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Table 2 Posterior estimates of associations between nonmedical ecological determinants and CVD mortality risk in China, 2006–2020: estimated from Bayesian multivariable regression model

From: Spatiotemporal trends and ecological determinants of cardiovascular mortality among 2844 counties in mainland China, 2006–2020: a Bayesian modeling study of national mortality registries

Region

RRGDPa

RRNTL

RRNB

RRPD

Nationwide

0.92 (0.89, 0.96)

\({P}_{RR_{GDP<1\mid data}}=99.03\%\)bc

0.89 (0.83, 0.94)

\({P}_{RR_{NTL<1\mid data}}=99.99\%\)

0.98 (0.94, 1.02)

\({P}_{RR_{NB<1\mid data}}=43.09\%\)

0.99 (0.95, 1.01)

\({P}_{RR_{PD<1\mid data}}=51.22\%\)

Eastern areas

0.90 (0.88, 0.93)

\({P}_{RR_{GDP<1\mid data}}=99.91\)%

0.83 (0.78, 0.87)

\({P}_{RR_{NTL<1\mid data}}=99.99\%\)

0.89 (0.86, 0.92)

\({P}_{RR_{NB<1\mid data}}=99.82\%\)

0.96 (0.90, 1.02)

\({P}_{RR_{PD<1\mid data}}=54.93\%\)

Central areas

0.99 (0.95, 1.02)

\({P}_{RR_{GDP<1\mid data}}=58.94\%\)

0.92 (0.85, 1.00)

\({P}_{RR_{NTL<1\mid data}}=94.13\%\)

0.99 (0.95, 1.04)

\({P}_{RR_{NB<1\mid data}}=49.13\%\)

0.98 (0.94, 1.02)

\({P}_{RR_{PD<1\mid data}}=47.66\%\)

Western areas

0.96 (0.91, 1.01)

\({P}_{RR_{GDP<1\mid data}}=87.51\%\)

0.84 (0.75, 0.92)

\({P}_{RR_{NTL<1\mid data}}=99.98\%\)

0.98 (0.92, 1.04)

\({P}_{RR_{NB<1\mid data}}=42.29\%\)

0.97 (0.92, 1.01)

\({P}_{RR_{PD<1\mid data}}=41.63\%\)

  1. aThe Bayesian model was adjusted for annual average temperature (TEMP, °C), temperature variability (TV, °C), annual average relative humidity (HUMID, %), longitude (LT), altitude (AT), and concentration of PM2.5 emission (PM2.5, μg/m3), as confounders in main analysis
  2. bRRs represented the relative risk of posterior median and its 95% confidence interval (CI), equals to an exponential transformation of the regression coefficients of proxies and CVD mortality
  3. c\({P}_{RR_{proxies<1\mid data}}\) represented the posterior probability of negative association between different proxies and CVD mortality during 2006 and 2020. In a county in which the entire posterior probability of CVD mortality was negatively associated with those proxies, there was around a 100% posterior probability of a negative association and a 0% posterior probability of a positive association, and vice versa. Meanwhile, posterior probabilities more distant from 50% indicate more certainty