A statistically significant relationship (p < 0.005) exists between problem-focused coping strategies and variables such as gender, marital status, educational background, working hours per day, and location of residence. Work-related hurdles and challenges notwithstanding, the findings of this study underscore a limited engagement with coping strategies among participants during the public health crisis. These outcomes highlight the importance of facilitating healthcare workers' development of coping skills to maintain mental well-being in their work environment.

Nighttime light exposure has the potential to increase cancer risk by disrupting the internal circadian clock. check details Nevertheless, a standardized method for assessing ambient light illumination is absent. The Cancer Prevention Study-3's survey, addressing seven environments, collected responses from 732 men and women. During the past year, a periodic review of the light environment was carried out twice, with a one-year interval separating each examination; correspondingly, four one-week observation logs were compiled between the yearly reviews. A total of 170 individuals were outfitted with a meter used to measure both photopic illuminance and circadian stimulus (CS). From measured data, illuminance and CS values were calculated for lighting environments and then assessed with cross-validation techniques. Analyzing self-reported light environments from the two annual surveys, the kappas on workdays were 0.61 and 0.49 on non-workdays. Kappas determined, by comparing the annual survey to weekly diaries, a value of 0.71 for workdays and 0.57 for non-workdays. Reporting darkness, non-residential light, and household light on workdays garnered the highest agreement, reaching 953%, 865%, and 756% respectively. Light intensity peaks, distinguished by illuminance and CS, encompassed three categories: darkness, interior lighting, and exterior daylight. Overall, estimated illuminance and CS showed a correlation with measured values (r = 0.77 and r = 0.67, respectively), though within individual light environments, the correlation was weaker (r = 0.23-0.43). The validity of the survey is strong for evaluating ambient light in human health studies.

Prevention and health promotion were integrated into the NIOSH Total Worker Health (TWH) strategy, launched in 2011, specifically addressing the workplace. Italy's workplaces have, for a prolonged period, experienced the incorporation of health promotion into medical surveillance, now termed WHPEMS. New, annual themes emerge from worker needs to guide WHPEMS projects' focus, encompassing even those conducted in small businesses. During their routine medical screenings within the workplace, employees are presented with a questionnaire focusing on the subject of the project, its results, and related themes. Workers are provided with advice on enhancing their lifestyles, and the National Health Service handles referrals for required tests and treatments. Over the past twelve years, research involving more than 20,000 participants has shown that WHPEMS projects are demonstrably economical, sustainable, and effective. The involvement of occupational physicians in WHPEMS projects, forming a network, could contribute to a more positive work culture, enhanced worker health, and improved workplace safety.

Occupational hazards, including dust, present a heightened risk of chronic obstructive pulmonary disease development for individuals employed in the coal industry. This research constructs a risk scoring system, derived from an optimal model, to offer viable prevention strategies for chronic obstructive pulmonary disease (COPD) amongst coal workers. check details A study on 3955 coal workers from Gequan and Dongpang mines, who underwent occupational health check-ups during July-August 2018, involved the establishment of random forest, logistic regression, and convolutional neural network models. The subsequent performance assessment led to the selection of the optimal model for constructing a visual risk scoring system. The training dataset indicated that the logistic regression, random forest, and CNN models possessed respective sensitivities of 78.55%, 86.89%, and 77.18%; specificities of 85.23%, 92.32%, and 87.61%; accuracies of 81.21%, 85.40%, and 83.02%; Brier scores of 0.14, 0.10, and 0.14; and AUC values of 0.76, 0.88, and 0.78. Subsequent evaluation on the test and validation sets yielded analogous results, with the random forest model demonstrating superior performance. A risk-scoring system developed according to the ranked importance of random forest predictor variables demonstrated an AUC of 0.842. Evaluation results show an accuracy rate of 83.7% and an AUC of 0.827, highlighting the system's strong ability to differentiate risks. The random forest model's results are better than those achieved by the CNN and logistic regression models. A random forest model was employed to create a chronic obstructive pulmonary disease risk scoring system, which possesses good discriminatory power.

While a substantial amount of research emphasizes the benefits of family environments with two married biological parents on the mental health of children, the exact process through which family structures affect mental health outcomes for children in diverse family settings remains a subject of ongoing inquiry. Essentialist theory anticipates that access to both male and female parental figures will influence a child's mental health; however, research comparing single-mother and single-father families observed no difference in child outcomes based on parental gender, thereby indicating the importance of structural gender theories instead. However, most research in this area is confined to Western data, and infrequently delves into the exploration of mental health outcomes. This paper utilizes the 2021 Korea Youth Risk Behavior Survey, a large-scale study of Korean adolescents, to evaluate and contrast the mental health conditions of children raised in families of two married biological parents, single mothers, or single fathers. Scrutinizing family settings across diverse circumstances is highlighted by our research.

In recent years, due to the global appreciation for the concept of sustainable development, the international market places significant emphasis on the environmental, social, and governance (ESG) investment performance of businesses. Carbon peaking and neutrality goals establish a requirement for ESG investment within Chinese enterprises. As leading state-owned enterprises within China's power grid sector, these companies must prioritize ESG investment. This paper, underpinned by System Dynamics (SD) theory, presents a simulation model for ESG-responsible investment within power grid companies, featuring separate environmental, social, and governance investment components. The numerical simulation of ESG investment strategies is examined for a provincial power grid company. The efficiency of ESG investments in power grid companies is exhibited through the mapping between key indicators and investment amounts, and a forecast of future investment scale and weight for these power companies is provided. Unlike the static analysis methods prevalent in the past, this model offers a theoretical rationale for power grid companies to formulate ESG investment strategies.

Although the benefits of urban green spaces are frequently demonstrated, the focus of discussions regarding space connectivity has largely been directed towards ecological elements, such as the connection of patches, corridors, and matrices. The connections between urban parks and human engagement have not been thoroughly investigated through consistent and systematic research efforts. This study adopted a systematic literature review methodology to investigate the user-perceived connectedness of urban parks. Following the PRISMA methodology, we analyzed 54 studies published between 2017 and 2022, found in Scopus and Web of Science, to define the concepts of physical connectedness and perceived connectedness. Road and park features were integrated within the physical connectedness, augmented by six distinct classifications: physical accessibility, street connectivity, the street environment, spatial scale, facilities and amenities, and natural elements. The core concept of connectedness was largely determined by individuals' appreciation of their physical environment. The four groups of categories were composed of perceived accessibility, perceived safety, aesthetics, and Kaplan's perceptual model. To conclude the evaluation of individual attributes, the research also took into consideration the effect of sociodemographic factors (age, gender, income, education, and occupation) and the impetus for park activities on park connectedness. check details This investigation, through its findings, advocates that park connectedness be assessed not just by physical linkages, but also by the perceived connection.

Employing the framework of urban resilience, this research seeks to determine the orientation of urban regeneration projects in neighborhoods undergoing deterioration, considering the impacts of climate change and natural hazards. Prior studies provided the basis for classifying urban resilience into Green Resilient Infrastructure (GRI) and Interactive Safety System (ISS), which were then categorized under the headings of vulnerability, adaptability, and transformability. By means of Euclidean distance, twelve meticulously detailed indicators were derived and indexed. Indicators were used to select three Korean urban regeneration targets in Daegu, Mokpo, and Seosan, for evaluating resilience before and after the regeneration plan. The regeneration plan led to an improvement in the resilience index at all three designated locations, surpassing the pre-plan values. Compared to areas not part of urban regeneration, the regeneration plan exhibited lower index values previously. Future urban regeneration projects must incorporate urban resilience, as these results indicate, and resilience indicators should guide the direction of such initiatives. These indices are instrumental in helping local governments define a benchmark for urban resilience within their region, leading to enhanced regional resilience.