scholarly journals Association of Short-Term Exposure to Meteorological Factors and Risk of Hand, Foot, and Mouth Disease: A Systematic Review and Meta-Analysis

Author(s):  
Zhihui Liu ◽  
Yongna Meng ◽  
Hao Xiang ◽  
Yuanan Lu ◽  
Suyang Liu

(1) Background: Inconsistencies were observed in studies on the relationship between short-term exposure to meteorological factors and the risk of hand, foot, and mouth disease (HFMD). This systematic review and meta-analysis was aimed to assess the overall effects of meteorological factors on the incidence of HFMD to help clarify these inconsistencies and serve as a piece of evidence for policy makers to determine relevant risk factors. (2) Methods: Articles published as of 24 October 2020, were searched in the four databases, namely, PubMed, Web of Science, Embase, and MEDLINE. We applied a meta-analysis to assess the impact of ambient temperature, relative humidity, rainfall, wind speed, and sunshine duration on the incidence of HFMD. We conducted subgroup analyses by exposure metrics, exposure time resolution, regional climate, national income level, gender, and age as a way to seek the source of heterogeneity. (3) Results: Screening by the given inclusion and exclusion criteria, a total of 28 studies were included in the analysis. We observed that the incidence of HFMD based on the single-day lag model is significantly associated with ambient temperature, relative humidity, rainfall, and wind speed. In the cumulative lag model, ambient temperature and relative humidity significantly increased the incidence of HFMD as well. Subgroup analysis showed that extremely high temperature and relative humidity significantly increased the risk of HFMD. Temperate regions, high-income countries, and children under five years old are major risk factors for HFMD. (4) Conclusions: Our results suggest that various meteorological factors can increase the incidence of HFMD. Therefore, the general public, especially susceptible populations, should pay close attention to weather changes and take protective measures in advance.

BMJ ◽  
2015 ◽  
pp. h1295 ◽  
Author(s):  
Anoop S V Shah ◽  
Kuan Ken Lee ◽  
David A McAllister ◽  
Amanda Hunter ◽  
Harish Nair ◽  
...  

2019 ◽  
Vol 177 ◽  
pp. 108606 ◽  
Author(s):  
Hannah Roberts ◽  
Caspar van Lissa ◽  
Paulien Hagedoorn ◽  
Ian Kellar ◽  
Marco Helbich

2020 ◽  
Vol 143 ◽  
pp. 105901 ◽  
Author(s):  
Kuan Ken Lee ◽  
Nicholas Spath ◽  
Mark R. Miller ◽  
Nicholas L. Mills ◽  
Anoop S.V. Shah

Author(s):  
Alan da Silveira da Silveira Fleck ◽  
Margaux L. Sadoine ◽  
Stéphane Buteau ◽  
Eva Suarthana ◽  
Maximilien Debia ◽  
...  

Background: No study has compared the respiratory effects of environmental and occupational particulate exposure in healthy adults. Methods: We estimated, by a systematic review and meta-analysis, the associations between short term exposures to fine particles (PM2.5 and PM4) and certain parameters of lung function (FEV1 and FVC) in healthy adults. Results: In total, 33 and 14 studies were included in the qualitative synthesis and meta-analyses, respectively. In environmental studies, a 10 µg/m3 increase in PM2.5 was associated with an FEV1 reduction of 7.63 mL (95% CI: −10.62 to −4.63 mL). In occupational studies, an increase of 10 µg/m3 in PM4 was associated with an FEV1 reduction of 0.87 mL (95% CI: −1.36 to −0.37 mL). Similar results were observed with FVC. Conclusions: Both occupational and environmental short-term exposures to fine particles are associated with reductions in FEV1 and FVC in healthy adults.


2020 ◽  
Author(s):  
ling xie ◽  
Ruifang Huang ◽  
Hongwei Wang ◽  
Zhengqing Xiao

Abstract [Objectives]: The study mainly aims to depict the epidemiological characteristics of hand, foot and mouth disease (HFMD) in Xinjiang, China and to evaluate the effects of meteorological factors on the incidence of HFMD and the spatial-temporal heterogeneity of HFMD in Xinjiang under the influence of meteorological factors.[Methods]: With the data from the national surveillance data of HFMD and meteorological parameters in the study area from 2008 to 2016. We first employed GeoDetector Model to examine the effects of meteorological factors on HFMD incidence in Xinjiang, China and to test the spatial-temporal heterogeneity of HFMD risk, and then the spatial autocorrelation was applied to examine the temporal-spatial pattern of HFMD.[Results]: From 2008 to 2016, the HFMD distribution showed a distinct seasonal pattern and HFMD cases typically occurred between May and July, peaking in June, in Xinjiang. The relative humidity, precipitation, air pressure and temperature had more influence than other risk factors on HFMD incidence with explanatory powers of 0.30, 0.29, 0.29 and 0.21(p<0.000), respectively. The interactive effect of any two risk factors would enhance the risk of HFMD and there was a nonlinear enhancement between any two risk factors interactive effect. The spatial relative risks in Northern Xinjiang were higher than in Southern Xinjiang. Global spatial autocorrelation analysis showed a fluctuating trend over the years, the spatial dependency on the incidence of HFMD in 2008, 2010, 2012, 2014 and 2015, the negative spatial autocorrelation in 2009 and a random distribution pattern in 2011, 2013 and 2016.[Conclusion]: Our findings show that the risk of HFMD in Xinjiang showed significant spatiotemporal heterogeneity. The monthly average relative humidity, monthly average precipitation, monthly average air pressure and monthly average temperature factors might have stronger relationships on the HFMD incidence in Xinjiang, China, compared with other factors. The differences in climate and latitude between Southern and Northern Xinjiang and their arid and semi-arid geographical environment are part of the reasons why the distribution of HFMD in Xinjiang is different from other temperate continental climatic zones. These associations draw attention to climate-related health issues and will help in establishing accurate spatiotemporal prevention of HFMD in Xinjiang, China.


2021 ◽  
Author(s):  
Xuping Song ◽  
Liangzhen Jiang ◽  
Dongdong Zhang ◽  
Xinyi Wang ◽  
Yan Ma ◽  
...  

Abstract The relationship between diabetes mellitus and short-term exposure to extreme temperatures remains controversial. A systematic review and meta-analysis were performed to assess the association between extreme temperatures and diabetes mellitus morbidity and mortality. PubMed, Embase, the Cochrane Library, Web of Science and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) were searched since inception to January 1, 2019, and updated on November 17, 2020. The results were combined using random effects model and reported as relative risk (RR) with 95% confidence interval (CI). 32 studies met the included criteria. (1) Both heat and cold exposures have impact on diabetes. (2) For heat exposure, the subgroup analysis revealed that the effect on diabetes mortality (RR = 1.139, 95% CI: 1.089–1.192) was higher than morbidity (RR = 1.012, 95% CI: 1.004–1.019). (3) With the increase of definition threshold, the impact of heat exposure on diabetes rised. (4) A stronger association between heat exposure and diabetes was observed in the elderly (≥ 60 years old) (RR = 1.040, 95% CI: 1.017–1.064). In conclusion, both short-term exposure to heat and cold temperatures have impact on diabetes. The elderly is the vulnerable population of diabetes exposure to heat temperature. Developing definitions of heatwaves at the regional level are suggested.


2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Zhiping Niu ◽  
Feifei Liu ◽  
Baojing Li ◽  
Na Li ◽  
Hongmei Yu ◽  
...  

Abstract Background Decreased heart rate variability (HRV) is a predictor of autonomic system dysfunction, and is considered as a potential mechanism of increased risk of cardiovascular disease (CVD) induced by exposure to particulate matter less than 2.5 μm in diameter (PM2.5). Previous studies have suggested that exposure to PM2.5 may lead to decreased HRV levels, but the results remain inconsistent. Methods An updated systematic review and meta-analysis of panel studies till November 1, 2019 was conducted to evaluate the acute effect of exposure to ambient PM2.5 on HRV. We searched electronic databases (PubMed, Web of Science, and Embase) to identify panel studies reporting the associations between exposure to PM2.5 and the four indicators of HRV (standard deviation of all normal-to-normal intervals (SDNN), root mean square of successive differences in adjacent normal-to-normal intervals (rMSSD), high frequency power (HF), and low frequency power (LF)). Random-effects model was used to calculate the pooled effect estimates. Results A total of 33 panel studies were included in our meta-analysis, with 16 studies conducted in North America, 12 studies in Asia, and 5 studies in Europe. The pooled results showed a 10 μg/m3 increase in PM2.5 exposure which was significantly associated with a − 0.92% change in SDNN (95% confidence intervals (95%CI) − 1.26%, − 0.59%), − 1.47% change in rMSSD (95%CI − 2.17%, − 0.77%), − 2.17% change in HF (95%CI − 3.24%, − 1.10%), and − 1.52% change in LF (95%CI − 2.50%, − 0.54%), respectively. Overall, subgroup analysis suggested that short-term exposure to PM2.5 was associated with lower HRV levels in Asians, healthy population, and those aged ≥ 40 years. Conclusion Short-term exposure to PM2.5 was associated with decreased HRV levels. Future studies are warranted to clarity the exact mechanism of exposure to PM2.5 on the cardiovascular system through disturbance of autonomic nervous function.


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