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Temporal changes in hemodynamic reactivity before, during and after a reallife stressor

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Title: Temporal changes in hemodynamic reactivity before, during and after a reallife stressor


1
Temporal changes in hemodynamic reactivity
before, during and after a real-life stressor
  • Ydwine J. Zanstra
  • Professor Derek W. Johnston

Health Psychology GroupUniversity of Aberdeen
2
Cardiovascular reactivity
  • Psychological stress may play a role in the
    etiology of cardiovascular disease
  • Link between stressor appraisals and exaggerated
    or maladaptive cardiovascular reaction patterns

3
Cardiovascular reactivityhemodynamic reaction
patterns
  • Research into the pathogenic role of stress in
    the etiology of cardiovascular disease and
    hypertension will benefit from examining
    hemodynamic reaction patterns
  • (Ottaviani et al., 2006 Sherwood Turner, 1995)

4
Cardiovascular reactivityhemodynamic reaction
patterns
  • hemodynamic reaction patterns
  • changes in the parameters underlying blood
    pressure

Blood Pressure Cardiac Output Total
Peripheral Resistance
5
Cardiovascular reactivityhemodynamic reaction
patterns
  • Hemodynamic changes in response to a stressor are
    typically examined in the laboratory
  • threat appraisals have been shown to be
    associated with increased Total Peripheral
    Resistance
  • challenge appraisals were associated with
    increases in Cardiac Output.
  • (e.g. Tomaka et al., 1993, 1997 Blascovich
    Tomaka, 1996)

6
Objective
  • to obtain ambulatory measures of changes in
    hemodynamic variables
  • Cardiac Output (CO),
  • Total Peripheral Resistance (TPR),
  • Mean Blood Pressure (MBP) and
  • Heart Rate (HR)
  • in response to a real-life stressor

7
Methods
  • Participants 12 men aged 20-27.
  • Within-subjects design
  • Ambulatory blood pressure
  • measured during before and after performance of a
    presentation
  • anticipation, stressor, recovery

8
Methods ambulatory blood pressure
  • Portapres
  • Ambulatory non-invasive
  • blood pressure measurements
  • Consists of
  • Two finger cuffs
  • Belt (pump, battery and memory card)
  • Height correction system
  • Records
  • Continuous measurement
  • Sampling rate 100 Hz

Hemodynamic variables (e.g. Cardiac Output, Total
Peripheral Resistance) can be derived from blood
pressure waveform
9

Analysis
  • Heart Rate values were derived from the blood
    pressure waveform.
  • Modelflow analysis was used to derive
    beat-to-beat values for Total Peripheral
    Resistance and Cardiac Output.
  • After artefact correction, one-minute means were
    calculated for all variables.
  • T-tests were used to compare stressor levels to
    those during the anticipation and recovery
    periods.
  • Repeated measures analysis was performed on all
    variables for the 52 minutes preceding the
    stressor, (anticipation) and the 45 minutes after
    the stressor (recovery).

10
Results
  • T-tests
  • 1. anticipation vs. stressor
  • the mean of the of the first two minutes of the
    stressor compared to the last two minutes of the
    anticipatory period
  • 2. stressor vs. recovery
  • the mean of the of the first two minutes of the
    stressor compared to the first two minutes of the
    recovery period
  • Significant effects in Mean Blood Pressure only
  • anticipation vs. stressor was significant (t(11)
    2.57, P .026)
  • stressor vs. recovery approached significance
    (t(11) -1.93, P .080)

11
Results
anticipation (last two minutes), stressor (first
two minutes), and recovery (first two minutes)
12
Results
anticipation (last two minutes), stressor (first
two minutes), and recovery (first two minutes)
13
Results anticipation and recovery
  • Repeated measures analysis of analysis of
    changes during anticipation and changes during
    recovery
  • Heart Rate and Mean Blood Pressure
  • Anticipation
  • significant, upward linear trends in Mean Blood
    Pressure (F(1,11)6.21, P.03)
  • and Heart Rate (F(1,11) 8.56, P.014)
  • Recovery
  • Mean Blood Pressure values decrease over time
    (n.s.)
  • Heart Rate decreased during recovery, linear
    trend approached significance (F(1,11) 3.43,
    P.087).

14
Results anticipation and recovery
  • Anticipation
  • significant, upward linear trends in Mean Blood
    Pressure and Heart Rate
  • Recovery
  • Mean Blood Pressure values decrease over time
    (n.s.)
  • Heart Rate decreased during recovery linear
    trend approached significance

Mean Blood Pressure and Heart Rate as a function
of time during anticipation and recovery
15
Results anticipation and recovery
  • Repeated Measures analysis of changes during
    anticipation and changes during recovery
  • Cardiac Output and Total Peripheral Resistance
  • Anticipation
  • Cardiac Output showed a quadratic trend
    approaching significance (F(1,11)3.36, P.094).
    Values increased initially and decreased just
    prior to the start of the stressor.
  • Total Peripheral Resistance showed a quadratic
    trend that approached significance
    (F(1,11)3.49, P0.088). Initial decrease was
    followed by an increase
  • Recovery no significant results

16
Results anticipation and recovery
  • Anticipation
  • Cardiac Output
  • quadratic trend approaching significance. Values
    increased initially and decreased just prior to
    the start of the stressor.
  • Total Peripheral Resistance
  • quadratic trend that approached significance
    Initial decrease was followed by an increase
  • Recovery no significant results

Cardiac Output and Total Peripheral Resistance as
a function of time during anticipation and
recovery
17
Summary of main findings
  • Both heart rate and mean blood pressure increased
    initially.
  • The anticipatory increase in mean blood pressure
    appears to be at first mediated by early rises in
    Cardiac Output.
  • However, just before the start of the stressor,
    Cardiac Output decreases.
  • Total Peripheral Resistance continues to rise
    throughout the anticipatory period and appears to
    be increasingly responsible for the continuing
    rise in mean blood pressure.
  • Changes during recovery were nonsignificant

18
Discussion
  • Changes in hemodynamic parameters over time can
    be measured in real-life
  • Linear increases in blood pressure may be
    mediated by more complicated patterns of change
    in hemodynamic parameters
  • Future analysis will focus on the relationship of
    hemodynamic reaction patterns with stressor
    appraisal

19
References
  • Blascovich, J., Tomaka, J. (1996). The
    biopsychosocial model of arousal regulation.
    Advances in experimental social psychology, 28,
    1-51
  • Ottaviani, C., Shapiro, D., Goldstein, I. B.,
    James, J. E., Weiss, R. (2006). Hemodynamic
    profile, compensation deficit, and ambulatory
    blood pressure. Psychophysiology, 43(1), 46-56.
  • Sherwood, A., Turner, J. R. (1995). Hemodynamic
    responses during psychological stress
    Implications for studying disease processes.
    International Journal of Behavioral Medicine,
    2(3), 193-218.
  • Tomaka, J., Blascovich, J., Kelsey, R. M.,
    Leitten, C. L. (1993). Subjective, physiological
    and behavioural effects of threat and challenge
    appraisal. Journal of Personality and Social
    Psychology, 65(2), 248-260
  • Tomaka, J., Blascovich, J., Kibler, J., Ernst,
    J. M. (1997). Cognitive and Physiological
    Antecedents of Threat and Challenge Appraisal.
    Journal of Personality and Social Psychology,
    73(1), 63-72.

20
Temporal changes in hemodynamic reactivity
before, during and after a real-life stressor
  • Ydwine J. Zanstra
  • Professor Derek W. Johnston

Health Psychology GroupUniversity of Aberdeen
21
Artefact correction
  • The artefact detection and correction procedure
    was carried out using CARSPAN software (Mulder,
    1988)
  • moving averages were calculated for time windows
    of 60 seconds
  • a value was identified as an artefact if it
    exceeds a confidence interval of /- 4 S.D.s
    around that moving average.
  • Artefact correction involved linear interpolation
    between two preceding and two successive values

22
Modelflow AlgorithmsFor computing hemodynamic
parameters
  • MAP COTPR
  • Given
  • MAP (Mean Arterial Pressure)
  • HR (Heart Rate)
  • Unknown
  • SV (Stroke Volume)
  • CO (Cardiac Output)
  • TPR (Total Peripheral Resistance)
  • SV Asys/Zao
  • CO (l/min) SV (l) HR (beats/min)
  • TPR (dyne-s cm-5) (MAP (mmHg) / CO (l/min)) x
    80
  • area under the systolic portion of the pressure
    wave
  • characteristic impedance of the aorta
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