# Abdominal Obesity Is Characterized by Higher Pulse Pressure: Possible Role of Free Triiodothyronine

Authors: Giovanni De Pergola; Adele Nardecchia; Alida Ammirati; Domenico Caccavo; Serena Bavaro; Franco Silvestris
Journal: Journal of Obesity
 (2012)

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## Abstract

Objective. This study examined whether obesity is characterized by higher 24 h mean pulse pressure (24 h mean SBP-24 h mean DBP) and whether free thyroid hormones (FT3 and FT4) have a relationship with 24 h mean pulse pressure. Methods. A total of 231 euthyroid overweight and obese patients, 103 women and 128 men, aged 18–68 yrs, normotensive (n=69) or with recently developed hypertension (n=162), never treated with antihypertensive drugs, were investigated. Fasting insulin, TSH, FT3, FT4, glucose, and lipid serum concentrations were measured. Waist circumference was measured as an indirect parameter of central fat accumulation. Ambulatory blood pressure monitoring (ABPM) was performed. Results. 24 h mean pulse pressure (PP) showed a significant positive correlation with BMI (P<0.001), waist circumference (P<0.001), and FT3 (P<0.001) and insulin serum levels (P<0.05). When a multivariate analysis was performed, and 24 h PP was considered as the dependent variable, and waist circumference, FT3, insulin, male sex, and age as independent parameters, 24 h mean PP maintained a significant association only with waist circumference (P<0.001) and FT3 levels (P<0.05). Conclusion. Our results suggest that FT3  per se may contribute to higher pulse pressure in obese subjects.


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## Body

## 1. Introduction

Overweight and obesity are associated with elevated blood pressure, and high percentage of hypertensive patients are overweight and obese [1]. Subjects gaining weight are at higher risk for hypertension [2, 3], whereas the weight reduction decreases blood pressure levels as well as the complications related to hypertension [4]. Obesity has also been recognized as an independent risk factor for arterial hypertension [5], and, in particular, the Framingham Heart Study showed that approximately 65% to 75% of overweight and obese patients are at risk for hypertension [6]. Examining 3216 outpatient subjects who were never treated with antihypertensive medication, Kotsis et al. showed that confirmed ambulatory blood pressure hypertension was found to be higher in both overweight and obese individuals compared with normal weight subjects [7]. As far as fat distribution is concerned, visceral fat has the most important impact on blood pressure elevation [8].Concerning the mechanism relating obesity to hypertension, most obese humans have increased sympathetic activity [9], and some authors have shown that sympathetic activation is higher in subjects with central than with peripheral phenotype of obesity [10, 11]. Moreover, most obese patients have hyperinsulinemia, and it is well known that insulin stimulates sympathetic activity [9] and that this effect occurs even when the insulin levels are included within the physiological range [12]. The renin-angiotensin-aldosterone system (RAS) has also been identified as an additional abnormality that can explain the association between obesity and hypertension [13–15]. Lastly, it has been shown that blood pressure and obesity covariation are mediated by circulating high levels of leptin, suggesting that the body fat has only a weak independent effect on blood pressure variation after adjustment for leptin levels [16].It has been also shown that hyperinsulinemia is determinant for unfavourable metabolic aspects of metabolic syndrome, whereas catecholamines seem to be important for the development of impaired glucose metabolism and hypertension [17].A recent study performed in a cohort of overweight and obese patients, never treated by antihypertensive treatment, showed that obesity is associated to the tendency to higher systolic blood pressure and lower diastolic blood pressure, at least before that hypertension becomes stable, corresponding to profound alterations in artery structural and functional characteristics [18]. The same study has shown that daily noradrenaline production contributes to higher 24 h mean systolic blood pressure levels [18]. These results seem to suggest that obesity per se is associated to higher pulse pressure, that is, the difference between systolic and diastolic blood pressure.Interestingly, FT3 serum levels are higher in women with abdominal obesity and are independently associated with waist circumference [17]. Noteworthy, systolic blood pressure is typically elevated, and diastolic pressure is often low in patients of thyrotoxicosis, which results in a higher pulse pressure, and these findings are attributable to increased cardiac output, stroke volume, heart rate, and cardiac contractility and a marked fall in systemic vascular resistance [19]. By contrast, hypothyroidism causes opposite changes [19]. Therefore, it may well be that patients with abdominal obesity having higher FT3 serum levels have also higher pulse pressure. However, at the best of our knowledge, no study has investigated a possible significant relationship between free thyroid hormones and blood pressure levels in obesity. The present study was thus designed to address this specific question. In particular, we examined whether TSH, FT3, and FT4 serum levels may predict 24 h  mean systolic and diastolic blood pressure levels and pulse pressure in a cohort of 231 euthyroid overweight and obese patients, aged 18–68 yrs, who had never received antihypertensive medication, independently of other parameters.


## 2. Methods

### 2.1. Subject Population

The patients were consecutively enrolled at the Outpatient Clinic for the Study of Hypertension, Department of Internal Medicine and Clinical Oncology, University of Bari, School of Medicine. Concerning the inclusion criteria, they were recruited at the first medical examination in the absence of antihypertensive drugs. In addition, they showed a BMI higher than 25.0. All of them were addressed to the Outpatient Clinic by their general practitioners because of a recent increase of their ambulatory blood pressure levels.To obtain the selected population for this study, patients with the following disorders were excluded: endocrinological diseases, diabetes mellitus, stroke, transient ischemic attack, angina pectoris, heart infarction, claudicatio intermittens, congenital heart disease, or ECG abnormalities. Smokers and patients with impaired FT3 and FT4 levels were also excluded.Thus, the study enrolled 231 patients, including 103 women and 128 men, aged 18–68 yrs. The trial protocol has been approved by an ethical committee and meets the standards of the Declaration of Helsinki in its revised version of 1975 and its amendments of 1983, 1989, and 1996.All patients reported to have normal fasting blood glucose levels before enrolment into the study, but 7 had a fasting blood glucose ≥ 126 mg/dL, but lower than 140 mg/dL.All study subjects were judged in good health on the basis of physical examination, medical history, routine blood work, urinalysis, and electrocardiogram. None of patients were receiving any medication (including oral contraceptives for premenopausal women and hormone replacement therapy for postmenopausal women) since at least three months before the enrollment into the study. Moreover, none of them had been involved into intensive or competitive physical activity prior to the enrollment. During the testing period, all subjects were asked to keep their normal mixed diet and not to perform any sporting activity. The day before the measurement, they were abstained from both caffeinated and alcoholic drinks but maintained their normal diet.


#### 2.1.1. Anthropometric Measurements and General Data

Body weight was measured to the nearest kg. Height was determined to the nearest cm. BMI was calculated as the weight (kg) divided by the square of height (m). Waist circumference was measured at the narrowest part of the abdomen, that is, at the natural indentation between the 10th rib and the iliac crest (minimum waist).


#### 2.1.2. Blood Pressure Measurements

Outpatient Clinic blood pressure was recorded on at least three different occasions, using a mercury manometer with an appropriate cuff size. Ambulatory blood pressure was measured with 15-minute intervals from 07:00 to 23:00 and with 30-minute intervals from 23:00 to 07:00 for consecutive 24 h, starting from 08:30 (Ultralite ABPM Monitor 90217, SpaceLabs Media Inc, Redmond, WA). Heart rate was measured over 24 hrs by the same instrument. All ABPM measurements were valid, meaning that <30% of the measurements were missing, data were lacking for an interval of <2 h, and the nighttime sleep period was never <6 h or >12 h.According to the 2007 ESH-ESC Practice Guidelines for the Management of Arterial Hypertension [20], hypertension was confirmed when 24 h mean systolic blood pressure was ≥125 mmHg and/or 24 h mean diastolic blood pressure was ≥80 mmHg. Thus, 162 subjects were affected by hypertension, whereas 69 individuals were normotensive. Pulse pressure was formally defined as the daily mean systolic pressure minus the daily mean diastolic pressure.


#### 2.1.3. Hormone and Metabolic Parameters

Blood samples were drawn between 08:00 h and 09:00 h after an overnight fast, within one week from the day of the ambulatory blood pressure measurement. Serum insulin concentrations were measured by radioimmunoassay (Behring, Scoppitto, Italy), and intra- and interassay coefficients of variation were 3.7% and 7.5%, respectively. Serum TSH, FT3, and FT4 serum levels were measured as previously described [21]. Plasma glucose levels were determined by the glucose-oxidase method (Sclavo, Siena, Italy), and plasma lipids (triglycerides, total cholesterol, and HDL cholesterol) were measured by an automatic colorimetric method (Hitachi; Boehringer Mannheim, Mannheim, Germany).Insulin resistance was assessed by using the homeostasis model assessment (HOMAIR) [22].


### 2.2. Statistics

Results were calculated as mean and standard deviation (sd) for all parameters. Significant relationships between 24 h mean SBP, 24 h mean DBP, and 24 h mean PP and all other parameters were evaluated by Pearson’s correlation coefficient. A multiple regression analysis was performed to test the joint effect of different variables on 24 h mean SBP or 24 h mean DBP or 24 h mean PP.P values of <0.05 were considered statistically significant. Statistical power was analysed using STATISTICA Power Analysis (StatSoft Inc., Tulsa, Oklahoma), and the statistical analyses were made using STATISTICA 6.1 software (StatSoft Inc., Tulsa, Oklahoma).


## 2.1. Subject Population

The patients were consecutively enrolled at the Outpatient Clinic for the Study of Hypertension, Department of Internal Medicine and Clinical Oncology, University of Bari, School of Medicine. Concerning the inclusion criteria, they were recruited at the first medical examination in the absence of antihypertensive drugs. In addition, they showed a BMI higher than 25.0. All of them were addressed to the Outpatient Clinic by their general practitioners because of a recent increase of their ambulatory blood pressure levels.To obtain the selected population for this study, patients with the following disorders were excluded: endocrinological diseases, diabetes mellitus, stroke, transient ischemic attack, angina pectoris, heart infarction, claudicatio intermittens, congenital heart disease, or ECG abnormalities. Smokers and patients with impaired FT3 and FT4 levels were also excluded.Thus, the study enrolled 231 patients, including 103 women and 128 men, aged 18–68 yrs. The trial protocol has been approved by an ethical committee and meets the standards of the Declaration of Helsinki in its revised version of 1975 and its amendments of 1983, 1989, and 1996.All patients reported to have normal fasting blood glucose levels before enrolment into the study, but 7 had a fasting blood glucose ≥ 126 mg/dL, but lower than 140 mg/dL.All study subjects were judged in good health on the basis of physical examination, medical history, routine blood work, urinalysis, and electrocardiogram. None of patients were receiving any medication (including oral contraceptives for premenopausal women and hormone replacement therapy for postmenopausal women) since at least three months before the enrollment into the study. Moreover, none of them had been involved into intensive or competitive physical activity prior to the enrollment. During the testing period, all subjects were asked to keep their normal mixed diet and not to perform any sporting activity. The day before the measurement, they were abstained from both caffeinated and alcoholic drinks but maintained their normal diet.


### 2.1.1. Anthropometric Measurements and General Data

Body weight was measured to the nearest kg. Height was determined to the nearest cm. BMI was calculated as the weight (kg) divided by the square of height (m). Waist circumference was measured at the narrowest part of the abdomen, that is, at the natural indentation between the 10th rib and the iliac crest (minimum waist).


### 2.1.2. Blood Pressure Measurements

Outpatient Clinic blood pressure was recorded on at least three different occasions, using a mercury manometer with an appropriate cuff size. Ambulatory blood pressure was measured with 15-minute intervals from 07:00 to 23:00 and with 30-minute intervals from 23:00 to 07:00 for consecutive 24 h, starting from 08:30 (Ultralite ABPM Monitor 90217, SpaceLabs Media Inc, Redmond, WA). Heart rate was measured over 24 hrs by the same instrument. All ABPM measurements were valid, meaning that <30% of the measurements were missing, data were lacking for an interval of <2 h, and the nighttime sleep period was never <6 h or >12 h.According to the 2007 ESH-ESC Practice Guidelines for the Management of Arterial Hypertension [20], hypertension was confirmed when 24 h mean systolic blood pressure was ≥125 mmHg and/or 24 h mean diastolic blood pressure was ≥80 mmHg. Thus, 162 subjects were affected by hypertension, whereas 69 individuals were normotensive. Pulse pressure was formally defined as the daily mean systolic pressure minus the daily mean diastolic pressure.


### 2.1.3. Hormone and Metabolic Parameters

Blood samples were drawn between 08:00 h and 09:00 h after an overnight fast, within one week from the day of the ambulatory blood pressure measurement. Serum insulin concentrations were measured by radioimmunoassay (Behring, Scoppitto, Italy), and intra- and interassay coefficients of variation were 3.7% and 7.5%, respectively. Serum TSH, FT3, and FT4 serum levels were measured as previously described [21]. Plasma glucose levels were determined by the glucose-oxidase method (Sclavo, Siena, Italy), and plasma lipids (triglycerides, total cholesterol, and HDL cholesterol) were measured by an automatic colorimetric method (Hitachi; Boehringer Mannheim, Mannheim, Germany).Insulin resistance was assessed by using the homeostasis model assessment (HOMAIR) [22].


## 2.1.1. Anthropometric Measurements and General Data

Body weight was measured to the nearest kg. Height was determined to the nearest cm. BMI was calculated as the weight (kg) divided by the square of height (m). Waist circumference was measured at the narrowest part of the abdomen, that is, at the natural indentation between the 10th rib and the iliac crest (minimum waist).


## 2.1.2. Blood Pressure Measurements

Outpatient Clinic blood pressure was recorded on at least three different occasions, using a mercury manometer with an appropriate cuff size. Ambulatory blood pressure was measured with 15-minute intervals from 07:00 to 23:00 and with 30-minute intervals from 23:00 to 07:00 for consecutive 24 h, starting from 08:30 (Ultralite ABPM Monitor 90217, SpaceLabs Media Inc, Redmond, WA). Heart rate was measured over 24 hrs by the same instrument. All ABPM measurements were valid, meaning that <30% of the measurements were missing, data were lacking for an interval of <2 h, and the nighttime sleep period was never <6 h or >12 h.According to the 2007 ESH-ESC Practice Guidelines for the Management of Arterial Hypertension [20], hypertension was confirmed when 24 h mean systolic blood pressure was ≥125 mmHg and/or 24 h mean diastolic blood pressure was ≥80 mmHg. Thus, 162 subjects were affected by hypertension, whereas 69 individuals were normotensive. Pulse pressure was formally defined as the daily mean systolic pressure minus the daily mean diastolic pressure.


## 2.1.3. Hormone and Metabolic Parameters

Blood samples were drawn between 08:00 h and 09:00 h after an overnight fast, within one week from the day of the ambulatory blood pressure measurement. Serum insulin concentrations were measured by radioimmunoassay (Behring, Scoppitto, Italy), and intra- and interassay coefficients of variation were 3.7% and 7.5%, respectively. Serum TSH, FT3, and FT4 serum levels were measured as previously described [21]. Plasma glucose levels were determined by the glucose-oxidase method (Sclavo, Siena, Italy), and plasma lipids (triglycerides, total cholesterol, and HDL cholesterol) were measured by an automatic colorimetric method (Hitachi; Boehringer Mannheim, Mannheim, Germany).Insulin resistance was assessed by using the homeostasis model assessment (HOMAIR) [22].


## 2.2. Statistics

Results were calculated as mean and standard deviation (sd) for all parameters. Significant relationships between 24 h mean SBP, 24 h mean DBP, and 24 h mean PP and all other parameters were evaluated by Pearson’s correlation coefficient. A multiple regression analysis was performed to test the joint effect of different variables on 24 h mean SBP or 24 h mean DBP or 24 h mean PP.P values of <0.05 were considered statistically significant. Statistical power was analysed using STATISTICA Power Analysis (StatSoft Inc., Tulsa, Oklahoma), and the statistical analyses were made using STATISTICA 6.1 software (StatSoft Inc., Tulsa, Oklahoma).


## 3. Results

Table1 shows general and anthropometric parameters, ABPM data, and metabolic and hormone variables in overweight and obese subjects under study.Table 1
General and anthropometric parameters, ABPM data, and metabolic and hormone variables in subjects under study (n=231).
Age (yrs)
42.6
±
10.8
Body mass index (kg·m−2)
34.2
±
6.8
Waist circumference (cm)
111.3
±
14.5
Systolic blood pressure (mmHg)
132.9
±
8.6
Diastolic blood pressure (mmHg)
83.2
±
7.0
Heart rate (beats per minute)
78.4
±
8.5
Fasting blood glucose (mg/dL)
94.9
±
13.2
Fasting insulin (μUI/mL)
32.0
±
21.9
HOMAIR
7.67
±
5.97
Triglycerides (mg/mL)
125.5
±
64.5
HDL cholesterol (mg/mL)
43.1
±
11.7
Total cholesterol (mg/mL)
198.1
±
44.2
TSH (μUI/mL)
1.72
±
0.94
FT3 (pg/mL)
3.25
±
0.42
FT4 (pg/mL)
10.8
±
1.40Table2 shows the relationship between 24 h mean systolic (SBP) and 24 h mean diastolic blood pressure (DBP) with all other parameters. SBP showed a direct significant association only with waist circumference and FT3 levels, whereas DBP showed a significant relationship only with age (positive) and BMI (negative).Table 2
Pearson correlation coefficients of 24-h mean systolic (SBP) and 24-h mean diastolic blood pressure (DBP) with general, anthropometric, metabolic variables in subjects under study (n=231).
SBP (mmHg)
DBP (mmHg)
Age (yrs)
0.116
0.214***
Body mass index (kg·m−2)
0.110
−0.161*
Waist circumference (cm)
0.180**
−0.097
Fasting blood glucose (mg/dL)
0.005
−0.002
Fasting insulin (μUI/mL)
0.081
−0.02
HOMAIR
0.069
−0.025
Triglycerides (mg/mL)
0.090
0.053
HDL cholesterol (mg/mL)
0.004
0.003
Total cholesterol (mg/mL)
0.058
0.076
TSH (μUI/mL)
−0.068
−0.108
FT3 (pg/mL)
0.158*
0.019
FT4 (pg/mL)
0.107
0.128
*P<0.05, **P<0.01, ***P<0.001.
HOMAIR: homeostasis model assessment.Table3 shows the results of a linear multivariate analysis, with 24 h SBP considered as the dependent variable and FT3 levels, male sex, and age as independent parameters (adjusted R2=0.054, P<0.001). FT3 levels, male sex, and age showed an independent significant association with 24 h SBP; however, when waist circumference was also entered into the analysis (adjusted R2=0.071, P<0.001), only age and waist circumference maintained an independent association with 24 h systolic blood pressure (Table 4).Table 3
Determinants of 24-h systolic blood pressure (SBP)  in the multiple linear regression model.
Variable
SBP (mmHg)
β
P value
FT3 (pg/mL)
0.163
0.015
Male sex
0.142
0.034
Age (yrs)
0.179
0.008Table 4
Determinants of 24 h systolic blood pressure (SBP)  in the multiple linear regression model.
Variable
SBP (mmHg)
β
P-value
FT3 (pg/mL)
0.126
ns
Male sex
0.120
ns
Age (yrs)
0.195
0.003
Waist circumference (cm)
0.152
0.026Table5 shows the relationship between 24 h pulse pressure (PP) with all other parameters. 24 h PP showed a significant positive association with BMI, waist circumference, insulin and FT3 levels.Table 5
Pearson correlation coefficients of 24 h mean pulse pressure (PP) with general, anthropometric, metabolic, and hormone variables in overweight and obese subjects under study (n=231).
Pulse pressure (mmHg)
Age (yrs)
0.051
Body mass index (kg·m−2)
0.332***
Waist circumference (cm)
0.370***
Fasting blood glucose (mg/dL)
−0.005
Fasting insulin (μUI/mL)
0.148*
HOMAIR
0.152*
Triglycerides (mg/mL)
0.078
HDL cholesterol (mg/mL)
0.003
Total cholesterol (mg/mL)
0.007
TSH (μUI/mL)
0.011
FT3 (pg/mL)
0.215***
FT4 (pg/mL)
0.025
*P<0.05, **P<0.01, ***P<0.001.Table6 shows the results of a linear multivariate analysis, with 24 h PP considered as the dependent variable and male sex, age, and insulin and FT3 levels as independent parameters (adjusted R2=0.137, P<0.001). Only FT3 levels and waist circumference maintained an independent significant association with 24 h PP. Again, when HOMAIR was introduced in the multivariate analysis in substitution of insulin, only FT3 levels and waist circumference maintained an independent significant association with 24 h PP (data not shown).Table 6
Determinants of 24 h pulse pressure (PP)  in the multiple linear regression model.
Variable
PP (mmHg)
β
P value
FT3 (pg/mL)
0.136
0.040
Male sex
0.059
ns
Age (yrs)
0.024
ns
Fasting insulin (μUI/mL)
−0.066
ns
Waist circumference (cm)
0.380
<0.001


## 4. Discussion

At the best of our knowledge, this is the first study examining the relationship between free thyroid hormones and 24 h mean blood pressure levels in euthyroid overweight and obese subjects, who had never received antihypertensive medication.On the basis of a direct independent relationship between daily mean pulse pressure and waist circumference, this study shows that abdominal obesity is characterized by higher pulse pressure, at least before artery remodeling and hypertension stabilization, thus confirming the results of a recent study performed by our group [18].The strongest novel finding of this study was the direct relationship between FT3 levels and pulse pressure, independently of age, sex, insulin levels, and HOMAIR. These results support the hypothesis that higher FT3 circulating levels per se may be responsible for an increase in systolic blood pressure and a decrease of diastolic blood pressure in subjects with abdominal obesity. The relationship between insulin levels (or HOMAIR) and pulse pressure was not maintained when FT3 levels were introduced in the multiple regression analysis, thus apparently excluding that insulin or insulin resistance has a significant role in the association between pulse pressure and abdominal obesity or between pulse pressure and FT3 levels.We found also a direct relationship between FT3 levels and daily mean SBP, independently of age and sex.All these results are in line with the effects of T3 on systolic and diastolic blood pressure. In fact, T3 is well known to increase the effect of catecholamines on cardiac output, stroke volume, heart rate, and cardiac contractility [23]. Moreover, Napoli et al. have shown that T3 directly enhances endothelium-dependent vasodilation on resistance vessels [24]. In addition, thyroid hormones have been shown to have direct vasodilatory effects on vascular muscle cells [25], endothelial dysfunction may be more prevalent in hypothyroid patients [26, 27], and increased diastolic blood pressure and higher arterial stiffening are present in subclinical hypothyroid patients [28].Since FT3 serum levels have been shown to be higher in obese women with higher waist circumference [17], the effects of higher FT3 concentrations on the heart and on resistance vessels may contribute to the relationship between waist circumference and pulse pressure in our overweight and obese patients.It is to note that the positive association between FT3 levels and daily mean SBP was not maintained when data were adjusted for waist circumference in multiple regression analysis, suggesting that the increase of FT3 levels and the possible influence of higher FT3 levels on systolic in obese subjects are just secondary to central fat accumulation.In conclusion, the present study, performed in overweight and obese subjects, either normotensive or with recently discovered hypertension, shows that FT3 circulating levels are positively associated with pulse pressure, independently of age, sex, insulin levels, and insulin resistance. These results support the hypothesis that higher FT3 circulating levels per se may be responsible for an increase in systolic blood pressure and a decrease of diastolic blood pressure in subjects with abdominal obesity.



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*Source: 656303-2012-10-02.xml*