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Technostress from a Neurobiological Perspective : System Breakdown Increases the Stress Hormone Cortisol in Computer Users

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      Most cited references 43

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      A Global Measure of Perceived Stress

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        Acute stressors and cortisol responses: a theoretical integration and synthesis of laboratory research.

        This meta-analysis reviews 208 laboratory studies of acute psychological stressors and tests a theoretical model delineating conditions capable of eliciting cortisol responses. Psychological stressors increased cortisol levels; however, effects varied widely across tasks. Consistent with the theoretical model, motivated performance tasks elicited cortisol responses if they were uncontrollable or characterized by social-evaluative threat (task performance could be negatively judged by others), when methodological factors and other stressor characteristics were controlled for. Tasks containing both uncontrollable and social-evaluative elements were associated with the largest cortisol and adrenocorticotropin hormone changes and the longest times to recovery. These findings are consistent with the animal literature on the physiological effects of uncontrollable social threat and contradict the belief that cortisol is responsive to all types of stressors.
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          Stress and the brain: from adaptation to disease.

          In response to stress, the brain activates several neuropeptide-secreting systems. This eventually leads to the release of adrenal corticosteroid hormones, which subsequently feed back on the brain and bind to two types of nuclear receptor that act as transcriptional regulators. By targeting many genes, corticosteroids function in a binary fashion, and serve as a master switch in the control of neuronal and network responses that underlie behavioural adaptation. In genetically predisposed individuals, an imbalance in this binary control mechanism can introduce a bias towards stress-related brain disease after adverse experiences. New candidate susceptibility genes that serve as markers for the prediction of vulnerable phenotypes are now being identified.
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            Author and article information

            Journal
            Business & Information Systems Engineering
            Bus Inf Syst Eng
            Springer Nature
            1867-0202
            April 2012
            February 9 2012
            : 4
            : 2
            : 61-69
            10.1007/s12599-012-0207-7
            © 2012
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