Abstract
Mindfulness-based interventions (MBIs) have been shown to reduce both subjective experiences and physiological markers of stress, a central pathway to improving health and wellbeing. Yet, understanding of the causal mechanism through which MBIs affect stress-related health outcomes remains poor. Most MBIs rely on training programs that simultaneously target multiple and distinct mental processes, hampering mechanistic conclusions. Addressing this shortcoming, the present selective review provides an overview of randomized controlled trials (RCTs) that directly contrast the effects of distinct components of mindfulness on stress-related health. We examine two comparative frameworks, the prominent Monitor and Acceptance Theory (MAT) and the ReSource training program, an intervention protocol designed to disentangle mindfulness components in a large-scale mental training project. We focus on how a) attention monitoring and b) experiential acceptance skills affect the stress-related outcomes assessed. These include subjective-psychological stress and affect, and physiological stress and stress-related health markers (e.g., activity of the autonomic nervous system, the hypothalamic-pituitary-adrenal axis and proinflammatory activity), each in two different states of the stress system: acutely stressful challenges and more long-term basal functioning. In line with MAT, we find that monitoring needs to be coupled with acceptance for beneficial effects on stress-related physiological activity in states of acute challenge. In basal states, however, physiological stress activity can be buffered by monitoring alone, especially if practiced for longer duration. We suggest that when dealing with basal longer-term stress, monitoring allows individuals to use coping mechanisms other than acceptance, such as social support. Subjective-psychological stress and affect were mostly assessed in basal states and show either non-specific effects after all types of training, or are most affected by combined monitoring and acceptance. Our work highlights the need to evaluate different training mechanisms in relation to stress-specific states (herein, basal versus challenge) and outcomes (herein, subjective-psychological versus physiological) in order to better understand mindfulness mechanisms of action.
1 Introduction
The experience of stress plays a crucial role in the development and maintenance of both mental disorders and physical health conditions (, ). Given the globally rising prevalence of mental health issues (), one particularly promising healthcare approach involves the reduction of transdiagnostic risk factors, such as the psycho-physiological stress load, for the purpose of prevention (). Mindfulness-based interventions (MBIs) have become one of the most popular () and widely studied () interventions for stress reduction and promotion of mental and physical wellbeing. The mechanisms underlying mindfulness training effects, however, remain surprisingly poorly understood, hampering advancement of the field. Research into MBI wellbeing effects for generally healthy adults can inform underlying mechanisms, potential for preventive application, as well as efficacy in the general population. Here, we aim to further this knowledge through a selective review of randomized controlled trials (RCTs) that contrast distinct mindfulness components with regard to their effects on stress-related health outcomes (termed “comparative RCTs” in the following), ranging from subjective-psychological stress and affect, to physiological stress and stress-related health markers.
1.1 MBI efficacy for stress-related health outcomes
Mindfulness is a notoriously elusive concept, and a truly unifying definition has not been achieved (). Building on a prominent definition by Jon Kabat-Zinn (), mindfulness is operationalized as a particular way of focusing attention characterized by two key features: First, self-regulation of attention towards the present moment and ongoing experiences, which involves attentional monitoring and control. Second, the adoption of a particular orientation to experience characterized by equanimity and acceptance toward each moment of one’s experience (). Relatedly, “Mindfulness-based interventions” (MBIs) refer to intervention programs that involve repeated training in mindfulness meditation practices (), or following the above, the conscious cultivation of the mindfulness elements present-moment attention and experiential acceptance (cf. ).
Over the past three decades, research into the benefits of MBIs has accumulated promising evidence for their capacity to improve health and wellbeing. Recent carefully conducted systematic reviews and meta-analyses identify robust evidence that MBIs improve subjective wellbeing, including perceived stress, depression and anxiety, in both clinical (, ) and non-clinical populations (, , ). Evidence is strongest for at-risk participants, such as those with chronic physical health problems (, ), and compared to taking no action (, ).
Reductions in subjective-psychological stress as one central aspect of wellbeing are among the best-documented health-related outcomes of contemplative practices for healthy adults to date [e.g., (, )]. This psychological stress load is tightly coupled with activity of the hypothalamic-pituitary-adrenal (HPA) and sympathetic-adreno-medullar (SAM) axes, our two main stress systems [although this relationship is not always straightforward in acute () or basal states ()]. And while mounting an appropriate stress response is necessary during acute threat, prolonged HPA activity leads to health deterioration, reflected, for example, in chronic inflammation and general accumulation of allostatic load (, ). Therefore, in the general healthy population, lower stress-induced and overall secretion of the HPA axis end-product cortisol are considered more adaptive1, and used to quantify physiological stress-reduction after MBIs. Current evidence for such reduced cortisol secretion is mixed, but increasingly promising [e.g., after acute challenge: (); in basal state: e.g., (–)], particularly for non-clinical at-risk populations (). Reduced physiological stress load has been proposed as a key pathway through which MBIs improve downstream health and wellbeing (, ), making physiological stress indices particularly important endpoints of MBIs.
1.2 Mechanisms of mindfulness: current issues
Despite advancements in research synthesis, reviews point out the heterogeneity of study designs and respective wellbeing outcomes [see e.g., (, )], also highlighting that improvements in study quality have been only modest over the years (, ). Central to this issue is the inconsistency and often broad nature of intervention protocols, leading to a lack of knowledge about unifying mechanisms and moderators of MBI effects. Typically, interventions simultaneously target multiple and distinct psychological processes, roughly categorizable into attention-, affect- and cognition-based. Mechanistic considerations are predominantly based on correlational studies (, ). As such, there is limited evidence directly informing the causal pathways by which MBIs may produce their effects in general, and impact stress-related health outcomes in particular (, , , ).
Understanding different mechanisms of action or “active ingredients” of interventions would form the basis for designing future interventions more effectively and personalizing meditation programs to different populations, contexts and needs. Yet, few selected RCTs have begun to directly compare different MBI components with respect to health and wellbeing outcomes against each other in comparative MBIs. The most notable effort in this context is made by Lindsay and Creswell’s Monitor and Acceptance Theory (MAT), in which the authors conceptualize mindfulness capacities in terms of monitoring and acceptance (, ), which they investigated in two dismantling RCTs to date (). Similarly, the ReSource Project is a multi-method longitudinal RCT that partialized contemplative mental training techniques into the three broad domains of attention, socio-affective and socio-cognitive skills, and tested their distinct effects on a broad range of outcome measures (, ). With their randomized and comparative designs, these investigations provide unique assets for understanding MBI effects and relative effectiveness of different mindfulness facets. A first review of MAT dismantling RCTs supports MAT predictions in that acceptance is a critical component for MBI effects on stress sensitivity, positive emotion, and social relationship outcomes ().
2 The current review
With the present work, we aim to advance the causal understanding of MBI training mechanisms through a selective review of randomized controlled trials (RCTs) that contrast distinct mindfulness components with regard to their effects on stress-related health outcomes (termed “comparative RCTs”). We begin by giving an overview of four key accounts that distinguish different mindfulness-based training mechanisms. We then outline and discuss the results of the above comparative intervention protocols, MAT and ReSource. Owing to the multifaceted nature of stress and its effectors (), we subdivide findings into states of acute challenge to the stress system and basal states. Because we evaluate patterns of identified training effects, we focus only on positive findings (null findings of the respective studies are summarized in the Supplementary Table S1).
Health outcomes of different types of MBI programs (rather than mindfulness components) [e.g., mindfulness-based stress reduction (MBSR (); compassion-focused therapy ()] have certainly also been tested in a multitude of studies comparing their effects to control groups. As these studies lack mechanistic comparisons of different mindfulness-based practices, they are not considered in this review. Excellent reviews and meta-analyses can be found elsewhere (, , , ). Moreover, Box 1 gives a short summary of studies investigating the differential relationships of monitoring and/or acceptance skills with stress- and health-related outcomes outside of training intervention designs, in correlational studies or after single session inductions, again grouped by challenge and basal states [see also (, )].
Box 1 Results from correlational studies and single-session inductions.
For challenge states, results from correlational and single-session inductions clearly highlight differential effects of monitoring versus acceptance trait expressions or instructions. Findings affirm the possibility of stress exacerbation if only monitoring is practiced (see Creswell & Lindsay, MAT), revealing evidence for relatively increased stress reactivity with higher trait monitoring skills (), stronger threat responses after awareness manipulation (), and impaired stress-induced cognitive performance after one session of breath awareness (). Additionally, high trait monitoring/low acceptance skills were linked to a flatter cortisol awakening response (CAR), and higher trait acceptance/low monitoring skills were linked to steeper CAR (). While this is contrary to what we find in ReSource [higher CAR after monitoring (Presence), and lower CAR after monitoring and acceptance (Presence and Affect) or acceptance (Affect) training alone; ; see also Section 3 Overview of key accounts distinguishing mindfulness-related mental processes], the acceptance-specific outcomes were interpreted as adaptive in both instances. This inconsistency can be attributed to distinct perspectives on the CAR in stress research. Much like for the acute stress response, insufficient rises in awakening cortisol would leave an individual unprepared for the challenges of the upcoming day (, ). Yet, repeatedly very high CARs may accumulate to allostatic load over time. To that effect, an increased CAR has been linked to job and general life stress (), depression (), and borderline personality disorder ().
Studies correlating monitoring and acceptance abilities in meditation-naïve samples with long-term basal outcomes mostly focused on participant self-reports, and converge well with MAT assumptions. Thus, emotional and health-related symptoms in daily life showed a differentiable pattern with mostly positive outcomes only if monitoring was associated with high acceptance ability. When taken by itself, the ability to monitor present-moment experiences was linked to maladaptive emotional symptoms (–). Additionally, lower acceptance alone, independent of monitoring skills, was linked to self-reports of higher chronic stress ().
Trait monitoring skills alone have also been considered a correlate of positive affectivity in some studies (, –). With the authors of MAT suggesting that high monitoring ability enhances attention to both negative and positive cues, the everyday life context should allow for all possible outcomes, depending on whether negative or positive stimuli dominate in an individual’s life. In other words, heightened monitoring of predominantly positive experiences may be sufficient to intensify positive outcomes, and should not be considered a contradiction to MAT (, ).
Again confirming MAT, work testing diurnal cortisol regulation as an indicator of the long-term physiological stress load showed that a self-report profile of high monitoring or one of high monitoring and low acceptance skills was linked to flatter diurnal cortisol slopes (, ). Low monitoring and high acceptance or high acceptance skills were linked to sharper cortisol decreases in the evening () and steeper diurnal cortisol slopes (). Steepness in diurnal cortisol slopes is considered an indicator of good mental and physical health ().
3 Overview of key accounts distinguishing mindfulness-related mental processes
Theoretical accounts of the last decade have proposed comprehensive taxonomies that distinguish central elements of mindfulness-based and contemplative practices, broadly based on the involved practice types, underlying cognitive and affective processes and anticipated outcomes (, –). In the following, we outline four influential frameworks.
3.1 Monitor and acceptance theory
The Monitor and Acceptance Theory (MAT; () builds on attention monitoring and experiential acceptance as key components of mindfulness (), with a particular focus on mechanisms driving stress reduction and related health outcomes (, ). In MAT, Lindsay and Creswell define attention monitoring as the “ongoing awareness of present-moment sensory and perceptual experiences [ … ] [which] relies on selective and executive attention networks”. Experiential acceptance is defined as a “mental attitude of non-judgment, openness and receptivity, and equanimity toward internal and external experiences”. Thus, acceptance is used in the sense of an umbrella term that encompasses a range of acceptance-related constructs [(), p. 50]. MAT treats monitoring and acceptance as dissociable skills, and suggests that it is their combination that builds the active mechanisms for mindfulness training effects.
According to MAT, cultivation of attention monitoring will boost awareness of present-moment experience, regardless of whether that experience is positive, negative, or neutral. It will consequently improve cognitive – but not affective – outcomes (). Given that monitoring skills are likely to develop before acceptance skills (, ), initial emotional agitation and symptom exacerbation may happen as monitoring is practiced. Through cultivation of acceptance, however, individuals are predicted to deal with their emotional states more effectively, building on the idea that acceptance skills are central tools of emotion regulation. Specifically, a mental stance of acceptance should modify the relationship with all monitored experiences: negative ones become less potent, neutral ones a source of rest or even pleasure, while positive experiences can be relished. This unified framework has been investigated in two dismantling trials of training monitoring alone (Monitor Only) versus training monitoring plus acceptance (Monitor + Accept) (–).
3.2 ReSource
The ReSource Program presents a conceptual training framework that targets attentional, affective and cognitive capacities in a comparative intervention design (, ). It categorizes meditation and other contemplative techniques into three modules termed Presence, Affect and Perspective. While the ReSource Program goes beyond the training of monitoring and acceptance alone, its modules do differentially target attention monitoring and acceptance skills: The core processes cultivated in the Presence module are attention and interoceptive body awareness, thus mapping onto MAT’s Monitor training. The Affect module targets social emotions such as compassion, loving kindness and gratitude, also aiming to enhance prosocial motivation, and includes a unique dyadic training that is focused on the acceptance of difficult emotions (). This module subsumes, but goes beyond MAT’s Accept training. The Perspective module focuses on meta-cognition and perspective-taking on self and others, with the Perspective dyad honing in on perspective-taking on different internal aspects of the self. This module shares no common mechanisms with monitoring and acceptance as targeted in MAT.
The ReSource Project investigated the potentially differential effects of these modules on a variety of psychosocial and health-related endpoints in a large-scale longitudinal investigation (see Box 2). Its outcomes can provide evidence for or against differentiable effects of training monitoring and acceptance, as well as MAT’s specific predictions. In support of the above mapping to MAT, Presence training was found to increase present-moment-focus and body-awareness, counteracting distraction through thoughts (–), while Affect lead to greater use of acceptance as an emotion regulation strategy, and reduced maladaptive avoidant strategies ().
Box 2 Design of the ReSource Project.
The ReSource Project () is a multimodal longitudinal mental training study realized with N=332 healthy, meditation-naïve male and female participants. Designed as a randomized clinical trial, participants were randomly allocated to one of three training cohorts (TC1, TC2, TC3) completing the training modules (Presence, Affect, Perspective) in different orders, or to a passive retest control cohort (RCC). TC1 and TC2 both started with the attention-based Presence module, followed by the socio-affective Affect and socio-cognitive Perspective modules in reverse order. TC3 only attended the 3-month Affect module, thus allowing to isolate its specific effects. Participants were tested on psychosocial and health-related endpoints at baseline (T0) and after each 3-month training module (T1, T2, T3). Of all the ReSource data assessments, only acute stress testing was realized in a cross-sectional design.
3.3 Attentional, constructive and deconstructive families
Contemplative practices and interventions frequently extend beyond training mindfulness as monitoring and acceptance. Conceptualizing the consequently broader mechanisms is a challenging and incomplete endeavor. In one influential account, Dahl and colleagues () propose an overarching classification system of different meditation styles into attentional, constructive and deconstructive families - which arguably still subsume monitoring and acceptance as essential and differentiable mechanisms of action (see Box 3). While well described, this model has not been translated to a comparative study design.
BOX 3 Classification of attentional, constructive and deconstructive practices.
Dahl et al. () propose an overarching classification system categorizing different meditation styles based on their cognitive mechanisms into attentional, constructive and deconstructive families. The attentional family targets attention regulation and meta-awareness through the training of attention orientation and openness, monitoring, and detecting and disengaging from distractors. All practices falling under this family should raise practitioners’ awareness of their own thinking, feeling and perceiving. Attention monitoring as understood in the two-component mindfulness model (), and as adopted by MAT and the trainings of the ReSource Presence module, can be grouped into this family.
The constructive family targets new perspective taking and reappraisal of thoughts and emotions by systematically altering their content. It comprises practices aiming to replace maladaptive beliefs about the self with more adaptive ones. Techniques used to accomplish these aims are, for example, the cultivation of patience and equanimity, of kindness and compassion, and a reorientation of the mind towards true meaning. MAT acceptance, ReSource Affect and the majority of ReSource Perspective training could be categorized within the constructive family.
Practices falling under the deconstructive family aim to undo maladaptive cognitive patterns. Techniques toward this aim are to explore the dynamics of cognition, emotion and perception, thus generating insight into one’s internal models. A mechanism that is central herein is self-inquiry, that is, “the process of investigating the dynamics and nature of conscious experience” [(), p. 519], often involving both the identification and the questioning of one’s assumptions. Neither attention monitoring, acceptance, nor the techniques of the Affect module translate to the deconstructive family. Specific techniques of the ReSource Perspective module (e.g., training to view events from different internal aspects of the self in the context of the Perspective dyad) could be categorized here. This conceptual model by Dahl and colleagues provides a uniquely non-reductionist concept of mindfulness- and meditation-based mechanisms.
3.4 Health-related and mediating mental processes targeted by MBIs
In a less formalized framework, a considerable body of empirical research has also examined mindfulness states and MBIs regarding their neurobiological correlates (, ) and putative emotional and cognitive training outcomes and mediators (, ). While predominantly correlational, this work has implicated various mental processes as mechanisms of MBI effects, including increased acceptance, emotion regulation, self-compassion, social connectedness, and positive emotions, as well as decreased rumination and negative emotions—processes that may all contribute to MBI health benefits (, , , ). It has been proposed that four key mechanisms drive these cognitive-affective changes: improved a) attention regulation, b) body awareness, c) emotion regulation, and d) self-referential processing (leading to change in perspective on the self) (, , ).
Compared to other accounts, this approach offers a somewhat more generalizable model of MBI effects that can be integrated with other psychological health research. Again, the proposed mechanisms broadly map onto MAT and ReSource training: Attention regulation and body awareness are mostly targeted in Monitor (MAT) and Presence (ReSource) training. Emotion regulation specifically via acceptance is most directly trained in Acceptance (MAT) and Affect (ReSouce) [although cognitive emotion regulation is also cultivated in ReSource Perspective training; ()]. Finally, mechanisms for improved self-referential processing are harder to isolate, but most clearly targeted in the combination of Affect and Perspective training (ReSource), and, to a lesser degree, in MAT Accept training, potentially via (self-)acceptance (although this cannot be clearly differentiated).
4 Overview of comparative RCT effects on stress-related markers
Below, we summarize the reviewed evidence separately for each protocol (ReSource versus MAT) and stress state (challenge versus basal). In detail, we examine evidence for the existence of differential training effects on subjective-psychological stress and affect, as well as physiological stress and stress-related health markers for monitoring- versus acceptance-related training in particular, and for the specific predictions of MAT (, ). Following the above-described mapping, we consider the hypothesized effects of monitoring, acceptance and their combination supported in ReSource data if there is matching evidence from Presence training, Affect training, or their combination, (e.g., an effect of combined monitoring and acceptance would be supported by an effect of combined Presence and Affect training in ReSource). Results are summarized in Table 1 and Figure 1.
Table 1
| Challenge states | |||||
|---|---|---|---|---|---|
| RCT | Study | Method | Finding | ||
| Stress marker (direction of change) | Effect of practice type | ||||
| ReSource (N=332) | () | 3–6 months intervention TSST | Subjective-psychological reactivity (STAI) | ↓ | All practice (vs. NT) |
| Cortisol reactivity | ↓ | Aff; Pres+Aff; Pres+Persp (vs. NT; Pres) | |||
| () | 3–9 months intervention Daily life sampling | Cortisol awakening response | ↓ | Aff; Pres+Aff (vs. NT; Pres; Pres+Persp) | |
| ↑ | Pres (vs. NT) | ||||
| Dismantling Trial 2 (N=153) | () | 2-week intervention TSST-like | Cortisol reactivity | ↓ | Mon+Acc (vs. AC; Mon) |
| Blood pressure reactivity | ↓ | ||||
| Basal states | |||||
|---|---|---|---|---|---|
| ReSource (N=332) | () | 3–9 months intervention MRI, daily life sampling | Hippocampal volume * total daily cortisol output | ↑*↓ | Aff (vs. all other practice) |
| () | 3–9 months intervention Hair sampling, self-report questionnaires | Hair cortisol and cortisone | ↓ | All practice with time (vs. NT) | |
| Subjective-psychological stress (PSS) | ↓ | Persp (vs. NT; Pres+Aff) | |||
| () | 3–9 months intervention Blood sampling | Brain-derived neurotrophic factor * hair cortisol | ↑*↓ | All practice with time (no NT included) | |
| Brain-derived neurotrophic factor * hippocampal volume | ↑*↑ | ||||
| () | 3–9 months intervention Blood sampling | Interleukin-6 | ↓ | Pres (vs. NT; Aff) | |
| C-reactive protein (men) | ↓ | Pres (vs. NT; Aff; Persp) | |||
| Dismantling Trial 1 (N=137) | () | 8 weeks intervention Daily life sampling | Subjective-psychological stress (Likert scale from 1-7) | ↓ | Mon+Acc (vs. NT; Mon) |
| Subjective-psychological stress (Likert scale from 1-7) | ↓ | All practice and NT | |||
| () | 8 weeks intervention Daily life sampling | Positive affect (Likert scale from 1-7) | ↑ | Mon+Acc (vs. NT; Mon) | |
| Negative affect (Likert scale from 1-7) | ↓ | All practice (vs. NT) | |||
| Dismantling Trial 2 (N=153) | 2 weeks intervention Daily life sampling | Positive affect (Likert scale from 1-7) | ↑ | Mon+Acc (vs. AC; Mon) | |
| Negative affect (Likert scale from 1-7) | ↓ | All practice and AC | |||
Summary of positive results stemming from randomized controlled studies comparing different mechanisms of mindfulness-based interventions.
AC, active control; Acc, Acceptance; Aff, Affect; Mon, Monitor; MRI, Magnetic Resonance Imaging; NT, no training; Persp, Perspective; Pres, Presence; PSS, Perceived Stress Scale (); STAI, State Trait Anxiety Inventory (); RCT, randomized controlled trial; TSST, Trier Social Stress Test.
Blue: Differential training effects confirming MAT (e.g., Monitor alone does not reduce or else increases stress; Monitor + Acceptance reduces stress more than Monitor alone) or going beyond MAT (Acceptance/Affect alone reduces stress more than Monitor alone).
Yellow: No differential training effects contradicting MAT; Differential training effects contradicting MAT (e.g., Monitor/Presence alone reduces stress).
↑, increased after training; ↓, decreased after training.
Figure 1
4.1 Challenge states
Most prominently, states of acute challenge to the stress system are measured in the context of standardized laboratory paradigms such as the Trier Social Stress Test [TSST; (
4.1.1 ReSource
ReSource participants attended a TSST after training either the Presence, Affect, the socio-cognitive Perspective module, or their combinations [details see (
In another study with mostly the same pool of participants, we found a specific effect of Affect training on the CAR (
Evidence from these two studies confirms the presence of differential effects of monitoring and acceptance-related, as well as socio-cognitive practice on cortisol release. They further align with MAT’s specific notion that monitoring (Presence) practice alone is insufficient to reduce, or may even increase, stress reactivity (
4.1.2 MAT
In a 2-week smartphone-based dismantling RCT in stressed community adults, the MAT authors compared the effects of standard monitoring and acceptance training with a structurally matched training focusing only on monitoring (
4.2 Basal (longer-term) stress
Just as for challenge states, there are different approaches to probe the medium to long-term stress load and stress-associated health. For HPA axis-based measures, most frequently, the diurnal cortisol profile is assessed. While the CAR is a dynamic facet distinct from the cortisol circadian rhythm (
4.2.1 ReSource
Examining diurnal cortisol, neither total diurnal cortisol output nor the cortisol slope showed average change following ReSource mental trainings (
Irrespective of training type (Presence, Affect or Perspective), hair cortisol and cortisone concentration decreased consistently over the first 3 to 6 months of training. There was no further reduction at the final 9-month mark. These training effects on hair glucocorticoids increased with practice frequency (
Because the immune system is implicated in numerous mental and physiological conditions including depression, cardiometabolic disease, and cancer (94, 95), MBI effects on inflammatory biomarkers are of particular interest as downstream consequences of training-induced stress reduction. The most commonly assayed biomarkers of inflammation include the pro-inflammatory cytokine interleukin-6 (IL-6), and the surrogate marker of low-grade inflammation high sensitive C-reactive protein (hs-CRP). In ReSource participants, we found no average training effect on either marker. However, examining individual differences, participants with higher inflammatory load at study baseline showed stronger reduction of IL-6, and of hs-CRP if they were male, following the Presence module (
BDNF has been identified as a key mediator in the etiology of stress-related disorders, and greater BDNF levels may be a protective factor (96, 97). Mental training that works towards stress reduction should hence increase BDNF levels. In one study, ReSource participants generally showed continuous increases in BDNF levels after 3, 6, and 9 months of training, irrespective of training type, and this effect was partially mediated by training-induced physiological stress reduction, measured via hair cortisol accumulation. Individual BDNF increases after 9-month training were further linked to simultaneous increases in hippocampal (i.e., dentate gyrus) volume (
In sum, findings in basal stress states are somewhat more mixed than for challenge states. Two studies suggest non-differentiable practice effects of all training types, including monitoring and acceptance, in decreasing hair cortisol/cortisone (
4.2.2 MAT
One dismantling RCT tested MAT in a daily life ecological momentary assessment approach targeting subjective-psychological stress levels and positive/negative affect. After an 8-week group-based intervention, the authors found reduced stress (
5 Summary and insights on mindfulness mechanisms of action
Although mindfulness-based interventions (MBIs) have frequently been shown to reduce psychological (dis)tress and improve wellbeing [e.g., (
It emerges that the specific combination of monitoring and acceptance is necessary for physiological stress reduction in states of acute challenge. However, basal or more chronic physiological stress and health states benefit also from training monitoring alone. Across both states, markers of subjective-psychological stress and affect do not necessarily follow the same pattern as physiological ones, and do not follow the specific predictions of MAT. After challenge, subjective-psychological stress shows reductions irrespective of training type, and in the basal state, it follows a mixed pattern of either non-specific training effects or reductions only after combined training of monitoring and acceptance (see Figure 1 for a graphical summary of the review results and interpretation). Evidence that training monitoring alone can have detrimental effects is limited.
Below, we discuss these findings in detail, their broader conceptual implications, and application for future training designs.
5.1 Evaluating MBI mechanisms of action
5.1.1 MBI RCT effects on stress
First, the reviewed studies repeatedly provide evidence for reduction of both subjective-psychological and physiological stress after MBIs involving monitoring and/or acceptance (although see Supplementary Table S1 for negative findings). Previous broader systematic reviews revealed mindfulness training effects mostly compared to passive control groups (
5.1.2 Monitoring and acceptance: causal evidence
Physiological data
Examining physiological stress markers, we find strong evidence for differential effects of training monitoring and acceptance in challenge states, but not in basal states. It appears that if the stress system is acutely activated, for example by a laboratory stressor, to ultimately facilitate physiological stress reduction, monitoring needs to be paired with an ability for acceptance. Also in line with Lindsay and Creswell (
Typically, it is the prolonged or chronic basal stress that has the most dire health implications (
A possible explanation for the difference between monitoring effects in challenge versus basal states is that basal stress presumably accumulates largely from low-level stressors in daily life, for which monitoring may play a fundamentally different role than for a strong TSST-like stressor. And while acute reactivity provides a window into an individual’s overall stress load, physiological indices of acute reactivity and longer-term stress regulation are often unrelated (101), suggesting that these states may also be influenced by distinct psychosocial processes. Specifically, emotion regulation via acceptance is one of the key stress coping tools available in the constrained settings in which challenge states are typically assessed (standardized and rigid laboratory tests or automatic physiological responses as in the case of the CAR). In daily life, however, numerous alternative coping strategies may be used. For example, if monitoring training leads to a more accurate perception of daily affective states, this may trigger social support seeking or the constructive avoidance of perceived stressors.
Regarding the difference between MAT and ReSource findings on monitoring in basal states, one explanation is that the 2–8 week Monitor Only training in MAT trials was significantly shorter than 3-month monitoring (Presence) training in ReSource, possibly leading to weaker effects. For example, the above suggested mechanism from an initially improved awareness of daily strains towards adaptive behavioral coping may require several weeks to unfold. Alternatively, Lindsay and Creswell also discuss how sufficiently long, structured monitoring training by itself could begin to engender an implicit non-judgemental quality (
Across both challenge and basal states, we also find evidence that training acceptance without monitoring reduces stress. While the MAT authors suggest that acceptance should, in theory, need to be combined with monitoring to be effective (
Further subdividing physiological outcomes, it is also notable that we find substantial evidence for changed HPA-axis, but very limited for changed SAM activity. However, only two of the examined studies actually assessed sympathetic markers (
Subjective-psychological data
Training effects on subjective-psychological stress in acute challenge states were reported only in ReSource studies and showed no specificity to type of training, that is, all equally reduced stress. There are several potential reasons for this discrepancy to physiological markers. Subjective-psychological training effects may precede physiological ones. Alternatively, they may be driven by known biases in self-reports (103), particularly participants’ expectations in positive training outcomes (104). Irrespective of its origin, the detected lack of covariance between the subjective-psychological and physiological levels of acute stress responding is a well-known issue in stress research (
Training effects on subjective-psychological stress perceptions and affect in basal states were reported only in MAT dismantling trials. The observed pattern of results clearly shows that as for the physiological data, MAT predictions are not reliably fulfilled in the basal state also on the subjective-psychological response level.
5.2 Common training mechanisms
While the present review focuses on differential effects of specific MBI training components, it is important to note that non-specific aspects of MBIs, such as social interaction, group dynamics, participant expectations and instructor support, can also significantly contribute to MBI effects on stress related health outcomes. Practice intensity [e.g., hours of class practice; (
5.3 Recommendations for future interventions
Mechanistic understanding of MBI effects is an important step towards personalizing intervention programs to different populations, contexts and needs. For the design of future MBIs and based on the insights of this review, it may be effective to customize intervention protocols to individual stress-regulation goals. For example, individuals facing acute psychosocial challenges in their profession may benefit most from training acceptance alone or in combination with monitoring. For dealing with more continuous low-level stressors of daily life, training monitoring may be an equally good fit. Given that monitoring and acceptance appear to have positive yet distinct effects, and their combined training often produces the strongest effects especially on psychological stress and affect, combined training of monitoring and acceptance is nonetheless recommendable. To achieve longer term physiological stress reduction and improve downstream stress-related health, particular attention should be paid to training routines that can be maintained for at least several weeks to months.
The effectiveness of MBIs and their specific components may also differ based on practitioners’ characteristics and between populations (108). For example, higher neuroticism prior to training has been associated with greater improvement in psychological distress post training (109). Similarly, training acceptance may be a particularly effective strategy to improve suboptimal emotion regulation skills in practitioners with higher levels of neuroticism (110). Nonetheless, current evidence for individual-difference moderators of MBI effectiveness remains limited (
Studies aiming to further advance mechanistic understanding should also assess the physiological pathways through which MBIs affect stress-related health in more detail. For example, increased activity in stress regulatory brain regions such as the prefrontal cortex, and decreased activity in stress reactive regions such as the amygdala have been proposed as the two central pathways of MBI physical health outcomes (
5.4 Limitations
The conclusions that can be drawn from this selective review are subject to several limitations. While the ReSource modules Presence and Affect map well onto MAT, their training involves several components that go beyond monitoring and acceptance training. It therefore cannot be precluded that stress reduction after Affect, for example, was driven by increased positive affect or compassion, rather than acceptance (alone). Relatedly, evaluating Resource only regarding monitoring and acceptance components does not do justice to the full complexity the training.
Moreover, the three comparative RCTs examined here focused on healthy adults. As such, they primarily give insights to stress-related health mechanisms in healthy populations and for the purpose of disorder prevention. Future research may investigate whether the same mechanistic distinctions hold in clinical and at-risk samples.
The present work presents an important first step towards conceptually validating and extending MAT’s predictions with evidence from an independent investigation, the lack of which has previously been criticized (102). Nevertheless, more data from additional comparative trials is needed to corroborate the identified pattern.
6 Conclusion
A mechanistic understanding of the effects of mindfulness-based interventions is crucial for advancing the field of contemplative science. This review of mindfulness-based comparative RCTs suggests that successful reduction of the psycho-physiological stress load depends on both the type of intervention, specifically the training of monitoring versus acceptance, and the type of outcome, specifically psychological and physiological markers of challenge versus basal stress states. Overall, the reviewed studies corroborate and extend predictions of the Monitor and Acceptance Theory with evidence from the independent ReSource Project. In particular, it emerges that training acceptance alone, and monitoring alone in basal states, can already reduce physiological stress activity. Future studies may further investigate the unique benefits of acceptance, compared to contexts where successful monitoring is a prerequisite for stress regulation.
Statements
Author contributions
LP: Conceptualization, Investigation, Writing – original draft, Writing – review & editing, Visualization. VE: Conceptualization, Investigation, Visualization, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. The work of LP was supported by the Technische Universität Dresden (Maria Reiche Postdoctoral Fellowship) and the Wissenschaftskolleg zu Berlin (College for Life Sciences Fellowship).
Acknowledgments
This review builds on insights and evidence from effortful longitudinal training interventions. We are grateful to all those engaged in realizing such challenging projects. In particular, we are thankful to all researchers and staff involved in the ReSource Project, of which we were a part for many years, and Tania Singer, who conceptualized and headed the project.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2025.1415081/full#supplementary-material
Footnotes
1.^Given that overload with psychosocial stressors is the predominant cause of chronic stress in modern societies (
References
1
ChrousosGP. Stress and disorders of the stress system. Nat Rev Endocrinol. (2009) 5:374–81. doi: 10.1038/nrendo.2009.106
2
GarfinDRThompsonRRHolmanEA. Acute stress and subsequent health outcomes: A systematic review. J Psychosom Res. (2018) 112:107–13. doi: 10.1016/j.jpsychores.2018.05.017
3
VosTBarberRMBellBBertozzi-VillaABiryukovSBolligerIet al. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. (2015) 386:743–800. doi: 10.1016/S0140-6736(15)60692-4
4
JormAFPattenSBBrughaTSMojtabaiR. Has increased provision of treatment reduced the prevalence of common mental disorders? Review of the evidence from four countries. World Psychiatry. (2017) 16:90–9. doi: 10.1002/wps.20388
5
BurkeALamCNStussmanBYangH. Prevalence and patterns of use of mantra, mindfulness and spiritual meditation among adults in the United States. BMC Complement Altern Med. (2017) 171–18. doi: 10.1186/s12906-017-1827-8
6
BaminiwattaASolangaarachchiI. Trends and developments in mindfulness research over 55 years: A bibliometric analysis of publications indexed in web of science. Mindfulness. (2021) 12:2099–116. doi: 10.1007/s12671-021-01681-x
7
ChiesaA. The difficulty of defining mindfulness: current thought and critical issues. Mindfulness. (2013) 4:255–268). doi: 10.1007/s12671-012-0123-4
8
Kabat-ZinnJ. Wherever you go, there you are: Mindfulness meditation in every-day life. New York: Hyperion (1994).
9
BishopSRLauMShapiroSCarlsonLAndersonNDCarmodyJet al. Mindfulness: A proposed operational definition. Clin Psychol: Sci Pract. (2004) 11:230–41. doi: 10.1093/clipsy/bph077
10
CraneRSBrewerJFeldmanCKabat-ZinnJSantorelliSWilliamsJMGet al. What defines mindfulness-based programs? the warp and the weft. psychol Med. (2017) 47:990–999). doi: 10.1017/S0033291716003317
11
de VibeMBjørndalAFattahSDyrdalGMHallandETanner-SmithEE. Mindfulness-based stress reduction (MBSR) for improving health, quality of life and social functioning in adults: a systematic review and meta-analysis. Campbell Syst Rev. (2017) 13:1–264. doi: 10.4073/csr.2017.11
12
GoldbergSBRiordanKMSunSDavidsonRJ. The empirical status of mindfulness-based interventions: A systematic review of 44 meta-analyses of randomized controlled trials. Perspect psychol Sci. (2022) 17:108–30. doi: 10.1177/1745691620968771
13
GalanteJFriedrichCDawsonAFModrego-AlarcónMGebbingPDelgado-SuárezIet al. Mindfulness-based programmes for mental health promotion in adults in nonclinical settings: A systematic review and meta-analysis of randomised controlled trials. PloS Med. (2021) 18(1):e1003481. doi: 10.1371/journal.pmed.1003481
14
KhouryBSharmaMRushSEFournierC. Mindfulness-based stress reduction for healthy individuals: A meta-analysis. J Psychosom Res. (2015) 78:519–28. doi: 10.1016/j.jpsychores.2015.03.009
15
BohlmeijerEPrengerRTaalECuijpersP. The effects of mindfulness-based stress reduction therapy on mental health of adults with a chronic medical disease: A meta-analysis. J Psychosom Res. (2010) 68:539–44. doi: 10.1016/j.jpsychores.2009.10.005
16
KonczADemetrovicsZTakacsZK. Meditation interventions efficiently reduce cortisol levels of at-risk samples: a meta-analysis. Health Psychol Rev. (2021) 15:56–84. doi: 10.1080/17437199.2020.1760727
17
GalanteJFriedrichCAeamla-OrNArts-de JongMBarrettBBögelsSMet al. Systematic review and individual participant data meta-analysis of randomized controlled trials assessing mindfulness-based programs for mental health promotion. Nat Ment Health. (2023) 1:462–76. doi: 10.1038/s44220-023-00081-5
18
LomasTMedinaJCIvtzanIRupprechtSEiroa-OrosaFJ. A systematic review and meta-analysis of the impact of mindfulness-based interventions on the well-being of healthcare professionals. Mindfulness. (2019) 10:1193–1216). doi: 10.1007/s12671-018-1062-5
19
CampbellJEhlertU. Acute psychosocial stress: Does the emotional stress response correspond with physiological responses? Psychoneuroendocrinology. (2012) 37:1111–34. doi: 10.1016/j.psyneuen.2011.12.010
20
PlanertJKluckenTFinkeJBPaulusPCFischerJEGaoWet al. Associations between hair cortisol and subjective stress measures in a large occupational sample. Psychoneuroendocrinology. (2023) 152:106086. doi: 10.1016/j.psyneuen.2023.106086
21
McEwenBS. Protective and damaging effects of stress mediators. New Engl J Med. (1998) 338:171–9. doi: 10.1056/NEJM199801153380307
22
McEwenBS. Allostasis and allostatic load: Implications for neuropsychopharmacology. Sci Ment Health: Stress Brain. (2000) 9:2–18. doi: 10.1016/S0893-133X(99)00129-3
23
SapolskyRM. Stress and the brain: Individual variability and the inverted-U. Nat Neurosci. (2015) 18:1344–6. doi: 10.1038/nn.4109
24
DegeringMLinzRPuhlmannLMCSingerTEngertV. Revisiting the stress recovery hypothesis: Differential associations of cortisol stress reactivity and recovery after acute psychosocial stress with markers of long-term stress and health. Brain Behav Immun - Health. (2023) 28:100598. doi: 10.1016/j.bbih.2023.100598
25
BurkeHMDavisMCOtteCMohrDC. Depression and cortisol responses to psychological stress: A meta-analysis. Psychoneuroendocrinology. (2005) 30:846–56. doi: 10.1016/j.psyneuen.2005.02.010
26
EngertVKokBEPapassotiriouIChrousosGPSingerT. Specific reduction in cortisol stress reactivity after social but not attention-based mental training. Sci Adv. (2017) 3:1–13. doi: 10.1126/sciadv.1700495
27
PascoeMCThompsonDRSkiCF. Yoga, mindfulness-based stress reduction and stress-related physiological measures: A meta-analysis. Psychoneuroendocrinology. (2017) 86:152–68. doi: 10.1016/j.psyneuen.2017.08.008
28
PuhlmannLMCVrtičkaPLinzRStalderTKirschbaumCEngertVet al. Contemplative mental training reduces hair glucocorticoid levels in a randomized clinical trial. Psychosom Med. (2021) 83:894–905. doi: 10.1097/PSY.0000000000000970
29
SanadaKMontero-MarinJDíezMASalas-ValeroMPérez-YusMCMorilloHet al. Effects of mindfulness-based interventions on salivary cortisol in healthy adults: A meta-analytical review. Front Physiol. (2016) 7:471. doi: 10.3389/fphys.2016.00471
30
CreswellJDLindsayEKVillalbaDKChinB. Mindfulness training and physical health: mechanisms and outcomes. Psychosom Med. (2019) 81:224–32. doi: 10.1097/PSY.0000000000000675
31
CreswellJDLindsayEK. How does mindfulness training affect health? A mindfulness stress buffering account. Curr Dir psychol Sci. (2014) 23:401–7. doi: 10.1177/0963721414547415
32
GoldbergSBTuckerRPGreenePASimpsonTLKearneyDJDavidsonRJ. Is mindfulness research methodology improving over time? A systematic review. PloS One. (2017) 12(10):e0187298. doi: 10.1371/journal.pone.0187298
33
Van DamNTvan VugtMKVagoDRSchmalzlLSaronCDOlendzkiAet al. Mind the hype: A critical evaluation and prescriptive agenda for research on mindfulness and meditation. Perspect psychol Sci. (2018) 13:36–61. doi: 10.1177/1745691617709589
34
HölzelBKLazarSWGardTSchuman-OlivierZVagoDROttU. How does mindfulness meditation work? Proposing mechanisms of action from a conceptual and neural perspective. Perspect psychol Sci. (2011) 6:537–59. doi: 10.1177/1745691611419671
35
GuJStraussCBondRCavanaghK. How do mindfulness-based cognitive therapy and mindfulness-based stress reduction improve mental health and wellbeing? A systematic review and meta-analysis of mediation studies. Clin Psychol Rev. (2015) 37:1–12). doi: 10.1016/j.cpr.2015.01.006
36
CarmodyJBaerRALykinsELBOlendzkiN. An empirical study of the mechanisms of mindfulness in a mindfulness-based stress reduction program. J Clin Psychol. (2009) 65:613–26. doi: 10.1002/jclp.20579
37
SingerTKokBEBornemannBZurborgSBolzMBochowCA. The ReSource Project. Background, Design, Samples, and Measurements. 2nd ed. Leipzig, Germany: Max Planck Institute for Human Cognitive and Brain Sciences (2016).
38
LindsayEKCreswellJD. Mechanisms of mindfulness training: Monitor and Acceptance Theory (MAT). Clin Psychol Rev. (2017) 51:48–59). doi: 10.1016/j.cpr.2016.10.011
39
LindsayEKCreswellJD. Mindfulness, acceptance, and emotion regulation: perspectives from Monitor and Acceptance Theory (MAT). Curr Opin Psychol. (2019) 28:120–125). doi: 10.1016/j.copsyc.2018.12.004
40
SingerTEngertV. It matters what you practice: differential training effects on subjective experience, behavior, brain and body in the ReSource Project. Curr Opin Psychol. (2019) 28:151–8. doi: 10.1016/j.copsyc.2018.12.005
41
EngertVKokBEPuhlmannLMCStalderTKirschbaumCApostolakouFet al. Exploring the multidimensional complex systems structure of the stress response and its relation to health and sleep outcomes. Brain Behav Immun. (2018) 73:390–402. doi: 10.1016/j.bbi.2018.05.023
42
Kabat-ZinnJ. Mindfulness-based interventions in context: Past, present, and future. Clin Psychol: Sci Pract. (2003) 10:144–56. doi: 10.1093/clipsy/bpg016
43
GilbertP. Introducing compassion-focused therapy. Adv Psychiatr Treat. (2009) 15:199–208. doi: 10.1192/apt.bp.107.005264
44
BlackDSSlavichGM. Mindfulness meditation and the immune system: a systematic review of randomized controlled trials. Ann New York Acad Sci. (2016) 1373:13–24. doi: 10.1111/nyas.12998
45
ManigaultAWWoodyAZoccolaPMDickersonSS. Trait mindfulness predicts the presence but not the magnitude of cortisol responses to acute stress. Psychoneuroendocrinology. (2018) 90:29–34. doi: 10.1016/j.psyneuen.2018.01.022
46
ManigaultAWPetersBJZoccolaPM. When enhanced awareness threatens: Interactive effects of domain-specific awareness and acceptance manipulations on cardiovascular indices of challenge and threat. Psychophysiology. (2021) 58. doi: 10.1111/psyp.13697
47
GoldbergSBFlookLHirshbergMJDavidsonRJSchaeferSM. Brief breath awareness training yields poorer working memory performance in the context of acute stress. Cogn Emotion. (2021) 35:1009–17. doi: 10.1080/02699931.2021.1878113
48
ManigaultAWFigueroaWSHollenbeckCRMendleinAEWoodyASinegarSEet al. A test of the association between mindfulness subcomponents and diurnal cortisol patterns. Mindfulness. (2018) 9:897–904. doi: 10.1007/s12671-017-0829-4
49
EngertVHoehneKSingerT. Specific reduction in the cortisol awakening response after socio-affective mental training. Mindfulness. (2023) 14 (3), 681–94. doi: 10.1007/s12671-023-02074-y
50
AdamEKHawkleyLCKudielkaBMCacioppoJT. Day-to-day dynamics of experience-cortisol associations in a population-based sample of older adults. (2006) 103(45):17058–63. doi: 10.1073/pnas.0605053103.
51
FriesEDettenbornLKirschbaumC. The cortisol awakening response (CAR): Facts and future directions. Int J Psychophysiol. (2009) 72:67–73. doi: 10.1016/j.ijpsycho.2008.03.014
52
ChidaYSteptoeA. Cortisol awakening response and psychosocial factors: A systematic review and meta-analysis. Biol Psychol. (2009) 80:265–278). doi: 10.1016/j.biopsycho.2008.10.004
53
BoggeroIAHostinarCEHaakEAMurphyMLMSegerstromSC. Psychosocial functioning and the cortisol awakening response: Meta-analysis, P-curve analysis, and evaluation of the evidential value in existing studies. Biol Psychol. (2017) 129:207–230). doi: 10.1016/j.biopsycho.2017.08.058
54
RauschJFlachEPanizzaABrunnerRHerpertzSCKaessMet al. Associations between age and cortisol awakening response in patients with borderline personality disorder. J Neural Transm. (2021) 128:1425–32. doi: 10.1007/s00702-021-02402-3
55
BravoAJBootheLGPearsonMR. Getting personal with mindfulness: a latent profile analysis of mindfulness and psychological outcomes. Mindfulness. (2016) 7:420–32. doi: 10.1007/s12671-015-0459-7
56
LamKFYLimHAKuaEHGrivaKMahendranR. Mindfulness and cancer patients’ emotional states: a latent profile analysis among newly diagnosed cancer patients. Mindfulness. (2018) 9:521–33. doi: 10.1007/s12671-017-0794-y
57
LauWKWLeungMKWingYKLeeTMC. Potential mechanisms of mindfulness in improving sleep and distress. Mindfulness. (2018) 9:547–55. doi: 10.1007/s12671-017-0796-9
58
SahdraBKCiarrochiJParkerPDBasarkodGBradshawELBaerR. Are people mindful in different ways? Disentangling the quantity and quality of mindfulness in latent profiles and exploring their links to mental health and life effectiveness. Eur J Pers. (2017) 31:347–65. doi: 10.1002/per.2108
59
SaldariniFCropleyM. Chronic stress is associated with reduced mindful acceptance skills but not with mindful attention monitoring: A cross-sectional study. Int J Environ Res Public Health. (2022) 19:11304. doi: 10.3390/ijerph191811304
60
BlankeESRiedigerMBroseA. Pathways to happiness are multidirectional: Associations between state mindfulness and everyday affective experience. Emotion (Washington D.C.). (2018) 18:202–11. doi: 10.1037/emo0000323
61
FelsmanPVerduynPAydukOKrossE. Being present: Focusing on the present predicts improvements in life satisfaction but not happiness. Emotion. (2017) 17:1047–51. doi: 10.1037/emo0000333
62
IaniLLauriolaMCafaroVDidonnaF. Dimensions of mindfulness and their relations with psychological well-being and neuroticism. Mindfulness. (2017) 8:664–76. doi: 10.1007/s12671-016-0645-2
63
LeachSMMitchellAMSalmonPSephtonSE. Mindfulness, self-reported health, and cortisol: A latent profile analysis. J Health Psychol. (2021) 26:2719–29. doi: 10.1177/1359105320931184
64
AdamEKQuinnMETavernierRMcQuillanMTDahlkeKAGilbertKE. Diurnal cortisol slopes and mental and physical health outcomes: A systematic review and meta-analysis. Psychoneuroendocrinology. (2017) 83:25–41. doi: 10.1016/j.psyneuen.2017.05.018
65
DahlCJLutzADavidsonRJ. Reconstructing and deconstructing the self: Cognitive mechanisms in meditation practice. Trends Cogn Sci. (2015) 19:515–23. doi: 10.1016/j.tics.2015.07.001
66
DahlCJLutzADavidsonRJ. Cognitive processes are central in compassion meditation. Trends Cogn Sci. (2016) 20:161–2. doi: 10.1016/j.tics.2015.12.005
67
EngenHGSingerT. Affect and motivation are critical in constructive meditation. Trends Cogn Sci. (2016) 20:159–60. doi: 10.1016/j.tics.2015.11.004
68
NashJDNewbergA. Toward a unifying taxonomy and definition for meditation. Front Psychol. (2013) 4:806. doi: 10.3389/fpsyg.2013.00806
69
BaerRACarmodyJHunsingerM. Weekly change in mindfulness and perceived stress in a mindfulness-based stress reduction program. J Clin Psychol. (2012) 68:755–65. doi: 10.1002/jclp.21865
70
DesbordesGGardTHogeEAHölzelBKKerrCLazarSWet al. Moving beyond mindfulness: defining equanimity as an outcome measure in meditation and contemplative research. Mindfulness. (2015) 6:356–72. doi: 10.1007/s12671-013-0269-8
71
ChinBLindsayEKGrecoCMBrownKWSmythJMWrightAGCet al. Psychological mechanisms driving stress resilience in mindfulness training: A randomized controlled trial. Health Psychol. (2019) 38:759–68. doi: 10.1037/hea0000763
72
LindsayEKChinBGrecoCMYoungSBrownKWWrightAGCet al. How mindfulness training promotes positive emotions: Dismantling acceptance skills training in two randomized controlled trials. J Pers Soc Psychol. (2018) 115:944–73. doi: 10.1037/pspa0000134
73
LindsayEKYoungSSmythJMBrownKWCreswellJD. Acceptance lowers stress reactivity: Dismantling mindfulness training in a randomized controlled trial. Psychoneuroendocrinology. (2018) 87:63–73. doi: 10.1016/j.psyneuen.2017.09.015
74
KokBESingerT. Effects of contemplative dyads on engagement and perceived social connectedness over 9 months of mental training a randomized clinical trial. JAMA Psychiatry. (2017) 74:126–34. doi: 10.1001/jamapsychiatry.2016.3360
75
HildebrandtLKMcCallCSingerT. Socioaffective versus sociocognitive mental trainings differentially affect emotion regulation strategies. Emotion. (2019) 19:1329–42. doi: 10.1037/emo0000518
76
KokBESingerT. Phenomenological fingerprints of four meditations: differential state changes in affect, mind-wandering, meta-cognition, and interoception before and after daily practice across 9 months of training. Mindfulness. (2017) 8:218–31. doi: 10.1007/s12671-016-0633-6
77
FoxKCRNijeboerSDixonMLFlomanJLEllamilMRumakSPet al. Is meditation associated with altered brain structure? A systematic review and meta-analysis of morphometric neuroimaging in meditation practitioners. Neurosci Biobehav Rev. (2014) 43:48–73. doi: 10.1016/j.neubiorev.2014.03.016
78
TangYYHölzelBKPosnerMI. The neuroscience of mindfulness meditation. Nat Rev Neurosci. (2015) 16:213–25. doi: 10.1038/nrn3916
79
ChiesaAAnselmiRSerrettiA. Psychological mechanisms of mindfulness-based interventions: What do we know? Holistic Nurs Pract. (2014) 28:124–48. doi: 10.1097/HNP.0000000000000017
80
LoucksEBSchuman-OlivierZBrittonWBFrescoDMDesbordesGBrewerJAet al. Mindfulness and cardiovascular disease risk: state of the evidence, plausible mechanisms, and theoretical framework. Curr Cardiol Rep. (2015) 17. doi: 10.1007/s11886-015-0668-7
81
ValkSLEngertVPuhlmannLLinzRCaldairouBBernasconiAet al. Hippocampal subfield CA1–3 shows differential structural and functional network plasticity after stress-reducing socio-affective mental training. ELife. (2024) 12:RP87634. doi: 10.7554/eLife.87634.1
82
PuhlmannLMVrtičkaPLinzRValkSLPapassotiriouIChrousosGPet al. Serum Brain-Derived-Neurotrophic Factor increase after 9-month contemplative mental training is associated with decreased cortisol secretion and increased dentate gyrus volume. Biol Psychiatry Global Open Sci. (2024) 100414. doi: 10.1016/j.bpsgos.2024.100414
83
PuhlmannLMCEngertVApostolakouFPapassotiriouIChrousosGPVrtičkaPet al. Only vulnerable adults show change in chronic low-grade inflammation after contemplative mental training: evidence from a randomized clinical trial. Sci Rep. (2019) 9. doi: 10.1038/s41598-019-55250-3
84
CohenSKamarckTMermelsteinR. A global measure of perceived stress. J Health Soc Behav. (1983) 24:385–96. doi: 10.2307/2136404
85
SpielbergerCDGorsuchRLLusheneRVaggPRJacobsGA. Manual for the State-Trait Anxiety Inventory (STAI). CA: Consulting Psychologists Press (Palo Alto) (1983).
86
KirschbaumCPirkeK-MHellhammerDH. The “Trier social stress test” - A tool for investigating psychobiological stress responses in a laboratory setting. Neuropsychobiology. (1993) 28:76–81. doi: 10.1159/000119004
87
WilhelmIBornJKudielkaBMSchlotzWWüstS. Is the cortisol awakening rise a response to awakening? Psychoneuroendocrinology. (2007) 32:358–66. doi: 10.1016/j.psyneuen.2007.01.008
88
LawRHucklebridgeFThornLEvansPClowA. State variation in the cortisol awakening response. Stress. (2013) 16:483–92. doi: 10.3109/10253890.2013.817552
89
RossKMMurphyMLMAdamEKChenEMillerGE. How stable are diurnal cortisol activity indices in healthy individuals? Evidence from three multi-wave studies. Psychoneuroendocrinology. (2014) 39:184–93. doi: 10.1016/j.psyneuen.2013.09.016
90
StalderTSteudte-SchmiedgenSAlexanderNKluckenTVaterAWichmannSet al. Stress-related and basic determinants of hair cortisol in humans: A meta-analysis. Psychoneuroendocrinology. (2017) 77:261–74. doi: 10.1016/j.psyneuen.2016.12.017
91
HermanJPCullinanWEHermanJPCullinanWE. Neurocircuitry of stress: central control of the hypothalamo-pituitary-adrenocortical axis. Trends Neurosci. (1997) 20. doi: 10.1016/S0166-2236(96)10069-2
92
JacobsonLSapolskyR. The role of the hippocampus in feedback regulation of the hypothalamic-pituitary-adrenocortical axis. Endocrine Rev. (1991) 12:118–34. doi: 10.1210/edrv-12-2-118
93
SchulzPSchlotzW. Trierer Inventar zur Erfassung von Chronischem Stress (TICS): Skalenkonstruktion, teststatistische Überprüfung und Validierung der Skala Arbeitsüberlastung. Diagnostica. (1999) 45:8–19.
94
AggarwalBBShishodiaSSandurSKPandeyMKSethiG. Inflammation and cancer: How hot is the link? Biochem Pharmacol. (2006) 72:1605–21. doi: 10.1016/j.bcp.2006.06.029
95
SlavichGMIrwinMR. From stress to inflammation and major depressive disorder: A social signal transduction theory of depression. psychol Bull. (2014) 140:774–815. doi: 10.1037/a0035302
96
EricksonKIMillerDLRoeckleinKA. The aging hippocampus: Interactions between exercise, depression, and BDNF. Neuroscientist. (2012) 18:82–97. doi: 10.1177/1073858410397054
97
MartinowichKManjiHLuB. New insights into BDNF function in depression and anxiety. Nat Neurosci. (2007) 10:1089–93. doi: 10.1038/nn1971
98
GoyalMSinghSSibingaEMSGouldNFRowland-SeymourASharmaRet al. Meditation programs for psychological stress and well-being: A systematic review and meta-analysis. JAMA Internal Med. (2014) 174:357–68. doi: 10.1001/jamainternmed.2013.13018
99
BrittonWB. Can mindfulness be too much of a good thing? The value of a middle way. Curr Opin Psychol. (2019) 28:159–165). doi: 10.1016/j.copsyc.2018.12.011
100
ContrerasCMGutiérrez-GarciaAG. Cortisol awakening response: an ancient adaptive feature. J Psychiatry Psychiatr Disord. (2018) 2(1):29–40. doi: 10.26502/jppd.2572-519X0038
101
Wesarg-MenzelCMarheineckeRStaaksJEngertV. Associations of diurnal cortisol parameters with cortisol stress reactivity and recovery: A systematic review and meta-analysis. Psychoneuroendocrinology. (2024) 163. doi: 10.1016/j.psyneuen.2024.106976
102
SimioneLSaldariniF. A critical review of the monitor and acceptance theory of mindfulness. Mindfulness. (2023) 14:1317–1328). doi: 10.1007/s12671-023-02129-0
103
PaulhusDLVazireS. The self-report method. In: RobinsRWFraleyRCKruegerRF. Handbook of Research Methods in Personality Psychology (New York, NY: The Guilford Press), 1st ed (2007). p. 224–239).
104
PodsakoffPMMacKenzieSBPodsakoffNP. Sources of method bias in social science research and recommendations on how to control it. Annu Rev Psychol. (2012) 63:539–569). doi: 10.1146/annurev-psych-120710-100452
105
SchlotzWKumstaRLayesIEntringerSJonesAWüstS. Covariance between psychological and endocrine responses to pharmacological challenge and psychosocial stress: A question of timing. Psychosom Med. (2008) 70:787–96. doi: 10.1097/PSY.0b013e3181810658
106
BornemannBSingerT. Taking time to feel our body: Steady increases in heartbeat perception accuracy and decreases in alexithymia over 9 months of contemplative mental training. Psychophysiology. (2017) 54:469–82. doi: 10.1111/psyp.12790
107
GoldbergSB. A common factors perspective on mindfulness-based interventions. Nat Rev Psychol. (2022) 1:605–19. doi: 10.1038/s44159-022-00090-8
108
ZhangDLeeEKMakECHoCYWongSY. Mindfulness-based interventions: an overall review. British Medical Bulletin. (2021) 138(1):41–57.
109
de VibeMSolhaugITyssenRFriborgORosenvingeJHSørlieTet al. Does personality moderate the effects of mindfulness training for medical and psychology students? Mindfulness. (2015) 6:281–9. doi: 10.1007/s12671-013-0258-y
110
TangRBraverTS. Towards an individual differences perspective in mindfulness training research: Theoretical and empirical considerations. Frontiers in Psychology. (2020) 11:818.
111
SommetNWeissmanDLCheutinNElliotAJ. How many participants do I need to test an interaction? Conducting an appropriate power analysis and achieving sufficient power to detect an interaction. Adv Methods Pract psychol Sci. (2023) 6. doi: 10.1177/25152459231178728
112
CopelandWEHalvorson-PhelanJMcGinnisEShanahanL. Adult mental health, substance use disorders, and functional outcomes of children resilient to early adversity. Am J Psychiatry. (2023) 180:906–13. doi: 10.1176/appi.ajp.20230038
113
WangBZhaoCWangZYangKAChengXLiuWet al. Wearable aptamer-field-effect transistor sensing system for noninvasive cortisol monitoring. Sci Adv. (2022) 8:eabk0967. doi: 10.1126/sciadv.abk0967
114
Nahum-ShaniISmithSNSpringBJCollinsLMWitkiewitzKTewariAet al. Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Ann Behav Med. (2018) 52(6):446–62. doi: 10.1007/s12160-016-9830-8
Summary
Keywords
stress-related health, cortisol, sympathetic-adrenomedullary system (SAM), mindfulness, monitoring, acceptance, randomized controlled trials, training-specific effects
Citation
Puhlmann LMC and Engert V (2025) How mindfulness-based training improves stress-related health: a selective review of randomized clinical trials comparing psychological mechanisms of action. Front. Endocrinol. 16:1415081. doi: 10.3389/fendo.2025.1415081
Received
09 April 2024
Accepted
18 June 2025
Published
04 August 2025
Volume
16 - 2025
Edited by
Carolyn Ee, Western Sydney University, Australia
Reviewed by
Marie-Pierre Moisan, INRAE Nouvelle-Aquitaine Bordeaux, France
Dhiraj Kumar, National Eye Institute (NIH), United States
Updates

Check for updates
Copyright
© 2025 Puhlmann and Engert.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Lara M. C. Puhlmann, lara.puhlmann@lir-mainz.de; Veronika Engert, veronika.engert@med.uni-jena.de
†ORCID: Lara M. C. Puhlmann, orcid.org/0000-0002-0870-8770; Veronica Engert, orcid.org/0000-0001-5317-933X
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.