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Daily Step Counts in Patients With Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Observational Studies

BACKGROUND: Physical inactivity is an essential factor in the prognosis of patients with chronic kidney disease (CKD). Daily step count is a straightforward measure to assess physical activity levels. Understanding the step counts among different CKD stages is essential to change sedentary behavior....

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Autores principales: Zhang, Fan, Ren, Yibo, Wang, Hui, Bai, Yan, Huang, Liuyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891233/
https://www.ncbi.nlm.nih.gov/pubmed/35252275
http://dx.doi.org/10.3389/fmed.2022.842423
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author Zhang, Fan
Ren, Yibo
Wang, Hui
Bai, Yan
Huang, Liuyan
author_facet Zhang, Fan
Ren, Yibo
Wang, Hui
Bai, Yan
Huang, Liuyan
author_sort Zhang, Fan
collection PubMed
description BACKGROUND: Physical inactivity is an essential factor in the prognosis of patients with chronic kidney disease (CKD). Daily step count is a straightforward measure to assess physical activity levels. Understanding the step counts among different CKD stages is essential to change sedentary behavior. OBJECTIVES: This systematic review and meta-analysis aimed to investigate the daily step counts in patients with CKD at a different stage. DESIGN: A systematic review and meta-analysis. DATA SOURCES: The literature search was performed in PubMed, Embase, and Web of Science from inception to November 3rd, 2021. REVIEW METHODS: Observational studies (cross-sectional, case-control, or cohort studies) reported specific values of step counts in CKD patients by the wearable device were included. A random-effects model was used to pool the data. Subgroup analysis explored differences in outcomes by stage of CKD. Heterogeneity between studies was assessed using the χ(2) test of Cochrane's Q statistic. A contour-enhanced funnel plot was conducted to investigate publication bias. Univariate and multivariate meta-regression was conducted to examine possible sources of heterogeneity. RESULTS: Twenty-eight articles were identified and used for quantitative analysis. The result showed that the daily step count in patients with CKD was 4642.47 (95% CI: 4274.18–5010.76), and significantly lower than the healthy population. Subgroup analysis revealed that the step counts decreased before dialysis, dropped to a freezing point at the hemodialysis phase, and increased after kidney transplantation. Meta-regression analysis showed that daily step counts were relatively higher in the Americas or younger than 60 or kidney transplant recipients. CONCLUSION: The status of daily step counts in patients with CKD decreases with CKD severity and increases after kidney transplantation. Although studies have begun to focus on strategies to improve step counts in patients with CKD, future studies should focus more on step counts in pre-dialysis patients and changing their physically inactive lifestyle early to alleviate deteriorating renal function. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=291551, identifier: CRD42021291551.
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spelling pubmed-88912332022-03-04 Daily Step Counts in Patients With Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Observational Studies Zhang, Fan Ren, Yibo Wang, Hui Bai, Yan Huang, Liuyan Front Med (Lausanne) Medicine BACKGROUND: Physical inactivity is an essential factor in the prognosis of patients with chronic kidney disease (CKD). Daily step count is a straightforward measure to assess physical activity levels. Understanding the step counts among different CKD stages is essential to change sedentary behavior. OBJECTIVES: This systematic review and meta-analysis aimed to investigate the daily step counts in patients with CKD at a different stage. DESIGN: A systematic review and meta-analysis. DATA SOURCES: The literature search was performed in PubMed, Embase, and Web of Science from inception to November 3rd, 2021. REVIEW METHODS: Observational studies (cross-sectional, case-control, or cohort studies) reported specific values of step counts in CKD patients by the wearable device were included. A random-effects model was used to pool the data. Subgroup analysis explored differences in outcomes by stage of CKD. Heterogeneity between studies was assessed using the χ(2) test of Cochrane's Q statistic. A contour-enhanced funnel plot was conducted to investigate publication bias. Univariate and multivariate meta-regression was conducted to examine possible sources of heterogeneity. RESULTS: Twenty-eight articles were identified and used for quantitative analysis. The result showed that the daily step count in patients with CKD was 4642.47 (95% CI: 4274.18–5010.76), and significantly lower than the healthy population. Subgroup analysis revealed that the step counts decreased before dialysis, dropped to a freezing point at the hemodialysis phase, and increased after kidney transplantation. Meta-regression analysis showed that daily step counts were relatively higher in the Americas or younger than 60 or kidney transplant recipients. CONCLUSION: The status of daily step counts in patients with CKD decreases with CKD severity and increases after kidney transplantation. Although studies have begun to focus on strategies to improve step counts in patients with CKD, future studies should focus more on step counts in pre-dialysis patients and changing their physically inactive lifestyle early to alleviate deteriorating renal function. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=291551, identifier: CRD42021291551. Frontiers Media S.A. 2022-02-17 /pmc/articles/PMC8891233/ /pubmed/35252275 http://dx.doi.org/10.3389/fmed.2022.842423 Text en Copyright © 2022 Zhang, Ren, Wang, Bai and Huang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Zhang, Fan
Ren, Yibo
Wang, Hui
Bai, Yan
Huang, Liuyan
Daily Step Counts in Patients With Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Observational Studies
title Daily Step Counts in Patients With Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Observational Studies
title_full Daily Step Counts in Patients With Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Observational Studies
title_fullStr Daily Step Counts in Patients With Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Observational Studies
title_full_unstemmed Daily Step Counts in Patients With Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Observational Studies
title_short Daily Step Counts in Patients With Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Observational Studies
title_sort daily step counts in patients with chronic kidney disease: a systematic review and meta-analysis of observational studies
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891233/
https://www.ncbi.nlm.nih.gov/pubmed/35252275
http://dx.doi.org/10.3389/fmed.2022.842423
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