Evaluating Bias in Self-Reported Symptoms During a Cyanobacterial Algal Bloom

Algal blooms produced by cyanobacteria liberate microcystins and other toxins that create a public health hazard. During the 2018 bloom of <i>Microcystis aeruginosa</i> in Florida, USA, residential and recreational exposures were associated with an increased risk of self-reporting respiratory, gastrointestinal, or ocular symptoms for 125 participants. Subsequently, 207 persons were interviewed between 2019 and 2024 in the absence of large-scale algal blooms and were considered non-exposed. Analyses of cyanotoxins and brevetoxins in water and air showed only intermittent, background levels of toxins during the non-bloom period. The purpose of this report was to compare symptom reporting between active bloom and non-bloom periods. The assessment of information bias from self-reported symptoms is an important issue in epidemiologic studies of harmful algal blooms. During the non-bloom period, no statistically significant associations with residential, recreational, or occupational exposures were found for any symptom group. Estimated risks for respiratory, gastrointestinal, and ocular symptoms, headache, and skin rash were significantly higher for persons sampled during the bloom than the non-bloom period with odds ratios (ORs) of 2.3 to 8.3. ORs for specific respiratory symptoms were also significantly elevated. After adjustment for confounders and multiple exposures in multivariable analyses, the differences in symptom reporting between bloom and non-bloom periods remained statistically significant. In summary, the use of self-reported symptoms in this epidemiologic study of exposure to a cyanobacterial algal bloom did not appear to introduce substantial information bias.

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Publication Details

Journal
Toxins
Published
2025-06-06
DOI
https://doi.org/10.3390/toxins17060287
Citations
1
Primary Topic
Aquatic Ecosystems and Phytoplankton Dynamics
Type
article
Field-Weighted Citation Impact
0.86

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article

Evaluating Bias in Self-Reported Symptoms During a Cyanobacterial Algal Bloom

Malcolm McFarland, Rebecca S. Koszalinski, Adam M. Schaefer, M. L. Parsons et al.
1 citations
Toxins
Aquatic Ecosystems and Phytoplankton Dynamics
0.86
article

Evaluating Bias in Self-Reported Symptoms During a Cyanobacterial Algal Bloom

Malcolm McFarland, Rebecca S. Koszalinski, Adam M. Schaefer, M. L. Parsons, Judyta Kociolek, John S. Reif, Rachael Schinbeckler, Alex Rockenstyre
article en
1 citations

Abstract

Algal blooms produced by cyanobacteria liberate microcystins and other toxins that create a public health hazard. During the 2018 bloom of <i>Microcystis aeruginosa</i> in Florida, USA, residential and recreational exposures were associated with an increased risk of self-reporting respiratory, gastrointestinal, or ocular symptoms for 125 participants. Subsequently, 207 persons were interviewed between 2019 and 2024 in the absence of large-scale algal blooms and were considered non-exposed. Analyses of cyanotoxins and brevetoxins in water and air showed only intermittent, background levels of toxins during the non-bloom period. The purpose of this report was to compare symptom reporting between active bloom and non-bloom periods. The assessment of information bias from self-reported symptoms is an important issue in epidemiologic studies of harmful algal blooms. During the non-bloom period, no statistically significant associations with residential, recreational, or occupational exposures were found for any symptom group. Estimated risks for respiratory, gastrointestinal, and ocular symptoms, headache, and skin rash were significantly higher for persons sampled during the bloom than the non-bloom period with odds ratios (ORs) of 2.3 to 8.3. ORs for specific respiratory symptoms were also significantly elevated. After adjustment for confounders and multiple exposures in multivariable analyses, the differences in symptom reporting between bloom and non-bloom periods remained statistically significant. In summary, the use of self-reported symptoms in this epidemiologic study of exposure to a cyanobacterial algal bloom did not appear to introduce substantial information bias.

ToxinsVol. 17(6)
University of Central Florida (US), Colorado School of Public Health (US), Florida Gulf Coast University (US), Florida Atlantic University (US), Harbor Branch Oceanographic Institute (US), Colorado State University (US)
Florida Department of Health
Good health and well-being
Openalex Percentile: Top 27%
Aquatic Ecosystems and Phytoplankton Dynamics
0.86
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