Literature DB >> 15480089

Fat distribution, body mass index and blood pressure in 22,090 men and women in the Norfolk cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC-Norfolk) study.

Dexter Canoy1, Robert Luben, Ailsa Welch, Sheila Bingham, Nicholas Wareham, Nicholas Day, Kay-Tee Khaw.   

Abstract

OBJECTIVE: To determine the relation between fat distribution and blood pressure, independent of body mass index.
DESIGN: Cross-sectional, population-based study. PARTICIPANTS AND METHODS: Participants, 9936 men and 12,154 women aged 45-79 years, were recruited from general practices in Norfolk, United Kingdom for the European Prospective Investigation into Cancer and Nutrition (EPIC-Norfolk) study. Participants filled in a health and lifestyle questionnaire and their blood pressure and anthropometry were measured at a clinic. We mainly used waist-hip ratio (WHR) to assess body fat distribution.
RESULTS: Systolic blood pressure (SBP) and diastolic blood pressure (DBP) increased linearly across the whole range of waist-hip ratio in both men and women. The relation was independent of age, body mass index (BMI) and other covariates. Separately, waist and hip circumferences were positively related to SBP and DBP. When adjusted for BMI, waist circumference was positively related to SBP (in women) and DBP (in both men and women), whereas hip circumference was inversely related to SBP (but not DBP) in both men and women. Stratifying by tertiles of waist and hip circumference, age- and BMI-adjusted SBP and DBP were highest among those with high waist and small hip circumference measures.
CONCLUSION: Waist-hip ratio was independently related to blood pressure. Waist-hip ratio could reflect the separate and opposite relations of waist and hip circumferences on blood pressure. Characterizing patterns of fat distribution may have implications in the assessment and control of obesity-related blood pressure elevation.

Entities:  

Mesh:

Year:  2004        PMID: 15480089     DOI: 10.1097/00004872-200411000-00007

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  30 in total

1.  Regional Fat Distribution and Blood Pressure Level and Variability: The Dallas Heart Study.

Authors:  Yuichiro Yano; Wanpen Vongpatanasin; Colby Ayers; Aslan Turer; Alvin Chandra; Mercedes R Carnethon; Philip Greenland; James A de Lemos; Ian J Neeland
Journal:  Hypertension       Date:  2016-07-18       Impact factor: 10.190

2.  Survival in colorectal cancer: impact of body mass and exercise.

Authors:  N R Hall
Journal:  Gut       Date:  2006-01       Impact factor: 23.059

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

Review 4.  Coronary heart disease and body fat distribution.

Authors:  Dexter Canoy
Journal:  Curr Atheroscler Rep       Date:  2010-03       Impact factor: 5.113

5.  Improved blood pressure control in elderly hypertensive patients: results of the PAPY-65 Survey.

Authors:  Patricia Van der Niepen; Alain G Dupont
Journal:  Drugs Aging       Date:  2010-07-01       Impact factor: 3.923

Review 6.  Obesity and hypertension in the Argentinian population compared to the white Hispanic population of the United States.

Authors:  Mónica G Díaz; Eduardo J Rusak; Erwin A Aguilar; Claudio A Bellido
Journal:  Curr Hypertens Rep       Date:  2014-07       Impact factor: 5.369

Review 7.  Adiponectin action from head to toe.

Authors:  Karine Brochu-Gaudreau; Charlotte Rehfeldt; Richard Blouin; V Bordignon; Bruce D Murphy; Marie-France Palin
Journal:  Endocrine       Date:  2009-12-01       Impact factor: 3.633

8.  A cohort study of incident hypertension in relation to changes in vigorous physical activity in men and women.

Authors:  Paul T Williams
Journal:  J Hypertens       Date:  2008-06       Impact factor: 4.844

9.  Prediction of hypertension by different anthropometric indices in adults: the change in estimate approach.

Authors:  Nguyen T Tuan; Linda S Adair; June Stevens; Barry M Popkin
Journal:  Public Health Nutr       Date:  2009-09-17       Impact factor: 4.022

10.  Cut-off points for anthropometric indices of adiposity: differential classification in a large population of young women.

Authors:  Sarah L Duggleby; Alan A Jackson; Keith M Godfrey; Siân M Robinson; Hazel M Inskip
Journal:  Br J Nutr       Date:  2008-07-18       Impact factor: 3.718

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.