Environmental extreme temperature and daily preterm birth in Sabzevar, Iran: a time-series analysis

Mohammadi, Danial; Naghshineh, Elham; Sarsangi, Alireza; Sakhvidi, Mohammad Javad Zare

doi:10.1186/s12199-018-0760-x

Cited by 31 publications

(32 citation statements)

References 33 publications

(49 reference statements)

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“…For example, a study from Guangzhou, China reported that extreme heat and extreme cold during the last 4 weeks of pregnancy increased the risk of preterm birth by 17.9% and 10%, respectively [ 51 ]. Likewise, in Sabzevar, Iran, both very hot and very cold temperatures were associated with an increase in PTL [ 52 ]. Li et al [ 53 ], in Brisbane, showed that during the years under study (1993–2013), the effect of low temperature was stronger than the effect of high temperature for preterm delivery [ 53 ].…”

Section: Discussionmentioning

confidence: 99%

Universal Thermal Climate Index (UTCI) and adverse pregnancy outcomes in Ahvaz, Iran

et al. 2022

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Background Climate change may jeopardize the health of mothers and their offspring. There are few studies on the association between increasing temperature and pregnancy outcomes. The aim of this study was to investigate the relation between Universal Thermal Climate Index (UTCI) and adverse pregnancy outcomes including stillbirth, low birth weight (LBW), preterm labor (PTL), spontaneous abortion (SA), preeclampsia and hypertension in Ahvaz, Iran. Methods Distributed Lag Non-linear Models (DLNM) combined with quasi-Poisson regression were used to research the effect of UTCI on adverse pregnancy outcomes. The effect of time trend, air pollutants (NO2, SO2 and PM10), and weekdays were adjusted. Results The results showed that the low values of UTCI index (11.6 °C, in lags 0–6, 0–13) caused significant increase in the risk of preterm labor. However, hot thermal stress (high UTCI) significantly increased the risk of stillbirth in lag 0–13. We did not observe any significant relation between UTCI and other pregnancy outcomes in this study. Conclusions It seems like both hot and cold weathers can be associated with adverse pregnancy outcomes.

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Section: Discussionmentioning

confidence: 99%

Universal Thermal Climate Index (UTCI) and adverse pregnancy outcomes in Ahvaz, Iran

et al. 2022

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“…Furthermore, studies calculated weekly, monthly, and trimesterspecific exposure temperatures based on daily temperature measurements. Nine studies employed apparent temperature (combined effect of air temperature and relative humidity) to identify the exposure effects on elevated ambient temperatures on pregnant women and neonates [11,12,[32][33][34][35][36][37][38]. Twelve studies examined the effects of heatwaves/extreme heat events on maternal, foetal, and neonatal outcomes [6,32,[38][39][40][41][42][43][44][45][46][47].…”

Section: The Magnitude Characteristics and Trends Of Research On Elev...mentioning

confidence: 99%

Effect of Elevated Ambient Temperature on Maternal, Foetal, and Neonatal Outcomes: A Scoping Review

Dalugoda

Kuppa

Phung

et al. 2022

IJERPH

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This scoping review provides an overview of the published literature, identifies research gaps, and summarises the current evidence of the association between elevated ambient temperature exposure during pregnancy and adverse maternal, foetal, and neonatal outcomes. Following the PRISMA extension for scoping reviews reporting guidelines, a systematic search was conducted on CINAHL, PubMed, and Embase andincluded original articles published in the English language from 2015 to 2020 with no geographical limitations. A total of seventy-five studies were included, conducted across twenty-four countries, with a majority in the USA (n = 23) and China (n = 13). Study designs, temperature metrics, and exposure windows varied considerably across studies. Of the eighteenheat-associated adverse maternal, foetal, and neonatal outcomes identified, pre-term birth was the most common outcome (n = 30), followed by low birth weight (n = 11), stillbirth (n = 9), andgestational diabetes mellitus (n = 8). Overall, papers reported an increased risk with elevated temperature exposures. Less attention has been paid to relationships between heat and the diverse range of other adverse outcomes such as congenital anomalies and neonatal mortality. Further research on these less-reported outcomes is needed to improve understanding andthe effect size of these relationships with elevated temperatures, which we know will be exacerbated by climate change.

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“…However, the risk of infectious diseases has always been affected by multiple factors, such as climate, the regional economy and environmental health. The impacts of meteorological factors on diseases, especially infectious diseases, are of particular current concern to researchers, and relevant studies have been comprehensive [5][6][7][8][9][10]. Numerous studies have concluded that BD transmission might be influenced by meteorological factors [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors

Meng

Liu

Xie

et al. 2019

Environ Health Prev Med

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Background: This study aimed to analyse the epidemiological characteristics of bacillary dysentery (BD) caused by Shigella in Chongqing, China, and to establish incidence prediction models based on the correlation between meteorological factors and BD, thus providing a scientific basis for the prevention and control of BD.Methods: In this study, descriptive methods were employed to investigate the epidemiological distribution of BD. The Boruta algorithm was used to estimate the correlation between meteorological factors and BD incidence. The genetic algorithm (GA) combined with support vector regression (SVR) was used to establish the prediction models for BD incidence. Results: In total, 68,855 cases of BD were included. The incidence declined from 36.312/100,000 to 23.613/100,000, with an obvious seasonal peak from May to October. Males were more predisposed to the infection than females (the ratio was 1.118:1). Children < 5 years old comprised the highest incidence (295.892/100,000) among all age categories, and pre-education children comprised the highest proportion (34,658 cases, 50.335%) among all occupational categories. Eight important meteorological factors, including the highest temperature, average temperature, average air pressure, precipitation and sunshine, were correlated with the monthly incidence of BD. The obtained mean absolute percent error (MAPE), mean squared error (MSE) and squared correlation coefficient (R 2 ) of GA_SVR_MONTH values were 0.087, 0.101 and 0.922, respectively.Conclusion: From 2009 to 2016, BD incidence in Chongqing was still high, especially in the main urban areas and among the male and pre-education children populations. Eight meteorological factors, including temperature, air pressure, precipitation and sunshine, were the most important correlative feature sets of BD incidence. Moreover, BD incidence prediction models based on meteorological factors had better prediction accuracies. The findings in this study could provide a panorama of BD in Chongqing and offer a useful approach for predicting the incidence of infectious disease. Furthermore, this information could be used to improve current interventions and public health planning.

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Environmental extreme temperature and daily preterm birth in Sabzevar, Iran: a time-series analysis

Cited by 31 publications

References 33 publications

Universal Thermal Climate Index (UTCI) and adverse pregnancy outcomes in Ahvaz, Iran

Universal Thermal Climate Index (UTCI) and adverse pregnancy outcomes in Ahvaz, Iran

Effect of Elevated Ambient Temperature on Maternal, Foetal, and Neonatal Outcomes: A Scoping Review

Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors

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