This study examined the association between post-stroke cognitive function and sleep status at 30 days post-stroke and evaluated the role of anxiety and depression as potential mediators of that association. The participants in this study were 530 acute ischemic stroke (IS) patients. Sleep disturbance at 30 days post-stroke was assessed by the Pittsburgh Sleep Quality Index. Basic patient information, cognitive function, depression, and anxiety status were assessed before discharge from the hospital. Stratified linear regression analysis models were fit to examine the associations between post-stroke sleep quality and the influencing factors. A structural equation model was developed to evaluate the role of anxiety and depression as potential mediators of sleep quality and cognitive function. At 30 days post-stroke, 58.7% of IS patients had sleep disturbance. Women and older IS patients were more likely to suffer poorer sleep quality (p < 0.05). A stratified linear regression analysis showed that the inclusion of cognitive function variables and indicators of depression and anxiety were statistically significant in predicting improvement in the sleep disturbance of AIS patients. Cognitive function, depression, anxiety, and sleep status were selected to construct a structural equation model. The total effect of cognitive function on sleep status was −0.274, with a direct effect of −0.097 and an indirect effect (through depression) of −0.177. The total effect of anxiety on sleep status was 0.235, with a direct effect of 0.186 and an indirect effect (through depression) of 0.049. IS patients often experience poor sleep quality. Depression in IS patients mediates two pathways: the pathway through which cognitive function affects sleep quality and the pathway through which anxiety affects sleep quality.

Objective: To examine the relationship between caregiver competence and health-related quality of life (HRQoL) among family caregivers of disabled elderly adults, and to evaluate the role of caregiver burden as a potential mediator of that relationship. Design: Cross-sectional study. Setting: Two general hospitals in Shanghai, China. Participants: Study participants were 135 family caregivers of disabled elderly adults listed on a roster for outpatient and emergency services utilisation from January to March 2022. Data analysis and outcome measures: We used stratified linear regression and structural equation model analysis. HRQoL was the main outcome, measured using the Medical Outcomes Study 36-Item Short form Health Survey. Caregiver competence was assessed using the Family Caregiver Task Inventory, and caregiver burden was assessed with the Zarit Burden Interview. Results: Caregivers of moderately and severely disabled elderly adults showed poorer scores in Physical Component Summary (F=20.463, p<0.05) and Mental Component Summary (F=17.062, p<0.05) compared with caregivers of older adults with mild disabilities. At the same time, those caregivers showed higher scores on the caregiving burden (F=19.533, p<0.05) and caregiving difficulties (F=16.079, p<0.05). A structural equation model was performed and successfully adjusted (χ ² /df=1.175, p=0.261, NFI=0.970, RFI=0.949, IFI=0.995, CFI=0.995, GFI=0.963, TLI=0.992, AGFI=0.920, RMSEA=0.036). The total effect of Family Caregiver Task Inventory scores on HRQoL scores was −0.980, with a direct effect of −0.645. The mediating effect on HRQoL scores through the intermediate variable of caregiver burden scores was −0.335. Conclusions: Family caregivers’ HRQoL is closely related to caregiver difficulties and burdens. Early identification and targeted measures are needed to reduce the burden and problems in caregiving.