Research Article

Variations in Community Prevalence and Determinants of Recreational and Utilitarian Walking in Older Age

Table 3

Personal walking habits of participants by community.

Prev. (%) Model 1 
unadjusted
Model 2
adjusted for personal characteristics2
Model 3
adjusted for personal and distance to amenities3
Model 4
adjusted for personal, distance, and community SES4
OR195% CIOR95% CIOR95% CIOR95% CI

(A) Walking ≥5 days/week
Boston: Hyde Park3616.7Ref.Ref.Ref.Ref.
Boston: Mattapan2425.01.670.47–5.962.020.54–7.622.820.74–10.792.360.62–8.93
Boston: West Roxbury7125.41.700.61–4.741.960.67–5.682.570.87–7.572.400.81–7.17
Newton-Central2725.91.750.51–5.981.920.52–7.062.450.66–9.061.880.50–6.99
Boston: North/South Dorchester6026.71.820.64–5.182.390.80–7.122.250.74–6.802.080.69–6.28
Brookline-South5131.42.290.79–6.581.700.57–5.101.410.46–4.261.030.33–3.26
Newton-West7331.52.300.84–6.291.870.66–5.293.291.15–9.452.480.85–7.23
Dedham, Needham4032.52.410.80–7.221.950.62–6.082.900.92–9.161.630.52–5.16
Milton4734.02.580.89–7.482.680.89–8.113.501.14–10.762.720.89–8.31
Boston: Roslindale3735.12.710.90–8.193.331.04–10.663.551.09–11.563.411.05–11.10
Boston: Roxbury5935.62.760.99–7.713.311.13–9.692.820.96–8.312.230.74–6.72
Boston: Allston/Brighton3836.82.920.97–8.732.750.88–8.561.740.55–5.491.440.43–4.78
Newton-East4738.33.101.08–8.922.270.76–6.822.820.93–8.541.820.60–5.57
Brookline-North5147.14.441.58–12.513.891.32–11.502.290.76–6.851.640.49–5.44
Boston: Jamaica Plain5747.44.501.62–12.474.951.70–14.433.371.15–9.892.660.86–8.25
Boston: Downtown2748.14.641.46–14.766.862.01–23.383.240.95–11.092.220.55–8.99
745
Overall value for community differences
Area under ROC curve0.600.730.740.75
value for change in area under ROC compared to previous modelNA

(B) Walking for recreation ≥1 time/week
Boston: Hyde Park3641.71.460.64–3.351.520.65–3.581.100.46–2.630.950.39–2.27
Boston: Mattapan2441.71.460.56–3.781.700.62–4.661.360.49–3.761.140.41–3.16
Boston: West Roxbury7032.9Ref.Ref.Ref.Ref.
Newton-Central2638.51.280.50–3.251.140.43–3.001.040.39–2.740.790.30–2.11
Boston: North/South Dorchester5841.41.440.70–2.971.670.79–3.541.160.55–2.480.970.46–2.08
Brookline-South5046.01.740.82–3.671.440.66–3.120.880.40–1.950.860.39–1.92
Newton-West7338.41.270.64–2.531.200.59–2.451.140.55–2.331.060.52–2.18
Dedham, Needham4040.01.360.61–3.051.410.60–3.271.230.53–2.871.020.44–2.40
Milton4734.01.050.48–2.311.010.45–2.260.780.34–1.770.720.32–1.65
Boston: Roslindale3743.21.560.69–3.531.680.72–3.921.250.53–2.941.040.44–2.46
Boston: Roxbury5939.01.310.63–2.691.300.62–2.750.970.46–2.070.860.40–1.84
Boston: Allston/Brighton3847.41.840.82–4.131.590.68–3.690.960.41–2.280.990.42–2.33
Newton-East4753.22.321.09–4.961.720.79–3.771.330.59–2.961.000.44–2.27
Brookline-North5149.01.960.94–4.131.870.86–4.051.090.49–2.420.960.43–2.14
Boston: Jamaica Plain5644.61.650.80–3.401.630.77–3.460.990.46–2.140.930.43–2.01
Boston: Downtown2748.11.900.77–4.691.830.71–4.721.010.39–2.660.920.35–2.43
739
Overall value for community differences
Area under ROC curve0.560.660.680.68
value for change in area under ROC compared to previous modelNA

.
.
Odds ratio estimates for the specified walking habit relative to a member of the referent community, obtained by logistic regression.
2Logistic regression model adjusted for a composite score predicted from the following personal characteristics: age, sex, self-rated health, bodily pain, alcohol consumption, education level, body mass index, short physical performance battery, falls efficacy, ADL (activities of daily life ability), race, foot pain, balance, number of comorbidities, gait speed, peripheral neuropathy, flights of stairs in the home, Mini-Mental State Examination Score, number of medications, illness causing reduced activity in past year, and strength to rise from a chair.
3Logistic regression model adjusted for a composite score predicted from the personal characteristics as listed in model 2 and for distances from the participant's block centroid to the following amenities: the nearest bus stop, subway station, hospital, shopping center, post office, public park, food store, town hall, and library.
4Logistic regression model adjusted for a composite score predicted from the personal and distances-to-amenities characteristics as listed in model 3 and for the following socioeconomic characteristics of the participant's community: median household income, percent below federal poverty level, percent of adults unemployed, percent of college graduates, percent of housing units owner-occupied, percent of housing units vacant, and percent of minority (non-White).