Search Results (26,631)

We applied social cognitive career theory and systems theory to explore the barriers that historically excluded groups face when pursuing animal care careers at U.S. zoos and aquariums. Using a mixed-methods approach, this research combines survey data (N = 592) and interviews (N = 15) from zoo and aquarium animal care staff, including zookeepers, veterinarians, and aquarists. The findings show that historically excluded groups of animal caretakers report higher levels of perceived barriers to securing zoo positions compared to White animal caretakers, particularly in career awareness, self-efficacy, mentorship, and access to internship opportunities. Statistical analyses of animal caretakers revealed a statistically significant difference between historically excluded groups and their White colleagues. Historically excluded groups experience more challenges in securing and succeeding in animal care careers. While institutional barriers did not differ significantly between groups, this study underscores the need for zoos to address systemic inequities and create more inclusive environments. These findings are critical for zoos aiming to diversify their staff and enrich their decision-making processes. Full article

Body awareness allows the individual to negotiate spatial tasks by referencing their own body. Here, we tested whether biologically meaningful factors, such as an alternative solution (detour around an obstacle) and learning from a human demonstrator, would affect dogs’ reliance on their body size in an aperture test. We hypothesized that the dogs would choose the socially reinforced solution over a shortcut, and they would choose the shortcut when the opening was comfortably large. We tested N = 45 adult, mixed-breed dogs, by using a 3 m long, transparent fence. The dogs had three trials with closed doors and then three trials with either a small (but passable) or a large open door. In the demonstration group the experimenter performed a detour before the first three trials, then we opened the large door. The dogs preferred the shortcut, where they relied on body awareness, as they either hesitated or opted for a detour when the small door was open. The dogs who watched the demonstration for longer in trial 3 chose the door less often in trial 4, which indicates social learning. By testing mixed-breed dogs, our results are minimally influenced by functional breed selection and serve as valuable baseline for testing complex socio-cognitive traits in companion dogs. Full article

Despite the consequences of ethnic moral disengagement, such as ethnic bullying, racism, and prejudice, a comprehensive understanding of how to effectively counter it remains an ongoing area of research. The present study proposes an association between ethnic moral disengagement and three individual dimensions: the executive function of inhibitory control, a reflective cognitive style, and personal values that reflect growth-oriented motivations in contrast to self-defensive ones. By evaluating these dimensions respectively through a behavioral task, a cognitive measure, and a self-report instrument, the aim is to understand the role of basic behavioral capability, cognitive reflection, and growth-oriented values in reducing ethnic moral disengagement. The study, conducted on 413 participants (243 female, M = 19.60 years, SD = 1.46) using a structural equation modeling approach, found that while inhibitory control was not significantly linked to ethnic moral disengagement, reflective information processing and broader value horizons may constitute a key resource for opposing it. Overall, these results suggest that individuals who adopt such a reflective and growth-oriented mindset may elaborate differences and unfamiliar encounters as opportunities rather than as threats to be defended against by justifying themselves and externally displacing responsibility for their decisions and actions. Full article

The purpose of this study is to identify motivational profiles in sustainable career trajectories via emerging latent class methods using a multilevel schema between engagement in sustainable career practices, developing and utilizing job competency—a key marker for human capital development—and leader–member interaction. Using latent class analysis (LCA), we further identify different types of motivational profiles that reflect the principle and adaptable nature with which individuals can relate their sustainability values to career decisions. Results indicate large practical differences within latent classes, evidencing higher career adaptability and sustainability principles congruence in some groups. These differences highlight that intrinsic motivation, adaptability, and elements connected to the sector drive sustainable career engagement that should ensure enduring satisfaction with commitment to a chosen profession. In explaining why sustainability drives career advancement, this study takes a theoretical standpoint from three overarching theories: Career Construction Theory, Social Cognitive Career Theory (SCCT), and Sustainable Career Theory. The practical recommendations are that companies must offer programs at the sector level to increase career adaptability (readiness) and help employees build sustainable careers. This study calls attention to the importance of producing participative content that is demanded by organizations seeking greater resilience, well-being in work contexts, and their long-lasting survival as institutions. Full article

This study examines the quality and availability of daylight in childcare facilities, focusing on compliance with Polish Technical Conditions (TCs) and comparing them with international certification systems such as BREEAM, LEED, and WELL. Polish regulations regarding sunlight exposure require revisions to support the sustainable development of buildings, impacting children’s well-being, their health, and the building’s energy efficiency. Daylight’s significance for children’s health and development underpins the investigation, highlighting its impact on the circadian rhythm, cognitive abilities, and well-being. The research utilized computational simulations with Rhinoceros 7 and Ladybug and Honeybee plugins to model a preschool room’s daylight performance under various window configurations and orientations. Quantitative and qualitative analyses were conducted, focusing on parameters such as Daylight Factor (DF), Daylight Autonomy (DA), and Useful Daylight Illuminance (UDI). The findings revealed that while the TCs’ requirements ensure minimum daylight access, they result in nonoptimal lighting quality as defined by international standards. Almost half of the surveyed rooms in the case with a WFR of one-eighth did not meet the condition for having acceptable daylight levels, as defined in the study. In the same study, only about one-third of the analyzed variants achieved the threshold for good daylight quality. At a WFR of one-eighth, no room variant reached the level considered to indicate excellent daylight quality. The results show the need for revised regulations incorporating comprehensive metrics like Climate-Based Daylight Modeling (CBDM). This study suggests that integrating advanced methods of assessing daylight quality could significantly improve daylight conditions in childcare environments. This research is a starting point for discussing the need to modernize the Polish Technical Conditions (TC) to support the sustainable development of childcare facilities in Poland. Full article

Introduction and Objective: Obesity has increased worldwide, and existing anti-obesity medications have treatment limitations that diminish their overall benefits. This study aimed to investigate the effects of orlistat in combination with Elettaria cardamomum “Cardamom” (CAR) extract on working memory, recognition memory, anxiety, and inflammation within hippocampal tissue. Methods: Mice were categorized into two groups: a control group (CD) and a cafeteria diet (CAF) group induced with obesity (CAF) for 10 weeks. The groups were then subdivided into a CAF group treated with orlistat (CAF-ORL), a CAF group treated with orlistat and Elettaria cardamomum (CAF-ORL-CARD), and a group that continued on the CAF. The CAF-ORL group received orlistat at a dosage of 10 mg/kg/day for four weeks, while the CAF-ORL-CARD group received 10 mg/kg/day of orlistat and 500 mg/kg of CAR extract via oral gavage. In the 14th week, various assessments were conducted, including the novel object recognition (NOR) test, Y maze test, marble-burying test (MBT), open-field test, and TNF-α levels in the hippocampus. Result: TNF-α levels in the hippocampal tissue of the CAF group were elevated compared to the CD group (p < 0.01), whereas the CAF-ORL group exhibited reduced TNF-α levels compared to the CAF group (p < 0.01). Moreover, TNF-α levels in the CAF-ORL-CARD group were significantly lower than in the CAF-ORL group (p < 0.01). The recognition index was notably higher in the CAF-ORL group compared to the CAF group (p < 0.01) and higher in the CAF-ORL-CARD group compared to the CAF-ORL group (p < 0.01). However, there were no changes in the open-field test and Y maze test (p > 0.05). Conclusions: Orlistat combined with CAR has positive effects on neuroinflammation and memory, suggesting that this combination may offer potential therapeutic benefits for cognitive impairments and hippocampal dysfunction associated with obesity. Full article

Falls are a major cause of injury among older adults. The Physio-fEedback Exercise pRogram (PEER) combines physio-feedback, cognitive reframing, and guided exercises to reduce fall risk. However, its impact on physical activity (PA) over time is underexplored. Functional time-series analysis offers insight into behavior patterns and sustainability. This preliminary study assessed PEER’s effectiveness in improving PA levels immediately and over time. A total of 64 community-dwelling older adults were cluster-randomized into PEER (N=33) or control groups (N=31). Participants wore Fitbit trackers, generating time-series data on activity. The PEER group completed an 8-week program, while the control group received CDC fall prevention pamphlets. PA data were analyzed using smoothing spline analysis of variance (SSANOVA), chosen for its flexibility in modeling complex, non-linear relationships in time-series data and its ability to handle skewed distributions and repeated measures. Unlike traditional parametric models, SSANOVA decomposes temporal trends into interpretable components, capturing both smooth trends and abrupt changes, such as those occurring on group workout days. This capability ensures robust and nuanced analysis of intervention effects. Results showed PEER participants significantly increased evenly and had very active minutes and reduced sedentary behavior during the intervention. No significant effect was found for light active minutes. Specifically, during the intervention period, PEER participants engaged in an average of 6.7% fewer sedentary minutes per day, 13.8% additional fairly active minutes per day, and 2.8% additional very active minutes per day compared to the control group. While the reduction in sedentary minutes and increase in fairly active minutes were not statistically significant, the increase in very active minutes was significant. However, our functional time-series analysis revealed these improvements diminished over the 15-week follow-up, indicating challenges in maintaining PA. In conclusion, PEER boosts PA and reduces sedentary behavior short-term, but strategies are needed to sustain these benefits. In conclusion, PEER boosts PA and reduces sedentary behavior short-term, but strategies are needed to sustain these benefits. Public health policies should emphasize technology-driven fall risk assessments, community-based prevention programs, and initiatives that promote physical activity, home safety, and chronic condition management. Full article

Despite the introduction of preventive safety measures, such as near-miss reporting, to mitigate accidents and minimize fatalities, construction workers are constantly exposed to stressful situations that negatively affect their safety behavior and reporting efficiency. Occupational stress is induced by various factors, with mental stress and auditory stress being common workplace stressors that impact workers on the job site. While previous studies have demonstrated the effect of stressor conditions on workers’ hazard recognition and safety performance, research gaps persist regarding the direct impact of workplace stressors on workers’ stress levels and near-miss recognition performance. This study investigates workers’ near-miss recognition ability through an eye-tracking experiment conducted in a controlled environment under mental and auditory stress conditions. The findings from this study reveal that workplace stressors triggered by mental and auditory stress can adversely affect worker stress levels, safety behavior, and cognitive processing toward near-miss recognition. Visual attention towards near-miss scenarios was reduced by 26% for mental stress conditions and by 46% for auditory stress conditions compared to baseline. The results may potentially open avenues for developing wearable stress prediction and safety intervention models using bio-sensing technology and personalized safety training programs tailored to individuals with low identification abilities. Full article

Background: The time lapse between the acute event and the beginning of rehabilitation seems to play a significant role in determining the effectiveness of rehabilitation together with the severity of neurological deficits and impairments of motor and cognitive functions. The present study aims to further explore the prognostic role of cognitive and motor functions, concerning the different times of the beginning of neurorehabilitation. Methods: A secondary examination was conducted by applying a cluster analysis on the data of 386 stroke patients in the subacute phase who were enrolled in the Cognitive and Recovery of Motor Functions (CogniReMo) study. Results: The Barthel Index at the admission predicts clinical outcome: if BI was 0, it was on average 28.7 ± 24.1 at discharge. For patients with Barthel Index <15 at discharge, the discriminant was unaltered executive functions having an average output of 61.3 instead of 45.5. In the range of BI at admission between 16 and 45, the discriminant variable was to have an NIHSS ≤ 5 to obtain a high outcome (BI = 75.4 instead of BI = 61.9). Subjects with a BI at admission >45 were the best responders to rehabilitation, with a mean BI at discharge of 85 if they have alteration in spatial attention, and 95.3 if they have no deficits in spatial attention. Also, for inpatients hospitalized in a period ranging from the 20th to the 37th day after stroke, spatial attention was a discriminant variable to have a poor outcome (BI = 34.3) vs. a good one (BI = 76.7). Conclusions: The algorithm identified a hierarchical decision tree that might assume a significant role for clinicians in defining an appropriate rehabilitation pathway, depending on the time of rehabilitation beginning and the severity of motor and cognitive deficits. Full article

Background/Objectives: To identify joint trajectories of physical frailty and cognitive impairment among community-dwelling older adults and to determine modifiable factors for each trajectory. Methods: Data were utilized from the Korean Longitudinal Study of Aging, which was conducted between 2006 and 2018. Physical frailty was assessed using the Fried phenotype, and cognitive impairment was evaluated using the Korean version of the Mini-Mental State Examination. Group-based trajectory modeling and logistic regression were employed for the analyses. Results: Based on longitudinal data, 415 participants averaging 72.2 years of age were analyzed. Three trajectories of physical frailty were identified: mild physical frailty, moderate physical frailty, and improving frailty. Two trajectories of cognitive impairment were identified: stable cognitive impairment and improving cognitive impairment. Factors influencing physical frailty trajectories included the number of medications taken, being overweight or obese, and depression. Education level was found to be associated with cognitive impairment trajectories. Conclusions: This study provides evidence for the distinct identification of joint trajectories of physical frailty and cognitive impairment, which can inform the target groups for intervention. It offers a basis for including modifiable physical and mental factors in intervention components for physical frailty trajectories. Full article

Background: Sleep quality is crucial for patient recovery and well-being, yet hospitalized patients often suffer from poor sleep due to environmental disruptions, clinical routines, and psychosocial stressors. While these challenges are well-documented, qualitative insights into nurses’ perspectives—essential frontline providers shaping the sleep environment—are scarce, especially within rapidly evolving healthcare systems like Saudi Arabia’s. This study explores nurses’ perceptions of factors influencing patient sleep quality in a private hospital in Al Ahsa, Saudi Arabia, and identifies strategies for improvement. Methods: We conducted a qualitative, cross-sectional study using semi-structured interviews with 14 registered nurses from diverse nationalities, specialties (Obstetrics/Gynecology, Medical-Surgical, Pediatrics, Intensive Care, Orthopedics, Bariatrics), and experience levels. Interviews were conducted in Arabic or English, audio-recorded, transcribed, and thematically analyzed using ATLAS.ti software. Roy’s Adaptation Model guided the examination of environmental, patient-specific, and systemic factors affecting sleep. Findings: Four primary themes emerged: (1). Environmental Factors: noise from alarms, equipment, family presence, and late-night activities, along with abrupt lighting changes, consistently disrupted sleep. (2). Patient-Specific Factors: pain, emotional distress, cultural expectations, and family involvement influenced sleep experiences. (3). Systemic and Contextual Factors: language barriers, infrastructural disparities between private and governmental hospitals, and limited resources can impeded effective sleep-promoting strategies. (4). Role of Health Technology: nurses recognized the potential of innovations like smart lighting and wearable monitors to enhance sleep quality but faced challenges in implementation due to knowledge gaps and limited familiarity. Roy’s Adaptation Model highlighted how effective adaptation through physiological and cognitive–emotional pathways, as observed by nurses, was facilitated or hindered by these factors. Conclusions: Enhancing in-hospital sleep quality requires a holistic, culturally sensitive approach that integrates environmental modifications, patient-centered care, and systemic improvements. Strategic investments in staff communication training, infrastructural upgrades, language support services, and the adoption of health technologies can promote adaptive responses and optimize patient rest. By leveraging theory-driven insights and context-specific strategies, healthcare systems—particularly those undergoing rapid development—can better support nurses in fostering restorative sleep environments as a fundamental component of patient-centered care, thereby enhancing patient recovery, satisfaction, and overall well-being. Full article

Abstract: Background/Objectives: This study explored factors influencing self-rated health (SRH) among community-dwelling older adults to better support its use in health screening and provide an alternative for older adults who may have difficulty working with lengthy assessment scales. Methods: The participants were 8379 individuals aged 65 years or older from the 2020 Elderly Survey. Data were collected in South Korea between September and November 2020. Descriptive statistics were calculated, and independent samples t-tests, a Kruskal–Wallis test, and weighted multiple regression analysis were conducted using IBM SPSS for Windows ver. 23.0. SRH factors, such as illness, daily living performance, nutritional status, depression, and cognitive impairment, were analyzed. Results: The greater the number of chronic conditions (β = −0.21, p < 0.001), the higher the dependence on activities of daily living and instrumental activities of daily living (β = −0.05, p = 0.002; β = −0.13, p < 0.001), the higher the depression score (β = −0.22, p < 0.001), the more severe the cognitive impairment (β = −0.04, p < 0.001), and the worse the SRH. Conclusions: Participants with high-risk medical conditions, such as cancer, stroke, and depression, thought their health was poor. However, they did not consider hypertension, malnutrition, and abnormal BMI as significantly affecting their health status. Therefore, these factors should be considered when measuring SRH in older adults. Full article

Background/Objectives: The main objective of this systematic review was to explore the role of magnetoencephalography (MEG) in the diagnosis, assessment, and monitoring of mild traumatic brain injury (mTBI) and post-concussion syndrome (PCS). We aimed to evaluate the potential of some MEG biomarkers in detecting subtle brain abnormalities often missed by conventional imaging techniques. Methods: A systematic review was conducted using 25 studies that administered MEG to examine mTBI and PCS patients. The quality of the studies was assessed based on selection, comparability, and outcomes. Studies were analyzed for their methodology, evaluated parameters, and the clinical implications of using MEG for mTBI diagnosis. Results: MEG detected abnormal brain oscillations, including increased delta, theta, and gamma waves and disruptions in functional connectivity, particularly in the default mode and frontoparietal networks of patients suffering from mTBI. MEG consistently revealed abnormalities in mTBI patients even when structural imaging was normal. The use of MEG in monitoring recovery showed significant reductions in abnormal slow-wave activity corresponding to clinical improvements. Machine learning algorithms applied to MEG data demonstrated high sensitivity and specificity in distinguishing mTBI patients from healthy controls and predicting clinical outcomes. Conclusions: MEG provides a valuable diagnostic and prognostic tool for mTBI and PCS by identifying subtle neurophysiological abnormalities. The high temporal resolution and the ability to assess functional brain networks make MEG a promising complement to conventional imaging. Future research should focus on integrating MEG with other neuroimaging modalities and standardizing MEG protocols for clinical use. Full article

Background/Objectives: Recent research suggests that video games may serve as cognitive training tools to enhance visual working memory (VWM) capacity. However, the effectiveness of game-based cognitive training remains debated, and the underlying neural mechanisms, as well as the relationship between training efficacy and game design factors, are unclear. This study aimed to evaluate the impact of video game training on VWM capacity and explore its neural correlates. Methods: Two groups underwent 56 daily 20 min training sessions with two distinct video games targeting different cognitive skills: a reaction-time training game and a VWM-specific training game. Behavioral assessments included accuracy, hit response times, correct rejection response times, and Cowan’s K values. Neural correlates were measured through Negative Slow Wave (NSW) activity using EEG. Decision tree classification analyses were applied to NSW data across sessions and set sizes to identify patterns linked to VWM capacity. Results: Preliminary results are that both groups showed improvements in behavioral measures (accuracy, response times, and Cowan’s K values). NSW analyses revealed a main effect of set size in both groups, and classification results indicated that NSW patterns differed between groups, across sessions, and set sizes, supporting the relationship between NSW and VWM capacity. Conclusions: These findings contribute to understanding NSW as a neurophysiological correlate of VWM capacity, demonstrating its plasticity through video game training. Simple video games could effectively enhance behavioral and neural aspects of VWM, encouraging their potential as accessible cognitive training tools. Full article

Background: Alzheimer’s disease (AD) is a neurodegenerative condition that has no definitive treatment, and its early diagnosis can help to prevent or slow down its progress. Structural magnetic resonance imaging (sMRI) and the progress of artificial intelligence (AI) have significant attention in AD detection. This study aims to differentiate AD from NC and distinguish between LMCI and EMCI from the other two classes. Another goal is the diagnostic performance (accuracy and AUC) of sMRI for predicting AD in its early stages. Methods: In this study, 398 participants were used from the ADNI and OASIS global database of sMRI including 98 individuals with AD, 102 with early mild cognitive impairment (EMCI), 98 with late mild cognitive impairment (LMCI), and 100 normal controls (NC). Results: The proposed model achieved high area under the curve (AUC) values and an accuracy of 99.7%, which is very remarkable for all four classes: NC vs. AD: AUC = [0.985], EMCI vs. NC: AUC = [0.961], LMCI vs. NC: AUC = [0.951], LMCI vs. AD: AUC = [0.989], and EMCI vs. LMCI: AUC = [1.000]. Conclusions: The results reveal that this model incorporates DenseNet169, transfer learning, and class decomposition to classify AD stages, particularly in differentiating EMCI from LMCI. The proposed model performs well with high accuracy and area under the curve for AD diagnostics at early stages. In addition, the accurate diagnosis of EMCI and LMCI can lead to early prediction of AD or prevention and slowing down of AD before its progress. Full article