Literature DB >> 18809302

Influence of age on the relation between waist circumference and cardiometabolic risk markers.

I Janssen1.   

Abstract

BACKGROUND AND AIMS: To determine whether the relation between waist circumference (WC) and cardiometabolic risk markers is attenuated with advancing age. METHODS AND
RESULTS: The study population consisted of 5222 adults from the 1999 to 2004 U.S. National Health and Nutrition Examination Survey, a nationally representative cross-sectional study. Study variables were assessed in a clinical exam. Subjects were grouped into low, moderate, and high sex-specific WC tertiles. The cardiometabolic risk markers examined consisted of insulin resistance (HOMA method), high C-reactive protein, hypertension, and high LDL-cholesterol. Logistic regression was used to determine and compare the association between WC categories with high-risk cardiometabolic risk marker values within young (20-39 years), middle-aged (40-59 years), and older (60+ years) adults. With few exceptions, within each of the three age categories, individuals with a moderate and high WC were significantly more likely to have elevated cardiometabolic risk markers than individuals with a low WC. There was a significant interaction between age and WC indicating that the relation between WC with insulin resistance, high CRP, and hypertension was attenuated in older adults. For example, the odds ratio for hypertension in those with a high relative to low WC was 11.07 (95% CI: 6.13-20.00) in young adults, 3.67 (2.47-5.46) in middle-aged adults, and 2.68 (2.00-3.59) in older adults. Similar observations were made for BMI to those reported for WC.
CONCLUSIONS: A high WC was associated with elevated cardiometabolic risk markers irrespective of age. However, the association between WC and cardiometabolic risk markers was greatly attenuated with advancing age.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18809302     DOI: 10.1016/j.numecd.2008.06.013

Source DB:  PubMed          Journal:  Nutr Metab Cardiovasc Dis        ISSN: 0939-4753            Impact factor:   4.222


  9 in total

1.  Independent effects of age-related changes in waist circumference and BMI z scores in predicting cardiovascular disease risk factors in a prospective cohort of adolescent females.

Authors:  David J Tybor; Alice H Lichtenstein; Gerard E Dallal; Stephen R Daniels; Aviva Must
Journal:  Am J Clin Nutr       Date:  2010-12-08       Impact factor: 7.045

2.  Erythritol is a pentose-phosphate pathway metabolite and associated with adiposity gain in young adults.

Authors:  Katie C Hootman; Jean-Pierre Trezzi; Lisa Kraemer; Lindsay S Burwell; Xiangyi Dong; Kristin A Guertin; Christian Jaeger; Patrick J Stover; Karsten Hiller; Patricia A Cassano
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-08       Impact factor: 11.205

3.  Long-term dietary quality and risk of developing rheumatoid arthritis in women.

Authors:  Yang Hu; Jeffrey A Sparks; Susan Malspeis; Karen H Costenbader; Frank B Hu; Elizabeth W Karlson; Bing Lu
Journal:  Ann Rheum Dis       Date:  2017-01-30       Impact factor: 19.103

4.  Anthropometric measures and lipid coronary heart disease risk factors in Korean immigrants with type 2 diabetes.

Authors:  Sarah Choi
Journal:  J Cardiovasc Nurs       Date:  2011 Sep-Oct       Impact factor: 2.083

5.  Distribution and clinical correlates of the interleukin receptor family member soluble ST2 in the Framingham Heart Study.

Authors:  Erin E Coglianese; Martin G Larson; Ramachandran S Vasan; Jennifer E Ho; Anahita Ghorbani; Elizabeth L McCabe; Susan Cheng; Michael G Fradley; Dana Kretschman; Wei Gao; George O'Connor; Thomas J Wang; James L Januzzi
Journal:  Clin Chem       Date:  2012-10-11       Impact factor: 8.327

6.  Age-related differences in recommended anthropometric cut-off point validity to identify cardiovascular risk factors in ostensibly healthy women.

Authors:  Sreevidya Subramoney; Cecilia Björkelund; Xinxin Guo; Ingmar Skoog; Ingvar Bosaeus; Lauren Lissner
Journal:  Scand J Public Health       Date:  2014-10-07       Impact factor: 3.021

7.  Age and sex differences in factors associated with hypertension among an urban poor population in Bangladesh.

Authors:  Abubakr Ahmed Abdullah Al-Shoaibi; Chifa Chiang; Md Khalequzzaman; Sohel Reza Choudhury; Yoshihisa Hirakawa; Syed Shariful Islam; Atsuko Aoyama; Hiroshi Yatsuya
Journal:  Nagoya J Med Sci       Date:  2022-02       Impact factor: 1.131

8.  The role of FADS1/2 polymorphisms on cardiometabolic markers and fatty acid profiles in young adults consuming fish oil supplements.

Authors:  Kaitlin Roke; David M Mutch
Journal:  Nutrients       Date:  2014-06-16       Impact factor: 5.717

9.  Age-related differences in diabetes care outcomes in Korea: a retrospective cohort study.

Authors:  Myung Ki; Sujin Baek; Young-duk Yun; Namhoon Kim; Martin Hyde; Baegju Na
Journal:  BMC Geriatr       Date:  2014-10-16       Impact factor: 3.921

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.