Unique ID issued by UMIN | UMIN000056404 |
---|---|
Receipt number | R000064439 |
Scientific Title | Shanghai Hemodialysis Cohort Study |
Date of disclosure of the study information | 2024/12/10 |
Last modified on | 2024/12/09 16:39:19 |
Shanghai Hemodialysis Cohort Study
SHCS
Shanghai Hemodialysis Cohort Study
SHCS
Asia(except Japan) |
Open public recruiting
Medicine in general | Adult |
Others
NO
The aim of this study was to explore the correlation between physical performance and nutrition, quality of life, psychological status, cognitive status and mortality in hemodialysis patients.
Others
The aim of this study was to explore the correlation between physical fitness and nutrition, quality of life, psychological status, cognitive status and mortality in hemodialysis patients.
The aim of this study was to investigate the association between muscle mass, muscle strength as well as physical performance with all-cause mortality in hemodialysis patients.
This study was to explore the association between physical performance (such as sarcopenia) with depression, cognitive impairment, quality of life in hemodialysis patients.
Observational
18 | years-old | <= |
90 | years-old | >= |
Male and Female
Patients were eligible to participate if they were over 60 years of age, receiving maintenance hemodialysis for at least 3months, and able to provide informed consent.
Patients were excluded as following criteria: (1) inability to perform the handgrip strength test or the gait speed test; (2) unable to measure the body
composition; (3) did not complete date on the depression and nutrition assessments; (4) patients with hearing impairment, or visual impairment difficulties; (5) presented with an infection, amputated limb, pulmonary edema, or malignancy; (6) unable to communicate with the study staff or provide informed consent.
2000
1st name | Qi |
Middle name | |
Last name | Guo |
Shanghai University of Medicine and Health Sciences
China
201318
279 Zhouzhu highway Pudong New District, Shanghai.
15620467578
guoqijp@gmail.com
1st name | Xiaoyu |
Middle name | |
Last name | Chen |
Shanghai University of Medicine and Health Sciences
China
201318
279 Zhouzhu highway Pudong New District, Shanghai.
18961062323
1334427886@qq.com
Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences
Non
Self funding
Shanghai University of Medicine and Health Sciences
279 Zhouzhu highway , Pudong New District, Shanghai
15620467578
guoqijp@gmail.com
NO
Shanghai University of Medicine and Health Sciences
2024 | Year | 12 | Month | 10 | Day |
Mediating Effects of Malnutrition on the Relationship between Depressive Symptoms Clusters and Muscl
Partially published
https://link.springer.com/article/10.1007/s12603-022-1778-8
499
Our findings suggest that muscle function rather than muscle mass may contribute substantially to the development of depressive symptoms clusters in the hemodialysis via malnutrition. The malnutrition mediated stronger in the association of muscle function with somatic symptoms. These findings may help guide clinicians to better diagnose and manage depression in the context of concomitant muscle function and malnutrition.
2024 | Year | 12 | Month | 09 | Day |
Socioeconomic and health-related characteristics of patients undergoing hemodialysis stratified by depressed status were significant, such as handgrip strength, gait speed,IPAQ, malnutrition and CCI.
The final analytic sample consisted of 499 patients (men 312, women 187) after excluding 43 subjects.
No
Muscle mass and function; Nutritional Status and depressive symptoms clusters.
Open public recruiting
2020 | Year | 07 | Month | 01 | Day |
2020 | Year | 07 | Month | 01 | Day |
2020 | Year | 07 | Month | 01 | Day |
2035 | Year | 12 | Month | 31 | Day |
All participants were invited to a face-to-face interview to answer a standardized questionnaire. Baseline date of sociodemographic characteristics, health behaviors, condition of chronic diseases were considered as covariates. Demographic characteristics included age, gender, post-dialysis weight, dialysis vintage, education level. Health behaviors included smoking and drinking habits. Physical activity was assessed using the short form of the International Physical Activity Questionnaire (IPAQ). Charlson comorbidity index (CCI) was used to assess the comorbidity, which accounted for multiple comorbidities by creating a sum score according to the presence of 19 comorbid conditions. In addition, all blood samples were drawn pre-dialysis. Kt/V was used as indicator of dialysis quality and monitored in every dialysis treatment.
2024 | Year | 12 | Month | 09 | Day |
2024 | Year | 12 | Month | 09 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000064439