Evidence map›Paper›PMID 33392883›Full record

ArticleInternational urology and nephrology2021

Physical performance and health-related quality of life among older adults on peritoneal dialysis: a cross-sectional study.

Xingjuan Tao, Haifen Zhang, Jiaying Huang, Aiping Gu, Yan Jin, Yanna He, Na Li, Yan Yang

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Article in International urology and nephrology, 2021. 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

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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

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xingjuan TaoShanghai Jiao Tong University, School of Nursing, Shanghai, China.ORCID http://orcid.org/0000-0002-7954-1760
Haifen ZhangDepartment of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jiaying HuangDepartment of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Aiping GuDepartment of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yan JinDepartment of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yanna HeDepartment of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Na LiDepartment of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yan YangNursing Department, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. renji_yy@126.com.

Funding

National Natural Science Foundation of China 71704105
6 · The paper itself

Abstract

purposeIdentifying performance-based tests that meaningful for patients may facilitate the implementation of rehabilitation programs. The primary aim of this study was to determine the independent associations between different performance-based tests and health-related quality of life (HRQoL) among elderly peritoneal dialysis (PD) patients.

methodsThis cross-sectional study was conducted in China. Patients on PD who were 60 years of age or above were included. HRQoL was assessed using the Medical Outcomes Study Short Form 36. Physical function was determined by handgrip strength, timed up and go (TUG) test, 5-repetition sit-to-stand test, and comfortable gait speed. Depressive symptoms were measured using the self-reported Geriatric Depression Scale (GDS-15). Multiple linear regression analyses were performed to examine the factors influencing HRQoL.

resultsIn total, 115 participants with a mean age of 69.7 were included (46 women and 69 men). TUG (β =- 0.460, p < 0.001), prealbumin (β = 0.223, p = 0.014), and education level (β = 0.183, p = 0.042) were associated with physical health. GDS score (β = - 0.475, p < 0.001), serum albumin level (β = 0.264, p = 0.003), and sex (β = 0.217, p = 0.012), were associated with mental HRQoL.

conclusionTUG could be a valuable test for use in clinical practice and research aiming at facilitating tailed exercise programs, as it was associated with self-perceived physical HRQoL and could be meaningful to elderly PD patients. Depressive symptoms and nutrition were another two important rehabilitation areas for optimizing the overall HRQoL of older adults on PD.

Indexed as

Peritoneal DialysisPhysical Functional PerformanceQuality of LifeAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedHealth-related quality of lifeOlder adultsPeritoneal dialysisPhysical function

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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.