Can illness perceptions predict lower heart rate variability following acute myocardial infarction?
Objective: Decreased heart rate variability (HRV) has been reported to be a predictor of mortality after myocardial infarction (MI). Patients’ beliefs and perceptions concerning their illness may play a role in decreased HRV. This study investigated if illness perceptions predict HRV at three months...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2016-11-01
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| Series: | Frontiers in Psychology |
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| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.01801/full |
| _version_ | 1811322209787969536 |
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| author | Mary Princip Marco Scholz Rebecca Meister Jürgen Barth Ulrich Schnyder Hansjörg Znoj Jean-Paul Schmid Julian Thayer Roland Von Känel Roland Von Känel Roland Von Känel |
| author_facet | Mary Princip Marco Scholz Rebecca Meister Jürgen Barth Ulrich Schnyder Hansjörg Znoj Jean-Paul Schmid Julian Thayer Roland Von Känel Roland Von Känel Roland Von Känel |
| author_sort | Mary Princip |
| collection | DOAJ |
| description | Objective: Decreased heart rate variability (HRV) has been reported to be a predictor of mortality after myocardial infarction (MI). Patients’ beliefs and perceptions concerning their illness may play a role in decreased HRV. This study investigated if illness perceptions predict HRV at three months following acute MI. Methods: 130 patients referred to a tertiary cardiology centre, were examined within 48 hours and three months following acute MI. At admission, patients’ cognitive representations of their MI were assessed using the German version of the self-rated Brief Illness Perception Questionnaire (Brief IPQ). At admission and after three months (follow-up), frequency and time domain measures of HRV were obtained from 5-min electrocardiogram (ECG) recordings during stable supine resting. Results: Linear hierarchical regression showed that the Brief IPQ dimensions timeline (β coefficient = -0.29; p = .044), personal control (β = 0.47; p = .008) and illness understanding (β = 0.43; p = .014) were significant predictors of HRV, adjusted for age, gender, baseline HRV, diabetes, beta-blockers, left ventricular ejection fraction (LVEF), attendance of cardiac rehabilitation, and depressive symptoms. Conclusions: As patients’ negative perceptions of their illness are associated with lower HRV following acute MI, a brief illness perception questionnaire may help to identify patients who might benefit from a specific illness perceptions intervention. |
| first_indexed | 2024-04-13T13:31:13Z |
| format | Article |
| id | doaj.art-288f8cc6541446738bd2e9a8877e8185 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-04-13T13:31:13Z |
| publishDate | 2016-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-288f8cc6541446738bd2e9a8877e81852022-12-22T02:44:58ZengFrontiers Media S.A.Frontiers in Psychology1664-10782016-11-01710.3389/fpsyg.2016.01801189638Can illness perceptions predict lower heart rate variability following acute myocardial infarction?Mary Princip0Marco Scholz1Rebecca Meister2Jürgen Barth3Ulrich Schnyder4Hansjörg Znoj5Jean-Paul Schmid6Julian Thayer7Roland Von Känel8Roland Von Känel9Roland Von Känel10InselspitalInselspitalInselspitalInstitute for Complementary and Integrative MedicineDepartment of Psychiatry and PsychotherapyUniversity of BerneCardiology ClinicThe Ohio Eminent Scholar Professor in Health PsychologyInselspitalUniversity of BerneClinic BarmelweidObjective: Decreased heart rate variability (HRV) has been reported to be a predictor of mortality after myocardial infarction (MI). Patients’ beliefs and perceptions concerning their illness may play a role in decreased HRV. This study investigated if illness perceptions predict HRV at three months following acute MI. Methods: 130 patients referred to a tertiary cardiology centre, were examined within 48 hours and three months following acute MI. At admission, patients’ cognitive representations of their MI were assessed using the German version of the self-rated Brief Illness Perception Questionnaire (Brief IPQ). At admission and after three months (follow-up), frequency and time domain measures of HRV were obtained from 5-min electrocardiogram (ECG) recordings during stable supine resting. Results: Linear hierarchical regression showed that the Brief IPQ dimensions timeline (β coefficient = -0.29; p = .044), personal control (β = 0.47; p = .008) and illness understanding (β = 0.43; p = .014) were significant predictors of HRV, adjusted for age, gender, baseline HRV, diabetes, beta-blockers, left ventricular ejection fraction (LVEF), attendance of cardiac rehabilitation, and depressive symptoms. Conclusions: As patients’ negative perceptions of their illness are associated with lower HRV following acute MI, a brief illness perception questionnaire may help to identify patients who might benefit from a specific illness perceptions intervention.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.01801/fullMyocardial InfarctionHeart rate variabilitycopingillness perceptionsCoronary event |
| spellingShingle | Mary Princip Marco Scholz Rebecca Meister Jürgen Barth Ulrich Schnyder Hansjörg Znoj Jean-Paul Schmid Julian Thayer Roland Von Känel Roland Von Känel Roland Von Känel Can illness perceptions predict lower heart rate variability following acute myocardial infarction? Frontiers in Psychology Myocardial Infarction Heart rate variability coping illness perceptions Coronary event |
| title | Can illness perceptions predict lower heart rate variability following acute myocardial infarction? |
| title_full | Can illness perceptions predict lower heart rate variability following acute myocardial infarction? |
| title_fullStr | Can illness perceptions predict lower heart rate variability following acute myocardial infarction? |
| title_full_unstemmed | Can illness perceptions predict lower heart rate variability following acute myocardial infarction? |
| title_short | Can illness perceptions predict lower heart rate variability following acute myocardial infarction? |
| title_sort | can illness perceptions predict lower heart rate variability following acute myocardial infarction |
| topic | Myocardial Infarction Heart rate variability coping illness perceptions Coronary event |
| url | http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.01801/full |
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