Evidence map›Paper›PMID 40067853›Full record

ArticlePloS one2025

Respiratory rate and its associations with disease and lifestyle factors in the general population - results from the KORA-FF4 study.

Ina-Maria Rückert-Eheberg, Alexander Steger, Alexander Müller, Birgit Linkohr, Petra Barthel, Melanie Maier, Julia Allescher, Moritz F Sinner, Konstantinos D Rizas, Wolfgang Rathmann and 4 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Review
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

14 authors.

Ina-Maria Rückert-EhebergInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße, Munich-Neuherberg, Germany.ORCID https://orcid.org/0000-0001-5418-283X
Alexander StegerDepartment of Internal Medicine I, TUM School of Medicine and Health, Technical University of Munich, University Hospital, Munich, Germany.
Alexander MüllerDepartment of Internal Medicine I, TUM School of Medicine and Health, Technical University of Munich, University Hospital, Munich, Germany.
Birgit LinkohrInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße, Munich-Neuherberg, Germany.
Petra BarthelDepartment of Internal Medicine I, TUM School of Medicine and Health, Technical University of Munich, University Hospital, Munich, Germany.
Melanie MaierDepartment of Internal Medicine I, TUM School of Medicine and Health, Technical University of Munich, University Hospital, Munich, Germany.
Julia AllescherDepartment of Internal Medicine I, TUM School of Medicine and Health, Technical University of Munich, University Hospital, Munich, Germany.
Moritz F SinnerDZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany.
Konstantinos D RizasDZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany.
Wolfgang RathmannInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Karl-Ludwig LaugwitzDepartment of Internal Medicine I, TUM School of Medicine and Health, Technical University of Munich, University Hospital, Munich, Germany.
Stefan KääbDZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße, Munich-Neuherberg, Germany.
Georg SchmidtDepartment of Internal Medicine I, TUM School of Medicine and Health, Technical University of Munich, University Hospital, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the study was to derive median age- and sex-specific respiratory rates in a population-based sample of adults and to identify disease and lifestyle factors associated with elevated respiratory rates.

methodsIn the population-based KORA FF4 study conducted in Augsburg, Germany, 5-minute 12-lead resting electrocardiograms (ECGpro-system, AMEDTEC) were recorded in 2,224 participants from 39 to 88 years. Respiratory rate was derived from these electrocardiograms. Sex- and age-specific medians, IQRs, and percentiles were calculated. Associations of sociodemographic, disease, and lifestyle variables with elevated resting respiratory rate were assessed by univariable and multivariable logistic regression analyses.

resultsRespiratory rate decreased slightly from youngest to middle-aged women and men and increased in old age. Overall, median (IQR) was 15.80 (3.16) breaths per minute (brpm). Five percent of the participants had values lower than 12.06 brpm, and five percent had values above 20.06 brpm (95th percentile). Elevated respiratory rates of ≥  18.6 brpm were found in 13.8% (n =  308). In an adjusted logistic regression model, age, abdominal obesity, diabetes, COPD, smoking, and low education were significantly associated with elevated respiratory rate. Stratified analyses showed that education appeared to be more relevant in women, while the effect of diabetes was more pronounced in men.

conclusionsHigh respiratory rate may be an indicator of impaired health in the general population, especially regarding pulmonary and metabolic characteristics, and unfavorable lifestyle and living conditions. Individuals with an increased respiratory rate should therefore be examined and followed up more closely to recognize diseases and adverse progressions at an early stage and to possibly prevent them.

Indexed as

Life StyleRespiratory RateAdultAgedAged, 80 and overElectrocardiographyFemaleGermanyHumansMaleMiddle AgedRisk Factors

Identifiers

PMID40067853
PMCPMC11896064

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Registered trials

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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.