Evidence map›Paper›PMID 31446404›Full record

ArticleBMJ open2019

Prevalence and factors associated with fatigue in the Lausanne middle-aged population: a population-based, cross-sectional survey.

Coralie Galland-Decker, Pedro Marques-Vidal, Peter Vollenweider

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07768033 (THE EFFECT OF CHAIR-ASSISTED YOGA PRACTICE ON SLEEP QUALITY AND PAIN LEVELS IN ELDERLY INDIVIDUALS LIVING IN NURSING HOMES), which is not on this map. Cited by 50 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 5 pooled it
8.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07768033 nacompletednot on this mapstarted 2026, after this paper: background citation

The effect of chair-assisted yoga practice on sleep quality and pain levels in elderly individuals living in nursing homes

TypeinterventionalSponsorRüveyda BerkRan2026 to 2026Enrolled36ConditionsSleep Quality, PainArmsChair-Supported Yoga
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 5 syntheses or guidelines pooled it, 125 citations in OpenAlex.

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  18. [Fatigue in the general population: results of the "German Health Update 2023" study].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
    Article
  19. The Impact of COVID-19 on Fatigue in Multiple Sclerosis.International journal of MS care · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Coralie Galland-DeckerDepartment of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0001-8897-8473
Pedro Marques-VidalDepartment of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland pedro-manuel.marques-vidal@chuv.ch.
Peter VollenweiderDepartment of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
University of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the prevalence and factors associated with fatigue in the general population.

designPopulation-based, cross-sectional survey performed between May 2014 and April 2017.

settingGeneral population of the city of Lausanne, Switzerland.

participants2848 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.

resultsThe 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.

conclusionIn 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.

Indexed as

AgedAged, 80 and overCross-Sectional StudiesFatigueFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsSwitzerlandepidemiologyfatigueFatigue severity scaleprevalence

Identifiers

PMID31446404
PMCPMC6720133
OpenAlexW2969441952

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.