Table 5 Simple and multivariate regression analysis of handgrip strength (HGS) against indices of body fat distribution in subjects with obesity; r = correlation coefficient; ns: not statistically significant.

From: Visceral-to-peripheral adiposity ratio in proneness to sarcopenic obesity: association with low muscle strength, but not low muscle mass, in young women of South Asian descent

Predictors

Handgrip strength (Adjusted for lean mass)

Whole-body adiposity

r

Total body fat%

ns

Total fat mass

ns

Fat mass index

ns

Central adiposity

 

VAT

−0.18 (p < 0.05)

ASAT

ns

VAT/ASAT

−0.13 (ns; p = 0.1)

Peripheral adiposity

 

Gynoid

ns

Appendicular (Limb)

ns

Central-to-peripheral adiposity

 

VAT/Gynoid

−0.22 (p < 0.05)

ASAT/Gynoid

ns

VAT/Limb

−0.23 (p < 0.05)

ASAT/Limb

ns

Blood cardiovascular health markers

 

HOMA-IR

ns

Triglycerides

−0.21 (p < 0.05)

Total-cholesterol

−0.17 (p = 0.06)

HDL-cholesterol

ns

LDL-cholesterol

−0.14 (p = 0.1)

Systolic blood pressure

ns

Diastolic blood pressure

ns

C-reactive protein

−0.18 (p = 0.05)

Stepwise regression VAT/Limba

−0.22 (p < 0.05)

  1. aThe omission of the VAT/Limb ratio in the stepwise regression analysis resulted in VAT/Gynoid ratio being retained in the model, while the omission of both VAT/Gy and VAT/limb resulted in no other fat distribution indices or other variables being retained in the model; thus indicating that once adjusted for arm lean mass, part of the variability in HGS can be explained by the visceral-peripheral fat ratio but not by any other adiposity or cardiometabolic parameters.
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