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*Obesity
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(Hypertension. 1997;30:848-853.)
© 1997 American Heart Association, Inc.


Articles

Moderately Obese, Insulin-Resistant Women Exhibit Abnormal Vascular Reactivity to Stress

Bong Hee Sung; Michael F. Wilson; Joseph L. Izzo, Jr; Lalaine Ramirez; ; Paresh Dandona

From the Department of Medicine, State University of New York, and Millard Fillmore Health System, Buffalo, NY.

Correspondence to Bong Hee Sung, PhD, Department of Medicine, Millard Fillmore Hospital, 3 Gates Circle, Buffalo, NY 14209. E-mail bsung{at}mfhs.edu


*    Abstract
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*Abstract
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Abstract To define the hemodynamic implications of insulin resistance (IR), we compared 10 normotensive, insulin-resistant women who had abnormal glucose tolerance tests with 10 age-matched healthy normotensive women with normal glucose tolerance tests with respect to mental arithmetic and handgrip responses. Hemodynamic variables obtained at baseline and during stress included heart rate, blood pressure, cardiac output, and systemic vascular resistance. The IR group weighed more (84 versus 66 kg). Screening BP was similar (123/72 versus 120/68 mm Hg, P=NS) between groups although baseline diastolic BP at testing day was higher in the IR group than control group (75 versus 65 mm Hg, P<.05). The IR group showed a significantly greater increase in systolic (18% versus 10%, P<.01) and diastolic (24% versus 12%, P<.01) blood pressure responses to mental stress than the control group. During mental stress, the control group demonstrated increased cardiac output (1.4 L/min) and decreased systemic vascular resistance (-120 dyne · s · cm-5), whereas IR subjects demonstrated increased systemic vascular resistance (119 dyne · s · cm-5; group difference, P<.02) with only a small increase in cardiac output (0.5 L/min). Handgrip also caused a greater increase in systemic vascular resistance in the IR group (252 versus 64 dyne · s · cm-5, P<.05), with a correspondingly greater increase in blood pressure than control subjects. Baseline blood pressure was correlated with weight (r=.41, P<.02) and stress blood pressure with fasting insulin (r=.51, P<.001) and glucose-to-insulin ratio (r=-.55, P<.001). We conclude that insulin resistance is associated with an exaggerated blood pressure response to stress; an enhanced vasoconstriction to stress may mediate this response. This hyperreactivity may be a marker for future hypertension in obese, normotensive, hyperinsulinemic individuals.


Key Words: insulin resistance • vascular resistance • blood pressure • stress


*    Introduction
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up arrowAbstract
*Introduction
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down arrowDiscussion
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Clustering of risk factors such as glucose intolerance, hypertension, obesity, and dyslipidemia are well established, and insulin resistance has been implied to mediate this association.1 2 3 4 5 6 Although increased sodium absorption and sympathetic stimulation have been reported with hyperinsulinemia, thus linking them to hypertension, experimental data from animal and human studies suggest that insulin has vasodilator properties.7 8 9 10 Despite the clear demonstration of insulin resistance associated with hypertension, the underlying mechanisms remain elusive.

Mental arousal and physical exertion are important sources of the physiological variation in blood flow. Individual differences in the hemodynamic response pattern to a psychological or physical stimulus have been implicated to be associated with disease outcome. Enhanced blood pressure (BP) response to stress has been reported to be a predictor for the future development of hypertension.11 12 13 14 Although insulin resistance is positively associated with hypertension, the relationship between insulin resistance and BP response to stress is currently unknown. Thus, investigation of whether insulin resistance influences the hemodynamic response to physiological modulators of vascular tone is of considerable importance.

Cardiovascular risk factors are highly prevalent in U.S. women. Studies show that 51% of white women and 79% of black women older than 45 years of age have hypertension.15 16 After 45 years of age, women are twice as likely as men to develop diabetes mellitus, and studies suggest that diabetes eliminates protection against coronary heart disease in premenopausal women.17 Thus, there is a particular need for paying attention to women who are at high risk. In this study, we examined the BP response to a mental arithmetic test (MAT) and handgrip test in healthy, normotensive, insulin-resistant women to identify early changes associated with insulin resistance and BP regulation.


*    Methods
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up arrowIntroduction
*Methods
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Study Population
Healthy, normotensive women were recruited through advertisements in the local community. Respondents were initially interviewed by telephone, and those who met the inclusion criteria underwent physical examination and BP screening. Study subjects did not have clinical or laboratory evidence of diabetes mellitus, hypercholesterolemia, or hypertension and were not taking any medication. Smokers were excluded from the study. The final study group consisted of 20 healthy, normotensive women (mean age, 42±11 years). The study was approved by the Institutional Review Board of the Millard Fillmore Hospital.

BP Screening Session
During the BP screening session, the subject sat quietly in a neutral office environment for 5 minutes. Afterward, a nurse attached an automated BP monitor (Colin Press-Mate, Colin Medical Instruments Corp), and five readings were obtained at 2-minute intervals. A normal BP (<140/90 mm Hg) from the screening was required for further testing.

Oral Glucose Tolerance Test
An oral glucose tolerance test (GTT) was performed after women had fasted 12 hours to determine insulin resistance. After a fasting blood sample was drawn, a 75-g oral glucose load was administered. Blood samples were obtained 30, 60, 90, and 120 minutes thereafter for determination of glucose and insulin levels. Hemodynamic measurements were made 30, 60, 90, and 120 minutes to examine the effects of acute glucose loading on systemic hemodynamics. Serum insulin level was measured by radioimmunoassay. The fasting glucose-to-insulin ratio was calculated as an index of insulin resistance.18

Study Protocol
The subjects reported to the laboratory at 8 am after 12 hours of fasting. All study subjects were requested to refrain from alcohol and caffeine at least 12 hours before the experiment. Subjects were equipped with electrocardiographic electrodes, an automated BP monitor (Colin Press-Mate), and an impedance cardiograph (RTI Bioimpedance Monitor). The protocol consisted of a 20-minute baseline, a 5-minute MAT, and a 3-minute handgrip test. There was a 10-minute recovery period between the MAT and handgrip test and after the handgrip test.

Mental Arithmetic Test
After subjects rested in a comfortable chair for 20 minutes, baseline hemodynamic measurements were made. Participants were instructed to serially subtract threes and sevens from a three-digit number during 5-minute periods. They were asked to make a subtraction out loud and provide answers as quickly and accurately as possible. When an incorrect answer was given, they were asked to repeat the subtraction. Hemodynamic measurements were initiated 1 minute after the onset of the task and recorded at 1-minute intervals during 5 minutes of serial subtraction and the recovery period.

Handgrip Test
After 10 minutes of recovery from the serial subtraction, prehandgrip baseline hemodynamic measurements were recorded, and maximal handgrip was determined. Subjects held one third of maximal grip load for 3 minutes. Cardiovascular measurements were made at baseline, 1-minute intervals during handgrip, and during recovery.

Hemodynamic Measurements
Cardiovascular variables consisting of heart rate, BP, stroke volume, cardiac output, and calculated systemic vascular resistance were measured. Stroke volume and cardiac output were measured by impedance cardiography from ensemble-averaged waveforms. Impedance cardiography permits repetitive determinations of such parameters in response to mental and physical stress under different stimulus conditions. The technique and data documenting its reliability and validity have been previously described.19

Statistical Analysis
Values are expressed as mean±SD. A multiple regression analysis with forward and backward stepping with interaction was performed to identify factors that influence BP at baseline and during stress of the study group. Next, two-way ANOVA or ANCOVA with repeated measures was performed to examine interaction between stress effect and group difference. Systat (Systat Inc, Evanston, IL) was used. A value of P<.05 was considered significant.


*    Results
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*Results
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Predictors of BP at Rest and During Stress
Table 1Down shows characteristics of the study group. The study population was all women between the ages of 24 and 61 years. Screening BP values were 102 to 135 mm Hg for systolic BP and 52 to 82 mm Hg for diastolic BP. Our study group had wide ranges of body weight (51 to 107 kg), body mass index (22 to 42 kg/m2), and fasting glucose (73 to 121 mg/dL) and fasting insulin (5.0 to 25.9 µU/mL) levels. A multiple regression analysis showed that body weight was significantly associated with baseline diastolic BP (r=.405, P=.02) but not with other hemodynamic variables. Body weight was also significantly correlated with fasting insulin level (r=.594, F=9.801, P=.006) and glucose level (r=.527, F=5.759, P=.03).


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Table 1. Group Characteristics

Serial subtraction is considered to be a moderately challenging cognitive stressor and has been used as a standard mental stress test. MAT increased systolic BP into the hypertensive range (>140 mm Hg) in 50% of study subjects. Six of 20 (30%) subjects also had diastolic BP greater than 90 mm Hg during MAT. We performed a multiple regression analysis which considers all variables simultaneously to detect significant factors influencing BP during mental stress. Table 2Down summarizes the results of multiple regression analysis. Fasting insulin level and the glucose-to-insulin ratio, which indicates insulin sensitivity, were significant predictors of the BP response to stress independent of age, body weight, and baseline BP. Fig 1ADown illustrates the relationship between fasting insulin levels and mean BP (r=.51, P<.001) response to MAT, and Fig 1BDown illustrates the significant inverse relationship between the glucose-to-insulin ratio and mean BP (r=-.55, P<.001) response to mental arithmetic.


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Table 2. Predictors of Change in Mean Blood Pressure During Mental Arithmetic Test: Summary of Multiple Regression Analysis



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Figure 1. Fasting insulin level (A) and glucose-to-insulin ratio (B) as an indicator of insulin sensitivity were plotted against change in mean blood pressure (BP) during mental arithmetic test. There was a significant positive correlation between changes in mean BP and insulin resistance (r=.515, P<.001) and negative correlation with glucose-to-insulin ratio (r=-.55, P<.001).

Group Classification
To examine the role of insulin resistance on the hemodynamic response to stress, we made a distinction between an insulin-resistant (IR) group and normal control group on the basis of the results of the GTT. Ten subjects had normal GTT and 10 had abnormal GTT. The abnormal GTT group had significantly lower glucose-to-insulin ratios than the normal GTT group (6±1.6 versus 11±3.4, P<.01), confirming reduced insulin sensitivity. Both groups were comparable in age and height, but the IR group had significantly higher body weight and body mass index than the control group (both P<.001). Although screening BP values were comparable between the IR and control groups (123/72 versus 120/68 mm Hg, P=NS), baseline diastolic BP values at the test session were significantly higher in the IR group than control group (75 versus 65 mm Hg, P<.05). Heart rate, systolic BP, cardiac output, and systemic vascular resistance were not significantly different between the groups.

Comparison of Hemodynamic Response Between IR and Control Groups
There was no significant difference between pre-MAT baseline and 10 minutes after MAT (pre-handgrip baseline) in any of the measured hemodynamic variables. Thus, we averaged both and used these averages as baseline values for the MAT and handgrip test. The IR group had a significantly higher systolic BP (18% versus 10%, P<.01) and diastolic BP (24% versus 12%, P<.01) response during MAT than the control group. MAT increased systolic BP into the hypertensive range (>140 mm Hg) in 9 of 10 (90%) subjects in the IR group compared with 1 of 10 (10%) subjects in control group. Five of 10 (50%) subjects in the IR group also had diastolic BP greater than 90 mm Hg, compared with none in the control group. Therefore, mean increments in systolic and diastolic BPs during MAT were significantly higher in the IR group than the control group (group-by-stress interaction, P<.02).

Handgrip also caused an increase in heart rate and BP for both groups. The IR group had a greater increase in diastolic BP (21 versus 13 mm Hg) and vascular resistance (250 versus 65 dyne · s · cm-5, P<.01) than the control group. In contrast, the control group had a greater increase in heart rate (17 versus 12 beats per minute; stress-by-group interaction, P<.05) and cardiac output (0.85 versus 0.4 L/min, P=.03) than the IR group. Thus, the IR group showed a pattern of limited flow and enhanced vascular resistance during stress. Handgrip test also increased systolic BP into hypertensive ranges in all subjects of the IR group and 6 of 10 control subjects. Eight members of the IR group (80%), compared with 2 of the control group (20%), had diastolic BP greater than 90 mm Hg during the handgrip test. Table 3Down summarizes baseline hemodynamics and hemodynamic responses to MAT and handgrip.


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Table 3. Comparison of Hemodynamics at Baseline and During Stress

Next, we examined the underlying mechanism of increased BP during MAT and the handgrip test. Fig 2Down compares changes in cardiac out put and systemic vascular resistance during mental and physical stress between the IR and control groups. The control group raised BP by increasing cardiac output (1.4 L/min) and decreasing systemic vascular resistance (-120 dyne · s · cm-5). In contrast, there was a significant increase in vascular resistance and insignificant increase in cardiac output during mental stress in the IR group. This paradoxical increase in vascular resistance response to mental stress caused an enhanced BP response during MAT. Handgrip also caused a greater increase in systemic vascular resistance in the IR group (252 versus 64 dyne · s · cm-5, P<.05), with a correspondingly greater increase in BP than in control subjects.



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Figure 2. Percent change in hemodynamic response pattern to mental arithmetic test (MAT) (A) and handgrip test (B) in subjects with insulin resistance (IR) and control subjects. The IR group had significantly higher mean blood pressure (BP) response to both stressors than the control group. The IR group showed a paradoxical systemic vascular resistance (SVR) response to mental stress and enhanced vascular resistance to handgrip.


*    Discussion
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up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowReferences
 
Mental arousal and physical exertion are two common physiological stressors that can elicit different hemodynamic response patterns. In contrast to handgrip and cold pressor tests, MAT has been known to increase forearm blood flow and decrease systemic vascular resistance.20 Our insulin-resistant group showed a paradoxical systemic vascular resistance response to MAT and enhanced vascular resistance to the handgrip test. This abnormal vascular reactivity caused an exaggerated BP response to mental and physical stress in an obese, normotensive, insulin-resistant population of women.

A potential explanation for this enhanced vasoconstriction in the IR group may be a lack of insulin-mediated vasodilation. Recent observations suggest that an impaired cellular response to insulin predisposes to increased vascular smooth muscle tone.21 In vitro and animal studies have shown that insulin has vasodilating properties, and insulin attenuates the vasoconstrictor and inotropic responses to various agonists.7 22 Thus, it appears that insulin normally modulates or attenuates vascular smooth muscle contractile responses to vasoactive substances and impaired insulin-mediated vasodilation may be instrumental in causing enhanced vasoconstriction in this study.

Insulin resistance accompanies compensatory hyperinsulinemia. Hence, hypertension in the insulin-resistant state generally has been attributed to hyperinsulinemia with resultant increases in sympathetic nervous system activity. However, we did not observe significant hemodynamic changes after acute glucose loading in either the IR or control group. Thus, this indicates that transient hyperinsulinemia does not affect hemodynamics. Our data are consistent with the findings of other investigators. Hall et al23 failed to observe an increase in BP when normal dogs were given a chronic infusion of insulin with or without norepinephrine. Anderson et al24 reported that modest increases in plasma insulin with euglycemia produced marked increases in muscle sympathetic nerve activity and plasma norepinephrine levels in normotensive individuals. Despite this sympathetic stimulation, forearm vascular resistance fell and mean arterial pressure did not rise. Similarly, Berne et al25 also demonstrated that insulin increased muscle sympathetic nerve activity and plasma norepinephrine levels without significant changes in arterial pressure.

A possible physiological role for insulin-mediated vasodilatation has been suggested by Laakso et al.26 They have demonstrated that insulin resistance in the skeletal muscle of obese individuals is partly due to a reduced response of skeletal muscle blood flow to insulin. Their findings prompted the speculation that insulin reduces vascular resistance and increases blood flow in skeletal muscle. Thus, resistance to the vasodilator effects of insulin rather than hyperinsulinemia may be primarily responsible for the abnormal vascular reactivity shown by our IR group. However, effects of chronic hyperinsulinemia on vascular smooth muscle should not be excluded. Hyperinsulinemia has been reported to increase renal sodium retention and enhance plasma renin activity, which may elevate intracellular free calcium in vascular smooth muscle, with consequent hypertrophy.27 28 Insulin and insulin-like growth factors are also mitogens capable of stimulating smooth muscle proliferation29 that could result in vascular smooth muscle hypertrophy and ultimately contribute to structural and functional changes. Established hypertension both with and without disturbances of glucose metabolism is characterized by increased systemic vascular resistance and normal or subnormal cardiac output. Our normotensive IR group exhibited enhanced vasoconstriction in response to stress, and this abnormal vascular reactivity may be an early indicator of the impairment of vascular smooth muscle that may lead to elevated vascular resistance.

Although the origin of insulin resistance is not clearly understood, insulin resistance is commonly found in otherwise healthy individuals. As many as 25% of the normal population are reported as being insulin resistant.30 One of the noteworthy findings of the present study is that a simple MAT or handgrip test raised BP to a hypertensive range in the majority of our healthy, normotensive IR group. This episodic increase in BP in response to psychological and physical stressors can have a significant effect on the cardiovascular system in this population. Previously, we reported that premenopausal women had a reduced BP response to mental stress and suggested vasodilator effects of estrogen in BP regulation in this population.31 In the present study, most of our IR subjects were premenopausal women; however, their BP response to stress was greatly exaggerated. This hyperreactivity may be a marker for future hypertension in an obese, normotensive, insulin-resistant population.

The current understanding of hypertension is that it is a syndrome of cardiovascular risk factors rather than a disease of numbers. This concept necessitates altering our approach to the management of hypertension. In addition to regular weight reduction and dietary consultation in the healthy, normotensive, insulin-resistant population, aggressive means of reducing insulin resistance may be indicated to prevent future hypertension and diabetes mellitus in this high-risk population.

Our IR group was significantly obese compared with the control group. Thus, obesity was an obvious confounder in this study. We had a difficult time finding normal-weight, IR subjects. Eighty percent of obese people were reported to be glucose intolerant, and the overlap of the two conditions cannot be avoided. Studies show that within obese populations, hyperinsulinemia correlates with BP.32 Furthermore, recent evidence indicates that insulin is associated with hypertension even in nonobese people,33 suggesting a more definite role of insulin resistance in BP regulation. In the present study, body weight was significantly associated with baseline diastolic BP, fasting glucose, and insulin levels but not with changes in BP during stress. However, our study group reflected more mild to moderate obesity, not severe obesity. In this range, plasma insulin levels and the glucose-to-insulin ratio were significant predictors of changes in BP during stress. Because of the relatively small sample size of the present study, the results need to be confirmed with a larger study population.

In summary, we have demonstrated that insulin resistance is associated with an exaggerated BP response to mental and physical stress in obese, normotensive women. The underlying mechanism mediating this response was enhanced vasoconstriction, which may be caused by reduced insulin-mediated vasodilation. In addition to resistance to the vasodilator effects of insulin, resultant chronic hyperinsulinemia may also contribute to structural and functional changes in smooth muscle. Our study also demonstrated that an abnormal vascular reactivity is already present in obese, normotensive, insulin-resistant women before established hypertension and thus may be a marker for future hypertension.


*    Acknowledgments
 
We thank Wendy Orlowski, RN, and Mary Bateson, RN, for their assistance in this investigation.

Received September 18, 1996; first decision March 6, 1997; accepted March 17, 1997.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 
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15. National Center for Health Statistics. Health: United States, 1990. Hyattsville, Md: US Public Health Service, Centers for Disease Control; 1991.

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17. Barrett-Connor EL, Cohn BA, Wingard DL, Edelstein S. Why is diabetes mellitus a stronger risk factor for fatal ischemic heart disease in women than in men? The Rancho Berbardo study. JAMA. 1991;265:627-631.[Abstract/Free Full Text]

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19. Wilson MF, Sung BH, Pincomb GA, Lovallo WR. Simultaneous stroke volume measurement by impedance and nuclear ventriculography: comparison at rest and during exercise intervention. Ann Biomed Eng. 1989;17:475-482.[Medline] [Order article via Infotrieve]

20. Allen MT, Obrist PA, Sherwood A, Crowell MD. Evaluation of myocardial and peripheral vascular responses during reaction time, mental arithmetic, and cold pressor tasks. Psychophysiology. 1989;24:648-656.

21. Standley PR, Bakir MH, Sowers JR. Vascular insulin abnormalities, hypertension and accelerated atherosclerosis. Am J Kidney Dis. 1993;21(suppl 3):39-46.

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23. Hall JE, Coleman TG, Mizelle HL, Smith MJ Jr. Chronic hyperinsulinemia and blood pressure regulation. Am J Physiol. 1990;258:F722-F731.[Abstract/Free Full Text]

24. Anderson EA, Hoffman RP, Balon TW, Sinkey CA, Marks AL. Hyperinsulinemia produces both sympathetic neural activation and vasodilatation in normal humans. J Clin Invest. 1991;87:2246-2252.

25. Berne C, Fagius J, Pollare T, Hjemdahl P. The sympathetic response to euglycemic hyperinsulinemia. Diabetologia. 1992;35:873-879.[Medline] [Order article via Infotrieve]

26. Laakso M, Edelman SV, Bretchel G, Baron AD. Decreased effect of insulin to stimulate skeletal muscle blood flow in obese man: a novel mechanism for insulin resistance. J Clin Invest. 1990;85:1844-1853.

27. Frandsen HA, Snitker S, Christensen NJ, Masbad S, Lielsen SL. Effects of insulin on muscle sympathetic nerve activity during euglycemia and hypoglycemia. Circulation. 1991;84(suppl II):II-267.

28. Draznin B. Cytosolic calcium and insulin resistance. Am J Kidney Dis. 1993;21(suppl 3):32-38.

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33. Bonora E, Zavaroni I, Alpi O, Pezzarossa A, Bruschi F, Dall'Aglio E, Guerra L, Butturini U. Relationship between blood pressure and plasma insulin in non-obese and obese non-diabetic subjects. Diabetologia. 1987;30:719-723.[Medline] [Order article via Infotrieve]




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