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Table 1 Distribution of metabolic syndrome (MetS) according to demographic and socioeconomic characteristics of Quilombola women in Alagoas, Brazil, 2018

From: Ultra-processed food consumption and metabolic syndrome: a cross-sectional study in Quilombola communities of Alagoas, Brazil

Variables

Total (n = 895)

n (%)

MetS (n = 432)

n (%)

Crude PR (95% CI)

pa

Age group (years)

 19 a 29

211 (23.6)

41 (19.4)

1

-

 30 a 39

263 (29.4)

119 (45.3)

2.33 (1.72–3.16)

 < 0.001*

 40 a 49

238 (26.6)

142 (59.7)

3.07 (2.29–4.12)

 < 0.001*

 50 a 59

183 (20.4)

130 (71.0)

3.66 (2.74–4.89)

 < 0.001*

Race/skin color (self-reported)

 Different from brown or black

82 (9.2)

45 (54.9)

1

-

 Black or Brown

812 (90.8)

387 (47.7)

0.87 (0.70–1.07)

0.186*

Marital status

 Single

111 (12.4)

39 (35.1)

1

-

 Married (lives with a partner)

711 (79.4)

357 (50.2)

1.43 (1.10–1.86)

0.008*

 Widowed/divorced

73 (8.2)

36 (49.3)

1.40 (0.99–1.97)

0.053*

Schooling (complete years of study)

  ≥ 8

259 (29.0)

79 (30.5)

1

-

 Never studied

112 (12.6)

73 (65.2)

2.14 (1.70–2.69)

 < 0.001*

 1–4

364 (40.8)

211 (58.0)

1.90 (1.56–2.33)

 < 0.001*

 5–7

157 (17.6)

69 (43.9)

1.44 (1.12–1.86)

0.005*

Economic class b

 B + C

50 (5.6)

20 (40.0)

1

-

 D + E

844 (94.4)

411(48.7)

1.22 (0.86–1.72)

0.266

Family participation in a government program

 No

236 (26.4)

139 (58.9)

1

-

 Yes

659 (73.6)

293 (44.5)

0.75 (0.66–0.87)

 < 0.001*

Family income (in minimum wage) c

  > 1

248 (34.6)

110 (44.3)

1

-

  ≤ 1

468 (65.4)

236 (50.4)

1.14 (0.96–1.34)

0.130*

Employment status

 Employed

507 (57.1)

257 (50.7)

1

-

 Unemployed

381 (42.9)

172 (45.1)

0.89 (0.77–1.02)

0.105*

Food and nutritional insecurity

 No

515 (58.3)

237 (46.0)

1

-

 Yes

369 (41.7)

187 (50.7)

1.10 (0.96–1.26)

0.169*

  1. PR Prevalence ratios, 95%CI 95% confidence intervals
  2. aPearson χ2 test
  3. bAccording to the Criterion for Economic Classification Brazil 32. (There were no families in class A)
  4. cMinimum wage at the time of the survey: R$937.00 (US$293.70)
  5. *Variable selected to compose the multivariate analysis (p < 0.2)