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Table 4 Sensitivity analysis of Log-linear regression models of hospital discharge with diabetes as primary diagnosis and PM2.5 in Italian provinces

From: Ecological correlation between diabetes hospitalizations and fine particulate matter in Italian provinces

Gender

PM2.5 estimate

b (95 % CI)

Sandwich 95 % CI

Men

Annual mean

0.035 (0.013, 0.056)

(0.012, 0.058)

 

Annual median

0.053 (0.033, 0.083)

(0.026, 0.080)

 

Annual 95 percentile

0.011 (0.003, 0.019)

(0.001, 0.020)

 

Annual mean estimated from model

0.003 (0.001, 0.005)

(0.001, 0.005)

Women

Annual mean

0.040 (0.015, 0.064)

(0.012, 0.058)

 

Annual median

0.064 (0.031, 0.097)

(0.032, 0.096)

 

Annual 95 percentile

0.012 (0.003, 0.021)

(0.002, 0.022)

 

Annual mean estimated from model

0.003 (0.001, 0.006)

(0.001, 0.006)

  1. All models adjusted for PC1 and appropriateness of diabetes hospitalization. Robust standard errors were used to estimate sandwich 95 % confidence intervals [21]