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Temporal variability of microenvironmental time budgets in Maryland
S L Echols1, D L MacIntosh, K A Hammerstrom
1Department of Environmental Health Science, University of Georgia, Athens, USA.
Journal of Exposure Analysis and Environmental Epidemiology
|November 30, 1999
Summary
Short-term human time-activity patterns are not representative of long-term exposure. Collecting time budget data over many points in time is crucial for accurate individual health risk assessments.
Area of Science:
- Environmental health
- Exposure science
- Epidemiology
Background:
- Accurate interpretation of environmental exposure data requires understanding human time-activity patterns.
- While short-term (1-day) time-activity data are available, their reliability for chronic exposure assessments is unclear.
- Chronic health risk evaluations necessitate reliable long-term exposure data.
Purpose of the Study:
- To assess the reliability of short-term time-activity data for chronic exposure assessments.
- To characterize long-term average microenvironmental time budgets and identify influencing factors.
- To determine if 1-day time budget measurements adequately represent long-term patterns.
Main Methods:
- Collected daily time budget data for 80 individuals across seven microenvironments over a 12-month period (NHEXAS-Maryland study).
- Analyzed data by sampling cycle, day of week, and individual to identify determinants of time budgets.
- Statistically examined variations in time spent across different microenvironments.
Main Results:
- Median times in microenvironments varied significantly by time of year, day of week, and individual.
- Time budgets showed significant variability based on gender, age, education, income, and work status.
- Short-term (1-day) measures were found to be unlikely representative of long-term individual time-activity patterns.
Conclusions:
- Short-term time-activity data are insufficient for accurate chronic exposure assessments at the individual level.
- Health risk assessments may be insensitive to the timing of data collection if based on short-term patterns.
- Collecting time budget data over numerous points in time significantly improves the accuracy of individual health risk assessments.