Modeling time-location patterns of inner-city high school students in New York and Los Angeles using a longitudinal approach with generalized estimating equations

被引:0
作者
B Rey deCastro
Sonja N Sax
Steven N Chillrud
Patrick L Kinney
John D Spengler
机构
[1] Johns Hopkins Bloomberg School of Public Health,Department of Environmental Health Sciences
[2] Harvard School of Public Health,Department of Environmental Health
[3] Lamont-Doherty Earth Observatory,Department of Environmental Health Science
[4] Columbia University,undefined
[5] Columbia University,undefined
[6] Mailman School of Public Health,undefined
来源
Journal of Exposure Science & Environmental Epidemiology | 2007年 / 17卷
关键词
activity pattern data; alternating logistic regression; environmental exposure; generalized estimating equation; indoor air pollution; time-location diary; urban population;
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学科分类号
摘要
The TEACH Project obtained subjects' time-location information as part of its assessment of personal exposures to air toxics for high school students in two major urban areas. This report uses a longitudinal modeling approach to characterize the association between demographic and temporal predictors and the subjects' time-location behavior for three microenvironments — indoor-home, indoor-school, and outdoors. Such a longitudinal approach has not, to the knowledge of the authors, been previously applied to time-location data. Subjects were 14- to 19-year-old, self reported non-smokers, and were recruited from high schools in New York, NY (31 subjects: nine male, 22 female) and Los Angeles, CA (31 subjects: eight male, 23 female). Subjects reported their time-location in structured 24-h diaries with 15-min intervals for three consecutive weekdays in each of winter and summer-fall seasons in New York and Los Angeles during 1999–2000. The data set contained 15,009 observations. A longitudinal logistic regression model was run for each microenvironment where the binary outcome indicated the subject's presence in a microenvironment during a 15-min period. The generalized estimating equation (GEE) technique with alternating logistic regressions was used to account for the correlation of observations within each subject. The multivariate models revealed complex time-location patterns, with subjects predominantly in the indoor-home microenvironment, but also with a clear influence of the school schedule. The models also found that a subject's presence in a particular microenvironment may be significantly positively correlated for as long as 45 min before the current observation. Demographic variables were also predictive of time-location behavior: for the indoor-home microenvironment, having an afterschool job (OR=0.67 [95% confidence interval: 0.54:0.85]); for indoor-school, living in New York (0.42 [0.29:0.59]); and for outdoor, being 16-year-old (0.80 [0.67:0.96]), 17-year-old (0.71 [0.54:0.92]), and having an afterschool job (1.29 [1.07:1.56]).
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页码:233 / 247
页数:14
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