Association between questionnaire-based and accelerometer-based physical activity and the incidence of chronic kidney disease using data from UK Biobank: a prospective cohort study

Xingyuan Zhang; Ye-Mao Liu; Fang Lei; Xuewei Huang; Weifang Liu; Tao Sun; Lijin Lin; Peng Zhang; Jingjing Cai; Xiao-Jing Zhang; Zhouyi Wang; Hongliang Li

doi:10.1016/j.eclinm.2023.102323

Association between questionnaire-based and accelerometer-based physical activity and the incidence of chronic kidney disease using data from UK Biobank: a prospective cohort study

EClinicalMedicine. 2023 Nov 20:66:102323. doi: 10.1016/j.eclinm.2023.102323. eCollection 2023 Dec.

Authors

Xingyuan Zhang^{1

2

3}, Ye-Mao Liu^{1

2

4}, Fang Lei⁵, Xuewei Huang⁶, Weifang Liu⁷, Tao Sun⁷, Lijin Lin⁷, Peng Zhang³, Jingjing Cai⁶, Xiao-Jing Zhang^{1

2

3}, Zhouyi Wang⁸, Hongliang Li^{1

2

7}

Affiliations

¹ State Key Laboratory of New Drug Discovery and Development for Major Diseases, Gannan Medical University, Ganzhou, China.
² Gannan Innovation and Translational Medicine Research Institute, Gannan Medical University, Ganzhou, China.
³ School of Basic Medical Sciences, Wuhan University, Wuhan, China.
⁴ Department of Cardiology, Huanggang Central Hospital, Huanggang, China.
⁵ Medical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
⁶ Department of Cardiology, The Third Xiangya Hospital of Central South University, Changsha, China.
⁷ Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
⁸ Department of Rehabilitation Medicine, Huanggang Central Hospital of Yangtze University, Huanggang, China.

Abstract

Background: Prior studies on the relationship between chronic kidney disease (CKD) and physical activity (PA) mainly relied on subjective PA data and rarely considered the genetic risk. This study aims to thoroughly investigate this relationship by utilizing both accelerometer-measured and questionnaire-measured PA data.

Methods: This prospective cohort study encompasses two cohorts from the UK Biobank. The questionnaire-based cohort involves 448,444 CKD-free participants who completed an International Physical Activity Questionnaire between 2006 and 2010 and had genetic data. PA was categorized into distinct activities: leisure, housework, job-related, and transportation. The accelerometer-based cohort involves 89,296 CKD-free participants who provided a full week of accelerometer-based physical activity data between 2013 and 2015 and had genetic data. PA was classified as light-intensity, moderate-intensity, vigorous-intensity, moderate to vigorous-intensity PA (LPA, MPA, VPA, MVPA), and total PA. Incident CKD was ascertained from linked hospital inpatient and death records. Genetic risk was assessed using polygenic risk scores. Cox proportional hazard models with restricted cubic splines were used for the analysis.

Findings: In the questionnaire-based cohort, 18,184 (4.05%) participants developed CKD during 13.6 years of follow-up. Engaging in strenuous sports, other exercises, walking for pleasure, stair climbing, and heavy DIY were associated with a reduced risk of CKD. In the accelerometer-based cohort, 2297 (2.57%) participants developed CKD during 7.9 years of follow-up. Higher levels [highest quartile vs lowest quartile] of MPA (HR 0.639, 95% CI 0.554-0.737), VPA (HR 0.639, 95% CI 0.549-0.745), MVPA (HR 0.630, 95% CI 0.545-0.729), and total PA (HR 0.649, 95% CI 0.563-0.750) were associated with a lower CKD risk. There were significant interactions between MPA and genetic risk on the risk of CKD incidence (P for interaction = 0.025). A linear dose-response relationship was observed between MPA, total PA, and the risk of CKD incidence with no minimal or maximal threshold. These associations are robust in different subgroups and a series of sensitivity analyses.

Interpretation: Engaging in multiple types of PA and higher levels of total PA, MPA, VPA, and MVPA may be associated with a lower risk of developing CKD, regardless of genetic risk. This finding holds substantial implications for clinical approaches to CKD prevention and provides evidence to inform future PA guideline development.

Funding: Medical Science Advancement Program of Wuhan University, and the National Science Foundation of China.

Keywords: Accelerometer; Chronic kidney disease; Physical activity; Questionnaire.