Thermal comfort and mortality in a dry region of Iran, Kerman; a 12-year time series analysis

Aboubakri, Omid; Khanjani, Narges; Jahani, Yunes; Bakhtiari, Bahram

doi:10.1007/s00704-019-02977-8

Cited by 19 publications

(10 citation statements)

References 57 publications

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“…The weather and pollutants data were collected by national weather organization and department of environment. In this study, daily mean temperature was used as the predictor of HAs because many study showed that it is better predictor than minimum and maximum temperature for mortality or disability (Aboubakri et al 2020a;Aboubakri et al 2020b;Xu et al 2018;Xu and Tong 2017). Number of missing data for HAs, mean temperature and humidity was negligible (lower than 5 percent).…”

Section: Datamentioning

confidence: 99%

Heat and cold-related morbidity risk in north-east of Iran: a time-stratified case crossover design

Shoraka

Aboubakri

Ballester

et al. 2021

Environ Sci Pollut Res

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Background: This study aimed to estimate hospitalization risk/number attributed to air extreme temperatures using time-stratified case crossover study and distributed lag non-linear model in a region of Iran during 2015-2019. Methods:A time-stratified case crossover design based on aggregated exposure data was used in this study. In order to have no overlap bias in the estimations, a fixed and disjointed window by using one-month strata was used in the design. A conditional Poisson regression model allowing for over dispersion (Quasi-Poisson) was applied into Distributed Lag Non-linear Model (DLNM).Different approaches were applied to estimate Optimum Temperature (OT). In the model, the interaction effect between temperature and humidity was assessed to see if the impact of heat or cold on Hospital Admissions (HAs) are different between different levels of humidity. Results:The cumulative effect of heat during 21 days was not significant and it was the cold that had significant cumulative adverse effect on all groups. While the number of HAs attributed to any ranges of heat, including medium, high, extreme and even all values were negligible, but a large number was attributable to cold values; about 10000 HAs were attributable to all values of cold temperature, of which about 9000 were attributed to medium range and about 1000 and less than 500 were attributed to high and extreme values of cold, respectively. Conclusion:This study highlights the need for interventions in cold seasons by policymakers. The results inform researchers as well as policy makers to address both men and women and elderly when any plan or preventive program is developed in the area under study.

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Section: Datamentioning

confidence: 99%

Heat and cold-related morbidity risk in north-east of Iran: a time-stratified case crossover design

Shoraka

Aboubakri

Ballester

et al. 2021

Environ Sci Pollut Res

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“…Golden et al [34], in a study of HWs in Phoenix (USA), point out that the highest incidence of medical occurrences and mortality during HW days are associated with excess Ta and the thermal discomfort caused by the HW. Aboubakri et al [35] found a higher correlation for mortality in heat stress than cold in Iran's PET, PMV, and SET indices. In the Iberian Peninsula, Fares [11] used universal thermal climate index (UTCI), net effective temperature (NET), and apparent temperature (TA) to assess hospitalizations for CVDs and noted that low Ta values were a risk factor regardless of the index used.…”

Section: Introductionmentioning

confidence: 98%

Extreme Weather Conditions and Cardiovascular Hospitalizations in Southern Brazil

et al. 2021

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This research concerns the identification of a pattern between the occurrence of extreme weather conditions, such as cold waves and heat waves, and hospitalization for cardiovascular diseases (CVDs), in the University Hospital of Santa Maria (HUSM) in southern Brazil between 2012 and 2017. The research employed the field experiment method to measure the biometeorological parameters associated with hospital admissions in different seasons, such as during extreme weather conditions such as a cold wave (CW) or a heat wave (HW), using five thermal comfort indices: physiologically equivalent temperature (PET), new standard effective temperature (SET), predicted mean vote (PMV), effective temperatures (ET), and effective temperature with wind (ETW). The hospitalizations were recorded as 0.775 and 0.726 admissions per day for the winter and entire study periods, respectively. The records for extreme events showed higher admission rates than those on average days. The results also suggest that emergency hospitalizations for heart diseases during extreme weather events occurred predominantly on days with thermal discomfort. Furthermore, there was a particularly high risk of hospitalization for up to seven days after the end of the CW. Further analyses showed that cardiovascular hospitalizations were higher in winter than in summer, suggesting that CWs are more life threatening in wintertime.

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“…In other words, it can be defined as the situation where there is no thermal discomfort, between uncomfortable heat and uncomfortable cold (Parsons 2003 ). It has been reported that uncomfortable conditions cause adverse effects in many social, economic, physiological, and health conditions of people (Nastos and Matzarakis 2012 ; Aboubakri et al 2020 ; Konefal et al 2020 ). Many studies have been conducted on thermal indices to determine the thermal sensations of people in the atmospheric environment (Driscoll 1992 ; Epstein and Moran 2006 ; Parsons 2014 ; de Freitas and Grigorieva 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the relationship between thermal comfort conditions and respiratory diseases in Amasya City, Turkey

Çağlak

Matzarakis

2023

J Public Health (Berl.)

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Aim Studies examining the relationship between thermal comfort conditions—the state of feeling insulated against atmospheric factors in the environment—and diseases have been very limited. In Turkey, which is in the transition zone of air masses in middle latitudes, thermal comfort conditions change frequently due to sudden weather changes. This study was conducted to examine the relationship between thermal comfort conditions and respiratory diseases in Amasya, an exemplary Turkish city in the Black Sea Region of Turkey. Subject and methods To determine the thermal comfort conditions in the study between 2017 and 2019, the PET (physiologically equivalent temperature) index obtained from the RayMan model was used for data including hourly air temperature (°C), relative humidity (%), wind velocity (m/s), and cloud cover (octa). Daily air temperature data were also obtained. The relationship between PET values and air temperature and respiratory disease hospital admissions was analyzed by Pearson correlation analysis and linear regression analysis. Results The results revealed a very high negative correlation between both thermal comfort conditions (PET) and air temperature and respiratory diseases ( p < 0.000). The results show that with an increase of 1 °C in thermal comfort conditions (PET), hospital admissions due to respiratory diseases will decrease by approximately 64 to 67 patients. It is predicted that the number of patients will decrease by approximately 89 to 94 with an increase of 1 °C in air temperature. Conclusion These findings can be informative and serve as guidance for decision-makers in efforts to protect public health, for preventive medicine studies, and for studies on the effects of climate change on human health.

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Thermal comfort and mortality in a dry region of Iran, Kerman; a 12-year time series analysis

Cited by 19 publications

References 57 publications

Heat and cold-related morbidity risk in north-east of Iran: a time-stratified case crossover design

Heat and cold-related morbidity risk in north-east of Iran: a time-stratified case crossover design

Extreme Weather Conditions and Cardiovascular Hospitalizations in Southern Brazil

Evaluation of the relationship between thermal comfort conditions and respiratory diseases in Amasya City, Turkey

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