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. 2019 Jun 1;10(6):1471–1479. doi: 10.1111/jdi.13070

Table 2.

Logistic regression analysis for sarcopenia

Model n Adjusted factors HbA1c (%)
<6.5 ≥6.5 and <7.0 ≥7.0 and <8.0 ≥8.0
OR (95% CI) P OR (95% CI) P OR (95% CI) P
Model 1 746 None Reference 3.10 (0.98–9.82) 0.055 3.17 (1.05–9.54) 0.040 4.36 (1.44–13.17) 0.009
Model 2 746 Basic factors Reference 4.54 (1.20–17.15) 0.025 4.77 (1.36–16.80) 0.015 7.20 (1.94–26.67) 0.003
Model 3 642 Fully adjusted Reference 4.30 (1.11–16.65) 0.035 4.48 (1.24–16.17) 0.022 7.65 (1.95–30.00) 0.003
Model 4 211 (BMI <22.3 kg/m2) Basic factors Reference 6.32 (1.32–30.34) 0.021 5.38 (1.25–23.05) 0.023 7.55 (1.59–35.79) 0.011

Sarcopenia was defined as weak grip strength (<26 kg for men, <18 kg for women) or slow usual gait speed (<1.0 m/s) and low skeletal mass index (<7.0 kg/m2 for men, <5.7 kg/m2 for women). Adjusted factors were as follows: basic factors were age, sex, body mass index, exercise habit, serum albumin, oral antihyperglycemic drugs, insulin therapy and cardiovascular diseases (ischemic heart diseases, cerebrovascular diseases and peripheral artery diseases); fully adjusted were basic factors plus duration of diabetes and retinopathy. Full results of the logistic regression analyses are shown in Table S3. BMI, body mass index; CI, confidence interval; HbA1c, glycated hemoglobin; OR, odds ratio.