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In reply: Serial correlation and confounders in time-series air pollution studies

Fay H Johnston, Anne Kavanagh, David MJS Bowman and Randall K Scott
MJA 2002 177 (7): 397-398

In reply: Jalaludin and colleagues query the potential effects that serial correlation and confounding by school holiday time periods may have had on our finding of an association between particulates derived from bushfire smoke and asthma presentations.1

As previously discussed by Schwartz, time series analyses are important to control for serial correlations, particularly those due to the effects of seasonality and weather fluctuations.2 Our study did not cover a number of seasons. It was conducted during one tropical dry season, a period characterised by remarkably stable day-to-day weather conditions.3 For this reason, we believe that the effects of any autocorrelation would have been negligible. It is of interest that the development of statistical methods for analysing time series of count data during the 1990s, and analysis of large studies of particulate pollution using these methods, did not have an important effect on the conclusions reached by earlier studies.4

There is evidence that hospital admissions for asthma fall during school holidays.5 Anecdotal reports of more regional fires suggest that, if anything, particulate concentrations over Darwin might increase at these times. A reanalysis of our data including school holiday periods as a potential confounding factor did not appreciably alter our results in either the continuous (revised incidence rate ratio [IRR],1.26; 95% CI, 1.12–1.41, compared with original IRR, 1.20; 95% CI, 1.09–1.34) or categorical analysis (see Table).

Asthma presentations and exposure levels of PM10* (μg/m3)

Rate ratio for asthma presentations (95% CI)


Same-day PM10 category (μg/m3)

Original analysis

Revised analysis


< 10

1.0

1.0

10–< 20

0.90 (0.60–1.35)

0.84 (0.43–1.63)

20–< 30

1.11 (0.74–1.69)

1.13 (0.58–2.18)

30–< 40

1.18 (0.72–1.97)

1.21 (0.58–2.50)

≥ 40

2.38 (1.46–3.90)

2.47 (1.21–5.01)


* Particles of 10 microns or less in aerodynamic diameter per cubic metre. † Adjusted for influenza-like illness and weekday. ‡ Adjusted for influenza-like illness, weekday and school holiday periods.

  1. Johnston FH, Kavanagh AM, Bowman DMJS, Scott RK. Exposure to bushfire smoke and asthma: an ecological study. Med J Aust 2002; 176: 535-538. <PubMed> <eMJA full text>
  2. Schwarz J, Spix C, Touloumi G, et al. Methodological issues in studies of air pollution and daily counts of deaths or hospital admissions. J Epidemiol Community Health 1996; 50: S3-S11. <PubMed>
  3. Gill AM, Moore PHR, Williams RJ. Fire weather in the wet dry tropics of the World Heratige Kakadu National Park, Australia. Aust J Ecology 1996; 21: 302-308.
  4. Lumley T. Statistical training for epidemiologists: a view from afar. Australas Epidemiologist 2001; 8(4): 5-7.
  5. Storr J, Lenney W. School holidays and admissions with asthma. Arch Dis Child 1989; 64: 103-107. <PubMed>

(Received 22 Jul 2002, accepted 1 Aug 2002)

Menzies School of Health Research, Nightcliff, NT.

Fay H Johnston, MappEpi, FAFPHM, Public Health Physician.

Australian Research Centre for Sex Health and Society, Latrobe University, Melbourne, VIC.

Anne Kavanagh, PhD, FAFPHM, VicHealth Senior Research Fellow.

Key Centre for Tropical Wildlife Management, Northern Territory University, Darwin, NT.

David MJS Bowman, PhD, DSc, Principal Research Fellow.

Environment and Heritage Division, Northern Territory Department of Lands Planning and Environment, Darwin, NT.

Randall K Scott, BAppSci(Biol), Manager, Environmental Policy.

Correspondence: Dr Fay H Johnston, Menzies School of Health Research, PO Box 335, Nightcliff, NT 0814. fjohnsATtedgp.org.au

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