The outbreak of COVID-19 quickly spread to 184 countries and regions around the world. It has drawn great attention from the WHO and was declared an international public health emergency on January 31, 2020. Because the population is generally susceptible to the virus, there are no effective drugs and vaccines, and active participation of the entire population in self-protection and self-isolation has become the key to cutting off transmission routes and effectively controlling the epidemic. A self-designed questionnaire to assess residents’ knowledge, attitudes, and behaviors related to COVID-19 prevention and control used the Questionnaire Star service platform, and snowball sampling was used to invite rural residents to complete the questionnaire on WeChat. A total of 554 valid questionnaires were collected. Rural residents’ average scores on knowledge, attitudes, and behaviors regarding prevention and control were 40 ± 7 (total of 50 points), 45 ± 3 (total of 52 points), and 92 ± 12 (total of 127 points), respectively. A lack of protective materials and weak awareness of prevention and control are the greatest difficulties and challenges experienced by rural residents during the epidemic. Accordingly, social support services, such as public transportation plans, supply chains for living materials, and orderly returns to work, need to be strengthened. Moreover, new infectious disease control is not only a task for individuals but also a global issue. It is of great significance to guarantee information transparency and enhance health risk communication.

Background: Cancer-related fatigue (CRF) is a common and burdensome symptom in cancer patients that is influenced by multiple factors. Identifying factors associated with CRF may help in developing tailored interventions for fatigue management. This study aimed to examine the correlates of CRF among colorectal cancer patients undergoing postoperative adjuvant therapy based on the theory of unpleasant symptoms. Methods: A cross-sectional study was implemented, and finally, a sample of 363 participants from one tertiary general hospital and one tertiary cancer hospital was purposively recruited. Data were collected using the general information questionnaire, cancer fatigue scale, the distress disclosure index, Herth hope index, and perceived social support scale. Univariate analysis and multiple linear regression analysis were performed to determine the correlates of CRF. Results: The mean score of CRF among colorectal cancer patients was 21.61 (SD = 6.16, 95% CI 20.98–22.25), and the fatigue degree rating was “moderate”. The multiple linear regression model revealed that 49.1% of the variance in CRF was explained by hope, sleep disorder, internal family support, self-disclosure, pain, and time since operation. Conclusions: Our study identified several significant, modifiable factors (self-disclosure, hope, internal family support, pain, and sleep disorder) associated with CRF. Understanding these correlates and developing targeted psychosocial interventions may be associated with the improvement of CRF in patients with colorectal cancer.

Objective: This study aimed to comprehensively review the latest advancements in diabetic foot risk prediction models over the past four years to address the severe challenges posed by diabetic foot ulcers, which are among the leading causes of disability and mortality among diabetic patients. Diabetic foot ulcers are characterized by their complex aetiology, pose a grave threat to life and impose enormous social and economic burdens, thus becoming a critical issue in public health that urgently requires attention. By accurately predicting the risk of diabetic foot and implementing early intervention strategies, this study aimed to reduce its incidence and mortality rates. Methods: This study employed a systematic review and comprehensive analysis framework, conducted extensive searches of electronic databases (including PubMed, EMBASE, the Cochrane Library, CNKI, etc.) and supplemented these searches with manual literature collection to ensure comprehensive information coverage. During the literature screening and evaluation phase, strict adherence to the predetermined inclusion and exclusion criteria was maintained to guarantee the high quality of the included studies. Further detailed quality assessments, data extraction, and analysis of the selected literature were conducted, with a focus on exploring the construction strategies of risk prediction models, the selection of key variables, the evaluation indicators of model performance, and the validation methods. Results: By comparing and analysing the differences among studies in terms of methodology, model effectiveness, and practical application potential, this study summarized the development trends of diabetic foot risk prediction models and anticipated future research directions. These findings indicate that with the assistance of advanced diabetic foot risk prediction models, potential risk factors can be identified and addressed early on, thereby effectively reducing the incidence of diabetic foot and significantly improving patients’ quality of life. Conclusion: This study revealed that diabetic foot risk prediction models have significant effects on accurately identifying risk factors and guiding early interventions, serving as effective tools to reduce the incidence of diabetic foot. Through early identification and intervention, the prognosis and quality of life of patients can be significantly improved, providing important references and guidance for the field of public health.

Background: Community resilience, which fully reflects the ability of communities to resist, absorb, recover or adapt to disasters, has attracted international attention. Nurses are an important force in disaster prevention, relief and postdisaster reconstruction. This study aims to test the current level of community resilience in Dujiangyan city, which was seriously damaged by the Wenchuan earthquake, and analyze the causes. Methods: Community data from 952 residents, 574 families, 5 health care institutions and 12 communities in Dujiangyan city were collected by using stratified, cluster, map and systematic sampling methods. A new community resilience evaluation system from the perspective of nursing was used to test individual, family, health care and environmental resilience. Results: In Dujiangyan city, average scores were obtained for community resilience (3.93 ± 0.12), individual resilience (4.07 ± 0.64), family resilience (4.07 ± 0.6), health care resilience (3.84 ± 0.33) and community environment resilience (3.69 ± 0.46). Conclusions: The urban communities in Dujiangyan city had acceptable resilience, with good family and individual resilience and medium health care and community environment resilience, but environmental resilience had the lowest score. Because conditions and resilience levels varied among the communities, targeted measures should be taken to improve resilience based on population characteristics, management, professional organizations, hardware and software facilities.

Background: Grip strength is a key marker for sarcopenia screening, yet the influence of iodine nutritional status on low grip strength (LGS) remains poorly understood. Methods: This cross-sectional study analyzed 810 community-dwelling adults in Lanzhou, China, randomly assigned to training ( n = 568) and validation ( n = 242) cohorts. Logistic regression analyses identified factors associated with LGS. A nomogram integrating urinary iodine concentration (UIC), systolic blood pressure (SP), and routine clinical variables was constructed. Model performance was evaluated using ROC curves, Hosmer-Lemeshow test, and Brier scores. Restricted cubic spline (RCS) analysis assessed the dose–response relationship between UIC and LGS, with subgroup analyses by thyroid function. Results: LGS prevalence was 18.8% in the training cohort. Multivariate analysis showed female sex (OR = 0.34), greater height (OR = 0.94), and excessive iodine (OR = 0.36) were inversely associated with LGS, whereas age (60–74 years: OR = 2.20; ≥75 years: OR = 9.73), smoking (OR = 3.20), and SP (OR = 1.02) correlated with higher LGS odds. The nomogram demonstrated moderate discrimination (AUC: 0.723 training, 0.662 validation) with good calibration (Brier scores: 0.134 training, 0.147 validation; H-L p > 0.05). RCS analysis revealed a U-shaped association between UIC and LGS in unadjusted analyses, with the inverse associations most evident among euthyroid participants. Conclusion: The nomogram provides a practical, objective tool for early identification of individuals at high probability of LGS. Moderate-to-high UIC is associated with LGS odds, particularly in euthyroid adults. This model may guide targeted screening and interventions in community settings. In the cross-sectional design, causal inferences cannot be drawn; Further research is warranted to elucidate these complex relationships.

Background: The clinical paradigm for neonatal apnea has shifted profoundly, from managing acute cardiorespiratory events to preventing adverse long-term neurodevelopmental outcomes. This evolution has generated a vast and complex body of research, yet a systematic map of its historical trajectory, intellectual structure, and emerging frontiers is currently lacking. This study provides the first comprehensive bibliometric analysis of the global research landscape of neonatal apnea. Methods: Publications from the Web of Science Core Collection up to December 31, 2025 were retrieved, with 2,517 articles included for analysis. Co-authorship, citation, and keyword co-occurrence analyses were performed using VOSviewer and Bibliometrix to identify influential contributors, foundational research, and thematic evolution. Results: Research output showed sustained exponential growth (R²=0.8591), led by collaborative hubs in the United States and Australia. The field’s intellectual foundation rests on landmark trials of caffeine and non-invasive ventilation, and pivotal studies link intermittent hypoxemia to long-term disability. Thematic analysis revealed five distinct clusters, with a clear temporal evolution from foundational topics (e.g., periodic breathing) toward modern frontiers. Notably, neurodevelopment, machine learning, and the mechanisms of intermittent hypoxia have emerged as the dominant, high-impact research hotspots. Conclusions: This study charts the 46-year evolution of neonatal apnea research, quantitatively mapping its paradigm shift from a focus on acute respiratory control to a deep interrogation of its long-term neurodevelopmental consequences. Our findings provide a data-driven framework that identifies foundational pillars, core research areas, and critical emerging frontiers, offering a valuable compass for future investigation in this vital field.