A Systematic Analysis Of Biological And Environmental Factors Contributing To Work Ability Across The Working Lifespan: A Cross-Sectional Study (Preprint)

Author:

Gajewski Patrick D.ORCID,Rieker Jennifer A.ORCID,Athanassiou GeorgiosORCID,Bröde PeterORCID,Claus MarenORCID,Golka KlausORCID,Hengstler Jan G.ORCID,Kleinsorge ThomasORCID,Nitsche Michael A.ORCID,Reinders JörgORCID,Tisch AnitaORCID,Watzl CarstenORCID,Wascher EdmundORCID,Getzmann StephanORCID

Abstract

BACKGROUND

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

OBJECTIVE

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

METHODS

As part of the Dortmund Vital Study https://www.researchprotocols.org/2022/3/e32352, 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. Thirty sociodemographic variables were grouped in four categories (social relationships, nutrition and stimulants, education and lifestyle, and work-related), and eighty biological and environmental variables were grouped in eight domains (anthropometric, cardiovascular, metabolic, immunological, personality, cognitive, stress-related, quality of life) to be related to the WAI.

RESULTS

The analyses extracted important sociodemographic factors influencing WA such as education, social activities or sleep quality and showed age-dependent and age-independent determinants of WA. Regression models explained up to 52% of the WAI variance. Negative predictors of WA were chronological and immunological age, low immunological efficiency (CD4/CD8-ratio), high 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, blood pressure, hemoglobin and monocyte concentration, weekly physical activity, commitment to the company, pressure to succeed and good quality of life.

CONCLUSIONS

The identified biological and environmental risk factors allow to evaluate WA in its complexity. Policymakers, employers, and occupational safety and health personnel should consider the here identified modifiable risk factors 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 quality of life, commitment to the job and motivation to succeed which are important factors to maintain or even enhance WA in the aging workforce and to prevent premature retirement.

CLINICALTRIAL

Clinicaltrials.gov NCT05155397; https://clinicaltrials.gov/ct2/show/NCT05155397

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/32352

Publisher

JMIR Publications Inc.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3