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Prevalence and factors associated with fatigue in the Lausanne middle-aged population: a population-based, cross-sectional survey
OBJECTIVE: To assess the prevalence and factors associated with fatigue in the general population. DESIGN: Population-based, cross-sectional survey performed between May 2014 and April 2017. SETTING: General population of the city of Lausanne, Switzerland. PARTICIPANTS: 2848 participants (53.2% wome...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720133/ https://www.ncbi.nlm.nih.gov/pubmed/31446404 http://dx.doi.org/10.1136/bmjopen-2018-027070 |
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author | Galland-Decker, Coralie Marques-Vidal, Pedro Vollenweider, Peter |
author_facet | Galland-Decker, Coralie Marques-Vidal, Pedro Vollenweider, Peter |
author_sort | Galland-Decker, Coralie |
collection | PubMed |
description | OBJECTIVE: To assess the prevalence and factors associated with fatigue in the general population. DESIGN: Population-based, cross-sectional survey performed between May 2014 and April 2017. SETTING: General population of the city of Lausanne, Switzerland. PARTICIPANTS: 2848 participants (53.2% women, age range 45–86 years). PRIMARY OUTCOME MEASURE: Prevalence of fatigue the previous week, defined as a score of ≥4 using the Fatigue Severity Scale. RESULTS: The prevalence of fatigue was 21.9% (95% CI 20.4% to 23.4%) in the total sample. On bivariate analysis, participants with fatigue were younger, had a higher body mass index, a lower handgrip strength and lower ferritin levels. Participants with fatigue were more frequently women, had a lower educational level, presented more frequently with clinical insomnia, diabetes, anaemia, depression and low thyroid stimulating hormone (TSH) values, had a higher consumption of antihistamines, antidepressants and hypnotics, and rated more frequently their health as bad or very bad. Multivariable analysis showed that obesity (OR 1.40 (95% CI 1.03 to 1.91)), insomnia categories (p value for trend <0.001), depression (OR 3.26 (95% CI 2.38 to 4.46)), anaemia (OR 1.70 (95% CI 1.00 to 2.89)) and low self-rated health status (p value for trend <0.001) were positively associated with fatigue, while older age (p value for trend 0.002) was negatively associated with fatigue. Conversely, no association was found for diabetes, TSH levels, antihistamines or hypnotics. CONCLUSION: In a population-based sample aged 45–86, fatigue was present in one out of five subjects. Regarding clinical factors, sleep disturbances such as insomnia and sleep apnoea should be assessed first, followed by depression. Regarding biological factors, anaemia should be ruled out, while screening for hypothyroidism is not recommended as a first step. Sleep complaints and fatigue in older subjects are not due to ageing and should prompt identification of the underlying cause. |
format | Online Article Text |
id | pubmed-6720133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-67201332019-09-17 Prevalence and factors associated with fatigue in the Lausanne middle-aged population: a population-based, cross-sectional survey Galland-Decker, Coralie Marques-Vidal, Pedro Vollenweider, Peter BMJ Open Epidemiology OBJECTIVE: To assess the prevalence and factors associated with fatigue in the general population. DESIGN: Population-based, cross-sectional survey performed between May 2014 and April 2017. SETTING: General population of the city of Lausanne, Switzerland. PARTICIPANTS: 2848 participants (53.2% women, age range 45–86 years). PRIMARY OUTCOME MEASURE: Prevalence of fatigue the previous week, defined as a score of ≥4 using the Fatigue Severity Scale. RESULTS: The prevalence of fatigue was 21.9% (95% CI 20.4% to 23.4%) in the total sample. On bivariate analysis, participants with fatigue were younger, had a higher body mass index, a lower handgrip strength and lower ferritin levels. Participants with fatigue were more frequently women, had a lower educational level, presented more frequently with clinical insomnia, diabetes, anaemia, depression and low thyroid stimulating hormone (TSH) values, had a higher consumption of antihistamines, antidepressants and hypnotics, and rated more frequently their health as bad or very bad. Multivariable analysis showed that obesity (OR 1.40 (95% CI 1.03 to 1.91)), insomnia categories (p value for trend <0.001), depression (OR 3.26 (95% CI 2.38 to 4.46)), anaemia (OR 1.70 (95% CI 1.00 to 2.89)) and low self-rated health status (p value for trend <0.001) were positively associated with fatigue, while older age (p value for trend 0.002) was negatively associated with fatigue. Conversely, no association was found for diabetes, TSH levels, antihistamines or hypnotics. CONCLUSION: In a population-based sample aged 45–86, fatigue was present in one out of five subjects. Regarding clinical factors, sleep disturbances such as insomnia and sleep apnoea should be assessed first, followed by depression. Regarding biological factors, anaemia should be ruled out, while screening for hypothyroidism is not recommended as a first step. Sleep complaints and fatigue in older subjects are not due to ageing and should prompt identification of the underlying cause. BMJ Publishing Group 2019-08-24 /pmc/articles/PMC6720133/ /pubmed/31446404 http://dx.doi.org/10.1136/bmjopen-2018-027070 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Epidemiology Galland-Decker, Coralie Marques-Vidal, Pedro Vollenweider, Peter Prevalence and factors associated with fatigue in the Lausanne middle-aged population: a population-based, cross-sectional survey |
title | Prevalence and factors associated with fatigue in the Lausanne middle-aged population: a population-based, cross-sectional survey |
title_full | Prevalence and factors associated with fatigue in the Lausanne middle-aged population: a population-based, cross-sectional survey |
title_fullStr | Prevalence and factors associated with fatigue in the Lausanne middle-aged population: a population-based, cross-sectional survey |
title_full_unstemmed | Prevalence and factors associated with fatigue in the Lausanne middle-aged population: a population-based, cross-sectional survey |
title_short | Prevalence and factors associated with fatigue in the Lausanne middle-aged population: a population-based, cross-sectional survey |
title_sort | prevalence and factors associated with fatigue in the lausanne middle-aged population: a population-based, cross-sectional survey |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720133/ https://www.ncbi.nlm.nih.gov/pubmed/31446404 http://dx.doi.org/10.1136/bmjopen-2018-027070 |
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