Literature DB >> 19701839

Association between anthropometric indicators of body fat and metabolic risk markers in post-menopausal women.

Fabio Lera Orsatti1, Eliana Aguiar Petri Nahas, Jorge Nahas-Neto, Nailza Maesta, Claudio Lera Orsatti, Heloisa De Luca Vespoli, Paulo Traiman.   

Abstract

OBJECTIVE: to evaluate anthropometric indicators of body fat and their association with metabolic risk markers in postmenopausal women.
METHODS: A cross-sectional study with 80 Brazilian women (40-70 years) was carried out. Body mass index (BMI = weight/height(2)), waist circumference (WC) and waist-to-hip ratio (WHR) were obtained for anthropometric evaluation. Trunk fat mass (TFM) was measured by dual-energy X-ray absorptiometry. The following metabolic variables were evaluated: total cholesterol (TC), HDL, LDL, triglycerides (TG), as well as glycemia and insulin to determine insulin resistance (HOMA-IR).
RESULTS: Overweight and obesity were observed in 81% of the women. Values of WC >88 cm were observed in 68.5% of the women. On average, TC, LDL and TG levels were above normal levels in 60, 50 and 42.5% of the women, respectively; and HDL was normal in 82.5%. IR was observed in 37.5% of the women. Positive correlations were found between anthropometric indicators and TFM (P < 0.05). WC was most correlated with TFM (r = 0.92), followed by BMI (r = 0.88) and by WHR (r = 0.48; P < 0.05). All anthropometric indicators and TFM showed significant negative correlations with HDL and significant positive correlations with HOMA-IR (P < 0.05). Only WHR was significantly associated with dysglycemia (R(2) = 12%), hypertriglyceridemia (R(2) = 17%) and decreased HDL (R(2) = 27%). WC was significantly associated with HOMA-IR (R(2) = 34%).
CONCLUSION: WC and WHR are anthropometric measures that showed strong correlation with TFM and with metabolic risk markers in postmenopausal women.

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Year:  2010        PMID: 19701839     DOI: 10.3109/09513590903184076

Source DB:  PubMed          Journal:  Gynecol Endocrinol        ISSN: 0951-3590            Impact factor:   2.260


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