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Table 3 Multilevel linear regression models (b coefficient (95 %CI)) between sociodemographic inequities and walking for active transportation

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

Sociodemographic inequities Overall
Sex a
  Women 1
  Men 0.79 (-0.66; 2.24)
Age group b
  50–65 years 1
  30–49 years -0.01 (-1.98; 1.96)
  18–30 years -0.58 (-2.56; 1.41)
Ethnicity c
  Caucasian 1
  Black 2.47 (-0.57; 5.51)
  Mixed 3.30 (1.74; 4.85)
  Other 5.37 (1.29; 9.45)
Socioeconomic level d
  Low 1
  Middle 1.50 (-0.09; 3.09)
  High 2.82 (0.10; 5.54)
Education level e
  Low 1
  Middle -2.45 (-4.14; -0.76)
  High -3.49 (-6.19; -0.79)
Transport mode f
  Public 1
  Private -9.13 (-15.11; -3.15)
  Other 4.85 (-1.09; 10.80)
Public transport use f
  ≤ 2 days/week 1
  3–5 days/week 7.06 (2.45; 11.67)
  ≥ 6 days/week 13.64 (5.57; 21.71)
Private transport use f
  ≤ 2 days/week 1
  –5 days/week -2.60 (-5.90; 1.30)
  ≥ 6 days/week -3.61 (-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)