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

Environmental Health and Preventive Medicine

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[1] 0000 0001 1498 685X, grid.411036.1, Department of Obstetrics and Gynecology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran;0000 0004 0612 5912, grid.412505.7, Occupational Health Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran;0000 0004 0612 5912, grid.412505.7, Department of Occupational Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran;0000 0004 0612 7950, grid.46072.37, Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran;

关键词: Environmental exposure;    Heat stress;    Premature birth;    Temperature;   

DOI  :  10.1186/s12199-018-0760-x

来源: publisher

【 摘 要 】

ObjectivesMost of the studies on the effect of heat stress on preterm birth (PTB) are conducted in temperate climates. Evidence on this effect in hot and arid countries with low and middle income is limited. This paper describes the short-term effect of exposure to the hot and cold environment on a daily number of PTB in Iran.MethodsThe daily number of PTB was obtained from all hospitals of the city. Meteorological and air pollution data from 2011 to 2017 were obtained from a metrological station in the city. A semi-parametric generalized additive model following a quasi-Poisson distribution with the distributed lag non-linear model was selected as a modeling framework for time-series analysis to simultaneously model the short-term and lagged effect of heat stress on PTB in the Sabzevar city.ResultsThe minimum and maximum daily temperature were − 11.2 and 45.4 °C respectively. The highest risk estimate at extreme cold temperature was found for apparent temperature (relative risk (RR) 1.83; 95% CI 1.61: 2.09). This pattern was seen for both models. For extreme hot temperatures, the model with mean temperature showed the highest risk increase for both the main model and air pollution adjusted model (RR 1.36; 95% CI 1.25: 1.49). The lowest risk estimate in extremely cold conditions was found in the model with mean temperature. However, for extremely hot temperature conditions, the lowest risk estimate was found for both maximum and apparent temperature.ConclusionObstetricians working in semi-arid areas should be aware of the influence of environmental extreme temperature on the incidence of PTB.

【 授权许可】

CC BY