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Table 4 Multilevel linear regression models (b coefficient (95 % CI)) between sociodemographic inequities and cycling for 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 4.45 (3.71; 5.19)
Age group b
  50–65 years 1
  30–49 years -0.86 (-1.86; 0.14)
  18–30 years -0.38 (-1.39; 0.63)
Ethnicity c
  Caucasian 1
  Black 1.42 (-0.13; 2.97)
  Mixed -0.10 (-0.89; 0.69)
  Other 1.85 (-0.21; 3.92)
Socioeconomic level d
  Low 1
  Middle -0.14 (-0.95; 0.67)
  High 0.23 (-1.15; 1.61)
Education level e
  Low 1
  Middle -1.28 (-2.14; -0.42)
  High -1.25 (-2.61; 0.12)
Transport mode f
  Public 1
  Private -2.28 (-5.14; 0.58)
  Other -1.20 (-3.61; 1.20)
Public transport usef
  ≤ 2 days/week 1
  3–5 days/week 4.10 (2.50; 5.70)
  ≥ 6 days/week 7.42 (3.49; 11.35)
Private transport usef
  ≤ 2 days/week 1
  3–5 days/week -4.62 (-7.91; 3.31)
  ≥ 6 days/week -5.60 (-6.91; -4.30)
  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)