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

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

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)

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