Cited by 5Mindfulness and Compassion InterventionsDigital Mental Health InterventionsReligion, Spirituality, and Psychology

Does It Matter How Meditation Feels? An Experience Sampling Study

Open access
Goldberg, Simon B., Bolt, Daniel M., Dahl, Cortland J., Davidson, Richard J., Hirshberg, Matthew J.·2024·Journal of Consulting and Clinical Psychology

Abstract

Objective: Meditation apps are the most widely used mental health apps. The precise mechanisms underlying their effects remain unclear. In particular, the degree to which affect experienced during meditation is associated with outcomes has not been established. Method: We used the meditation app arm of a recently completed randomized controlled trial comparing a self-guided meditation app (Healthy Minds Program) to a waitlist control. Predominantly distressed public school employees (n = 243, 80.9% with clinically elevated depression and/or anxiety) reported positive and negative affect during meditation practice. Data were analyzed using two-level multivariate latent growth curve models (observations nested within participants) that simultaneously attended to both positive and negative affect. We examined whether positive and negative affect during meditation changed over time and whether these changes were associated with changes in psychological distress (parent trial’s preregistered primary outcome) at posttest or 3-month follow-up. Results: On average, participants reported decreased negative affect but no change in positive affect during meditation over time. Increased positive affect and decreased negative affect during meditation were associated with improvements in distress at posttest and follow-up. Change in positive affect was a stronger predictor of distress at follow-up than change in negative affect. Conclusions: Despite notions embedded within mainstream mindfulness meditation training that deemphasize the importance of the affective experience of practice (i.e., nonjudgmental awareness of present moment experience, regardless of valence), results indicate that these experiences contain signals associated with outcomes. Monitoring affect during meditation may be worthwhile to guide intervention delivery (i.e., measurement-based care, precision medicine). © 2024 American Psychological Association

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Crossref · 10.1037/ccp0000857

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Nothing to recompute.

Claims the paper makes

0 of 46 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    Among participants in the meditation app arm, positive affect during meditation did not change on average over the training period.

    “On average, participants reported decreased negative affect but no change in positive affect during meditation over time.”
    Quote in the paperSubstantial claim
  • Findingown data

    Decreases in negative affect during meditation were associated with improvements in psychological distress at post-test and 3-month follow-up.

    “Increased positive affect and decreased negative affect during meditation were associated with improvements in distress at post-test and follow-up.”
    Quote in the paperSubstantial claim
  • Findingown data

    Change in positive affect during meditation was a stronger predictor of distress at follow-up than change in negative affect.

    “Change in positive affect was a stronger predictor of distress at follow-up than change in negative affect.”
    Quote in the paperSubstantial claim
  • Findingown data

    Increases in positive affect during meditation were associated with improvements in psychological distress at post-test and 3-month follow-up.

    “Increased positive affect and decreased negative affect during meditation were associated with improvements in distress at post-test and follow-up.”
    Quote in the paperSubstantial claim
  • Findingown data

    Among participants in the meditation app arm, negative affect during meditation decreased on average over the training period.

    “On average, participants reported decreased negative affect but no change in positive affect during meditation over time.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. 28
  • May combine two claims. 14
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    Positive and negative affect dimensions were negatively correlated overall, within participants, and between participants (all ps < .001).

    “Correlations between affect dimensions were r = −.34 (overall), r = −.42 (within participant), and r = −.27 (between participant), all ps < .001.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Adding pre- to follow-up change in psychological distress to the model explained 27% of variance in positive affect slopes and 7% of variance in negative affect slopes.

    “Thus, the addition of pre- to follow-up psychological distress was associated with an R2 of 0.27 for positive affect slope (i.e., [0.41 – 0.30] / 0.41) and an R2 of 0.07 for negative affect slope (i.e., [0.27 – 0.25] / 0.27).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Adding pre- to post-test change in psychological distress to the model explained 20% of variance in positive affect slopes and 19% of variance in negative affect slopes.

    “Thus, the addition of pre- to post-test psychological distress was associated with an R2 of 0.20 for positive affect slope (i.e., [0.41 – 0.33] / 0.41) and an R2 of 0.19 for negative affect slope (i.e., [0.27 – 0.22] / 0.27).”
    Quote in the paperSubstantial claim
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    Study design and conductcitation

    The computer adaptive PROMIS Depression and Anxiety measures have strong convergent validity with legacy measures.

    “The computer adaptive PROMIS Depression and PROMIS Anxiety measures have shown strong convergent validity with legacy measures assessing these constructs (Choi et al., 2014; Schalet et al., 2014).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Choi et al., 2014

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Schalet et al., 2014

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    The parent trial's preregistered primary outcome was a composite of depression, anxiety, and stress measures.

    “The preregistered primary outcome for the RCT was psychological distress which was computed as a composite of depression, anxiety, and stress measures.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation

    The parent trial had a preregistered target sample size of 400, estimated to provide 80% power to detect between-group differences of Cohen's d ≥ 0.38, assuming 43.4% attrition and α = .050.

    “The preregistered target sample size for the RCT was 400 which was estimated to provide 80% power to detect between-group differences of Cohen’s d ≥ 0.38, assuming 43.4% attrition (Linardon & Fuller-Tyszkiewicz, 2020) with α = .050.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Linardon & Fuller-Tyszkiewicz, 2020

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    The parent randomized controlled trial was preregistered, but the analyses reported in this study were exploratory and not preregistered.

    “The RCT from which these data were drawn was preregistered (Hirshberg et al., 2022; NCT04426318 ) although the analyses reported here were exploratory and not preregistered.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Hirshberg et al., 2022

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites NCT04426318

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductcitation

    Because there were many Level 2 units, the authors used robust standard errors, which are less sensitive to violations of multilevel model assumptions.

    “Given the large number of Level 2 units, we interpreted results using robust standard errors as these are less sensitive to violations of multilevel model assumptions (Snijders & Bosker, 2012).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Snijders & Bosker, 2012

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A psychological distress composite was computed based on prior work showing high correlations among depression, anxiety, and stress measures.

    “A psychological distress composite was computed based on prior work showing high correlations between these measures (Goldberg, Imhoff-Smith, et al., 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Goldberg, Imhoff-Smith, et al., 2020

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Classified as probably not a substantial claim.

    Premisecitation

    The mechanisms underlying potential beneficial effects of mHealth mindfulness-based interventions remain unclear.

    “the mechanisms underlying potential beneficial effects remain unclear (Goldberg, 2022)”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Goldberg, 2022

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation

    Empirical evidence from hundreds of randomized controlled trials suggests that mindfulness-based interventions produce mental health effects superior to waitlist controls and comparable to other evidence-based treatments.

    “empirical evidence from hundreds of randomized controlled trials (RCTs) suggesting that, on average, MBIs produce effects on various mental health outcomes that are superior to waitlist controls and on par with other evidence-based treatments (Galante et al., 2021; Goldberg et al., 2022; Kuyken et al., 2016).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Galante et al., 2021

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Goldberg et al., 2022

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Kuyken et al., 2016

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Study design and conductreasoning

    The study did not manipulate affect, so associations between changes in affect and changes in outcomes are correlational.

    “Fourth, we did not manipulate affect and thus associations between changes in affect and changes in outcomes are ultimately correlational.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Traditional early Buddhist sources highlight the value of attending to the affective valence of present moment experience.

    “Traditional early Buddhist sources such as the “mindfulness sutta” (Satipatthana Sutta) that have served as a major part of the basis for secular forms of mindfulness meditation (Harrington & Dunne, 2015) highlight the value of attending to the affective valence of present moment experience (Analayo, 2018).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Analayo, 2018

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductreasoning

    The small number of items may have reduced the reliability of affect ratings.

    “Moreover, the small number of items may have reduced reliability of affect ratings (although this presumably would have made it more difficult to detect associations with changes in distress).”
    Quote in the paperNot a substantial claim
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    Study design and conductown data

    In this sample, the Perceived Stress Scale had adequate internal consistency (α = .85).

    “Internal consistency was adequate (α = .85).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation

    All models were estimated with maximum likelihood, an approach robust to data missing at random.

    “Maximum likelihood estimation was used for all models which is robust to data missing at random (Graham, 2009).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Graham, 2009

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    State mindfulness and decentering during meditation increase over the course of training.

    “state mindfulness and decentering (i.e., curiosity and awareness of experience with healthy psychological distance; Lau et al., 2006) during meditation have been shown to increase over the course of training (Shoham et al., 2017)”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Shoham et al., 2017

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The study did not assess affect before each meditation practice session or outside the context of meditation practice.

    “Third, we did not assess affect prior to each meditation practice session nor outside of the context of meditation practice.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Early Buddhist sources describe the increase in joy and calm over meditative development.

    “These sources also describe the increase in other affective experiences such as joy and calm, two of the “seven factors of awakening” that are viewed as mental factors that mature over the course of training (Analayo, 2018).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Analayo, 2018

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Classified as probably not a substantial claim.

    Premisecitation

    Non-mindfulness styles of meditation, such as practices from later Buddhist traditions, often emphasize the cultivation of particular mental qualities and affective experiences.

    “non-mindfulness styles of meditation practice including practices drawn from later Buddhist traditions (e.g., Tibetan Buddhism) often emphasize the cultivation of particular mental qualities and affective experiences (Dahl et al., 2015).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Dahl et al., 2015

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation

    Post-practice affect items were drawn from prior experience sampling work on the subjective experience of meditation.

    “Items were drawn from prior experience sampling work investigating the subjective experience of meditation practice (Shoham et al., 2017).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Shoham et al., 2017

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Mindfulness meditation is the most popular content within mental health apps, with Headspace and Calm accounting for 90% of monthly active users of mental health apps.

    “Mindfulness meditation specifically has emerged as by far the most popular content within mental health apps, with the two most widely used meditation apps (Headspace and Calm) alone accounting for 90% of monthly active users of mental health apps (Wasil et al., 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Wasil et al., 2020

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    Residualized change in psychological distress was available for 219 participants (90.1%) at post-test and 218 (89.7%) at 3-month follow-up among those providing at least one post-meditation rating.

    “Of participants providing one or more post-meditation practice ratings, residualized change in psychological distress was available for 219 (90.1%) at post-test and 218 (89.7%) at 3-month follow-up.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation

    The fixed form versions of the PROMIS Depression and Anxiety scales have adequate internal consistency reliability (αs ≥ .90).

    “the fixed form versions of the PROMIS Depression and PROMIS Anxiety scales have shown adequate internal consistency reliability (αs ≥ .90; Pilkonis et al., 2011).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Pilkonis et al., 2011

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    mHealth mindfulness-based interventions, including meditation apps, are a promising means for disseminating evidence-based mental health strategies.

    “mHealth MBIs including meditation apps have emerged as a promising means for dissemination of evidence-based strategies to support mental health (Wasil et al., 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Wasil et al., 2020

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationown data

    Affect during meditation may be a highly relevant target for routine monitoring with mHealth mindfulness-based interventions.

    “These results support the notion that affect during meditation may be a highly relevant target for routine monitoring with mHealth MBIs.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Improvements in state mindfulness during meditation are linked to decreases in distress within Mindfulness-Based Stress Reduction.

    “with improvements in state mindfulness during meditation linked to decreases in distress within the context of Mindfulness-Based Stress Reduction (MBSR; Kiken et al., 2015).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Kiken et al., 2015

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Practice quality has been associated with improvements in distress and trait mindfulness and has been shown to mediate the association between formal practice and outcomes within Mindfulness-Based Stress Reduction.

    “has been associated with improvements in distress and trait mindfulness and shown to mediate the association between formal practice and outcomes within MBSR (Del Re et al., 2013; Goldberg et al., 2014; Goldberg, Knoeppel, et al., 2020).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Del Re et al., 2013

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Goldberg et al., 2014

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Goldberg, Knoeppel, et al., 2020

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductcitation

    The 10-item Perceived Stress Scale has strong convergent and discriminant validity.

    “The 10-item PSS has shown strong convergent and discriminant validity (Roberti et al., 2006).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Roberti et al., 2006

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation

    Walsh et al. used a mood composite and did not examine positive and negative mood separately.

    “Although Walsh et al. used a measure of mood that assessed both positive and negative affect, their analyses focused on a mood composite and did not examine positive and negative mood separately.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Walsh et al., 2019

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Loving-kindness and compassion practices involve the intentional cultivation of feelings of warmth and kindness toward oneself and others.

    “loving-kindness and compassion practices involve the intentional cultivation of feelings of warmth and kindness towards oneself and others, which have an affective valence (Dahl et al., 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Dahl et al., 2020

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationown data

    It is possible that changes in affect during meditation mirror general changes in affect and that this general change, rather than a meditation-specific change, is associated with outcomes.

    “Thus, it is entirely possible that the changes in affect during meditation mirror changes being generally experienced by the participants and that it is this general change in affect, rather than a meditation-specific or meditation-induced change in affect, that is associated with outcomes.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    The mHealth mindfulness-based intervention context may be a fruitful place to explore these dynamics.

    “The mHealth MBI context may be a fruitful place to explore these dynamics, given proximal indicators of long-term effects can be readily assessed and theoretically responded to within digital interventions.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Study design and conductown data

    The sample was predominantly distressed participants from a non-clinical setting (public schools), and results may or may not generalize to treatment-seeking populations.

    “In addition, the sample was predominantly distressed participants drawn from a non-clinical setting (public schools) and results may or may not generalize to treatment seeking populations.”
    Quote in the paperNot a substantial claim
34 of 34
  • The paper relies on this without support.

    The association between affect experienced during meditation and treatment outcomes has not been established.

    “the degree to which affect experienced during meditation is associated with outcomes has not been established.”
  • The paper relies on this without support.

    The precise mechanisms underlying the effects of meditation apps remain unclear.

    “The precise mechanisms underlying their effects remain unclear.”
  • The paper relies on this without support.

    It is unclear whether affective experience during meditation changes over training and whether such changes relate to short- and long-term treatment outcomes.

    “To date, it is unclear the degree to which affective experience during meditation changes over the course of training and whether such changes are associated with short- and long-term treatment outcomes.”
  • The authors state this as an assumption.

    This is the first study to establish links between affect experienced during meditation and long-term outcomes and one of the few studies investigating the subjective experience of meditation within an mHealth mindfulness-based intervention.

    “To our knowledge, this is the first study to establish links between affect experienced during meditation with long-term outcomes and one of the few studies investigating the subjective experience of meditation within an mHealth MBI.”
4 of 4

Cited by

Sorted by citations

Authors
Goldberg, S. B., Bolt, D. M., Dahl, C. J., Davidson, R. J., & Hirshberg, M. J.
Affiliations
University of Wisconsin–Madison (US)
Corresponding author
Goldberg, Simon B.
Venue
Journal of Consulting and Clinical Psychology
Published
2024-08
Volume
92
Issue
8
Pages
531-541
ISSN
  • 0022-006X (ISSN-L)
  • 1939-2117
OpenAlex
W4402987148
Cited by
5
References
0
Citations by year
2026: 2 · 2025: 2 · 2024: 1
FWCI
2.49
Type
journal article
Language
en
Open access
Locations
  • Journal of Consulting and Clinical Psychology (publishedVersion, other-oa)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Chan Zuckerberg Initiative (DAF 2020-218037 [5022])
  • National Academy of Education/Spencer Foundation
  • National Center for Complementary and Integrative Health (K23AT010879, U24AT011289)
  • Hope for Depression Research Foundation Defeating Depression
  • Wisconsin Center for Education Research
  • University of Wisconsin Madison
  • Wisconsin Alumni Research Foundation
  • Sponsor name not included
  • University of Wisconsin–Madison
Topics
  • Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Health › Religion, Spirituality, and Psychology
Keywords
meditation, positive affect, negative affect, emotional experience, psychological distress, depression, anxiety, measurement-based care, precision medicine, intervention delivery, mental health apps
MeSH terms
Ecological Momentary Assessment, Psychological Distress, Adult, Affect, Anxiety, Depression, Female, Humans, Male, Middle Aged, Meditation, Mobile Applications, Mindfulness

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