Effects of extreme temperature on respiratory diseases in Lanzhou, a temperate climate city of China

Feng, Fengliu; Ma, Yanhui; Zhang, Yifan; Shen, Jian; Wang, Hang; Cheng, Bowen; Jiao, Haoran

doi:10.1007/s11356-021-14169-x

Cited by 30 publications

(26 citation statements)

References 50 publications

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“…We further performed some analysis stratified by gender and age, finding the increased effect of low temperature on the risk of TB transmission in both male and female groups, showing significantly higher sensitivity and cumulative effect in male group than in female group, which is consistent with the study of Feng et al ( 2021 ). High temperature brings about a protective effect on TB transmission in male group, while for female group, temperature exceeding 20 °C with a lag 21 days could be a risk factor for TB transmission (see Fig.…”

Section: Discussionsupporting

confidence: 88%

“…Studies have demonstrated that abnormal changes in climate can lead to significant variations in the incidence and geographical distribution of infectious diseases, accompanied with serious adverse effects on human health. Due to the diversity in the natural environment, ecological characteristics, meteorological types, population immunity, and other social factors, the impact of meteorological factors on diseases from different studies also varied (Li et al 2021 ; Chen et al 2021 ; Maharjan et al 2021 ; Kirolos et al 2021 ; Desikan et al 2019 ; Onozuka and Hagihara 2015 ; Allen and Sheridan 2018 ; Feng et al 2021 ; Kim et al 2019 ). The incidence of TB in Kashgar city is high.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China

Zheng

Emam²,

Liu

et al. 2022

Environ Sci Pollut Res

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The aim of this study was to explore the effect of temperature on tuberculosis (TB) incidence using the distributed lag non-linear model (DLNM) from 2017 to 2021 in Kashgar city, the region with higher TB incidence than national levels, and assist public health prevention and control measures. From January 2017 to December 2021, a total of 8730 cases of TB were reported, with the higher incidence of male than that of female. When temperature was below 1 °C, it was significantly correlated with TB incidence compared to the median observed temperature (15 °C) at lag 7, 14, and 21, and lower temperatures showed larger RR (relative risk) values. High temperature produced a protective effect on TB transmission, and higher temperature from 16 to 31 °C has lower RR. In discussion stratified by gender, the maximum RRs were achieved for both male group and female group at − 15 °C with lag 21, reporting 4.28 and 2.02, respectively. At high temperature (higher than 20 °C), the RR value of developing TB for female group was significantly larger than 1. In discussion stratified by age, the maximum RRs were achieved for all age groups (≤ 35, 36–64, ≥ 65) at − 15 °C with lag 21, reporting 3.20, 2.07, and 3.45, respectively. When the temperature was higher than 20 °C, the RR of the 36–64-year-old group and the ≥ 65-year-old group was significantly larger than 1 at lag 21, while significantly smaller than 1 for cumulative RR at lag 21, reporting 0.11, 95% confidence interval (CI) (0.01, 0.83) and 0.06, 95% CI (0.01, 0.44), respectively. In conclusion, low temperature, especially in extreme level, acts as a high-risk factor inducing TB transmission in Kashgar city. Males exhibit a significantly higher RR of developing TB at low temperature than female, as well as the elderly group in contrast to the young or middle-aged groups. High temperature has a protective effect on TB transmission in the total population, but female and middle-aged and elderly groups are also required to be alert to the delayed RR induced by it.

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Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China

Zheng

Emam²,

Liu

et al. 2022

Environ Sci Pollut Res

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“…We modeled the temperature exposure–response with a natural cubic spline with 4 degrees of freedom (df) and the lag-response with a natural cubic spline with 3 df in the log scale. We set a maximum lag of 30 days to explore the long delay of the effects because the effects of cold temperatures could last about 2–3 weeks with no substantial effects after more than 1 month [ 29 ], which was consistent with previous studies [ 8 , 11 , 30 ]. Although the effects of hot temperatures were more acute, the potential morbidity displacement by harvesting effects of high temperatures should be noticed [ 30 ].…”

Section: Methodsmentioning

confidence: 62%

“…We set a maximum lag of 30 days to explore the long delay of the effects because the effects of cold temperatures could last about 2–3 weeks with no substantial effects after more than 1 month [ 29 ], which was consistent with previous studies [ 8 , 11 , 30 ]. Although the effects of hot temperatures were more acute, the potential morbidity displacement by harvesting effects of high temperatures should be noticed [ 30 ]. Moreover, the possible delayed admission time should be considered because our study focused on hospitalizations for asthma rather than outpatient hospital visits or emergency department visits.…”

Section: Methodsmentioning

confidence: 62%

Associations between ambient temperature and adult asthma hospitalizations in Beijing, China: a time-stratified case-crossover study

et al. 2022

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Background Studies on the associations between ambient temperature and asthma hospitalizations are limited, and the results are controversial. We aimed to assess the short-term effects of ambient temperature on the risk of asthma hospitalizations and quantify the hospitalization burdens of asthma attributable to non-optimal temperature in adults in Beijing, China. Methods We collected daily asthma hospitalizations, meteorological factors and air quality data in Beijing from 2012 to 2015. We applied a time-stratified case-crossover design and fitted a distributed lag non-linear model with a conditional quasi-Poisson regression to explore the association between ambient temperature and adult asthma hospitalizations. The effect modifications of these associations by gender and age were assessed by stratified analyses. We also computed the attributable fractions and numbers with 95% empirical confidence intervals (eCI) of asthma hospitalizations due to extreme and moderate temperatures. Results From 2012 to 2015, we identified a total of 18,500 hospitalizations for asthma among adult residents in Beijing, China. Compared with the optimal temperature (22 °C), the cumulative relative risk (CRR) over lag 0–30 days was 2.32 with a 95% confidence interval (CI) of 1.57–3.42 for extreme cold corresponding to the 2.5th percentile (− 6.5 °C) of temperature distribution and 2.04 (95% CI 1.52–2.74) for extreme heat corresponding to the 97.5th percentile (29 °C) of temperature distribution. 29.1% (95% eCI 17.5–38.0%) of adult asthma hospitalizations was attributable to non-optimum temperatures. Moderate cold temperatures yielded most of the burdens, with an attributable fraction of 20.3% (95% eCI 9.1–28.7%). The temperature-related risks of asthma hospitalizations were more prominent in females and younger people (19–64 years old). Conclusions There was a U-shaped association between ambient temperature and the risk of adult asthma hospitalizations in Beijing, China. Females and younger patients were more vulnerable to the effects of non-optimum temperatures. Most of the burden was attributable to moderate cold. Our findings may uncover the potential impact of climate changes on asthma exacerbations.

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“…Distributed lag non-linear model (DLNM) was applied to examine the non-linear and delayed effects of exposure on the outcome using natural cubic splines function with 4 degrees of freedom for temperature and lag days ( 11 , 14 ). The delayed effects (lag effects) of temperature on respiratory diseases have been shown in literature and usually last for a week ( 22 , 23 ). Therefore, we chose the lag time from 0 to 7 days.…”

Section: Methodsmentioning

confidence: 99%

The Association Between Ambient Temperatures and Hospital Admissions Due to Respiratory Diseases in the Capital City of Vietnam

Tran

Ngo

et al. 2022

Front. Public Health

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This study aimed to examine the short-term effects of ambient temperature on hospital admissions due to respiratory diseases among Hanoi residents. We collected 34,653 hospital admissions for 365 days (November 1, 2017, to November 31, 2018) from two hospitals in Hanoi. A quasi-Poisson regression model with time series analysis was used to explore the temperature-health outcome relationship's overall pattern. The non-linear curve indicated the temperatures with the lowest risk range from 22 degrees (Celcius) to 25 degrees (Celcius). On average, cold temperatures showed a higher risk than hot temperatures across all genders and age groups. Hospital admissions risk was highest at 13 degrees (Celcius) (RR = 1.39; 95% CI = 1.26–1.54) for cold effects and at 33 degrees (Celcius) (RR = 1.21, 95% CI = 1.04–1.39) for the hot effects. Temporal pattern analysis showed that the most effect on respiratory diseases occurred at a lag of 0 days for hot effect and at a lag of 1 day for cold effect. The risk of changing temperature among women and people over 5 years old was higher than other groups. Our results suggest that the risk of respiratory admissions was greatest when the temperature was low. Public health prevention programs should be enhanced to improve public awareness about the health risks of temperature changes, especially respiratory diseases risked by low temperatures.

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Effects of extreme temperature on respiratory diseases in Lanzhou, a temperate climate city of China

Cited by 30 publications

References 50 publications

Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China

Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China

Associations between ambient temperature and adult asthma hospitalizations in Beijing, China: a time-stratified case-crossover study

The Association Between Ambient Temperatures and Hospital Admissions Due to Respiratory Diseases in the Capital City of Vietnam

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