Table 3: Simple and quadratic SSS quartile odds ratios for physical activity models.

Simple modelQuadratic term modelAdjusted best fit modela
SSS ouartile
OR (95% CI)
valueSSS quartile
OR (95% CI)
valueSSS quartile2
OR (95% CI)
valueSSS quartile
OR (95% CI)
valueSSS quartile2
OR (95% CI)
value

Physically active daily or weekly versus monthly or less
China
 Males 1.28 (1.17, 1.41)*<.00010.58 (0.31, 1.07).0831.17 (1.04, 1.31)*.0100.58 (0.31, 1.11).0991.15 (1.01, 1.29)*.030
 Females 1.21 (1.09, 1.34)*<.0010.47 (0.23, 0.94)*.0321.20 (1.05, 1.36)*.0070.45 (0.22, 0.91)*.0261.20 (1.05, 1.37)*.008
Japan
 Males1.22 (1.05, 1.42)*.011.42 (0.64, 3.14).3880.97 (0.83, 1.13).7001.27 (1.08, 1.49)*.004
 Females1.05 (0.89, 1.25).5661.02 (0.42, 2.48).9711.01 (0.85, 1.20).9391.04 (0.80, 1.50).713
South Korea
 Males1.26 (1.10, 1.45)*<.0013.00 (1.32, 6.82)*.0090.84 (0.72, 0.99)*.0373.10 (1.31, 7.35)*.0100.83 (0.70, 0.98)*.027
 Females1.10 (0.96, 1.27).1691.18 (0.54, 2.55).6820.99 (0.85, 1.15).8701.10 (0.95, 1.28).188
Taiwan
 Males1.24 (1.11, 1.40)*<.0011.24 (0.64, 2.39).5241.00 (0.88, 1.14).9881.20 (1.07, 1.36)*.003
 Females1.21 (1.06, 1.37)*.0040.57 (0.29, 1.12).1031.16 (1.02, 1.32)*.0270.57 (0.28, 1.14).1091.15 (1.01, 1.32)*.033

Underweight versus normal weight
China
 Males 0.94 (0.80, 1.11).4700.44 (0.15, 1.30).1391.16 (0.94, 1.43).1660.98 (0.82, 1.16).775
 Females 0.84 (0.74, 0.94)*.0020.56 (0.26, 1.21).1371.08 (0.93, 1.26).2950.84 (0.74, 0.94)*.003
Japan
 Males0.63 (0.44, 0.90)*.0100.92 (0.15, 5.51).9220.92 (0.62, 1.35).6690.64 (0.44, 0.94)*.023
 Females0.95 (0.79, 1.15).6180.55 (0.22, 1.39).2061.12 (0.93, 1.34).2340.95 (0.79, 1.15).618
South Korea
 Males0.77 (0.48, 1.24).2891.94 (0.12, 31.01).6390.83 (0.47, 1.46).5070.75 (0.44, 1.28).293
 Females1.18 (0.96, 1.47).1240.36 (0.11, 1.16).0871.27 (1.01, 1.59)*.0440.23 (0.06, 0.83)*.0251.38 (1.08, 1.76)*.010
Taiwan
 Males0.96 (0.74, 1.25).7791.04 (0.24, 4.59).9550.98 (0.74, 1.32).9150.88 (0.66, 1.16).356
 Females1.10 (0.90, 1.36).3571.07 (0.35, 3.21).9101.01 (0.82, 1.24).9551.12 (0.91, 1.39).288

Overweight or obese versus normal weight
China
 Males 1.08 (0.97, 1.19).1531.32 (0.69, 2.52).4100.96 (0.85, 1.09).5391.04 (0.94, 1.15).482
 Females 1.02 (0.91, 1.14).7141.44 (0.68, 3.05).3400.94 (0.82, 1.08).3621.03 (0.91, 1.15).685
Japan
 Males0.98 (0.83, 1.14).7590.55 (0.24, 1.25).1521.12 (0.96, 1.32).1620.85 (0.65, 1.23).650
 Females0.78 (0.62, 0.98)*.0341.28 (0.40, 4.23).6630.90 (0.71, 1.14).3870.80 (0.63, 1.01).058
South Korea
 Males1.02 (0.88, 1.18).7960.70 (0.29, 1.69).4251.08 (0.91, 1.28).3941.02 (0.87, 1.19).798
 Females0.71 (0.57, 0.87)*<.0010.38 (0.12, 1.16).0891.14 (0.91, 1.44).2650.79 (0.63, 0.98)*.029
Taiwan
 Males0.97 (0.86, 1.09).6261.09 (0.55, 2.15).7990.98 (0.86, 1.12).7300.97 (0.86, 1.10).670
 Females0.93 (0.80, 1.08).3521.86 (0.83, 4.15).1310.87 (0.75, 1.02).0860.98 (0.84, 1.15).821

value < .05.
aModel adjusted for age, marital status, education level, and occupational classified by manual/nonmanual labor.