Galvanic skin potential as a predictor of mental status, anxiety, depression and denial in acute coronary patients

Froese, Arthur P.; Cassem, Ned H.; Hackett, Thomas P.; Silverberg, Elizabeth

doi:10.1016/0022-3999(75)90044-6

Cited by 21 publications

(5 citation statements)

References 17 publications

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“…Yet, they are considered to have significant merit in assessing denial because of their relative immunity to faking, social desirability, and conscious manipulation threats. Examples of physiological indices that were employed as indicators of denial include galvanic skin response (GSR), systolic blood pressure reactivity, and heart rate (Froese et al, 1975;Froese et al, 1974;Kneier & Temoshok, 1984;Warrenburg et al, 1989). GSR is regarded as a reliable indicator of anxiety (and psychological distress in general) and, when used in conjunction with polygraphgenerated data, could also seemingly indicate efforts at denial when discrepancies are found between subjective verbal reports of calmness and lack of concern or worry, and more objective physiological signs that suggest heightened distress.…”

Section: Psycho-physiological Measuresmentioning

confidence: 99%

Denial of Chronic Illness and Disability: Part II. Research Findings, Measurement Considerations, and Clinical Aspects

Livneh

2009

Rehabilitation Counseling Bulletin

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The concept of denial has been an integral part of the psychological and disability studies bodies of literature for over 100 years.Yet, denial is a highly elusive concept and has been associated with mixed, indeed conflicting theoretical perspectives, clinical strategies, and empirical findings. In part II the author reviews empirical findings, measurement strategies, and clinical approaches associated with denial, with particular emphasis on rehabilitation-specific findings and implications. It focuses on empirical findings linking the use of denial to a number of psychosocial outcomes, measures that have been employed in the assessment of denial and, intervention strategies to manage denial. Part II concludes with a brief discussion of the implications generated by the current understanding of denial to rehabilitation practitioners and researchers.

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Section: Psycho-physiological Measuresmentioning

confidence: 99%

Denial of Chronic Illness and Disability: Part II. Research Findings, Measurement Considerations, and Clinical Aspects

Livneh

2009

Rehabilitation Counseling Bulletin

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“…The relationships among denial, anxiety, mental status, and galvanic skin response (GSP) in 25 coronary care unit patients was further studied by Froese, Cassem, Hackett, and Silverberg (1975). Scores on denial were found to be negatively related to ratings of anxiety, but positively related to scores on the Mental Status Exam.…”

Section: Hackett and Cassem: Denialmentioning

confidence: 99%

The Development of Defense Mechanisms

Cramer

1991

190

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“…In addition to explicit scales, researchers and practitioners encourage the use of passive techniques to address the imbalance between the demand and supply of mental health resources. For example, many studies have used individual physiological [9,10] and behavioral [11][12][13] indicators as predictors to help identify individuals with mental health problems.…”

Section: Introductionmentioning

confidence: 99%

Sensing Psychological Well-being Using Social Media Language: Prediction Model Development Study

Han

Li²,

Huang

et al. 2023

J Med Internet Res

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Background Positive mental health is arguably increasingly important and can be revealed, to some extent, in terms of psychological well-being (PWB). However, PWB is difficult to assess in real time on a large scale. The popularity and proliferation of social media make it possible to sense and monitor online users’ PWB in a nonintrusive way, and the objective of this study is to test the effectiveness of using social media language expression as a predictor of PWB. Objective This study aims to investigate the predictive power of social media corresponding to ground truth well-being data in a psychological way. Methods We recruited 1427 participants. Their well-being was evaluated using 6 dimensions of PWB. Their posts on social media were collected, and 6 psychological lexicons were used to extract linguistic features. A multiobjective prediction model was then built with the extracted linguistic features as input and PWB as the output. Further, the validity of the prediction model was confirmed by evaluating the model's discriminant validity, convergent validity, and criterion validity. The reliability of the model was also confirmed by evaluating the split-half reliability. Results The correlation coefficients between the predicted PWB scores of social media users and the actual scores obtained using the linguistic prediction model of this study were between 0.49 and 0.54 (P<.001), which means that the model had good criterion validity. In terms of the model’s structural validity, it exhibited excellent convergent validity but less than satisfactory discriminant validity. The results also suggested that our model had good split-half reliability levels for every dimension (ranging from 0.65 to 0.85; P<.001). Conclusions By confirming the availability and stability of the linguistic prediction model, this study verified the predictability of social media corresponding to ground truth well-being data from the perspective of PWB. Our study has positive implications for the use of social media to predict mental health in nonprofessional settings such as self-testing or a large-scale user study.

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Galvanic skin potential as a predictor of mental status, anxiety, depression and denial in acute coronary patients

Cited by 21 publications

References 17 publications

Denial of Chronic Illness and Disability: Part II. Research Findings, Measurement Considerations, and Clinical Aspects

Denial of Chronic Illness and Disability: Part II. Research Findings, Measurement Considerations, and Clinical Aspects

The Development of Defense Mechanisms

Sensing Psychological Well-being Using Social Media Language: Prediction Model Development Study

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