ObjectiveAdverse health effects of fine particles (particulate matter2.5) have been well documented by a series of studies. However, evidences on the impacts of black carbon (BC) or elemental carbon (EC) on health are limited. The objectives were (1) to explored the effects of BC and EC on cardiovascular and respiratory morbidity and mortality, and (2) to verified the reliability of the meta-analysis by drawing p value plots.DesignThe systematic review and meta-analysis using adapted Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach and p value plots approach.Data sourcesPubMed, Embase and Web of Science were searched from inception to 19 July 2021.Eligibility criteria for selecting studiesTime series, case cross-over and cohort studies that evaluated the associations between BC/EC on cardiovascular or respiratory morbidity or mortality were included.Data extraction and synthesisTwo reviewers independently selected studies, extracted data and assessed risk of bias. Outcomes were analysed via a random effects model and reported as relative risk (RR) with 95% CI. The certainty of evidences was assessed by adapted GRADE. The reliabilities of meta-analyses were analysed by p value plots.ResultsSeventy studies met our inclusion criteria. (1) Short-term exposure to BC/EC was associated with 1.6% (95% CI 0.4% to 2.8%) increase in cardiovascular diseases per 1 µg/m3 in the elderly; (2) Long-term exposure to BC/EC was associated with 6.8% (95% CI 0.4% to 13.5%) increase in cardiovascular diseases and (3) The p value plot indicated that the association between BC/EC and respiratory diseases was consistent with randomness.ConclusionsBoth short-term and long-term exposures to BC/EC were related with cardiovascular diseases. However, the impact of BC/EC on respiratory diseases did not present consistent evidence and further investigations are required.PROSPERO registration numberCRD42020186244.
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.
Air pollution and global temperature change are expected to affect infectious diseases. Yet to date overview of systematic reviews assessing the exposure risk of air pollutants and temperature on infectious diseases is unavailable. PubMed, Embase, the Cochrane Library, Web of Science, and the Cumulative Index to Nursing and Allied Health Literature were searched. Systematic reviews and metaanalyses investigated the exposure risk of pollutants or temperature on infectious diseases were included. Two investigators screened literature, extracted data and performed the risk of bias assessments independently. A total of 23 articles met the inclusion criteria, which 3 (13%) were "low" quality and 20 (87%) were "critically low" quality. COVID-19 morbidity was associated with long-term exposure PM 2.5 (RR = 1.056 per 1μg/m 3 , 95% CI: 1.039-1.072) and NO 2 (RR = 1.042 per 1 μg/m 3 , 95% CI: 1.017-1.068). In addition, for each 1°C increase in temperature, the risk of dengue fever morbidity increased 13% (RR = 1.130 per 1°C, 95% CI: 1.120-1.150), infectious diarrhea morbidity increased 8% (RR =1.080 per 1°C, 95% CI: 1.050-1.200), and hand, foot and mouth disease (HFMD) morbidity increased 5% (RR = 1.050 per 1 °C, 95% CI: 1.020-1.080). In conclusion, PM 2.5 and NO 2 increased the risk of COVID-19 and temperatures were associated with dengue, infectious diarrhoea and HFMD morbidity. Moreover, the exposure risk of temperature on COVID-19 need to be further explored.
The relationship between diabetes mellitus and short-term exposure to extreme temperatures remains controversial. A systematic review and metaanalysis 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% con dence 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 de nition 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 de nitions of heatwaves at the regional level are suggested.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.