture is associated with various physical and mental health risks. There has been growing concern about the psychological hazards associated with farming including high stress levels, depression, anxiety, and increasing rates of suicide. To bolster resilience and overall survival within the farmers, it is imperative to gain a comprehensive understanding of the protective factors that contribute to mental and psychological well-being.
MATERIALS AND METHODS
The study followed an explorative research design and used purposive sampling to select samples from Chikkaballapur District in Karnataka. Nine farmers were interviewed based on inclusion and exclusion criteria. The interview schedule was prepared based on the literature review. Experts in the field did content and face validation. The transcribed data were coded using the free version of QDA Miner. The thematic analysis approach was used for data analysis.
RESULTS
Three broader themes and 15 sub-themes emerged: (1) Personal protective factors: feeling of autonomy, purpose in life, passion for work, problem-solving skills, positive mindset and building resilience, learning new skills, and spiritual and religious beliefs; (2) social protective factors: friends and peer group, belongingness, family, and social engagements; and (3) environmental protective factors: lifestyle and being physically active, rural environment, government/institutional support, and recognition in the society.
CONCLUSION
The study successfully emerged three overarching protective factors that farmers perceived as significant for their mental health and well-being, entitled personal, social, and environmental. The study findings provide valuable insights for social work practitioners, guiding them in developing interventions and strategies to support the mental health and well-being of the farming population.
PubMed: 38746520
DOI: 10.25259/JNRP_403_2023 -
Research Square Apr 2024Despite recognizing the critical association between social and behavioral determinants of health (SBDH) and suicide risk, SBDHs from unstructured electronic health...
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.
PubMed: 38746180
DOI: 10.21203/rs.3.rs-4290732/v1 -
Frontiers in Psychiatry 2024X (previously known as "Twitter") serves as a platform for open discussions on mental health, providing an avenue for scrutinizing public perspectives regarding...
BACKGROUND
X (previously known as "Twitter") serves as a platform for open discussions on mental health, providing an avenue for scrutinizing public perspectives regarding psychiatry, psychology and their associated professionals.
OBJECTIVE
To analyze the conversations happening on X about psychiatrists, psychologists, and their respective disciplines to understand how the public perception of these professionals and specialties has evolved over the last 15 years.
METHODS
We collected and analyzed all tweets posted in English or Spanish between 2007 and 2023 referring to psychiatry, psychology, neurology, mental health, psychiatrist, psychologist, or neurologist using advance topic modelling and sentiment analysis.
RESULTS
A total of 403,767 tweets were analyzed, 155,217 (38%) were in English and 248,550 (62%) in Spanish. Tweets about mental health and mental health professionals and disciplines showed a consistent volume between 2011 and 2016, followed by a gradual increase from 2016 through 2022. The proportion of tweets discussing mental health doubled from 2016 to 2022, increasing from 20% to 67% in Spanish and from 15% to 45% in English. Several differences were observed on the volume of tweets overtime depending on the language they were written. Users associated each term with varied topics, such as seeking for help and recommendation for therapy, self-help resources, medication and side effects, suicide prevention, mental health in times of crisis, among others. The number of tweets mentioning these topics increased by 5-10% from 2016 to 2022, indicating a growing interest among the population. Emotional analysis showed most of the topics were associated with fear and anger.
CONCLUSION
The increasing trend in discussions about mental health and the related professionals and disciplines over time may signify an elevated collective awareness of mental health. Gaining insights into the topics around these matters and user's corresponding emotions towards them presents an opportunity to combat the stigma surrounding mental health more effectively.
PubMed: 38745783
DOI: 10.3389/fpsyt.2024.1369579 -
Scientific Reports May 2024This study aimed to determine the degree of family relations and associated socio-demographics characteristics, clinical/physical and mental disorders in type 2 diabetes...
This study aimed to determine the degree of family relations and associated socio-demographics characteristics, clinical/physical and mental disorders in type 2 diabetes mellitus in a Kenyan diabetes clinic. This study was part of a large multicentre study whose protocol and results had been published. It took place at the outpatient diabetes clinic at a County Teaching and Referral Hospital in South East Kenya involving 182 participants. We used a socio-demographic questionnaire, the Hamilton Depression (HAM-D) and PHQ-9 rating scales for depression, the MINI International Neuropsychiatric Interview (MINI; V5 or V6) for DSM-5 diagnoses, the WHO-5 Well-being scale and Problem Areas in Diabetes Scale (PAID). We extracted from the notes all physical conditions. We enquired about similar conditions in 1st and 2nd degree relatives. Descriptive, Chi-square test, Fisher's exact test, one way ANOVA, and Multinomial logistic regression analysis were conducted to test achievements of our specific aims. Of the 182 patients who participated in the study, 45.1% (82/182) reported a family history of diabetes. Conditions significantly (p < 0.05) associated with a degree of family history of diabetes were retinopathy, duration of diabetes (years), hypertension, and depressive disorder. On average 11.5% (21/182) scored severe depression (≥ 10) on PHQ-9 and 85.2% (115/182) scored good well-being (≥ 13 points). All DSM-5 psychiatric conditions were found in the 182 patients in varying prevalence regardless of relations. In addition, amongst the 182 patients, the highest prevalence was poor well-being on the WHO quality of life tool. This was followed by post-traumatic disorders (current), suicidality, and psychotic lifetime on DSM-5. The least prevalent on DSM-5 was eating disorders. Some type 2 diabetes mellitus physical disorders and depression have increased incidence in closely related patients. Overall, for all the patients, the prevalence of all DSM-5 diagnoses varied from 0.5 to 9.9%.
Topics: Humans; Diabetes Mellitus, Type 2; Kenya; Male; Female; Middle Aged; Biomarkers; Adult; Aged; Mental Disorders; Depression
PubMed: 38745063
DOI: 10.1038/s41598-024-61984-6 -
PloS One 2024Suicide-related media content has preventive or harmful effects depending on the specific content. Proactive media screening for suicide prevention is hampered by the...
Suicide-related media content has preventive or harmful effects depending on the specific content. Proactive media screening for suicide prevention is hampered by the scarcity of machine learning approaches to detect specific characteristics in news reports. This study applied machine learning to label large quantities of broadcast (TV and radio) media data according to media recommendations reporting suicide. We manually labeled 2519 English transcripts from 44 broadcast sources in Oregon and Washington, USA, published between April 2019 and March 2020. We conducted a content analysis of media reports regarding content characteristics. We trained a benchmark of machine learning models including a majority classifier, approaches based on word frequency (TF-IDF with a linear SVM) and a deep learning model (BERT). We applied these models to a selection of more simple (e.g., focus on a suicide death), and subsequently to putatively more complex tasks (e.g., determining the main focus of a text from 14 categories). Tf-idf with SVM and BERT were clearly better than the naive majority classifier for all characteristics. In a test dataset not used during model training, F1-scores (i.e., the harmonic mean of precision and recall) ranged from 0.90 for celebrity suicide down to 0.58 for the identification of the main focus of the media item. Model performance depended strongly on the number of training samples available, and much less on assumed difficulty of the classification task. This study demonstrates that machine learning models can achieve very satisfactory results for classifying suicide-related broadcast media content, including multi-class characteristics, as long as enough training samples are available. The developed models enable future large-scale screening and investigations of broadcast media.
Topics: Humans; Machine Learning; Mass Media; Suicide; Suicide Prevention; Oregon; Washington; Deep Learning
PubMed: 38743759
DOI: 10.1371/journal.pone.0300917 -
Frontiers in Psychiatry 2024Borderline personality disorder (BPD) is diagnosed in 10-30% of patients with major depressive disorder (MDD), and the frequency of MDD among individuals with BPD... (Review)
Review
Borderline personality disorder (BPD) is diagnosed in 10-30% of patients with major depressive disorder (MDD), and the frequency of MDD among individuals with BPD reaches over 80%. The comorbidity of MDD and BPD is associated with more severe depressive symptoms and functional impairment, higher risk of treatment resistance and increased suicidality. The effectiveness of ketamine usage in treatment resistant depression (TRD) has been demonstrated in numerous studies. In most of these studies, individuals with BPD were not excluded, thus given the high co-occurrence of these disorders, it is possible that the beneficial effects of ketamine also extend to the subpopulation with comorbid TRD and BPD. However, no protocols were developed that would account for comorbidity. Moreover, psychotherapeutic interventions, which may be crucial for achieving a lasting therapeutic effect in TRD and BPD comorbidity, were not included. In the article, we discuss the results of a small number of existing studies and case reports on the use of ketamine in depressive disorders with comorbid BPD. We elucidate how, at the molecular and brain network levels, ketamine can impact the neurobiology and symptoms of BPD. Furthermore, we explore whether ketamine-induced neuroplasticity, augmented by psychotherapy, could be of use in alleviating core BPD-related symptoms such as emotional dysregulation, self-identity disturbances and self-harming behaviors. We also discuss the potential of ketamine-assisted psychotherapy (KAP) in BPD treatment. As there is no standard approach to the application of ketamine or KAP in individuals with comorbid TRD and BPD, we consider further research in the field as imperative. The priorities should include development of dedicated protocols, distinguishing subpopulations that may benefit most from such treatment and investigating factors that may influence its effectiveness and safety.
PubMed: 38742125
DOI: 10.3389/fpsyt.2024.1398859 -
Frontiers in Public Health 2024Intimate partner violence (IPV) is a risk factor for homicides and suicides. As poverty is both a predictor and a consequence of IPV, interventions that alleviate...
INTRODUCTION
Intimate partner violence (IPV) is a risk factor for homicides and suicides. As poverty is both a predictor and a consequence of IPV, interventions that alleviate poverty-related stressors could mitigate IPV-related harms. Temporary Assistance for Needy Families (TANF), a monthly cash assistance program, is one such potential intervention. In the state of Georgia, the TANF diversion program, which provides a non-recurrent lump-sum payment to deter individuals from monthly TANF benefits, is an understudied component of TANF that may influence the effectiveness of state TANF programs in supporting IPV survivors.
AIM
This study quantifies and qualifies the role of Georgia's TANF diversion program in shaping IPV-related mortality.
METHODS
This study relies on a mixed-methods sequential explanatory design. Using data from the Georgia Violent Death Reporting System (GA-VDRS), an interrupted time series analysis was conducted to estimate the effect of TANF diversion on IPV-related homicides and suicides. Semi-structured interviews were then administered with TANF policy experts and advocates, welfare caseworkers, and benefit recipients ( = 20) to contextualize the quantitative findings.
RESULTS
The interrupted time series analysis revealed three fewer IPV-related deaths per month after implementing TANF diversion, compared to pre-diversion forecasts (coefficient = -3.003, 95%CI [-5.474, -0.532]). However, the qualitative interviews illustrated three themes regarding TANF diversion: (1) it is a "band-aid" solution to the access barriers associated with TANF, (2) it provides short-term relief to recipients making hard choices, and (3) its limitations reveal avenues for policy change.
DISCUSSION
While diversion has the potential to reduce deaths from IPV, it may be an insufficient means of mitigating the poverty-related contributors to IPV harms. Its limitations unveil the need for improved programs to better support IPV survivors.
Topics: Humans; Intimate Partner Violence; Georgia; Female; Adult; Male; Homicide; Poverty; Suicide; Middle Aged; Interrupted Time Series Analysis; Young Adult
PubMed: 38741914
DOI: 10.3389/fpubh.2024.1326467