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Table 3 Estimated effects of PM2.5 on individual-level physical activity outcomes by sex

From: The association between ambient fine particulate air pollution and physical activity: a cohort study of university students living in Beijing

Dependent variable Total Male only Female only
Coefficient (95% CI) # Observations (# participants) Coefficient (95% CI) # Observations (# participants) Coefficient (95% CI) # Observations (# participants)
Total minutes of vigorous physical activity in last week −22.32*** (−24.88, −19.77) 11,318 (3241) −21.70*** (−24.94, −18.46) 7654 (2189) −23.55*** (−27.59, −19.52) 3664 (1065)
Total minutes of moderate physical activity in last week −10.63*** (−14.61, −6.64) 11,045 (3231) −13.27*** (−18.24, −8.29) 7416 (2181) −4.79 (−11.41, 1.83) 3629 (1063)
Total minutes of MVPA −32.45*** (−37.63, −27.28) 10,832 (3228) −34.72*** (−41.22, −28.23) 7297 (2179) −27.29*** (−35.75, −18.83) 3535 (1062)
Total minutes of walk in last week −.86 (−3.84, 2.12) 11,018 (3233) −2.68 (−6.32, .95) 7411 (2183) 3.30 (−1.91, 8.52) 3607 (1063)
Total met in last week −226.14*** (−256.06, −196.21) 11,589 (3242) −238.10*** (−275.72, −200.47) 7809 (2190) −198.19*** (−246.91, −149.46) 3780 (1065)
  1. Separate individual fixed-effect regressions were performed to estimate the effects of air pollution concentrations on samples stratified by sex
  2. Models adjust for all 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 environmental variables listed in Table 2 (average daily temperature, average wind speed, and percentage of rainy day in last week). * P < 0.05; ** P < 0.01; *** P < 0.001