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.
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.
What it found
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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.
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.
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
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis on the relationship between subjective cognitive failures as measured by the cognitive failures questionnaire (CFQ) and objective performance on executive function tasks.Psychonomic bulletin & review · 2025Pooled it
- Immune aging biomarkers for clinical trials.Nature medicine · 2026Review
- Medico-social predictors of low work ability: a cross-sectional study of 2104 workers in southern France.BMJ open · 2026Article
- LatentBiomolecules · 2025Article
- The hidden athlete: exploring work and performance ability of professional dancers through a mixed-method-approach.BMC sports science, medicine & rehabilitation · 2025Article
- Changes of cognitive functions and proinflammatory cytokines across the lifespan in latentBrain, behavior, & immunity - health · 2025Article
- Individual Work Attitudes and Work Ability.European journal of investigation in health, psychology and education · 2025Article
- The association between hair cortisol and burnout is moderated by age, psychosocial, and immunological markers.Brain, behavior, & immunity - health · 2025Article
- Predictors of work ability of secondary school teachers in Germany.Frontiers in public health · 2025Article
- Emotional and Work-Related Factors in the Self-Assessment of Work Ability among Italian Healthcare Workers.Healthcare (Basel, Switzerland) · 2024Article
- Poor Work Ability Is Associated with Workplace Violence in Nurses: A Two-Wave Panel Data Analysis.International journal of environmental research and public health · 2024Article
- The Work Ability Index (WAI) in the Healthcare Sector: A Cross-Sectional/Retrospective Assessment of the Questionnaire.International journal of environmental research and public health · 2024Article
- Influence of menstrual pain and symptoms on activities of daily living and work absenteeism: a cross-sectional study.Reproductive health · 2024Article
- From Immunosenescence to Aging Types-Establishing Reference Intervals for Immune Age Biomarkers by Centile Estimation.International journal of molecular sciences · 2023Article
- Does physical fitness affect cognitive functions differently across adulthood? An advantage of being older.Frontiers in psychology · 2023Article
- Effects of cognitive and stress management training in middle-aged and older industrial workers in different socioeconomic settings: a randomized controlled study.Frontiers in psychology · 2023Article
- Calibrating a Comprehensive Immune Age Metric to Analyze the Cross Sectional Age-Related Decline in Cardiorespiratory Fitness.Biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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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 Socratic graph.