In the digital age, electronic health literacy (eHealth literacy) of community-dwelling older people plays a potentially important role in their health behaviors which are critical for health outcomes. Researchers have documented that self-efficacy and self-care ability are related to this relationship. This study aimed to assess the relationship between eHealth literacy and health promotion behaviors among older people living in communities and explore the chain mediating role of self-efficacy and self-care ability. For this cross-sectional study, we used data from 425 older adults at 3 communities in Qingdao, Shandong Province in Northeastern China, from June to September 2021. Path analysis using the structural equation model was performed. We found that eHealth literacy was significantly associated with health promotion behaviors in older people. Additionally, eHealth literacy indirectly affected health promotion behaviors through self-efficacy and self-care ability, respectively. In addition, the chain mediation effect was identified in the relationship of eHealth literacy and health promotion behaviors: eHealth literacy→ self-efficacy→ self-care ability→ health promotion behaviors. These findings offer promising directions for developing interventions to modify older adults’ health behaviors through enhancing their eHealth literacy. These interventions should integrate components that target improving the self-efficacy and self-care ability of older people.

Research has indicated that clinical serious disease may lead to posttraumatic growth (PTG). However, little is known about PTG among hemodialysis (HD) patients. The study examined the relationship among resilience, rumination and PTG among Chinese HD patients. 196 HD patients were recruited from a tertiary hospital in a Northern city of China between 1 June 2015 and 30 May 2016. Patients were surveyed using the Posttraumatic Growth Inventory-Chinese version, Connor-Davidson Resilience Scale, and Chinese Event Related Rumination Inventory. Correlation analyses showed that resilience was most highly positively correlated with PTG (r = .70, p < .001), deliberate rumination moderately correlated to PTG (r = .50, p < .001), and intrusive rumination was lower negatively related to PTG (r = –.26, p < .001). Regression analyses showed that age, gender, duration of dialysis, resilience and deliberate rumination had significant associations with PTG (β = −.31, p ＜ .0001; β = –.14, p = .002; β = .10, p = .032; β = .44, p < .001; β = .20, p < .001). They together explained 65% of the total variance in PTG (F [8,195] = 46.74, p < .001). However, intrusive rumination was not associated with PTG (p > .05). The results suggested that resilience and deliberate rumination may be instrumental for PTG improvement.

Objectives: The purpose of this study was to explore the relationship between social support, eHealth literacy, healthcare technology self-efficacy, and technophobia. It also analyzed the mediating effect of eHealth literacy and healthcare technology self-efficacy between social support and technophobia. Methods: Older patients with coronary heart diseases (n = 396) from four communities in Qingdao were interviewed using the Technophobia Scale, Social Support Rating Scale, eHealth Literacy Scale and Healthcare Technology Self-Efficacy Scale. Data were analyzed using common method deviation test, Pearson’s bivariate correlation analysis, and mediation analysis using the PROCESS macro. Results: Social support was significantly positively correlated with eHealth literacy (r = 0.614, p < 0.01) and healthcare technology self-efficacy (r = 0.635, p < 0.01), and significantly negatively correlated with technophobia (r = −0.578, p < 0.01). eHealth literacy was significantly positively correlated with healthcare technology self-efficacy (r = 0.822, p < 0.01), and significantly negatively correlated with technophobia (r = −0.651, p < 0.01). Healthcare technology self-efficacy was significantly negatively correlated with technophobia (r = −0.700, p < 0.01). Social support had a total indirect effect on technophobia of −0.410, with eHealth literacy and healthcare technology self-efficacy mediating 24.9% and 30.2% of this effect respectively, and the chain mediating effect accounting for 44.9%. Conclusions: Our findings provide a theoretical reference for nursing to develop appropriate interventions to alleviate technophobia among older patients with CHD.

Objectives: Understanding the health literacy status of patients with gout diagnosis is essential for improving the health of this population. Our study aimed to investigate the latent profiles of health literacy in patients with gout and to analyze differences in characteristics across potential profiles. Methods: This was a cross-sectional study. Eligible participants attended the Shandong Gout Medical Center, from March 2023 to May 2023 and self-reported gout diagnosis. We used the Health Literacy Scale for Patients with Gout designed and validated by our team. The scale had good reliability and validity among patients with gout. 243 patients completed the Demographic Information Questionnaire and the Health Literacy Scale for Patients with Gout. We used latent profile analysis to identify the latent profiles of gout patients’ health literacy. We used Chi-square tests with Bonferroni correction to analyze differences in demographics and illness characteristics across identified profiles. Results: Three profiles of patients with gout emerged (prevalence): the low literacy-low critical group (21.81%), the moderate literacy group (42.79%), and the high literacy-stable group (35.39%). The three groups differed in age, education level, monthly income, disease duration, and place of residence (P<0.01). Conclusions: The health literacy of patients with gout was heterogeneous. Healthcare professionals should adopt targeted interventions based on the characteristics of each latent health literacy profile to improve the health literacy level of patients with gout.

In terms of social and psychological health of enterostomy patients during hospitalization and discharge transition period, the degree of social isolation in patients during discharge transition period is higher than that during hospitalization period, which is usually manifested by poor self-perception of body image changes. Self-esteem (shame) frustration, severe negative emotions, low psychosocial adjustment, and other factors are closely related to postoperative complications, coping self-efficacy, social support level, family living conditions, and other influencing factors. This is an important reason why patients are difficult to adapt to ostomy life and low quality of life. At present, it is believed that the social isolation related evaluation scale can be used to understand the status quo of patients with social isolation and provide nursing guidance, so as to better cope with the adverse medical outcomes caused by social isolation.