Literature DB >> 15233553

Comparison of anthropometric parameters as predictors of serum lipids in premenopausal women.

M N Moreira-Andrés1, F J del Cañizo-Gómez, M A Losa, P Ferrando, A Gómez de la Cámara, F G Hawkins.   

Abstract

No single anthropometric parameter has yet been generally accepted as being superior to others in assessing the metabolic risk associated with abdominal obesity. To compare waist circumference (WC) with waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR), regarding their association with serum lipids, we studied 166 women aged 20 to 48 yr; 53 were obese [body mass index (BMI) 30-39.9 Kg/m2], 50 were overweight (BMI 25-29.9 Kg/m2) and 63 normal weight (BMI 18.5-24.9 Kg/m2). Height, body weight, waist and hip circumferences, total serum cholesterol (Ch), low (LDL) and high density lipoprotein (HDL)-Ch and triglyceride (TG) concentrations were measured. The correlation coefficients between the concentration of serum lipid fractions and each anthropometric parameter did not differ significantly for any lipid variable when WC, WHR and WHtR were compared in the 166 women. The same applied for the obese and the overweight group, whereas in normal weight women there was significant association only between WC and LDL-Ch and between WHR and Ch/HDL-Ch ratio. Stepwise regression analysis showed that the proportion of variance in serum lipids did not change significantly when WHR or WHR+WHtR were added to WC into the regression model (18%, 18% and 18% for Ch; 13%, 18% and 18% for HDL-Ch; 18%, 18% and 12% for LDL-Ch; 35%, 35% and 37% for TG, respectively). These results indicate that WC is the main parameter associated with serum lipid levels and that the ratios studied do not provide additional substantial information in women who need weight management.

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Year:  2004        PMID: 15233553     DOI: 10.1007/bf03351059

Source DB:  PubMed          Journal:  J Endocrinol Invest        ISSN: 0391-4097            Impact factor:   4.256


  44 in total

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Authors:  W T Friedewald; R I Levy; D S Fredrickson
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3.  Identifying patients for weight-loss treatment: an empirical evaluation of the NHLBI obesity education initiative expert panel treatment recommendations.

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4.  Predictive value of waist-to-hip ratio on cardiovascular risk events.

Authors:  J L Megnien; N Denarie; M Cocaul; A Simon; J Levenson
Journal:  Int J Obes Relat Metab Disord       Date:  1999-01

5.  Waist and hip circumferences have independent and opposite effects on cardiovascular disease risk factors: the Quebec Family Study.

Authors:  J C Seidell; L Pérusse; J P Després; C Bouchard
Journal:  Am J Clin Nutr       Date:  2001-09       Impact factor: 7.045

6.  Relationship of abdominal adiposity and dyslipemic status in women with a common mutation in the lipoprotein lipase gene. The REGICOR investigators.

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7.  Lipoprotein distribution and composition in obesity: their association with central adiposity.

Authors:  R W James; M C Brulhart-Meynet; T Lehmann; A Golay
Journal:  Int J Obes Relat Metab Disord       Date:  1997-12

8.  Regional patterns of fat distribution.

Authors:  P Björntorp
Journal:  Ann Intern Med       Date:  1985-12       Impact factor: 25.391

9.  Waist circumference action levels in the identification of cardiovascular risk factors: prevalence study in a random sample.

Authors:  T S Han; E M van Leer; J C Seidell; M E Lean
Journal:  BMJ       Date:  1995-11-25

10.  Lipoprotein lipase mass and activity in post-heparin plasma from subjects with intra-abdominal visceral fat accumulation.

Authors:  J Kobayashi; J Tashiro; S Murano; N Morisaki; Y Saito
Journal:  Clin Endocrinol (Oxf)       Date:  1998-04       Impact factor: 3.478

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  5 in total

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Authors:  Allison H Christian; Heidi Mochari; Lori J Mosca
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3.  Metabolic syndrome risk factors among a sample of overweight and obese Mexican children.

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Journal:  J Clin Hypertens (Greenwich)       Date:  2010-05       Impact factor: 3.738

4.  Which modifiable, non-modifiable, and socioeconomic factors have more effect on cardiovascular risk factors in overweight and obese women?

Authors:  Mansour Shahraki; Touran Shahraki; Farzad Shidfar; Hossein Ansari
Journal:  J Res Med Sci       Date:  2012-07       Impact factor: 1.852

5.  Which Life Style Anthropometric Index is a Better Predictor of Renal Function?

Authors:  Mansour Shahraki; Touran Shahraki; Faramarz Fazeli; Hoshang Sanadgol
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  5 in total

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