SB-Net: Synergizing CNN and LSTM networks for uncovering retrosynthetic pathways in organic synthesis.

Retrosynthesis is vital in synthesizing target products, guiding reaction pathway design crucial for drug and material discovery. Current models often neglect multi-scale feature extraction, limiting efficacy in leveraging molecular descriptors. Our proposed SB-Net model, a deep-learning architecture tailored for retrosynthesis prediction, addresses this gap. SB-Net combines CNN and Bi-LSTM architectures, excelling in capturing multi-scale molecular features. It integrates parallel branches for processing one-hot encoded descriptors and ECFP, merging through dense layers. Experimental results demonstrate SB-Net's superiority, achieving 73.6 % top-1 and 94.6 % top-10 accuracy on USPTO-50k data. Versatility is validated on MetaNetX, with rates of 52.8 % top-1, 74.3 % top-3, 79.8 % top-5, and 83.5 % top-10. SB-Net's success in bioretrosynthesis prediction tasks indicates its efficacy. This research advances computational chemistry, offering a robust deep-learning model for retrosynthesis prediction. With implications for drug discovery and synthesis planning, SB-Net promises innovative and efficient pathways.

Validating the AI-assisted second language (L2) learning attitude scale for Chinese college students and its correlation with L2 proficiency.

The positive impact of Artificial Intelligence (AI) on second language (L2) learning is well-documented. An individual's attitude toward AI significantly influences its adoption. Despite this, no specific scale has been designed to measure this attitude, particularly in the Chinese context. To address this gap, our study aims to construct the AI-Assisted L2 Learning Attitude Scale for Chinese College Students (AL2AS-CCS) and evaluate its reliability, validity, and relationship with L2 proficiency. Our research comprises two phases, each involving separate samples. In Phase One (Sample 1: n = 379), we conducted exploratory factor analysis (EFA) to determine the factor structure of the AL2AS-CCS. The resulting two-factor structure consists of 12 items, categorized into cognitive and behavioral components. In Phase Two (Sample 2: n = 429), we performed confirmatory factor analysis (CFA) to validate the factor structure and assess model fit. CFA in Sample 2 confirmed the factor structure and demonstrated a good model fit. Additionally, the AL2AS-CCS exhibited high criterion validity, internal consistency, and cross-gender invariance. Our findings suggest that the AL2AS-CCS is a valid measurement tool for assessing Chinese college students' attitude toward AI-assisted L2 learning. Moreover, Chinese college students were discovered to maintain a moderately positive attitude toward AI-assisted L2 learning. Additionally, a positive correlation was identified between this attitude and their L2 proficiency.

Multi-scale variational autoencoder for imputation of missing values in untargeted metabolomics using whole-genome sequencing data.

BACKGROUND: Missing data is a common challenge in mass spectrometry-based metabolomics, which can lead to biased and incomplete analyses. The integration of whole-genome sequencing (WGS) data with metabolomics data has emerged as a promising approach to enhance the accuracy of data imputation in metabolomics studies. METHOD: In this study, we propose a novel method that leverages the information from WGS data and reference metabolites to impute unknown metabolites. Our approach utilizes a multi-scale variational autoencoder to jointly model the burden score, polygenetic risk score (PGS), and linkage disequilibrium (LD) pruned single nucleotide polymorphisms (SNPs) for feature extraction and missing metabolomics data imputation. By learning the latent representations of both omics data, our method can effectively impute missing metabolomics values based on genomic information. RESULTS: We evaluate the performance of our method on empirical metabolomics datasets with missing values and demonstrate its superiority compared to conventional imputation techniques. Using 35 template metabolites derived burden scores, PGS and LD-pruned SNPs, the proposed methods achieved R2-scores > 0.01 for 71.55 % of metabolites. CONCLUSION: The integration of WGS data in metabolomics imputation not only improves data completeness but also enhances downstream analyses, paving the way for more comprehensive and accurate investigations of metabolic pathways and disease associations. Our findings offer valuable insights into the potential benefits of utilizing WGS data for metabolomics data imputation and underscore the importance of leveraging multi-modal data integration in precision medicine research.

Decoupled evolution of ventral and dorsal scales in agamid lizards: ventral keels are associated with arboreality.

Arboreality has evolved in all major vertebrate lineages and is often associated with morphological adaptations and increased diversification concomitant with accessing novel niche space. In squamate reptiles, foot, claw, and tail morphology are well-studied adaptations shown to be associated with transitions to arboreality. Here, we examined a less well understood trait-the keeled scale-in relation to microhabitat, climate, and diversification dynamics across a diverse lizard radiation, Agamidae. We found that the ancestral agamid had keeled dorsal but not ventral scales; further, dorsal and ventral keels are evolutionarily decoupled. Ventral keeled scales evolved repeatedly in association with arboreality and may be advantageous in reducing wear or by promoting interlocking when climbing. We did not find an association between keeled scales and diversification, suggesting keels do not allow finer-scale microhabitat partitioning observed in other arboreal-associated traits. We additionally found a relationship between keeled ventral scales and precipitation in terrestrial species where we posit that the keels may function to reduce scale degradation. Our results suggest that keeled ventral scales facilitated transitions to arboreality across agamid lizards, and highlight a need for future studies that explore their biomechanical function in relation to microhabitat and climate.

Factorial invariance of the Wechsler Intelligence Scale for Children, Fifth Edition, across the UK, US and Australia & New Zealand.

OBJECTIVES: This study examined the factorial invariance of the factor structure of the Wechsler Intelligence Scale for Children, Fifth Edition (WISC-V) across the UK, US and Australia & New Zealand (A&NZ). The factorial equivalence of cognitive assessments should be demonstrated before assuming cross-culture generalizability and interpretations of score comparisons. METHODS: Data were obtained from the UK, US and A&NZ normative standardizations of the WISC-V. The samples consisted of 415 UK, 2200 US and 528 A&NZ children, aged 6-16. Confirmatory factor analysis was applied separately in each sample to establish the baseline model. Next, tests of factorial invariance were undertaken using the recommended hierarchical approach, firstly across the UK and A&NZ samples and then across the UK and US samples. RESULTS: The five-factor first-order scoring model was found to be excellent fit across all three samples independently. Strict factorial invariance of the WISC-V was demonstrated firstly across the UK and A&NZ and secondly the UK and US nationally representative standardization samples. Comparison of latent means found small but significant differences in female children across the UK and A&NZ samples. CONCLUSIONS: Consistent with previous research, these results demonstrate the generality of the WISC-V factor structure across the UK, US and A&NZ. Furthermore, as the WISC-V factor structure aligns with the Cattell-Horn-Carroll (CHC) model of cognitive abilities, the results add further support to the cross-cultural generalizability of the CHC model. Small but significant differences in latent factor scores found across samples support the development and use of local normative data.

Integrating very high resolution environmental proxies in genotype-environment association studies.

Landscape genomic analyses associating genetic variation with environmental variables are powerful tools for studying molecular signatures of species' local adaptation and for detecting candidate genes under selection. The development of landscape genomics over the past decade has been spurred by improvements in resolutions of genomic and environmental datasets, allegedly increasing the power to identify putative genes underlying local adaptation in non-model organisms. Although these associations have been successfully applied to numerous species across a diverse array of taxa, the spatial scale of environmental predictor variables has been largely overlooked, potentially limiting conclusions to be reached with these methods. To address this knowledge gap, we systematically evaluated performances of genotype-environment association (GEA) models using predictor variables at multiple spatial resolutions. Specifically, we used multivariate redundancy analyses to associate whole-genome sequence data from the plant Arabis alpina L. collected across four neighboring valleys in the western Swiss Alps, with very high-resolution topographic variables derived from digital elevation models of grain sizes between 0.5 m and 16 m. These comparisons highlight the sensitivity of landscape genomic models to spatial resolution, where the optimal grain sizes were specific to variable type, terrain characteristics, and study extent. To assist in selecting variables at appropriate spatial resolutions, we demonstrate a practical approach to produce, select, and integrate multiscale variables into GEA models. After generalizing fine-grained variables to multiple spatial resolutions, a forward selection procedure is applied to retain only the most relevant variables for a particular context. Depending on the spatial resolution, the relevance for topographic variables in GEA studies calls for integrating multiple spatial scales into landscape genomic models. By carefully considering spatial resolutions, candidate genes under selection by a more realistic range of pressures can be detected for downstream analyses, with important applied implications for experimental research and conservation management of natural populations.

Association between the Hopkins Falls grading scale and motor function tests in patients with multiple sclerosis.

Introduction: One of the main complications of multiple sclerosis (MS) is imbalance and walking problems that can lead to falls. This study investigated the association between a fall measurement scale called the Hopkins Falls Grading Scale (HFGS) and motor function tests in patients with MS. Material and Methods: This cross sectional study was conducted using convenience sampling on 85 patients referred to the MS Association of Mashhad, Iran, in 2023. The HFGS examined falls during the past year and divided them into 4 degrees, and the function test included the timed 25 foot walk (T25FW) test and the timed up and go (TUG) test. Kruskal-Wallis test and Spearman's correlation coefficient were used for data analysis. Results: A statistically significant association was obtained between HFGS and functional tests (T25FW and TUG) (for both P < 0.0001). A significant association was observed between the variables of age (P = 0.006), duration of the disease (P = 0.03), the use of mobility devices (P = 0.05), and HFGS. Conclusion: Considering the association between HFGS and motor function tests in MS patients, clinical experts should pay attention to patients who have slower movement and evaluate them in terms of falling status when performing motor function tests.

Burden of frailty and its correlates among the elderly: a cross-sectional study in a rural community of West Bengal.

Context: With the ageing of Indian society, providing a healthy life among older people is a public health precedence. Therefore, beforehand discovery and possible forestalment of frailty may help promote healthy ageing and dwindle the social, mental and financial burden of their families and caregivers. Aims: The study aimed to assess the proportion of frailty and its associated factors among the elderly aged 65 years and above in a rural community of West Bengal. Settings and Design: A community-based cross-sectional study was conducted among 270 elderlies selected from 15 villages out of a total 64 villages of Singur under the Hooghly District of West Bengal from January 2019 to February 2020. Materials and Methods: Cluster sampling technique was used. Data was collected using a pre-designed, pre-tested structured schedule including Fried frailty phenotype (FFP), geriatric depression scale short form (GDS 15) and mini nutritional assessment (MNA) tool. Statistical Analysis Used: Associated factors of frailty were assessed by univariate and multivariable logistic regression using SPSS version 16 software and MS Excel 2019. Results: The proportion of frailty was observed to be 23.7% and that of prefrailty 40.7%. Frailty was significantly associated with increasing age [AOR(CI) 1.2(1.1-1.3)], decreasing years of schooling [AOR(CI) 1.3(1.1-1.5)], loss of spouse [AOR(CI) 4.2(1.2-15.2)], financial dependency [AOR(CI) 19.3(2.7-139.0)], staying at home [AOR(CI) 16.3(2.7-98.2)], presence of anaemia [AOR(CI) 3.6(1.3-9.5)], at risk of malnutrition [AOR(CI) 6.5(1.9-22.3)], increasing number of falls in the last 1 year [AOR(CI) 4.3(1.2-15.6)], presence of 3 or more chronic diseases [AOR(CI) 154.7(12.1-1981.9)] and depression [AOR(CI) 8.3(2.5-27.0)]. Conclusion: The burden of frailty among the study population is relatively high. It's an intimidating situation that needs bettered screening provisions for early discovery with special stress on nutritive upliftment. Screening for depression should also be done regularly.

The validity and reliability of the Turkish version of the functional mobility scale in patients with cerebral palsy.

Objectives: The aim of this study was to investigate the validity and reliability of the Turkish version of the Functional Mobility Scale (FMS) in patients with cerebral palsy. Patients and methods: The validity and reliability study was conducted with 100 cerebral palsy patients (66 males, 34 females; mean age: 6.4±2.7 years; range, 2 to 18 years) between July 2015 and July 2018. The translation of the FMS was performed according to international standards. For test-retest reliability, 54 patients were reevaluated one week after the initial test with the Turkish version of the FMS, and Cohen's weighted kappa values were analyzed. The validity of the scale was assessed by correlating the FMS with the Gross Motor Function Classification System and the Gillette Functional Assessment Questionnaire Walking Scale. Twenty patients were evaluated by two researchers for interobserver reliability. Results: The kappa coefficients for test-retest reliability were 0.90 for FMS 5 m, 0.92 for FMS 50 m, and 0.91 for FMS 500 m. An evaluation of the validity revealed a significant correlation between FMS and the Gross Motor Function Classification System for all distances (r=-0.95, r=-0.96, and r=-0.92 for 5, 50, and 500 m, respectively; p <0.001), as well as the Gillette Functional Assessment Questionnaire Walking Scale (r=-0.95, r=-0.94, and r=-0.91 for 5, 50, and 500 meters, respectively; p <0.001). The kappa coefficients related to interobserver reliability were 0.73 for 5 m, 0.69 for FMS 50 m, and 0.81 for FMS 500 m. Conclusion: The Turkish version of the FMS can be considered a valid and reliable instrument for the assessment of cerebral palsy patients.

Prevalence of Postpartum Depression among Mothers in the Emirates of Abu Dhabi.

BACKGROUND: Postpartum depression (PPD) is a common mental health condition that affects women in a silent and covert way and is not clearly visible to the community or to health care providers. Untreated PPD has significant and long-term consequences on the mother and their child. This study aims to assess the risk of postpartum depression among women in the Emirate of Abu Dhabi and its determinants. METHOD: This is a questionnaire-based cross-sectional study conducted at primary healthcare centers in the Emirate of Abu Dhabi. The target population is women visiting the well-child vaccination clinics for their infants' vaccination. The questionnaire used consisted of socio-demographic characteristics, important histories such as obstetric, medical, and social histories, and the Edinburgh Post Partum depression scale EPPS. EPPS is a validated tool used to evaluate the probability of postpartum depression. RESULTS: The probability of postpartum depression for women visiting the well child care clinics in the Emirate of Abu Dhabi during the study period was 35%, One-third. 10% had high risk, 7% had moderate risk, and 18% had mild risk. Using logistic and linear regression, there was an association identified between postpartum depression risk and the presence of weight concern and employment status OR 5.499(2.618-11.548) and OR 0.483 (0.246-0.951), respectively (P < 0.005). From the total sample, 3.7% responded quite often or sometimes to the question of having the intention to harm themselves. CONCLUSION: EPDS is recommended to be used routinely to screen women in the postnatal period. This high prevalence of risk of postpartum depression in the UAE (One in three women) calls for a well-prepared healthcare system and community. Healthcare providers need to be prepared with better knowledge, practice, and management strategies to care for these women, for early identification and management. Further studies should be undertaken to achieve effective strategies to reduce the incidence of this condition.

Protein Production at the 100L Scale.

The Baculovirus Expression Vector System (BEVS) has revolutionized the field of recombinant protein expression by enabling efficient and high yield production. The platform offers many advantages including manufacturing speed, flexible design, and scalability. In this chapter, we describe the methods including strategies and considerations to successfully optimize and scale-up using BEVS as a tool for production (Fig. 1). As an illustrative case study, we present an example focused on the production of a viral glycoprotein.

Rome III and IV criteria are less discordant to diagnose irritable bowel syndrome in clinic patients than in community subjects.

BACKGROUND: Though Rome IV criteria for irritable bowel syndrome (IBS) are less sensitive; they select Rome III patients with greater severity and consultation behavior. Since severity of IBS may determine consultation behavior, we compared Rome III and IV criteria in clinic patients and compared with earlier published data from Indian community hypothesizing that the diagnostic discordance between these criteria would be less in clinic than in community. METHODS: Tertiary clinic patients were screened for IBS using Hindi translated-validated Rome III and IV questionnaires; IBS symptom severity scores (IBS-SSS) was also assessed. Diagnostic discordance between Rome III and IV criteria for IBS was compared with earlier published Indian community data. RESULTS: Of 110 clinic patients with functional gastrointestinal disorders, 72 met IBS criteria (47 [42.7%], 22 [20%] and three [2.7%] both Rome III and IV criteria, Rome III criteria only and Rome IV criteria only, respectively). In contrast, of 40 IBS subjects from Indian community published earlier, nine (22.5%), 28 (70%) and three (7.5%) fulfilled both Rome III and IV, Rome III only, Rome IV only criteria, respectively. Clinic patients with IBS fulfilling both Rome III and IV criteria or Rome IV criteria had higher IBS-SSS than those fulfilling Rome III criteria only (295.3 ± 80.7 vs. 205.6 ± 65.7; p < 0.00001). This difference was primarily related to pain severity and number of days with pain. CONCLUSION: Discordance between Rome IV and Rome III criteria in tertiary care clinic patients is less than in community subjects with IBS in India.

Fish scale-derived hydroxyapatite for alveolar ridge preservation.

Alveolar ridge resorption following tooth extraction poses significant challenges for future dental restorations. This study investigated the efficacy of fish scale-derived hydroxyapatite (FSHA) as a socket preservation graft material to maintain alveolar bone volume and architecture. FSHA was extracted from *Labeo rohita* fish scales and characterized using Fourier transform infrared (FTIR) analysis. In vitro, biocompatibility and osteogenic potential were assessed using Saos-2 human osteosarcoma cells. Cell viability, migration, and proliferation were evaluated using MTT and scratch assays. In vivo performance was assessed in a rat model, and FSHA was compared to a commercial xenograft (Osseograft) and ungrafted controls. Histological analysis was performed at 8-week post-implantation to quantify new bone formation. FTIR confirmed the purity and homogeneity of FSHA. In vitro, FSHA enhanced Saos-2 viability, migration, and proliferation compared to controls. In vivo, FSHA demonstrated superior bone regeneration compared to Osseograft and ungrafted sites, with balanced graft resorption and new bone formation. Histological analysis revealed an active incorporation of FSHA into new bone, with minimal gaps and ongoing remodeling. Approximately 50%-60% of FSHA was resorbed by 8 weeks, closely matching the rate of new bone deposition. FSHA stimulated more bone formation in the apical socket region than in coronal areas. In conclusion, FSHA is a promising biomaterial for alveolar ridge preservation, exhibiting excellent biocompatibility, osteogenic potential, and balanced resorption. Its ability to promote robust bone regeneration highlights its potential as an effective alternative to currently used graft materials in socket preservation procedures.

[Effects of Questionnaire-Based Psychological Survey Methods on the Evaluation Results in a Patient Cohort].

Objective To assess the influences of self-and interviewer-administered methods on the scores of anxiety and depression questionnaires among the patients with sports injuries.Methods A total of 532 participants with sports injuries treated in the Sports Medicine Center of West China Hospital,Sichuan University from November 2022 to May 2023 were included.They were randomly assigned to either the interviewer-administered group (n=270) or the self-administered group (n=262) to complete the generalized anxiety disorder (GAD-7) and the patient health questionnaire (PHQ-9) scales.The total scores and prevalence rates of anxiety and depression were compared between the two groups.Results There was no statistically significant difference in gender,occupation,or surgical site between the two groups (all P>0.05).The self-administered group had higher scores of GAD-7 and PHQ-9 scales than the interviewer-administered group (P<0.001,P<0.001).A greater proportion of participants in the self-administered group than in the interview-administered group met the criteria for mild to moderate anxiety and depression (P<0.001,P=0.002).The prevalence rates of moderate to severe anxiety (GAD-7≥10) and depression (PHQ-9≥10) showed no statistically significant difference between the two groups (P=0.761,P=0.086).Conclusion This study demonstrates that the participants in the self-administered group are more likely to report mild to moderate symptoms of anxiety and depression than those in the interviewer-administered group.

Individualized epidemic spreading models predict epilepsy surgery outcomes: A pseudo-prospective study.

Epilepsy surgery is the treatment of choice for drug-resistant epilepsy patients, but up to 50% of patients continue to have seizures one year after the resection. In order to aid presurgical planning and predict postsurgical outcome on a patient-by-patient basis, we developed a framework of individualized computational models that combines epidemic spreading with patient-specific connectivity and epileptogeneity maps: the Epidemic Spreading Seizure and Epilepsy Surgery framework (ESSES). ESSES parameters were fitted in a retrospective study (N = 15) to reproduce invasive electroencephalography (iEEG)-recorded seizures. ESSES reproduced the iEEG-recorded seizures, and significantly better so for patients with good (seizure-free, SF) than bad (nonseizure-free, NSF) outcome. We illustrate here the clinical applicability of ESSES with a pseudo-prospective study (N = 34) with a blind setting (to the resection strategy and surgical outcome) that emulated presurgical conditions. By setting the model parameters in the retrospective study, ESSES could be applied also to patients without iEEG data. ESSES could predict the chances of good outcome after any resection by finding patient-specific model-based optimal resection strategies, which we found to be smaller for SF than NSF patients, suggesting an intrinsic difference in the network organization or presurgical evaluation results of NSF patients. The actual surgical plan overlapped more with the model-based optimal resection, and had a larger effect in decreasing modeled seizure propagation, for SF patients than for NSF patients. Overall, ESSES could correctly predict 75% of NSF and 80.8% of SF cases pseudo-prospectively. Our results show that individualised computational models may inform surgical planning by suggesting alternative resections and providing information on the likelihood of a good outcome after a proposed resection. This is the first time that such a model is validated with a fully independent cohort and without the need for iEEG recordings.

Individualized computational models of epilepsy surgery capture some of the key aspects of seizure propagation and the resective surgery. It is to be established whether this information can be integrated during the presurgical evaluation of the patient to improve surgical planning and the chances of a good surgical outcome. Here we address this question with a pseudo-prospective study that applies a computational framework of seizure propagation and epilepsy surgery­the ESSES framework­in a pseudo-prospective study mimicking the presurgical conditions. We found that within this pseudo-prospective setting, ESSES could correctly predict 75% of NSF and 80.8% of SF cases. This finding suggests the potential of individualised computational models to inform surgical planning by suggesting alternative resections and providing information on the likelihood of a good outcome after a proposed resection.

A Comparison of the Results of Platelet-Rich Plasma Injection Versus the Results of Corticosteroid Injections in De-Quervain Tenosynovitis.

BACKGROUND:  De Quervain tenosynovitis (DQT) is a condition that affects the first extensor compartment of the wrist, resulting in stenosing tenosynovitis. This work aimed to evaluate the effects of platelet-rich plasma (PRP) injection in the treatment of DQT in comparison with corticosteroid (CS) injections. METHODS:  This study was carried out on 40 DQT patients aged above 18 years old of both sexes, based on a combination of clinical symptoms and signs including persistent tenderness on the radial styloid, swelling on the radial styloid, positive provocative tests such as the Finkelstein test, and patients with failed medical treatment. Patients were divided into two equal groups: group I and group II. Group I was injected with PRP, and group II was injected with CS. Follow-ups were conducted at two weeks and six months. RESULTS:  There were statistically significant differences among both groups regarding the visual analog scale (VAS), and Disabilities of Arm, Shoulder, and Hand (QuickDASH-9) score. However, complications were statistically insignificant between both groups. After injection, CS was better than PRP after two weeks, but PRP was superior to CS after six months concerning QuickDASH-9 and VAS. These differences were statistically significant. CONCLUSIONS:  CS is more effective than PRP in the short term (two weeks) and PRP is more effective in the intermediate term (six months). Both modalities are safe; however, PRP is relatively safer than CS.

Putting the usability of wearable technology in forensic psychiatry to the test: a randomized crossover trial.

Introduction: Forensic psychiatric patients receive treatment to address their violent and aggressive behavior with the aim of facilitating their safe reintegration into society. On average, these treatments are effective, but the magnitude of effect sizes tends to be small, even when considering more recent advancements in digital mental health innovations. Recent research indicates that wearable technology has positive effects on the physical and mental health of the general population, and may thus also be of use in forensic psychiatry, both for patients and staff members. Several applications and use cases of wearable technology hold promise, particularly for patients with mild intellectual disability or borderline intellectual functioning, as these devices are thought to be user-friendly and provide continuous daily feedback. Method: In the current randomized crossover trial, we addressed several limitations from previous research and compared the (continuous) usability and acceptance of four selected wearable devices. Each device was worn for one week by staff members and patients, amounting to a total of four weeks. Two of the devices were general purpose fitness trackers, while the other two devices used custom made applications designed for bio-cueing and for providing insights into physiological reactivity to daily stressors and events. Results: Our findings indicated significant differences in usability, acceptance and continuous use between devices. The highest usability scores were obtained for the two fitness trackers (Fitbit and Garmin) compared to the two devices employing custom made applications (Sense-IT and E4 dashboard). The results showed similar outcomes for patients and staff members. Discussion: None of the devices obtained usability scores that would justify recommendation for future use considering international standards; a finding that raises concerns about the adaptation and uptake of wearable technology in the context of forensic psychiatry. We suggest that improvements in gamification and motivational aspects of wearable technology might be helpful to tackle several challenges related to wearable technology.

Evaluation and application of a Chinese version symptom questionnaire for visual dysfunctions (CSQVD) in school-age children.

Objective: To develop and evaluate a Chinese version of the Symptom Questionnaire for Visual Dysfunctions (CSQVD) to quantify visual dysfunction symptoms in school-age children with various eye diseases, and to explore the relationship between ophthalmological disorders and visual dysfunction symptoms. Methods: Following standard scale adaptation procedures, the Symptom Questionnaire for Visual Dysfunctions (SQVD) was translated into Chinese (CSQVD). We employed random sampling to survey 198 outpatients aged 7-18 to assess the psychometric properties of the CSQVD. Using the reliable and validated questionnaire, we evaluated the determinants of visual dysfunction symptoms among 406 school-age patients at an eye center. The CSQVD scores were correlated with demographic and clinical variables, including gender, age, eye position, refractive power, and best-corrected visual acuity. Univariate analysis identified potential risk factors, followed by binary logistic regression and multiple linear regression analysis on factors with a P-value <0.05. Results: The CSQVD scale's critical ratio (CR) values ranged from 6.028 to 10.604. The Cronbach's Alpha coefficient was 0.779, and Spearman-Brown split-half reliability was also 0.779. The I-CVI varied from 0.83 to 1.000, the S-CVI/Ave was 0.857, and the KMO value was 0.821. Multifactorial regression analysis indicated that high myopia (OR â€‹= â€‹5.744, 95% CI [1.632, 20.218], P â€‹= â€‹0.006) and amblyopia (OR â€‹= â€‹9.302, 95% CI [1.878, 46.058], P â€‹= â€‹0.006) were significant predictors of CSQVD symptoms. Multiple linear regression analysis showed that BCVA of amblyopic eyes (B â€‹= â€‹-5.052, 95% CI [-7.779, 2.325], P â€‹= â€‹0.000) and SE power (B â€‹= â€‹-0.234, 95% CI [-0.375, 0.205], P â€‹= â€‹0.001) significantly affected the CSQVD scale scores. Conclusions: The Chinese version of the SQVD scale (CSQVD) demonstrates good feasibility, discriminatory power, validity, and reliability in assessing Chinese school-aged children. Furthermore, those who have severe myopia and amblyopia reported more visual dysfunction symptoms.