Association of high body mass index, waist circumference, and body fat percentage with sarcopenia in older women

BMC Geriatrics

Table 5 Logistic regression analysis of obesity defined by PBF for sarcopenia parameters according to sex

Characteristic^a	Unadjusted model		Fully adjusted model
Characteristic^a	Male OR (95% CI)	Female OR (95% CI)	Male OR (95% CI)	Female OR (95% CI)
Muscle strength Low HGS	0.890 (0.498-1.588)	1.888 (0.919-3.880)	2.001 (0.892-4.489)	1.078 (0.580-2.006)
Muscle mass Low ASMI	0.720 (0.470-1.103)	0.726 (0.466-1.133)	0.732 (0.457-1.173)	0.678 (0.415-1.106)
Physical performance Low SPPB	1.624 (0.824-3.202)	1.086 (0.686-1.724)	1.824 (0.865-3.845)	1.189 (0.723 -1.954)
Sarcopenia^b	1.587 (0.715-3.523)	0.210** (0.071-0.617)	1.796 (0.716 -4.503)	0.214** (0.068-0.678)

The fully adjusted model was adjusted for age, hypertension, dyslipidemia, osteoarthritis, osteoporosis, diabetes mellitus, smoking history, alcohol history, location of residence, family group, number of medications, and the MMSE-KC score
Obesity defined by PBF ≥ 28% for men and ≥ 34% for women
OR odds ratio, CI confidence interval, HGS hand grip strength, ASMI appendicular skeletal muscle mass index, SPPB short physical performance battery
^aLow HGS, < 28 kg for males and < 18 kg for females; low ASMI, < 7.0 kg/m2 for males and < 5.4 kg/m2 for females; low SPPB, score ≤ 9 for both sexes
^bSarcopenia: low ASMI (< 7.0 kg/m2 for men and < 5.4 kg/m2 for women) and either low HGS (< 28 kg for men and < 18 kg for women) or low physical performance (SPPB score ≤ 9 for both sexes)
^*P < 0.05
^**P < 0.001

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