Loading
Hypertension / Essential Hypertension · Journal article
Blood Pressure · August 6, 2026
Encouraging direction, but not yet definitive.
This observational study of 1,658 hypertensive patients identified associations between short-term exposure to PM2.5, PM10, SO2, and CO and increased blood pressure variability at specific lag periods (0–5 days). The findings are consistent with the hypothesis that air pollution elevates BPV, but the study cannot establish causation and lacks a control or unexposed comparison group.
Cross-sectional observational study with distributed lag analysis. 1,658 patients diagnosed with essential hypertension.. Intervention: Air pollutant exposure (PM2.5, PM10, SO2, CO, NO2, O3-8h); not an intervention but measured exposure.. n = 1,658.
PM2.5 10-μg/m³ increase associated with dSBPSD increment of 1.08 (95% CI: 0.15, 2.02) at lag 0 PM2.5 10-μg/m³ increase associated with dSBPCV increment of 0.80 (95% CI: 0.11, 1.50) at lag 0 PM2.5 10-μg/m³ increase associated with dDBPCV increment of 0.53 (95% CI: 0.04, 1.02) at lag 4
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
These findings suggest that clinicians managing hypertensive patients should be aware of potential short-term increases in blood pressure variability during periods of elevated air pollution exposure. However, the observational nature of this study limits causal inference; prospective or interventional evidence is needed before recommending clinical changes.
Observational study with adequate sample size demonstrating associations between multiple air pollutants and blood pressure variability in hypertensive patients, but lacks a comparator group and causal design.
As stated by the source record.
Quoted from the source exactly as published.
These findings suggest that clinicians managing hypertensive patients should be aware of potential short-term increases in blood pressure variability during periods of elevated air pollution exposure. However, the observational nature of this study limits causal inference; prospective or interventional evidence is needed before recommending clinical changes.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Background. Studies on the effect of atmospheric pollutant levels on blood pressure variability (BPV) are limited. However, the effects of atmospheric pollutant levels on blood pressure variability (BPV) in hypertensive patients remain unknown. People who are exposed to air pollutants in the short term have elevated blood pressure. The objective of this study was to explore the effects of air pollutant levels on BPV in patients with essential hypertension.Methods. A total of 1,658 patients diagnosed with essential hypertension were included. We collected BPV indicators from the patients and pollutant data, including particulate matter 2.5 (PM2.5), particulate matter 10 (PM10), sulphur dioxide (SO2), carbon monoxide (CO), nitrogen dioxide (NO2), and ozone 8-h mean (O3-8 h). We used the daily averages of PM2.5 and PM10, CO, NO2, SO2 from monitoring stations near the patients' homes. We constructed a distributed lag model for the median regression of the distribution, to explore the lag effect and correlation between air pollution components and BPV in patients with essential hypertension.Results. For every 10-μg/m³ increase in PM2.5, the maximum lag effect on dSBPSD (day time systolic blood pressure standard deviation) and dSBPCV (daytime systolic blood pressure coefficient of variation) was observed at lag 0, while that on dDBPCV (daytime diastolic blood pressure coefficient of variation) was observed at lag 4, with increments of 1.08 (95% CI: 0.15, 2.02), 0.80 (95% CI: 0.11, 1.50), and 0.53 (95% CI: 0.04, 1.02), respectively. For every 10-μg/m³ increase in PM10, the maximum lag effect on nDBPSD (night-time diastolic blood pressure standard deviation) and nDBPCV (night-time diastolic blood pressure coefficient of variation) was observed at lag 5, with increments of 0.57 (95% CI: 0.16, 0.99) and 1.00 (95% CI: 0.19, 1.8), respectively. For every 10-μg/m³ increase in SO2, the maximum lag effect on dSBPSD and dSBPCV were observed at lag 0, with increments of 4.35 (95% CI: 1.21, 7.48) and 3.54 (95% CI: 0.87, 6.21), respectively. For every 1-g/m³ increase in CO, the maximum lag effect on dSBPCV was observed at lag 0, with increments of 1.21 (95% CI: 0.25, 2.18).Conclusions. We observed a lag effect on BPV in patients with essential hypertension following short-term exposure to PM2.5, PM10, SO2 and CO.
Taken from the source record, never inferred. Follow any of these and new work involving them reaches your briefing.