Conectar
The aim of this study was to investigate factors affecting psychosocial adaptation in intestinal stoma patients and to identify central symptoms that might guide future interventions through network analysis.
A multicenter cross-sectional study.
All intestinal stoma patients were evaluated for psychosocial adaptation using the Ostomy Adjustment Inventory-20 (OAI-20). Univariate and multivariate linear regression were used to analyse the potential relationship between the level of psychological adjustment of intestinal stoma patients and individual factors. By network analysis, we calculated the centrality indicators for each node in the ostomy psychosocial adaptation network at different levels of low, medium and high, respectively.
This study ultimately enrolled a total of 19,909 intestinal stoma patients from 202 Chinese hospitals, out of which 6408 reported low psychosocial adaptation. It was found that there is a negative association between being female, partially self-care, completely dependent on others for care and having no medical insurance with psychosocial adaptation scores. In the low-level psychosocial adaptation network, no. OAI-14:limited activity, no. OAI-9: worried about ostomy, and no. OAI-11:always like a patient were identified as central indicators.
Being female, partially self-care, completely dependent on others for care, and having no health insurance can be considered characteristics of patients with lower psychosocial adaptation. Network analysis results provide intervention targets to improve adaptation.
Individualised and precise interventions can be carried out in terms of both the influencing factors and the most influential nodes of psychosocial adaptation in order to improve the level of psychosocial adaptation in intestinal stoma patients.
No patient or public contribution.
To explore latent profiles of social isolation in maintenance haemodialysis (MHD) patients and to analyse the factors influencing different latent profiles.
Multicentre cross-sectional study.
Between November 2024 to March 2025, 305 MHD patients from the haemodialysis centres of three hospitals in Henan Province, China, were recruited using a convenience sampling method. All participants completed the general information questionnaire, Lubben Social Network Scale 6 (LSNS-6), UCLA Loneliness Scale-6 (ULS-6) and Personal Mastery Scale. Latent Profile Analysis (LPA) was used to classify the participants into potential subgroups with different types of social isolation. The influencing factors of profiles were explored by univariate analysis and multiple logistic regression analysis.
Social isolation of 305 patients can be divided into three profiles: the family-friend dual isolation group (14.10%), friend isolation-only group (47.54%), and social network well-being group (38.36%). Multivariable logistic regression analysis revealed that monthly personal income, living arrangement, social participation, dialysis time, post-dialysis fatigue, number of comorbidities, loneliness and personal mastery were identified as factors influencing the profiles.
There is heterogeneity in social isolation among MHD patients. It is therefore necessary to implement targeted intervention measures based on the distinct characteristics of each subgroup to facilitate their social reintegration.
Nurses should identify differences in social isolation among MHD patients. It is necessary to establish tripartite connections between families, hospitals and communities, and develop personalised psychosocial interventions to alleviate social isolation.
The study identified distinct subgroups of social isolation among MHD patients, while emphasising the impact of psychological resources such as loneliness and personal mastery on social isolation. This may offer critical insights for nurses to develop targeted interventions for patients' social health.
The study followed the STROBE guidelines for cross-sectional studies.
No patient or public involvement.
FreshRSS 