Daily Impact of Medical Cannabis on Anxiety and Sleep Quality in Older Adults.

Saved in:
Bibliographic Details
Title: Daily Impact of Medical Cannabis on Anxiety and Sleep Quality in Older Adults.
Authors: Maynard, Madison (AUTHOR), Dvorak, Robert D. (AUTHOR), Paulson, Daniel (AUTHOR), Burr, Emily K. (AUTHOR), Allen, Quinn (AUTHOR), Lighthall, Nichole R. (AUTHOR), Lysandrou, Apollonia E. (AUTHOR)
Source: Psychiatry: Interpersonal & Biological Processes. Winer2025, Vol. 88 Issue 4, p380-394. 15p.
Subjects: Prevention of mental depression, Anxiety prevention, Medical marijuana, Research funding, Structural equation modeling, Descriptive statistics, Chi-squared test, Pain, Drug efficacy, Sleep quality, Data analysis software, Sleep disorders, Therapeutics
Abstract: Objective: Older adults represent the fastest growing demographic of cannabis users, and they endorse cannabis use for a variety of reasons including modulation of chronic pain, mental health symptoms, and sleep concerns. However, current evidence leaves questions of efficacy unanswered among these groups. Goals of the present study were to examine the hypothesis that medical cannabis (MC) use will, at the daily level, predict lower pain, depression, anxiety, and improved sleep. Method: A final sample of 106 MC users were recruited nationwide (ages 55–74, 66.67% female, 82.86% white). A fully within-subject multilevel structural equation model was conducted with use patterns and symptomology broken into four temporal epochs. MC use, operationalized as subjective intoxication (Epoch 1), averaged across the day was used to predict subsequent pain, anxiety, and depression levels (Epoch 2), which were then used to predict sleep that night (Epoch 3), then subsequent pain, anxiety, and depression the following day (Epoch 4) prior to initiation of MC use.Results: Subjective intoxication predicted lower post-use pain, anxiety, and depression. Subjective intoxication is related to lower anxiety and better sleep the following night. Conclusions: These findings provide evidence of momentary improvements in pain, anxiety, depression, and indirect benefits for sleep quality. In combination with other findings, the results advance our understanding of the efficacy and limitations of MC among older adults. Findings are limited by MC measurement and sample homogeneity (primarily White, non-Hispanic female). Future research should seek to further measurement of use and corresponding effects and examine expectancy effects in aging clinical populations. [ABSTRACT FROM AUTHOR]
Copyright of Psychiatry: Interpersonal & Biological Processes 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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 189877308
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Daily Impact of Medical Cannabis on Anxiety and Sleep Quality in Older Adults.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Maynard%2C+Madison%22">Maynard, Madison</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dvorak%2C+Robert+D%2E%22">Dvorak, Robert D.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Paulson%2C+Daniel%22">Paulson, Daniel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burr%2C+Emily+K%2E%22">Burr, Emily K.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Allen%2C+Quinn%22">Allen, Quinn</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lighthall%2C+Nichole+R%2E%22">Lighthall, Nichole R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lysandrou%2C+Apollonia+E%2E%22">Lysandrou, Apollonia E.</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Psychiatry%3A+Interpersonal+%26+Biological+Processes%22">Psychiatry: Interpersonal & Biological Processes</searchLink>. Winer2025, Vol. 88 Issue 4, p380-394. 15p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Prevention+of+mental+depression%22">Prevention of mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety+prevention%22">Anxiety prevention</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+marijuana%22">Medical marijuana</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Pain%22">Pain</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+efficacy%22">Drug efficacy</searchLink><br /><searchLink fieldCode="DE" term="%22Sleep+quality%22">Sleep quality</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Sleep+disorders%22">Sleep disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Therapeutics%22">Therapeutics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: Older adults represent the fastest growing demographic of cannabis users, and they endorse cannabis use for a variety of reasons including modulation of chronic pain, mental health symptoms, and sleep concerns. However, current evidence leaves questions of efficacy unanswered among these groups. Goals of the present study were to examine the hypothesis that medical cannabis (MC) use will, at the daily level, predict lower pain, depression, anxiety, and improved sleep. Method: A final sample of 106 MC users were recruited nationwide (ages 55–74, 66.67% female, 82.86% white). A fully within-subject multilevel structural equation model was conducted with use patterns and symptomology broken into four temporal epochs. MC use, operationalized as subjective intoxication (Epoch 1), averaged across the day was used to predict subsequent pain, anxiety, and depression levels (Epoch 2), which were then used to predict sleep that night (Epoch 3), then subsequent pain, anxiety, and depression the following day (Epoch 4) prior to initiation of MC use.Results: Subjective intoxication predicted lower post-use pain, anxiety, and depression. Subjective intoxication is related to lower anxiety and better sleep the following night. Conclusions: These findings provide evidence of momentary improvements in pain, anxiety, depression, and indirect benefits for sleep quality. In combination with other findings, the results advance our understanding of the efficacy and limitations of MC among older adults. Findings are limited by MC measurement and sample homogeneity (primarily White, non-Hispanic female). Future research should seek to further measurement of use and corresponding effects and examine expectancy effects in aging clinical populations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Psychiatry: Interpersonal & Biological Processes 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=189877308
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/00332747.2025.2484827
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 380
    Subjects:
      – SubjectFull: Prevention of mental depression
        Type: general
      – SubjectFull: Anxiety prevention
        Type: general
      – SubjectFull: Medical marijuana
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Structural equation modeling
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Chi-squared test
        Type: general
      – SubjectFull: Pain
        Type: general
      – SubjectFull: Drug efficacy
        Type: general
      – SubjectFull: Sleep quality
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Sleep disorders
        Type: general
      – SubjectFull: Therapeutics
        Type: general
    Titles:
      – TitleFull: Daily Impact of Medical Cannabis on Anxiety and Sleep Quality in Older Adults.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Maynard, Madison
      – PersonEntity:
          Name:
            NameFull: Dvorak, Robert D.
      – PersonEntity:
          Name:
            NameFull: Paulson, Daniel
      – PersonEntity:
          Name:
            NameFull: Burr, Emily K.
      – PersonEntity:
          Name:
            NameFull: Allen, Quinn
      – PersonEntity:
          Name:
            NameFull: Lighthall, Nichole R.
      – PersonEntity:
          Name:
            NameFull: Lysandrou, Apollonia E.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Winer2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 00332747
          Numbering:
            – Type: volume
              Value: 88
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Psychiatry: Interpersonal & Biological Processes
              Type: main
ResultId 1