Arquivos Brasileiros de Cardiologia (Oct 2007)

Influência da adiposidade global e da adiposidade abdominal nos níveis de proteína C-reativa em mulheres idosas Influence of overall and abdominal adiposity on C-reactive protein levels in elderly women

  • Jeffer Eidi Sasaki,
  • Maressa Priscila Krause,
  • Mirnaluci P. R. Gama,
  • Tatiane Hallage,
  • Cosme Franklin Buzzachera,
  • Maria Gisele dos Santos,
  • Sergio Gregorio da Silva

DOI
https://doi.org/10.1590/S0066-782X2007001600004
Journal volume & issue
Vol. 89, no. 4
pp. 231 – 236

Abstract

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OBJETIVO: Examinar como a adiposidade global e a adiposidade abdominal, expressas pela circunferência da cintura (CC), pelo índice de massa corporal (IMC) e pelo somatório de dobras cutâneas (sigmaDC), influenciam os níveis de proteína C-reativa (PCR) em mulheres idosas. MÉTODOS: A amostra foi composta por 387 mulheres idosas, com idade superior a 60 anos (média, 68,9; desvio padrão, 5,9 anos). Foram avaliados o IMC, a CC, o sigmaDC, e os níveis de PCR. Foi utilizada a análise estatística ANOVA one-way para verificar as diferenças nas variáveis entre as categorias investigadas. Para avaliar a influência das medidas de adiposidade nos níveis de PCR foi utilizada a regressão logística. O nível de significância adotado foi de p OBJECTIVE: To investigate how overall and abdominal adiposity, measured by waist circumference (WC), body mass index (BMI), and sum of skinfolds (sigmaSK), affect plasma C-reactive protein levels (CRP) in elderly women. METHODS: Study sample consisted of 387 women older than 60 years (mean age 68.9; standard deviation 5.9 years). BMI, WC, sigmaSK, and CRP levels were all measured. One-way ANOVA was performed to detect differences in study variables among the CRP levels investigated. Logistic regression analysis was used to determine the influence of body fat measurements on CRP levels. The significance level was set at p < 0.05. RESULTS: The analysis of variance showed that mean WC was lower in women with normal CRP levels, as compared to those with high CRP levels. Logistic regression analysis examined the influence of BMI, WC, and sigmaSK quartiles on CRP levels, yielding the following results: only WC was predictive of elevated CRP levels, its highest quartile (cut-off point of 94.0 cm) showing levels nearly two times higher than its lowest quartile (odds ratio = 2.23; 95% confidence interval = 1.92-4.18; p = 0.012). CONCLUSION: The results of this study indicate that abdominal adiposity is a strong predictor of elevated CRP levels.

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