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Predicting Fatigue in Patients Using Home Parenteral Nutrition: A Longitudinal Study

BACKGROUND: Home parenteral nutrition (HPN) is a life-saving therapy for patients with diseases that preclude adequate oral or enteral food intake. HPN has a large impact on daily life. Many patients suffer from fatigue and depression, and they experience limits in social activities. This all contri...

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Autores principales: Huisman-de Waal, Getty, Bazelmans, Ellen, van Achterberg, Theo, Jansen, Jan, Sauerwein, Hans, Wanten, Geert, Schoonhoven, Lisette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3145911/
https://www.ncbi.nlm.nih.gov/pubmed/20862618
http://dx.doi.org/10.1007/s12529-010-9116-7
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author Huisman-de Waal, Getty
Bazelmans, Ellen
van Achterberg, Theo
Jansen, Jan
Sauerwein, Hans
Wanten, Geert
Schoonhoven, Lisette
author_facet Huisman-de Waal, Getty
Bazelmans, Ellen
van Achterberg, Theo
Jansen, Jan
Sauerwein, Hans
Wanten, Geert
Schoonhoven, Lisette
author_sort Huisman-de Waal, Getty
collection PubMed
description BACKGROUND: Home parenteral nutrition (HPN) is a life-saving therapy for patients with diseases that preclude adequate oral or enteral food intake. HPN has a large impact on daily life. Many patients suffer from fatigue and depression, and they experience limits in social activities. This all contributes to a lower quality of life. PURPOSE: Fatigue is the most frequently mentioned problem in Dutch HPN patients. Therefore, we studied the prevalence, course and predictors of fatigue in these patients. METHODS: Patients completed questionnaires at baseline and follow-up (12 months later). Measurements included fatigue, depression, functional impairment, social support, self-efficacy, coping, anxiety and acceptance. Laboratory measures, including total bilirubin, creatinine, albumin and haemoglobin levels, were obtained from the medical records. Descriptive statistics, correlations and linear regression analysis were performed. RESULTS: The response rate was 71% (n = 75). Sixty-five per cent of the patients were severely fatigued (n = 49). Eighty-nine per cent experienced persistent fatigue. Baseline fatigue predicted 57% of the variance of fatigue at follow-up, and avoidance was responsible for 3% of the variance. No significant correlations between fatigue and laboratory measures were found. A cross-sectional analysis showed that 46% of the variance of fatigue was explained by functional impairment, self-efficacy and depression. CONCLUSION: Severe fatigue is a persistent problem for HPN patients. Baseline fatigue was the strongest predictor of fatigue at follow-up. Functional impairment, self-efficacy and depression are strongly related to fatigue. Early recognition and treatment of fatigue are important.
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spelling pubmed-31459112011-09-21 Predicting Fatigue in Patients Using Home Parenteral Nutrition: A Longitudinal Study Huisman-de Waal, Getty Bazelmans, Ellen van Achterberg, Theo Jansen, Jan Sauerwein, Hans Wanten, Geert Schoonhoven, Lisette Int J Behav Med Article BACKGROUND: Home parenteral nutrition (HPN) is a life-saving therapy for patients with diseases that preclude adequate oral or enteral food intake. HPN has a large impact on daily life. Many patients suffer from fatigue and depression, and they experience limits in social activities. This all contributes to a lower quality of life. PURPOSE: Fatigue is the most frequently mentioned problem in Dutch HPN patients. Therefore, we studied the prevalence, course and predictors of fatigue in these patients. METHODS: Patients completed questionnaires at baseline and follow-up (12 months later). Measurements included fatigue, depression, functional impairment, social support, self-efficacy, coping, anxiety and acceptance. Laboratory measures, including total bilirubin, creatinine, albumin and haemoglobin levels, were obtained from the medical records. Descriptive statistics, correlations and linear regression analysis were performed. RESULTS: The response rate was 71% (n = 75). Sixty-five per cent of the patients were severely fatigued (n = 49). Eighty-nine per cent experienced persistent fatigue. Baseline fatigue predicted 57% of the variance of fatigue at follow-up, and avoidance was responsible for 3% of the variance. No significant correlations between fatigue and laboratory measures were found. A cross-sectional analysis showed that 46% of the variance of fatigue was explained by functional impairment, self-efficacy and depression. CONCLUSION: Severe fatigue is a persistent problem for HPN patients. Baseline fatigue was the strongest predictor of fatigue at follow-up. Functional impairment, self-efficacy and depression are strongly related to fatigue. Early recognition and treatment of fatigue are important. Springer US 2010-09-24 2011 /pmc/articles/PMC3145911/ /pubmed/20862618 http://dx.doi.org/10.1007/s12529-010-9116-7 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Article
Huisman-de Waal, Getty
Bazelmans, Ellen
van Achterberg, Theo
Jansen, Jan
Sauerwein, Hans
Wanten, Geert
Schoonhoven, Lisette
Predicting Fatigue in Patients Using Home Parenteral Nutrition: A Longitudinal Study
title Predicting Fatigue in Patients Using Home Parenteral Nutrition: A Longitudinal Study
title_full Predicting Fatigue in Patients Using Home Parenteral Nutrition: A Longitudinal Study
title_fullStr Predicting Fatigue in Patients Using Home Parenteral Nutrition: A Longitudinal Study
title_full_unstemmed Predicting Fatigue in Patients Using Home Parenteral Nutrition: A Longitudinal Study
title_short Predicting Fatigue in Patients Using Home Parenteral Nutrition: A Longitudinal Study
title_sort predicting fatigue in patients using home parenteral nutrition: a longitudinal study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3145911/
https://www.ncbi.nlm.nih.gov/pubmed/20862618
http://dx.doi.org/10.1007/s12529-010-9116-7
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