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Asthma and air pollution in the Los Angeles area

Author

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  • Whittemore, A.S.
  • Korn, E.L.

Abstract

Daily asthma attack diaries of 16 panels of asthmatics residing in the Los Angeles area were collected by the Environmental Protection Agency for 34-week periods during the years 1972-1975. These data are examined here for the relationship between daily attack occurrence and daily levels of photochemical oxidant, total suspended particulates, minimum temperature, relative humidity, and average wind speed. A separate multiple logistic regression is used for each panelist's attack data. Variables representing the presence or absence of attack on the preceding day, as well as day of the week and time since start of the study, are included in the regressions. The most significant predictor of attacks was the presence of an attack on the preceding day. On the average, the panelists tended to have increased attacks on days with high oxidant and particulate pollution, on cool days, and during the first two months of the study. Panelists' attack propensity also differed by day of the week; in particular they had more attacks on Saturdays (the last day of the weekly reporting period) than on Sundays. Each panelist's regression coefficients are classified according to age, sex, hay fever status, and self-assessed attack precursors; this classification is used to examine subgroups among the panelists with high coefficients corresponding to the above factors.

Suggested Citation

  • Whittemore, A.S. & Korn, E.L., 1980. "Asthma and air pollution in the Los Angeles area," American Journal of Public Health, American Public Health Association, vol. 70(7), pages 687-696.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.70.7.687_6
    DOI: 10.2105/AJPH.70.7.687
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    Cited by:

    1. Sergey PALTSEV & John REILLY & Trent YANG, 2010. "Air Pollution Health Effects: Toward an Integrated Assessment," EcoMod2004 330600109, EcoMod.
    2. Hongying Dai & Brian R. Lee & Jianqiang Hao, 2017. "Predicting Asthma Prevalence by Linking Social Media Data and Traditional Surveys," The ANNALS of the American Academy of Political and Social Science, , vol. 669(1), pages 75-92, January.
    3. Rowe, Robert D. & Lang, Carolyn M. & Chestnut, Lauraine G., 1996. "Critical factors in computing externalities for electricity resources," Resource and Energy Economics, Elsevier, vol. 18(4), pages 363-394, December.
    4. Yurika Nishioka & Jonathan I. Levy & Gregory A. Norris & Andrew Wilson & Patrick Hofstetter & John D. Spengler, 2002. "Integrating Risk Assessment and Life Cycle Assessment: A Case Study of Insulation," Risk Analysis, John Wiley & Sons, vol. 22(5), pages 1003-1017, October.
    5. McCubbin, Donald R. & Delucchi, Mark A., 1996. "The Social Cost of the Health Effects of Motor-Vehicle Air Pollution," University of California Transportation Center, Working Papers qt5jm6d2tc, University of California Transportation Center.
    6. Ostro, Bart, 1994. "Estimating the health effects of air pollutants : a method with an application to Jakarta," Policy Research Working Paper Series 1301, The World Bank.
    7. Anozie, A.N. & Bakare, A.R. & Sonibare, J.A. & Oyebisi, T.O., 2007. "Evaluation of cooking energy cost, efficiency, impact on air pollution and policy in Nigeria," Energy, Elsevier, vol. 32(7), pages 1283-1290.

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