ABC | Volume 112, Nº3, March 2019

Original Article Muniz et al Ideal cardiovascular health and job strain Arq Bras Cardiol. 2019; 112(3):260-268 Table 4 – Odds ratio for cardiovascular health factors according job demand, job control and job strain n (%) Crude Odds Ratio (95% CI) p Adjusted Odds Ratio (95% CI)* p Poor physical activity Low strain 66 (46) Ref - Ref - Active 53 (57) 1.57 (0.93-2.65) 0.09 1.67 (0.96-2.92) 0.07 Passive 73 (57) 1.57 (0.97-2.53) 0.066 1.19 (0.70-2.04) 0.52 High strain 46 (53) 1.36 (0.80-2.32) 0.26 1.40 (0.80-2.46) 0.24 Poor diet Low strain 71 (49) Ref - Ref - Active 45 (48) 0.96 (0.57-1.62) 0.89 0.95 (0.55-1.65) 0.86 Passive 72 (56) 1.32 (0.82-2.13) 0.25 1.38 (0.81-2.35) 0.24 High strain 58 (67) 2.13 (1.22-3.18) 0.008 2.31 (1.29-4.13) 0.005 BMI > 30 kg/m 2 Low strain 22 (15) Ref - Ref - Active 21 (23) 1.62 (0.83-3.15) 0.16 1.75 (0.86-3.53) 0.12 Passive 34 (26) 2.01 (1.10-3.65) 0.023 1.83 (0.94-3.57) 0.07 High strain 23 (27) 2.02 (1.05-3.91) 0.036 2.11 (1.06-4.22) 0.034 Smoking Low strain 8 (6) Ref - Ref - Active 7 (8) 1.38 (0.48-3.95) 0.55 1.65 (0.53-5.11) 0.39 Passive 9 (7) 1.29 (0.48-3.44) 0.62 1.01 (0.34-3.04) 0.98 High strain 8 (9) 1.74 (0.63 (4.83) 0.29 2.06 (0.69-6.12) 0.19 High blood pressure Low strain 51 (35) Ref - Ref - Active 28 (30) 0.79 (0.45-1.37) 0.4 0.82 (0.44-1.51) 0.53 Passive 48 (38) 1.09 (0.67-1.79) 0.72 0.72 (0.41-1.28) 0.27 High strain 32 (37) 1.08 (0.62-1.88) 0.78 0.93 (0.51-1.71) 0.82 Dyslipidemia Low strain 34 (24) Ref - Ref - Active 24 (26) 1.13 (0.62-2.06) 0.7 1.23 (0.64-2.36) 0.53 Passive 38 (31) 1.42 (0.83-2.43) 0.2 0.92 (0.50-1.69) 0.78 High strain 17 (19) 0.80 (0.41-1.53) 0.5 0.72 (0.36-1.45) 0.35 Diabetes Low strain 8 (6) Ref - Ref - Active 6 (6) 1.17 (0.39-3.49) 0.78 1.05 (0.33-3.30) 0.94 Passive 11 (9) 1.60 (0.62-4.11) 0.33 1.20 (0.42-3.49) 0.73 High strain 5 (6) 1.05 (0.33-3.32) 0.93 1.07 (0.32-3.56) 0.91 CI: confidence interval; BMI: body mass index; *Adjusted for age, sex, income, education and profession. diseases 17 and the prevalence of CV risk factors may have been underestimated, which increases the concern regarding the burden of CVD among employees at the University. Importantly, this need to be addressed at a larger scale, as it may reflect a high prevalence of cardiovascular risk factors in Rio Branco, the Brazilian capital with the highest prevalence of obesity. 18 However, the prevalence of these cardiovascular factors in our study was similar to data on cardiovascular risk factors reported in the literature. 18-20 The food questionnaire used couldn’t capture sodium and fiber-rich whole grains consumption, which limited the food related factors to only three items of the diet guideline proposed by the AHA. 4 Furthermore, some employees declined to respond the questionnaire, which could introduce bias, as employees who declined to fill out the survey could have different characteristics such as higher strain jobs and lower education compared to employees who filled out the survey. We considered that the current study sample is significant, since most part of 265