Literature DB >> 11522554

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

J C Seidell1, L Pérusse, J P Després, C Bouchard.   

Abstract

BACKGROUND: A high waist-to-hip ratio is associated with unfavorable cardiovascular disease risk factors. This could be due to either a relatively large waist or a small hip girth.
OBJECTIVE: We sought to define the separate contributions of waist girth, hip girth, and body mass index (BMI) to measures of body composition, fat distribution, and cardiovascular disease risk factors.
DESIGN: Three-hundred thirteen men and 382 women living in the greater Quebec City area were involved in this cross-sectional study. Percentage body fat, anthropometric measurements, and abdominal fat distribution were obtained and BMI (in kg/m2) and waist-to-hip ratio were calculated. Serum blood lipids were determined from blood samples collected after subjects had fasted overnight
RESULTS: A large waist circumference in men and women (adjusted for age, BMI, and hip circumference) was associated significantly with low HDL-cholesterol concentrations (P < 0.05) and high fasting triacylglycerol, insulin, and glucose concentrations (P < 0.01). In women alone, a large waist circumference was also associated with high LDL-cholesterol concentrations and blood pressure. A narrow hip circumference (adjusted for age, BMI, and waist circumference) was associated with low HDL-cholesterol and high glucose concentrations in men (P < 0.05) and high triacylglycerol and insulin concentrations in men and women (P < 0.05). Waist and hip girths showed different relations to body fat, fat-free mass, and visceral fat accumulation.
CONCLUSIONS: Waist and hip circumferences measure different aspects of body composition and fat distribution and have independent and often opposite effects on cardiovascular disease risk factors. A narrow waist and large hips may both protect against cardiovascular disease. These specific effects of each girth measure are poorly captured in the waist-to-hip ratio.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11522554     DOI: 10.1093/ajcn/74.3.315

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  119 in total

1.  Visceral adiposity in young patients with coronary artery disease-a case control study.

Authors:  Blessan Varghese; Smrita Swamy; M A Srilakshmi; M J Santhosh; Gurappa G Shetty; Kiron Varghese; Chandrakant B Patil; Shamanna S Iyengar
Journal:  Indian Heart J       Date:  2012 May-Jun

2.  Risk factors associated with chronic low back pain in Syria.

Authors:  Mohammad Salem Alhalabi; Hassan Alhaleeb; Sarah Madani
Journal:  Avicenna J Med       Date:  2015 Oct-Dec

3.  Hip circumference and incident metabolic risk factors in Chinese men and women: the People's Republic of China study.

Authors:  Eva G Katz; June Stevens; Kimberly P Truesdale; Jianwen Cai; Linda S Adair; Kari E North
Journal:  Metab Syndr Relat Disord       Date:  2010-11-20       Impact factor: 1.894

4.  Efficacy of thigh volume ratios assessed via stereovision body imaging as a predictor of visceral adipose tissue measured by magnetic resonance imaging.

Authors:  Jane J Lee; Jeanne H Freeland-Graves; M Reese Pepper; Wurong Yu; Bugao Xu
Journal:  Am J Hum Biol       Date:  2015-01-21       Impact factor: 1.937

5.  Muscle mass index as a predictor of longevity in older adults.

Authors:  Preethi Srikanthan; Arun S Karlamangla
Journal:  Am J Med       Date:  2014-02-18       Impact factor: 4.965

Review 6.  Impact of obesity and bariatric surgery on metabolism and coronary circulatory function.

Authors:  Ines Valenta; Vasken Dilsizian; Alessandra Quercioli; Freimut D Jüngling; Giuseppe Ambrosio; Richard Wahl; Thomas H Schindler
Journal:  Curr Cardiol Rep       Date:  2014-01       Impact factor: 2.931

7.  Changes in body weight and waist circumference affect incident hypercholesterolemia during 7 years of follow-up.

Authors:  Paul T Williams
Journal:  Obesity (Silver Spring)       Date:  2008-09       Impact factor: 5.002

8.  Prevalence of the metabolic syndrome and its components in relation to socioeconomic status among Jamaican young adults: a cross-sectional study.

Authors:  Trevor S Ferguson; Marshall K Tulloch-Reid; Novie O M Younger; Jennifer M Knight-Madden; Maureen Samms-Vaughan; Deanna Ashley; Jan Van den Broeck; Rainford J Wilks
Journal:  BMC Public Health       Date:  2010-06-03       Impact factor: 3.295

9.  Gender differences in obesogenic behaviour, socioeconomic and metabolic factors in a population-based sample of Iranians: the IHHP study.

Authors:  Ali Akbar Tavassoli; Mojgan Gharipour; Alireza Khosravi; Roya Kelishadi; Zahra Dana Siadat; Ahmad Bahonar; Gholam Hosein Sadri; Masoumeh Sadeghi; Katayoun Rabiei; Firouzeh Sajjadi; Sonia Zarfeshani; Babak Eshrati; Shahin Shirani; Nizal Sarrafzadegan
Journal:  J Health Popul Nutr       Date:  2010-12       Impact factor: 2.000

10.  Prevalence of low glomerular filtration rate, proteinuria and associated risk factors in North India using Cockcroft-Gault and Modification of Diet in Renal Disease equation: an observational, cross-sectional study.

Authors:  Narinder P Singh; Gopal K Ingle; Vinay K Saini; Ajita Jami; Pankaj Beniwal; Madan Lal; Gajender S Meena
Journal:  BMC Nephrol       Date:  2009-02-17       Impact factor: 2.388

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.