Table 3.

Factors associated to the oral cancer (mouth, lip and oropharynx) standardized mortality rate in Latin American countries^a, between 2000 and 2015. Tweedie multiple regression analysis was used to estimate the effect of socioeconomic factors and economic investments on the mortality of oral cancer

	Unadjusted Model (all variables)					Adjusted Model (variables with p < 0.20)
Parameter	B	p-value	PR	95% CI		B	p-value	PR	95% CI
				Lower	Upper				Lower	Upper
Male, 60 years or more	2.690	< 0.001	14.737	13.550	16.028	2.691	< 0.001	14.747	13.560	16.037
Female, 60 years or more	1.681	< 0.001	5.370	4.912	5.871	1.681	< 0.001	5.370	4.914	5.869
Male, 40 to 59 years	1.237	< 0.001	3.446	3.095	3.836	1.238	< 0.001	3.449	3.098	3.839
Female, 40 to 59 years			Ref.					Ref.
Year (2000 to 2015)	−0.004	0.337	0.996	0.988	1.004
Gross Domestic Product (GDP) per capta	−6.385E-6	0.303	1.000	1.000	1.000	−8.587E-6	0.132	1.000	1.000	1.000
Gini Index	0.046	< 0.001	1.047	1.037	1.056	0.047	< 0.001	1.048	1.039	1.057
Unemployment rate	0.000	0.967	1.000	0.990	1.010
Health expenditure per capta(%GDP)	0.088	< 0.001	1.092	1.048	1.138	0.082	< 0.001	1.085	1.044	1.129
Government Health Expenditure (as %GDP)	0.027	0.264	1.027	0.980	1.077	0.032	0.126	1.032	0.991	1.075
Government Education Investments (as % GDP)	0.048	0.044	1.050	1.001	1.100	0.045	0.063	1.046	0.998	1.096
Investments on Research and Development (as %GDP)	0.567	< 0.001	1.763	1.439	2.160	0.594	< 0.001	1.811	1.496	2.192

Statistical significance of the adjusted model was set at 5%. ^aLatin American countries: Argentina, Brazil, Chile, Colombia, Ecuador, Guatemala, Mexico, Nicaragua, Panama, Paraguay and Peru. GDP Gross Domestic Product, B Regression Coeficient, PR Prevalence ratio, 95% CI 95% Confidence interval