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. 2022 Sep 14;11(18):e026370. doi: 10.1161/JAHA.122.026370

Table 4.

RRs (95% CI) and P Values in Associations Between 10 μg/m3 Increments of PM2.5 Concentrations and PVC Counts in First‐Degree and Third‐Degree Polynomial Distributed Lag Models

First‐degree model* Third‐degree model
RR (95% CI) P value RR (95% CI) P value
Lag 0, instantaneous 1.003 (0.997, 1.016) 0.68 0.994 (0.981, 1.008) 0.42
Lag 1, 0.5–1.0 h prior 1.009 (0.997, 1.022) 0.13 1.025 (1.008, 1.042) <0.01
Lag 2, 1.0–1.5 h prior 1.016 (1.004, 1.028) <0.01 1.013 (1.003, 1.023) 0.01
Lag 3, 1.5–2.0 h prior 1.023 (1.004, 1.035) 0.02 1.018 (1.001, 1.035) 0.04
Cumulative, within 2.0 h 1.052 (1.003, 1.103) 0.04 1.050 (1.002, 1.101) 0.04

All models were adjusted for age, race, sex, body mass index percentile, temperature, and relative humidity. PM2.5 indicates fine particles with aerodynamic diameters ≤2.5 μm; PVC, premature ventricular contraction; and RR, rate ratio.

*

In the first‐degree model, P values for zero‐ and first‐degree polynomials were 0.68 and <0.01, respectively.

In the third‐degree model, P values for zero‐, first‐, second‐, and third‐degree polynomials were 0.42, <0.01, 0.04, and 0.17, respectively.