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Related Experiment Video

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Regression model for predicting low work ability among sedentary aging workers.

Samruddhi Hirapara1, Kavitha Vishal2, N Girish2

  • 1Physiotherapist, Surat, Gujarat, India.

Work (Reading, Mass.)
|November 8, 2021
PubMed
Summary
This summary is machine-generated.

Work ability declines with age, especially in sedentary jobs. Key factors like BMI, medical conditions, and handgrip strength predict reduced work ability in older office workers.

Keywords:
Sedentary workeroccupational healthwork abilitywork ability assessmentwork ability questionnaire

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Area of Science:

  • Occupational Health
  • Gerontology
  • Ergonomics

Background:

  • Work ability, crucial for job performance, naturally declines with age.
  • This decline is exacerbated in sedentary occupations, impacting older workers.
  • Early identification of at-risk individuals can enhance functional capacity and productivity.

Purpose of the Study:

  • To pinpoint factors contributing to low work ability.
  • To develop a predictive model for diminished work capacity.
  • Focusing on sedentary, aging office workers.

Main Methods:

  • A case-control study design was employed.
  • Work ability was assessed using the Work Ability Questionnaire (WAQ).
  • Demographic, health, and job-related factors were analyzed using multiple logistic regression.

Main Results:

  • Factors significantly associated with poor work ability included BMI, years at work, diagnosed medical conditions, medicine intake, and handgrip strength.
  • Analysis identified specific demographic, health, and task-related predictors.
  • Statistically significant odds ratios were calculated for identified variables.

Conclusions:

  • The study successfully identified key factors impacting work ability in sedentary aging office workers.
  • A predictive model for low work ability was successfully developed.
  • Findings can inform interventions to support this demographic.