To examine the relationship between pain, sleep, and intrinsic capacity (IC). A cohort study. Data were obtained from participants in China Health and Retirement Longitudinal Study (CHARLS) 2011-2015. The study population consisted of older adults who completed assessments on pain, sleep duration, sleep quality and IC at baseline. Pain, sleep duration, and sleep quality were assessed through self-reports from participants. The total IC score was derived from five domains: psychological, sensory, cognitive, locomotor, and vitality. The relationships between pain, sleep duration, sleep quality and IC were analyzed using linear mixed models. The relationship between sleep duration and IC was analyzed using quadratic analysis. Stratified analyses by gender and age were also performed. A total of 3517 participants were included in the analysis. After adjusting for all covariates, single-site pain (β = -0.29, 95% confidence interval [CI] = -0.38 to -0.20) and multisite pain (β = -0.41, 95% CI = -0.48 to -0.34) were significantly associated with a decrease in IC compared with older adults without pain; long sleep duration (β = -0.15, 95% CI = -0.24 to -0.06) was significantly associated with a decrease in IC compared with older adults with moderate sleep duration; and poor sleep quality (β = -0.63, 95% CI = -0.71 to -0.55) and fair sleep quality (β = -0.33, 95% CI = -0.40 to -0.27) were significantly associated with a decrease in IC compared with older adults with good sleep quality. To maintain IC, it is important to ensure approximately 7.5 h of sleep duration, improve sleep quality, and manage pain. Interventions should begin as early as possible.

Setting. Thoracic surgery department of a tertiary hospital. Background. Fear of pain (FOP) has been recognized as an influential moderator and determinant of the perception and disability of chronic pain. However, studies on FOP in postoperative acute pain are few and inconsistent. Objective. To explore whether FOP is related to pain intensity after thoracic surgery and provide a reference for FOP study in postoperative pain. Methods. From February to March 2022, 89 patients completed Chinese Version of Fear of Pain-9 Items (FOP-9), Chinese version of the Brief Pain Inventory (BPI, including least, worst, and average pain) and Simplified Chinese version of the Pain Catastrophizing Scale (PCS). Correlation analyses and mediation analyses were used for exploring the relationship between factors. Results. Mediation analyses showed that the total effects of FOP-9 on BPI all were significant (least pain: effect = 0.085, , 95% CI = 0.019∼0.151; worst pain: effect = 0.116, , 95% CI = 0.037∼0.196; average pain: effect = 0.102, , 95% CI = 0.031∼0.174) indicating that FOP-9 was a predictor to BPI. The 95% bias-corrected bootstrap confidence interval of estimate of indirect effect between FOP-9 and least pain/average pain through PCS was −0.036∼0.024 and −0.003∼0.069 (all contain zero), which indicated that PCS is not a mediator between FOP-9 and least pain/average pain. However, the estimate of indirect effect between FOP-9 and worst pain through PCS were 0.048 (95% CI = 0.095∼0.088), and direct effect was not statistically significant (95% CI = −0.017∼0.153), indicating that PCS acted as a complete intermediary between FOP-9 and worst pain. FOP-9 and PCS showed significant positive prediction effect on worst pain. Conclusions. Both trait FOP and state FOP were associated with higher postoperative pain reports after thoracic surgery. Trait FOP influences postoperative pain through the mediating effect of state FOP.

To understand the current status of public knowledge of automated external defibrillator (AED) and their willingness to use public AED in Hubei Province, along with the influencing factors. A self-designed questionnaire was used for convenience sampling of the public in Hubei Province. The questionnaire consists of three parts: basic information, AED knowledge questions, and willingness to use public AED and influencing factors. Data was collected between May 2022 and March 2023. A total of 1561 valid questionnaires were collected from 1602 distributed. In the study conducted in Hubei Province, it was found that 875 respondents (56.05%) had knowledge of automated external defibrillator, and they achieved an average score of 39.27 ± 29.17. The pass rate for the survey was 28.11%. Several factors were identified as significant influencing factors, including gender, age, education level, occupation related to medicine, residential location in the past three years, family members with cardiovascular disease, marital status, residential population density, whether there are family members over 65 years old, and participation in AED-related training (P < .05).Furthermore, 692 respondents (72.99%) expressed their willingness to cardiopulmonary resuscitation for someone experiencing cardiac arrest. On the other hand, 686 respondents (43.95%) had no knowledge of AED. Among those who were not willing to perform defibrillation, the highest percentages cited “fear of incorrect use” (129, 31.2%) and “fear of harming the patient” (121, 29.3%) as their reasons. The study also found statistically significant differences in the willingness to use public AED based on participation in training, education level, residential location, family members with cardiovascular disease, population density, and the presence of elderly family members aged 65 or over (P < .05). In conclusion, the study highlights the general lack of public knowledge regarding AED in Hubei Province. However, there is a strong willingness among respondents to provide help during cardiac arrest situations. To improve the chances of survival for cardiac arrest patients, it is crucial to strengthen public AED training programs.

This study aims to investigate healthcare students’ intention to use virtual reality simulations. By using the Technology Acceptance Model, the research delves into the factors influencing students’ acceptance and adoption of virtual reality simulations. Following a cross-sectional design, this article adheres to the STROBE Statement guidelines. The study included 632 undergraduate healthcare students from three universities in China. Data were collected through online questionnaires administered at three comprehensive universities in China between June 19, 2023, and January 15, 2024. Self-reported measurements were used, and hypotheses were analyzed using Amos software to construct a structural equation model. The study reveals positive correlations, indicating that habits are positively associated with perceived ease of use and perceived usefulness. Furthermore, system quality is positively correlated with perceived ease of use and perceived usefulness. Notably, perceived ease of use positively influences perceived usefulness, and both perceived ease of use and perceived usefulness are positively linked to intention to use. The findings suggest that educational institutions and educators should prioritize students’ habits, platform system quality, perceived usefulness, and perceived ease of use to enhance healthcare students’ intention to engage with virtual reality simulations.