Table 2.
Factors | OR (95% CI) | |||||
Physical activity | Sitting time per day | |||||
Moderate* | Moderate† | Light* | Light† | >7.5 hours* | >7.5 hours† | |
Age (years) | ||||||
18- | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
30- | 0.67 (0.56 to 0.81) | 0.70 (0.58 to 0.85) | 0.58 (0.48 to 0.70) | 0.63 (0.51 to 0.76) | 0.99 (0.85 to 1.14) | 1.04 (0.89 to 1.22) |
40- | 0.49 (0.41 to 0.57) | 0.52 (0.44 to 0.62) | 0.42 (0.36 to 0.50) | 0.47 (0.39 to 0.56) | 0.91 (0.79 to 1.04) | 0.98 (0.85 to 1.13) |
50- | 0.48 (0.41 to 0.57) | 0.52 (0.44 to 0.61) | 0.36 (0.30 to 0.42) | 0.39 (0.33 to 0.47) | 0.87 (0.76 to 0.99) | 0.94 (0.82 to 1.09) |
60- | 0.45 (0.38 to 0.52) | 0.51 (0.43 to 0.61) | 0.46 (0.39 to 0.54) | 0.51 (0.43 to 0.62) | 0.89 (0.78 to 1.02) | 0.89 (0.77 to 1.02) |
70–79 | 0.62 (0.52 to 0.74) | 0.72 (0.60 to 0.87) | 1.13 (0.95 to 1.35) | 1.17 (0.97 to 1.42) | 1.34 (1.17 to 1.54) | 1.08 (0.93 to 1.26) |
Gender | ||||||
Female | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
Male | 0.44 (0.42 to 0.46) | 0.46 (0.43 to 0.50) | 0.83 (0.79 to 0.88) | 0.76 (0.70 to 0.83) | 1.30 (1.24 to 1.36) | 1.25 (1.16 to 1.35) |
Education | ||||||
≤ Primary school | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
≥ Junior middle school | 1.01 (0.96 to 1.06) | 1.07 (1.01 to 1.14) | 0.97 (0.92 to 1.02) | 1.27 (1.20 to 1.35) | 0.92 (0.88 to 0.97) | 0.85 (0.81 to 0.90) |
Marital status | ||||||
Married/cohabiting | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
Divorced/widowed/unmarried | 1.22 (1.12 to 1.33) | 1.15 (1.05 to 1.26) | 1.62 (1.49 to 1.77) | 1.19 (1.09 to 1.31) | 1.20 (1.11 to 1.28) | 1.08 (1.00 to 1.17) |
Per capita monthly income | ||||||
<RMB500 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
RMB500- | 1.15 (1.08 to 1.22) | 1.16 (1.09 to 1.23) | 0.94 (0.88 to 1.00) | 1.08 (1.01 to 1.15) | 0.75 (0.71 to 0.80) | 0.79 (0.75 to 0.84) |
≥RMB1000 | 1.16 (1.09 to 1.23) | 1.13 (1.06 to 1.21) | 0.88 (0.83 to 0.94) | 1.00 (0.93 to 1.07) | 0.96 (0.91 to 1.02) | 1.01 (0.95 to 1.07) |
Smoking | ||||||
Never | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
Light | 0.52 (0.46 to 0.58) | 0.57 (0.51 to 0.64) | 0.84 (0.75 to 0.93) | 0.79 (0.70 to 0.89) | 1.04 (0.93 to 1.16) | 0.88 (0.78 to 0.99) |
Moderate | 0.52 (0.46 to 0.59) | 0.61 (0.54 to 0.69) | 0.86 (0.77 to 0.97) | 0.85 (0.75 to 0.97) | 1.21 (1.07 to 1.36) | 1.02 (0.90 to 1.16) |
Heavy | 0.47 (0.44 to 0.51) | 0.57 (0.52 to 0.61) | 0.87 (0.81 to 0.92) | 0.83 (0.77 to 0.90) | 1.41 (1.33 to 1.51) | 1.20 (1.10 to 1.31) |
Drinking, | ||||||
Never | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
Light | 0.50 (0.46 to 0.54) | 0.64 (0.59 to 0.69) | 0.76 (0.71 to 0.81) | 0.80 (0.74 to 0.87) | 1.19 (1.10 to 1.28) | 0.98 (0.90 to 1.06) |
Moderate | 0.54 (0.48 to 0.61) | 0.71 (0.63 to 0.81) | 0.82 (0.73 to 0.91) | 0.93 (0.82 to 1.05) | 1.08 (0.96 to 1.22) | 0.82 (0.72 to 0.92) |
Heavy | 0.51 (0.44 to 0.58) | 0.70 (0.61 to 0.81) | 1.01 (0.89 to 1.13) | 1.10 (0.96 to 1.27) | 1.31 (1.16 to 1.48) | 1.06 (0.93 to 1.21) |
Dietary habits | ||||||
Meat and poultry | 1.04 (1.02 to 1.06) | 1.08 (1.06 to 1.10) | 0.93 (0.91 to 0.95) | 1.01 (0.99 to 1.04) | 1.01 (0.99 to 1.03) | 0.95 (0.93 to 0.97) |
Fishery products | 1.16 (0.99 to 1.34) | 0.97 (0.82 to 1.16) | 0.61 (0.52 to 0.72) | 0.76 (0.63 to 0.93) | 2.16 (1.86 to 2.52) | 2.21 (1.87 to 2.60) |
Vegetables and fruits | 1.01 (1.01 to 1.01) | 1.01 (1.00 to 1.01) | 0.97 (0.97 to 0.97) | 0.96 (0.96 to 0.97) | 1.04 (1.03 to 1.04) | 1.05 (1.04 to 1.05) |
Soy products | 0.91 (0.88 to 0.94) | 0.88 (0.85 to 0.92) | 0.74 (0.71 to 0.77) | 0.81 (0.78 to 0.85) | 0.91 (0.87 to 0.95) | 0.91 (0.88 to 0.95) |
Sitting time per day | ||||||
≤7.5 hours | 1.00 | 1.00 | 1.00 | 1.00 | – | – |
>7.5 hours | 1.34 (1.25 to 1.42) | 1.35 (1.27 to 1.44) | 3.68 (3.47 to 3.91) | 4.09 (3.84 to 4.36) | – | – |
Physical activity | ||||||
Vigorous | – | – | – | – | 1.00 | 1.00 |
Moderate | – | – | – | – | 1.34 (1.25 to 1.42) | 1.37 (1.28 to 1.46) |
Light | – | – | – | – | 3.68 (3.47 to 3.91) | 4.08 (3.83 to 4.34) |
*Was a crude model;.
†Was a full model: adjusted for age, gender, education, marital status, per capita monthly income, smoking, drinking and dietary habits.