Short-term exposure to ambient particulate matter and emergency ambulance dispatch for acute illness in Japan

Tasmin, Saira; Ueda, Kayo; Stickley, Andrew; Yasumoto, Shinya; Phung, Vera Ling Hui; Oishi, Mizuki; Yasukouchi, Satoshi; Uehara, Yoshio; Michikawa, Takehiro; Nitta, Hiroshi

doi:10.1016/j.scitotenv.2016.05.054

Cited by 21 publications

(8 citation statements)

References 43 publications

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“…35 Also, Tasmin et al showed that increase in ambient suspended particulate matter (SPM) increased the risk of emergency pre-hospital ambulances departing for acute illnesses (RR= 1.008 (95% CI:1.007-1.010 )) in Japan. 36 Ueda et al reported that severe Asian dust storms in Japan increased the risk of EMS missions for all emergency patients (12.1%, 95% CI: 2.3%-22.9%) on the same day and up to 3 days after exposure 37…”

Section: Discussionmentioning

confidence: 99%

“…42 But, Tasmin et al showed that following increased ambient particulate matter, the rate of ambulance missions due to respiratory diseases significantly increased (1.018, 95% CI: 1.013, 1.023), in Japan; but there was no increase for cardiovascular missions (1.000, 95% CI: 0.996, 1.005). 36 Differences in the results of different studies are probably due to differences in population susceptibility, the PM 10 components and the concentration of PM 10 in dust storms. 28 As a result, there remains a significant uncertainty in the generalization of risk estimates.…”

Section: Discussionmentioning

confidence: 99%

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Cardiovascular and respiratory emergency dispatch due to short-term exposure to ambient PM10 in Dezful, Iran

Aghababaeian

Dastoorpoor

Ghasemi

et al. 2019

J Cardiovasc Thorac Res

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Introduction: This study was conducted to determine the relation between exposure to particulate matter less than 10 microns (PM10) caused by dust storms and the risk of cardiovascular, respiratory and traffic accident missions carried out by Emergency Medical Services (EMS). Methods: This was a time-series study conducted in Dezful city, Iran. Daily information on the number of missions by the EMS due to cardiovascular, respiratory and crash problems and data on PM10 were inquired from March 2013 until March 2016. A generalized linear model (GLM) with distributed lag models (DLMs) was used to evaluate the relation between the number of EMS missions and the average daily PM10. The latent effects of PM10 were estimated in single and cumulative lags, up to 14 days. Results: In the adjusted model, for each IQR increase in the average daily PM10 concentration, the risk of EMS missions in the total population in single lags of 2 to 7 days, and the cumulative lags of 0-7 and 0-14 days after exposure had a 0.8, 0.8, 0.8, 0.8, 0.7, 0.6, 6.7 and 1.4% significant increase. Also, for each IQR increase in the daily mean concentration of PM10 in single 1 to 7, and cumulative lags of 0-2, 0-7, and 0-14 days after exposure, respectively, a 2.4, 2.7, 2.8, 2.9, 2.9, 2.7, 2.5, 7.4, 23.5 and 33. 3 % increase was observed in the risk of EMS cardiovascular missions. Conclusion: Increase in daily PM10 concentrations in Dezful is associated with an increase in the risk of EMS missions in lags up to two weeks after exposure.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Cardiovascular and respiratory emergency dispatch due to short-term exposure to ambient PM10 in Dezful, Iran

Aghababaeian

Dastoorpoor

Ghasemi

et al. 2019

J Cardiovasc Thorac Res

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“…However, the database which records daily morbidity information over multiple areas for epidemiological studies has not been fully established in some countries. The use of emergency ambulance dispatches (EAD) as a morbidity indicator in studies investigating health effects of ambient air pollutants has been increasing in recent years [ 9 , 10 , 11 , 12 , 13 , 14 ]. This has the potential to act as a proxy for health outcomes, especially in countries without detailed health databases.…”

Section: Introductionmentioning

confidence: 99%

“…This has the potential to act as a proxy for health outcomes, especially in countries without detailed health databases. Only a few studies have examined PM 2.5 health effects using EAD data [ 10 , 12 , 13 , 14 ]; the others examined the health effects with PM 10 [ 9 ] and suspended particulate matter (SPM) [ 11 ]. In addition, most of the studies estimated the association in single-city settings [ 10 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Acute Effects of Ambient PM2.5 on All-Cause and Cause-Specific Emergency Ambulance Dispatches in Japan

Phung

Ueda

Kasaoka

et al. 2018

IJERPH

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Short-term health effects of ambient PM2.5 have been established with numerous studies, but evidence in Asian countries is limited. This study aimed to investigate the short-term effects of PM2.5 on acute health outcomes, particularly all-cause, cardiovascular, respiratory, cerebrovascular and neuropsychological outcomes. We utilized daily emergency ambulance dispatches (EAD) data from eight Japanese cities (2007–2011). Statistical analyses included two stages: (1) City-level generalized linear model with Poisson distribution; (2) Random-effects meta-analysis in pooling city-specific effect estimates. Lag patterns were explored using (1) unconstrained-distributed lags (lag 0 to lag 7) and (2) average lags (lag: 0–1, 0–3, 0–5, 0–7). In all-cause EAD, significant increases were observed in both shorter lag (lag 0: 1.24% (95% CI: 0.92, 1.56)) and average lag 0–1 (0.64% (95% CI: 0.23, 1.06)). Increases of 1.88% and 1.48% in respiratory and neuropsychological EAD outcomes, respectively, were observed at lag 0 per 10 µg/m3 increase in PM2.5. While respiratory outcomes demonstrated significant average effects, no significant effect was observed for cardiovascular outcomes. Meanwhile, an inverse association was observed in cerebrovascular outcomes. In this study, we observed that effects of PM2.5 on all-cause, respiratory and neuropsychological EAD were acute, with average effects not exceeding 3 days prior to EAD onset.

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“…We used a cross-basis function of a natural cubic spline with 4 df [32] for temperature and 4 df for lag [25], with a maximum lagged effect up to 7 days based on previous studies [25,33]. We also included a natural cubic spline for date with 5 df per year to adjust for seasonality and long-term trends [32,34] and a natural cubic spline with 4 df for relative humidity [35–37] and particulate matter with an aerodynamic diameter of less than 2.5 µm (PM2.5) in the model [35,36,38,39] to control for potential confounders. We also adjusted for weekdays as the categorical variable [40] and weekends and holidays as the indicator variables [23,41,42].…”

Section: Methodsmentioning

confidence: 99%

Effects of high ambient temperature on ambulance dispatches in different age groups in Fukuoka, Japan

Kotani

Ueda

Seposo

et al. 2018

Global Health Action

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Background: The elderly population has been the primary target of intervention to prevent heat-related illnesses. According to the literature, the highest risks have been observed among the elderly in the temperature–mortality relationship. However, findings regarding the temperature–morbidity relationship are inconsistent. Objectives: This study aimed to examine the association of temperature with ambulance dispatches due to acute illnesses, stratified by age group. Specifically, we explored the optimum temperature, at which the relative health risks were found to be the lowest, and quantified the health risk associated with higher temperatures among different age groups. Methods: We used the data for ambulance dispatches in Fukuoka, Japan, during May and September from 2005 to 2012. The data were grouped according to age in 20-year increments. We explored the pattern of the association of ambulance dispatches with temperature using a smoothing spline curve to identify the optimum temperature for each age group. Then, we applied a distributed lag nonlinear model to estimate the risks of the 85th–95th percentile temperature relative to the overall optimum temperature, for each age group. Results: The relative risk of ambulance dispatches at the 85th and 95th percentile temperature for all ages was 1.08 [95% confidence interval (CI): 1.05, 1.12] and 1.12 (95% CI: 1.08, 1.16), respectively. In comparison, among age groups, the optimum temperature was observed as 25.0°C, 23.2°C, and 25.3°C for those aged 0–19, 60–79, and ≥80, respectively. The optimum temperature could not be determined for those aged 20–39 and 40–59. The relative risks of high temperature tended to be higher for those aged 20–39 and 40–59 than those for other age groups. Conclusions: We did not find any definite difference in the effect of high temperature on ambulance dispatches for different age groups. However, more measures should be taken for younger and middle-aged people to avoid heat-related illnesses.

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Short-term exposure to ambient particulate matter and emergency ambulance dispatch for acute illness in Japan

Cited by 21 publications

References 43 publications

Cardiovascular and respiratory emergency dispatch due to short-term exposure to ambient PM10 in Dezful, Iran

Cardiovascular and respiratory emergency dispatch due to short-term exposure to ambient PM10 in Dezful, Iran

Acute Effects of Ambient PM2.5 on All-Cause and Cause-Specific Emergency Ambulance Dispatches in Japan

Effects of high ambient temperature on ambulance dispatches in different age groups in Fukuoka, Japan

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