Association of the conicity index with diabetes and hypertension in Brazilian women

Autor: Samantha Caesar de Andrade, Alyne Mayumi Sakumoto, Viviane Laudelino Vieira, Nágila Raquel Teixeira Damasceno, Maria Camila Pruper de Freitas, Caroline Pappiani, Mirelli Dantas Andrade
Rok vydání: 2014
Předmět:
Adult
Blood Glucose
medicine.medical_specialty
Index (economics)
hypertension
Endocrinology
Diabetes and Metabolism
lcsh:Medicine
030204 cardiovascular system & hematology
Logistic regression
lcsh:Diseases of the endocrine glands. Clinical endocrinology
Risk Assessment
Statistics
Nonparametric
Odds
03 medical and health sciences
Young Adult
0302 clinical medicine
Reference Values
Risk Factors
Internal medicine
Diabetes mellitus
Conicity index
medicine
Diabetes Mellitus
Body Fat Distribution
Humans
030212 general & internal medicine
Triglycerides
lcsh:RC648-665
medicine.diagnostic_test
diabetes
business.industry
lcsh:R
Odds ratio
Anthropometry
Middle Aged
medicine.disease
Confidence interval
Cholesterol
Cross-Sectional Studies
Logistic Models
Cardiovascular Diseases
Obesity
Abdominal
Hypertension
Female
hyperglycemia
Lipid profile
business
Brazil
Zdroj: Archives of Endocrinology and Metabolism, Vol 60, Iss 5, Pp 436-442 (2016)
Archives of Endocrinology and Metabolism, Volume: 60, Issue: 5, Pages: 436-442, Published: 25 AUG 2016
Archives of Endocrinology and Metabolism v.60 n.5 2016
Arquivos de Endocrinologia e Metabolismo
Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)
instacron:SBEM
ISSN: 2359-4292
Popis: 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). Subjects and 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. Conclusion 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.
Databáze: OpenAIRE
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