Factors associated with health behaviours among stroke survivors: A mixed-methods study using COM-B model.

AIMS: To identify factors associated with health behaviours among stroke survivors, through a multi-centre study. DESIGN: A sequential mixed methods design. METHODS: In the quantitative research phase, a total of 350 participants were recruited through multi-stage sampling from December 2022 to June 2023. General information questionnaires, The Stroke Prevention Knowledge Questionnaire (SPKQ), Short Form Health Belief Model Scale (SF-HBMS), Health Promoting Lifestyle Profile (HPLPII), and the WHOQOL-BREF (World Health Organization Quality of Life Questionnaire, Brief Version) were distributed across five tertiary hospitals in Henan province, China. For the qualitative research component, semi-structured interviews were conducted to explore the barriers and facilitators of health behaviour. This study adheres to the GRAMMS guidelines. RESULTS: A total of 315 participants (90.0%) completed the survey. Identified barriers to health behaviour included residing in rural areas, higher scores on the Charlson Comorbidity Index (CCI) and mRS, as well as lower scores on SPKQ, SF-HBMS and WHOQOL-BREF. Twenty-four individuals participated in qualitative interviews. Twenty-eight themes were identified and categorised by frequency, covering areas such as knowledge, skills, intentions, social influences, social/professional role and identity, environmental context and resources, beliefs about capabilities, beliefs about consequences and behavioural regulation. Both quantitative and qualitative data suggested that health behaviour among stroke survivors is at a moderate level, and the identified barrier factors can be mapped into the COM-B model (Capability, Opportunity, Motivation and Behaviour). CONCLUSION: The study indicates that key barriers to health behaviour among stroke survivors align with the COM-B model. These identified factors should be carefully considered in the planning of future systematic interventions aimed at improving health behaviours among stroke survivors. PATIENT OR PUBLIC CONTRIBUTION: Patients were invited to completed questionnaires in the study and semi-structured interviews. The investigators provided explanation of this study' content, purpose and addressed issues during the data collection.

Effectiveness of health management among individuals at high risk of stroke: An intervention study based on the health ecology model and self-determination theory (HEM-SDT).

Background: Stroke is the second leading cause of death in adults worldwide. However, up to 80% of strokes can be prevented by modifying risk factors. Objective: The study aims to assess the effectiveness of the Health Ecology Model and Self-Determination Theory (HEM-SDT) based health management intervention among individuals at high risk of stroke. Methods: A randomized controlled trial was conducted in Zhengzhou from May 1st, 2020, to December 31st, 2020. A total of 229 participants were recruited for the study, with 116 individuals at high risk of stroke being randomly assigned to the HEM-SDT health management group, while 113 participants were enrolled in the control group, following their current routine practices. The Generalized Estimating Equation model (GEE) was used to analyze the differences in health knowledge, belief and, behavior between the two groups at the beginning of the intervention, and at 6-month intervals after the intervention. The chi-square test was utilized to assess the control rate of risk factors. Results: After 6 months of intervention, there were significant improvements in health knowledge, behavior, and belief among the participants. The study found significant differences in the interaction effects between time and group for health knowledge (Mean, SD = 25.62 ± 3.88, 95%CI: 7.944-9.604, P＜0.001), health belief (Mean, SD = 87.18 ± 14.21, 95%CI: 23.999-29.887, P＜0.001), and health behavior (Mean, SD = 173.28 ± 24.22, 95%CI: 22.332-36.904, P＜0.001). Additionally, the rates of hypertension, hyperglycemia, dyslipidemia, high or medium risk condition of stroke, obesity, hyperhomocysteinemia, smoking, alcohol consumption, and lack of exercise also showed statistical significance (P＜0.05) after the intervention. Conclusion: The HEM-SDT health management model improves the health knowledge, behavior, and beliefs in people at high risk of stroke and remarkably it shows improvement in modifiable risk factors. It can be recommended for systematic health management in people at high-risk of stroke.

Factor analysis of the Chinese version of the Self-care Ability Scale for the Elderly: A multi-centre cross-cultural validation study.

AIM: This study aimed to explore and confirm the factor structure and item distribution of the Chinese version of Self-care Ability Scale for the Elderly among older Chinese people. METHODS: A cluster random sampling method was used to collect 2856 older people from five different cities of China from July 2018 to July 2019. A questionnaire comprised of socio-demographic information and the Chinese version of the Self-care Ability Scale for the Elderly was administered, and SPSS 21.0 and Mplus 7.4 were used for analyses. RESULTS: Participants were aged 60 to 92 years, with a mean age of 71.52 (SD = 7.68) years. In the Exploratory Factor Analysis, the three-factor structure and item distribution of the Chinese version of the Self-care Ability Scale for the Elderly were verified to be better than other options. The factor loadings varied from 0.428 to 0.800, and the communality values ranged from 0.426 to 0.792. The modified model showed a good fit in the Confirmatory Factor Analysis. CONCLUSION: The Chinese version of the Self-care Ability Scale for the Elderly has a clear three-factor structure and a good item distribution. It serves as a convenient and accurate assessment tool to assess the self-care ability of older Chinese people.

Is sleep quality a moderated mediator between perceived stress and depression among stroke patients?

Background: Sleep quality can offer new insights into addressing depression among stroke patients. However, the current understanding of the mechanism by which sleep quality reduces depression is not clear in existing research. Objectives: This study aimed to identify the relationships and mechanisms among perceived stress, sleep quality, social support, and depression in stroke patients. Methods: A multicenter cross-sectional study was conducted from January to May 2023. Cluster random sampling was used to recruit 500 stroke patients from five hospitals in Henan Province, China. The Chinese Perceived Stress Scale (CPSS), Pittsburgh Sleep Quality Index (PSQI), Social Support Rating Scale (SSRS), and Hamilton Depression Scale (HAMD-24) were employed to assess perceived stress, sleep quality, social support, and depression, respectively. Data were analyzed using descriptive analysis, Pearson's correlation analysis, and moderated mediation analysis. The study adhered to the STROBE checklist for reporting. Results: Out of 500 participants, 471 completed the survey (94.2%). After controlling for sex and age, mediation analysis revealed that poor sleep quality partially mediated the relationship between perceived stress and depression (ß = 0.184, 95% CI: 0.110, 0.359). Additionally, social support played a moderating role in the mediation model. Conclusion: This study explained the moderated mediation of sleep quality and social support between perceived stress and depression. It provided a theoretical basis for the development of a sleep quality intervention program for reducing depression among stroke patients.

Testing Two Student Nurse Stress Instruments in Chinese Nursing Students: A Comparative Study Using Exploratory Factor Analysis.

BACKGROUND: The development and transformation of nursing within professional tertiary education have exerted a great pressure and challenge upon nursing students. Stress experienced by nursing students is a common precursor of psychological distress and attrition. However, no scale is specifically used to evaluate the sources of stress experienced by nursing students in Mainland China. Aims and Objective. This study is aimed at testing and comparing the reliability and validity including sensitivity and specificity of two nursing students' stress instruments, the Chinese version of Student Nurse Stress Index Scale (SNSI-CHI), and the Stressors in Student Nursing Scale (SINS-CN) in Chinese nursing students, and describing the stress status of nursing students in China. METHODS: A cross-sectional survey was conducted in two nursing schools in Henan Province from August 2017 to January 2018. Data were collected by using a questionnaire comprising the Chinese version of SNSI (SNSI-CHI), the Chinese version of SINS (SINS-CN), and the Chinese Perceived Stress Scale (CPSS). Homogeneity and stability, content, construct and concurrent validity, and sensitivity and specificity were assessed. RESULTS: The Cronbach's alpha (α) of SNSI-CHI was 0.90, and the item-to-total correlations ranged from 0.35 to 0.66. The Cronbach's α of SINS-CN was 0.93, and the item-to-total correlations ranged from 0.19 to 0.61. The findings of exploratory factor analysis (EFA) confirmed a good construct validity of SNSI-CHI and SINS-CN. The Pearson's rank correlation coefficients, between total scores of SNSI-CHI and CPSS and SINS-CN and CPSS, were assessed to 0.38 (P < 0.01) and 0.39 (P < 0.01), respectively. Regarding the CPSS, as the criterion, the cut-points of SNSI-CHI and SINS-CN for the area under the receiver operator characteristic (ROC) curve were 0.77and 0.66, respectively. CONCLUSION: Both scales are valid and reliable for evaluating the source of stress of student nurses in China. Each has its own characteristics, but the SNSI-CHI demonstrated marginal advantage over the SINS-CN. The SNSI-CHI is short, is easily understood, and with clear dimension for the nursing students, and the SNSI-CHI is more acceptable for the users in China.

Type C Personality and Depression Among Newly Diagnosed Breast Cancer Patients: The Mediating Role of Sense of Coherence.

PURPOSE: This study aims to explore the mediating role of sense of coherence in the relationship of type C personality and depression among newly diagnosed breast cancer patients. METHODS: A descriptive and correlational survey was conducted in 600 breast cancer patients aged ≥18 years from September 2018 to March 2019 in Zhengzhou, China. The demographic questionnaire, Cancer Behavior Scale, Sense of Coherence Scale and Hamilton Depression Scale were included in this study. Data analysis was performed by correlation analysis, multiple linear regression analysis, and structural equation modeling. RESULTS: The valid questionnaires were 575 (effective response rate: 95.8%). The score of sense of coherence was negatively correlated with type C personality and depression (r = -0.41, P < 0.01; r = -0.58, P < 0.01); the score of type C personality and depression were positively correlated (r = 0.51, P < 0.01). The results of multiple linear regression analysis revealed that the effect of type C personality on depression was partly mediated by sense of coherence, which was confirmed by structural equation modeling. The mediation effect accounts for 45.2% (0.269/0.594) of the total effect. CONCLUSION: The results of this study revealed that sense of coherence as a partial mediating role is essential for reducing the influence of type C personality on depression. Early and targeted psychological interventions on sense of coherence are needed to alleviate the symptom of depression in newly diagnosed breast cancer patients.