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Biometeorological effects on worker absenteeism.

Steven E Markham¹, Ina S Markham

¹Virginia Tech, Department of Management, Blacksburg, VA 24061, USA. markhami@vt.edu

International Journal of Biometeorology

|January 14, 2005

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Biometeorological variables significantly impact worker absenteeism. Temperature, precipitation, air pressure, wind speed, and snow uniquely predict daily absences, highlighting the importance of weather in workplace productivity models.

Area of Science:

Occupational health
Environmental science
Biometeorology

Background:

Worker absenteeism presents significant challenges for plant-wide productivity.
Understanding external factors influencing absenteeism is crucial for effective workforce management.

Purpose of the Study:

To investigate the unique impact of six biometeorological variables on daily plant-wide worker absenteeism rates.
To assess the predictive capability of meteorological factors in absenteeism models.

Main Methods:

Analysis of 4 years of daily absenteeism data (n=889).
Statistical modeling controlling for temporal variables (year, season, day of week) and other biometeorological factors.
Partial correlation analysis to determine unique variable contributions.

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Main Results:

Temperature, precipitation, air pressure, wind speed, and snow showed significant unique correlations with absenteeism.
Humidity did not demonstrate a unique correlation with absenteeism.
The full model, including meteorological variables, explained a significant portion of absenteeism variance (adjusted R² = 0.29).

Conclusions:

Biometeorological variables are important predictors of plant-wide worker absenteeism.
Meteorological factors should be considered in developing predictive models for workplace absences.
Further research can explore integrating these variables for proactive absenteeism management strategies.