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. 2024 Jun 10;19(6):e0295985. doi: 10.1371/journal.pone.0295985

Table 1. Socioeconomic-demographic, lifestyle and clinical characteristics according to sex in nursing professionals from Primary Health Care in Bahia (n = 1111).

Bahia, Brazil.

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.