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. 2022 Jan 4;8:724649. doi: 10.3389/fmed.2021.724649

Table 3.

Multivariate-adjusted logistic regression analyses of associations between follicle-stimulating hormone (FSH) levels and sarcopenia, severe sarcopenia, and individual sarcopenia components.

Prevalence
(%, n)
Crude model P Adjusted modela P
Sarcopenia
   Higher-FSH 21.8 (39)* 1.00 1.00
   Lower-FSH 13.8 (25) 0.575 (0.331–0.999) 0.049 0.511
(0.178, 1.467)
0.212
Severe sarcopenia
   Higher-FSH 19.6 (35) 1.00 1.00
   Lower-FSH 12.7 (23) 0.599 (0.338–1.062) 0.079 0.400 (0.136–1.175) 0.096
Low calf circumference
   Higher-FSH 25.1 (45)* 1.00 1.00
   Lower-FSH 14.9 (27) 0.522 (0.307–0.887) 0.016 0.308
(0.109, 0.868)
0.026
Low handgrip strength
   Higher-FSH 84.4 (151)** 1.00 1.00
   Lower-FSH 65.7 (119) 0.386 (0.235–0.636) <0.001 0.390 (0.151,1.005) 0.051
Low physical performance
   Higher-FSH 59.8 (108) 1.00 1.00
   Lower-FSH 58.0 (105) 0.930 (0.611–1.415) 0.734 0.717 (0.305,1.685) 0.446

Data were a proportion with a number for categorical variables and odds ratios (95% confidence interval). Low calf circumference: calf circumference <31 cm; Low handgrip strength: handgrip strength <27 kg; Low physical performance: 4-meter gait speed ≤ 0.8 m/s. All models constructed by logistic regression analysis: a: adjusted for age, waist circumference, education, exercise, LH, E2, TT, TG, LDL-C, 25(OH)D, albumin, FT3, and hsCRP.

*

P < 0.05,

**

P < 0.01, Lower-FSH group vs. Higher-FSH group.