Objective To investigate the level of benefit finding and positive psychological capital of stroke patients and their spouses,and to analyse the dyadic interaction between benefit finding and positive psychological capital of patients and their spouses.Methods From March to August 2023,235 stroke patients and their spouses were conveniently selected from the neurology wards of 3 tertiary hospitals in Henan Province,and were surveyed using a general information questionnaire,the positive psychological capital questionnaire,revised version of benefit finding scale,and caregiver benefit finding scale.Results The positive psychological capital scores of stroke patients and their spouses were(4.29±0.75)and(4.56±0.71);benefit finding scores of the dyads were(2.85±0.69)and(3.64±0.68).The results of actor-partner interdependence model showed that positive psychological capital of stroke patients and their spouses positively predicted their benefit finding;positive psychological capital of patients positively predicted benefit finding of spouses,and positive psychological capital of spouses positively predicted benefit finding of patients(all P＜0.05).In particular,spousal self-efficacy and resilience positively predicted their benefit finding;their optimism positively predicted the patient's benefit finding;their hopefulness negatively predicted the patient's benefit finding(all P＜0.05).Conclusion There was a dyadic interaction between benefit finding and positive psychological capital for stroke patients and their spouses.The role of spouses on patients'positive psychological capital should not be overlooked,and nurses should develop positive psychological capital intervention strategies centered on couples of stroke patients to enhance positive couple experiences.

Objective To explore the categories of dyadic mental health literacy among stroke patients and their caregivers,and to analyze the differences in the characteristics of different classes of stroke patients and their caregivers.Methods A convenient sampling method was used to select 287 dyads of stroke patients and their caregivers who were treated at a tertiary general hospital in Henan province from July to October 2020.The general information questionnaire,Multicomponent Mental Health Literacy and Social Support Rating Scale were used for investigation.Latent profile analysis was adopted to explore the categories of dyadic mental health literacy,and multiple logistic regression was used to analyze the influencing factors of each category.Results Stroke patients and their caregivers were divided into 4 categories based on scores of mental health literacy:dyadic low resource group(19.86％),dyadic low literacy group(54.36％),dyadic low belief group(11.15％),dyadic high literacy group(14.63％).The patient's age,average monthly household income,the caregiver's age,the caregiver's Social Support Rating Scale score,the caregiver's educational level,daily care time and total time length of care were the factors influencing the categories of dyadic mental health literacy among stroke patients and their caregivers(P＜0.05).Conclusion Stroke patients and their caregivers were divided into 4 categories based on scores of mental health literacy.Medical staff should carry out comprehensive psychological interventions for stroke patients and their caregivers with different dyadic mental health literacy characteristics,so as to improve dyadic mental health literacy.

Purpose: To understand the recurrence risk perception of stroke patients and develop a chain mediation model of recurrence risk perception and health behavior. Methods: A cross-sectional study and convenience sampling were used. Stroke survivors were recruited from the neurology departments of three tertiary hospitals. Their recurrence risk perception, behavioral decision-making, social support, self-efficacy, recurrence worry, and health behavior were measured by relevant tools. Data was analyzed through one-way analysis and regression analysis, and the AMOS 21.0 software was used to explore the mediating relationships between variables. Results: Of the 419 participants, 74.7% were aware of stroke recurrence risk. However, only 28.2% could accurately estimate their own recurrence risk. Recurrence risk perception was significantly correlated with behavioral decision-making, social support, self-efficacy, and health behavior (r = .19 ∼ .50, p < .05). Social support and recurrence risk perception could affect health behavior indirectly through self-efficacy, behavioral decision-making, and worry. Behavioral decision-making acted as a main mediator between recurrence risk perception and health behavior, while the path coefficient was .47 and .37, respectively. The chain mediation effect between recurrence risk perception and health behavior was established with a total effect value of .19 (p < .01). Conclusion Most stroke survivors could be aware of recurrence risk but failed to accurately estimate their individual risk. In the mediation model of recurrence risk perception and health behavior, social support seemed to be an important external factor, while self-efficacy, behavioral decision-making, and worry seemed to act as key internal factors.

Purpose: To understand the recurrence risk perception of stroke patients and develop a chain mediation model of recurrence risk perception and health behavior. Methods: A cross-sectional study and convenience sampling were used. Stroke survivors were recruited from the neurology departments of three tertiary hospitals. Their recurrence risk perception, behavioral decision-making, social support, self-efficacy, recurrence worry, and health behavior were measured by relevant tools. Data was analyzed through one-way analysis and regression analysis, and the AMOS 21.0 software was used to explore the mediating relationships between variables. Results: Of the 419 participants, 74.7% were aware of stroke recurrence risk. However, only 28.2% could accurately estimate their own recurrence risk. Recurrence risk perception was significantly correlated with behavioral decision-making, social support, self-efficacy, and health behavior (r = .19 ∼ .50, p < .05). Social support and recurrence risk perception could affect health behavior indirectly through self-efficacy, behavioral decision-making, and worry. Behavioral decision-making acted as a main mediator between recurrence risk perception and health behavior, while the path coefficient was .47 and .37, respectively. The chain mediation effect between recurrence risk perception and health behavior was established with a total effect value of .19 (p < .01). Conclusion Most stroke survivors could be aware of recurrence risk but failed to accurately estimate their individual risk. In the mediation model of recurrence risk perception and health behavior, social support seemed to be an important external factor, while self-efficacy, behavioral decision-making, and worry seemed to act as key internal factors.

Purpose: To understand the recurrence risk perception of stroke patients and develop a chain mediation model of recurrence risk perception and health behavior. Methods: A cross-sectional study and convenience sampling were used. Stroke survivors were recruited from the neurology departments of three tertiary hospitals. Their recurrence risk perception, behavioral decision-making, social support, self-efficacy, recurrence worry, and health behavior were measured by relevant tools. Data was analyzed through one-way analysis and regression analysis, and the AMOS 21.0 software was used to explore the mediating relationships between variables. Results: Of the 419 participants, 74.7% were aware of stroke recurrence risk. However, only 28.2% could accurately estimate their own recurrence risk. Recurrence risk perception was significantly correlated with behavioral decision-making, social support, self-efficacy, and health behavior (r = .19 ∼ .50, p < .05). Social support and recurrence risk perception could affect health behavior indirectly through self-efficacy, behavioral decision-making, and worry. Behavioral decision-making acted as a main mediator between recurrence risk perception and health behavior, while the path coefficient was .47 and .37, respectively. The chain mediation effect between recurrence risk perception and health behavior was established with a total effect value of .19 (p < .01). Conclusion Most stroke survivors could be aware of recurrence risk but failed to accurately estimate their individual risk. In the mediation model of recurrence risk perception and health behavior, social support seemed to be an important external factor, while self-efficacy, behavioral decision-making, and worry seemed to act as key internal factors.

Objective To explore the influencing factors of dwarfism in children and construct a nomogram model. Methods From June 2020 to December 2022, 1, 500 children were selected as the research objects, and 1, 422 cases were effectively investigated. According to incidence of dwarfism, the children were divided into normal group (n=1, 351) and dwarfism group (n=71). Univariate and multivariate Logistic regression analyses were used to explore the influencing factors of dwarfism in children; the R software was used to construct a nomogram model for prediction of the occurrence of dwarfism in children, and the receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the discrimination and consistency of the nomogram model. Results Among the 1 422 children, 71 cases had dwarfism, with an incidence rate of 4.99%. Multivariate Logistic regression analysis showed that birth weight, family history of dwarfism, milk intake and physical exercise were the influencing factors for the occurrence of dwarfism in children (P < 0.05). The area under the curve of the ROC curve predicted by the nomogram model for the occurrence of dwarfism in children was 0.897 (95%CI, 0.856 to 0.938), with good discrimination; the calibration curve slope of the nomogram model for predicting the occurrence of dwarfism in children approached 1, and the Hosmer-Lemeshow goodness of fit test showed that the was 5.020 and P was 0.740, indicating good consistency. Conclusion The nomogram model for predicting the occurrence of dwarfism in children based on four influencing factors of birth weight, family history of dwarfism, milk intake and physical exercise has good discrimination and consistency, which can provide reference for the development of personalized intervention measures in clinical practice.

Objective To investigate the influencing factors of facial pressure injury related to ventilation in prone positioning in children with severe pneumonia and to construct a nomogram prediction model. Methods A total of 158 children with severe pneumonia who underwent prone positioning ventilation were selected as research subjects. Clinical data were collected, and the children were divided into injury group (31 cases) and non-injury group (127 cases) based on whether facial pressure injury occurred. Univariate and multivariate Logistic regression analysis were used to explore the influencing factors of facial pressure injury related to prone positioning ventilation in children with severe pneumonia; the receiver operating characteristic (ROC) curve, consistency index, and Hosmer-Lemeshow goodness-of-fit test were used to evaluate the predictive efficiency of the nomogram model for facial pressure injury related to prone positioning ventilation in children with severe pneumonia. Results Univariate analysis showed that the proportion of children aged < 3 years, the proportion of those with complications, ventilation time in prone positioning, the proportions of children with sedative drugs and poor nutritional status, no decompression dressings, and the proportions of children without prone positioning ventilation training for medical staff in the injury group were higher or longer than that in the non-injury group (P < 0.05). Multivariate Logistic regression analysis showed that age < 3 years, presence of complications, longer prone positioning ventilation time, no decompression dressings, and lack of prone positioning ventilation training for medical staff were independent risk factors for facial pressure injury related to prone positioning ventilation in children with severe pneumonia (P < 0.05), and a nomogram prediction model was constructed based on these factors. The consistency index of the nomogram model was 0.940, and the area under the ROC curve was 0.978 (95%CI, 0.958 to 0.999). The calibration curve of predicting facial pressure injury related to prone positioning ventilation in children with severe pneumonia approached the ideal curve, and the Hosmer-Lemeshow goodness-of-fit test showed good fitting (χ²=12.416, P < 0.05). Conclusion The nomogram prediction model constructed based on 5 independent risk factors in this study has high risk identification ability and can early identify high-risk children with facial pressure injury related to prone positioning ventilation in severe pneumonia.

Patient activation is the core part of the chronic disease health care model, which plays a significant role in promoting patients' healthy behaviors, improving clinical indicators, and reducing medical utilization and costs. This article reviews the relevant theories, measurement tools, effects and intervention strategies of patient activation. This article puts forward the suggestion that Chinese medical system should include the Patient Activation Measure and carry out personalized intervention according to patients' activation level, which aims at providing a reference for improving the activation and self-management of patients with chronic diseases.

With the rapid development of information and communication technology and the internet, the application of telemental health services has become more and more extensive. This paper introduces the concept and development of telemental health, and expounds the mode and setting of telemental health services abroad. This paper focuses on the review of the implementation methods and application effects of foreign telemental health services in the rehabilitation of stroke patients, so as to provide a reference for the clinical development of telemental health services in China to promote the rehabilitation of stroke patients.