Literature DB >> 15963581

Larger hip circumference independently contributed to reduced metabolic risks in Tehranian adult women.

Ahmad Esmaillzadeh1, Parvin Mirmiran, Siamak Habibi Moeini, Fereidoun Azizi.   

Abstract

BACKGROUND: It has been suggested that health professionals may discard measurement of hip circumference from public health screening efforts. Before discarding the hip circumference in epidemiological surveys, it is important to consider whether any important information is likely to be lost.
OBJECTIVE: To evaluate the relationship between hip circumference and metabolic risk factors in an urban adult population of Tehranian women.
DESIGN: In this population-based cross-sectional study, a representative sample of 5720 women aged 18-74 years, were included. Demographic data was collected; anthropometric indices and blood pressure were measured according to standard protocol. Hypertension was defined based on Joint National Committee VI (JNC VI). Biochemical analysis was conducted on fasting blood samples. Diabetes was defined as fasting plasma glucose (FPG) > or =126 mg/dl or 2-h plasma glucose (2hPG) > or =200 mg/dl. Lipid disorders and components of metabolic syndrome were considered based on Adult Treatment Panel III (ATP III).
RESULTS: Mean age of women was 39.9+/-14.6 years. Mean body mass index, waist-to-hip ratio, waist and hip circumferences for subjects were 27.1+/-5.1 kg/m2, 0.83+/-0.08, 86.5+/-13.1 cm and 103.5+/-9.8 cm, respectively. Higher hip circumference was associated with lower levels of serum total- and LDL-cholesterol, serum triglyceride, fasting plasma glucose, 2-h plasma glucose, systolic and diastolic blood pressure. Subjects in the top quintile of hip circumference had higher values of serum HDL-cholesterol concentration compared to those in the lower category. After adjustment for potential confounding variables and anthropometric measures associated with higher hip circumference, a significant decreasing trend was observed for odds of having high LDL-cholesterol (odds ratios among quintiles: 1.00, 0.98, 0.97, 0.95, 0.84, respectively, P for trend=0.04), diabetes (1.00, 0.68, 0.58, 0.45, 0.42, P for trend=0.01), hypertension (1.00, 0.96, 0.82, 0.78, 0.70, P for trend 0.02), low serum HDL-cholesterol (1.00, 1.03, 0.86, 0.82, 0.56, P for trend=0.04), elevated blood pressure (1.00, 0.99, 0.82, 0.70, 0.61, P for trend=0.01) and abnormal glucose homeostasis (1.00, 0.69, 0.66, 0.54, 0.48, P for trend=0.01) among hip circumference quintile categories. Individuals in the upper category of hip circumference had lower odds of having hypercholestrolemia (0.86 vs. 1.00) and high serum triglyceride levels (0.74 vs. 1.00) compared to those in the lowest category.
CONCLUSION: Hip circumference is independently and inversely associated with metabolic risk factors. This study underscores the importance of continuing to measure hip circumference in epidemiologic surveys in Tehranian adult women.

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Year:  2005        PMID: 15963581     DOI: 10.1016/j.ijcard.2005.05.019

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  14 in total

1.  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

2.  Hip circumference is associated with high density lipoprotein cholesterol response following statin therapy in hypertensive subjects.

Authors:  J A Pio-Magalhães; M C Ferreira-Sae; F A Souza; A M Grespan-Magossi; R Schreiber; L A Velloso; B Geloneze; K G Franchini; W Nadruz
Journal:  J Endocrinol Invest       Date:  2011-05-17       Impact factor: 4.256

3.  Association of hip circumference with incident diabetes and coronary heart disease: the Atherosclerosis Risk in Communities study.

Authors:  Emily D Parker; Mark A Pereira; June Stevens; Aaron R Folsom
Journal:  Am J Epidemiol       Date:  2009-02-18       Impact factor: 4.897

4.  Relations of pulse wave velocity to waist circumference independent of hip circumference.

Authors:  Min Jung Ko; Mi Kyung Kim; Jinho Shin; Bo Youl Choi
Journal:  Epidemiol Health       Date:  2010-05-03

5.  Waist circumference and risk of elevated blood pressure in children: a cross-sectional study.

Authors:  Cheuk-Sing Choy; Wan-Yu Chan; Ta-Liang Chen; Chun-Chuan Shih; Li-Chu Wu; Chien-Chang Liao
Journal:  BMC Public Health       Date:  2011-08-02       Impact factor: 3.295

6.  Comparison of various anthropometric and body fat indices in identifying cardiometabolic disturbances in Chinese men and women.

Authors:  Zhe-qing Zhang; Juan Deng; Li-ping He; Wen-hua Ling; Yi-xiang Su; Yu-ming Chen
Journal:  PLoS One       Date:  2013-08-12       Impact factor: 3.240

7.  Specific Metabolic Markers Are Associated with Future Waist-Gaining Phenotype in Women.

Authors:  Benedikt Merz; Ute Nöthlings; Simone Wahl; Marjolein Haftenberger; Anja Schienkiewitz; Jerzy Adamski; Karsten Suhre; Rui Wang-Sattler; Harald Grallert; Barbara Thorand; Tobias Pischon; Ursula Bachlechner; Anna Floegel; Annette Peters; Heiner Boeing
Journal:  PLoS One       Date:  2016-06-20       Impact factor: 3.240

Review 8.  Metabolic Syndrome: Findings from 20 Years of the Tehran Lipid and Glucose Study.

Authors:  Firoozeh Hosseini-Esfahani; Zahra Bahadoran; Nazanin Moslehi; Golaleh Asghari; Emad Yuzbashian; Somayeh Hosseinpour-Niazi; Parvin Mirmiran; Fereidoun Azizi
Journal:  Int J Endocrinol Metab       Date:  2018-10-21

9.  Lower limb biomechanical characteristics of patients with neuropathic diabetic foot ulcers: the diabetes foot ulcer study protocol.

Authors:  Malindu Eranga Fernando; Robert George Crowther; Margaret Cunningham; Peter Anthony Lazzarini; Kunwarjit Singh Sangla; Jonathan Golledge
Journal:  BMC Endocr Disord       Date:  2015-10-23       Impact factor: 2.763

10.  Higher Adiposity Is Associated With Slower Cognitive Decline in Hypertensive Patients: Secondary Analysis of the China Stroke Primary Prevention Trial.

Authors:  Jun Zhang; Genfu Tang; Haiqun Xie; Binyan Wang; Mingli He; Jia Fu; Xiuli Shi; Chengguo Zhang; Yong Huo; Xiping Xu; Kai Wang
Journal:  J Am Heart Assoc       Date:  2017-10-10       Impact factor: 5.501

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