Over Time, Do Anthropometric Measures Still Predict Diabetes Incidence in Chinese Han Nationality Population from Chengdu Community?
Table 2
Univariate and multivariate COX-regression models for prediction of diabetes in different models.
Variable
Cases
Univariate regression
Model 1
Model 2
HR (95% CI)
P value
HR (95% CI)
P value
HR (95% CI)
P value
Quartiles
BMI (kg/m2)
167
1.00
NA
1.00
NA
1.00
NA
21.4-
167
1.19 (0.52–2.76)
0.679
1.20 (0.51–2.78)
0.680
1.14 (0.49–2.65)
0.767
23.2-
174
1.78 (0.82–3.85)
0.145
1.80 (0.83–3.92)
0.140
1.67 (0.76–3.65)
0.199
25.1-
179
3.43 (1.69–6.94)
0.001
3.53 (1.72–7.25)
0.001
2.90 (1.37–6.13)
0.005
P for trends
<0.001
<0.001
0.008
WC (cm)
163
1.00
NA
1.00
NA
1.00
NA
71.0-
171
1.75 (0.65–4.73)
0.271
1.61 (0.60–4.37)
0.348
1.60 (0.59–4.33)
0.356
76.0-
166
3.55 (1.43–8.79)
0.006
3.05 (1.23–7.60)
0.017
2.86 (1.14–7.12)
0.024
82.0-
187
5.72 (2.41–13.58)
<0.001
5.23 (2.20–12.44)
<0.001
4.48 (1.85–10.82)
0.001
P for trends
<0.001
<0.001
0.001
WHpR
132
1.00
NA
1.00
NA
1.00
NA
0.78-
203
4.99 (1.14–21.82)
0.033
4.63 (1.06–20.27)
0.042
4.35 (0.99–19.06)
0.051
0.83-
153
8.93 (2.09–38.18)
0.003
8.10 (1.89–34.84)
0.005
7.40 (1.71–31.94)
0.007
0.87-
199
13.37 (3.22–55.48)
<0.001
13.13 (3.16–54.49)
<0.001
11.17 (2.67–46.79)
0.001
P for trends
<0.001
<0.001
<0.001
WHtR
140
1.00
NA
1.00
NA
1.00
NA
0.44-
143
3.71 (1.03–13.29)
0.044
3.35 (0.93–12.04)
0.064
3.15 (0.87–11.33)
0.080
0.47-
225
4.74 (1.42–15.85)
0.011
4.59 (1.37–15.4)
0.014
4.19 (1.24–14.12)
0.021
0.51-
179
10.97 (3.39–35.52)
<0.001
10.47 (3.22–34.07)
<0.001
8.85 (2.68–29.24)
<0.001
P for trends
<0.001
<0.001
<0.001
Model 1: adjusted for age, sex, smoking, alcohol intake, regular physical exercise, family history of diabetes, and FPG. Model 2: adjusted for age, sex, smoking, alcohol intake, regular physical exercise, family history of diabetes, SBP, HDL, TG, and FPG.
