Literature DB >> 28910190

Waist-to-Height Ratio as a Predictor of C-Reactive Protein Levels.

Denise Tavares Giannini1, Maria Cristina Caetano Kuschnir2, Cecília Lacroix de Oliveira3, Moyses Szklo4.   

Abstract

BACKGROUND: C-reactive protein is an acute-phase protein that has been found in association with adiposity and cardiovascular disease risk. In this paper, the objective was to assess the relationship of C-reactive protein to four anthropometric measurements: body mass index, waist-to-height ratio, C index, and waist circumference.
METHODS: A cross-sectional random sample of the Study of Cardiovascular Risk in Adolescents (Portuguese acronym "ERICA") was included in the study. The analysis was adjusted for the complex sampling design. Poisson regression models with robust variance were used to estimate a multivariate-adjusted prevalence rate ratio expressing the relationship of each anthropometric measure to C-reactive protein. We evaluated adolescents aged 12 to 17 years participating in the capital of Porto Alegre, Brazil.
RESULTS: In all, 778 adolescents were included (60% female, 58% aged 15-17 years). Waist-to-height ratio was found to be the strongest adiposity marker associated with C-reactive protein even after adjusting for age, sex, smoking, physical activity, and insulin resistance (prevalence rate ratio = 7.09; 95% confidence interval, 5.01-9.18; p < 0.001).
CONCLUSIONS: Waist-to-height ratio is a strong predictor of C-reactive protein in adolescents in Porto Alegre, Brazil.

Entities:  

Keywords:  Anthropometry; C-reactive protein; adolescent; cardiovascular disease; insulin resistance; obesity

Mesh:

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Year:  2017        PMID: 28910190     DOI: 10.1080/07315724.2017.1338631

Source DB:  PubMed          Journal:  J Am Coll Nutr        ISSN: 0731-5724            Impact factor:   3.169


  2 in total

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Journal:  Int J Obes (Lond)       Date:  2019-03-29       Impact factor: 5.551

2.  Systematic review and meta-analysis of female lifestyle factors and risk of recurrent pregnancy loss.

Authors:  Ka Ying Bonnie Ng; George Cherian; Alexandra J Kermack; Sarah Bailey; Nick Macklon; Sesh K Sunkara; Ying Cheong
Journal:  Sci Rep       Date:  2021-03-29       Impact factor: 4.379

  2 in total

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