Table 1. Socioeconomic-demographic, lifestyle and clinical characteristics according to sex in nursing professionals from Primary Health Care in Bahia (n = 1111).
Characteristics | Total | Sex | ||
---|---|---|---|---|
n (%) | Female n (%) | Male n (%) | p-value* | |
Age (years old) | ||||
Up to 35 years | 579 (52.12) | 504 (51.69) | 75 (55.15) | 0.450 |
36 years old or mores | 532 (47.88) | 471 (48.31) | 61 (44.85) | |
Race | ||||
Non black people | 280 (25.20) | 242 (24.82) | 38 (27.94) | 0.432 |
Black people | 831 (74.80) | 733 (75.18) | 98 (72.06) | |
Place of residence | ||||
Rural area | 182 (16.38) | 143 (14.67) | 39 (28.68) | <0.01* |
Urban area | 929 (83.62) | 832 (85.33) | 97 (71.32) | |
Marital status | ||||
With a partner | 598 (53.83) | 528 (54.15) | 70 (51.47) | 0.557 |
Without a partner | 513 (46.17) | 477(45.85) | 66 (48.53) | |
Offspring | ||||
With offspring | 661 (59.50) | 592 (60.72) | 69 (50.74) | 0.189 |
Without offspring | 450 (40.50) | 383 (39.28) | 67 (49.26) | |
Professional category | ||||
Nurse | 452 (40.68) | 388 (39.79) | 64 (47.06) | 0.106 |
Nursing technician | 659 (59.32) | 587 (60.21) | 72 (52.94) | |
Family income1 | ||||
Up to two minimum wages | 512 (46.08) | 459 (47.08) | 53 (38.97) | 0.076 |
Three or more minimum wages | 599 (53.92) | 516 (52.92) | 83 (61.03) | |
Smoking habit | ||||
No | 978 (88.03) | 883 (90.56) | 95 (69.85) | <0.01* |
Yes | 133 (11.97) | 92 (9.44) | 41 (30.15) | |
Consumes alcohol beverages | ||||
No | 407 (36.63) | 374 (38.36) | 33 (24.26) | 0.001* |
Yes | 704 (63.37) | 601 (61.64) | 103 (75.74) | |
Practice of physical activities | ||||
Yes | 630 (56.71) | 545 (55.90) | 85 (62.50) | 0.145 |
No | 481 (43.29) | 430 (44.10) | 51 (37.50) | |
Fasting glucose2,3,4,5 | ||||
Positive (≥ 100) | 186 (16.74) | 159 (16,31) | 27 (19.85) | 0.300 |
Negative (<100) | 925 (83.26) | 816 (83.69) | 109 (80.15) | |
Fasting glucose6 | ||||
Positive (≥ 110) | 83 (7.47) | 67 (6.87) | 16 (11.76) | 0.042* |
Negative (<110) | 1028 (92.53) | 908 (93.13) | 120 (88.24) | |
Waist circumference 2,5 | ||||
Positive (≥ 90 (M) ≥ 80 (F)) | 737 (66.34) | 666 (68.31) | 71 (52.21) | <0,01* |
Negative (< 90 (M) < 80 (F)) | 374 (33.66) | 309 (31.69) | 65 (47.79) | |
Waist circumference6 | ||||
Positive (≥ 94 (M) ≥ 80 (F)) | 721 (64.90) | 666 (64.90) | 55 (40.44) | <0,01* |
Negative (< 94 (M) < 80 (F)) | 390 (35.10) | 309 (31.69) | 81 (59.56) | |
Waist circumference3 | ||||
Positive (>102 (M) > 88 (F)) | 459 (41.31) | 419 (42.97) | 40 (29.41) | 0.003* |
Negative (≤ 102 (M) ≤ 88 (F)) | 652 (58.69) | 556 (57.03) | 96 (70.59) | |
Waist circumference4 | ||||
Positive (> 88 (M) > 84 (F)) | 596 (53.65) | 523 (53.64) | 73 (53.68) | 0.994 |
Negative (≤ 88 (M) ≤ 84 (F)) | 515 (46.35) | 452 (46.36) | 63 (46.32) | |
HDLc2,3,4,5,7 | ||||
Positive (< 40 (M) < 50 (F)) | 489 (44.01) | 458 (46.97) | 31 (22.79) | <0,01* |
Negative (≥40 (M) and ≥ 50 (F)) | 622 (55.99) | 517 (53.03) | 105 (77.21) | |
HDLc6 | ||||
Positive (< 39) | 208 (18.72) | 184 (18.87) | 24 (17.65) | 0.732 |
Negative (≥ 39) | 903 (81.28) | 791 (81.13) | 112 (82.35) | |
Blood pressure2,3,4,5,7 | ||||
Positive (≥ 130/85) | 197 (17.73) | 160 (16.41) | 37 (27.21) | 0.002* |
Negative (< 130/85) | 914 (82.27) | 815 (83.59) | 99 (72.79) | |
Blood pressure6 | ||||
Positive (≥ 140/90) | 121 (10.89) | 94 (9.64) | 27 (19.85) | 0.002* |
Negative (< 140/90) | 990 (89.11) | 880 (90.36) | 109 (80.15) | |
Triglycerides2,3,4,5,6,7 | ||||
Positive (≥ 150) | 371 (33.39) | 315 (32.31) | 56 (41.18) | 0.040* |
Negative (< 150) | 740 (66.61) | 660 (67.69) | 82 (58.82) |
Source: Authors.
1 Sum of income of all family members. Minimum wage in 2017 was BR R$ 937.00 or US$ 286.54 at the time. In 2018 the minimum wage was BR R$ 954.00 or US$ 261,36.
2Cutoff point IDF/AHA/NHLBI.
3Cutoff point NCEP ATPIII.
4Cutoff point Barbosa et al. (2006) [32].
5Cutoff point IDF.
6Cutoff point EGIR.
7Cutoff point AACE. M: Male, F: Female. HDLc- High Density Lipoprotein Cholesterol
* statistically significant p <0,05.