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Am J Hypertens ; 32(10): 945-952, 2019 09 24.
Article in English | MEDLINE | ID: mdl-31136645

ABSTRACT

BACKGROUND: Early identification of individuals at increased cardiometabolic risk is an essential step to improve primary preventive interventions. Excessive maximal exercise blood pressure (EBP) has been associated with several adverse outcomes. We examined how submaximal EBP could help us to identify individuals with a deteriorated cardiometabolic risk profile. METHODS: Data from an observational study of 3,913 participants from a convenience sample were used. Subjects included in the analyses completed a comprehensive cardiometabolic health assessment (resting blood pressure [BP]; waist circumference; lipid profile; HbA1c; submaximal treadmill exercise test including a standardized stage [3.5 mph and 2% slope] with BP and heart rate measurements). Participants were classified on BP response at the standardized stage (Normal or Excessive Response). Excessive response was defined as systolic BP ≥ 80th percentile or diastolic BP ≥ 90 mmHg. Subjects were also classified into five resting BP subgroups according to current guidelines. RESULTS: The Excessive Response group had more deteriorated cardiometabolic and cardiorespiratory profiles than the Normal Response group (P ≤ 0.01). The Excessive Response group also showed a greater proportion of carriers of the hypertriglyceridemic waist phenotype in most resting BP subgroups (P ≤ 0.05). Finally, excessive BP response to submaximal exercise showed an independent contribution on cardiometabolic and cardiorespiratory factors beyond age, sex, and resting BP. CONCLUSIONS: This study demonstrates that an excessive BP response to a submaximal exercise is associated with a deteriorated cardiometabolic risk profile beyond resting BP profile. Therefore, submaximal EBP represents a simple screening tool to better identify at-risk individuals requiring aggressive preventive lifestyle interventions.


Subject(s)
Blood Pressure , Exercise , Metabolic Syndrome/etiology , Adult , Blood Pressure Determination , Exercise Test , Female , Health Status , Humans , Male , Metabolic Syndrome/diagnosis , Metabolic Syndrome/physiopathology , Middle Aged , Predictive Value of Tests , Risk Assessment , Risk Factors , Time Factors
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