Association between typhoon and asthma symptoms in Japan

Sato, Suguru; Saito, Junpei; Suzuki, Yasuhito; Uematsu, Manabu; Fukuhara, Atsuro; Togawa, Ryuichi; Sato, Yuki; Misa, Kenichi; Nikaido, Takefumi; Wang, Xintao; Tanino, Yoshinori; Munakata, Mitsuru

doi:10.1016/j.resinv.2015.10.002

Cited by 7 publications

(16 citation statements)

References 6 publications

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“…In one interesting study, moving to a site with high barometric pressure has improved arterial oxygenation in COPD patients without changing the spirometry results [44]. Research done in Japan and Britain have demonstrated negative correlation with acute exacerbations of asthma and barometric pressure which agree with our results [21,45].…”

Section: Discussion Of the Biological Basis Of Correlation Patterns Wsupporting

confidence: 88%

“…Hence a peak of the count of patients nebulized was expected to be plausible after a trough or a peak of relative humidity (either a positive or negative correlation with relative humidity). Past studies have demonstrated positive as well as negative correlations between barometric pressure and wheezing [20,21]. Thus we thought either a peak or a trough of the count of patients nebulized was plausible following a peak of barometric pressure.…”

Section: Objectivesmentioning

confidence: 74%

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The association between local meteorological changes and exacerbation of acute wheezing in Kandy, Sri Lanka

Ehelepola

Ariyaratne

Jayaratne

2018

Global Health Action

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Background: Severe wheezing is a common medical emergency. Past studies have demonstrated associations between exacerbation of wheezing and meteorological factors and atmospheric pollution. There are no past studies from Sri Lanka that analyzed correlation between daily multiple meteorological variables and exacerbation of wheezing. Objectives: To determine the correlations between daily counts of patients nebulized at the Outpatient Department (OPD) of Teaching Hospital -Kandy (THK) and local meteorological variables, and to explore the utility of that information. Design: We considered daily counts of patients nebulized at the OPD of THK as an indicator of exacerbations of wheezing in the population catered to by this hospital. We determined the correlations between daily counts of patients nebulized at OPD and the following meteorological variables for four years: daily rainfall, minimum temperature, maximum temperature, diurnal temperature range, difference between maximum temperature and the temperature at 1800 hours, daytime humidity, nighttime humidity, barometric pressure and visibility. We utilized wavelet time series method for data analysis. Results: All nine meteorological parameters studied were correlated with the daily counts of patients nebulized with average lag periods ranging from 5 to 15 days. Peaks of daily rainfall, maximum temperature, diurnal temperature range, difference between maximum temperature and the temperature at 1800 hours and daytime humidity were followed by peaks of counts of patients nebulized (positive correlations). Troughs of minimum temperature, nighttime humidity, barometric pressure and visibility were followed by peaks of patients nebulized (negative correlations). Conclusions: The THK shall expect more patients with acute wheezing after extremes of weather. Minimum temperature has been consistently correlated with the exacerbation of respiratory symptoms in the past studies in other countries as well. Hence, prescribing the inhalation of more drugs on unusually cold days (prophylactically) may help prevent acute exacerbation of wheezing in patients on treatment for asthma and COPD.

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Section: Discussion Of the Biological Basis Of Correlation Patterns Wsupporting

confidence: 88%

Section: Objectivesmentioning

confidence: 74%

The association between local meteorological changes and exacerbation of acute wheezing in Kandy, Sri Lanka

Ehelepola

Ariyaratne

Jayaratne

2018

Global Health Action

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“…32 Concerning atmospheric pressure, previous studies have demonstrated both positive and negative correlations between it and asthma. 33,34 Studies conducted in Japan and London have revealed a negative correlation between asthma and atmospheric pressure, which corresponds to our results. 34,35 The role of climatic factors (e.g., atmospheric pressure, temperature, and humidity) in triggering asthma attacks has been proven; they have been connected with both low 35 and high atmospheric pressure.…”

Section: Bilheem S Et Al Spatio-temporal Epidemiology Of Asthma and Air Pollutionsupporting

confidence: 91%

The Spatio-temporal Epidemiology of Asthma Patient Visits in Relation to Meteorological Parameters and Air Pollution Factors as a Result of Seasonal Change in Songkhla Province

Bilheem

Choosong

Sriplung

et al. 2021

J Health Sci Med Res

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Objective: To investigate the demographic characteristics, seasonal variations, effects associated with air pollution, and geographic morbidity of asthma in Songkhla.Material and Methods: This research conducted a time series analysis of secondary data from 1 January, 2013 to 31 December, 2017. The distributed lag non-linear model was employed to analyze associations between air pollutants and daily asthma outpatient visits, and the Bayesian hierarchical modelling was used to map asthma morbidity spatiotemporally.Results: A total of 250,127 asthma diagnoses corresponding to 36,761 patients were found in the medical records. Most asthma outpatients were female (61.1%); males (1-5 years) constituted the majority of individuals during the first peak, while females (40-50 years) predominated the second peak. The trend analysis revealed a seasonal variation in the number of asthma outpatient visits; the highest rates were during the June-December period. The regression coefficient analysis revealed carbon monoxide (CO), nitrogen dioxide (NO2 ), relative humidity, and visibility to have the most significant positive effect on asthma, while the cos (wind direction) had the highest negative effect/impact. Significant associations were found between outpatient gender and age and CO, NO2 , sulfur dioxide, ozone, and particulate matter less than 10 micron. The Hat Yai and Central districts of Songkhla province were identified as morbidity hotspots.Conclusion: The number of asthma-related outpatient visits increased during the rainy season. Asthma affected primarily young boys and middle-aged women in this province, and they constitute the most sensitive group to air pollutants such as CO and NO2 and meteorological conditions like relative humidity and visibility. The highest morbidity rates were found in urbanized habitats.

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“…The associated factor hypothesis of often falling ill (OR 6.81) may indicate that asthma itself implies a more delicate state of health. Some participants reported that they have a harder time breathing during a typhoon (OR 13.35), and this supports the theory that the typhoon season can worsen the asthma condition [ 37 ]. In addition, some individuals with asthma also experience the onset of itching when touching certain metals (OR 4.49).…”

Section: Discussionmentioning

confidence: 60%

Crowdsourced Identification of Possible Allergy-Associated Factors: Automated Hypothesis Generation and Validation Using Crowdsourcing Services

2017

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Background Hypothesis generation is an essential task for clinical research, and it can require years of research experience to formulate a meaningful hypothesis. Recent studies have endeavored to apply crowdsourcing to generate novel hypotheses for research. In this study, we apply crowdsourcing to explore previously unknown allergy-associated factors. Objective In this study, we aimed to collect and test hypotheses of unknown allergy-associated factors using a crowdsourcing service. Methods Using a series of questionnaires, we asked crowdsourcing participants to provide hypotheses on associated factors for seven different allergies, and validated the candidate hypotheses with odds ratios calculated for each associated factor. We repeated this abductive validation process to identify a set of reliable hypotheses. Results We obtained two primary findings: (1) crowdsourcing showed that 8 of the 13 known hypothesized allergy risks were statically significant; and (2) among the total of 157 hypotheses generated by the crowdsourcing service, 75 hypotheses were statistically significant allergy-associated factors, comprising the 8 known risks and 53 previously unknown allergy-associated factors. These findings suggest that there are still many topics to be examined in future allergy studies. Conclusions Crowdsourcing generated new hypotheses on allergy-associated factors. In the near future, clinical trials should be conducted to validate the hypotheses generated in this study.

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Association between typhoon and asthma symptoms in Japan

Cited by 7 publications

References 6 publications

The association between local meteorological changes and exacerbation of acute wheezing in Kandy, Sri Lanka

The association between local meteorological changes and exacerbation of acute wheezing in Kandy, Sri Lanka

The Spatio-temporal Epidemiology of Asthma Patient Visits in Relation to Meteorological Parameters and Air Pollution Factors as a Result of Seasonal Change in Songkhla Province

Crowdsourced Identification of Possible Allergy-Associated Factors: Automated Hypothesis Generation and Validation Using Crowdsourcing Services

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