Evidence map›Paper›PMID 40188020›Full record

ArticleBMC nephrology2025

Physical activity and sedentary behavior in peritoneal dialysis patients: a comparative analysis of ActiGraph GT3X data collected via wrist and waist with placement-specific cut-points.

Mingzi Chu, Chun Hu, Lin Zhu, Jiajia Lyu, Feng Wang, Xingjuan Tao

Abstract readComparative Study
In one paragraph

Article in BMC nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Mingzi ChuDepartment of Nursing, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chun HuDepartment of Nephrology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lin ZhuDepartment of Nursing, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiajia LyuDepartment of Nursing, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Feng WangDepartment of Nursing, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xingjuan TaoShanghai Jiao Tong University School of Nursing, Shanghai, China. tao.xingjuan@shsmu.edu.cn.ORCID 0000-0002-7954-1760

Funding

Hospital management research project of Shanghai Ninth People's Hospital YGA202405Nursing Program of Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine JYHL2022MS01Nursing research Program of Shanghai Jiao Tong University School of Medicine Jyhz2201Nursing research Program of Shanghai Jiao Tong University School of Medicine Jyhz2303
6 · The paper itself

Abstract

backgroundThe increasing adoption of accelerometers for the assessment of sedentary behaviour and physical activity among dialysis patients demands robust validation of these monitoring devices. This study aims to determine the comparability of wrist- versus waist-worn ActiGraph GT3X accelerometers, using placement-specific cut-points for peritoneal dialysis patients, to refine research and clinical practices.

methodsThis was a cross-sectional study. Thirty-one participants wore two ActiGraph GT3X accelerometers, positioned on the right waist and nondominant wrist, and monitored over a seven-day period in a naturalistic setting. Data were processed with ActiLife v6.13.3 and analysed using intraclass correlation coefficients (ICC), limits of agreement, and pairwise 90% equivalence test within a ± 10% threshold.

resultsThe sedentary time measurements from both wrist- and waist-worn GT3X accelerometers were deemed equivalent, with high ICC values (0.98, 95% confidence intervals (CI) 0.97-0.99) and a ratio of 1.0 within the 90% CI of 0.9 to 1.0. Although agreement between accelerometers was good for classification of light-intensity activity (ICC = 0.76), the waist-worn device's estimates exceeded the equivalence criteria compared to the wrist-worn device (ratio 1.4; 90% CI 1.2-1.6). Conversely, the waist-worn device reported a significantly lower duration of moderate-to-vigorous physical activity (MVPA) than the wrist-worn device (Ln transformed ratio 0.3; 90% CI 0.1-0.4).

conclusionsThe use of placement-specific cut-points did not ensure equivalence in physical activity parameter estimates between wrist- and waist-worn ActiGraph GT3X devices. The findings underscore the necessity for consistent accelerometer placement for reliable monitoring of physical activity in peritoneal dialysis patients. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

AccelerometryActigraphyExercisePeritoneal DialysisSedentary BehaviorAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedWristAccelerometerPeritoneal dialysisPhysical activitySedentary

Identifiers

PMID40188020
PMCPMC11972474

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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.