Original Items Research Articles

Adaptation and validation of the Adolescent Psychotic-like Symptom Screener (APSS-6) in Spain: evidence from adult population.

Psychotic-like experiences are common in the general population and an important indicator of psychological vulnerability. One of the used instruments for their assessment is the Adolescent Psychotic-Like Symptom Screener (APSS). However, there are few studies on the APSS psychometric characteristics in different cultural contexts. The aim of this study is to adapt the instrument in the Spanish context and analyze its psychometric properties in an adult population. Upon the translation and adaptation of the APSS to Spanish, a sample of 287 participants (19-60 years) completed the questionnaire online together with the Symptom Assessment-45 Questionnaire (SA-45) and an ad-hoc survey on clinical and sociodemographic variables. The sample was then randomly split into two halves, the first being the calibration (n = 144) and the second the validation sample (n = 143). An exploratory factor analysis was performed with the former, and a confirmatory factor analysis was performed with the latter, together with internal consistency and convergent validity analyses. The APSS Spanish version presents a unifactorial structure comprising 6 out of the 7 original items with adequate fit and good internal consistency. This single factor structure is invariant across age, sex and history of self-reported psychopathology. The instrument also shows significant positive correlations with the SA-45 psychoticism and paranoid ideation subscales. To the best of our knowledge, this is the first study that has conducted a psychometric analysis of the APSS in adult population. The Spanish version of the APSS shows adequate reliability, construct and convergent validity in adults, therefore provides a handy tool to be used for the screening of psychotic-like experiences in the Spanish general population.

QOL-21. PSYCHOMETRIC VALIDATION OF THE FEAR OF CANCER RECURRENCE INVENTORY FOR PRIMARY BRAIN TUMOR PATIENTS

Abstract BACKGROUND Fear of cancer recurrence and progression (FCR) is a significant concern among those living with primary brain tumor and may be distinct compared to FCR in other cancer populations due to poorer prognosis, neurologic symptoms, and often lifelong treatment. The gold-standard comprehensive assessment tool for FCR–the FCR Inventory (FCRI)–includes 42 items with seven subscales. Validation of the FCRI scale excluded those with primary brain tumors. The present study is the first examination of the psychometric properties of the full FCRI in a heterogeneous sample of patients with primary brain tumors. METHODS Adult patients with primary brain tumors (n=334) completed the FCRI, with six additional brain tumor-specific items, and psychological, medical, and demographic questionnaires. In accordance with best practices of measure development, exploratory factor analysis (EFA) was conducted on the FCRI at the subscale level. Correlations investigated construct validity. RESULTS EFA largely supported the overall psychometric properties of the original FCRI. Several subscales were unchanged: Psychological Distress, Functioning Impairments, Insight, and Reassurance. One brain tumor-specific item (researching treatments) exhibited good fit on the Coping Skills subscale. On the Severity subscale, one item (belief that the tumor will not return) did not fit with an otherwise strong one-factor model. Additionally, five new brain tumor-specific items demonstrated good fit with the Triggers subscale. The resultant FCRI-Brain includes 41 original FCRI items plus six new brain tumor-specific items. FCRI-Brain demonstrated good convergent validity with measures of depression (r=.72), anxiety (r=.75), and death anxiety (r=.80; ps<.05). CONCLUSIONS This is the first validation of the comprehensive FCRI in patients with primary brain tumors. Factor analysis identified a theoretically similar and brain-tumor specific seven-factor model for the FCRI-Brain. Item-level and subscale statistics will be presented, including factor iteration and construction. Future work will use the FCRI to investigate FCR intervention efficacy in neuro-oncology.

Transcultural adaptation and validation of the Eating Self-Efficacy Brief Scale (ESEBS): the Brazilian version

PurposeThis study aimed to develop and validate the Brief Eating Self-Efficacy Scale (ESEBS-BR) in Brazilian Portuguese, addressing the lack of tools to assess eating self-efficacy beliefs in Portuguese-speaking populations.MethodThe study sought to cross-culturally adapt the scale, evaluate its internal structure, validate its reliability and validity, and explore potential associations between eating self-efficacy and eating behaviors. The cross-cultural adaptation process involved translation and back-translation, expert committees, and pre-testing. Scale validation was conducted with 228 participants, including reliability analyses, confirmatory factor analysis, and correlations with established measures of eating behavior.ResultsThe ESEBS-BR, maintaining all 8 original items, demonstrated high reliability, with a two-factor structure model confirmed by confirmatory factor analysis. Significant correlations were found between ESEBS-BR scores and measures of binge eating and eating behaviors, validating its criterion validity.ConclusionsThe development and validation of the ESEBS-BR represent a significant contribution to the assessment of eating self-efficacy in the Brazilian population. The scale proved to be sensitive, reliable, and valid, offering an important tool for research and clinical interventions related to eating behavior.Level of evidence: V, descriptive cross-sectional study.

Updated-Food Choice Questionnaire: Cultural Adaptation and Validation in a Spanish-Speaking Population from Mexico.

Determinants and motives related to food selection have evolved in a globalized and changing world. The traditional and useful Food Choice Questionnaire (FCQ), created in 1995, needs to be updated, adapted to new scenarios, and validated. This study aimed to: (1) assess face validity (FV) of the original 36-item FCQ, (2) generate an Updated-FCQ (U-FCQ) and assess its content validity (CV) (instrument suitability), and (3) evaluate its construct validity and reliability in a Spanish-speaking population from Mexico. FV involved a panel of nutrition professionals (NPs) rating the original items' clarity, relevance, specificity, and representativeness. A literature review process updated the FCQ by adding new items. CV with a second NP panel allowed calculating content validity ratio (CVR). Construct validation was performed via exploratory and confirmatory factor analysis (EFA-CFA). Internal consistency through Cronbach's alpha (CA) and test-retest reliability via intra-class correlation (ICC) were assessed. The FV (n = 8) resulted in the modification of 11 original items. The literature review added 36 new items (15 from previous adaptations and 21 original items). The CV (n = 13) identified nine items (non-acceptable CVR), prompting reformulation of seven and removal of two. The NPs' feedback added six new items. The EFA-CFA (n = 788) developed a 75-item U-FCQ with eight dimensions: sensory appeal, mood, health and nutritional content, price, food identity, environmental and wildlife awareness, convenience, and image management. CA ranged from 0.74-0.97 (good-excellent) and ICC from 0.51-0.78 (moderate-good). This study provides a useful instrument for the assessment of food choices and lays the groundwork for future cross-cultural comparisons, expanding its applicability in wider settings.

Development of a Short-Form Hwa-Byung Symptom Scale Using Machine Learning Approaches.

Background/Objectives: Hwa-byung (HB), also known as "anger syndrome" or "fire illness", is a culture-bound syndrome primarily observed among Koreans. This study aims to develop a short-form version of the HB symptom scale using machine learning approaches. Methods: Utilizing exploratory factor analysis (EFA) and various machine learning techniques (i.e., XGBoost, Logistic Regression, Random Forest, Support Vector Machine, Decision Tree, and Multi-Layer Perceptron), we sought to create an efficient HB assessment tool. A survey was conducted on 500 Korean adults using the original 15-item HB symptom scale. Results: The EFA revealed two distinct factors: psychological symptoms and somatic manifestations of HB. Statistical testing showed no significant differences between using different numbers of items per factor (ANOVA: F = 0.8593, p = 0.5051), supporting a minimalist approach with one item per factor. The resulting two-item short-form scale (Q3 and Q10) demonstrated high predictive power for the presence of HB. Multiple machine learning models achieved a consistent accuracy (90.00% for most models) with high discriminative ability (AUC = 0.9436-0.9579), with the Multi-Layer Perceptron showing the highest performance (AUC = 0.9579). The models showed balanced performance in identifying both HB and non-HB cases, with precision and recall values consistently around 0.90. Conclusions: The findings of this study highlighted the effectiveness of integrating EFA and artificial intelligence via machine learning in developing practical assessment tools. This study contributes to advancing methodological approaches for scale development and offers a model for creating efficient assessments of Korean medicine.

Design and Validation of a University Education Peer Observation Tool

Objective: The aim of this study was to design and validate a university education PoT instrument. Theoretical Framework: It has become a priority to implement Peer Observation of Teaching (PoT) in the domain of higher education. There are different PoT approaches, a social credentialism model and a feedback-oriented approach. Method: The Higher Education-PoT (HE-PoT) tool was designed ad hoc following observational methodology principles. The original items were drawn from a systematic review of PoT tools by Otero-Saborido et al. (2024). The procedure consisted of two phases: in the first qualitative phase, items from the tool were selected and circulated within a group of experts; in the second quantitative phase, the items were quantified using the Aiken coefficient Results and Discussion: It was initially based on a systematic review of PoT tools and subsequently subjected to 4 rounds of revisions by Physical Education and Sports Science teaching experts. The final tool consisted of a total of 33 descriptive categories divided into 11 items. The validity of all item contents was calculated using Aiken's coefficient (value equal to 0.75 or above, except for 2 items which scored 0.66) and all categories obtained values above 0.75. A total of 25 of the 33 categories presented values over 0.90. Research Implications: Future works should test the tool reliability so that it can be used to improve teaching following collaborative approaches. Originality/Value: Validated PoT tools are generally lacking in university education. The designed tool includes a number of items that contribute to a sustainable observation for teachers.

Comparing the register of seventeenth-century Dutch business letters to private letters: formulaic language and French-origin items

Abstract In this article, we examine, quantitatively and qualitatively, Dutch business letters written by merchants, focusing on formulaic phrases and French suffix borrowing. The letters are part of the Prize Papers, the collection of documents confiscated by the English during times of warfare. We compare these business letters to private letters from the same source, and address the question whether the business letters constitute a particular register. The business letters, written by upper and upper-middle ranked male merchants from the seventeenth century, appear to differ from private letters written by people with a similar social profile. Frequent formulae highly characteristic of seventeenth-century private letters occur to a much lesser extent, if at all, in the business letters. Other formulae, some including Romance origin items (Laus deo, saluut, cordiale), occur more frequently in the business letters. The frequency of verbs with the French-origin suffix -eren is found to be higher in the business letters than in the private letters. Functional explanations are presented for these register differences: formulaic language is correlated with writing experience, and the use of French-origin items may be connected to the common vocabulary used in international trading networks. Similarities in phrasing are also revealed in a qualitative analysis of examples of private and business letters by the same writer. This finding demonstrates how similar private and business letters often were, thus challenging the idea of distinct registers.

Application of the Contemporary Psychometrics for Assessing Economic Literacy

Currently, new skills and various types of "new literacies" relevant to the modern world are becoming issues of growing importance. One of them is economic literacy; however, there are only few assessment instruments that fulfil the academic requirements for its assessment among university students. One of such internationally established instruments is the Test of Understanding in College Economics (TUCE), which is a popular tool in empirical studies of economic literacy in many countries around the world. Despite its advantages, the currently available version of the TUCE designed for American colleges back in 2006, is prone to cheating and provides limited opportunities for formative feedback. The purpose of this paper is to present the Updated Test of Understanding in College Economics (U-TUCE). In developing the U-TUCE, we utilized the capabilities of contemporary psychometrics, which offer sufficient advances in overcoming all limitations of the original TUCE mentioned before. First, we present a revised theoretical framework of the U-TUCE, highlighting that the test measures different types of mastery of economic literacy. Second, we describe the approaches used for modifying the TUCE items and developing new items. A half of the original test items have been replaced or redesigned to reflect the economic context that has changed since 2006. Third, we utilize the logic of automatic item generation algorithms to increaseg the level of test protection against cheating. We made all changes in such a way as to maintain comparability with the previous versions of the TUCE test if necessary. Finally, the use of the Item Response Theory (IRT) is paired up with that of Cognitive Diagnostic Modeling (CDM) to ensure the quality of the U-TUCE and enhance its formative value. We show that IRT can be used to estimate the construct as a whole (which is of interest to researchers, administrators, and policy makers), while CDM provides information relating to each of the construct components, which are of interest to educational practitioners and students themselves. The results of the data analyses show that the test can be used for both purposes simultaneously.

Developing an Innovation Culture Measurement Construct for Healthcare Organizations

Objective: To develop an innovation culture measurement model specific to healthcare, by amending the original scale items of the Dobni innovation culture construct and model developed in 2008. Design: The project performed exploratory factor analysis from data collected on surveys, using redesigned scale items from the original Dobni innovation culture measurement. Setting: Managers and administrators from a Provincial Health Services Authority in Canada. Results: An exploratory factor analysis was performed on the 43 scale items used in the survey. The scale items were reduced to 31 and loaded on to new factors creating an Innovation Culture Measurement Model specific to healthcare. Conclusion: Although exploratory, the new model and scale items provide a foundation for researchers to advance innovation culture measurement in healthcare. Academically, measuring innovation culture has created a rich research stream, but to date has not exclusively focused on healthcare. Pragmatically, measuring innovation culture provides healthcare leaders and policy setters a benchmark to assess internally over a period of time or towards other entities.

Translation and Validation of the Diabetes Knowledge Questionnaire in Indonesian Patients With Type 2 Diabetes.

The purpose of the study was to translate and cross-culturally adapt the 24-item Diabetes Knowledge Questionnaire (DKQ) for Indonesian patients with type 2 diabetes (T2D) and evaluate its psychometric properties. Forward-backward translation, adaptation involving 7 experts, and pretesting to develop the Indonesian version of DKQ were conducted. Psychometric analysis was carried out among T2D patients from 40 primary health care centers in Indonesia. Known-group, convergent and discriminant validity, internal consistency and test-retest reliability were assessed. Additionally, a descriptive item analysis was conducted. In total, 39 patients participated in the pretesting and 304 patients in the validation process and descriptive analysis. Of the 24 items, 2 were adjusted during the adaptation process, and 1 item was deleted because it did not adequately reflect the original item. Known-group validity was demonstrated because patients with younger ages, higher educational levels, and longer diabetes duration had significantly higher DKQ scores. Convergent validity was demonstrated by a significant positive correlation of the DKQ scores with overall treatment satisfaction. The 23-item DKQ Bahasa Indonesia showed satisfactory internal consistency (Cronbach's α = 0.73; omega total = 0.72) and good test-retest reliability (intraclass correlation coefficient = 0.87 in a sample of 27 patients). No floor and ceiling effects were found in the item analysis. The study demonstrates adequate validity and reliability of the 23-item DKQ Bahasa Indonesia for assessing diabetes knowledge in Indonesian primary care patients with T2D. This instrument can be used to identify room for improvement and develop diabetes education programs.

A Study on Recycling and Remodeling of Old Things by College Students

With the development of modern society, the demand for college students’ goods is increasing, and the replacement of goods is also accelerating gradually. This situation has led to a common dilemma of how to handle old items with sentimental value that cannot be preserved. Therefore, recycling, remodeling, and preservation of these old items become the central theme of this study. The paper describes the recycling of old objects, categorizing them by their uses, shapes, and materials, and designing trendy toys that match the original properties of the original items. The paper also talks about actively developing and utilizing the waste resources in life.

Tailoring of the career adaptabilities scale for Indonesian youth

This research delves into the validation of the Indonesian version of the Career Adaptabilities Scale (CAAS), with a particular focus on young Indonesians aged 10 to 24 years. The original CAAS, already translated into various languages, required thorough validation for effective use among Indonesian youth. By employing Rasch analysis and involving 1953 adolescents (Mean Age = 17.2, Standard Deviation = 2.61) from 20 provinces in Indonesia, the study tested the scale’s relevance to this demographic. The findings confirmed the suitability of all original CAAS items for Indonesian young people, leading to the validation of the ID-CAAS. This adaptation represents a significant advancement in assessing and fostering career adaptability in Indonesian youth, with the adaptation tailored to their unique cultural and career aspirations.

Towards similar alignment and unique uniformity in collaborative filtering

Representation learning, with its desired properties, including Alignment and Uniformity, has recently emerged as an effective approach in collaborative filtering (CF) for recommender systems. Alignment measures the distance between positive pairs, and uniformity describes the distribution of all samples on the unit hypersphere. Despite the effectiveness of existing research, the challenges of insufficient alignment and uniformity bias persist in studies on the desired properties of recommender systems: (1) Sparse interaction information leads to an insufficient alignment representation. (2) Calculating the uniformity loss based on duplicate samples introduces bias, which affects the overall representation uniformity.Building on aforementioned challenges, we propose a Similar Alignment and Unique Uniformity model called SUAU. SUAU mitigates insufficient alignment by introducing additional item-similar item pairs for model training and employing a uniqueness strategy to prevent uniformity bias. More specifically, we propose a similar items generation method that identifies the most similar items based on the interaction behavior of the original items’ related users to form item-similar item pairs. The experimental results obtained on three highly sparse datasets demonstrate that the propose model achieves superior alignment and uniformity compared with state-of-the-art models, notably surpassing the best CF methods in terms of recommendation performance. We have open-sourced the source code on a publicly accessible website: https://github.com/ZzYUuuu/SUAU.

Quantification and Categorization of Macroplastics (Plastic Debris) within a Headwaters Basin in Western North Carolina, USA: Implications to the Potential Impacts of Plastic Pollution on Biota

Plastic production on a commercial scale began in the 1950s, reaching an annual production of 460 million metric tons in 2019. The global release of 22% of produced plastics into the environment has raised concerns about their potential environmental impacts, particularly on aquatic ecosystems. Here, we quantify and categorize plastic debris found along Richland Creek, a small, heavily forested watershed in western North Carolina, USA. Plastics within the riparian zone of seven 50 m reaches of Richland Creek and its tributaries were sampled two or three times. The 1737 pieces of collected plastic debris were returned to the lab where they were measured and categorized. A small-scale laboratory study using seven of the items collected was performed to determine their ability to break down into microplastics (particles < 5 mm in size). The majority (76%) of collected items were made of either plastic film (particularly bags and food wrappers, 43%) or hard plastics (e.g., bottles, 2%). However, when viewed on a surface area basis, films and synthetic fabrics (e.g., clothing, sleeping bags) equally dominated. Roughly three-quarters of the items collected had a width less than 10 cm, due primarily to the fragmentation of the original items; over two-thirds of the collected items were fragmented. Items composed of foams and films exhibited the highest fragmentation rates, 93% and 86%, respectively. Most collected plastics were domestic in nature, and the number of items increased downstream through more developed areas. Laboratory studies showed that plastic debris has a propensity to break down into microplastics. We believe the data collected here should be replicated in other streams, as these freshwater environments are the source of plastics that eventually enter the oceans.

Item response theory validation of the Oxford knee score and Activity and Participation Questionnaire: a step toward a common metric

ObjectivesThe Oxford knee score (OKS) and OKS Activity and Participation Questionnaire (OKS-APQ) are patient-reported outcome measures used to assess people undergoing knee replacement surgery. They have not explicitly been tested for unidimensionality (whether they measure one underlying trait such as ‘knee health’). This study applied item response theory (IRT) to improve the validity of the instruments to optimize for ongoing use. Study Design and SettingParticipants undergoing primary total knee replacement (TKR) provided preoperative and postoperative responses for OKS and OKS-APQ. Confirmatory factor analysis (CFA) were performed on the OKS and OKS-APQ separately and then on both when pooled into one. An IRT model was fitted to the data. Results2972 individual response patterns were analyzed. CFA demonstrated that when combining OKS and OKS-APQ as one instrument, they measure one latent health trait. A user-friendly, free-to-use, web app has been developed to allow clinicians to upload raw data and instantly receive IRT scores. ConclusionsThe OKS and OKS-APQ can be combined to use effectively as a single instrument (producing a single score). For the separate OKS and OKS-APQ the original items and response options can continue to be posed to patients, and this study has confirmed the suitability of IRT-weighted scoring. Applying IRT to existing responses converts traditional sum scores into continuous measurements with greater granularity, including individual measurement error.

Denoising and Augmented Negative Sampling for Collaborative Filtering

Negative sampling plays a crucial role in implicit-feedback-based collaborative filtering, where it leverages massive unlabeled data to generate negative signals for guiding supervised learning. The current state-of-the-art approaches focus on utilizing hard negative samples that contain more information to establish a better decision boundary. To strike a balance between efficiency and effectiveness, most existing methods adopt a two-pass approach: in the first pass, a fixed number of unobserved items are sampled using a simple static distribution, while, in the second pass, a more sophisticated negative sampling strategy is employed to select the final negative items. However, selecting negative samples solely from the original items in a dataset is inherently restricted due to the limited available choices, and thus may not be able to effectively contrast positive samples. In this paper, we empirically validate this observation through meticulously designed experiments and identify three major limitations of existing solutions: ambiguous trap, information discrimination, and false negative samples. Our response to such limitations is to introduce “denoised” and “augmented” negative samples that may not exist in the original dataset. This direction renders a few substantial technical challenges. First, constructing augmented negative samples may introduce excessive noise that eventually distorts the decision boundary. Second, the scarcity of supervision signals hampers the denoising process. To this end, we introduce a novel generic denoising and augmented negative sampling (DANS) paradigm and provide a concrete instantiation. First, we disentangle the hard and easy factors of negative items. Then, we regulate the augmentation of easy factors by carefully considering the direction and magnitude. Next, we propose a reverse attention mechanism to learn a user’s negative preference, which allows us to perform a dimension-level denoising procedure on hard factors. Finally, we design an advanced negative sampling strategy to identify the final negative samples, taking into account both the score function used in existing methods and a novel metric called synthesization gain. Through extensive experiments on real-world datasets, we demonstrate that our method substantially outperforms state-of-the-art baselines. Our code is publicly available at https://github.com/Asa9aoTK/ANS-Recbole.

Validation of the Social Reactions-Online Questionnaire Among Adults Who Disclosed Online Victimization Via #MeToo.

The #MeToo movement of 2017 ushered in a wave of online disclosure of sexual victimization. The ways in which people respond to the disclosure of sexual victimization can play an important role in a survivor's recovery process. This study conducted an exploratory structural equation model (ESEM) of a questionnaire aimed at characterizing the ways in which others respond to the disclosure of sexual victimization in online spaces. Participants (N = 767) were recruited via social media to participate in a study of disclosure of unwanted sexual experiences, with 25.4% (n = 195) endorsing disclosing an unwanted sexual experience online using the hashtag #MeToo and were included in analyses. Participants completed the Online Social Reactions Questionnaire (OSRQ). The questionnaire included all 16 original items from the Short Version of the Social Reactions Questionnaire (SRQ). An additional 8 items specific to online disclosure, not covered by the SRQ were added at the end, bringing the proposed OSRQ to a total of 24 items. The updated measure included the 16 original items of the Short Version of the SRQ as well as 8 additional items, for a total of 24 items. ESEM confirmed the OSRQ as a 23-item measure with a four-factor structure: (a) Turning Against+, (b) Unsupportive Acknowledgment, (c) Positive Support+, and (d) Online Sharing; model fit: χ2(186) = 387.125, p < .001, CFI = 0.976, RMSEA = 0.074 (90% CI [0.064, 0.085]), SRMR = 0.034. The OSRQ revealed excellent Cronbach's alpha (α = .93) and McDonald's Omega (ω = .93). The OSRQ represents a new measure that can be used to characterize the way in which others respond to online disclosure of sexual victimization.

Cross-cultural validation of the genetic counseling outcome scale in Korea.

The Genetic Counseling Outcome Scale (GCOS-24) was developed to measure patient-reported outcomes to evaluate the effectiveness of genetic counseling and testing services. In the current study, the Korean version of GCOS (K-GCOS) was developed to reflect the sociocultural characteristics of Korea, and its clinical applicability was assessed. Overall, 231 Koreans, including patients with genetic diseases and their family members, participated and completed the K-GCOS, Hospital Anxiety and Depression Scale (HADS), Multidimensional Health Locus of Control (MHLC) scale, and Satisfaction with Life Scale (SWLS). Validity was examined by assessing the correlations between K-GCOS scores and other relevant scale scores. Reliability was confirmed using Cronbach's alpha and test-retest scores, measured over 2 weeks. We performed exploratory factor analysis of the five structures of GCOS-24. For K-GCOS, four-factor structures were identified: "cognitive-behavioral control," "uncertainty about control," "hope," and "emotional regulation." Four original GCOS-24 items were removed because of low factor loadings and small inter-item correlations. K-GCOS-20 scores were positively correlated with SWLS (r = 0.456) and MHLC-internal (r = 0.213) scores but negatively correlated with HADS (anxiety r = -0.428, depression r = -0.469) and MHLC-internal (r = -0.278) scores. These findings demonstrate that K-GCOS-20 is a reliable and valid tool for evaluating genetic counseling services in Korea.

Development and validation of the Italian version of the pain attitudes and beliefs scale-musculoskeletal (PABS-MSK) among physiotherapists working with patients with musculoskeletal chronic pain

BackgroundDue to their high prevalence, long-term disability, work absenteeism, and low productivity capacity they often lead to, nociplastic and chronic pain are a major public health and social concern. Although high-level literature recommends the Biopsychosocial model, the traditional Biomedical approach is still very diffuse in clinical practise. It is recognized that the beliefs and attitudes of clinicians have an impact on those of patients. The Exploratory Factor Analysis (EFA) was used to validate the Italian version of the PABS-MSK questionnaire. ObjectivesThe aim of this study was to translate the original PABS-MSK items into Italian and then assess the construct validity of the new Italian version of the PABS-MSK questionnaire, addressed to physiotherapists, to gain knowledge about physiotherapists’ attitudes and beliefs toward the management of chronic musculoskeletal pain and to correlate them with individual characteristics. MethodsAn EFA was performed to validate the modified-Italian-PABS-MSK questionnaire. Furthermore, multivariable regression models were implemented to assess any statistically significant differences in the total score of the two dimensions for sociodemographic and occupational characteristics. ResultsThe sample consisted of 563 subjects who are members of the order of physiotherapists.The Parallel Analysis suggested extracting two factors, and the EFA showed that the first scale (which we called Biopsychosocial) had higher factor loadings values, while two items (7 and 19) did not adequately represent the other scale (Biomedical).Moreover, the regression models showed that younger and freelance clinicians are more prone to adhere to the Biopsychosocial model. ConclusionsThe modified-Italian-PABS-MSK questionnaire appears to measure two factors related to the Biopsychosocial and Biomedical beliefs of physiotherapists in the management of chronic musculoskeletal pain. The results suggest that professional training based on the evidence and recommendations of international guidelines is necessary to improve the adherence of physiotherapists to the Biopsychosocial model. However, additional studies are needed to further validate the scales, and assess the test-retest reliability, responsiveness, and construct validity.

Development and psychometric properties of a perceived social support scale for nurses returning to work after childbirth

BackgroundThere has been an increase in the number of nurses returning to work after childbirth (NRWCs) in Chinese hospital. Social support is important for NRWCs.ObjectiveTo develop and validate a perceived social support scale for NRWCs in China.MethodThe original items were based on a literature review, the social support theory, and semi-structured interviews. The Delphi technique was used to adjust further and screen the scale entries to form an initial draft of the scale. From February to October 2023, we recruited 627 NRWCs from hospitals in 12 provinces of China. The psychometric attributes of the scale were examined by construct validity, content validity, test–retest reliability, and internal consistency reliability. The STROBE checklist was used to guide the submission.Results4 dimensions and 22 items compose the initial scale. Exploratory factor analysis verified a four-factor scale structure. The confirmatory factor analysis results showed that the four-factor structure model fitted well. The resulting scale contains 4 dimensions with 18 items. The item-level content validity index ranged from 0.83 to 1.00. The Cronbach’s alpha coefficient of four dimensions and total scale were respectively 0.957, 0.899, 0.870, 0.945, 0.967. The reliability of the scale over time was further verified, with a coefficient of 0.809 for the overall scale and a range from 0.682 to 0.718 for each domain.ConclusionThe perceived social support scale for NRWCs is a reliable and valid instrument. The application of the perceived social support scale for NRWCs would improve the assessment of social support among NRWCs.