Objective A Nomogram model of cognitive frailty was constructed and validated in hospitalized older adults,providing a reference for early screening,intervention and personalized management of cognitive frailty.Methods A convenience sampling approach was employed to recruit 322 elderly inpatients from a tertiary hospital in Beijing between October 2024 and February 2025 as study participants,and data were collected using the General Information Questionnaire,the Short Form-Mini-Nutritional Assessment,the Asens Insomnia Scale,the Activity of Daily Living Rating,the Self-Rating Anxiety Scale,the Geriatric Depression Scale-15,the Social Support Rating Scale,the Frailty Phenotype scale,the Subjective Cognitive Decline Questionnaire-9,the Mini-Mental State Examination,and the Clinical Dementia Rating.Lasso-Logistic regression was used to screen the variables,R software was used to draw the nomogram model;Bootstrap method was used for internal validation.Results Lasso-Logistic regression screened 8 predictors of age,depression,anxiety,support utilization,nutritional status,literacy,physical activity,and chronic pain,with an area under the subject operating characteristic curve of 0.830(95％CI:0.787-0.873),a sensitivity of 0.764,a specificity of 0.730,an accuracy of 0.748,and a calibrated curve,Brier score,and Hosmer-Lemeshow test(P=0.774)all showed that the model fit was good.Conclusion The Lasso-Logistic regression-based nomogram model of cognitive frailty in hospitalized older adults has good predictive performance and clinical utility,and can be used as a reference for early identification and intervention of cognitive decline in hospitalized older adults.

Objective:To explore the relationship between suggestion presentation, cognitive load, and adherence to nursing interventions for delirium.Methods:A prospective randomized controlled trial was conducted to recruit 47 nurses from 4 ICU units in Xuanwu Hospital, Capital Medical University from October 2021 to January 2022. They were divided into an intelligent group with 24 participants (using the intelligent nursing system for ICU delirium) and a non-intelligent group with 23 participants (using the paper-version implementation plan of delirium) by the random number table method. The cognitive load levels and adherence to nursing interventions were measured on day 7 of the study. AMOS 28.0 software was used to analyze the relationship between suggestion presentation, cognitive load, and adherence. The mediation effect was tested using the Bootstrap method.Results:In the intelligent group, there were 5 male and 19 female nurses, aged (33.33 ± 5.57) years. In the non-intelligent group, there were 1 male and 22 female nurses, aged (32.65 ± 3.46) years. The scores of extraneous cognitive load, germane cognitive load, and adherence to nursing intervention in the intelligent group were (6.42 ± 1.72), (7.15 ± 1.71) and (0.71 ± 0.05)%, respectively, compared with (7.78 ± 2.08), (6.07 ± 1.48) and (0.58 ± 0.08)% in the non-intelligent group. The differences were statistically significant ( t=6.06, 5.35, 41.47, all P<0.05). The Bootstrap method showed that both extraneous cognitive load (effect size=0.043, 95% CI 0.024 to 0.090, P<0.05) and germane cognitive load (effect size=0.026, 95% CI 0.017 to 0.082, P<0.05) played a partial mediating effect between suggestion presentation and adherence to nursing intervention, the total mediating effect accounted for 17.29%. Conclusions:Using the intelligent system to change the presentation of delirium nursing interventions can reduce the extraneous cognitive load and increase the germane cognitive load of ICU nurses, and then improve the adherence of nurses to implement delirium nursing interventions. Our study provides a clinical practice basis for improving the quality of clinical nursing.

Objective:To explore the current status and influencing factors of intrinsic capacity in elderly patients with Parkinson's disease.Methods:Convenience sampling was used to select 306 elderly patients with Parkinson's disease who attended Xuanwu Hospital of Capital Medical University from March to September 2024 for the study. Influencing factors were screened based on the health ecology model. Elderly patients with Parkinson's disease were surveyed using the General Information Questionnaire, Connor-Davidson Resilience Scale, Family APGAR Scale, Social Support Rating Scale, and Intrinsic Capacity Assessment Tool. Multiple linear regression was used to analyze the factors influencing the total score and the scores of each dimension of intrinsic capacity in elderly patients with Parkinson's disease.Results:A total of 306 questionnaires were distributed and 301 valid questionnaires were recovered, with a valid recovery rate of 98.37% (301/306). The total intrinsic capacity score of 301 elderly patients with Parkinson's disease was (67.21±11.47), of which 297 elderly patients with Parkinson's disease had impaired intrinsic capacity, and the rate of impaired intrinsic capacity was 98.7% (297/301). The dimensions in descending order of impairment were motor [89.7% (270/301) ], mental [76.1% (229/301) ], sensory [70.4% (212/301) ], vitality [38.2% (115/301) ], and cognitive [25.6% (77/301) ]. Multiple linear regression analysis showed that age, Hoehn-Yahr staging, levodopa equivalent dosage, activity of daily living, history of falls, regular exercise, psychological resilience, social support, and monthly income were the factors influencing the total intrinsic capacity score of elderly patients with Parkinson's disease ( P<0.05) and heterogeneity of influencing factors in each dimension. Conclusions:Elderly patients with Parkinson's disease have a high rate of impaired intrinsic capacity, with the motor dimension being the most severely impaired. Healthcare professionals should pay attention to the assessment of the intrinsic capacity of elderly patients with Parkinson's disease, and customize interventions according to the influencing factors to promote the functioning of elderly patients so as to reduce the burden of care on families and society.

Objective:To explore the relationship between suggestion presentation, cognitive load, and adherence to nursing interventions for delirium.Methods:A prospective randomized controlled trial was conducted to recruit 47 nurses from 4 ICU units in Xuanwu Hospital, Capital Medical University from October 2021 to January 2022. They were divided into an intelligent group with 24 participants (using the intelligent nursing system for ICU delirium) and a non-intelligent group with 23 participants (using the paper-version implementation plan of delirium) by the random number table method. The cognitive load levels and adherence to nursing interventions were measured on day 7 of the study. AMOS 28.0 software was used to analyze the relationship between suggestion presentation, cognitive load, and adherence. The mediation effect was tested using the Bootstrap method.Results:In the intelligent group, there were 5 male and 19 female nurses, aged (33.33 ± 5.57) years. In the non-intelligent group, there were 1 male and 22 female nurses, aged (32.65 ± 3.46) years. The scores of extraneous cognitive load, germane cognitive load, and adherence to nursing intervention in the intelligent group were (6.42 ± 1.72), (7.15 ± 1.71) and (0.71 ± 0.05)%, respectively, compared with (7.78 ± 2.08), (6.07 ± 1.48) and (0.58 ± 0.08)% in the non-intelligent group. The differences were statistically significant ( t=6.06, 5.35, 41.47, all P<0.05). The Bootstrap method showed that both extraneous cognitive load (effect size=0.043, 95% CI 0.024 to 0.090, P<0.05) and germane cognitive load (effect size=0.026, 95% CI 0.017 to 0.082, P<0.05) played a partial mediating effect between suggestion presentation and adherence to nursing intervention, the total mediating effect accounted for 17.29%. Conclusions:Using the intelligent system to change the presentation of delirium nursing interventions can reduce the extraneous cognitive load and increase the germane cognitive load of ICU nurses, and then improve the adherence of nurses to implement delirium nursing interventions. Our study provides a clinical practice basis for improving the quality of clinical nursing.

Objective:To explore the current status and influencing factors of intrinsic capacity in elderly patients with Parkinson's disease.Methods:Convenience sampling was used to select 306 elderly patients with Parkinson's disease who attended Xuanwu Hospital of Capital Medical University from March to September 2024 for the study. Influencing factors were screened based on the health ecology model. Elderly patients with Parkinson's disease were surveyed using the General Information Questionnaire, Connor-Davidson Resilience Scale, Family APGAR Scale, Social Support Rating Scale, and Intrinsic Capacity Assessment Tool. Multiple linear regression was used to analyze the factors influencing the total score and the scores of each dimension of intrinsic capacity in elderly patients with Parkinson's disease.Results:A total of 306 questionnaires were distributed and 301 valid questionnaires were recovered, with a valid recovery rate of 98.37% (301/306). The total intrinsic capacity score of 301 elderly patients with Parkinson's disease was (67.21±11.47), of which 297 elderly patients with Parkinson's disease had impaired intrinsic capacity, and the rate of impaired intrinsic capacity was 98.7% (297/301). The dimensions in descending order of impairment were motor [89.7% (270/301) ], mental [76.1% (229/301) ], sensory [70.4% (212/301) ], vitality [38.2% (115/301) ], and cognitive [25.6% (77/301) ]. Multiple linear regression analysis showed that age, Hoehn-Yahr staging, levodopa equivalent dosage, activity of daily living, history of falls, regular exercise, psychological resilience, social support, and monthly income were the factors influencing the total intrinsic capacity score of elderly patients with Parkinson's disease ( P<0.05) and heterogeneity of influencing factors in each dimension. Conclusions:Elderly patients with Parkinson's disease have a high rate of impaired intrinsic capacity, with the motor dimension being the most severely impaired. Healthcare professionals should pay attention to the assessment of the intrinsic capacity of elderly patients with Parkinson's disease, and customize interventions according to the influencing factors to promote the functioning of elderly patients so as to reduce the burden of care on families and society.

Objective A Nomogram model of cognitive frailty was constructed and validated in hospitalized older adults,providing a reference for early screening,intervention and personalized management of cognitive frailty.Methods A convenience sampling approach was employed to recruit 322 elderly inpatients from a tertiary hospital in Beijing between October 2024 and February 2025 as study participants,and data were collected using the General Information Questionnaire,the Short Form-Mini-Nutritional Assessment,the Asens Insomnia Scale,the Activity of Daily Living Rating,the Self-Rating Anxiety Scale,the Geriatric Depression Scale-15,the Social Support Rating Scale,the Frailty Phenotype scale,the Subjective Cognitive Decline Questionnaire-9,the Mini-Mental State Examination,and the Clinical Dementia Rating.Lasso-Logistic regression was used to screen the variables,R software was used to draw the nomogram model;Bootstrap method was used for internal validation.Results Lasso-Logistic regression screened 8 predictors of age,depression,anxiety,support utilization,nutritional status,literacy,physical activity,and chronic pain,with an area under the subject operating characteristic curve of 0.830(95％CI:0.787-0.873),a sensitivity of 0.764,a specificity of 0.730,an accuracy of 0.748,and a calibrated curve,Brier score,and Hosmer-Lemeshow test(P=0.774)all showed that the model fit was good.Conclusion The Lasso-Logistic regression-based nomogram model of cognitive frailty in hospitalized older adults has good predictive performance and clinical utility,and can be used as a reference for early identification and intervention of cognitive decline in hospitalized older adults.

With the changing pattern of disease burden in China and the deepening and acceleration of aging society, healthy aging has become a national strategy. As one of the important roles of the care system, under the opportunity of the action framework for healthy aging, nursing discipline in China has made active exploration in key areas and has achieved research and practice results with Chinese characteristics, including ageism, intrinsic capacity, community development and long-term care system construction. Nursing has demonstrated disciplinary reserves and value in the development of the elderly care industry and the construction of the elderly care service system.

Objective:To explore the current status of intrinsic capacity in elderly patients with hospitalization-associated disability (HAD) and explore its influencing factors.Methods:From November 2023 to January 2024, convenience sampling was used to select 203 elderly patients with HAD at Xuanwu Hospital of Capital Medical University as the study subjects. A survey was conducted on elderly patients using the General Information Questionnaire, Fried Frailty Phenotype, Barthel Index, Social Support Rating Scale, and Intrinsic Capacity Assessment Tool. Binomial Logistic regression was used to analyze the influencing factors of intrinsic capacity in elderly patients with HAD.Results:A total of 203 questionnaires were distributed, and 199 valid questionnaires were collected, with a valid response rate of 98.03% (199/203). The total score of intrinsic capacity in 199 elderly patients with HAD was 5.00 (4.00, 6.00), with scores for cognitive dimension, psychological dimension, motor dimension, vitality dimension, and sensory dimension being 1.00 (1.00, 2.00), 2.00 (1.00, 2.00), 0 (0, 1.00), 1.00 (1.00, 1.00) and 1.00 (1.00, 1.00), respectively. The binomial Logistic regression showed that department of medicine and surgery, self-rating health status, social support, serum albumin, and Barthel Index were the influencing factors of intrinsic capacity in elderly patients with HAD ( P<0.05) . Conclusions:The intrinsic capacity of elderly patients with HAD is at medium to low level, with the most severe impairment in the motor dimension. Medical and nursing staff should develop personalized rehabilitation measures for elderly HAD patients based on the influencing factors of their intrinsic capacity, enhance their intrinsic capacity, and reduce the burden of care on families and society.

Physical resilience is closely related to the health and function of the elderly. This paper reviews the assessment methods of physical resilience in the elderly, focusing on the application of stress test, Physical Resilience Instrument for Older Adults (PRIFOR), physical resilience trajectory, difference in expected recovery and frailties mismatch in the assessment of physical resilience, so as to provide reference for promoting healthy aging from the perspective of physical resilience.

Objective:To investigate the status and influencing factors of different types of cognitive frailty in aged inpatients with hypertension.Methods:Totally 300 aged patients with hypertension admitted to the Cardiology, Geriatrics, and Endocrinology Departments of Xuanwu Hospital, Capital Medical University, from April to October 2022 were selected by convenience sampling. Data were collected using a general information questionnaire, the Fried Frailty Phenotype (FP), the Mini-Mental State Examination (MMSE), the 9-item Subjective Cognitive Decline Questionnaire-9 (SCD-Q9), the Morisky Medication Adherence Scale (MMAS), the Pittsburgh Sleep Quality Index (PSQI), the Hospital Anxiety and Depression Scale (HADS), the Social Support Rating Scale (SSRS), and the Mini Nutritional Assessment (MNA) .Results:A total of 300 questionnaires were distributed and returned, yielding a 100.00% response rate. Among the 300 aged hypertensive patients, 74 were diagnosed with reversible cognitive frailty (RCF) and 98 with potentially reversible cognitive frailty (PRCF). Logistic vegression analysis showed that, factors influencing RCF included daily exercise habits and the use of thiazide diuretics ( P<0.05) ; factors influencing PRCF included age, pre-retirement occupation, daily exercise habits, sleep quality, Barthel Index score, and serum albumin levels ( P<0.05) . Conclusions:The status of both RCF and PRCF is relatively high among aged inpatients with hypertension. The influencing factors for different types of cognitive frailty vary. Targeted interventions based on both common and specific influencing factors should be developed to reverse or slow the progression of cognitive frailty in aged hypertensive patients.