Evidence map›Paper›PMID 38952392›Full record

ArticleFrontiers in endocrinology2024

Associations of accelerometer-measured physical activity and sedentary time with renal function and chronic kidney disease: a national population-based study.

Xiangying Suo, Yanhua Liu, Adwoa Nyantakyiwaa Amoah, Yacong Bo, Quanjun Lyu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

  1. Observational
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Xiangying SuoDepartment of Epidemiology and Health Statistics, School of Public Health of Zhengzhou University, Zhengzhou, China.
Yanhua LiuDepartment of Nutrition, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Adwoa Nyantakyiwaa AmoahDepartment of Nutrition and Food Hygiene, School of Public Health of Zhengzhou University, Zhengzhou, China.
Yacong BoDepartment of Nutrition and Food Hygiene, School of Public Health of Zhengzhou University, Zhengzhou, China.
Quanjun LyuDepartment of Nutrition and Food Hygiene, School of Public Health of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There is limited information about the relationship between physical activity (PA) and sedentary behaviors in chronic kidney disease (CKD). Therefore, this study aims to explore the associations of accelerometer-measured PA and sedentary behaviors with CKD. Methods: A cross-sectional study was conducted using data from the National Health and Nutrition Examination Survey in the 2003-2004 and 2005-2006 survey cycles. A uniaxial accelerometer measured physical activity (PA) and sedentary time (ST). The associations of PA and ST with estimated glomerular filtration rate (eGFR) and odds of CKD adopted the generalized linear regression, multivariable logistic regression, and isotemporal substitution models. Results: A total of 5,990 adults with 605 CKD patients were included in this study. Compared with the individuals in the first quartile group, participants in the fourth quartile of low-intensity physical activity (LIPA), moderate to vigorous physical activity (MVPA), and ST were associated with 52% (35%, 65%) and 42% (14%, 62%) lower odds of CKD and 64% (17%, 131%) higher odds of CKD, respectively. Substituting 30 min/day of ST with equivalent LIPA/MVPA contributed to risk reduction in CKD. Discussion: The findings suggest that increased LIPA and MVPA and reduced ST were associated with a lower risk of CKD and that replacing ST with LIPA may decrease the risk of CKD.

Indexed as

AccelerometryExerciseGlomerular Filtration RateNutrition SurveysRenal Insufficiency, ChronicSedentary BehaviorAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle Agedaccelerometerschronic kidney diseaseestimated glomerular filtration rateisotemporal substitution modelphysical activitysedentary behavior

Identifiers

PMID38952392
PMCPMC11215116

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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.