USING LONGITUDINAL DATA TO UNDERSTAND CHILDRENS ACTIVITY PATTERNS IN AN EXPOSURE CONTEXT - DATA FROM THE KANAWHA COUNTY HEALTH STUDY

被引:39
作者
SCHWAB, M
MCDERMOTT, A
SPENGLER, JD
机构
[1] Harvard School of Public Health, Department of Environmental Health, Boston, MA 02115
关键词
D O I
10.1016/0160-4120(92)90005-O
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An important component of assessing the levels, the sources, and the health effect of children's exposure to air pollution is understanding how and where members of this sensitive population spend their time. There are, however, few data bases that allow the documentation of the day-to-day nature of children's activities. Of particular concern is whether the one-day snapshots provided by time/activity diaries typically used in exposure studies represent the actual temporal and spatial extent of children's activities. As part of a community health study, longitudinal data on children's time/activity patterns were recently collected. A respiratory health status and gender stratified sample of 90 children kept daily diaries over two-week periods during both the summer and the fall. This paper first presents baseline information of children's activity patterns: the sample distribution of time spent in each of five microenvironments (travel, outdoor, at school, at home, and inside other locations) and the daily temporal pattern of activities. The consistent patterns of children on school days suggest that for most days we can accurately predict children's locations by time of day. The second part of the analysis shows that there is both high child-to-child variation in the average time spent in each microenvironment, even after controlling for gender and respiratory health status, and strong temporal variability in activity patterns within a child over time, even after controlling for school days versus nonschool days.
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页码:173 / 189
页数:17
相关论文
共 31 条
[1]  
Adair, Spengler, Assessing activity patterns for air pollution exposure research, Proc. research planning conference on human activity patterns, (1989)
[2]  
Akland, Hartwell, Johnson, Whitmore, Measuring human exposure to carbon monoxide in Washington, D.C. and Denver, Colorado during the winter of 1982–1983, Environ. Sci. Tech., 19, pp. 911-918, (1985)
[3]  
Armstrong, The geography of specific environments of patients and nonpatients in cancer studies with a Malaysian example, Economic Geography, 52, pp. 161-167, (1985)
[4]  
Brunekreef, Noy, Clausing, Variability of exposure measurements in environmental epidemiology, Amer. J. Epidemiol., 125, pp. 892-898, (1987)
[5]  
Brunekreef, Hoek, Steenbekkers, de Boer, Akkerman, Reproducibility of the WHO respiratory symptom questionnaire for children, Am. Rev. Resp. Dis. (Abstracts from the 1990 ATS meeting), (1990)
[6]  
Colome, Davidson, Lambert, Wojcieschowski, Cardiac response to carbon monoxide in the natural environment, Draft final report to the California Air Resources Board, Contract A3-138-33, (1986)
[7]  
Dockery, Speizer, Stram, Ware, Spengler, Ferris, Effects of inhalable particles on respiratory health of children, Am. Rev. Respir. Dis., 139, pp. 587-594, (1989)
[8]  
Duan, Models for human exposure to air pollution, Environ. Intnl., 8, pp. 305-309, (1982)
[9]  
Goldstein, Hartel, Andrews, Weinstein, Indoor air pollution exposure of low-income inner-city residents, Environ. Int., 12, pp. 211-219, (1986)
[10]  
Gray, Brower, Activities of children in urban neighborhoods, (1978)