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

Table 4 Multilevel linear regression models (b coefficient (95 % CI)) between sociodemographic inequities and cycling for active transportation by country

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 use^f
≤ 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 use^f
≤ 2 days/week	1
3–5 days/week	-4.62 (-7.91; 3.31)
≥ 6 days/week	-5.60 (-6.91; -4.30)

Multilevel linear regression models, including region and cities as random effects:
^a Adjustment: country, age, ethnicity, socioeconomic and education level;
^b Adjustment: country, sex, ethnicity, socioeconomic and education level;
^c Adjustment: country, sex, age, socioeconomic and education level;
^d Adjustment: country, sex, age, ethnicity, and education level;
^e Adjustment: country, sex, age, ethnicity, and socioeconomic level;
^f Adjustment: country, sex, age, ethnicity, socioeconomic, and education level;
CI confidence interval
Other ethnicity (Asian, Indigenous, Gypsy, and other)

ISSN: 1475-9276