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Risk Factors and Psychosocial Correlates of Emotionally Negative Dreams in Patients Referred to a Cardiac Rehabilitation Centre

INTRODUCTION: Dream, as a kind of mental activity, includes various functions such as mood regulation, adjustment and integration of new information with the available memory system. The study was done for assessing the relationship between physiological and psychological components of cardiac disea...

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Autores principales: Saeidi, Mozhgan, Soroush, Ali, Golafroozi, Parvin, Zakiei, Ali, Faridmarandi, Behrooz, Komasi, Saeid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Penerbit Universiti Sains Malaysia 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053550/
https://www.ncbi.nlm.nih.gov/pubmed/32158349
http://dx.doi.org/10.21315/mjms2020.27.1.10
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author Saeidi, Mozhgan
Soroush, Ali
Golafroozi, Parvin
Zakiei, Ali
Faridmarandi, Behrooz
Komasi, Saeid
author_facet Saeidi, Mozhgan
Soroush, Ali
Golafroozi, Parvin
Zakiei, Ali
Faridmarandi, Behrooz
Komasi, Saeid
author_sort Saeidi, Mozhgan
collection PubMed
description INTRODUCTION: Dream, as a kind of mental activity, includes various functions such as mood regulation, adjustment and integration of new information with the available memory system. The study was done for assessing the relationship between physiological and psychological components of cardiac diseases with emotionally negative dreams in cardiac rehabilitation. METHODS: At the baseline of this cross-sectional study, 156 patients from Western Iran participated during April–November 2016. People 20 years–80 years able to recall the emotional content of dreams after cardiac surgery entered the study. The Beck depression inventory (BDI), Beck anxiety inventory (BAI), Buss and Perry’s aggression questionnaire (BPAQ) and Schredl’s dream emotions manual were used for collecting data. A binary logistic regression analysis used for the study of the relationship between risk factors and emotionally negative dreams. RESULTS: The mean age of participants was 59 (SD = 9) years (men: 64.1%). The results showed that 25% of patients have negative emotional content. After adjustment for demographic variables, the results showed that increased anxiety [adjusted odds ratio (adj OR) = 1.08 [1.01–1.16], P = 0.020] and anger (adj OR = 1.03 [1.00–1.06], P = 0.024) and hypertension (adj OR = 2.71 [1.10–6.68], P = 0.030) can predict the dreams with negative content significantly. CONCLUSION: The increasing rates of anxiety and anger and history of hypertension are related to increasing dreams with the negative emotional load. The control of risk factors of dreams with negative emotional load can be the target of future interventions.
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spelling pubmed-70535502020-03-10 Risk Factors and Psychosocial Correlates of Emotionally Negative Dreams in Patients Referred to a Cardiac Rehabilitation Centre Saeidi, Mozhgan Soroush, Ali Golafroozi, Parvin Zakiei, Ali Faridmarandi, Behrooz Komasi, Saeid Malays J Med Sci Original Article INTRODUCTION: Dream, as a kind of mental activity, includes various functions such as mood regulation, adjustment and integration of new information with the available memory system. The study was done for assessing the relationship between physiological and psychological components of cardiac diseases with emotionally negative dreams in cardiac rehabilitation. METHODS: At the baseline of this cross-sectional study, 156 patients from Western Iran participated during April–November 2016. People 20 years–80 years able to recall the emotional content of dreams after cardiac surgery entered the study. The Beck depression inventory (BDI), Beck anxiety inventory (BAI), Buss and Perry’s aggression questionnaire (BPAQ) and Schredl’s dream emotions manual were used for collecting data. A binary logistic regression analysis used for the study of the relationship between risk factors and emotionally negative dreams. RESULTS: The mean age of participants was 59 (SD = 9) years (men: 64.1%). The results showed that 25% of patients have negative emotional content. After adjustment for demographic variables, the results showed that increased anxiety [adjusted odds ratio (adj OR) = 1.08 [1.01–1.16], P = 0.020] and anger (adj OR = 1.03 [1.00–1.06], P = 0.024) and hypertension (adj OR = 2.71 [1.10–6.68], P = 0.030) can predict the dreams with negative content significantly. CONCLUSION: The increasing rates of anxiety and anger and history of hypertension are related to increasing dreams with the negative emotional load. The control of risk factors of dreams with negative emotional load can be the target of future interventions. Penerbit Universiti Sains Malaysia 2020-02 2020-02-27 /pmc/articles/PMC7053550/ /pubmed/32158349 http://dx.doi.org/10.21315/mjms2020.27.1.10 Text en © Penerbit Universiti Sains Malaysia, 2020 This work is licensed under the terms of the Creative Commons Attribution (CC BY) (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Article
Saeidi, Mozhgan
Soroush, Ali
Golafroozi, Parvin
Zakiei, Ali
Faridmarandi, Behrooz
Komasi, Saeid
Risk Factors and Psychosocial Correlates of Emotionally Negative Dreams in Patients Referred to a Cardiac Rehabilitation Centre
title Risk Factors and Psychosocial Correlates of Emotionally Negative Dreams in Patients Referred to a Cardiac Rehabilitation Centre
title_full Risk Factors and Psychosocial Correlates of Emotionally Negative Dreams in Patients Referred to a Cardiac Rehabilitation Centre
title_fullStr Risk Factors and Psychosocial Correlates of Emotionally Negative Dreams in Patients Referred to a Cardiac Rehabilitation Centre
title_full_unstemmed Risk Factors and Psychosocial Correlates of Emotionally Negative Dreams in Patients Referred to a Cardiac Rehabilitation Centre
title_short Risk Factors and Psychosocial Correlates of Emotionally Negative Dreams in Patients Referred to a Cardiac Rehabilitation Centre
title_sort risk factors and psychosocial correlates of emotionally negative dreams in patients referred to a cardiac rehabilitation centre
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053550/
https://www.ncbi.nlm.nih.gov/pubmed/32158349
http://dx.doi.org/10.21315/mjms2020.27.1.10
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