Evidence map›Paper›PMID 38024479›Full record

ArticleEClinicalMedicine2023

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 and 2 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Xingyuan ZhangState Key Laboratory of New Drug Discovery and Development for Major Diseases, Gannan Medical University, Ganzhou, China.
Ye-Mao LiuState Key Laboratory of New Drug Discovery and Development for Major Diseases, Gannan Medical University, Ganzhou, China.
Fang LeiMedical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xuewei HuangDepartment of Cardiology, The Third Xiangya Hospital of Central South University, Changsha, China.
Weifang LiuDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Tao SunDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Lijin LinDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Peng ZhangSchool of Basic Medical Sciences, Wuhan University, Wuhan, China.
Jingjing CaiDepartment of Cardiology, The Third Xiangya Hospital of Central South University, Changsha, China.
Xiao-Jing ZhangState Key Laboratory of New Drug Discovery and Development for Major Diseases, Gannan Medical University, Ganzhou, China.
Zhouyi WangDepartment of Rehabilitation Medicine, Huanggang Central Hospital of Yangtze University, Huanggang, China.
Hongliang LiState Key Laboratory of New Drug Discovery and Development for Major Diseases, Gannan Medical University, Ganzhou, China.
Wuhan University · CNCentral South University · CNYangtze University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AccelerometerChronic kidney diseasePhysical activityQuestionnaire

Identifiers

PMID38024479
PMCPMC10679485
OpenAlexW4388826416

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.