Table 4.
Linear mixed model fixed effect predictors of individually experienced HI in non-rest time (5am-midnight).
Population | All | Rural residents | Urban residents | Urban OutWor |
---|---|---|---|---|
HI[neighborhood], HI[WS] AIC | 121158.50 | 57253.60 | 39113.50 | 23785.20 |
HI[WS] only AIC | 121332.30 | 57340.30 | 39161.00 | 23804.00 |
HI[neighborhood] only AIC | 121156.80 | 57260.40 | 39111.60 | 23813.50 |
Model pick | HI[neighborhood] only | Both | HI[neighborhood] only | Both |
Fixed effects | β (95%CI) | β (95%CI) | β (95%CI) | β (95%CI) |
Intercept | 17.91 (9.51, 26.30) | 19.06 (6.98, 31.14) | 16.75 (1.88, 31.63) | 10.60 (−6.53, 27.78) |
HI[neighborhood] (°C) | 0.20 (0.19, 0.22)* | 0.16 (0.13, 0.20)* | 0.20 (0.17, 0.22)* | 0.21 (0.12, 0.30)* |
HI[WS] (°C) | NA | −0.06 (−0.10, −0.02)* | NA | 0.30 (0.20, 0.41)* |
Age | 0.01 (−0.02, 0.04) | 0.00 (−0.04, 0.04) | 0.03 (−0.02, 0.09) | −0.01 (−0.10, 0.07) |
Education ≥high school | −0.16 (−0.97, 0.66) | −0.47 (−1.65, 0.71) | 0.01 (−1.49, 1.50) | 0.93 (−0.65, 2.52) |
Annual household income ≥$20K | −0.74 (−1.62, 0.15) | −0.16 (−1.46, 1.15) | −0.78 (−2.50, 0.94) | −1.09 (−2.91, 0.75) |
Weekend | −0.59 (−0.76, −0.41)* | −0.28 (−0.50, −0.06)* | 0.20 (−0.11, 0.51) | −2.32 (−2.82, −1.81)* |
Body fat (%) | −0.06 (−0.13, 0.004) | 0.04 (−0.06, 0.14) | −0.10 (−0.23, 0.02) | −0.16 (−0.27, −0.05)* |
WS wind speed (m/s) | 0.30 (0.24, 0.35)* | 0.31 (0.24, 0.39)* | 0.35 (0.26, 0.44)* | 0.26 (0.12, 0.41)* |
Intervention | −0.42 (−0.59, −0.24)* | −0.42 (−0.65, −0.20)* | −0.25 (−0.55, 0.05) | −0.89 (−1.38, −0.40)* |
log(mean daily steps) | 0.88 (0.02, 1.74)* | 0.62 (−0.59, 1.82) | 0.97 (−0.62, 2.55) | 1.52 (−0.28, 3.31) |
Employed | 0.14 (−0.79, 1.06) | −0.81 (−2.03, 0.41) | 1.43 (−0.09, 2.96) | NA |
Rural residenta | 0.10 (−0.85, 1.04) | NA | NA | NA |
Outdoor workera | 1.71 (0.49, 2.92)* | NA | NA | NA |
Note:
Compared to Urban resident.
denotes a β estimates with a 95% confidence interval did not contain 0.
NA not applicable. NA in HI[WS] indicated that HI[WS] was not included in model selection based on AIC.