2009
DOI: 10.1590/s0004-27302009000300007
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Abstract: Objective: To evaluate the impact of abdominal fat and insulin resistance on arterial hypertension of non-obese women. Methods: Thirty-five non-obese women (NO), age 35-68 years were studied, and divided into two groups according to the presence of hypertension (BP ≥ 140 x 90 mmHg) ( HT = hypertensive; NT = normotensive). Leptin measurement and oral glucose tolerance test (OGTT) to assess insulin were performed in these patients. A CT-scan was used to evaluate visceral (VF) and subcutaneous abdominal fat (SCF)… Show more

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Cited by 17 publications
(20 citation statements)
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“…In other studies on visceral fat measured by CT 1,[19][20][21][22][23] , the same biochemical tests were used only to characterize the population, categorize risk factors for a certain morbidity or correlate with other indicators, limiting the comparison of such results with those presented in this study.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In other studies on visceral fat measured by CT 1,[19][20][21][22][23] , the same biochemical tests were used only to characterize the population, categorize risk factors for a certain morbidity or correlate with other indicators, limiting the comparison of such results with those presented in this study.…”
Section: Discussionmentioning
confidence: 99%
“…Androgenic obesity, represented by the excess deposition of visceral abdominal adipose tissue, is associated with a higher risk of metabolic and hemodynamic disorders and favors the occurrence of events, such as arterial hypertension, atherogenic cardiovascular disease, diabetes mellitus, gout and coronary disease [1][2][3] , increasing the need for medication use and interfering with the quality of life.…”
Section: Introductionmentioning
confidence: 99%
“…Insulin resistance was calculated using the homeostasis model assessment of insulin resistance (HOMA-IR) [9].…”
Section: Laboratory Measurmentsmentioning
confidence: 99%
“…Although overestimating the percentage of fat in lean individuals and underestimate it in obese (Sun et al, 2005), proves useful for predicting metabolic risk (including IR) as well as BMI and waist circumference (Lee et al, 2008). Through the BIA, it is possible to calculate the CDI (central fat distribution index), which assesses the impact of subcutaneous fat in the central fat distribution, and can be measured by dividing the area of abdominal subcutaneous fat mass by total fat (Silva et al, 2009). This measure seems to be relevant in that, according to some studies (Silva et al, 2009;Van Harmelen et al, 1998), the main source of leptin is the abdominal subcutaneous adipose tissue, either by mass effect -the subcutaneous adipose tissue is the major fat depot -as to produce more leptin (larger cell size and leptin gene expression) that omental adipose tissue.…”
Section: Prevalence (%)mentioning
confidence: 99%