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Table 5 Multilevel linear regression models (b coefficient (95 % CI)) between sociodemographic inequities and total active transportation by country

From: Sociodemographic inequities and active transportation in adults from Latin America: an eight-country observational study

Sociodemographic inequities Overall
Sex a
  Women 1
  Men 5.57 (3.89; 7.26)
Age group b
  50–65 years 1
  30–49 years -0.91 (-3.21; 1.38)
  18–30 years -0.82 (-3.14; 1.49)
Ethnicity c
  Caucasian 1
  Black 3.77 (0.23; 7.31)
  Mixed 3.20 (1.39; 5.00)
  Other 7.30 (2.55; 12.04)
Socioeconomic level d
  Low 1
  Middle 1.26 (-0.59; 3.12)
  High 3.00 (-0.15; 6.16)
Education level e
  Low 1
  Middle -3.80 (-5.77; -1.83)
  High -4.83 (-7.96; -1.69)
Transport mode f
  Public 1
  Private -7.03 (-11.65; -2.41)
  Other 0.70 (-3.50; 4.20)
Public transport use f
  ≤ 2 days/week 1
  3–5 days/week 5.10 (1.35; 8.85)
≥ 6 days/week 8.90 (3.07; 14.73)
Private transport use f
  ≤ 2 days/week 1
  3–5 days/week -3.31 (-6.16; 0.46)
  ≥ 6 days/week -4.80 (-6.91; -0.31)
  1. Multilevel linear regression models, including region and cities as random effects:
  2. a Adjustment: country, age, ethnicity, socioeconomic and education level;
  3. b Adjustment: country, sex, ethnicity, socioeconomic and education level;
  4. c Adjustment: country, sex, age, socioeconomic and education level;
  5. d Adjustment: country, sex, age, ethnicity, and education level;
  6. e Adjustment: country, sex, age, ethnicity, and socioeconomic level;
  7. f Adjustment: country, sex, age, ethnicity, socioeconomic, and education level;
  8. CI confidence interval
  9. Other ethnicity (Asian, Indigenous, Gypsy, and other)