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Identification of resilient individuals and those at risk for performance deficits under stress.

Winslow BD, Carroll MB, Martin JW, Surpris G, Chadderdon GL - Front Neurosci (2015)

Bottom Line: Here we measure the effects of stress on physiological response and performance through behavior, physiological sensors, and subjective ratings, and identify which individuals are at risk for stress-related performance decrements.Stress response was effectively captured via electrodermal and cardiovascular measures of heart rate and skin conductance level.Outliers were identified in the experimental group that had a significant mismatch between self-reported stress and salivary cortisol.

View Article: PubMed Central - PubMed

Affiliation: Design Interactive, Inc. Orlando, FL, USA.

ABSTRACT
Human task performance is affected by exposure to physiological and psychological stress. The ability to measure the physiological response to stressors and correlate that to task performance could be used to identify resilient individuals or those at risk for stress-related performance decrements. Accomplishing this prior to performance under severe stress or the development of clinical stress disorders could facilitate focused preparation such as tailoring training to individual needs. Here we measure the effects of stress on physiological response and performance through behavior, physiological sensors, and subjective ratings, and identify which individuals are at risk for stress-related performance decrements. Participants performed military-relevant training tasks under stress in a virtual environment, with autonomic and hypothalamic-pituitary-adrenal axis (HPA) reactivity analyzed. Self-reported stress, as well as physiological indices of stress, increased in the group pre-exposed to socioevaluative stress. Stress response was effectively captured via electrodermal and cardiovascular measures of heart rate and skin conductance level. A resilience classification algorithm was developed based upon physiological reactivity, which correlated with baseline unstressed physiological and self-reported stress values. Outliers were identified in the experimental group that had a significant mismatch between self-reported stress and salivary cortisol. Baseline stress measurements were predictive of individual resilience to stress, including the impact stress had on physiological reactivity and performance. Such an approach may have utility in identifying individuals at risk for problems performing under severe stress. Continuing work has focused on adapting this method for military personnel, and assessing the utility of various coping and decision-making strategies on performance and physiological stress.

No MeSH data available.


Related in: MedlinePlus

Group differences in mean SCL and EDR rate. The experimental group exhibited higher electrodermal activity throughout the experiment. Average baseline scores shown by dotted line. *p ≤ 0.05; **p ≤ 0.001.
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Figure 3: Group differences in mean SCL and EDR rate. The experimental group exhibited higher electrodermal activity throughout the experiment. Average baseline scores shown by dotted line. *p ≤ 0.05; **p ≤ 0.001.

Mentions: Electrodermal activity is shown in Figure 3. Between groups, a statistically significant increase was observed in the experimental group during the TSST, and scenarios 3 and 4 (p ≤ 0.05). Mean skin conductance level (SCL) exhibited high variability throughout the study, with a trend toward increasing values in the experimental group. Within groups, repeated measures ANOVA analysis did not detect any differences in the control group, but did identify an increase in the TSST compared to scenario 1 in the experimental group (p ≤ 0.001), and between the TSST and the baseline as well as scenarios 2, 3, and 5 (p ≤ 0.05).


Identification of resilient individuals and those at risk for performance deficits under stress.

Winslow BD, Carroll MB, Martin JW, Surpris G, Chadderdon GL - Front Neurosci (2015)

Group differences in mean SCL and EDR rate. The experimental group exhibited higher electrodermal activity throughout the experiment. Average baseline scores shown by dotted line. *p ≤ 0.05; **p ≤ 0.001.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4584989&req=5

Figure 3: Group differences in mean SCL and EDR rate. The experimental group exhibited higher electrodermal activity throughout the experiment. Average baseline scores shown by dotted line. *p ≤ 0.05; **p ≤ 0.001.
Mentions: Electrodermal activity is shown in Figure 3. Between groups, a statistically significant increase was observed in the experimental group during the TSST, and scenarios 3 and 4 (p ≤ 0.05). Mean skin conductance level (SCL) exhibited high variability throughout the study, with a trend toward increasing values in the experimental group. Within groups, repeated measures ANOVA analysis did not detect any differences in the control group, but did identify an increase in the TSST compared to scenario 1 in the experimental group (p ≤ 0.001), and between the TSST and the baseline as well as scenarios 2, 3, and 5 (p ≤ 0.05).

Bottom Line: Here we measure the effects of stress on physiological response and performance through behavior, physiological sensors, and subjective ratings, and identify which individuals are at risk for stress-related performance decrements.Stress response was effectively captured via electrodermal and cardiovascular measures of heart rate and skin conductance level.Outliers were identified in the experimental group that had a significant mismatch between self-reported stress and salivary cortisol.

View Article: PubMed Central - PubMed

Affiliation: Design Interactive, Inc. Orlando, FL, USA.

ABSTRACT
Human task performance is affected by exposure to physiological and psychological stress. The ability to measure the physiological response to stressors and correlate that to task performance could be used to identify resilient individuals or those at risk for stress-related performance decrements. Accomplishing this prior to performance under severe stress or the development of clinical stress disorders could facilitate focused preparation such as tailoring training to individual needs. Here we measure the effects of stress on physiological response and performance through behavior, physiological sensors, and subjective ratings, and identify which individuals are at risk for stress-related performance decrements. Participants performed military-relevant training tasks under stress in a virtual environment, with autonomic and hypothalamic-pituitary-adrenal axis (HPA) reactivity analyzed. Self-reported stress, as well as physiological indices of stress, increased in the group pre-exposed to socioevaluative stress. Stress response was effectively captured via electrodermal and cardiovascular measures of heart rate and skin conductance level. A resilience classification algorithm was developed based upon physiological reactivity, which correlated with baseline unstressed physiological and self-reported stress values. Outliers were identified in the experimental group that had a significant mismatch between self-reported stress and salivary cortisol. Baseline stress measurements were predictive of individual resilience to stress, including the impact stress had on physiological reactivity and performance. Such an approach may have utility in identifying individuals at risk for problems performing under severe stress. Continuing work has focused on adapting this method for military personnel, and assessing the utility of various coping and decision-making strategies on performance and physiological stress.

No MeSH data available.


Related in: MedlinePlus