Mental Health Screening Tool Research Articles

Validity and Reliability of the Transcultural Arabic Adaptation of the Food-Mood Questionnaire Among College Students

A culturally adapted screening tool for mental health and dietary quality is needed to address the significant challenges in mental health and suboptimal diets among college students. The purpose of this study was to validate the Food-Mood Questionnaire (FMQ), originally developed in English, among Arab college students. Students attending the University of Sharjah were invited to complete the questionnaire (n = 224). Two weeks later, participants completed the same questionnaire again. An exploratory factor analysis revealed three main factors: mental distress, prudent and Western diets. Cronbach’s α was 0.86, 0.72, and 0.531 for the three factors, respectively. The Intra-Class-Correlation (ICC) for the test–retest reliability ranged from 0.67 to 0.87 (p < 0.001). The findings of this study showed that the Arabic version of the FMQ is a valid and reliable tool and could be used to screen for the mental distress and dietary intake of college students in the Arab world.

Systematic Review: Mental Health Screening Tools for Collegiate Athletes

The mental health of college athletes has become a priority for the National Collegiate Athletic Association (NCAA) and for athletic departments across numerous Colleges and Universities. Sport social work has limited research exploring empirical evidence on the use and effectiveness of specific mental health assessments for the population of college athletes. College athletes experience a plethora of stressors and mental health concerns that will require the use of mental health assessments to determine the appropriate level of care. A systematic review was conducted utilizing the Cochrane Handbook of Systematic Reviews for Interventions. An initial search of sport social work literature yielded 1,199 articles. After the application of inclusion and exclusion criteria, five articles remained that met the full criteria for inclusion. Results indicate there are mental health assessment tools that have empirical data supporting their use with college athletes. Although appropriate mental health screening tools were identified, future research is necessary to expand the breadth of empirical data that supports additional mental health assessment tools for specific use with the population of college athletes. These tools should include a positive psychology component to reduce the stigma surrounding mental health care in the college athlete population and increase their likeliness to engage in mental health services.

Depression Among Resettled Karen Refugees in the United States: An Exploratory Pilot Study

Due to prolonged ethnic and religious persecution, the Karen have endured numerous traumatic experiences including systematic violence and mistreatment, resulting in long-term psychological sequelae. This study examines the prevalence of depression among Karen refugees from Burma ( N = 37) using a culturally grounded mental health screening tool within a primary health care community clinic in the southern United States. A total of 48.60% met the clinical cutoff for depression. The researchers identified three themes: (a) manifestations of depression, (b) depression linked to post-migration stressors, and (c) importance of support and education about depression. Family service organizations and resettlement agencies can assist Karen refugees by connecting them with social and tangible support, as well as providing education about depression. Future research should include Karen refugees from various parts of the United States to improve generalizability.

61 The HEADS-ED under 6: Validation of a mental health and developmental screening and triage tool

Abstract Background The HEADS-ED screening and triage tool was developed for children 6 years to young adults as a communimetric mental health (MH) and addictions screener to help clinicians identify and communicate areas of need and recommended clinical care. Few clinician-administered tools identify both MH and developmental needs in young children under 6. From a review of milestone tools and in consultation with paediatricians, psychiatrists, and family physicians, the HEADS-ED Under 6 is a MH and developmental screening and triage tool that was developed to screen and flag functional impairment and action required in several areas, including: Home & caregivers, Eating & sleeping, Activities & peers, Development /speech/language/motor, Safety, Emotions & behaviours and Discharge & current resources (see http://heads-ed.com for more background and access to both tools available in English and French). Objectives Our objectives were to examine: 1) feasibility of implementing the new HEADS-ED Under 6 screening and triage tool in community and hospital settings, 2) clinical utility of the tool to assist with clinical decision making, and 3) validity of the tool against a comprehensive assessment. Design/Methods We conducted two implementation and validation studies to examine uptake of the tool and how the tool assists in clinical referral decisions to more specialized and intensive services at 2 sites. For our initial validation study, we piloted and validated the tool at a community MH agency in Ontario for children under the age of 6 from November 2019- March 2021 (N=566). For our cross-validation study, we examined how the tool was implemented within a regional coordinated access service housed in a paediatric hospital in Ontario from June 2021- August 2023 (N=589). Results For our initial validation study, the HEADS-ED Under 6 was widely used by intake workers (95%, N = 536/566) to communicate children’s MH and developmental needs (Figure 1) and assisted in recommending services of varying intensity. The tool showed good concordance with the InterRAI Early Years assessment in similar domains requiring no action (61.1% to 81.6%), requiring action but not immediate (49.2% to 88.0%) and requiring immediate action (66.7% to 100%) for children under 4 years old (p's <.001). Three clinical domains (Eating & sleeping, Development/speech/language/motor, and Emotions & behaviours) also independently predicted an urgent care recommendation (p's < .001). For our cross-validation study, the tool was used for all 589 intake appointments, and 96.4% (N = 568/589) had a level of need documented. HEADS-ED Under 6 clinical domains (.24-.38) and total scores (.52) were significantly correlated with level of need (p<.001). Higher HEADS-ED Under 6 total scores helped intake workers decide on more intense services based on level of need (p<.001; Figure 2). ROC analyses (AUC = .807, SE = 68.5% sensitivity, 79.5% specificity) confirmed a total score of 6 or above helped triage to more targeted and intense services. Conclusion The HEADS-ED Under 6 is a brief, straight-forward, and valid screening and triage tool that can be used by intake workers, physicians, and paediatricians to guide their interview in several areas of MH and development, communicate the severity of the child’s MH and developmental needs, and assist with determining level of need for services. When a HEADS-ED Under 6 total score reaches ≥6, clinicians should advocate for more intensive services when making MH service referrals.

Partnering for Progress: Lessons Learned From Mental Health Assessment for Youth Living With HIV in India Through Community-Based Participatory Research

Youth living with HIV (YLHIV) face diverse mental health challenges necessitating interventions informed by their lived experiences. Failure to do so can perpetuate a self-reinforcing cycle of misaligned and ineffective support, further exacerbating existing vulnerabilities. This study directly addresses this gap by using a community-based participatory research (CBPR) approach to empower YLHIV in India to address their mental health challenges. YLHIV actively participated in adapting and implementing a culturally responsive mental health screening program. The study, incorporating CBPR principles at every step aimed to identify practical methods for integrating YLHIV voices in research, and showcase the value of YLHIV participation in co-creating and implementing impactful interventions. Six youth investigators aged 18-24, born with HIV and residing in southern Indian states underwent certification in human subjects’ protection and training in mental health screening and survey administration techniques. They actively shaped the research process by culturally adapting standardized mental health screening tools (PHQ-9, GAD-7) through iterative discussions with experts, drawing on their own perspectives. Following field assessments of the mental health screening tools among their peers, they documented their reflections in surveys and written essays. Youth investigators’ involvement improved the research process by optimizing tools, combating stigma, and facilitating reliable data collection. Beyond data collection, the youth investigators’ participation significantly boosted their own knowledge, self-confidence, and research skills. This study serves as an illustrative model of CBPR in mental health research among YLHIV, highlighting the importance of interactive training, continuous feedback mechanisms, and respectful youth engagement in fostering impactful research that can inform tailored sustainable interventions.

Disparities in mental health screening for veteran women with a new diagnosis of breast cancer.

222 Background: Compared to the general population, mental health disorders, including depression, are higher for Veteran women. Breast cancer (BC) is the most commonly diagnosed cancer in this population and up to 50% of women will experience depressive symptoms after diagnosis, associated with poor prognosis and survival. An increasing number of Veteran women live in rural areas, where access to behavioral health care may be limited. This study sought to evaluate rural disparities in mental health screening and follow-up evaluation after a new BC diagnosis. Methods: Women Veterans with a new BC diagnosis were identified between 2017 and 2021. Data for mental health screenings [Patient Health Questionnaire (PHQ)-2, PHQ-9, General Anxiety Disorder-7] were collected subsequent to the first BC diagnosis. Rurality was defined per the USDA Rural-Urban Commuting Area (RUCA) codes framework to determine rurality based on population density and commuting patterns. Data were abstracted from several large VA and non-VA datasets, including the Corporate Data Warehouse (CDW) Outpatient files, non-VA Care Medical and Pharmacy System files, Program Integrity Tool, and VA Informatics and Computing Infrastructure for Oncology. Rurality data was specified using CDW designations combined with ZIP-code-level USDA RUCA information. All categorical variables were analyzed using chi-square tests. Means were tested using t-tests. Results: 14,225 Veteran women with a new BC diagnosis were identified. The mean age was 63.4 (SD 11.7). The most common documented race was White (30.6%), followed by Black (15.7%). 59.6% lived in an urban setting as opposed to rural setting (40.4%). In the entire population, only 14% had a mental health screening within 3 months of a cancer diagnosis. Veteran women living in an urban setting were more likely to be screened compared to those living in a rural setting (17.4% vs 9.2%, p < 0.001). For women screened within 3 months, most screened negative, regardless of rurality (76.1% rural, 75.7% urban). Of women who had a positive mental health screen within 3 months, only approximately one-third (31.8% rural, 34.2% urban) had additional screening regardless of rurality. However, for those with a negative initial screen, urban Veterans were more likely to have any additional screening (17% vs 10.2%, p = 0.001). PHQ-2 was the most common mental health screening tool used (73.8%) followed by a combination of PHQ-9 and GAD-7 (9.6%). Conclusions: Mental health screening within 3 months of breast cancer diagnosis is low for Veteran women. There is a significant difference in screening between rural and urban populations. It is critical to both improve mental health screening overall in this population and bridge the disparity gap between screening in rural and urban Veteran women. This may impact not only mental health but also breast cancer outcomes during the period encompassing treatment and survivorship.

Diagnostic Accuracy of Mental Health Screening Tools After Mild Traumatic Brain Injury.

Mental health disorders are common after mild traumatic brain injury (mTBI) and likely exacerbate postconcussive symptoms and disability. Early detection could improve clinical outcomes, but the accuracy of mental health screening tools in this population has not been well established. To determine the diagnostic accuracy of the Patient Health Questionnaire-9 (PHQ-9), Generalizaed Anxiety Disorder-7 (GAD-7), and Primary Care PTSD (Posttramatic Stress Disorder) Screen for Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) (PC-PTSD-5) in adults with mTBI. This diagnostic study was performed as a secondary analysis of a cluster randomized clinical trial. Self-report mental health screening tools (PHQ-9, GAD-7, and PC-PTSD-5) were administered online 12 weeks after mTBI and compared against a structured psychodiagnostic interview (Mini-International Neuropsychiatric Interview for DSM-5 (MINI) over videoconference at the same time. Adults with mTBI (N = 537) were recruited from February 1, 2021, to October 25, 2022. Presence of a major depressive episode, anxiety disorders, and PTSD were determined by a blinded assessor with the MINI. Diagnostic accuracy statistics were derived for the PHQ-9, GAD-7, and PC-PTSD-5. Findings were disaggregated for participants with and without persistent postconcussion symptoms (PPCS) by International and Statistical Classification of Diseases, Tenth Revision criteria. Data were available for 499 of 537 trial participants, 278 (55.7%) of whom were female; the mean (SD) age was 38.8 (13.9) years. Each screening questionnaire had strong diagnostic accuracy in the overall sample for optimal cut points (area under the curve [AUC], ≥0.80; sensitivity, 0.55-0.94; specificity, 0.64-0.94). The AUC (difference of 0.01-0.13) and specificity (difference, 5-65 percentage points) were lower in those with PPCS present compared with PPCS absent, but the prevalence of at least 1 mental health disorder was 3 to 5 times higher in patients with PPCS present. The GAD-7 had slightly better performance than the PC-PTSD-5 for detecting PTSD (AUC, 0.85 [95% CI, 0.80-0.89] vs 0.80 [95% CI, 0.72-0.87]). The optimal cutoff on the PHQ-9 was 5 or more symptoms experienced on more than half of days; on the GAD-7, a total score of at least 7. The findings of this diagnostic study suggest that the PHQ-9, GAD-7 and PC-PTSD-5 accurately screen for mental health disorders in patients with mTBI. Future research should corroborate optimal test cutoffs for this population.

An exploratory two-part study of behavioral health service needs of women in jails.

Research shows that jailed women have disproportionately elevated rates of behavioral health conditions, including serious mental illness and substance use disorders; however, jails have not been able to effectively address these needs. There is a research gap in our understanding of mental health screening tools, linkages to care, and behavioral health service utilization for jailed women, specifically across multiple jails situated in urban and rural contexts. This two-part study compares the behavioral health needs and service utilization of women and men in eight Michigan jails. Results show significant differences in women's and men's behavioral health needs, including proportions of severe mental illness, alcohol and drug misuse, opioid preference, concerns for withdrawal, and length of jail stays. Mental health outcomes show significant gendered differences in advocacy for early release and jail- and post-jail treatment engagement. These findings highlight the need for jails to better assess behavioral health needs among women and may inform interventions aimed at improving women's (and men's) experiences while jailed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The state of mental health among Ebola virus disease survivors through a cross-sectional study in Sierra Leone

BackgroundThe West African Ebola virus disease (EVD) epidemic resulted in >28 000 disease cases and >11 000 fatalities. The unprecedented number of survivors from this epidemic has raised questions about...

Digital Phenotypes for Early Detection of Internet Gaming Disorder in Adolescent Students: Explorative Data-Driven Study.

Limited awareness, social stigma, and access to mental health professionals hinder early detection and intervention of internet gaming disorder (IGD), which has emerged as a significant concern among young individuals. Prevalence estimates vary between 0.7% and 15.6%, and its recognition in the International Classification of Diseases, 11th Revision and Diagnostic and Statistical Manual of Mental Disorders, 5th Edition underscores its impact on academic functioning, social isolation, and mental health challenges. This study aimed to uncover digital phenotypes for the early detection of IGD among adolescents in learning settings. By leveraging sensor data collected from student tablets, the overarching objective is to incorporate these digital indicators into daily school activities to establish these markers as a mental health screening tool, facilitating the early identification and intervention for IGD cases. A total of 168 voluntary participants were engaged, consisting of 85 students with IGD and 83 students without IGD. There were 53% (89/168) female and 47% (79/168) male individuals, all within the age range of 13-14 years. The individual students learned their Korean literature and mathematics lessons on their personal tablets, with sensor data being automatically collected. Multiple regression with bootstrapping and multivariate ANOVA were used, prioritizing interpretability over predictability, for cross-validation purposes. A negative correlation between IGD Scale (IGDS) scores and learning outcomes emerged (r166=-0.15; P=.047), suggesting that higher IGDS scores were associated with lower learning outcomes. Multiple regression identified 5 key indicators linked to IGD, explaining 23% of the IGDS score variance: stroke acceleration (β=.33; P<.001), time interval between keys (β=-0.26; P=.01), word spacing (β=-0.25; P<.001), deletion (β=-0.24; P<.001), and horizontal length of strokes (β=-0.21; P=.02). Multivariate ANOVA cross-validated these findings, revealing significant differences in digital phenotypes between potential IGD and non-IGD groups. The average effect size, measured by Cohen d, across the indicators was 0.40, indicating a moderate effect. Notable distinctions included faster stroke acceleration (Cohen d=0.68; P=<.001), reduced word spacing (Cohen d=.57; P=<.001), decreased deletion behavior (Cohen d=0.33; P=.04), and longer horizontal strokes (Cohen d=0.34; P=.03) in students with potential IGD compared to their counterparts without IGD. The aggregated findings show a negative correlation between IGD and learning performance, highlighting the effectiveness of digital markers in detecting IGD. This underscores the importance of digital phenotyping in advancing mental health care within educational settings. As schools adopt a 1-device-per-student framework, digital phenotyping emerges as a promising early detection method for IGD. This shift could transform clinical approaches from reactive to proactive measures.

Development and validation of the core life activities scale.

Life activities profoundly influence well-being, mental health, and quality of life. The COVID-19 pandemic has heightened the importance of monitoring these activities for psychological and emotional health. However, existing measurement tools are limited, particularly for assessing psychological health. To address this gap, we developed and validated the Core Life Activities (CORE) scale, comprising five key factors (sleep, exercise, learning, diet, and social relationships) identified in neuroscience, cognitive psychology, and gerontology. In Study 1 (n = 1,137), exploratory and confirmatory factor analyses supported a single-factor structure with good model fit (χ2 = 6.377, df = 3, TLI = 0.992, CFI = 0.998, RMSEA = 0.031), demonstrating robust internal consistency (Cronbach's alpha = 0.776) and test-retest reliability (intraclass correlation coefficient = 0.522, p < 0.001). The CORE exhibited significant convergent validity with mental health screening tools for depressive and anxiety disorders and suicidality. Study 2 (n = 684) confirmed a significant correlation between CORE and the World Health Organisation Quality of Life Brief Version, complementing the convergent validity found in Study 1. In addition, discriminant validity was confirmed by a non-significant correlation with the COVID-19 Preventive Behavior Scale. The findings establish the CORE as a reliable and valid tool, offering a simple yet comprehensive measure for assessing core life activities with potential applications in diverse environments.

Preferences for mHealth Intervention to Address Mental Health Challenges Among Men Who Have Sex With Men in Nepal: Qualitative Study.

Men who have sex with men (MSM) are disproportionately burdened by poor mental health. Despite the increasing burden, evidence-based interventions for MSM are largely nonexistent in Nepal. This study explored mental health concerns, contributing factors, barriers to mental health care and support, and preferred interventions to improve access to and use of mental health support services among MSM in Nepal. We conducted focus groups with MSM in Kathmandu, Nepal, in January 2023. In total, 28 participants took part in 5 focus group sessions. Participants discussed several topics related to the mental health issues they experienced, factors contributing to these issues, and their suggestions for potential interventions to address existing barriers. The discussions were recorded, transcribed, and analyzed using Dedoose (version 9.0.54; SocioCultural Research Consultants, LLC) software for thematic analysis. Participants reported substantial mental health problems, including anxiety, depression, suicidal ideation, and behaviors. Contributing factors included family rejection, isolation, bullying, stigma, discrimination, and fear of HIV and other sexually transmitted infections. Barriers to accessing services included cost, lack of lesbian, gay, bisexual, transgender, intersex, queer, and asexual (LGBTIQA+)-friendly providers, and the stigma associated with mental health and sexuality. Participants suggested a smartphone app with features such as a mental health screening tool, digital consultation, helpline number, directory of LGBTIQA+-friendly providers, mental health resources, and a discussion forum for peer support as potential solutions. Participants emphasized the importance of privacy and confidentiality to ensure mobile apps are safe and accessible. The findings of this study have potential transferability to other low-resource settings facing similar challenges. Intervention developers can use these findings to design tailored mobile apps to facilitate mental health care delivery and support for MSM and other marginalized groups.

Mental Health Needs, Substance Use, and Reincarceration: Population-Level Findings From a Released Prison Cohort

This article examines the role of mental health, substance use, and comorbidity in relation to time to reincarceration. Our study included all people released from provincial correctional facilities in British Columbia, Canada, from 2012 through 2014 ( N = 13,109). Using data from a mental health screening tool, we examined the relationship between four diagnostic groups (mental health needs alone, substance use disorders alone, co-occurring disorders, and no disorders) and time to reincarceration over a 3-year follow-up period. We found that people with co-occurring disorders and substance use disorders were at substantially elevated risk of reincarceration compared with those with no disorders or mental health needs alone. Mental health needs alone was not significantly associated with reincarceration after adjusting for covariates. Correctional, health, and social services must work synergistically to improve health and criminal justice outcomes, particularly for people with substance use and co-occurring disorders.

Women’s Mental Health During COVID-19 in South Africa

Women’s mental health vulnerability, already a concern before the COVID-19 pandemic, has been exacerbated due to social isolation and restrictions on daily activities. This paper aims to follow a cohort of women from pre - to during the pandemic to determine the change in their mental health using the PHQ-2 scale (a mental health screening tool). Additionally, we investigate whether women with depressive symptoms before the pandemic suffered similarly to those without while controlling for pandemic-related factors. Primarily, we use the Coronavirus Rapid Mobile Survey dataset and apply pooled ordered logit and fixed effects ordered logit models. We find that the value of the PHQ-2 scale significantly increased during the first period of the pandemic and then eased over time. Interestingly, the behaviour of the individual scale items differed over time. This result questions the internal reliability of the scale during the pandemic and the importance of analysing the scale items individually. Furthermore, being depressed before the pandemic increases the probability of ‘depressive feelings’ and does not matter for ‘anhedonia’. Other factors increasing the probability of mental health disorders are taking care of children for 13–24 h a day and living with a person who has gone hungry. In contrast, wearing a mask and living in a grant-receiving household decreases the probability. These findings inform future researchers of the unexpected behaviour of scales and policymakers of the vulnerability of women’s mental health during unprecedented times, given their vital role in increasing the well-being of future generations.

The relationships between wanting to nap, actually napping, and depressed and anxious mood.

These studies disentangle the relationships between wanting to nap (nap desire), actually napping (nap behavior), and depressed and anxious mood. Study 1 partially replicated and extended findings connecting napping and depressed and anxious mood. Study 2 explored the distinction between nap desire and behavior using a new, larger sample and a different technique. Study 1 used a longitudinal, multimethod approach to understand napping and mood among undergraduate students in the United States (N = 104). In Study 2, a cross-sectional survey was conducted on adults over 25 in the continental United States (N = 1406), including items from the DASS-21 and questions about nap desire and behavior. Study 1 found a significant relationship between same-day napping behavior and depressed mood (M nap = 1.61, SE nap = 0.08 vs. M no nap = 1.44, SE no nap = 0.06, p = .018) but not anxious mood (p = .766). Study 2 partially replicated those findings; Analysis of Covariance (ANCOVA) showed that napping desire had a significant effect on anxious (F(1, 1291) = 6.86, p = .009, partial η2 = .005) and depressed mood (F(1, 1291) = 13.46, p < .001, partial η2 = .010), accounting for age, gender, and restedness, but napping behavior did not add to that effect. Wanting to nap is related to greater depressed and anxious mood, but actual napping did not add to that relationship. These results have implications for clinicians using sleep assessment as a screening tool for mental health and highlight the need for further research on napping motivation.

Tools for screening maternal mental health conditions in primary care settings in sub-Saharan Africa: systematic review.

In sub-Saharan Africa, pregnant and postpartum women with mental health problems are often missed in healthcare systems. To address this, a practical and simple screening tool for maternal mental health should be available to primary healthcare workers. An important step toward having such a tool is to assess the existing tools and their effectiveness in primary care settings. We systematically searched PubMed, LILAC, CINAHL, Google Scholar, African Index Medicus, HINARI, and African Journals Online from inception to 31 January 2023, without language restriction. Reference lists of retrieved articles were reviewed and experts in the field were contacted for studies not captured by our searches. All retrieved records were collated in Endnote, de-duplicated, and exported to Rayyan for screening. Study selection and data extraction were done by at least two reviewers using a pre-tested flow chart and data extraction form. Disagreements between reviewers were resolved through discussion. We contacted primary authors for missing or insufficient information and conducted a content analysis of the psychometric properties of the tools. In total, 1,181 studies were retrieved by our searches, of which 119 studies were included in this review. A total of 74 out of 119 studies (62%) were screened for depression during pregnancy and or the postpartum period. The Edinburg Postpartum Depression Scale (EPDS) and the Patient Health Questionnaire (PHQ-9) were the most commonly used tools. In total, 12 studies reported specificity and sensitivity for tools for measuring depression (EPDS, PHQ-9, and Whooley) and psychological distress [Self Report Questionnaire (SRQ) and Kessler Psychological Distress Scale (KPDS)]. The average sensitivity and specificity of the EPDS reported were 75.5 and 76.5%, respectively, at a cut-off of ≥13. The EPDS appears to be the most acceptable, adaptable, user-friendly, and effective in screening for maternal mental health conditions during pregnancy and postpartum. However, the methodological approach varied for a particular tool, and documentation on the attributes was scanty. The EPDS was the most commonly used tool and considered as most acceptable, adaptable, user-friendly, and effective. Information on the performance and psychometric properties of the vast majority of screening tools was limited. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022323558, identifier CRD42022323558 (PROSPERO).

Cluster Analysis of the Positive and Negative Indicators of Complete Mental Health State Model

&lt;p&gt;本研究目的在了解正負向指標篩檢心理健康型態集群分佈情形，是否符合Keyes主張以主觀幸福感與憂鬱症狀雙指標區分的完整心理健康模式。研究設計以心理健康BMI幸福感問卷、病人健康狀況憂鬱問卷，做為正負向指標篩檢工具，架構完整心理健康模式；以問卷調查法立意取樣739份樣本，經群集分析法作統計分群。結果能區分出有意義的四群集，包括擁有高幸福低憂鬱之完整圓滿心理健康型態的「心盛型」群集（46.28%）、不完整心理健康型態三個群集:「冷靜型」（低幸福低憂鬱之不完整心理亞健康型態，31.94%）、「奮戰型」（高幸福高憂鬱之不完整心理健康型態，11.10%）、「混沌型」（低幸福高憂鬱之不完整心理健康型態，10.69%）。低憂鬱者佔全體 78.22%，其中59.17%擁有高幸福而處於完整圓滿心理健康型態；高憂鬱者佔全體21.78%，其中50.93%擁有高幸福感。驗證了幸福感、憂鬱傾向作為正負向心理健康指標，篩檢完整或不完整心理健康型態。建議:（1）高憂鬱者參照「奮戰型」這群人高幸福感來源，藉由參與社團獲得人際支持、找到工作及收入來增加自我價值感；（2）「冷靜型」不能單看低憂鬱的心理健康篩檢，需提升「友善人際支持 正念情緒平穩 認同自我價值意義」之正向心理健康BMI幸福感，以獲得完整心理健康；（3）未來研究可依據正負向心理健康指標去發展心理健康素養能力，作為心理健檢與自主管理完整心理健康之用。&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;This study aimed to understand the cluster distribution of positive and negative indicators for screening mental health patterns and whether they conform to Keyes’ claim that positive and negative indicators should be included in the complete mental health state model. The positive mental health indicators included social, emotional, and psychological well-being, which should be measured using the Mental Health Continuum Short Form (MHC-SF). Negative indicators measure the level of symptoms of mental illness concurrently, serving as a complete assessment of whether the individual is in a healthy state of positive and negative mental health indicators. Keyes employed these to distinguish four clusters of people with four mental health modes, of which the incomplete mental health cluster was in the state. Even if they have a negative mental illness, they could have positive mental health and well-being. Although some people do not have negative mental illness, they cannot have positive mental health and well-being. Therefore, Taiwanese scholar Li corresponded to these three well-being developments and selected three operational mental health skills: &amp;quot;&amp;quot;Befriend-Mindfulness-Identity&amp;quot;&amp;quot; as the Mental Health BMI Well-Being Index questionnaire (mBMI). After using them to evaluate 739 people, it was evident that the scores of the above two questionnaires were significantly correlated, and the mBMI questionnaire total score and Questions B, M, and I could effectively predict the total score, social, emotional, and psychological well-being of the MHC-SF, with a total explanatory power of 30.3%. This test should be used as a simple screening for well-being and as a positive mental health screening tool. Additionally, a Depression Scale Screening Tool for Negative Mental Health Depression was combined to explore the complete mental health state model of Taiwanese people. &lt;/p&gt; &lt;p&gt; Therefore, in this study, the mBMI questionnaire was selected as a simple tool to measure positive mental health well-being, and the patients&amp;rsquo; health questionnaire for depression was used as a screening tool for negative mental health indicators. These are used as positive and negative indicators to test whether a complete or incomplete mental health state model fits. The questionnaire survey method was used to deliberately sample the data from 739 valid samples, and the cluster analysis method was used for statistical grouping to verify its suitability. According to the results of the aforementioned positive and negative indicators, four meaningful clusters were distinguished, including one complete and three incomplete mental health models. One cluster was &amp;quot;&amp;quot;Flourishing type&amp;quot;&amp;quot;(46.28%) of high well-being and low depression, which belonged to the complete mental health state model. The other three clusters were incomplete mental health state models. &amp;quot;&amp;quot;Fighting type&amp;quot;&amp;quot; (31.94%) of high well-being and high depression, &amp;quot;&amp;quot;Calm type&amp;quot;&amp;quot; (11.10%) of low well-being and low depression, and &amp;quot;&amp;quot;Chaos type&amp;quot;&amp;quot; (10.69%) of low well-being and high depression could fight for high well-being. It was verified that well-being and depression could be used as positive and negative mental health indicators to screen for complete or incomplete mental health state models. When we identified people with high depression, we encouraged them to refer to the source of high well-being of the &amp;quot;&amp;quot;fighting type&amp;quot;&amp;quot; group and increase their sense of self-worth by participating in clubs to obtain interpersonal support, find jobs, and earn income. We reminded the &amp;quot;&amp;quot;calm type&amp;quot;&amp;quot; people with low depression to promote their high well-being to have a complete mental health state. Finally, we monitored positive and negative indicators of mental health using screening tools of the Mental Health BMI Well-Being Index and the Patient Health Questionnaire (PHQ-9) to screen for complete or incomplete mental health states as a reference for promoting positive and negative mental health. The befriend-mindfulness-identity skills should be improved to promote well-being and adjust depression to achieve complete mental health.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;

Need for Developing Unified Workplace Mental Health Screening Tool for the Indian Population: Commenting on the Tool to Assess and Classify Work-Related Stress-16

Need for Developing Unified Workplace Mental Health Screening Tool for the Indian Population: Commenting on the Tool to Assess and Classify Work-Related Stress-16

Validation of a brief screener for broad-spectrum mental and substance-use disorders in South Africa.

In low-resource settings, valid mental health screening tools for non-specialists can be used to identify patients with psychiatric disorders in need of critical mental health care. The Mental Wellness Tool-13 (mwTool-13) is a 13-item screener for identifying adults at risk for common mental disorders (CMDs) alcohol-use disorders (AUDs), substance-use disorders (SUD), severe mental disorders (SMDs), and suicide risk (SR). The mwTool-13 is administered in two steps, specifically, only those who endorse any of the initial three questions receive the remaining ten questions. We evaluated the performance of mwTool-13 in South Africa against a diagnostic gold standard. We recruited a targeted, gender-balanced sample of adults, aged ≥18 years at primary and tertiary healthcare facilities in Eastern Cape Province. Of the 1885 participants, the prevalence of CMD, AUD, SMD, SR, and SUD was 24.4%, 9.5%, 8.1%, 6.0%, and 1.6%, respectively. The mwTool-13 yielded high sensitivities for CMD, SMD, and SR, but sub-optimal sensitivities for AUD and SUD (56.7% and 64.5%, respectively). Including a single AUD question in the initial question set improved the tool's performance in identifying AUD and SUD (sensitivity > 70%), while maintaining brevity, face-validity, and simplicity in the South African setting.

Examining The Management and Treatment Approaches for Depression in Pregnant Women

Pregnant women suffering from undiagnosed or inadequately treated depression during their pregnancy face increased postpartum risks and jeopardize the health and safety of both mother and fetus. To understand the management of depression in pregnant women at Gamping II Community Health Centre. This qualitative research employed a case study approach. Informants were selected using heterogeneous purposive sampling, comprising 9 participants: a pregnant woman, a head of the community health centre, a doctor, two midwives, a psychologist, a psychiatric nurse, and two pharmacists. The study reveals that the depression management provided to pregnant women is not comprehensive due to the lack of post-referral care, resulting in inadequate monitoring and evaluation. There is a lack of knowledge about using mental health screening tools, understanding care for depressed mothers, and implementing guidelines for managing depression in pregnant women. These factors hinder the provision of comprehensive care. Pregnancy care for women with depression requires comprehensive health management strategies. Comprehensive care is crucial to mitigate the impact of mental health disorders experienced during pregnancy