Literature DB >> 20563664

Association of body mass index and lipid profiles: evaluation of a broad spectrum of body mass index patients including the morbidly obese.

Lior Shamai1, Einar Lurix, Michael Shen, Gian M Novaro, Samuel Szomstein, Raul Rosenthal, Adrian V Hernandez, Craig R Asher.   

Abstract

Prior epidemiologic studies have shown that increasing body mass index (BMI) is associated with higher total cholesterol and low-density lipoprotein cholesterol (LDL). However, these studies were limited by underrepresentation of obese subjects. The aim of this study was to determine whether there is an association between BMI and lipid profiles in a population of patients with a broad spectrum of BMI values. A case-control study was performed involving patients seen at the Cleveland Clinic Florida. Cases (BMI >30 kg/m(2)) were obtained from the obesity surgery database between August 31, 2000, and April 4, 2002. Controls (BMI ≤ 30 kg/m(2)) were obtained from a database of primary care physicians between May 1, 2004, and November 18, 2004. Pearson correlation coefficients were used to assess the relationship between BMI and lipid fractions. Multiple linear regression was performed to assess the independent effect of BMI on lipid levels while adjusting for potential confounders and propensity scores. Six hundred thirty-seven patients were analyzed (females, n = 362, 57%). There was no association between higher BMI and LDL (r = 0.19 p = 0.07), a negative association with high-density lipoprotein cholesterol (HDL; r = 0.45, p < 0.001), and a positive association with the log transformation of triglycerides (r = 0.32, p = 0.005).Higher BMI was inversely associated with HDL and directly associated with TG. BMI showed no significant association with LDL. Although the association between BMI and both HDL and TG may be explained by insulin resistance, the lack of a significant association between BMI and LDL remains an unexpected finding that requires further investigation.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 20563664     DOI: 10.1007/s11695-010-0170-7

Source DB:  PubMed          Journal:  Obes Surg        ISSN: 0960-8923            Impact factor:   4.129


  29 in total

1.  Prevalence of paradoxically normal serum cholestrol in morbidly obese women.

Authors:  H Vierhapper; A Nardi; P Grösser
Journal:  Metabolism       Date:  2000-05       Impact factor: 8.694

2.  Obesity and its relation to cardiovascular disease risk factors in Canadian adults. Canadian Heart Health Surveys Research Group.

Authors:  B A Reeder; A Angel; M Ledoux; S W Rabkin; T K Young; L E Sweet
Journal:  CMAJ       Date:  1992-06-01       Impact factor: 8.262

3.  Obesity : impact on cardiovascular disease

Authors: 
Journal:  Circulation       Date:  1998-10-06       Impact factor: 29.690

4.  Associations of age, adiposity, menopause, and alcohol intake with low-density lipoprotein subclasses.

Authors:  P T Williams; R M Krauss
Journal:  Arterioscler Thromb Vasc Biol       Date:  1997-06       Impact factor: 8.311

5.  Mortality and cardiac and vascular outcomes in extremely obese women.

Authors:  Kathleen McTigue; Joseph C Larson; Alice Valoski; Greg Burke; Jane Kotchen; Cora E Lewis; Marcia L Stefanick; Linda Van Horn; Lewis Kuller
Journal:  JAMA       Date:  2006-07-05       Impact factor: 56.272

6.  Relation of high plasma triglyceride levels associated with obesity and regional adipose tissue distribution to plasma lipoprotein-lipid composition in premenopausal women.

Authors:  J P Després; S Moorjani; A Tremblay; M Ferland; P J Lupien; A Nadeau; C Bouchard
Journal:  Clin Invest Med       Date:  1989-12       Impact factor: 0.825

7.  Circulating oxidized LDL is associated with increased waist circumference independent of body mass index in men and women.

Authors:  Tanja Weinbrenner; Helmut Schröder; Veronica Escurriol; Montserrat Fito; Roberto Elosua; Joan Vila; Jaume Marrugat; Maria-Isabel Covas
Journal:  Am J Clin Nutr       Date:  2006-01       Impact factor: 7.045

Review 8.  Abdominal obesity and dyslipidemia in the metabolic syndrome: importance of type 2 diabetes and familial combined hyperlipidemia in coronary artery disease risk.

Authors:  Molly C Carr; John D Brunzell
Journal:  J Clin Endocrinol Metab       Date:  2004-06       Impact factor: 5.958

9.  Longitudinal and secular trends in lipoprotein cholesterol measurements in a general population sample. The Framingham Offspring Study.

Authors:  K M Anderson; P W Wilson; R J Garrison; W P Castelli
Journal:  Atherosclerosis       Date:  1987-11       Impact factor: 5.162

10.  Plasma and lipoprotein cholesterol and triglyceride in the Pima Indian population. Comparison of diabetics and nondiabetics.

Authors:  B V Howard; W C Knowler; B Vasquez; A L Kennedy; D J Pettitt; P H Bennett
Journal:  Arteriosclerosis       Date:  1984 Sep-Oct
View more
  43 in total

1.  Serum leptin is associated with metabolic syndrome in obese Mexican subjects.

Authors:  Sara García-Jiménez; German Bernal Fernández; Maria Fernanda Martínez Salazar; Antonio Monroy Noyola; Cairo Toledano Jaimes; Angelica Meneses Acosta; Leticia Gonzalez Maya; Elizabeth Aveleyra Ojeda; Maria A Terrazas Meraz; Marie-Catherine Boll; Miguel A Sánchez-Alemán
Journal:  J Clin Lab Anal       Date:  2014-03-22       Impact factor: 2.352

2.  Evolution of lipid profiles after bariatric surgery.

Authors:  Ignacio Garcia-Marirrodriga; Cesar Amaya-Romero; Gabriel Patiño Ruiz-Diaz; Sandra Férnandez; Carlos Ballesta-López; Jose M Pou; June H Romeo; Gemma Vilahur; Gemma Vilhur; Lina Badimon; Juan Ybarra
Journal:  Obes Surg       Date:  2012-04       Impact factor: 4.129

3.  Comparing Utility of Anthropometric Indices Based on Gender Differences in Predicting Dyslipidaemia in Healthy Adults.

Authors:  Priyanka N Pawaskar; Arun Shirali; M Venkatraya Prabhu; Sheila R Pai; Nayanatara Arun Kumar; Niwas G Pawaskar
Journal:  J Clin Diagn Res       Date:  2015-08-01

4.  Detailed 3-dimensional body shape features predict body composition, blood metabolites, and functional strength: the Shape Up! studies.

Authors:  Bennett K Ng; Markus J Sommer; Michael C Wong; Ian Pagano; Yilin Nie; Bo Fan; Samantha Kennedy; Brianna Bourgeois; Nisa Kelly; Yong E Liu; Phoenix Hwaung; Andrea K Garber; Dominic Chow; Christian Vaisse; Brian Curless; Steven B Heymsfield; John A Shepherd
Journal:  Am J Clin Nutr       Date:  2019-12-01       Impact factor: 7.045

5.  The Prevalence and Predictors of Depression in Type 2 Diabetic Population of Punjab.

Authors:  Shallu Khullar; Harjot Dhillon; Gurpreet Kaur; Ritu Sharma; Kanchan Mehta; Rohit Aggarwal; Monica Singh; Puneetpal Singh
Journal:  Community Ment Health J       Date:  2016-01-02

6.  Contribution of Type 2 Diabetes Mellitus to Subclinical Atherosclerosis in Subjects with Morbid Obesity.

Authors:  Stefanie R van Mil; L Ulas Biter; Gert-Jan M van de Geijn; Erwin Birnie; Martin Dunkelgrun; Jan N M IJzermans; Noelle van der Meulen; Guido H H Mannaerts; Manuel Castro Cabezas
Journal:  Obes Surg       Date:  2018-08       Impact factor: 4.129

7.  A wild derived quantitative trait locus on mouse chromosome 2 prevents obesity.

Authors:  Md Bazlur R Mollah; Akira Ishikawa
Journal:  BMC Genet       Date:  2010-09-23       Impact factor: 2.797

8.  Discrepancies Between BMI and Classic Cardiovascular Risk Factors.

Authors:  Stefanie R van Mil; Guy H E J Vijgen; Astrid van Huisstede; Boudewijn Klop; Gert-Jan M van de Geijn; Erwin Birnie; Gert-Jan Braunstahl; Guido H H Mannaerts; L Ulas Biter; Manuel Castro Cabezas
Journal:  Obes Surg       Date:  2018-11       Impact factor: 4.129

9.  Establishment of reference intervals of clinical chemistry analytes for the adult population in Egypt.

Authors:  Heba Baz; Kiyoshi Ichihara; May Selim; Ahmed Awad; Sarah Aglan; Dalia Ramadan; Amina Hassab; Lamia Mansour; Ola Elgaddar
Journal:  PLoS One       Date:  2021-03-19       Impact factor: 3.240

10.  Cardio-metabolic risk factors and cortical thickness in a neurologically healthy male population: Results from the psychological, social and biological determinants of ill health (pSoBid) study.

Authors:  Rajeev Krishnadas; John McLean; G David Batty; David G Batty; Harry Burns; Kevin A Deans; Ian Ford; Alex McConnachie; Agnes McGinty; Jennifer S McLean; Keith Millar; Naveed Sattar; Paul G Shiels; Yoga N Velupillai; Chris J Packard; Jonathan Cavanagh
Journal:  Neuroimage Clin       Date:  2013-04-22       Impact factor: 4.881

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.