Association of the conicity index with diabetes and hypertension in Brazilian women.
OBJECTIVE
The goal of this study was evaluate the conicity index (C index) in women and its association with hypertension (SAH) and diabetes mellitus (DM).


METHODS
This was a cross-sectional study, with 573 women between 20 and 59 years of age. After analysis of clinical and demographic characteristics, anthropometric variables were measured and used to calculate the C index. Plasma glucose and lipid profile were evaluated by standard methods. The analysis of the results was based on logistic regression and the odds ratio (OR) was calculated, which was used to assess the association of the variable outcome with the variable exposure using two logistic regression models that tested the possible influence of the C index in the chance of developing SAH or DM. A confidence interval of 95% was used.


RESULTS
In the crude and adjusted models, the OR confirmed the association of the C index with DM and SAH. Compared with women that showed C index p < 75, the risk of women with C index (p ≥ 75) developing DM and SAH was 1.72 and 1.75, respectively. Results demonstrated that the negative impact of age on these associations significantly raised the odds of women having DM and SAH. The high C index was also linked to low HDL-C.


CONCLUSIONS
The C index is an important tool in estimating the risk of diabetes and hypertension in women. Besides, high C indexes are negatively associated with HDL-C, an important lipid marker related to cardiovascular risk.
Departamento de Nutrição, Faculdade de Saúde Pública, Universidade de São Paulo (FSP/USP), São Paulo, SP, Brasil.
Mirelli Dantas
MD
Andrade
Departamento de Nutrição, Faculdade de Saúde Pública, Universidade de São Paulo (FSP/USP), São Paulo, SP, Brasil.
Maria Camila Pruper de
MC
Freitas
Departamento de Nutrição, Faculdade de Saúde Pública, Universidade de São Paulo (FSP/USP), São Paulo, SP, Brasil.
Alyne Mayumi
AM
Sakumoto
Departamento de Nutrição, Faculdade de Saúde Pública, Universidade de São Paulo (FSP/USP), São Paulo, SP, Brasil.
Caroline
C
Pappiani
Centro de Referência para a Prevenção e Controle de Doenças Associadas à Nutrição (CRNutri), Centro de Saúde Escola Geraldo de Paula Souza (CSEGPS), Faculdade de Saúde Pública, Universidade de São Paulo (FSP/USP), São Paulo, SP, Brasil.
Samantha Caesar de
SC
Andrade
Centro de Referência para a Prevenção e Controle de Doenças Associadas à Nutrição (CRNutri), Centro de Saúde Escola Geraldo de Paula Souza (CSEGPS), Faculdade de Saúde Pública, Universidade de São Paulo (FSP/USP), São Paulo, SP, Brasil.
Viviane Laudelino
VL
Vieira
Departamento de Nutrição, Faculdade de Saúde Pública, Universidade de São Paulo (FSP/USP), São Paulo, SP, Brasil.
Nágila Raquel Teixeira
NR
Damasceno
D000328:Adult; D001786:Blood Glucose / Q000032:analysis; D050218:Body Fat Distribution; D001938:Brazil; D002318:Cardiovascular Diseases / Q000209:etiology / Q000503:physiopathology; D002784:Cholesterol / Q000097:blood; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000097:blood / Q000209:etiology* / Q000503:physiopathology; D005260:Female; D006801:Humans; D006973:Hypertension / Q000097:blood / Q000209:etiology*; D016015:Logistic Models; D008875:Middle Aged; D056128:Obesity, Abdominal / Q000150:complications*; D012016:Reference Values; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D018709:Statistics, Nonparametric; D014280:Triglycerides / Q000097:blood; D055815:Young Adult
D001786:Blood Glucose; D014280:Triglycerides; D002784:Cholesterol