Endocrine Abstracts (2009) 20 P392

Anthropometric determinants of adiponectin levels in obese and non obese premenopausal women

José Silva-Nunes1,2, Léone Duarte1, Luísa Veiga2, Alice Melão2, Miguel Brito2 & Fernando Malheiro1


1Endocrinology Department, Curry Cabral Hospital, Lisbon, Portugal; 2High School for the Health Technology of Lisbon, Lisbon, Portugal.


Background: Adiponectin is an important adipokine to which have been attributed anti-diabetic and anti-atherogenic properties. Excess of abdominal fat deposition is undoubtedly assumed as a cardiometabolic risk factor. It has been hypothesized that peripheral deposition of fat could exert a protective effect in cardiometabolic profile.

Aims: To evaluate the influence of anthropometric parameters on adiponectin levels in both obese and normal-weight premenopausal women.

Methods: We studied 80 obese (age=34.3±8.2 years, BMI=43.1±8.5 kg/m2, waist=117.8±15.7 cm, hip=133.4±14.3 cm, waist:hip ratio (WHR)=0.88±0.07 cm, percentual total body fat (%TBF)=47.4±5.3%) and 57 normal-weight pre-menopausal women (age=36±7.5 years, BMI=21.5±1.8 kg/m2, waist=71.4±5.9 cm, hip=96.9±4.7 cm, waist:hip ratio (WHR)=0.74±0.05 cm, percentual total body fat (%TBF)=25.2±4.6%). In each group, we looked for the correlation between adiponectin and each anthropometric parameter; we also tested the influence of the several possible parameters’ combinations on adiponectin levels.

Results: Adiponectin levels were significantly lower in the obese group (P<0.001). Adiponectin were inversely associated with waist (P=0.008; r=−0.293), WHR (P<0.001; r=−0.483) and %TBF (P=0.034; r=−0.237) in the obese women and with waist (P=0.007; r=−0.355) and WHR (P=0.001; r=−0.441) in the normal-weight group. Despite the absence of significance, hip circumference and adiponectin values showed concordance in their variation. The stronger combination of 2 anthropometric parameters for the association with adiponectin levels was WHR+%TBF in obese (r=0.511) as in non-obese (r=0.468). The stronger combination of 3 parameters was WHR+hip+%TBF (r=0.532) in obese and waist+hip+%TBF (r=0.523) in normal-weight. In the normal-weight, but not in the obese group, a greater power of association with adiponectin levels was obtained with the combination waist+hip+WHR+%TBF (r=0.558) and BMI+waist+hip+WHR+%TBF (r=0.57).

Conclusions: There is an inverse association between abdominal fat and adiponectin levels in both obese and normal-weight premenopausal women. In both groups, when we use parameters that take into account the amount of peripheral fat mass we increase the level of prediction for adiponectin levels.

Article tools

My recent searches

No recent searches.