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. 2023 Mar 17;23:266. doi: 10.1186/s12913-023-09273-2

Table 3.

Bivariate association between changes in EBSMRs and PHNs by no-intercept simple regression analysis

Variables of change (2015–2010) All municipalities Population < 10,000 Population ≥ 10,000
(n = 1601) (n = 470) (n = 1131)
Coefb P-value Coefb P-value Coefb P-value
EBSMRs in malesa
 All causes of death -4.42  < 0.001 -3.39 0.001 -5.30  < 0.001
 Malignant neoplasms -4.02  < 0.001 -3.86  < 0.001 -4.16  < 0.001
 Heart disease in males -3.65 0.002 -1.02 0.630 -5.88  < 0.001
 Cerebrovascular disease -11.60  < 0.001 -8.20 0.009 -14.49  < 0.001
EBSMRs in femalesa
 All causes of death -2.08  < 0.001 -1.61 0.111 -2.48  < 0.001
 Malignant neoplasms -0.49 0.405 -0.39 0.739 -0.57 0.375
 Heart disease -5.06  < 0.001 -3.49 0.089 -6.40  < 0.001
 Cerebrovascular disease -10.99  < 0.001 -7.62 0.014 -13.87  < 0.001

Coef Coefficient, EBSMR Empirical Bayes estimate of standardized mortality ratio, PHN Public health nurse

a Dependent variables

b Coefficients of PHNs (2015–2010) per 100,000 population (logarithmic transformed)