Evidence map›Paper›PMID 37204831›Full record

ArticleJMIR formative research2023

A Systematic Analysis of Biological, Sociodemographic, Psychosocial, and Lifestyle Factors Contributing to Work Ability Across the Working Life Span: Cross-sectional Study.

Patrick D Gajewski, Jennifer A Rieker, Georgios Athanassiou, Peter Bröde, Maren Claus, Klaus Golka, Jan G Hengstler, Thomas Kleinsorge, Michael A Nitsche, Jörg Reinders and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05155397 (The Dortmund Vital Study), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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.

NCT05155397 active not recruitingnot on this map

The Dortmund Vital Study: Impact of Biological and Lifestyle Factors on Cognitive Performace and Work Ability Across the Lifespan. An Interdisciplinary, Cross-sectional and Longitudinal Study

TypeobservationalSponsorTechnical University of DortmundRan2016 to 2037Enrolled627ConditionsAge-related Cognitive Decline
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. LatentBiomolecules · 2025
    Article
  5. Article
  6. Article
  7. Individual Work Attitudes and Work Ability.European journal of investigation in health, psychology and education · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Poor Work Ability Is Associated with Workplace Violence in Nurses: A Two-Wave Panel Data Analysis.International journal of environmental research and public health · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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.

Patrick D GajewskiLeibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.ORCID https://orcid.org/0000-0001-8240-1702
Jennifer A RiekerDepartment of Basic Psychology II, Universidad Nacional de Educación a Distancia, Madrid, Spain.ORCID https://orcid.org/0000-0002-2955-8249
Georgios AthanassiouLeibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.ORCID https://orcid.org/0000-0002-9173-6181
Peter BrödeLeibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.ORCID https://orcid.org/0000-0001-8107-704X
Maren ClausLeibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.ORCID https://orcid.org/0000-0001-8732-0645
Klaus GolkaLeibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.ORCID https://orcid.org/0000-0003-0954-3805
Jan G HengstlerLeibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.ORCID https://orcid.org/0000-0002-1427-5246
Thomas KleinsorgeLeibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.ORCID https://orcid.org/0000-0002-4913-1728
Michael A NitscheLeibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.ORCID https://orcid.org/0000-0002-2207-5965
Jörg ReindersLeibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.ORCID https://orcid.org/0000-0003-1025-7849
Anita TischFederal Institute for Occupational Safety and Health (BAuA), Dortmund, Germany.ORCID https://orcid.org/0000-0003-0511-8828
Carsten WatzlLeibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.ORCID https://orcid.org/0000-0001-5195-0995
Edmund WascherLeibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.ORCID https://orcid.org/0000-0003-3616-9767
Stephan GetzmannLeibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.ORCID https://orcid.org/0000-0002-6382-0183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs employees age, their physical and mental abilities decline and work ability decreases, enhancing the risk for long-term sick leave or even premature retirement. However, the relative impact of biological and environmental determinants on work ability with increasing age is poorly understood in terms of their complexity.

objectivePrevious research has shown relationships between work ability and job and individual resources, as well as specific demographic and lifestyle-related variables. However, other potentially important predictors of work ability remain unexplored, such as personality traits and biological determinants, including cardiovascular, metabolic, immunological, and cognitive abilities or psychosocial factors. Our aim was to systematically evaluate a wide range of factors to extract the most crucial predictors of low and high work ability across the working life span.

methodsAs part of the Dortmund Vital Study, 494 participants from different occupational sectors, aged between 20 and 69 years, completed the Work Ability Index (WAI) assessing employee's mental and physical resources. A total of 30 sociodemographic variables were grouped into 4 categories (social relationships, nutrition and stimulants, education and lifestyle, and work related), and 80 biological and environmental variables were grouped into 8 domains (anthropometric, cardiovascular, metabolic, immunologic, personality, cognitive, stress related, and quality of life) and have been related to the WAI.

resultsUsing the analyses, we extracted important sociodemographic factors influencing work ability, such as education, social activities, or sleep quality, and identified age-dependent and age-independent determinants of work ability. Regression models explained up to 52% of the WAI variance. Negative predictors of work ability were chronological and immunological age, immunological inefficiency, BMI, neuroticism, psychosocial stress, emotional exhaustion, demands from work, daily cognitive failures, subclinical depression, and burnout symptoms. Positive predictors were maximum heart rate during ergometry, normal blood pressure, hemoglobin and monocyte concentration, weekly physical activity, commitment to the company, pressure to succeed, and good quality of life.

conclusionsThe identified biological and environmental risk factors allowed us to evaluate work ability in its complexity. Policy makers, employers, and occupational safety and health personnel should consider the modifiable risk factors we identified to promote healthy aging at work through focused physical, dietary, cognitive, and stress-reduced preventive programs, in addition to well-balanced working conditions. This may also increase the quality of life, commitment to the job, and motivation to succeed, which are important factors to maintain or even enhance work ability in the aging workforce and to prevent early retirement.

trial registrationClinicalTrials.gov NCT05155397; https://clinicaltrials.gov/ct2/show/NCT05155397. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/32352.

Indexed as

agingcardiovascular systemcognitive agingimmunologylifestylemetabolismmobile phoneoccupational safety and healthpsychosocial stresspublic healthwork ability

Identifiers

PMID37204831
PMCPMC10238961

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.