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A single question regarding mobility in the World Health Organization quality of life questionnaire predicts 3-year mortality in patients receiving chronic hemodialysis
Low quality of life, depression and poor quality of sleep are associated with increased mortality in hemodialysis patients. It is not clear which factor has the highest predictive power and what the core element is to explain the predictability. We thus conducted a prospective cohort study that incl...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607280/ https://www.ncbi.nlm.nih.gov/pubmed/28931925 http://dx.doi.org/10.1038/s41598-017-12276-9 |
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author | Wang, Hsiu-Ho Ho, Miao-Chun Hung, Kuan-Yu Cheng, Hui-Teng |
author_facet | Wang, Hsiu-Ho Ho, Miao-Chun Hung, Kuan-Yu Cheng, Hui-Teng |
author_sort | Wang, Hsiu-Ho |
collection | PubMed |
description | Low quality of life, depression and poor quality of sleep are associated with increased mortality in hemodialysis patients. It is not clear which factor has the highest predictive power and what the core element is to explain the predictability. We thus conducted a prospective cohort study that included 151 hemodialysis adults. Three traits of interest were assessed by World Health Organization Quality of Life questionnaire, an abbreviated version (WHOQOL-BREF), Taiwanese Depression Questionnaire, and Athens Insomnia Scale, respectively. They were followed for more than 3 years and the all-cause mortality was 30.5%. The prevalence of quality of life at the lowest tertile, depression and poor quality of sleep was 19.9%, 43.0% and 74.2%, respectively. Discriminant analysis showed the standardized coefficient of each factor as 0.813, −0.289 and 0.066, indicating the highest discriminating power by quality of life to predict mortality. Question 15 “how well are you able to get around?” in the physical health domain of WHOQOL-BREF independently associated a hazard ratio of mortality 0.623 (95% confidence interval 0.423-0.918). Subjective perception of overall quality of life was more related to psycho-social-environmental factors. In conclusion, mobility is an independent and powerful predictor to long term mortality in patients on chronic hemodialysis. |
format | Online Article Text |
id | pubmed-5607280 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56072802017-09-24 A single question regarding mobility in the World Health Organization quality of life questionnaire predicts 3-year mortality in patients receiving chronic hemodialysis Wang, Hsiu-Ho Ho, Miao-Chun Hung, Kuan-Yu Cheng, Hui-Teng Sci Rep Article Low quality of life, depression and poor quality of sleep are associated with increased mortality in hemodialysis patients. It is not clear which factor has the highest predictive power and what the core element is to explain the predictability. We thus conducted a prospective cohort study that included 151 hemodialysis adults. Three traits of interest were assessed by World Health Organization Quality of Life questionnaire, an abbreviated version (WHOQOL-BREF), Taiwanese Depression Questionnaire, and Athens Insomnia Scale, respectively. They were followed for more than 3 years and the all-cause mortality was 30.5%. The prevalence of quality of life at the lowest tertile, depression and poor quality of sleep was 19.9%, 43.0% and 74.2%, respectively. Discriminant analysis showed the standardized coefficient of each factor as 0.813, −0.289 and 0.066, indicating the highest discriminating power by quality of life to predict mortality. Question 15 “how well are you able to get around?” in the physical health domain of WHOQOL-BREF independently associated a hazard ratio of mortality 0.623 (95% confidence interval 0.423-0.918). Subjective perception of overall quality of life was more related to psycho-social-environmental factors. In conclusion, mobility is an independent and powerful predictor to long term mortality in patients on chronic hemodialysis. Nature Publishing Group UK 2017-09-20 /pmc/articles/PMC5607280/ /pubmed/28931925 http://dx.doi.org/10.1038/s41598-017-12276-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wang, Hsiu-Ho Ho, Miao-Chun Hung, Kuan-Yu Cheng, Hui-Teng A single question regarding mobility in the World Health Organization quality of life questionnaire predicts 3-year mortality in patients receiving chronic hemodialysis |
title | A single question regarding mobility in the World Health Organization quality of life questionnaire predicts 3-year mortality in patients receiving chronic hemodialysis |
title_full | A single question regarding mobility in the World Health Organization quality of life questionnaire predicts 3-year mortality in patients receiving chronic hemodialysis |
title_fullStr | A single question regarding mobility in the World Health Organization quality of life questionnaire predicts 3-year mortality in patients receiving chronic hemodialysis |
title_full_unstemmed | A single question regarding mobility in the World Health Organization quality of life questionnaire predicts 3-year mortality in patients receiving chronic hemodialysis |
title_short | A single question regarding mobility in the World Health Organization quality of life questionnaire predicts 3-year mortality in patients receiving chronic hemodialysis |
title_sort | single question regarding mobility in the world health organization quality of life questionnaire predicts 3-year mortality in patients receiving chronic hemodialysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607280/ https://www.ncbi.nlm.nih.gov/pubmed/28931925 http://dx.doi.org/10.1038/s41598-017-12276-9 |
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