Relationship of Meteorological and Air Pollution Parameters with Pneumonia in Elderly Patients

Tasci, Suleyman Serdar; Kavalcı, Cemil; Kayıpmaz, Afşin Emre

doi:10.1155/2018/4183203

Cited by 32 publications

(31 citation statements)

References 43 publications

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“…Unsafe drinking water and sanitation are important drivers of pneumonia 47 . Relative humidity was associated with a decrease in pneumonia incidence in this study which is in concordance with other studies 35,48 . Higher relative humidity decreases the survival of lipid-enveloped viruses such as influenza A, influenza b and Respiratory Syncytial Virus 49,50 .…”

Section: Discussionsupporting

confidence: 93%

Spatio-temporal patterns of pneumonia in Bhutan: A Bayesian analysis

Wangdi

Penjor²,

Tsheten

et al. 2021

Preprint

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Pneumonia is one of the top 10 diseases by morbity in Bhutan. This study aimed to investigate the spatial and temporal trends and risk factors of pneumonia in Bhutan. A multivariable Zero-inflated Poisson regression using a Bayesian Markov chain Monte Carlo simulation was undertaken to quantify associations of age, sex, rainfall, maximum temperature and relative humidity with monthly pneumonia incidence and identify underlying spatial structure of the data. Overall pneumonia incidence was 96.5 and 4.57 per 1,000 populations over nine years in people aged < 5 years and ≥ 5 years, respectively. Children < 5 years or being a female are more like to get pneumonia than ≥ 5 years and males. A 10mm increase in rainfall and 1°C increase in maximum temperature was associated with a 7.2% (95% (credible interval [CrI] 0.7%, 14.0%) and 28.6% (95% CrI 27.2%, 30.1%) increase in pneumonia cases. A 1% increase in relative humidity was associated with a decrease in the incidence of pneumonia by 8.6% (95% CrI 7.5%, 9.7%). There was no evidence of spatial clustering after accounting for the covariates. Seasonality and spatial heterogeneity can partly be explained by the association of pneumonia risk to climatic factors including rainfall, maximum temperature and relative humidity.

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Section: Discussionsupporting

confidence: 93%

Spatio-temporal patterns of pneumonia in Bhutan: A Bayesian analysis

Wangdi

Penjor²,

Tsheten

et al. 2021

Preprint

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“…After removing 835 studies during title and abstract screening, 103 were selected for full-text review, and 82 studies were excluded for the following reasons: reviews or letter (n = 4), different outcomes (n = 3), combined outcomes (n = 31), irrelevant studies (n = 10), not providing short-term effects (n = 3), not providing overall effects (n = 10), conducted in children (n = 1), unable to extract data (n = 1), and overlapping studies (n = 19). Finally, 21 studies were included for meta-analysis [9,10,[21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39].…”

Section: Resultsmentioning

confidence: 99%

Short-term exposure to air pollution and hospital admission for pneumonia: a systematic review and meta-analysis

et al. 2021

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Background Air pollution is a major issue that poses a health threat worldwide. Although several studies investigated the adverse effects of air pollution on various diseases, few have directly demonstrated the effects on pneumonia. Therefore, we performed a systematic review and meta-analysis on the associations between short-term exposure of air pollutants and hospital admission or emergency room (ER) visit for pneumonia. Methods A literature search was performed using PubMed, Embase, and Web of Science up to April 10, 2020. Pooled estimates were calculated as % increase with 95% confidence intervals using a random-effects model. A sensitivity analysis using the leave-one-out method and subgroup analysis by region were performed. Results A total of 21 studies were included in the analysis. Every 10 μg/m3 increment in PM2.5 and PM10 resulted in a 1.0% (95% CI: 0.5–1.5) and 0.4% (95% CI: 0.2–0.6) increase in hospital admission or ER visit for pneumonia, respectively. Every 1 ppm increase of CO and 10 ppb increase of NO2, SO2, and O3 was associated with 4.2% (95% CI: 0.6–7.9), 3.2% (95% CI: 1.3–5.1), 2.4% (95% CI: − 2.0-7.1), and 0.4% (95% CI: 0–0.8) increase in pneumonia-specific hospital admission or ER visit, respectively. Except for CO, the sensitivity analyses yielded similar results, demonstrating the robustness of the results. In a subgroup analysis by region, PM2.5 increased hospital admission or ER visit for pneumonia in East Asia but not in North America. Conclusion By combining the inconsistent findings of several studies, this study revealed the associations between short-term exposure of air pollutants and pneumonia-specific hospital admission or ER visit, especially for PM and NO2. Based on the results, stricter intervention policies regarding air pollution and programs for protecting human respiratory health should be implemented.

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“…Furthermore, published reports have shown that meteorological factors such as temperature and barometric pressure, have a negative influence on respiratory diseases[10,11]. A study conducted in Hong Kong demonstrated that per 1°C increase in wintertime was associated with 1.20% (95% CI, 1.08–1.32) increase for total respiratory diseases hospitalization and 1.41% (95% CI, 1.15–1.71) increase for COPD hospitalization[12].…”

Section: Introductionmentioning

confidence: 99%

Risk of temperature, humidity and concentrations of air pollutants on the hospitalization of AECOPD

et al. 2019

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AimTo investigate the effect of temperature, humidity and the concentration of ambient air pollution on the hospitalization of AECOPD.MethodHospitalization record was obtained from Shenyang Medical Insurance Bureau, concluding patient’s age, gender, income hospital time, outcome hospital; Generalized additive model was used to analyze the relationship between temperature, humidity, the concentration of ambient air pollution and the hospitalization of AECOPD.ResultThe effect of ozone on admission rate in male group was higher than that in female group. Ambient air pollution had a weak influence on age≤50 group. It was found that the optimal lag day for daily relative 40 humidity to age≤50 group, 5070 group was on lag5, lag4, lag4 and lag5, respectively.ConclusionAir pollution, relative humidity and temperature can increase the risk of admission for acute exacerbation of COPD, and in this process there was a lag effect.

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Relationship of Meteorological and Air Pollution Parameters with Pneumonia in Elderly Patients

Cited by 32 publications

References 43 publications

Spatio-temporal patterns of pneumonia in Bhutan: A Bayesian analysis

Spatio-temporal patterns of pneumonia in Bhutan: A Bayesian analysis

Short-term exposure to air pollution and hospital admission for pneumonia: a systematic review and meta-analysis

Risk of temperature, humidity and concentrations of air pollutants on the hospitalization of AECOPD

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