Sleep Quality and Symptom Experience in CKD

Poor sleep quality is common in chronic kidney disease (CKD). Understanding how symptoms (Sx) relate to sleep could help identify people who experience, or are at risk of experiencing, poor sleep quality. We explored the relationship between sleep quality and Sx experienced in people with living with CKD and their significant others (SO).

Authors

Institutions

Publication Details

Journal
Journal of the American Society of Nephrology
Published
2024-10-01
DOI
https://doi.org/10.1681/asn.2024p5nzmedk
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sleep Quality and Symptom Experience in CKD

Alice C. Smith, Courtney J. Lightfoot, E Ford, Roseanne E Billany et al.
Journal of the American Society of Nephrology
Sleep and related disorders
article

Sleep Quality and Symptom Experience in CKD

Alice C. Smith, Courtney J. Lightfoot, E Ford, Roseanne E Billany, Gurneet Kaur Sohansoha
article en

Abstract

Poor sleep quality is common in chronic kidney disease (CKD). Understanding how symptoms (Sx) relate to sleep could help identify people who experience, or are at risk of experiencing, poor sleep quality. We explored the relationship between sleep quality and Sx experienced in people with living with CKD and their significant others (SO).

Journal of the American Society of NephrologyVol. 35(10S)
University of Leicester (GB), Leicester College (GB), Leeds Beckett University (GB)
Openalex Percentile: Top 77%
Sleep and related disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.