Research Article
Use of Global Risk Score for Cardiovascular Evaluation of Rural Workers in Southern Brazil
Table 2
Distribution of the variables of the global risk score of rural workers in the extreme south of Brazil (
).
| Variables | (%) | Low risk (%) | Moderate risk (%) | High risk (%) | Spearman correlation | value |
| Gender | | | | | | | Male | 10 (26.3) | 01 (2.6) | 01 (2.6) | 08 (21.1) | 0.623 | ≤0.001 | Female | 28 (73.7) | 21 (55.3) | 04 (10.5) | 03 (7.9) | | |
| Age | | | | | | | 30–39 years | 11 (28.9) | 11 (28.9) | 00 (0.0) | 00 (0.0) | | | 40–49 years | 06 (15.8) | 04 (10.5) | 01 (2.6) | 01 (2.6) | 0.783 | ≤0.001 | 50–59 years | 09 (23.7) | 04 (10.5) | 02 (5.3) | 03 (7.9) | | | 60–74 years | 12 (31.6) | 03 (7.9) | 02 (5.3) | 07 (18.4) | | |
| Systolic blood pressure | | | | | | | 90–119 mmHg | 11 (28.9) | 10 (26.3) | 00 (0.0) | 01 (2.6) | 0.545 | ≤0.001 | 120–149 mmHg | 19 (50.0) | 11 (28.9) | 03 (7.9) | 05 (13.2) | | | 150–180 mmHg | 08 (21.1) | 01 (2.6) | 02 (5.3) | 05 (13.2) | | |
| Treatment for hypertension | | | | | | | Yes | 09 (23.7) | 04 (10.5) | 01 (2.6) | 04 (10.5) | 0.227 | 0.171 | No | 29 (76.3) | 18 (47.4) | 04 (10.5) | 07 (18.4) | | |
| Smoker | | | | | | | Yes | 11 (28.9) | 03 (7.9) | 01 (2.6) | 07 (18.4) | 0.483 | 0.002 | No | 27 (71.1) | 19 (50.0) | 04 (10.5) | 04 (10.5) | | |
| Diabetes | | | | | | | Yes | 04 (10.5) | 01 (2.6) | 00 (0.0) | 03 (7.9) | 0.243 | 0.141 | No | 34 (89.5) | 21 (55.3) | 05 (13.2) | 08 (21.1) | | |
| Body mass index | | | | | | | 18.50–24.99 | 11 (28.9) | 08 (21.1) | 00 (0.0) | 03 (7.9) | | | 25.00–29.99 | 14 (36.8) | 09 (23.7) | 02 (5.3) | 03 (7.9) | 0.206 | 0.216 | 30.00–34.99 | 09 (23.7) | 02 (5.3) | 03 (7.9) | 04 (10.5) | | | 35.00–39.99 | 03 (7.9) | 02 (5.3) | 00 (0.0) | 01 (2.6) | | | ≥40.00 | 01 (2.6) | 01 (2.6) | 00 (0.0) | 00 (0.0) | | |
|
|