Does It Matter How Meditation Feels? An Experience Sampling Study
Open accessAbstract
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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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
- Findingown data
Positive affect did not change significantly over time during the 4-week intervention.
“while positive affect did not change over time (B = −0.080, p = .295).”
Quote in the paperSubstantial claim - Findingown data
Pre- to post-test change in psychological distress was associated with trajectories of change in negative affect during meditation.
“Pre- to post-test change in psychological distress was associated with trajectories of change in both positive affect (B = −0.42, p < .001) and negative affect (B = −0.34, p = .003).”
Quote in the paperSubstantial claim - Findingown data
Pre- to follow-up change in psychological distress was associated with trajectories of change in negative affect during meditation.
“Pre- to follow-up change in psychological distress was again associated with trajectories of change in both positive affect (B = −0.56, p < .001) and negative affect (B = −0.20, p = .033).”
Quote in the paperSubstantial claim - Findingown data
The difference between the positive and negative affect coefficients in the pre-post model was not significant.
“The difference between these coefficients was not significant (χ2 [1] = 0.43, p = .512).”
Quote in the paperSubstantial claim - Findingown data
Participants' first post-meditation ratings had moderate associations with baseline distress, with rs of −.25 for positive affect and .35 for negative affect.
“Participants’ first post-meditation practice ratings showed moderate magnitude associations with baseline distress (rs = −.25 and .35, ps < .001, for positive and negative affect, respectively).”
Quote in the paperNot a substantial claim - Findingown data
Negative affect decreased significantly over time during the 4-week intervention.
“Negative affect decreased significantly over time (B = 0.18, p = .017; recall negative affect was reverse scored in analyses)”
Quote in the paperSubstantial claim - Findingown data
There was significant between-participant variation in changes in both positive and negative affect over time.
“There was significant between-participant variation in changes in both positive and negative affect over time (i.e., random effects).”
Quote in the paperSubstantial claim - Findingown data
The difference between the positive and negative affect slope parameters was significant.
“The difference between these slope parameters was significant (χ2 [1] = 8.24, p = .004).”
Quote in the paperNot a substantial claim - Findingown data
The association between pre- to follow-up change in psychological distress and changes in positive affect during meditation was significantly stronger than the association with changes in negative affect.
“The difference between these coefficients was significant (χ2 [1] = 7.24, p = .007), indicating that pre- to follow-up change in psychological distress was more strongly associated with changes in positive affect during meditation practice over time than with changes in negative affect (Figure 3).”
Quote in the paperSubstantial claim - Findingown data
Pre- to post-test change in psychological distress was associated with trajectories of change in positive affect during meditation.
“Pre- to post-test change in psychological distress was associated with trajectories of change in both positive affect (B = −0.42, p < .001) and negative affect (B = −0.34, p = .003).”
Quote in the paperSubstantial claim - Findingown data
Pre- to follow-up change in psychological distress was associated with trajectories of change in positive affect during meditation.
“Pre- to follow-up change in psychological distress was again associated with trajectories of change in both positive affect (B = −0.56, p < .001) and negative affect (B = −0.20, p = .033).”
Quote in the paperSubstantial claim - Interpretationown data
Affective experiences during meditation contain information associated with treatment outcomes.
“results indicate that these experiences contain signal associated with outcomes.”
Quote in the paperSubstantial claim - Study design and conductown data
Participants who completed at least one affect rating did not differ from those who did not on baseline demographic or clinical variables (all ps > .100).
“Participants completing one or more ratings did not differ from those who did not complete ratings on demographic or clinical variables at baseline (ps > .100).”
Quote in the paperNot a substantial claim - Interpretationown data
Associations between changes in affect during meditation and long-term outcomes were not uniform across affect dimensions.
“However, our results also indicate that associations between changes in affect during meditation and long-term outcomes were not uniform across affect dimensions.”
Quote in the paperSubstantial claim - Premisecitation
Naturalistic use of mHealth mindfulness-based intervention tools shows rapid disengagement.
“naturalistic use of these tools shows rapid disengagement (Baumel et al., 2019)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Baumel et al., 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Meditation apps have high and rapid rates of user disengagement.
“Meditation apps, like other mental health apps, demonstrate high and rapid rates of user disengagement (Baumel et al., 2019).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Baumel et al., 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Walsh et al. (2019) found that a mindfulness app produced larger improvements in mood after meditation than a cognitive training active control condition.
“In a sample of 86 undergraduates, Walsh et al. (2019) demonstrated that a mindfulness app produced larger improvements in mood post-meditation practice relative to a cognitive training active control condition.”
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.
- Premisecitation
Only one study has investigated the subjective experience of meditation within an mHealth mindfulness-based intervention.
“To our knowledge, only one study has investigated the subjective experience of meditation within the context of an mHealth MBI.”
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.
- Premisecitation
Positive and negative affect can and often do co-occur in daily life.
“there is evidence that positive and negative affect can and often do co-occur in the context of daily life (Barford et al., 2020; Dejonckheere et al., 2018).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Barford et al., 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Dejonckheere et al., 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The moderate association between baseline psychological distress and affect during participants' first meditation practice suggests that these are at least partially overlapping.
“The moderate magnitude association between baseline psychological distress and affect during participants’ first meditation practice (rs = −.25 and .35, for positive and negative affect, respectively) suggest that these are at least partially overlapping.”
Quote in the paperSubstantial claim - Premisecitation
Effect sizes from meta-analyses of randomized controlled trials of meditation apps are smaller than those for in-person mindfulness-based interventions.
“effect sizes from meta-analyses of RCTs testing meditation app have been smaller than those observed for in-person MBIs (Gál et al., 2021; Linardon, 2020; Goldberg et al., 2022), suggesting a potential tradeoff between scalability and efficacy.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Gál et al., 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Linardon, 2020
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.
- Premisecitation
Randomized controlled trials of meditation apps show beneficial effects on mental health outcomes.
“Data available from RCTs testing meditation apps suggests that these MBIs produce beneficial effects on mental health outcomes (Gál et al., 2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gál et al., 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Increases in positive affect during meditation are most important for long-term benefits.
“Results also highlight the increase of positive affective states during meditation as being most important for long-term benefits, in keeping with the seven factors of awakening (Analayo, 2018) as well as the emphasis in non-mindfulness meditative practices designed to cultivate affective states (e.g., loving-kindness and compassion practices; Dahl et al., 2015).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Analayo, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Dahl et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
Changes in affect during meditation practice may be an important state-like construct that can guide intervention customization.
“Changes in affect during meditation practice in particular may be an important state-like construct (as opposed to a trait-like construct; Zilcha-Mano, 2021; Zilcha-Mano & Fisher, 2022) that can guide intervention customization.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Zilcha-Mano, 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Zilcha-Mano & Fisher, 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductnone given
Affect was assessed using a small number of items that captured only a limited range of potential affective experiences during meditation.
“Second, and relatedly, affect was assessed using a small number of items which captured only a limited range of potential affective experiences that may occur during meditation.”
Quote in the paperNot a substantial claim - Premisecitation
Early Buddhist sources describe the waning of aversion and restlessness-and-worry over meditative development.
“these same sources provide clear descriptions of the process of meditative development that includes the waning of certain affective experiences such as aversion and restlessness-and-worry, two of the “five hindrances” which hinder the development of meditative concentration (Analayo, 2018).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Analayo, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Effect sizes for mHealth mindfulness-based interventions remain modest.
“effect sizes associated with these interventions remain modest (Gál et al., 2021)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gál et al., 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Exposure to meditation initially through a meditation app may be associated with higher rates of adverse reactions to meditation practice.
“There is also evidence that exposure to meditation initially through a meditation app may be associated with higher rates of adverse reactions to meditation practice (Goldberg et al., 2021).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Goldberg et al., 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductreasoning
The two-step approach for modeling change is vulnerable to attenuation-related regressor bias because change scores were estimated with error that was ignored when entered into multilevel models.
“Fifth, we used a two-step approach for modeling change from pre- to post-test and pre- to follow-up (i.e., extracting residualized change scores from regression models). This approach is vulnerable to attenuation-related regressor bias, as change scores were estimated with error that was ignored when the change scores were subsequentially entered into multilevel models.”
Quote in the paperNot a substantial claim - Premisecitation
Users of self-guided meditation apps may be ill-equipped to work with challenging experiences that are known to arise for some during meditation.
“As these interventions are often self-guided, users may be ill-equipped to work with challenging experiences that are known to arise for some during meditation practice (Aizik-Reebs et al., 2021; Britton et al., 2022).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Aizik-Reebs et al., 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Britton et al., 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Affect during meditation is a relevant proximal indicator of treatment response that contains signal associated with short- and long-term effects.
“This supports the notion that affect during meditation is a relevant proximal indicator of treatment response that contains signal associated with short- and long-term effects.”
Quote in the paperSubstantial claim - Study design and conductown data
The sample was predominantly non-Hispanic White and female, which limits generalizability to other gender and racial/ethnic groups.
“Lastly, our sample was predominantly non-Hispanic White and female, which limits generalizability to other gender and racial/ethnic groups.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The subjective affective experience of meditation practice may be a relevant indicator of response to mHealth mindfulness-based interventions that could guide their delivery.
“The subjective affective experience of meditation practice may be a relevant indicator of response to mHealth MBIs that could be used to guide the delivery of these interventions.”
Quote in the paperNot a substantial claim - Interpretationown data
Changes in positive affect may be particularly important for long-term effects of mHealth mindfulness-based interventions.
“Changes in positive affect may be particularly important for long-term effects of mHealth MBIs.”
Quote in the paperSubstantial claim - Interpretationown data
How meditation feels may have implications for the benefits participants ultimately receive from their practice.
“Results suggest that how meditation feels may have implications for the benefits participants ultimately receive from their practice.”
Quote in the paperSubstantial 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 dataPositive 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 claimMay combine two claims.
Findingown dataAdding 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 claimMay combine two claims.
Findingown dataAdding 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 claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe 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
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Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe 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 claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe 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
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe 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 conductcitationBecause 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).
PremisecitationA 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.
PremisecitationThe 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.
PremisecitationEmpirical 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
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- cites Goldberg et al., 2022
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- 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 conductreasoningThe 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 claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTraditional 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 conductreasoningThe 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 claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataIn this sample, the Perceived Stress Scale had adequate internal consistency (α = .85).
“Internal consistency was adequate (α = .85).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationAll 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.
PremisecitationState 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 givenThe 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 claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEarly 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.
PremisecitationNon-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
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Study design and conductcitationPost-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.
PremisecitationMindfulness 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
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Study design and conductown dataResidualized 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 claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe 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
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PremisecitationmHealth 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 dataAffect 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 claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationImprovements 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.
PremisecitationPractice 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
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- 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 conductcitationThe 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.
PremisecitationWalsh 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).
PremisecitationLoving-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 dataIt 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 claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe 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 claimMay combine two claims.
Study design and conductown dataThe 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
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.”
Cited by
Sorted by citations
The meditation app revolution.
Creswell, J. D., & Goldberg, S. B. (2025) · American Psychologist · doi:10.1037/amp0001576 · Cited by 18 · see citing works
“Ecological momentary assessments could also capture candidate mechanisms, such as affect experienced during meditation (Goldberg et al., 2024), that can also guide intervention delivery.”
Self-citationGoldberg, S. B., Kendall, A. D., Hirshberg, M. J., Dahl, C. J., Nahum-Shani, I. B., Davidson, R. J., & Bray, B. C. (2024) · Clinical Psychological Science · doi:10.1177/21677026241266567 · Cited by 13 · see citing works
Self-citationRauch, A. A., Conley, C. S., Banerjee, S., Kahrilas, I. J., Georgaras, A., Roth, G. E., DeLorenzo, B. M., Gonzales, C. H., Polnaszek, K. L., Duffecy, J. L., et al. (2026) · Mindfulness · doi:10.1007/s12671-026-02870-2
“…literature illustrating that MBIs boost positive affect (Conley et al., 2024; Dunn et al., 2024; Fredrickson et al., 2017; Garland et al., 2015; Goldberg et al., 2024; Lindsay et al., 2018) and is important for motivating future MBIs that effectively target positive affect in order to reduce…”
Goldberg, S. B., Jiwani, Z., Dahl, C. J., Tatar, R., Dunne, J. D., Davidson, R. J., & Hirshberg, M. J. (2026) · Mindfulness · doi:10.1007/s12671-026-02787-w
“A variety of other variables (e.g., affect during practice, time of day, stress level; Berardi et al., 2023; Goldberg et al., 2024) may impact the effect of active practices and are important to evaluate in future studies.”
Self-citationTran, T. T. T., Sairin, S., Widigdo, M. S. A., & Fitria, M. (2025) · SHS Web of Conferences · doi:10.1051/shsconf/202522406003
- 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
- PMC
- PMC11448736
- 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
- hybrid
- doi.org
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read under definition version 3 (extract-v3) on 2026-09-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.
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