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The effect of psychological factors in pain intensity of patients with chronic pain conditions

INTRODUCTION: Chronic pain can lead to depression, weariness, sleep problems, decreased physical and cognitive function, personality changes/shifts, and social interactions, all of which can lead to social marginalization and financial loss. OBJECTIVES: The aim of the present study was to investigat...

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Autores principales: Lyrakos, G. N., Ogah, H. U. A., Aslani, E., Spinaris, V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10434082/
http://dx.doi.org/10.1192/j.eurpsy.2023.673
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author Lyrakos, G. N.
Ogah, H. U. A.
Aslani, E.
Spinaris, V.
author_facet Lyrakos, G. N.
Ogah, H. U. A.
Aslani, E.
Spinaris, V.
author_sort Lyrakos, G. N.
collection PubMed
description INTRODUCTION: Chronic pain can lead to depression, weariness, sleep problems, decreased physical and cognitive function, personality changes/shifts, and social interactions, all of which can lead to social marginalization and financial loss. OBJECTIVES: The aim of the present study was to investigate how psychological variables affects pain intensity. METHODS: 193 patients diagnosed with chronic pain conditions, men 67 (34.8%) and women 126 (65.2%), participated in the study. This study used a quantitative between-subjects design to investigate the effect of psychological factors on pain intensity using the VAS scale. Analysis was performed with the use of SPSS23. RESULTS: The analysis produces a coefficient of determination R2 = 0.448 – suggesting that a total 44.8% variability in pain intensity in the previous month can be explained by Age, Fear-avoidance belief about physical activity, Commitment to activity, fear avoidance beliefs about work and Pain catastrophizing magnification. A repeated measure analysis of variance shows that the regression model is statistically significant F (1, 187) = 30.381, p = 0.000. The predictors variables (Age, fear-avoidance belief about physical activity, commitment in activity, fear avoidance beliefs about work and pain catastrophizing magnification) are found to statistically significant t (187) = 9.627, p = 0.001, t (187) = 4.616, p = 0.001, t (187) = 2.982, p = 0.003, t (187) = -2.599, p = 0.010, t (187) = 2.253, p = 0.025 respectively. CONCLUSIONS: The findings of this study are in agreement with previous literature and also provide insight into the major psychological factors correlates with pain intensity DISCLOSURE OF INTEREST: None Declared
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spelling pubmed-104340822023-08-18 The effect of psychological factors in pain intensity of patients with chronic pain conditions Lyrakos, G. N. Ogah, H. U. A. Aslani, E. Spinaris, V. Eur Psychiatry Abstract INTRODUCTION: Chronic pain can lead to depression, weariness, sleep problems, decreased physical and cognitive function, personality changes/shifts, and social interactions, all of which can lead to social marginalization and financial loss. OBJECTIVES: The aim of the present study was to investigate how psychological variables affects pain intensity. METHODS: 193 patients diagnosed with chronic pain conditions, men 67 (34.8%) and women 126 (65.2%), participated in the study. This study used a quantitative between-subjects design to investigate the effect of psychological factors on pain intensity using the VAS scale. Analysis was performed with the use of SPSS23. RESULTS: The analysis produces a coefficient of determination R2 = 0.448 – suggesting that a total 44.8% variability in pain intensity in the previous month can be explained by Age, Fear-avoidance belief about physical activity, Commitment to activity, fear avoidance beliefs about work and Pain catastrophizing magnification. A repeated measure analysis of variance shows that the regression model is statistically significant F (1, 187) = 30.381, p = 0.000. The predictors variables (Age, fear-avoidance belief about physical activity, commitment in activity, fear avoidance beliefs about work and pain catastrophizing magnification) are found to statistically significant t (187) = 9.627, p = 0.001, t (187) = 4.616, p = 0.001, t (187) = 2.982, p = 0.003, t (187) = -2.599, p = 0.010, t (187) = 2.253, p = 0.025 respectively. CONCLUSIONS: The findings of this study are in agreement with previous literature and also provide insight into the major psychological factors correlates with pain intensity DISCLOSURE OF INTEREST: None Declared Cambridge University Press 2023-07-19 /pmc/articles/PMC10434082/ http://dx.doi.org/10.1192/j.eurpsy.2023.673 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Lyrakos, G. N.
Ogah, H. U. A.
Aslani, E.
Spinaris, V.
The effect of psychological factors in pain intensity of patients with chronic pain conditions
title The effect of psychological factors in pain intensity of patients with chronic pain conditions
title_full The effect of psychological factors in pain intensity of patients with chronic pain conditions
title_fullStr The effect of psychological factors in pain intensity of patients with chronic pain conditions
title_full_unstemmed The effect of psychological factors in pain intensity of patients with chronic pain conditions
title_short The effect of psychological factors in pain intensity of patients with chronic pain conditions
title_sort effect of psychological factors in pain intensity of patients with chronic pain conditions
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10434082/
http://dx.doi.org/10.1192/j.eurpsy.2023.673
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