Effect of PM2.5 and its constituents on hospital admissions for cardiometabolic multimorbidity in Urumqi, China

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 21, 2025

Cardiometabolic multimorbidity (CMM) is caused by two or more of the diseases ischemic heart disease (CVD), type 2 diabetes mellitus (T2DM), and stroke, therefore requires hospitalization healthcare costs. However, few studies have investigated fine particulate matter (PM2.5) its constituents risk hospital admissions for CMM. We aimed to study these associations in Urumqi, a representative area northwest China. The effect PM2.5 on CMM was determined using quantile-based g-computation (QBGC) bayesian kernel machine regression (BKMR) method, which with greatest were ranked as NO3− > SO42− NH4+ BC OM. Among all constituents, presented highest risk, largest observed at lag 21-day maximum concentration (RR = 2.079, 95% CI: 1.396–3.097). Per IQR increase had significantly IHD 1.079, 1.028–1.132) 1.094, 1.039–1.152). Female patients hospitalized indicated heightened sensitivity elevated levels 1.170, 1.077–1.271). interaction between high concentrations low temperature, relative humidity (RH), sunshine duration (SSD) affected Additionally, cold waves, defined minimum temperature below P2.5 sustained 5 days (CW5), intensified constituents.

Язык: Английский

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Air Pollution and COPD: Unveiling Hidden Risks of Mortality, Mechanical Ventilation, and Prolonged Hospitalization

Atmosphere, Год журнала: 2025, Номер 16(1), С. 36 - 36

Опубликована: Янв. 1, 2025

While the impact of air pollution on acute exacerbations chronic obstructive pulmonary disease (AECOPD) has been widely studied, its effect hospitalization outcomes remains less explored. This study examines influence short-term exposure adverse outcomes—mortality, mechanical ventilation use, and prolonged hospitalization—in patients with non-infectious severe AECOPD in Novi Sad, Serbia. Using a five-year time-series analysis, concentrations selected pollutants (PM10, PM2.5, SO2, NO2) meteorological data were integrated outcomes. Distributed lag non-linear models (DLNMs) revealed significant associations between rising pollutant levels some unfavorable Exposure to PM2.5 (urban background) SO2 traffic) linked higher risks (cumulative OR 21.95 (95% CI 1.07–449.45) 11.37 1.25–103.27), respectively) RR 2.27 1.14–4.52) 2.24 1.38–3.64), respectively). No cumulative effects mortality observed, though specific patterns emerged individual models. These findings highlight critical role improving quality reducing COPD-related risks.

Язык: Английский

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Impact of Meteorological Factors on Seasonal and Diurnal Variation of PM2.5 at a Site in Mbarara, Uganda

Air, Год журнала: 2025, Номер 3(1), С. 1 - 1

Опубликована: Янв. 2, 2025

Because PM2.5 concentrations are not regularly monitored in Mbarara, Uganda, this study was implemented to test whether correlations exist between weather parameters and concentration, which could then be used estimate concentrations. for 24 h periods once every week eight months, while were day. The mean dry wet season 70.1 39.4 µg/m3, respectively. Diurnal trends levels show bimodal peaks the morning evening. univariate regression analysis meteorological factors averages yields a significant correlation with air pressure when all data considered, separated by season, there is concentration wind speed season. A strong seen diurnal variations most parameters, but our suggests that modeling concentrations, importance of these mainly due their underlying causes including changes atmospheric boundary layer height sources both hourly seasonally. While additional measurements needed confirm results, contributes knowledge short-term seasonal variation Mbarara forms basis determining effect on concentration.

Язык: Английский

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Potential causal links of long-term PM2.5 components exposure with diabetes incidence and mortality in the United States

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 106071 - 106071

Опубликована: Дек. 1, 2024

Язык: Английский

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