BackgroundSafety climate assessment is increasingly recognized as an important factor in healthcare quality improvement, especially in operating rooms (OR). One of the most commonly used and rigorously validated tools to measure safety culture is the Safety Attitudes Questionnaire (SAQ). This study presents the validation of the Operating Room Version of the SAQ (SAQ-OR) for use in Portuguese Hospitals. The psychometric properties of the translated questionnaire are also presented.MethodsThe original English version of the SAQ-OR was translated and adapted to the Portuguese setting by forward–backward translation method and applied in a central public hospital. Scale psychometrics were analyzed using Cronbach's alpha and inter-correlations among the scales.ResultsThe internal consistency test yielded values around 0.9 for all 73 items. The CFA and its goodness-of-fit indices (SRMR 0.05, RMSEA 0.002, CFI 0.90) showed an acceptable model fit. Inter-correlations between the factors safety climate, teamwork climate, job satisfaction, perceptions of management, and working conditions showed moderate correlation with each other. 82 valid questionnaires were analyzed revealing significant differences in communication ratings between different jobs, mainly between surgeons (4.2) and between nurses and surgeons (2.9). Working conditions and job satisfaction have the highest score with 3.8 and 3.5, respectively, and perceptions of management have the lowest score (2.8).ConclusionThe Portuguese translation of the SAQ-OR reveals good psychometric properties for studying the organizational safety climate, however larger and further studies are required to compensate the lack of subjects in some items. Like other studies, this scale seems to be an acceptable to adequate tool to evaluate the safety climate. Results allowed to conclude that working conditions and job satisfaction are satisfactory. However, there is latitude for improvement, especially in the involvement of the management bodies as this factor has the lowest score for the majority of healthcare professionals

Background/Objectives: Bone maturation and development are crucial for growth and development, especially in children and adolescents; however, some qualitative methods, such as Greulich & Pyle, do not provide accurate data. Our aim is to verify whether skeletal age (SA) can predict and correlate with bone mineral content (BMC), bone mineral density (BMD), and body composition (BC). Methods: A cross-sectional study was conducted on 115 male adolescents (ages 12.1–15.8 years). Skeletal age was assessed using the Tanner–Whitehouse 3 (TW3) method, while BMC, BMD, and BC were measured using full-body DXA. Anthropometric data, including height and body mass, were also recorded. Statistical analysis included descriptive methods and bivariate correlation coefficients. Results: SA was significantly correlated with stature (r = 0.598, p = 0.001) and body mass (r = 0.517, p = 0.001), showing a stronger association than chronological age (CA) for these variables. Body composition variables, including lean mass (LM) (r = 0.521, p = 0.001) and fat tissue (FT) (r = 0.522, p = 0.001), also showed a stronger correlation with SA than CA. However, associations between SA and bone parameters were weaker: BMC (r = 0.103, p = 0.275) and BMD (r = 0.161, p = 0.086) did not reach statistical significance. When stratified by SA/CA tertiles, individuals in the highest tertile exhibited slightly greater BMC (1439 ± 108.32 g) and BMD (1.028 ± 0.127 g/cm²), though without a significant effect. These findings suggest a dynamic but complex relationship between skeletal age and bone development. Conclusions: SA demonstrates a stronger association with anthropometric and body composition variables than CA, highlighting its potential as a predictor of growth used in conjunction with LM and FM. However, its relationship with BMD and BMC remains inconclusive, warranting further longitudinal research, considering limitations regarding nutritional intake.

Keywords: Radiation, ionizing; Operating rooms; Scattering, radiation; Radiation protection; Radiology, interventional

The purpose of this study was to evaluate indicators of bone health associated with sports practice in male adolescents using dual-energy X-ray absorptiometry (DXA) to measure bone mineral content (BMC), density (BMD), and body composition (BC) for the whole body (WB) and specific regions. This cross-sectional study involved 65 individuals (18–35 years). Athletes had higher BMD for WB (1.064 ± 0.121 g/m⁻²) than sedentary individuals (0.753 ± 0.129 g/cm⁻²). Differences were also observed within specific regions such as the trunk, upper and lower limbs. Individuals who practice regular sports present improved bone health indicators compared to their sedentary peers.

Assessment instruments for functioning in general and quality of life in particular often involve discrete scales with three, four, or five values, or Visual Analogue Scales (VAS) with a range 0–100. VAS scales often need to be downsized and discretized using intervals or clusters. Cutoff points for these intervals/clusters need to be carefully selected and justified. Our objective was to underline the importance of providing clear interpretations of many-valuedness appearing in quality-of-life (QoL) instruments, and to present a methodology for the provision of such clearness. Doing so, we view QoL scales as originating within the World Health Organization (WHO).

Background: Head motion and variability in scan quality remain major methodological challenges in autism neuroimaging. Large multi-site datasets such as ABIDE-II provide a unique opportunity to systematically quantify diagnostic differences in MRI data quality and assess the influence of site-level heterogeneity. Methods: Functional MRI Quality Assessment Protocol (QAP) metrics were combined with phenotypic data from ABIDE-II. Participants were classified as autistic (ASD) or typically developing (TD). Key quality metrics—including mean framewise displacement (mFD), proportion of volumes exceeding 0.20 mm (FD > 0.20), signal-to-noise ratio (SNR), and entropy focus criterion (EFC)—were analyzed alongside age, sex, IQ, and site. Group differences were evaluated using non-parametric tests and linear mixed-effects models with site as a random factor. Additional analyses examined site-level heterogeneity and the impact of quality-control (QC) thresholds on sample composition. Results: The final sample included 1277 participants (579 ASD; 698 TD) across 14 sites. ASD participants exhibited significantly greater head motion (median mFD = 0.101 vs. 0.081 mm; p < 1 × 10⁻¹⁰) and modest reductions in signal quality (lower SNR, higher EFC). Elevated motion in ASD was observed in 12 of 14 sites, although effect sizes varied substantially. Mixed-effects models confirmed that diagnosis remained a significant predictor of motion after adjusting for covariates. In contrast, signal-quality differences were small and largely explained by site effects. Simulated QC procedures disproportionately excluded ASD participants, with exclusion rates up to 31% compared to 18% in TD. Conclusions: ASD participants show consistently higher head motion, while signal-quality differences are minimal and largely site-driven. Standard QC procedures disproportionately exclude ASD individuals, highlighting the need for improved motion handling and more balanced quality-control strategies in multi-site studies.