Trajectories of cancer-specific stress in cancer patients: a latent growth mixture analysis.

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Title: Trajectories of cancer-specific stress in cancer patients: a latent growth mixture analysis.
Authors: Singer, Jonathan, Carpenter, Kristen M.
Source: Journal of Behavioral Medicine. Aug2023, Vol. 46 Issue 4, p689-698. 10p. 3 Charts, 1 Graph.
Subjects: Cancer patient psychology, Social support, Cancer chemotherapy, Research funding, Mental depression, Insomnia, Psychological stress, Optimism
Abstract: This study aimed to examine trajectories of cancer specific stress (CSS) over the course of a year, starting at the beginning of chemotherapy, and identify psychosocial factors that predicted trajectory class membership. Growth Mixture Modeling was used to identify distinct trajectories of CSS. Multinomial regression examined potential psychosocial predictors of trajectory membership. In the 4-class solution, all four trajectories demonstrated a decrease in CSS over the year but with differing intercepts and magnitudes of slopes. These were characterized as recovery, resilience, chronic, and severely chronic. The recovery group reported significantly higher insomnia scores than the resilient group. The chronic group reported significantly higher insomnia, higher depression, lower social support, and lower optimism than the resilient group. The chronic group reported significantly lower social support and higher depression than the recovery group. The findings provide information about psychosocial risk factors for CSS that can be screened for early intervention following diagnosis. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Behavioral Medicine is the property of Springer Nature 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: Trajectories of cancer-specific stress in cancer patients: a latent growth mixture analysis.
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  Data: <searchLink fieldCode="AR" term="%22Singer%2C+Jonathan%22">Singer, Jonathan</searchLink><br /><searchLink fieldCode="AR" term="%22Carpenter%2C+Kristen+M%2E%22">Carpenter, Kristen M.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Behavioral+Medicine%22">Journal of Behavioral Medicine</searchLink>. Aug2023, Vol. 46 Issue 4, p689-698. 10p. 3 Charts, 1 Graph.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Cancer+patient+psychology%22">Cancer patient psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Social+support%22">Social support</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+chemotherapy%22">Cancer chemotherapy</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Insomnia%22">Insomnia</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+stress%22">Psychological stress</searchLink><br /><searchLink fieldCode="DE" term="%22Optimism%22">Optimism</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study aimed to examine trajectories of cancer specific stress (CSS) over the course of a year, starting at the beginning of chemotherapy, and identify psychosocial factors that predicted trajectory class membership. Growth Mixture Modeling was used to identify distinct trajectories of CSS. Multinomial regression examined potential psychosocial predictors of trajectory membership. In the 4-class solution, all four trajectories demonstrated a decrease in CSS over the year but with differing intercepts and magnitudes of slopes. These were characterized as recovery, resilience, chronic, and severely chronic. The recovery group reported significantly higher insomnia scores than the resilient group. The chronic group reported significantly higher insomnia, higher depression, lower social support, and lower optimism than the resilient group. The chronic group reported significantly lower social support and higher depression than the recovery group. The findings provide information about psychosocial risk factors for CSS that can be screened for early intervention following diagnosis. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Behavioral Medicine is the property of Springer Nature 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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    Identifiers:
      – Type: doi
        Value: 10.1007/s10865-023-00396-9
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 689
    Subjects:
      – SubjectFull: Cancer patient psychology
        Type: general
      – SubjectFull: Social support
        Type: general
      – SubjectFull: Cancer chemotherapy
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Mental depression
        Type: general
      – SubjectFull: Insomnia
        Type: general
      – SubjectFull: Psychological stress
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      – SubjectFull: Optimism
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      – TitleFull: Trajectories of cancer-specific stress in cancer patients: a latent growth mixture analysis.
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            – D: 01
              M: 08
              Text: Aug2023
              Type: published
              Y: 2023
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              Value: 46
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