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. 2019 Jun 7;14(6):e0217845. doi: 10.1371/journal.pone.0217845

Table 2. Socioeconomic inequalities in smoking prevalence—National Risk Factors Survey, Argentina, 2005, 2009 and 2013.

Men Women
Inequalities metrics 2005 (n = 17827) 2009 (n = 15028) 2013 (n = 14317) 2005 (n = 23565) 2009 (n = 19704) 2013 (n = 18048)
Prevalence Ratioa (95% CI)
 Education level (incomplete primary vs. complete secondary and more) 1.24 (1.07–1.43) 1.39 (1.23–1.57) 1.23 (1.03–1.48) 0.95 (0.79–1.15) 0.92 (0.79–1.08) 1.15 (0.91–1.45)
 Income (lowest quintile vs. highest quintile) 1.51 (1.32–1.73) 1.32 (1.17–1.48) 1.27 (1.09–1.47) 0.87 (0.75–1.01) 0.92 (0.82–1.04) 1.17 (0.98–1.38)
 Employment status (unemployed vs. employed) 0.87 (0.70–1.07) 1.11 (0.93–1.32) 1.06 (0.85–1.33) 1.05 (0.86–1.29) 1.16 (0.97–1.38) 1.32 (1.06–1.66)
Disparity Index
 Education levelb 14.47 20.50 16.73 20.98 23.24 19.25
 Incomec 18.31 18.52 17.84 15.69 17.04 17.21
 Employment statusd 24.46 32.22 33.06 21.77 18.32 23.10

Abbreviations: CI, confidence interval.

Smoking prevalence was defined as the proportion of people, aged 18 years and older, who responded that they currently smoke and have smoked more than 100 cigarettes in their lifetime.

a Adjusted by age.

b Categories: incomplete Primary; incomplete High School; complete High School or more.

c Quintiles of household income per consumer.

d Categories: Unemployed; inactive (respondent does not have a job and is not looking for one); employed.