The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Cardiovascular Differentiation of Happiness, Sadness, Anger, and Fear Following Imagery and Exercise1
Abstract
This study examined cardiovascular patterns following happiness, sadness, anger, fear, relaxation, and control imagery in 32 subjects while they were seated and while they exercised. Affective imagery was an effective strategy for inducing reliable patterns of systolic and diastolic blood pressure and heart rate associated with particular emotional states. Anger, rather than fear, produced the greatest overall increases in cardiovascular measures and was distinctly opposite from relaxation. Anger differed from fear and all other conditions in terms of greater increases in diastolic pressure following imagery and greater increases in heart rate and slower recovery of systolic pressure following exercise. Sadness was unique in that systolic pressure and heart rate were virtually as high when subjects were still as when they were actually moving. Furthermore, sadness was the one emotional state that seemed to interfere with the cardiovascular adjustments normally associated with exercise. Implications of these findings for current biobehavioral models of emotion, including the role that specific emotions may play in the pathogenesis and treatment of cardiovascular disease, are considered.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Feeling and thinking: Preferences need no inferences.
Zajonc, R. B. (1980) · American Psychologist · doi:10.1037/0003-066x.35.2.151 · Cited by 8,094
A Bio‐Informational Theory of Emotional Imagery
Lang, P. J. (1979) · Psychophysiology · doi:10.1111/j.1469-8986.1979.tb01511.x · Cited by 1,750 · cited 7×
“To maximize perceptual-motor coupling (6) and comparability of the imagery and exercise conditions, subjects in the seated imagery conditions imagined expressing the designated emotional state while exercising on the step; they then proceeded to actually exercise while continuing to generate the desired emotion.”
BackgroundMethodInfluentialA psychophysiological analysis of fear modification using an automated desensitization procedure
Lang, P. J., Melamed, B. G., & Hart, J. (1970) · Journal of Abnormal Psychology · doi:10.1037/h0029875 · Cited by 463
Running as treatment for depression
Greist, J. H., Klein, M. H., Eischens, R. R., Faris, J., Gurman, A. S., & Morgan, W. P. (1979) · Comprehensive Psychiatry · doi:10.1016/0010-440x(79)90058-0 · Cited by 378
Cited by
An argument for basic emotions
Ekman, P. (1992) · Cognition and Emotion · doi:10.1080/02699939208411068 · Cited by 9,646
Autonomic nervous system activity in emotion: a review
Kreibig, S. D. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2010.03.010 · Cited by 3,188
Does positive affect influence health?
Pressman, S. D., & Cohen, S. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.6.925 · Cited by 2,087
Emotional responses to music: The need to consider underlying mechanisms
Juslin, P. N., & Västfjäll, D. (2008) · Behavioral and Brain Sciences · doi:10.1017/s0140525x08005293 · Cited by 1,914
Toward a self‐evaluation maintenance model of social behavior
Tesser, A. (1988) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60227-0 · Cited by 1,878
Metadata
- Authors
- Schwartz, G. E., Weinberger, D. A., & Singer, J. A.
- Venue
- Psychosomatic Medicine
- Published
- 1981-08
- Volume
- 43
- Issue
- 4
- Pages
- 343-364
- ISSN
- 0033-3174 (ISSN-L)
- OpenAlex
- W1982108488
- Cited by
- 485
- References
- 4
- FWCI
- 7.24
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.