Fig. 3: The overall effects PM1.0, PM2.5, PM10, and SDNN were estimated using the Bayesian kernel machine regression method according to the living labs on day with higher cumulative concentration. | npj Digital Medicine

Fig. 3: The overall effects PM1.0, PM2.5, PM10, and SDNN were estimated using the Bayesian kernel machine regression method according to the living labs on day with higher cumulative concentration.

From: Association between exposure to particulate matter and heart rate variability in vulnerable and susceptible individuals

Fig. 3

The overall effect of the mixture (95% CI) is defined as the difference in the response when all of the exposures are fixed at a specific quantile (ranging from 0.10 to 0.90), as compared to when all of the exposures are fixed at their median value. Models were adjusted for age, sex, BMI, respiration rate, smoking, alcohol consumption, METs, hypertension, diabetes mellitus, TVOC, humidity, and temperature. CI, confidence interval; PM, particulate matter.

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