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With the publication of the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders, a set of dimensional criteria was added as an emerging alternative model to the diagnosis of personality disorder (PD; American Psychiatric Association, 2013). Parallel to this, within the object relations conceptualization of personality pathology, a structured interview, the Structured Interview of Personality Organization (STIPO), was developed to assess pathological personality and then revised (STIPO-R). In this study, the reliability and validity of the Chinese version of the STIPO-R were tested on a sample of 236 Chinese participants, including both psychiatric patients and healthy individuals. Overall, the STIPO-R showed good internal consistency, interrater and test-retest reliability, and generally satisfactory results in structure and convergent validity. The STIPO-R also demonstrated discriminant validity (healthy individuals vs. psychiatric patients with PD vs. psychiatric patients without PD). Results are also discussed in light of cultural differences between Chinese and Western cultures. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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OBJECTIVE: This prospective study aimed to assess couples' psychological status during the perinatal period to identify those at risk for postpartum depression. METHODS: Conducted at Lyon University Hospital from March to July 2022, the study enrolled pregnant women without progressive psychiatric disorders or obstetric risk factors, and their partners. Participants completed the Edinburgh Postnatal Depression Scale (EPDS) at three points: during the 9th month of pregnancy, immediate postpartum, and 6-8 weeks after delivery. A score ≥10 on the EPDS indicated depression risk. A score ≥10 on the EPDS indicate depression risk. The primary endpoint was EPDS scores throughout the perinatal period. RESULTS: Ninety-five couples participated; 96% of patients and 68% of partners completed pre-delivery questionnaires, 81% and 71% during maternity stay, and 64% and 46% postpartum, respectively. Overall, 15% of patients and 1% of partners had EPDS scores >10 in the postpartum period. Psychiatric history and emergency cesarean sections were associated with higher immediate postpartum EPDS scores in patients [Beta 3.7 points, 95% CI 0.91; 6.4 and Beta 5.2 points, 2.2; 8.1, respectively]. Episiotomy was associated with higher EPDS scores in partners. No significant association between the different factors studied and the EPDS score was found at 6-8 weeks postpartum in patients nor their partners. CONCLUSIONS: While specific risk factors for persistent perinatal depression in couples were not identified, a notable proportion of patients exhibited high EPDS scores. Screening all couples during prepartum and postpartum periods is crucial, regardless of identified risk factors.

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OBJECTIVES: This research simulates an adaptive version of the IDAS-II (IDAS-CAT). METHODS: 2021 participants from both community (n = 1692) and patients (n = 329) samples completed the IDAS-II. Item response theory metric properties of the IDAS-II full test and the 20-items of the general depression (GD) scale were obtained. The efficiency and accuracy of different computerized adaptive algorithms were simulated. Different subsamples completed additional external measures in order to gather evidence of validity of the scores estimated with the simulated adaptive algorithms selected. RESULTS: Both unidimensional computerized adaptive testing algorithm selected for the GD scale and the bifactor model chosen for the full test, allow 70% reduction in the length of administration, maintaining a measurement error below 0.30 on the general and 0.50 on the specific factors. Results show high correlations of the scores estimated with the adaptive algorithms and the estimates based on the full test, as well as correlations with external criteria almost equal to those generated with the full test. CONCLUSIONS: IDAS-CAT could be a reliable and fast tool for measuring internalizing spectrum.

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BACKGROUND: Individuals' concealment of negative information and privacy may lead to impaired social interactions and threatened health conditions. This study aimed to investigate the effectiveness of the Self-Concealment Scale (SCS) in the middle-aged Chinese population and to examine the equivalence of the SCS among different age groups. METHODS: The current research adopted the SCS, Distress Disclosure Index (DDI), Revised Cheek and Buss Shyness Scale (RCBS), Social Interaction Anxiety Scale (SIAS), Social Phobia Scale (SPS), UCLA Loneliness Scale (ULS-8), and Kessler Psychological Distress Scale (K10) to survey 1124 middle-aged people. To explore the factor structure of the SCS, the study employed exploratory factor analysis and confirmatory factor analysis. The reliability of the SCS was measured based on Cronbach's α coefficients, McDonald's Omega coefficients, and split-half reliability. Correlation analysis was applied to examine the relationship between SCS and RCBS, SIAS, SPS, ULS-8, and K10. Moreover, this study recruited 1458 emerging adults and 1104 older adults to identify the cross-age invariance of the SCS. RESULTS: Exploratory factor analysis of the middle aged adults' data supported a single factor model. The factor loadings of SCS items ranged from 0.62 to 0.73, the commonality ranged from 0.39 to 0.53, and the single-factor model fitted well. The scale showed a Cronbach's α coefficient value of 0.895, McDonald's Omega coefficient of 0.893, and a split-half reliability coefficient value of 0.861. In addition, the SCS demonstrated invariance in emerging adults, middle-aged adults, and older adults. Further analysis showed that the scores of the SCS (F = 3.55, p = 0.029) among emerging adults (M = 26.43, SD = 7.96) were significantly higher than among middle-aged (M = 25.77, SD = 7.79), and older cohort (M = 25.69, SD = 7.91). CONCLUSION: The SCS revealed favorable psychometric characteristics among the middle-aged Chinese population. The degree of self-concealment among emerging adults was higher than that of middle-aged and older people.

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OBJECTIVE: This study aims to evaluate the severity of substance use disorders according to the DSM-5 criteria and to show the reliability and validity of the Turkish version of the DSM-5 Substance Use Scale that improved to learn what kind of substances are used. METHODS: In this study,54 in or out-patients who met the criteria for any substance use disorder according to DSM-5 and who are receiving treatment in Psychiatry Department of Celal Bayar University Faculty of Medicine and AMATEM department of Bakirköy Prof. Dr. Mahzar Osman Mental Health and Neurology Training and Research Hospital, were included. One hundred volunteers without any mental or physical disease were also recruited as the control group. Beside the DSM-5 Level 2 substance use scale, Addiction Profile Index was used for concurrent validity. Internal consistency coefficient and item-total correlation analysis were performed for reliability analysis. ROC Analysis was used in the validity analysis. RESULTS: Mean age was 26.97±10.20 years in the study group and 39% of the sample (n=60) were female. 5.6% (n=3) of the patient group were female and 94.4% (n=51) were male. In the control group, 57% (n=57) were female and 43% (n=43) were male. Of the patients diagnosed with substance use disorder (n=54), 88.7% had opiate use disorder, 5.6% had polysubstance use disorder, 5.6% had other (unknown) substance (synthetic cannabinoid) use disorder and 1.8% of patients have cannabis use disorder. The internal consistency of the substance use scale was 0.80 and itemtotal correlation coefficients were between 0,196- 0,643 (p<0.0001). Coefficient of correlation analysis with API was calculated as r=0.806 (p<0.0001). CONCLUSION: The results showed that DSM-5 Substance Use Scale is a valid and reliable questionnaire that can be used to measure the progress of different dimensions of alcohol and substance use.

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OBJECTIVE: This study aimed to examine the reliability and validity of a newly developed questionnaire for Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal infections (PANDAS) and Pediatric Acute-onset Neuropsychiatric Syndrome (PANS). The aim was to contribute to future standardisation of screening methods for symptoms and comorbidity, as well as the measurement of symptom severity, daily life impairment, and treatment effectiveness in individuals diagnosed with PANDAS/PANS. METHODS: 27 items from the PANDAS/PANS questionnaire concerning symptoms and comorbidities associated with PANDAS/PANS were divided into ten domains. To assess the external validity, 119 PANDAS/PANS questionnaires from a cohort of 65 children with PANDAS/PANS were correlated with three well-known validated questionnaires: the Children's Yale-Brown Obsessive-Compulsive Scale (CY-BOCS), Attention Deficit Hyperactivity Disorder Rating Scale (ADHD-RS), and the Strengths and Difficulties Questionnaire (SDQ). The internal validity of the PANDAS/PANS questionnaire was assessed by correlating the PANDAS/PANS items with the domains. RESULTS: Internal consistency of the PANDAS/PANS questionnaire was high, measuring moderate to very strong correlations. The external correlations for the PANDAS/PANS questionnaire showed a higher correlation with the ADHD-RS and CY-BOCS (rs ≥ 0.60) than with the SDQ (rs < 0.40). CONCLUSION: The validity and clinical feasibility of the PANDAS/PANS questionnaire were confirmed as an effective tool for screening symptoms, assessing symptom severity, and evaluating comorbidity and daily life impairment in individuals with PANDAS/PANS. These findings can potentially enhance the management of PANDAS/PANS patients in both clinical and research settings.

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AIMS: To assess the validity and internal reliability of the International Trauma Questionnaire (ITQ) among patients diagnosed with major depressive disorder (MDD) and to explore the network structure of Complex post-traumatic stress disorder (CPTSD) among MDD patients in China. METHODS: Eligible individuals were recruited from a large tertiary hospital in Guangdong Province. Trained researchers conducted in-person interviews and administered self-report questionnaires, including demographics, medical information, and psychological assessments. Confirmatory factor analyses (CFA) and network analysis were performed, with calculations of Average Variance Extracted (AVE), Cronbach's α, and composite reliability. RESULTS: A total of 113 patients with MDD participated in this study. The correlated six-factor one-order model was a good representation of the latent structure of ITQ (χ2= 60.114, df = 39, P = 0.017, SRMR = 0.070, RMSEA = 0.050, TLI = 0.952, CFI = 0.972, BIC = 175.508). All ITQ subscales possessed acceptable convergent validity and internal reliability, except for affective dysregulation and re-experiencing. The square root of AVE for affective dysregulation was lower than its correlations with other clusters. Network analysis revealed that node C4 ('I feel worthless'), as a core symptom, was significantly associated with the development of CPTSD. CONCLUSIONS: The clinical applicability of the ITQ was demonstrated by its overall validity and reliability among patients with MDD. However, the affective dysregulation and re-experiencing clusters still need to be revised and enhanced. Timely screening, recognition, and diagnosis are critical due to the worse clinical outcomes seen in comorbid patients.

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Coronaphobia represents the fears and phobias attributed to the COVID-19 virus and pandemic. The COVID-19 Phobia Scale, previously validated as a four-factor structure, is a widely used multidimensional measure to assess coronaphobia. The current study scrutinized various competing factor structures of this instrument to identify the optimal psychometric representation of coronaphobia. Adults (N = 412) ranging in age from 19 to 84 years completed the COVID-19 Phobia Scale. Several theoretically plausible factor structures of coronaphobia were tested and compared using confirmatory factor analysis: four-factor structure, one-factor structure, higher-order factor structure, and five-factor bifactor structure. The one-factor structure showing an overarching factor of COVID-19 phobia revealed the poorest fit to the data. The five-factor bifactor structure that allowed every item to double-load on the COVID-19 general phobia factor alongside one of the COVID-19 specific phobia factors (psychological phobia, psycho-somatic phobia, economic phobia, or social phobia) produced the strongest fit indices and was superior to the widely accepted four-factor structure. The five-factor bifactor structure demonstrated multi-group measurement invariance across gender, race, age, and state urbanization. Furthermore, the general phobia factor and the psycho-somatic phobia factor from the five-factor bifactor structure uniquely predicted present moment state anxiety using structural equation modeling. This psychometric investigation underscores that coronaphobia is experienced as a general pandemic fear that is simultaneously experienced with specific domains of pandemic fears. Theoretical and methodological insights are offered for conceptualizing and measuring coronaphobia and understanding how pandemic phobias differ from traditional phobias.

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We sought to derive an objective measure of psychomotor slowing from speech analytics during a psychiatric interview to avoid potential burden of dedicated neurophysiological testing. Speech latency, which reflects response time between speakers, shows promise from the literature. Speech data was obtained from 274 subjects with a diagnosis of bipolar I depression enrolled in a randomized, doubleblind, 6-week phase 2 clinical trial. Audio recordings of structured Montgomery-Åsberg Depression Rating Scale (MADRS) interviews at 6 time points were examined (k = 1,352). We evaluated speech latencies, and other aspects of speech, for temporal stability, convergent validity, sensitivity/responsivity to clinical change, and generalization across seven socio-linguistically diverse countries. Speech latency was minimally associated with demographic features, and explained nearly a third of the variance in depression (categorically defined). Speech latency significantly decreased as depression symptoms improved over time, explaining nearly 20 % of variance in depression remission. Classification for differentiating people with versus without concurrent depression was high (AUCs > 0.85) both cross-sectionally and longitudinally. Results replicated across countries. Other speech features offered modest incremental contribution. Neurophysiological speech parameters with face validity can be derived from psychiatric interviews without the added patient burden of additional testing.

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OBJECTIVE: To determine the psychometric properties of an Aboriginal and Torres Strait Islander-developed depressive symptom screening scale. DESIGN: Prospective diagnostic accuracy study. SETTING: Ten primary health care services or residential alcohol and other drug rehabilitation services in Australia that predominantly serve Aboriginal and Torres Strait Islander peoples. PARTICIPANTS: 500 adults (18 years or older) who identified as Aboriginal and/or Torres Strait Islander and were able to communicate sufficiently to respond to questionnaire and interview questions. Recruitment occurred between 25 March 2015 and 2 November 2016. MAIN OUTCOME MEASURE: Criterion validity of seven Aboriginal and Torres Strait Islander-developed items, using the adapted Patient Health Questionnaire 9 (aPHQ-9) and depression module of the Mini International Neuropsychiatric Interview (MINI) 6.0.0 as the criterion standards. RESULTS: The seven-item scale had good internal consistency (α = 0.83) and correlated highly with the aPHQ-9 (ρ = 0.76). All items were significantly associated with diagnosis of a current major depressive episode. Discriminant function and decision tree analysis identified three items forming a summed scale that classified 85% of participants correctly. These three items showed equivalent sensitivity and specificity to the aPHQ-9 when compared with the MINI-identified diagnosis of a current major depressive episode. CONCLUSION: Three items developed by and for Aboriginal and Torres Strait Islander people may provide effective, efficient and culturally appropriate screening for depression in Aboriginal and Torres Strait Islander health care contexts.

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BACKGROUND: Depression among older adults is a pressing public health concern, necessitating accurate assessment tools. The Geriatric Depression Scale (GDS) offers a brief and efficient means of screening depressive symptoms, yet its performance across ethno-racial groups remains understudied. This study aimed to compare the ability of various brief forms of the GDS to detect depressive symptoms and to assess potential ethno-racial differences in symptom endorsement among White, Black/African-American, and American Indian/Alaska Native older adults. METHODS: Data were obtained from the Wisconsin Alzheimer's Disease Research Center (ADRC) clinical cohort, comprising 555 cognitively healthy individuals at risk for dementia. We used participants' baseline data for this cross-sectional analysis. Depressive symptoms were assessed using multiple brief forms of the GDS, derived from a systematic review and meta-analysis. We examined internal consistency and correlations with global Clinical Dementia Rating (CDR) scores. We conducted Kruskal-Wallis tests and post hoc pairwise comparisons to assess ethno-racial group differences in symptom endorsement. RESULTS: Descriptive statistics revealed a predominance of female and White participants, with notable representation from Black and American Indian/Alaska Native groups. All GDS versions demonstrated moderate to high internal consistency. Significant positive correlations were observed between GDS scores and global CDR scores. Ethno-racial group differences in depressive symptom endorsement were evident, with Black participants consistently reporting higher levels of symptoms across most GDS versions. However, American Indian/Alaska Native participants endorsed significantly fewer symptoms than Black participants in one GDS version. CONCLUSION: The study highlights the importance of considering ethno-racial differences in depressive symptomatology when assessing older adults. While the GDS demonstrates overall reliability, variations in symptom endorsement across different ethno-racial groups underscore the need for culturally sensitive assessment tools and interventions. Future research should further explore these group differences and develop tailored approaches to depression screening and treatment in diverse older adult populations.

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OBJECTIVES: The association between loneliness and disability is a growing public health priority. While the University of California Los Angeles Loneliness Scale (UCLA-LS) has been internationally used as an indicator for assessing loneliness, its optimal cutoff point in relation to disability occurrence has not yet been examined. Therefore, we aimed to determine the optimal cutoff point of the UCLA-LS regarding future disability. METHODS: This longitudinal cohort study was conducted in Tokai City, Aichi Prefecture, Japan. Overall, 4536 community-dwelling older adults (age: 73.8 ± 5.5 years; females: 55.2%) were followed up for 2 years. The area under the curve of the receiver operating characteristic analysis was calculated to evaluate the optimal cutoff point of the UCLA-LS in relation to future disability occurrence using the Youden index, which maximized the sensitivity and specificity of the UCLAS-LS. A survival analysis was conducted to test this cutoff value's external validity, using the presence or absence of disability occurrence as the dependent variable. RESULTS: The cutoff score of the UCLA-LS in relation to future disability was 44 points. An association was found between new disability occurrence and loneliness based on this cutoff value (hazard ratio: 1.67, 95% confidence interval: 1.29-2.16). CONCLUSIONS: Although cultural context should be taken into account, the optimal cutoff scores for the loneliness scale related to disability identified in this study may be a useful indicator for early recognition of loneliness as a global public health problem and for promoting social participation as one of the disability prevention strategies.

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Site-independent ratings derived from audio-digital recordings of site-based interviews are often used for quality assurance monitoring to affirm ratings reliability in CNS clinical trials. The present study of subjects with schizophrenia and persistent negative symptoms used video instead of audio recordings of site-based interviews and thereby facilitated visual observation of the subject by the remote rater. "Paired" site-independent scores of the Positive and Negative Syndrome Scale (PANSS) and Brief Negative Symptom Scale (BNSS) were obtained from video-recordings of site-based interviews. The intraclass correlation between site-based and paired site-independent ratings was r = 0.839 for the total PANSS scores (n = 1006) and r = 0.871 for the total BNSS scores (n = 892); <5 % of paired scores deviated outside the acceptable confidence intervals. Ratings "outliers" were identified and remediated. We examined the pattern of paired scoring deviations for the BNSS, total PANSS, PANSS symptom subscales, and the Marder negative symptom factor. Each metric revealed a bidirectional pattern of scoring deviations such that mean site-based ratings were higher than site-independent ratings when symptom severity was high but lower than site-independent ratings when symptom severity was low. The pattern of bidirectional paired scoring deviations observed in this analysis has previously been noted in paired ratings analyses of subjects experiencing an acute exacerbation of psychosis in schizophrenia and major depressive disorder as well. The bidirectional pattern may reflect inherent differences between live ratings and remotely scored recorded ratings. This analysis affirms the utility of video-recordings of site-based ratings for surveillance in trials with subjects with schizophrenia and persistent negative symptoms.

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Schizotypy involves schizophrenia-like traits and symptoms, with the Wisconsin Schizotypy Scales (WSS) being frequently used in previous research. There is some evidence that schizophrenia-spectrum symptom levels, including when using the WSS, might vary both by gender and by race and ethnicity. However, previous research has rarely examined to what extent the WSS show gender and racial bias. Further, this has not been previously examined for the Cognitive Slippage Scale, a measure of disorganized schizotypy. In this study, we examined biases for a subset of items from the WSS in a large sample of undergraduate students (n = 21,829). Using item response theory to test for levels of differential item functioning (DIF), we found some evidence of problematic DIF for all scales, including for negative, positive, and disorganized schizotypy scales. There was evidence of problematic DIF especially by gender and for Black and Multiracial participants. Overall, the current results suggest that gender and/or racial bias on these scales should be an important consideration in using these scales and our results could have implications for assessment of schizophrenia-spectrum symptoms.

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The Symptom Checklist-90 (SCL-90), widely utilized for psychological assessments, faces challenges due to its extensive nature. Streamlining the SCL-90 is essential in order to enhance its practicality without compromising its broad applicability across diverse settings. The objective of this study is to employ machine learning techniques to simplify the dimensions and individual items within each dimension, while simultaneously validating the accuracy and practicality of the streamlined SCL-90 scale. A total of 23,028 valid responses of the SCL-90 were obtained from university students, with positive cases accounting for 49.58 % and negative cases accounting for 50.42 %. The findings demonstrate that by utilizing the Support Vector Classification (SVC) algorithm, it is possible to reduce the scale from ten dimensions to four, achieving an overall prediction accuracy of 89.50 % for the total score. Further simplification of these remaining four dimensions resulted in a reduction from 44 to 29 items per dimension, yielding individual dimension accuracies exceeding 90 %, along with sensitivity and specificity levels surpassing 85 %, and the reliability coefficients consistently exceeded 0.8 across different algorithms. In conclusion, we successfully reduced the number of scale items from 90 to 29, resulting in a reduction of 67.78 % in overall assessment time while maintaining a high reliability coefficient of 0.95. Importantly, the streamlined scale demonstrated no significant decrease in assessment effectiveness. This refined version facilitates rapid comprehension of individuals' comprehensive mental health status and is well-suited for widespread application in experiential settings.

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Understanding developmental trajectories and gender differences in depressive symptoms is clinically relevant. Discerning true differences across gender, age groups, and time is based on the often-neglected premise of measurement invariance (MI) of child and adolescent depression scales. In this systematic review, we assessed available evidence for MI across gender, age groups, and time for depression scales validated in children and adolescents, in studies with at least one assessment under age 18. A literature search using Medline, PsychInfo, Scopus, Web of Science, and Google Scholar databases identified 42 studies that examined MI. MI of eleven scales was tested in 1-9 studies per scale. Conclusions are hampered by different factor solutions tested within some scales. All included questionnaires showed preliminary evidence for MI across gender. Across some studies, crying had higher factor loadings in females compared to males, indicating that crying may be differently related to depression across gender. MI evidence was preliminary in just four scales across time, mostly confined to ages 13-17. One study showed developmental conclusions differed when non-invariance is not accounted for in observed scores. Overall, evidence for MI in child and adolescent depression scales is currently limited.

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INTRODUCTION: In psychotherapy, having a reliable tracking tool is vital for effective treatment. We have validated the Danish version of the 'Overall Depression Severity and Impairment Scale' (ODSIS), which is used in the Unified Protocol for Emotional Disorders (UP) and other cognitive behavioural therapies. This five-item self-rating scale is expected to correspond closely to the gold-standard Beck Depression Inventory-II (BDI-II), but also to self-rating scales addressing daily functioning and well-being. METHODS: Internal consistency is assessed using Cronbach's alpha and McDonald's omega. Criterion validity is explored through Pearson's correlation coefficient with BDI-II, the Work and Social Adjustment Scale (WSAS), the Five-Item World Health Organization Well-Being Index (WHO-5) and scatter plots, and an optimal cut-off score is determined using a receiver operating characteristic curve. The study included 340 respondents: 234 from a recent clinical trial, 56 psychiatric patients from inpatient/outpatient units and 50 healthy volunteers. RESULTS: ODSIS demonstrates strong internal consistency (Cronbach's alpha: 0.887-0.956, McDonald's omega: 0.888-0.957). Correlations with BDI-II, WSAS and WHO-5 highlight its strong criterion validity (BDI-II: 0.847, WSAS: 0.751, WHO-5: 0.771). The optimal cut-off score (> 7.5) for detecting depression shows great sensitivity (0.862) and specificity (0.731). CONCLUSION: The Danish version of ODSIS proves to be a reliable instrument for quantification of a combination of depression level and functional impairment from the symptoms. Its high correlation with established BDI-II makes it a brief and handy tool for repeated measurement in clinical and research settings.

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BACKGROUND: The PTSD Checklist for DSM-5 (PCL-5) is an internationally widely used self-report questionnaire that can be used to screen for probable diagnosis of posttraumatic stress disorder (PTSD). Information on the psychometric properties of the Dutch PCL-5 is currently lacking. OBJECTIVE: We aimed to validate the Dutch PCL-5 in a sample of Dutch adults with prior (suspected) serious injury and establish the optimal cut-off for probable PTSD diagnosis herein. METHODS: Data for the current study were collected as part of a long-term follow-up measurement of the TraumaTIPS cohort, where adults admitted to an emergency department following (suspected) serious injury completed a follow-up measurement 12-15 years post-trauma. Of N = 333 eligible participants, n = 192 (57.7%) consented and completed the PCL-5 alongside self-report instruments measuring depression (QIDS), PTSD (IES-R), and quality of life (WHO-QOL and EQ-6D). In total, n = 185 participants also completed a clinician administered interview for PTSD (CAPS-5). Most participants were men (66%) and on average 54 years old (SD = 12.41). We evaluated the diagnostic utility of the PCL-5 using Youden index and tested reliability and convergent validity. RESULTS: The PCL-5 demonstrated excellent diagnostic accuracy with a cut-off point of 16 resulting in an optimal Youden index (0.90) for screening purposes with a high sensitivity (1.00) and specificity (0.90). A cut-off of 22 yielded a slightly lower Youden index (0.84) but better positive predictive value (0.50 instead of 0.33) than the cut-off of 16. A cut-off of 29 resulted in the most accurate prevalence estimates. The PCL-5 showed a high internal consistency (Cronbach's α = 0.94), excellent inter-item and item-total correlations and good convergent validity (r > .5 for CAPS-5, IES-R and QIDS). CONCLUSIONS: The PCL-5 is a reliable and valid measurement for PTSD symptoms and probable diagnosis and shows excellent screening abilities in Dutch adults with prior (suspected) serious injury, with a lower optimal cut-off compared to previously found in clinical populations. We recommend a cut-off of 22 for screening purposes and a cut-off of 29 for prevalence estimates in Dutch trauma-exposed adults.

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BACKGROUND: Doomscrolling behavior is very common among college students. The purpose of this study was to evaluate the reliability and validity of the Chinese version of the Doomscrolling Scale, thus providing a scientific basis for its application among Chinese university students. METHODS: The Chinese version of Doomscrolling Scale was developed through translation and revision of the original scale, conducting item and factor analysis, and validating it with validation factor analysis. The psychometric properties of the Doomscrolling Scale were assessed in 2885 Chinese university students. RESULTS: The internal consistency coefficients, two-month test-retest reliability, and split-half reliability of the Chinese version of the Doomscrolling Scale (including the 15-item and the 4-item short version) were high, and the mono-factorial scales fitted well to the theoretical model. Scores on the Chinese version of the Doomscrolling Scale were significantly associated with depression, anxiety, and smartphone addiction. The structural equation model indicates that doomscrolling can mediate the bidirectional relationship between insomnia disorder and depression. CONCLUSIONS: The revised Chinese version of the Doomscrolling Scale is valid and reliable, which can facilitate research in this field. The association between doomscrolling and various mental disorders has been confirmed, and further research should be conducted to investigate its mechanisms of action.

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