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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)