How accurately can supervised machine learning model predict a targeted psychiatric disorder?

BACKGROUND: Hoarding disorder (HD) is characterized by a compulsion to collect belongings, and to experience significant distress when parting from them. HD is often misdiagnosed for several reasons. These include patient and family lack of recognition that it is a psychiatric disorder and professionals' lack of relevant expertise with it. This study evaluates the ability of a supervised machine learning (ML) model to match the diagnostic skills of psychiatrists when presented with equivalent information pertinent to symptoms of HD. METHODS: Five hundred online participants were randomly recruited and completed the Hoarding Rating Scale-Self Report (HRS-SR) and the Generalized Anxiety Disorder 7-item (GAD-7) scale. Responses to the questionnaires were read by an ML model. Responses to the HRS-SR were then converted into anonymized, random-equivalent texts. Each of these individual texts was presented in random order to two experienced psychiatrists who were independently asked for a provisional diagnosis - e.g.; the presence or absence of HD. In case of disagreement between the two assessors, a third psychiatrist broke the tie. A decision tree classification model was employed to predict clinical HD using self-report data from two psychological tests, the HRS-SR and GAD-7. The target variable was whether a participant had clinical HD, while the predictive variables were the continuous scores from the HRS-SR and GAD-7 tests. The model's performance was evaluated using a confusion matrix, which compared the observed diagnoses with the predicted diagnoses to assess accuracy. RESULTS: According to the psychiatrists, approximately 10% of the participants fulfilled DSM-5 diagnostic criteria for HD. 93% of the clinician-identified cases were identified by the ML model based on HRS-SR and GAD-7 scores. A decision tree plot model demonstrated that about 60% of the cases could be detected by the HRS-SR alone while the rest required a combination of HRS-SR and GAD-7 scores. ML evaluation metrics showed satisfactory performance, with a Matthews Correlation Coefficient of 55%; Area Under Curve (AUC), 79%; a Negative Predictive Value of 76%; and a False Negative Rate of 24%. CONCLUSIONS: Study findings strongly suggest that ML can, in the future, play a significant role in the risk assessment of psychiatric disorders prior to face-to-face consultation. By using AI to scan big data questionnaire responses, wait time for seriously ill patients can be substantially cut, and prognoses substantially improved.

Moderating effect of sleep quality in the relationship between coping and distress among medical students.

Introduction: The present study examined the moderating effects of sleep quality in the relationship between coping and distress among medical college students. Present study was conducted to ensure the mental health of medical students and to dig out the reasons behind their disturbed health which can directly impact their performance at work. Methods: The study utilized a cross-sectional survey and was distributed to students at various medical institutions in the Punjab province of Pakistan from October 2019 to June 2020. The sample comprised 369 participants (120 males; 32.5%). The survey included the Pittsburgh Sleep Quality Index (PSQI), Kessler Scale of Psychological Distress (K10), Brief Cope Scale, and Wong and Law Emotional Intelligence Scale. Results: The results showed there was a significant relationship between coping and distress. More specifically, adaptive coping and distress were negatively associated (r=-.24), and maladaptive coping and distress were positively associated (r=.46). Moreover, the present study found that poor sleep quality was a significant positive predictor of distress. Moderation analysis showed that sleep quality was a significant moderator in the relationship between adaptive coping and distress (ΔR2=.011, ß=-.36, p<.01) as well as between maladaptive coping and distress (ΔR2=.021, ß=-.17, p<.01). Conclusion: The study's findings clearly showed that sleep quality is a significant moderator in the relationship between coping (both adaptive and maladaptive) and distress among medical students.

The gaming disorder test and gaming disorder scale for adolescents: translation and validation among Vietnamese young adults.

BACKGROUND: Previous studies have shown that the Gaming Disorder Test (GDT) and Gaming Disorder Scale for Adolescents (GADIS-A) have promising validity and reliability when assessing symptoms of gaming disorder among young adults. However, validity and reliability properties of the two scales have not been established among a Vietnamese population. OBJECTIVE: The present study translated the GDT and GADIS-A into Vietnamese and examined their factor structures, measurement invariance, convergent validity, concurrent validity, and divergent validity among university students. METHODS: A total of 610 young adults (mean age = 21.09 years; 63.4% females) were recruited using convenience sampling and who completed a paper-and-pencil survey between April and June 2023. All participants completed a demographic questionnaire, GDT, GADIS-A, and six standardized scales related to gaming disorder, social media addiction, smartphone addiction, and psychological distress. Confirmatory factor analysis (CFA), internal consistency testing, and Pearson's correlations were performed. RESULTS: CFA showed that the GDT had a one-factor structure and the GADIS-A had a two-factor structure. The internal consistency was excellent for both scales among this population. Moreover, both GDT and GADIS-A showed convergent, concurrent, and divergent validity with other standardized scales. CONCLUSION: The Vietnamese versions of the GDT and GADIS-A have good psychometrics, which may be utilized in future research regarding gaming disorder among Vietnamese populations.

Comparison between problematic use of social media and YouTube to insomnia among Iranian adolescents: A mediating role of psychological distress.

Objective: Problematic use of the internet has been linked to emotional and sleep concerns, although relationships with specific types of internet use are less well understood. YouTube, as an online platform with video-watching features, may attract individuals to spend considerable time, for those experiencing problematic use be termed problematic use of social media (PUSM) or problematic use of YouTube (PUY). Therefore, the present study investigated relationships between PUSM/PUY, psychological distress, and insomnia among the Iranian adolescents. Methods: An online survey comprising Bergen Social Media Addiction Scale, YouTube Addiction Scale, Depression, Anxiety, Stress-21 Scale, and Insomnia Severity Index recruited 1352 participants. Results: Results of Hayes' Process Macro showed significant correlations between the two types of problematic use and insomnia, with psychological distress as a mediator (unstandardized coefficient = 0.096 and 0.100). Conclusion: The findings implied the effect of psychological distress in mediating the relationships of PUSM and PUY to insomnia.

The Perceived Weight Stigma Scale and Weight Self-Stigma Questionnaire: Rasch analysis, confirmatory factor analysis, and network analysis among Chinese adolescents.

OBJECTIVES: The objectives of the present study were to (i) re-evaluate and expand the psychometric properties of two weight stigma instruments-the Perceived Weight Stigma Scale (PWSS) and the Weight Self-Stigma Questionnaire (WSSQ) among a large sample of adolescents using advanced psychometric methods and (ii) examine how the different types of weight stigma (i.e., PWSS and WSSQ) are associated with psychological distress. STUDY DESIGN: Cross-sectional study. METHODS: In September 2023, a cross-sectional survey utilising convenience sampling was used to recruit 9995 adolescents (mean age = 16.36 years [standard deviation = 0.78]; 57.8% males). They completed the PWSS, WSSQ, and a measure on psychological distress. The data were analysed using Rasch analysis, confirmatory factor analysis (CFA), structural equation modelling (SEM), and network analysis. RESULTS: The CFA and Rasch model results showed acceptable psychometric properties regarding factor structure, factor loading, difficulty, and infit and outfit mean squares (except Items 4 and 7 of the PWSS). There was no substantial differential item functioning for any tested items across the sex and weight categories. The CFA and SEM results showed promising validity indices with significant associations between both weight stigma scales and psychological distress (i.e., depression, anxiety, and stress). Network analysis showed inter-variable connectivity between nodes PWSS3 ("People act as if they are afraid of you") and WSSQF7 ("I feel insecure about others' opinions of me"). CONCLUSIONS: Both weight stigma scales had acceptable psychometric properties and were significantly associated with psychological distress, although each assessed different types of weight stigma. This suggests that researchers and clinicians can use these scales to reliably and validly assess weight stigmas among adolescents.

Gerascophobia or Excessive Fear of Aging Scale (GEFAS): Development, validation, and exploration of psychometric properties of a brief instrument using classical testing theory and item response theory.

BACKGROUND: Gerascophobia, or excessive fear of aging, is thought to be caused by a mixture of cognitive, experiential, and physiological factors acting on a person at particular time points. Measurement tools for evaluating geraschophobia remain insufficiently developed, despite this commonplace fear's distress. OBJECTIVE: The objective of the current study was to develop and validate the Gerascophobia or Excessive Fear of Aging Scale (GEFAS) and analyze its psychometric properties. METHODS: Three successive investigations were carried out with a total of 1594 participants. Exploratory and confirmatory factor analyses were conducted to evaluate the construct validity of the GEFAS. Convergent and discriminant validity was assessed by examining relationships with measures of depression, anxiety, stress, death anxiety, psychosocial illness, and life satisfaction. Multiple linear regression was used to investigate factors that predict fear of aging. RESULTS: The GEFAS demonstrated high reliability (Cronbach alpha >0.8). Factor analysis supported a single-factor solution for the scale (fitness indices CFI, TLI, NNFI, NFI, RFI, and MFI all > 0.95; RMSEA=0.06. Significant positive correlations were found between fear of aging and depression (r = 0.270; p < 0.01), anxiety (r = 0.311; p < 0.01), stress (r = 0.285; p < 0.01), death anxiety (r = 0.600; p < 0.01), and psychosocial illness (r = 0.243; p < 0.01). A significant inverse correlation was observed with life satisfaction. Gender differences were also noted, with women exhibiting greater fear of aging than men (p < 0.01; d = 0.488). CONCLUSION: The GEFAS fills a significant gap in the psychological/psychiatric literature as a useful tool for evaluating the fear of aging. The study concludes that the excessive fear of aging contributes to poor mental health.

Validation and Measurement Invariance of the Tendency to Avoid Physical Activity and Sport Scale (TAPAS) Among Thai Young Adults.

Examining ways of reducing physical inactivity has been at the forefront of public health research. Moreover, valid and reliable scales are needed to objectively assess physical activity (PA) avoidance. Previous research has shown that experiencing weight stigma and physical appearance-related concerns are associated with physical inactivity. However, there is currently no Thai instrument that assesses physical inactivity in relation to weight stigma. Therefore, the present study examined the psychometric properties of the Thai version of the Tendency to Avoid Physical Activity and Sport Scale (TAPAS). Thai university students (N = 612) recruited via convenience sampling completed an online survey using SurveyMonkey between September 2022 and January 2023. Confirmatory factor analysis (CFA), multigroup CFA, and Pearson correlations (between TAPAS scores, age, body mass index, and time spent exercising) were used to analyze the data. The CFA showed robust psychometric properties for the Thai version of TAPAS regarding its unidimensional structure. The TAPAS was measurement invariant across sex, weight status, and daily hours of exercise. However, no significant Pearson correlations were found. In general, the results showed that the TAPAS is a good scale for assessing PA avoidance among Thai young adults across different sexes, weight status, and daily hours of exercise.

Parental intention on getting children COVID-19 vaccinations: Invariance evaluation across parenting roles and COVID-19-like symptoms experiences among Iranians during the pandemic period.

Countries worldwide are facing challenges with increasing the COVID-19 vaccination rates for children. This study examined associations between perceived knowledge, coping appraisal, threat appraisal, adaptive response, maladaptive response, and intention, and possible variance across parents (mother or father) and COVID-19-like symptoms experiences regarding parental intentions to vaccinate their children. A total of 836 Iranian parents with children between the ages of 6 and 12 y completed measures assessing perceived knowledge, coping appraisals, threat appraisals, intentions, adaptive responses, and maladaptive responses. Multigroup structural equation modeling revealed that perceived knowledge was positively associated with both coping and threat appraisals, coping appraisals positively associated with adaptive responses, maladaptive responses, and intentions to vaccinate, threat appraisals positively associated with adaptive and maladaptive responses, and adaptive responses positively associated with intentions to vaccinate. The invariance evaluation revealed no differences across parents or COVID-19-like symptoms experiences in parental intentions to get their children vaccinated. The findings suggest that cogent information regarding childhood COVID-19 vaccination may boost parents' knowledge influencing their appraisals, adaptive responses and intentions to vaccinate their children. Specifically, coping appraisals and adaptive responses appeared to be important mediators between knowledge and intentions to vaccinate. Furthermore, intentions to vaccinate children may not be strongly influenced by parental roles or COVID-19-like symptoms experiences. These findings may help multiple stakeholders promote COVID-19 vaccination rates among children, and countries should further examine ways of increasing rates based on their specific needs.

Association of quality of life with internet use and weight stigma across individuals with obesity and those without obesity: Role of self-perception.

Weight status, weight stigma, and internet use are important factors impacting quality of life (QoL). However, little is known regarding how these factors interact in their association with QoL, and it is important to understand how self-perceived obesity and body mass index (BMI)-defined obesity may differentially impact QoL. We aimed to assess the associations between weight status (obesity vs. non-obesity, including both self-perceived and BMI-defined), weight stigma, internet use, and QoL. Cross-sectional data from the Taiwan Social Change Survey (N = 1604; mean age = 49.22; 52.93 % women) were used. All participants were classified as having obesity or not having obesity according to both self-perceived (self-perceived as 'too fat') and BMI-defined (≧27 kg/m2 as obesity) weight status. Results showed that the group with obesity (both BMI-defined and self-perceived) had significantly more internet time and lower physical QoL than the group without obesity. Those with self-perceived obesity, but not those with BMI-defined obesity, sought health information via the internet and used social media significantly more than the group without obesity. More internet time was associated with worse physical and mental QoL for the group with obesity regardless of BMI-defined or self-perceived status. Moreover, weight stigma was associated with worse mental QoL for the group with self-perceived obesity, but not for the group with BMI-defined obesity. Accordingly, being a person with obesity (self-defined, or based upon BMI) was associated with more internet time and poorer QoL. People with self-perceived obesity may have increased experience of weight stigma and greater internet use, factors that may contribute to their impaired QoL.

The Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS) - A psychometric evaluation of adolescents in Sweden during the COVID-19 pandemic.

The Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS) is effective in assessing positive aspects of mental health. Despite its advantages, little is known about group differences in the interpretation of SWEMWBS items across age groups, especially during the adolescence period. Hence, this study examined the psychometric properties of the SWEMWBS through Confirmatory Factor Analysis (CFA), Rasch analysis and network analysis of Swedish adolescents during the COVID-19 pandemic. A total of 5548 participants from the south of Sweden (i.e., Jönköping County) took part in this cross-sectional study through an online platform between September 2020 and October 2020. The CFA, Rasch (including differential item functioning, DIF) analysis and network analysis were used to examine the psychometric properties and measurement invariance of the SWEMWBS. The SWEMWBS had a unidimensional structure with robust psychometric properties. The CFA demonstrated measurement invariance across gender, school year and country of birth, which was also confirmed by Rasch DIF. Furthermore, considerable associations between the items of the SWEMWBS, general health and COVID-19 impact items were observed in network analysis. The SWEMWBS showed robust psychometric properties capable of assessing positive aspects of mental health and well-being among adolescents.

Meta-analysis with systematic review to synthesize associations between oral health related quality of life and anxiety and depression.

OBJECTIVES: The present systematic review aimed to investigate how oral health related quality of life (OHQOL) associates with anxiety and depression. The study protocol was registered prospectively in the PROSPERO database (CRD42023389372). MATERIALS AND METHODS: Studies investigating associations between OHQOL and depression and/or anxiety were included. Fisher's Z scores were used to summarize associations between OHQOL and depression/anxiety. Funnel plots and Begg's Tests were used to assess publication bias. Meta-regression was conducted to examine potential moderator effects in the associations. Academic databases including the ISI Web of Knowledge, Scopus, ProQuest and PubMed were systematically searched. The quality of included studies was checked with the Newcastle Ottawa Scale (NOS). RESULTS: All 15 included studies were cross-sectional (14,419 participants from nine countries; mean age=43.74 years). The pooled estimates showed weak associations between OHQOL and depression (Fisher's z-score of 0.26 [95% CI = 0.17, 0.35; I2 = 96.2%; τ2 = 0.03]) and anxiety (Fisher's z-score of 0.22 [95% CI = 0.001, 0.43; I2 = 97.9%; τ2 = 0.06]). No severe problems in methodology quality, publication biases, or moderator effects were observed. CONCLUSION: Both depression and anxiety were weakly associated with individuals' OHQOL. Although the synthesized associations were not strong, they were significant, indicating that depression and anxiety are potential factors influencing individuals' OHQOL.

Problematic Use of Internet Associates with Poor Quality of Life via Psychological Distress in Invididuals with ADHD.

Background: Problematic use of internet (PUI) may have negative impacts on psychological distress and quality of life (QoL). This situation might be more profound in people with attention-deficit/hyperactivity disorder (ADHD) due to poorer behavioral control and regulatory capacity. However, there is little evidence regarding mediated effects in the associations between PUI, psychological distress, and QoL in people with ADHD. Aims: To investigate mediating effects of psychological distress in the associations of problematic smartphone use (PSPU), problematic use of social media (PUSM), and problematic gaming (PG) with QoL in individuals with ADHD. Methods and Procedures: PUI behaviors of participants with ADHD (n = 99) were assessed using the Smartphone Application-Based Addiction Scale, Bergen Social Media Addiction Scale, and Internet Gaming Disorder-Short Form. Psychological distress was assessed using the Depression, Anxiety, Stress Scale and QoL using the Kid-KINDL. Outcomes and Results: Psychological distress mediated the associations between PUI and different domains of QoL, except for self-esteem QoL. There were also positively direct effects between PG and physical QoL, PUSM and friends' QoL, and PSPU and physical QoL. Conclusions and Implications: PUI may associate with poor QoL in people with ADHD via psychological distress. Programs on reducing PUI for people with ADHD are needed.

Exploring health literacy categories among an Iranian adult sample: a latent class analysis.

General and electronic health literacy are important factors engaging in healthy behaviors and maintaining good health. The present study explored demographic factors associated with general and electronic health literacy in the Iranian adult population. Via stratified cluster sampling, trained interviewers visited adult residents in Qazvin Province, Iran between January, and April 2022. The participants (N = 9775; mean age = 36.44 years; 6576 [67.3%] females) completed the Health Literacy Instrument for Adults (HELIA) assessing health literacy and the eHealth Literacy Scale (eHEALS) assessing electronic health literacy. Demographic data, including age, gender, educational level, marital status, and living location (city or rural), were collected. Latent class analysis (LCA) was used to classify the participants into different health literacy/electronic health literacy levels. The relationships between health literacy/electronic health literacy levels and demographic factors were examined using χ2 or analysis of variance. The LCA used HELIA scores to suggest five classes of health literacy and eHEALS scores to suggest three classes of electronic health literacy. For general and electronic health literacy, similar relationships were with demographic factors: females as compared with males had better general/electronic health literacy; younger people as compared with older people had better general/electronic health literacy; higher educational level was associated with better general/electronic health literacy; and city residents as compared with rural residents had better general/electronic health literacy. In conclusion, Iranian governmental agencies may wish to target on males, older adults, people with low educational level, and rural residents to improve their health literacy.

Validation of two brief instruments (the SURE and CollaboRATE) to measure shared decision-making in patients with restless legs syndrome.

Restless legs syndrome (RLS) is a common neurological disorder characterised by an urge to move arms and legs, usually associated with discomfort, pain, motor restlessness, and sleep disturbance. An individually adapted treatment is needed but difficult to optimise, which makes shared decision-making (SDM) important. However, brief validated instruments on how patients with RLS perceive their involvement in treatment decisions are lacking. Therefore, the aim was to validate two instruments, SURE (Sure of myself, Understand information, Risk-benefit ratio, Encouragement, i.e., to assess decisional conflict) and CollaboRATE (brief patient survey focused on SDM, i.e., to assess SDM), in patients with RLS. A cross-sectional design, including 788 participants with RLS (65% females, mean [SD] age 70.8 [11.4] years) from a national patient organisation for RLS, was used. A postal survey was sent out to collect data regarding weight, height, comorbidities, demographics, and RLS-related treatment data. The following instruments were included: the SURE, CollaboRATE, Restless Legs Syndrome-6 Scale, and eHealth Literacy Scale. Confirmatory factor analysis and Rasch models were used to assess the validity and reliability of the SURE and CollaboRATE. Measurement invariance, unidimensionality, and differential item functioning (DIF) across age, gender, and medication groups were assessed. The SURE and CollaboRATE were both identified as unidimensional instruments with satisfactory internal consistency. No DIF across age and gender was identified, while significant DIF was observed for both the SURE and CollaboRATE regarding medication use categories. However, both the SURE and CollaboRATE are potential instruments to be used in research, but also as reflection tools by healthcare professionals, patients, and students to explore and assess SDM, and support its development in clinical care.

Validation of the Thai Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) among young adults.

BACKGROUND: The Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) is a consistent and comprehensive instrument to assess symptoms of specific internet-use disorders including those related to gaming, shopping, pornography use disorder, social networks use and gambling considering criteria in the eleventh revision of the International Classification of Diseases (ICD-11). However, to date, there is little evidence supporting instruments assessing major types of specific internet use disorders in Thailand. The aim of this present study was to assess the psychometric properties of the ACSID-11 among Thai young adults. METHODS: A total of 612 participants were recruited. A confirmatory factor analysis (CFA) examined construct validity of the ACSID-11. Cronbach's α and McDonald's ω were used to assess reliability of the ACSID-11. Pearson correlations examined relationships between ACSID-11 domains and Internet Gaming Disorder Scale-Short Form (IGDS9-SF) scores. RESULTS: The CFA supported validity of the Thai version of the ACSID-11 and a four-factor structure. Specific domains of the Thai ACSID-11, particularly gaming, were positively and significantly correlated with IGDS9-SF scores. CONCLUSIONS: Data indicate that the Thai version of the ACSID-11 is a valid and reliable instrument to assess major types of specific internet use disorders. Additional studies are needed to further examine the validity and reliability of the Thai ACSID-11.

Psychometric properties of the Persian Gaming Disorder Test and relationships with psychological distress and insomnia in adolescents.

BACKGROUND: Gaming Disorder (GD) was recently included by the World Health Organization (WHO) as a psychiatric condition in the eleventh revision of the International Classification of Diseases (ICD-11) and is a concern worldwide, including in Iran. Thus, based on the ICD-11 criteria, a Persian version of the Gaming Disorder Test (GDT) was developed to facilitate assessment of GD. METHODS: The present study used classical test theory and Rasch analysis to examine the psychometric properties of the Persian GDT. Iranian adolescents (n = 3837; 2171 [56.6%] males; mean [SD] age = 16.02 [1.4] years) completed the GDT and other instruments assessing disordered gaming, psychological distress, and insomnia. RESULTS: Overall, the psychometric properties of the Persian GDT were satisfactory based on classical test theory (i.e., confirmatory factor analysis corroborated the unidimensional structure of GDT) and Rasch analysis (i.e., fit statistics suggested that all items were embedded in the concept of GD). Moreover, the Persian GDT was found to be sex-invariant, displaying no items with substantial differential item functioning across sexes. Additionally, it was found that GD mediated associations between time spent gaming and measures of psychological distress and insomnia. CONCLUSION: The Persian GDT is a convenient and short instrument for assessing GD among Iranian adolescents. The mediating roles of GD in the associations between time spent gaming and psychological distress and between time spent gaming and insomnia suggest that targeting features of GD may reduce psychological distress and improve sleep for Iranian adolescents.

The Fear of COVID-19 Scale: A meta-analytic structural equation modeling approach.

The widespread administration and multiple validations of the Fear of COVID-19 Scale (FCV-19S) in different languages have highlighted the controversy over its underlying structure and the resulting reliability index. In the present study, a meta-analysis based on structural equation modeling (MASEM) was conducted to assess the internal structure of the seven-item, 5-point Likert-type FCV-19S version, estimate an overall reliability index from the underlying model that best reflected the internal structure (one τ-equivalent factor, one congeneric factor, or two-factor models), and perform moderator analyses for the model-implied interitem correlations and estimated factor loadings. A Pearson interitem correlation matrix was obtained for 48 independent studies, from which a pooled matrix was calculated following a random-effects multivariate meta-analysis. The results from the one-stage MASEM analysis showed that the two-factor model properly fitted the pooled matrix, while the τ-equivalent and congeneric one-factor models did not. Even though, the use of a bifactor model exhibited the predominance of the general factor over the domain-specific ones. High omega coefficients were obtained for the entire scale (.91) and the psychological (.83) and physiological (.83) symptoms subscales. Moderator analyses evidenced an increase in the estimated factor loadings, as well as in the reliability of the FCV-19S, when the standard deviation of the total scores increased and when the FCV-19S was administered to specific (vs. general) populations. The FCV-19S can be therefore considered as a highly related two-factor scale whose reliability makes it suitable for applied and research purposes. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A phubbing scale tested in Bangladesh, Iran, and Pakistan: confirmatory factor, network, and Rasch analyses.

BACKGROUND: Phubbing, a phenomenon of ignoring others in face-to-face conversations due to mobile phone use, can be assessed using a Phubbing Scale (PS). Recently, the PS has been shortened into an eight-item version, the PS-8. However, psychometric properties of the PS-8 among Iranian, Bangladeshi and Pakistani individuals remain understudied, especially using advanced psychometric testing, such as Rasch and network analyses. METHODS: Participants residing in Iran, Bangladesh, and Pakistan (n = 1902; 50.4% females; mean age = 26.3 years) completed the PS-8 and the Internet Disorder Scale-Short Form (IDS9-SF) via an online survey. Network analysis was used to examine if PS-8 items were differentiated from IDS9-SF items; confirmatory factor analysis (CFA) was used to examine the factor structure and measurement invariance of the PS-8; Rasch modeling was used to examine the dimensionality of the PS-8 and differential item functioning (DIF). RESULTS: Network analysis showed that PS-8 items were clustered together with a distance to the IDS9-SF items. The CFA results supported a two-factor structure of the PS-8, and the two-factor structure was found to be invariant across countries and women and men. Rasch model results indicated that the two PS-8 subscales were both unidimensional and did not display DIF across countries and gender/sex. CONCLUSION: The PS-8 is a feasible and robust instrument for healthcare providers, especially mental health professionals, to quickly assess and evaluate individuals' phubbing behaviors.

Psychometric properties of the Depression, Anxiety, and Stress Scale (DASS-21) among different Chinese populations: A cross-sectional and longitudinal analysis.

Given that there is limited evidence concerning the psychometric properties of DASS-21 when applied to primary school students, the present study undertook a comprehensive exploration of the psychometric evidence supporting the use of the DASS-21 within this demographic. The research comprised three studies. In Study 1, the basic psychometric properties of internal consistency and construct validity were examined. A total of 3138 primary school students from three provinces in mainland China participated. The internal reliability of the overall scale was 0.93, and for all the subscales, it was higher than 0.80. Construct validity was partially supported. Both exploratory and confirmatory factor analyses upheld the factorial validity of the original three-factor structure. While convergent validity was established, the results showed unsatisfactory discriminant validity. The bifactor model showed that DASS-21 raw scores predominantly indicated the general factor, evidenced by the high explained common variance and omega-hierarchical values. However, the contributions from the three specific factors were minimal, with their omega hierarchical values all below 0.15. In Study 2, a longitudinal design was adopted, tracking 1366 primary school students from Southwest China over a three-month interval. The results further confirmed that the DASS-21 exhibited scalar time-invariance. The latent mean analysis showed that there were no statistically significant differences in the latent means of depression, anxiety, and stress between Time 1 and Time 2. In Study 3, which included 364 college students and 483 enterprise workers, the results demonstrated that the DASS-21 had measurement invariance across different populations. The latent mean analysis further confirmed that, in terms of the latent mean of all three subscales, both college students and enterprise workers had significantly higher scores than primary school students. Overall, the findings indicated that the DASS-21 is a suitable tool for screening schoolchildren for general psychological distress, but it is not suitable for discerning distinct negative mood state disorders.

Cross-Cultural Adaptation and Psychometric Properties of the Swahili Version of the European Organization for Research and Treatment of Cancer (EORTC) QLQ-BR45 among Breast Cancer Patients in Tanzania.

Breast cancer is the most frequent cancer in women in Africa and contributes to premature death and poor quality of life. This study aimed to determine the validity, reliability, and psychometric properties of the Swahili version of EORTC QLQ-BR45 among women with breast cancer in Tanzania. A cross-sectional study design with non-probability convenience sampling was employed. Data were collected in two tertiary hospitals and one national cancer institute; 414 participants completed the EORTC-QLQ-C-30 and EORTC-QLQ-BR45. The reliability of QLQ-BR45 was measured using Cronbach's alpha and McDonald's Omega coefficients. The factor structure of EORTC QLQ-BR45 was assessed using confirmatory factor analysis. The internal consistencies for the five dimensions were all above 0.7 indicating satisfaction, except for systemic therapy side effects with a marginal value of 0.594 and significant correlations between the dimensions of QLQ-C30 and BR45. The final model fit well to the data, with the comparative fit index = 0.953, Tucker-Lewis index = 0.947, root mean square error of approximation = 0.041 (90% CI: 0.035, 0.046), and standardized root mean square residual = 0.072. In conclusion, the QLQ BR45 Swahili version displayed good reliability, validity, and psychometric properties and can be used in Swahili-speaking Sub-Saharan countries.