The Association Between Lifestyle and All-Cause Mortality in Patients Undergoing Maintenance Hemodialysis: A 3-year Prospective, Observational Study

Lu Zhang, Sumei Zhang, Xuanbing Tang School of Nursing and Rehabilitation, Xi’an Medical University, Xi’an, Shaanxi, People’s Republic of ChinaCorrespondence: Lu Zhang, School of Nursing and Rehabilitation, Xi’an Medical University, Xi’an, Shaanxi, 710021, People’s Republic of China, Tel +8613891432973, Email [email protected]: Lifestyle is one of the important factors affecting health. There are few studies that comprehensively analyze the impact of a combination of lifestyle factors on mortality in patients undergoing maintenance hemodialysis. So, to measure the association between lifestyle factors and mortality for patients undergoing maintenance hemodialysis.Patients and Methods: A prospective, observational study design was employed. Through convenience sampling, the patients who are over 18 years old and have undergone dialysis for at least 3 months, from the hemodialysis center outpatient in two hospitals of Xi’an were selected. The questionnaires of this study include sociodemographic characteristics and lifestyle-related scales, such as nutrition, sleep and self-management scales. The differences between the deceased group and the surviving group were analyzed using the t-test or Mann–Whitney tests and chi-square tests. Logistic regression analysis was applied to identify the association between lifestyle factors and mortality.Results: In this study, 286 patients who completed the questionnaire were screened. During the follow-up of this 3 years, patients who transferred to another hospital (n=31), kidney transplantation (n=6) and termination of dialysis (n=13) were excluded. Finally, 236 participants were tracked to the final outcome. Of these 236 patients, 66.95% were men. The proportion of patients under 60 years old is slightly higher than that of patients over 60 years old. More than half (64.83%) of the patients have a lower education level. And the main primary disease of ESRD was diabetic nephropathy (39.83%). Through a 3-year follow-up study, 73 patients died, accounting for 30.93%. The results showed that compared with surviving patients, deceased patients had significantly lower scores of self-management (Z=− 2.09, P=0.036) and higher scores of malnutrition-inflammation score (Z=− 2.31, P=0.021). Moreover, deceased patients had a significantly higher proportion of poor sleepers (χ2=4.38, P=0.036) and No exercise (χ2=5.16, P=0.023). However, there were no statistically significant differences in BMI, smoking history and drinking history between the two groups. In logistic analyses, age (χ2=19.63, P< 0.001, OR=0.26, 95% CI=0.14~0.47) and self-management score (χ2=3.82, P=0.051, OR=1.03, 95% CI=1.00~1.06) were major factors related to mortality.Conclusion: Self-management and age are closely related to the mortality rate of patients. And our study showed that the relationship between self-management and mortality is strongest, so doctors and nurses at dialysis centers should pay more attention to and actively improve self-management level of patients undergoing maintenance hemodialysis.Keywords: renal dialysis, life style, self-management, mortality

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SHILAP Revista de lepidopterología
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2025-03-01
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Dialysis and Renal Disease Management
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article

The Association Between Lifestyle and All-Cause Mortality in Patients Undergoing Maintenance Hemodialysis: A 3-year Prospective, Observational Study

SHILAP Revista de lepidopterología
Dialysis and Renal Disease Management
article

The Association Between Lifestyle and All-Cause Mortality in Patients Undergoing Maintenance Hemodialysis: A 3-year Prospective, Observational Study

article en

Abstract

Lu Zhang, Sumei Zhang, Xuanbing Tang School of Nursing and Rehabilitation, Xi’an Medical University, Xi’an, Shaanxi, People’s Republic of ChinaCorrespondence: Lu Zhang, School of Nursing and Rehabilitation, Xi’an Medical University, Xi’an, Shaanxi, 710021, People’s Republic of China, Tel +8613891432973, Email [email protected]: Lifestyle is one of the important factors affecting health. There are few studies that comprehensively analyze the impact of a combination of lifestyle factors on mortality in patients undergoing maintenance hemodialysis. So, to measure the association between lifestyle factors and mortality for patients undergoing maintenance hemodialysis.Patients and Methods: A prospective, observational study design was employed. Through convenience sampling, the patients who are over 18 years old and have undergone dialysis for at least 3 months, from the hemodialysis center outpatient in two hospitals of Xi’an were selected. The questionnaires of this study include sociodemographic characteristics and lifestyle-related scales, such as nutrition, sleep and self-management scales. The differences between the deceased group and the surviving group were analyzed using the t-test or Mann–Whitney tests and chi-square tests. Logistic regression analysis was applied to identify the association between lifestyle factors and mortality.Results: In this study, 286 patients who completed the questionnaire were screened. During the follow-up of this 3 years, patients who transferred to another hospital (n=31), kidney transplantation (n=6) and termination of dialysis (n=13) were excluded. Finally, 236 participants were tracked to the final outcome. Of these 236 patients, 66.95% were men. The proportion of patients under 60 years old is slightly higher than that of patients over 60 years old. More than half (64.83%) of the patients have a lower education level. And the main primary disease of ESRD was diabetic nephropathy (39.83%). Through a 3-year follow-up study, 73 patients died, accounting for 30.93%. The results showed that compared with surviving patients, deceased patients had significantly lower scores of self-management (Z=− 2.09, P=0.036) and higher scores of malnutrition-inflammation score (Z=− 2.31, P=0.021). Moreover, deceased patients had a significantly higher proportion of poor sleepers (χ2=4.38, P=0.036) and No exercise (χ2=5.16, P=0.023). However, there were no statistically significant differences in BMI, smoking history and drinking history between the two groups. In logistic analyses, age (χ2=19.63, P< 0.001, OR=0.26, 95% CI=0.14~0.47) and self-management score (χ2=3.82, P=0.051, OR=1.03, 95% CI=1.00~1.06) were major factors related to mortality.Conclusion: Self-management and age are closely related to the mortality rate of patients. And our study showed that the relationship between self-management and mortality is strongest, so doctors and nurses at dialysis centers should pay more attention to and actively improve self-management level of patients undergoing maintenance hemodialysis.Keywords: renal dialysis, life style, self-management, mortality

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Dialysis and Renal Disease Management
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