ABC | Volume 110, Nº5, May 2018

Original Article Ramires et al Prevalence of metabolic syndrome in Brazil Arq Bras Cardiol. 2018; 110(5):455-466 Table 4 – Bivariate analysis and multivariable models for factors associated with metabolic syndrome among Brazilian women according to hierarchical levels of exposure variables studied - National Health Survey (NHS), Brazil, 2013 Variables Bivariate analysis Model 1 Model 2 Model 3 PR CI 99% PR CI 99% PR CI 99% PR CI 99% Age 18-59 years 1 1 1 1 ≥60 years 4,49 3,90- 5,18 3,44 2,95- 4,01 2,99 2,56- 3,48 3,20 2,76- 3,72 Education >8 years 1 1 1 1 ≤ 8 years 3,01 2,55- 3,55 1,98 1,67- 2,34 1,54 1,29- 1,83 1,46 1,23- 1,74 Conjugal situation Do not live with a partner 1 1 1 Live with a partner 1,37 1,18- 1,58 1,38 1,21- 1,58 1,33 1,17- 1,52 1,27 1,11- 1,45 Housing region NE/N 1 1 1 1 SE/S/CW 1,20 1,02- 1,41 1,18 1,01- 1,36 1,30 1,12- 1,52 1,18 1,02- 1,38 Skin color White 1 Non-white* 0,98 0,84- 1,15 Physical activity Active 1 Inactive 10,06 3,08- 32,84 Health self-perception Very good/good 1 1 1 Regular – Very bad 3,76 3,23- 4,38 2,65 2,24- 3,14 2,35 1,99- 2,78 Stroke No 1 1 Yes 3,13 2,29- 4,27 1,36 1,00- 1,86 Another CVD† No 1 1 Yes 2,86 2,32- 3,51 1,29 1,03- 1,62 Overweight No 1 1 Yes 2,19 1,85- 5,59 2,09 1,79- 2,42 Depression No 1 1 Yes 1,86 1,54- 2,26 1,31 1,07- 1,59 Chronic renal failure No 1 Yes 1,84 1,26- 2,69 PR: prevalence ratio; CI 99%: confidence interval 99%; N: norte; NE: northeast; SE: southeast; S: south; CW: central-west; CVD: cardiovascular disease; (*) Yellow, indigenous, brown, black; (‡) infarction, angina, heart failure or other. 461