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. 2018 Mar 14;7(9):807–817. doi: 10.15171/ijhpm.2018.22

Table 5. Logistic Regression for Fair Distribution Among Social Groups in Local Health Promotion Initiatives .

Factors Fair Distribution Among Social Groups in Local Health Promotion Initiatives
Bivariate
OR (95% CI)
Multivariate, Model A
OR (95% CI), n = 155
Multivariate, Model B
OR (95 % CI), n = 155
Municipal changes in use of HiAP tools
PHC
Removed after enactment/never had 1.00 1.00 1.00
Had both before and after enactment 1.41 (0.59-3.34) 1.14 (0.39-3.28) 0.75 (0.22-2.58)
Acquired after enactment 0.51 (0.18-1.43) 0.41 (0.12-1.41) 0.22 (0.05-0.90)
Development of health overview
Removed after enactment/never had 1.00 1.00 1.00
Had both before and after enactment 2.42 (0.64-9.15) 2.31 (0.60-8.91) 1.37 (0.31-6.04)
Acquired after enactment 2.39 (1.10-5.21)a 2.65 (1.18-5.93)a 2.18 (0.90-5.28)
Local HiAP factors
Strengthen competence base for health promotion 2.51 (1.42-4.45)a 2.95 (1.30-6.72)a
Increased collaboration with voluntary organizations 1.81 (1.07-3.04)a 1.11 (0.50-2.49)
Collaboration with external actors 1.80 (1.04-3.14)a 2.98 (1.28-6.94)a
Cross-sectorial working groups at strategic level 1.43 (0.85-2.42) 1.38 (0.63-2.98)
Municipal background variables
Size 1.25 (1.01-1.54)a 1.51 (1.03-2.22)a
Centrality 1.10 (0.90-1.35) 0.85 (0.57-1.24)

Abbreviations: HiAP, Health in All Policies Factors; PHC, public health coordinator; OR, odds ratio.

Notes: All analyses were weighted with a combing weight of size and centrality.

a Significant associations.