The influence of socioeconomic characteristics on active travel in US metropolitan areas and the contribution to health inequity.

For all education levels above Less than High School we see an increasing trend in both prevalence and participation with above-average values for Bachelor’s Degree and above.

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les not significant at the α = 0.05 level in all four models (2009, 2017 × prevalence, participation) 21 . Table 3 contains log transformed p-values (–log 10 ⁡p ) for all tests and in it we see that sex is highly significant in the 2017 participation model (–log 10 p = 7.15), and race is marginally significant in the 2009 model (–log 10 ⁡ p = 1.38), and not significant at all in the 2017 prevalence model (–log 10 p = 0.87).

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Using the R package survey version 4.1-1, we computed Pearson chi-squared statistics (adjusted by design effect) using the survey design weights and found that both the prevalence and participation of active travel for each variable (tested independently) yielded highly significant results, with only the sex and race variables not significant at the α = 0.05 level in all four models (2009, 2017 × prevalence, participation) 21 .

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