Literature DB >> 8481076

Excess body weight. An underrecognized contributor to high blood cholesterol levels in white American men.

M A Denke1, C T Sempos, S M Grundy.   

Abstract

BACKGROUND: The influence of body weight on serum lipids is often overlooked in clinical practice.
METHODS: The association between body weight adjusted for height as calculated by body-mass index (BMI) and serum lipid and lipoprotein levels in white men was examined using the second National Health and Nutrition Examination Survey (NHANES II). Lipid results were categorized into six different levels of BMI: (1) 21.0 kg/m2 or lower, (2) 21.1 to 23.0 kg/m2, (3) 23.1 to 25.0 kg/m2, (4) 25.1 to 27.0 kg/m2, (5) 27.1 to 30.0 kg/m2, and (6) greater than 30.0 kg/m2, and three age groups: (1) young men (20 through 44 years), (2) middle-aged men (45 through 59 years), and (3) older men (60 through 74 years).
RESULTS: Using linear trend analysis, changes in BMI from categories 2 to 5 in young men were associated with a total cholesterol level 0.59 mmol/L (23 mg/dL) higher (P < .01), a non-high-density lipoprotein (non-HDL) cholesterol level 0.70 mmol/L (27 mg/dL) higher (P < .01), and a low-density lipoprotein (LDL) cholesterol level 0.59 mmol/L (23 mg/dL) higher (P = .03). For middle-aged men and older men, the same change in BMI was associated with smaller but still significant differences in total cholesterol levels (higher by 0.31 mmol/L [12 mg/dL] [P < .01] and 0.28 mmol/L [11 mg/dL] [P < .01], respectively) and non-HDL cholesterol levels (higher by 0.37 mmol/L [14 mg/dL] [P < .01] and 0.25 mmol/L [10 mg/dL] [P < .01], respectively), whereas the LDL cholesterol levels were unchanged. Although advancing age may blunt the BMI-associated differences in total and LDL cholesterol levels, the BMI-associated differences in triglyceride levels (higher by 0.70 to 1.33 mmol/L [62 to 118 mg/dL] [P < .001]) and HDL cholesterol levels (lower by 0.18 to 0.39 mmol/L [7 to 15 mg/dL] [P < .001]) were of similar magnitude in all age groups.
CONCLUSION: Excess body weight is associated with deleterious changes in the lipoprotein profile. Higher BMI was associated at all ages with higher plasma triglyceride level, lower HDL cholesterol level, and higher total and non-HDL cholesterol levels. In young men, the higher total cholesterol level was reflected mainly in the LDL cholesterol level; in middle-aged and older men, in the non-HDL fraction. Programs to reduce coronary heart disease by improving lipid levels should include more emphasis on achieving and maintaining ideal body weight.

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Year:  1993        PMID: 8481076     DOI: 10.1001/archinte.153.9.1093

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  35 in total

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Review 2.  acp Best Practice No 168. The investigation and management of obesity.

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Authors:  Robert H Knopp; Brian Fish; Alice Dowdy; Barbara Retzlaff; Carolyn Walden; Irina Rusanu; Pathmaja Paramsothy
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4.  The clinical biochemistry of obesity.

Authors:  Ken A Sikaris
Journal:  Clin Biochem Rev       Date:  2004-08

Review 5.  Dietary fats, fatty acids, and their effects on lipoproteins.

Authors:  Margo A Denke
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6.  Cardiovascular risk factors in middle age obese Indians: a cross-sectional study on association of per cent body fat and intra-abdominal fat mass.

Authors:  Jaspal Singh Sandhu; Vandana Esht; Shweta Shenoy
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Review 7.  Aggressive diets and lipid responses.

Authors:  Claudia Panzer; Caroline M Apovian
Journal:  Curr Cardiol Rep       Date:  2004-11       Impact factor: 2.931

8.  Comparison of body mass index and waist circumference as predictors of cardiometabolic health in a population of young Canadian adults.

Authors:  Darren R Brenner; Kasia Tepylo; Karen M Eny; Leah E Cahill; Ahmed El-Sohemy
Journal:  Diabetol Metab Syndr       Date:  2010-05-12       Impact factor: 3.320

Review 9.  Fat tissue, aging, and cellular senescence.

Authors:  Tamara Tchkonia; Dean E Morbeck; Thomas Von Zglinicki; Jan Van Deursen; Joseph Lustgarten; Heidi Scrable; Sundeep Khosla; Michael D Jensen; James L Kirkland
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10.  Using a Markov simulation model to assess the impact of changing trends in coronary heart disease incidence on requirements for coronary artery revascularization procedures in Western Australia.

Authors:  Haider R Mannan; Matthew Knuiman; Michael Hobbs
Journal:  BMC Cardiovasc Disord       Date:  2010-01-06       Impact factor: 2.298

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