Table 3—

Prevalences of IGT, IFG, and IGR defined according to 2hPG and FPG criteria (mmol/l) in men (M) and women (F) in the DECODA cohorts

CohortAge (years)Isolated IGT
Isolated IFG
IGT and IFG
IGR
2hPG 7.8–11.0 and FPG <6.1
2hPG <7.8 and FPG 6.1–6.9
2hPG 7.8–11.0 and FPG 6.1–6.9
IGT and/or IFG
MFMFMFMF
Shunyi, China40–494.710.61.20005.910.6
50–5911.38.42.13.71.0014.412.2
60–6911.110.21.62.31.62.314.314.8
70–7933.319.5000033.319.5
Beijing, China40–495.76.83.80.70.60.710.18.2
50–596.77.36.02.42.23.414.913.2
60–699.29.25.82.94.03.819.015.8
70–7911.414.87.93.92.61.621.920.3
80–898.310.58.3005.316.715.8
Qingdao, China30–391.207.10.83.50.811.81.6
40–495.86.33.66.93.61.313.014.5
50–596.97.08.812.21.41.617.120.8
60–698.410.59.76.43.55.721.722.6
70–7415.312.46.613.82.22.824.029.0
Ojika, Japan35–395.70005.7011.40
40–4910.912.25.53.30.91.617.317.1
50–5910.214.85.92.90.91.017.018.7
60–6916.218.04.35.49.24.829.728.1
70–7917.913.204.72.44.720.222.6
80–8921.428.67.100028.628.6
Funagata, Japan40–494.110.42.51.62.51.29.013.2
50–597.110.02.10.71.81.010.911.7
60–6910.616.02.53.13.02.516.021.6
70–7911.418.32.83.12.83.117.024.6
80–8918.37.47.37.402.425.617.3
Hisayama, Japan40–499.110.87.53.43.82.420.316.6
50–5911.613.37.35.14.33.523.121.9
60–6915.416.86.35.96.73.028.425.8
70–7913.917.210.46.24.27.228.530.7
Dombivli, India30–392.9010.14.05.82.618.86.6
40–493.12.511.35.01.12.515.510.1
50–591.42.17.48.54.44.313.214.9
60–694.85.14.810.24.85.114.420.5
70–797.15.17.110.47.1021.315.5
Chennai97, India30–393.66.41.9000.65.57.0
40–4911.76.20.91.400.712.68.3
50–597.58.91.503.01.112.010.0
60–695.23.004.52.61.57.89.0
70–797.012.6003.5010.512.6
Chennai94, India30–393.37.61.41.01.406.18.5
40–499.29.82.02.91.73.412.916.1
50–595.511.03.16.61.93.310.420.9
60–699.58.39.500018.98.3
70–79016.00000016.0
NUDS, India30–3911.714.36.69.73.74.622.128.6
40–4913.511.26.37.84.95.224.724.1
50–5910.910.36.57.34.95.422.423.0
60–6913.812.73.06.94.05.520.825.0
70–7913.712.24.16.36.98.124.726.6
0–8915.69.711.13.26.76.533.319.4
Singapore30–398.710.83.42.22.82.015.014.9
40–4911.014.17.01.85.64.523.520.4
50–5915.113.07.84.36.49.129.326.5
60–6917.315.86.27.57.66.831.130.1
Chinese and Japanese, total30–392.505.0*0.64.2*0.611.71.1
40–496.8*9.24.5*2.92.41.413.713.5
50–598.910.35.65.02.32.016.817.2
60–6911.914.15.14.44.83.621.822.2
70–7913.716.35.45.12.94.021.925.4
80–8916.111.77.13.902.623.218.2
Indian, total30–3910.0*12.55.9*7.83.33.719.324.0
40–4912.010.25.56.53.84.521.321.2
50–599.39.95.86.74.34.819.421.4
60–6912.511.33.36.53.74.919.522.6
70–7912.411.63.75.56.46.222.523.3
80–8912.613.39.02.75.45.327.121.2
  • Data are %.

  • *

    * P < 0.05,

  • P < 0.01,

  • P < 0.001 for the difference between men and women.