Skip to main content
. 2018 Dec 10;15(12):2811. doi: 10.3390/ijerph15122811

Table 3.

Estimated effects of air pollution on individual-level sedentary behavior outcomes by gender.

Dependent Variable Male Only Female Only Total
Coefficient
(95% CI)
# Observations
(# Participants)
Coefficient
(95% CI)
# Observations
(# Participants)
Coefficient
(95% CI)
# Observations
(# Participants)
AQI
Sedentary behavior in last week (h/week) 6.76 ***
(5.03, 8.48)
12,605 (6675) 8.34 ***
(5.62, 11.06)
5912 (3065) 7.35 ***
(5.89, 8.80)
18,517 (9700)
PM2.5
Sedentary behavior in last week (h/week) 5.7 ***
(4.23, 7.18)
12,605 (6675) 7.18 ***
(4.84, 9.53)
5912 (3065) 6.24 ***
(5.00, 7.49)
18,517 (9700)
PM10
Sedentary behavior in last week (h/week) 6.25 ***
(4.66, 7.85)
12,605 (6675) 7.72 ***
(5.20, 10.24)
5912 (3065) 6.8 ***
(5.46, 8.15)
18,517 (9700)
NO2
Sedentary behavior in last week (h/week) 6.43 ***
(4.76, 8.10)
12,605 (6675) 8.17 ***
(5.51, 10.84)
5912 (3065) 7.06 ***
(5.65, 8.47)
18,517 (9700)

Notes: Separate individual fixed-effect regressions were performed to estimate the effects of air pollution concentrations on samples stratified by sex. Models were adjusted for all of the time-variant individual characteristics listed in Table 1 (i.e., age, BMI, smoking status, drinking status, self-rated physical health, and self-rated mental health) and the environmental variables listed in Table 2 (average daily temperature, average wind speed, and percentage of rainy days in the last week). *** p < 0.001. AQI = air quality index. #: the number in the regression.