Evidence map›Paper›PMID 31696315›Full record

ArticleInternational archives of occupational and environmental health2020

Age, aging and physiological dysregulation in safety-critical work: a retrospective longitudinal study of helicopter emergency medical services pilots.

Hans Bauer, Dennis Nowak, Britta Herbig

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in International archives of occupational and environmental health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hans BauerInstitute and Clinic for Occupational, Social, and Environmental Medicine, University Hospital of LMU Munich, Ziemssenstraße 1, 80336, Munich, Germany. hans.bauer@med.uni-muenchen.de.ORCID 0000-0003-2537-8598
Dennis NowakInstitute and Clinic for Occupational, Social, and Environmental Medicine, University Hospital of LMU Munich, Ziemssenstraße 1, 80336, Munich, Germany.
Britta HerbigInstitute and Clinic for Occupational, Social, and Environmental Medicine, University Hospital of LMU Munich, Ziemssenstraße 1, 80336, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeConcurrent progressive physiological dysregulation in different organ systems may be a driver of phenotypical frailty and is associated with morbidity and performance declines. In aging societies, health and performance of older workers are given increased scrutiny. However, there are few studies researching the effect of age on physiological dysregulation specifically in the working population and none for high-risk occupations with close medical supervision. Here, we aim to investigate this association cross-sectionally and longitudinally in a healthy sample of European helicopter emergency medical services pilots.

methodsUsing a retrospective cohort design, we constructed indices of (a) physiological dysregulation state (N = 52 participants) and (b) pace of change (N = 41 participants, average follow-up 7.9 years) based on measurements of 18 health risk-associated biomarkers, as documented in the participating pilots' aeromedical examination records. The relationship of these two indices with average age (range 27.9-60.6 years) and average baseline age (29.3-57.2 years), respectively, was modeled by weighted least squares regression, adjusting for region of origin, smoking, and medication.

resultsLongitudinally, dysregulation significantly increased over the follow-up period, but the pace of change did not increase with baseline age. Cross-sectionally, we observed a significant negative quadratic effect of age on physiological dysregulation state, with maximum estimated physiological dysregulation at ages 45-50.

conclusionsAs hypothesized, progression of dysregulation over approximately 8 years is observable in a healthy occupational sample but it does not accelerate (i.e., does not increase with baseline age). Increases in dysregulation are counteracted by what appears to be a strong healthy worker survivor effect. The study shows that the development of physiological dysregulation in high-risk occupations differs from that in the general population and that physiological dysregulation indices may be helpful in reconciling safety concerns and fair treatment of aging workers in safety-critical jobs.

Indexed as

AdultAge DistributionAgingAir AmbulancesAircraftBiomarkersEmergency Medical ServicesEuropeHealth Status IndicatorsHumansLongitudinal StudiesMaleMiddle AgedOccupational HealthPilotsRetrospective StudiesBiomarkersAge 60 RuleBiological ageFunctional declineOccupational safetyWorkforce aging

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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.