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From acute to chronic low back pain: the role of negative emotions.

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Title: From acute to chronic low back pain: the role of negative emotions.
Authors: Montaño, Juan José (AUTHOR), Gervilla, Elena (AUTHOR), Jiménez, Rafael (AUTHOR), Sesé, Albert (AUTHOR)
Source: Psychology, Health & Medicine. Sep2026, Vol. 31 Issue 8, p2108-2121. 14p.
Subjects: Chronic pain, Psychological distress, Prediction models, Anger, Artificial intelligence, Affective disorders, Anxiety, Longitudinal method, Lumbar pain, Disease progression, Mental depression, Disease risk factors
Abstract: Low back pain (LBP) constitutes a persistent and burdensome condition, frequently intricately intertwined with negative emotional states. The focus of this study is to discern distinct patterns of negative emotions among individuals experiencing Acute Low Back Pain (ALBP) and Chronic Low Back Pain (CLBP), in comparison to a pain-free control group. The study endeavors to harness the potential of artificial intelligence (AI) models in evaluating the discriminatory capacity of these emotions within the groups, thus addressing the issue of pain chronicity. The participant cohort consisted of 54 chronic patients, 44 acute, and 51 pain-free individuals for comparison purposes. Using Artificial Neural Networks (ANN), the study unveiled discernible patterns of emotional association. Significant disparities in emotional experiences emerged between acute and chronic patients. Anxiety assumed an essential role following the onset of LBP, whereas in the chronic group, depression took precedence, accompanied by an escalation in both anger and anxiety-related comorbidity. It's crucial to emphasize the absence of discernible variations in pain intensity between chronic and acute patients. These findings hold considerable implications, as they contribute to the refinement of LBP diagnosis and proactively hinder its progression. By unraveling the intricate interplay between negative emotions and the temporal course of LBP, this study deepens our comprehension and lays the groundwork for interventions addressing both the physical and emotional dimensions. These insights provide valuable input for effective diagnostic and therapeutic strategies, thereby alleviating the burden of chronic LBP on individuals and healthcare systems. [ABSTRACT FROM AUTHOR]
Copyright of Psychology, Health & Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: From acute to chronic low back pain: the role of negative emotions.
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  Data: <searchLink fieldCode="AR" term="%22Montaño%2C+Juan+José%22">Montaño, Juan José</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gervilla%2C+Elena%22">Gervilla, Elena</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiménez%2C+Rafael%22">Jiménez, Rafael</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sesé%2C+Albert%22">Sesé, Albert</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Psychology%2C+Health+%26+Medicine%22">Psychology, Health & Medicine</searchLink>. Sep2026, Vol. 31 Issue 8, p2108-2121. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Chronic+pain%22">Chronic pain</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+distress%22">Psychological distress</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Anger%22">Anger</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Affective+disorders%22">Affective disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety%22">Anxiety</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Lumbar+pain%22">Lumbar pain</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+progression%22">Disease progression</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+risk+factors%22">Disease risk factors</searchLink>
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  Data: Low back pain (LBP) constitutes a persistent and burdensome condition, frequently intricately intertwined with negative emotional states. The focus of this study is to discern distinct patterns of negative emotions among individuals experiencing Acute Low Back Pain (ALBP) and Chronic Low Back Pain (CLBP), in comparison to a pain-free control group. The study endeavors to harness the potential of artificial intelligence (AI) models in evaluating the discriminatory capacity of these emotions within the groups, thus addressing the issue of pain chronicity. The participant cohort consisted of 54 chronic patients, 44 acute, and 51 pain-free individuals for comparison purposes. Using Artificial Neural Networks (ANN), the study unveiled discernible patterns of emotional association. Significant disparities in emotional experiences emerged between acute and chronic patients. Anxiety assumed an essential role following the onset of LBP, whereas in the chronic group, depression took precedence, accompanied by an escalation in both anger and anxiety-related comorbidity. It's crucial to emphasize the absence of discernible variations in pain intensity between chronic and acute patients. These findings hold considerable implications, as they contribute to the refinement of LBP diagnosis and proactively hinder its progression. By unraveling the intricate interplay between negative emotions and the temporal course of LBP, this study deepens our comprehension and lays the groundwork for interventions addressing both the physical and emotional dimensions. These insights provide valuable input for effective diagnostic and therapeutic strategies, thereby alleviating the burden of chronic LBP on individuals and healthcare systems. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Psychology, Health & Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/13548506.2025.2478657
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      – Code: eng
        Text: English
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      – SubjectFull: Chronic pain
        Type: general
      – SubjectFull: Psychological distress
        Type: general
      – SubjectFull: Prediction models
        Type: general
      – SubjectFull: Anger
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      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Affective disorders
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      – SubjectFull: Anxiety
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Lumbar pain
        Type: general
      – SubjectFull: Disease progression
        Type: general
      – SubjectFull: Mental depression
        Type: general
      – SubjectFull: Disease risk factors
        Type: general
    Titles:
      – TitleFull: From acute to chronic low back pain: the role of negative emotions.
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            NameFull: Montaño, Juan José
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            NameFull: Gervilla, Elena
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              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
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