Table 2—

Prevalences of previously diagnosed and undiagnosed diabetes defined by 2hPG and FPG criteria (mmol/l) in men (M) and women (F) in the DECODA cohorts

CohortAge (years)Undiagnosed diabetes
Diagnosed diabetes
Total diabetes
2hPG ≥11.1 and FPG <7.0
2hPG <11.1 and FPG ≥7.0
2hPG ≥11.1 and FPG ≥7.0
MFMFMFMFMF
Shunyi, China40–4901.900.61.21.91.21.92.46.2
50–593.11.900.92.14.71.02.86.210.3
60–691.64.63.201.61.13.25.79.511.4
70–7902.60002.605.1010.3
Beijing, China40–490.61.81.32.13.81.12.52.18.27.1
50–595.25.40.80.53.75.44.54.914.216.1
60–694.01.61.71.31.23.86.911.413.818.0
70–792.63.92.62.33.57.011.415.620.228.9
80–89010.5008.308.315.816.726.3
Qingdao, China30–39001.22.34.73.12.10.78.06.1
40–493.61.01.41.02.22.32.02.29.26.5
50–592.33.62.32.67.04.48.74.820.315.4
60–693.13.42.72.47.55.15.47.118.718.0
70–742.206.69.704.16.14.814.918.6
Ojika, Japan35–39002.9000002.90
40–491.82.41.81.60.900.91.65.55.7
50–595.11.92.51.91.71.90.90.510.26.2
60–694.33.41.10.32.20.32.72.010.36.1
70–794.82.801.92.404.80.911.95.7
80–8914.3000014.30014.314.3
Funagata, Japan40–490.40.40.4000.41.31.62.12.4
50–592.52.20.400.71.50.71.94.35.6
60–694.23.61.01.72.02.54.53.711.711.5
70–792.84.91.10.91.10.96.67.711.614.4
80–893.77.400008.515.812.123.2
Hisayama, Japan40–492.81.21.20.51.90.75.62.711.65.1
50–595.12.82.11.43.91.113.25.324.310.7
60–693.53.01.71.62.11.613.411.420.717.6
70–792.12.82.11.51.41.911.78.317.314.5
Dombivli, India30–3901.41.42.62.92.602.64.39.2
40–4901.32.02.53.11.33.110.18.215.1
50–591.401.42.14.48.510.38.517.619.1
60–697.12.69.57.79.510.2010.326.130.8
70–79000005.1011.8016.9
Chennai97, India30–390.91.30001.32.41.13.33.7
40–494.51.4002.72.110.25.417.48.9
50–599.01.1004.66.717.112.430.720.2
60–692.66.004.55.27.529.817.637.635.7
70–7905.002.63.55.016.011.919.524.5
Chennai94, India30–392.01.002.12.01.52.31.96.26.4
40–492.85.52.42.93.04.78.311.316.524.4
50–593.18.91.22.26.19.919.714.030.135.0
60–693.12.80.006.311.127.322.436.836.3
70–79004.9005.413.014.717.920.1
NUDS, India30–392.12.14.05.92.52.24.84.313.314.4
40–492.62.55.25.23.74.213.312.624.824.5
50–595.23.15.25.15.85.718.920.635.034.5
60–693.43.16.44.26.85.825.821.642.434.7
70–793.25.44.66.37.34.122.420.737.436.5
80–894.43.24.46.56.73.313.36.528.919.4
Singapore30–391.60.50.80.72.81.32.11.47.33.9
40–493.35.03.30.53.66.34.74.715.016.4
50–592.93.41.41.74.85.215.19.624.320.0
60–692.18.32.708.28.320.016.533.033.0
Chinese and Japanese, total30–39001.71.73.32.31.50.56.54.5
40–491.71.31.00.91.61.13.12.17.4*5.4
50–593.83.01.41.33.32.86.23.714.810.7
60–693.73.11.61.42.82.56.77.114.914.2
70–792.73.31.92.21.72.49.28.115.516.0
80–895.46.5001.82.610.716.917.926.0
Indian, total30–391.91.93.2*4.92.32.14.03.611.412.5
40–492.62.84.24.43.53.911.511.621.822.7
50–594.9*3.34.04.45.76.318.418.733.032.6
60–693.63.35.94.26.96.424.720.741.034.6
70–792.64.84.15.16.04.519.918.632.633.0
80–893.62.73.65.37.22.79.87.124.217.7
  • Data are %.

  • *

    * P < 0.05,

  • P < 0.01,

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