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Epidemiology/Health Services/Psychosocial Research

Bimodality in Blood Glucose Distribution

Is it universal?

  1. Teck-Onn Lim, FRCP, M MED STAT1,
  2. Rugayah Bakri, MPH1,
  3. Zaki Morad, FRCP2 and
  4. Maimunah A. Hamid, MPH3
  1. 1Clinical Research Centre, Kuala Lumpur Hospital, Kuala Lumpur, Malaysia
  2. 2Department of Nephrology, Kuala Lumpur Hospital, Kuala Lumpur, Malaysia
  3. 3Public Health Institute, Kuala Lumpur, Malaysia
    Diabetes Care 2002 Dec; 25(12): 2212-2217. https://doi.org/10.2337/diacare.25.12.2212
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    • Figure 1—
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      Figure 1—

      Histogram of log (post-challenge BG concentration) by ethnicity and age. Fitted bimodal normal curves are superimposed.

    Tables

    • Figures
    • Table 1—

      Characteristics of the sample by ethnic group and sex

      MalayChineseIndianOther Indigenous*All
      Men
       n4,2822,4466381,4838,849
       Mean age† (years)47 ± 1348 ± 1245 ± 1246 ± 1347 ± 13
       Mean BMI†23.3 ± 3.923.6 ± 3.723.9 ± 3.622.6 ± 3.723.8 ± 3.8
       % BMI
        <25 kg/m27167677670
        25–29.9 kg/m22428282125
        ≥30 kg/m255535
       Mean BG†5.5 ± 3.56.0 ± 3.67.0 ± 4.84.9 ± 2.35.7 ± 3.5
       Prevalence of impaired glucose tolerance‡ (%)3.5 ± 0.35.7 ± 0.56.7 ± 1.02.7 ± 0.54.4 ± 0.2
       Prevalence of diabetes‡ (%)6.0 ± 0.47.3 ± 0.616.3 ± 1.52.7 ± 0.57.0 ± 0.3
       Age-standardized prevalence of diabetes‡§ (%)6.5 ± 0.57.1 ± 0.619.5 ± 2.02.9 ± 0.6—
      Women
       n4,9922,9297431,70510,369
       Mean age† (years)46 ± 1347 ± 1345 ± 1245 ± 1346 ± 13
       Mean BMI†24.2 ± 4.723.4 ± 4.124.7 ± 4.923.1 ± 4.423.8 ± 4.5
       % BMI
        <25 kg/m26272607166
        25–29.9 kg/m22622282225
        >30 kg/m21161279
       Mean BG†5.8 ± 3.56.1 ± 3.46.6 ± 4.35.4 ± 3.05.9 ± 3.5
       Prevalence of impaired glucose tolerance‡ (%)4.3 ± 0.36.3 ± 0.56.1 ± 1.03.4 ± 0.55.0 ± 0.3
       Prevalence of diabetes‡ (%)6.6 ± 0.48.0 ± 0.511.5 ± 1.24.2 ± 0.67.1 ± 0.2
       Age-standardized prevalence of diabetes‡§ (%)7.5 ± 0.57.8 ± 0.611.6 ± 1.44.8 ± 0.7—
      • *

        ↵* Other Indigenous refers to indigenous people of Sabah and Sarawak on the island of Borneo;

      • †

        ↵† means ± SD;

      • ‡

        ↵‡ means ± SE;

      • §

        ↵§ age-standardized to Segi’s world population.

    • Table 2—

      Parameter estimates of unimodal and bimodal models for post-challenge BG distributions in four ethnic populations

      Ethnic/age groupn% With diabetesUnimodal normal model
      Bimodal normal model
      MeanGeometric mean (mmol/l)SDFirst mode
      Second mode
      MeanGeometric mean (mmol/l)SDMeanGeometric mean (mmol/l)SD% in second modeCut point
      Malay (age in years)
       30–393,4261.71.54.70.31.54.60.32.816.10.31.611.5
       40–492,5753.31.64.90.41.54.70.32.715.20.33.610.9
       50–591,4803.71.65.00.41.64.80.32.714.90.33.911.1
       ≥604273.71.65.20.41.65.00.32.816.60.33.412.2
      Chinese (age in years)
       30–391,7181.31.64.80.31.64.80.32.613.80.31.311.6
       40–491,5492.11.65.10.31.65.00.32.613.40.32.111.6
       50–599733.41.75.30.41.65.10.32.715.20.32.612.5
       ≥608626.21.75.70.41.75.30.32.816.00.35.512.3
      Indian (age in years)
       30–395763.01.65.00.41.64.80.32.714.80.33.411.0
       40–493565.11.75.30.41.65.00.32.817.10.24.112.9
       50–591454.81.75.70.41.75.40.32.917.60.33.813.3
       ≥601665.41.75.20.41.65.00.42.715.50.44.912.1
      Other Indigenous (age in years)
       30–391,3860.91.54.50.31.54.50.32.715.40.30.811.8
       40–497682.51.64.80.41.54.60.33.019.30.31.613.1
       50–594653.01.64.80.41.54.60.32.816.30.32.811.6
       ≥605253.81.65.00.41.64.80.32.715.00.33.311.9
      • Sample excluded imputed BG for known diabetic subjects without BG measurements.

    • Table 3—

      Parameter estimates of unimodal and bimodal models for post-challenge BG distributions in four ethnic populations

      Ethnic/age groupn% With diabetesUnimodal normal model
      Bimodal normal model
      MeanGeometric mean (mmol/l)SDFirst mode
      Second mode
      MeanGeometric mean (mmol/L)SDMeanGeometric mean (mmol/l)SD% in second modeCut point
      Malay (age in years)
       30–393,4612.71.64.80.41.54.60.32.815.80.32.711.0
       40–492,6676.71.65.10.41.54.70.32.715.00.37.410.3
       50–591,58710.11.75.40.51.64.70.32.715.30.311.010.2
       ≥601,55911.91.75.70.51.64.90.32.715.60.312.610.5
      Chinese (age in years)
       30–391,7251.71.64.80.31.64.80.32.613.80.31.711.3
       40–491,6085.71.75.30.41.65.00.32.714.90.36.010.8
       50–591,04810.31.75.70.51.65.10.32.714.80.310.810.6
       ≥6099418.61.96.50.51.75.30.32.815.70.318.011.8
      Indian (age in years)
       30–395905.31.65.10.41.64.80.32.613.80.36.010.3
       40–4939614.71.85.90.51.65.00.32.816.40.214.011.2
       50–5918224.22.07.10.61.75.40.32.816.90.325.010.6
       ≥6021326.31.96.70.61.64.90.32.715.00.328.19.4
      Other Indigenous (age in years)
       30–391,3921.31.54.60.31.54.50.32.715.00.31.311.3
       40–497804.01.64.80.41.54.60.32.816.50.33.711.5
       50–594724.51.64.90.41.54.60.32.816.40.34.311.4
       ≥605447.21.75.20.41.64.80.32.714.50.36.910.9
      • Sample included imputed BG for known diabetic subjects without BG measurements.

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    Diabetes Care: 25 (12)

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    Bimodality in Blood Glucose Distribution
    Teck-Onn Lim, Rugayah Bakri, Zaki Morad, Maimunah A. Hamid
    Diabetes Care Dec 2002, 25 (12) 2212-2217; DOI: 10.2337/diacare.25.12.2212

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    Bimodality in Blood Glucose Distribution
    Teck-Onn Lim, Rugayah Bakri, Zaki Morad, Maimunah A. Hamid
    Diabetes Care Dec 2002, 25 (12) 2212-2217; DOI: 10.2337/diacare.25.12.2212
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