TY - JOUR
T1 - Using longitudinal data to understand children's activity patterns in an exposure context
T2 - Data from the Kanawha county health study
AU - Schwab, Margo
AU - McDermott, Aidan
AU - Spengler, John D.
N1 - Funding Information:
at the 5th International Conference on Indoor Air Quality and Climate '90. This research was supported in part by two grants from the U.S. Environmental Protection Agency to the Harvard School of Public Health: CR813638-02 through a subcontract with the National Institute for Chemical Studies and cooperative agreement CR816740-01-0. The authors wish to acknowledge the field coor- dination efforts of Helen Rentch, the study design contributions of Ha\]Qk Ozkaynak, Jonathan Samet, and Gregory Wagner, and the administrative support of Cheryl Brandwein.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 1992
Y1 - 1992
N2 - An important component of assessing the levels, the sources, and the health effects 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.
AB - An important component of assessing the levels, the sources, and the health effects 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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U2 - 10.1016/0160-4120(92)90005-O
DO - 10.1016/0160-4120(92)90005-O
M3 - Article
AN - SCOPUS:0026533234
SN - 0160-4120
VL - 18
SP - 173
EP - 189
JO - Environmental International
JF - Environmental International
IS - 2
ER -