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 1 – Characteristics of subjects according to job strain (active, passive, low strain, high strain) Parameters Low strain Active Passive High Strain n = 144 (32%) n = 93 (21%) n = 128 (28%) n = 86 (19%) Age (years) 42.9 ± 11.9 43.6 ± 10.7 46.7 ± 13.2 † 42.8 ± 13.3 Gender - male n (%) 94 (65) 56 (60) 82 (64) 55 (64) Income - > $20.000/yr n (%) 57 (42) 62 (67) * 42 (35) 31 (37) Highly educated n (%) 112 (78) 82 (88) 63 (49) † 64 (76) Occupation- professor n (%) 63 (44) 65 (70) * 10 (8) † 18 (21) ‡ Low social support N (%) 66 (40) 59 (66) * 39 (31) 56 (66) ‡ Smoking n (%) Poor 8 (6) 7 (8) 9 (7) 8 (9) Intermediate 31 (22) 14 (15) 42 (33) 11 (13) Ideal 105 (73) 72 (77) 77 (60) 67 (78) Hypercholesterolemia n (%) 34 (24) 24 (26) 39 (30) 17 (20) Physical activity n (%) Poor 66 (46) 53 (57) 73 (57) 46 (54) Intermediate 38 (26) 21 (23) 31 (24) 21 (24) Ideal 40 (28) 19 (20) 24 (19) 19 (22) Diet n (%) Poor 71 (49) 45 (48) 72 (56) 58 (67) ‡ Intermediate 38 (26) 32 (34) 36 (28) 17 (20) Ideal 35 (24) 16 (17) 20 (16) 11 (13) Diabetes n (%) 8 (6) 6 (6) 11 (9) 5 (6) High blood pressure n (%) Poor 51 (35) 28 (30) 48 (38) 32 (37) Intermediate 72 (50) 50 (54) 70 (55) 49 (57) Ideal 21 (15) 15 (16) 10 (8) 5 (6) Body mass index (kg/m 2 ) 26.5 ± 3.8 26.4 ± 4.2 27.3 ± 4.6 27.5 ± 5.0 *p < 0.05 active vs. low strain; † p < 0.05 passive vs. low strain; ‡ p < 0.05 high strain vs low strain. be among the high strain job group. No significant differences were found between high strain and low strain group in terms of age, sex, and income. Passive participants were more likely to be older and low educated than low strain subjects. Active participants had higher income and were more likely to be professors than low strain participants (Table 1). Ideal CV health was not found in this sample. Intermediate CV health was found in 44 (9%) and poor in 434 (91%) individuals. Poor physical activity (53%) and poor diet (55%) were the factors with the highest prevalence among the participants. Poor BMI was found in 22% of participants, smoking in 7%, hypertension in 36%, hypercholesterolemia in 26%, and diabetes in 7% (Figure 1). Most participants had one to three CV health factors classified as poor (Table 2). Considering the outcome CV health and low strain as reference group for comparisons, we found that high strain, active and passive individuals have a non-significant increase in the chances of having poor CV health (Table 3 and Figure 2). Either high demand or low control category when analyzed separately or combined was not associated with poor CV health (Table 3). Individually, the active group had a trend to increase the odds of poor physical activity (OR 1.67, 95% CI 0.96-2.92; p = 0.07). High job strain increased the chance of poor diet by 2.3-fold in comparison with the low strain group (p = 0.005). Similarly, high job strain was associated with poor BMI (> 30 kg/m 2 ), OR 2.11, 95%CI 1.06-4.22; p = 0.034. We did not find an association between job strain and poor smoking, high blood pressure, hypercholesterolemia, or diabetes (Table 4). When demand and control categories were analyzed separately, low control was associated with poor diet. (Table 5) Discussion This study included 451 from an academic center and, to our knowledge, it is the first to describe the prevalence of CV health and explore a possible relationship with job strain in the Amazon Basin. Our main finding was a high prevalence of poor CV health with no individuals in ideal 262