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Open Access 18-03-2025 | REVIEW

A Scoping Review of the Use of Mindfulness-Based Interventions to Improve Preschoolers’ Executive Function

Auteurs: Z. Reagan Pearce, Biju Rajbhandari, Alicia C. Stapp, Kenya E. Wolff, Stephanie E. Miller

Gepubliceerd in: Mindfulness | Uitgave 4/2025

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Abstract

Objectives

Although mindfulness practices as a tool for improving executive function (EF) have been found in adolescents and adults, results have not been systematically examined in preschoolers despite significant plasticity and potential for intervention. The purpose of this scoping review was to evaluate the current breadth of research and potential gaps in knowledge for work examining the efficacy of mindfulness interventions on preschoolers’ EF.

Method

Randomized controlled trials that implemented a mindfulness intervention within preschools (primarily 3.00 to 5.00 years of age, n = 17 studies) were included in this scoping review.

Results

The findings of the descriptive results provide mixed evidence as to whether mindfulness interventions improve EF during preschool.

Conclusions

Additional research evaluating the differences in mindfulness interventions, examination of multiple EF outcome measures, and grounding interventions within a theoretical framework may be promising avenues for explaining the ambiguity in existing literature evaluating the role of mindfulness on preschoolers’ EF.

Preregistration

This study is not preregistered.
Opmerkingen

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Executive function (EF) refers to the cognitive processes responsible for governing conscious thought and behavior in service of a goal (Friedman & Miyake, 2017; Zelazo, 2015). Given the importance of EF to a host of abilities ranging from school readiness to social competence (Caporaso et al., 2019; Distefano et al., 2021; Willoughby et al., 2017), research in cognitive science has concentrated on potential interventions for improving EF (for a review, see Diamond & Ling, 2019). Although promising results focusing on the efficacy of mindfulness practices as a method for improving EF have been found in adolescents and adults, results with young children are equivocal (Mak et al., 2018) and have yet to be systematically examined in a sample less than 6 years of age. Given the vast improvement and plasticity demonstrated during the preschool years (i.e., from 3.00 to 5.00 years of age; Blair, 2016; Fiske & Holmboe, 2019), more work is needed to examine the effects of potentially impactful mindfulness interventions on EF during early childhood (Carlson, 2005; Zelazo et al., 1996).
EF is often broadly conceptualized as a suite of self-regulatory skills important to the control of behavior, thought, and emotion (e.g., Blair, 2016; Zelazo, 2015). Thus, the function at the center of EF is the higher-order function of problem solving where these self-regulatory skills can be directed toward a goal (i.e., EF as a macroconstruct; Zelazo et al., 1996). However, there are many approaches to the conceptualization and operationalization of EF that likely impact our understanding and interpretation of EF findings. For instance, many studies operationalize EF by attempting to obtain a single measure representative of a cognitive ability that influences performance over a wide range of situations and tasks (i.e., domain-general ability) that typically improves across the lifespan (Wiebe et al., 2011; Zelazo et al., 2018). However, this conceptualization is not without issues, as the common “task impurity” problem notes that a pure measure of EF is unlikely, given tasks often require other abilities (e.g., shape recognition, color knowledge, reading speed) that influence EF scores (Doebel, 2020; Miyake et al., 2000). Thus, researchers have explored a latent factor approach examining whether a latent factor(s) in EF may emerge when individuals are assessed across multiple tasks. Early results by Miyake et al. (2000) indicated that EF might break down into three primary component processes in working memory (i.e., WM, keeping information in mind and updating it as necessary), cognitive flexibility (i.e., ability to shift from one context to another), and inhibition (i.e., resisting the execution of a prepotent behavior; see also Diamond, 2013, for more of a focus on EFs and subfunctions). However, developmentally, it is important to note that this latent factor approach was initially based on research with adults, and latent factor models with preschoolers have suggested that the structure of EF could be better represented as a unitary structure, with strong component abilities in shifting and WM potentially emerging later in development (McKenna et al., 2017; Wiebe et al., 2008). This idea of an initially unitary EF with emerging expertise in component processes may also align with recent updates suggesting it is important to consider both the unity and diversity in EF (Friedman & Miyake, 2017; Miyake & Friedman, 2012). Recent adult literature (Friedman & Miyake, 2017; Smith et al., 2019) has shown that there may be an underlying common EF related to the ability to maintain task-relevant information directed toward a goal (potentially similar to an EF macroconstruct) in addition to WM and shifting, which may be only relevant to certain tasks.
Another popular conceptualization of EF involves possible differentiation between “cool” and “hot” EF —with cool EF corresponding to the more prototypical tasks within cognitive psychology involving behavioral control in abstract decontextualized problems and hot EF involving control in situations that are not decontextualized and involve motivation and emotionally significant rewards (Garon, 2016; Lensing & Elsner, 2018; Montroy et al., 2019; Moriguchi, 2021; Zelazo & Carlson, 2012). This perspective takes a slightly different approach from unity and diversity perspectives, suggesting consideration of the motivation and emotion required in different contexts requiring top-down control — as these affect the regulation of thought and behavior (Zelazo & Carlson, 2012). Developmentally, researchers have suggested cool and hot EF may involve different neurocognitive systems and the development of hot EF may lag behind cool EF, especially in preschool-aged children (Moriguchi, 2021; Zelazo & Carlson, 2012). Although there are diverse viewpoints on EF and its corresponding development (e.g., unitary frameworks, componential EFs frameworks, hot-cool frameworks), most conceptualizations agree that EF involves a set of interrelated subprocesses that contribute to self-regulatory and goal-directed problem-solving function at the center of EF. It will likely be important for studies examining potential EF interventions to consider how conceptualizations of EF and its component subprocesses may impact the understanding of intervention effects.
Another important consideration in the study of EF in young children is the method of data collection. During preschool, EF is commonly assessed through behavioral assessment and/or through parent/teacher report. Behavioral assessments involve assessment through children’s behavioral responses to problem-solving tasks (e.g., Garon et al., 2014). In the performance-based method, children are asked to solve a problem that usually has an opposing incorrect prepotent response which conflicts with a novel correct response that fits the situation. Responding with the incorrect prepotent response is considered an EF error, reflecting difficulty executing the cognitive or behavioral control necessary to override a prepotent or habitual response. For example, in the Heads Toes Knees Shoulders (HTKS) task (Ponitz et al., 2008), children begin the task by touching or pointing to the body part that corresponds with the instructions (e.g., touch head when asked to touch head). After a number of trials, the rules switch, and children are told to do the opposite of the command (e.g., touch their toes when asked to touch their head). An EF error in this task would occur when children fail the opposite trials and instead perform the more prepotent response of executing the normal command, presumably because they failed to override or resist the originally correct habitual response, which is now inappropriate in these new switch trials.
Another common method for assessing EF ability is through parent- and teacher-report measures that include rating scales evaluating EF in everyday tasks and scenarios (Gioia et al., 2003; Wood et al., 2018). Report-based methods may provide an overall score that can be interpreted as a global measure of EF, as well as provide measures of specific components of EF. For example, the Behavior Rating Inventory of Executive Function (BRIEF; Gioia et al., 2003) is a multi-item form that is often completed by parents or teachers to assess children’s EF skills in everyday environments. The test also provides a Global Executive Composite score that can be compared to normative data based on ratings from parents and teachers. Although work indicates a relationship between behavioral and survey-based measures of EF, the correlations are modest (Espy et al., 2011; Garon et al., 2016), likely due to important differences and limitations in the measures (e.g., survey-based measures may ask about control within a context that parents and teachers likely observe and are susceptible to reporting bias. Behavioral measures allow for more researcher control but may lack ecological validity and suffer from task impurity issues). Given these differences, it is important to consider the types of methods used to measure EF in intervention-based studies and what these different methods may reveal across various contexts.
One promising and understudied approach to improving EF during preschool is mindfulness. Mindfulness is defined as the deliberate awareness of the present moment without judgment (Kabat-Zinn, 2003; Zelazo et al., 2018). In the mid-2000s, schools started incorporating mindfulness interventions to reduce teacher stress and later evolved to teaching developmentally appropriate mindfulness practices to children. Although mindfulness interventions often take place in classrooms, these interventions can take place in a variety of settings (Teper et al., 2013; Zelazo et al., 2018) and typically involve group activities that emphasize self-reflection and awareness (Flook et al., 2010). For example, an intervention may involve focusing on breath or movement to regulate and focus attention. In addition, it is important to note that mindful activities often involve awareness of breath and movement. Therefore, yoga (i.e., physical postures, breathing techniques, meditation, and relaxation; Hagen & Nayar, 2014) has emerged as a mindfulness-related practice for improving reflection and awareness. However, it is important to note that a specific focus on mindfulness within yoga (e.g., deliberate attention to the present moment in breath and movement) is necessary for yoga to be considered mindful, as some yoga practices may focus more on physical movement and stretching. Research about the effectiveness of mindfulness and mindful yoga interventions in children and adolescents is an emerging and fast-growing area of research (Diamond & Ling, 2019; Flook et al., 2015; Roeser, 2014).
Support for interventions incorporating mindfulness has increased in older children and adults in recent years (Cásedas et al., 2020; Tang et al., 2012). For instance, a systematic review conducted by Diamond and Ling (2019) focused on interventions specifically aimed to improve EF across ages. The authors gathered empirical work examining any multi-session method or program intended to improve EF published in a peer-reviewed journal written in English by or before 2015. Studies were included in their systematic review if they measured at least one objective EF outcome, involved eight or more people per group, consisted of a control group to compare EF improvement and/or posttest performance in the experimental and control groups, and was not simply correlational. Of all the evaluated programs (e.g., aerobic exercise, computerized cognitive training, BrainGames, Cogmed Training), mindfulness appeared to be the most beneficial practice of improving EF. The authors attributed the benefits of mindfulness to the emphasis the practice puts on self-regulatory and attention skills. This evidence should be taken cautiously though, as relatively few studies were reviewed. More specifically, mindfulness interventions involving movement (e.g., Chinese mind–body practices, ta’i chi, motor training) consistently showed evidence for EF improvement (100% of reviewed studies involving mindfulness and movement in the review by Diamond and Ling’s, 2019). However, it is important to note that the literature may be slightly more nuanced than Diamond and Ling’s (2019) review suggest. For example, Hillman et al. (2019) raise a critical point that “mindful” movement-based practices may be classified in a variety of ways and not necessarily considered a form of mindfulness. Moreover, only one of the studies included in Diamond and Ling (2019) examined mindfulness and EF among preschool-aged children (Flook et al., 2015). Given that the studies of Diamond and Ling’s (2019) review were published by or before 2015, more evidence examining whether mindfulness improves preschoolers’ EF likely exists in the literature.
Additional reviews of mindfulness interventions in childhood have begun to emerge. For example, a meta-analysis was conducted that examined treatment effects of mindfulness across different ages (3.9 to 17.7 years) and outcome domains (e.g., mindfulness, metacognition, emotional and behavioral regulation, attention, therapeutic outcomes; Klingbeil et al., 2017). The results of this review provide promising evidence toward mindfulness interventions across different domains and contexts. However, it is unclear how mindfulness influenced children at different ages and in EF specifically. Additional evidence for youth mindfulness interventions can be seen in the reviews conducted by Maynard et al. (2017) and Dunning et al. (2019; 2022). However, these reviews largely focused on later preschool and adolescence and incorporated multiple outcome factors (e.g., mental health, academic achievement, emotional regulation, cognition via EF, and attention). Mak et al. (2018) also examined empirical evidence of mindfulness improving EF using a systematic approach, but unlike Diamond and Ling (2019), Mak et al. solely examined the effect of mindfulness on EF and attention outcomes with adolescents and found the results to be mixed. The authors searched six databases using the following terms: yoga, mindfulness, mindful awareness, meditation, child, children, adolescence, adolescent, pediatric, cognition, attention, cognitive function, and executive function. In their review, Mak et al. examined randomized control trials (RCTs) and quasi-randomized trials that involved any mindfulness-based techniques, yoga, or meditation. Furthermore, studies were required to have attention or EF as an outcome measure. Of the 13 articles reviewed, five (38%) studies demonstrated improvements in EF or attention because of mindfulness interventions. Mak et al. suggested the mixed findings could be due to the various facets of attention and EF that were measured across the different studies, as well as the different methods. However, it is important to note that the review conducted by Mak et al. included outcome measures of attention and EF, therefore resulting in more reviewed studies than the review conducted by Diamond and Ling (2019). Because the significant effects found in the review were predominantly based on attention tasks, the study cannot provide conclusive evidence to support the notion that mindfulness also improves EF in adolescence. Additionally, the results did not differentiate between the interventions heavily based in movement and those that were not. Thus, the review could not provide support for Diamond and Ling’s (2019) suggestion that interventions involving movement may be particularly effective in improving EF.
Examination of mindfulness as a potential intervention for improving EF in a younger preschool-aged sample is promising. Foremost, mindfulness within preschool curriculums has grown in popularity, thus demonstrating some form of applicational value. Accordingly, Montessori schools are introducing mindfulness and meditation into everyday activities to encourage children’s focus, motivation, and regulation (Jackson, 2020; Montessori Academy, 2017). In addition, young children appear to be successful in carrying out such mindfulness techniques (Flook et al., 2010, 2015; Zelazo & Lyons, 2011). Flook et al., (2010, 2015) demonstrated foundational works evaluating mindfulness in young children that have been cited nearly 600 times. Despite the clear interest in utilizing mindfulness in preschool, it is unclear whether these interventions improve EF for this age group. While recent reviews have included preschool ages (Diamond & Ling, 2019; Takacs & Kassai, 2019), to our knowledge, there is no review evaluating the potential factors influencing why the literature remains mixed.
Finally, there seems to be strong theoretical support for the potential of mindfulness for improving EF, especially during the preschool years. Mindfulness aligns well with existing theoretical models of emerging EF. For example, several theoretical perspectives of EF development focus on the ability to use task-relevant mental representations to guide behavior, which is hypothesized to show significant development during preschool (Marcovitch & Zelazo, 2009; Munakata et al., 2014; Zelazo, 2004, 2015). The fact that a key component of mindfulness training focuses on practices that encourage individuals to reflect on and draw awareness to task demands, thoughts, and the present moment (see Diamond & Ling, 2019 for a review) aligns well with representational models. More specifically, the practice of mindfully drawing awareness to task demands and task-relevant information may help children form stronger representations they can use to control behavior and override conflicting prepotent responses. As young children are hypothesized to go through significant shifts in their ability to form and reflect on task-relevant information (Zelazo, 2004, 2015), mindfulness may be a particularly useful practice during this period.
Given the evidence suggesting that mindfulness can be useful in improving EF across older age groups (for reviews: Baer, 2003; Diamond & Lee, 2011, Diamond & Ling, 2019; Dunning et al., 2019; Gallant, 2016; Klingbeil et al., 2017; Mak et al., 2018; Maynard et al., 2017), it is important to examine mindfulness effects on EF in preschool-aged children for several reasons. First, the significant development and evidence of plasticity in early EF (Blair, 2016; Fiske & Holmboe, 2019) makes the preschool period particularly susceptible to intervention. Second, developmental EF theory suggests that mindfulness practice may be an especially helpful EF intervention given its relation to developing representational abilities thought to impact EF behavior in young children (Zelazo, 2004, 2015). Finally, work demonstrating that mindfulness practice involving a motor component was the most beneficial intervention at improving EF across the lifespan (Diamond & Ling, 2019). This finding holds relevance for the preschool period, as EF is commonly assessed in preschoolers by observing their actions and motor responses (Koziol et al., 2012; Moreno et al., 2017). The primary objective of this review was to examine the breadth of existing literature and possible knowledge gaps in research studying the effects of mindfulness on EF in preschool-aged children. Because our review question was focused on whether the use of mindfulness-based interventions improved preschoolers’ EF, we focused our scoping review on studies that utilized randomized control designs which are suggested as the best method for comparative studies and understanding the efficacy of an intervention.

Method

Methodological and Analytical Framework

Taking into account that mindfulness-based interventions focused on improving EF with preschoolers is an emerging and rapidly growing area of research, the present study employed a scoping review to explore the current literature and identify research gaps. The methodology aligns with established frameworks by Arksey and O’Malley (2005) and Peters et al. (2015), which suggest there are five steps necessary for a scoping review: (a) identifying the question; (b) gathering relevant studies; (c) selecting the studies; (d) representing the data; and (e) summarizing and reporting the results (with a potential 6th step of consultation of experts). In line with Peters et al. (2015), we also clearly identify our objectives, research question, inclusion criteria, concepts examined (e.g., outcomes, study designs considered), context (e.g., study settings, location factors), search approach, and charting of results. We also acknowledge that the scoping review is an iterative process (Arksey & O’Malley, 2005; Peters et al., 2015; Westphaln et al., 2021) and note where we made any updates or changes as we learned from the existing literature during our search (e.g., we excluded yoga interventions that did not directly report aspects of mindfulness and removed dependent variables that were not explicitly EF from the search query).
First, we focused on better understanding the current state and breadth of literature by broadly examining mindfulness interventions and EF (Arksey & O’Malley, 2005; Munn et al., 2018). Second, we aimed to identify current gaps in the existing literature to inform future research. Finally, in line with the recommended updates from Westphaln et al. (2021) to Arksey and O’Malley’s framework, we took a team-based approach to the scoping review incorporating feedback from both experts within developmental psychology and education. For our data charting, we extracted many of the fields suggested by several articles during the extraction phase (e.g., author, country, purpose, study population, intervention type, concepts, duration, outcome measured; see Peters et al., 2015). Finally, our analytical strategy was in line with several frameworks, as we sought more to assess the current state of the literature and gaps in the literature, rather than aggregating findings, evaluating study quality, or discussing evidence for particular interventions (Arksey & O’Malley, 2005; Munn et al., 2018; Peters et al., 2015). Our analytic strategy focused on providing a narrative account of the findings across key factors (e.g., with basic numerical analysis like number or percentage of studies related to location, type of EF assessment, type of intervention) based on the data we extracted and charted from our review to meet our study objectives (Arksey & O’Malley, 2005).

Search Strategy

A comprehensive search of the following six databases was performed: PsycINFO, Scopus, PubMed, Psychology & Behavioral Sciences Collection, Academic Search Complete, and ERIC. Databases were chosen by examining search strategies of existing systematic and scoping reviews in mindfulness and EF literature. The research team identified key terms and associated synonyms based on our research question examining whether the use of mindfulness-based interventions improved preschoolers’ EF (Table 1) to develop an initial search query. All individual terms per column were combined using the “OR” Boolean operator into a single group. Each key term group was then combined using the “AND” function to produce a final list of citations. Terms were truncated where appropriate. No other restrictions were entered into the database search (e.g., date of publication). The initial database search and duplicate screening were conducted in February 2021. Two subsequent updates were performed: one in July 2023, covering publications from February 2021 to July 2023; and another in November 2024, capturing articles published from July 2023 to November 2024. Following each search, a final list of citations was saved in the citation manager, Zotero, and screened for duplicates. Records of all searches in each database were maintained. In addition to the database search, a call for unpublished data relevant to this review was submitted to cognitive development and education listservs.
Table 1
Terms used in initial search query
Preschool*
Mindful*
“Executive Function”
“Early Childhood”
“Mindful Awareness”
“Self Regulation”
“Pre-k”
Meditation
“Cognitive Control”
“Prekindergarten”
Yoga
“Executive Control”
  
“Effortful Control”
  
“Attentional Control”
  
“Working Memory”
  
Inhibition
Key terms (in bold) and corresponding synonyms. An * denotes truncation and “” denotes an exact phrase. Although there is debate on the overlap between some of the constructs used as synonyms for executive function in our search (e.g., Nigg, 2017), we included them in the search criteria because of potential overlap in the search process. We did exclude any studies that did not explicitly mention executive function or a component of EF (i.e., working memory, inhibition, shifting, or cognitive flexibility) in their outcome measures

Inclusion Criteria

The review aimed to identify and synthesize literature examining the effect of mindfulness interventions on EF in preschool-aged children; therefore, inclusion criteria were designed to include studies that were RCTs, interventions with a focus on mindfulness, and participants between the ages of 3.00 and 5.00 years old. The significant developmental growth in EF and the novelty of mindfulness-based interventions during preschool make it important to use RCTs to minimize biases and allow for rigorous control comparisons, ensuring a clearer understanding of causal relationships. Given that yoga can be administered without definitive mindfulness practices, any yoga intervention that did not explicitly reference mindfulness techniques that encouraged awareness of the present moment without judgment was excluded. Articles met the age criterion if the term preschool was used or if an age range containing 3-, 4-, or 5-year-olds was directly stated. In addition, the studies were required to report having an outcome measure explicitly mentioning EF or an EF component. Included studies were peer-reviewed empirical articles and ProQuest dissertations published in the English language. Our call for unpublished data did not yield any studies that met these inclusion criteria.

Review and Screening Process

After the initial search of the databases and removal of duplicates, all articles underwent a two-stage screening process based on the inclusion criteria, which are shown in Fig. 1. In Stage 1, the first and second authors independently evaluated the full search yield for inclusion criteria based on title and abstract only. Citations were moved on to the next stage if they met all inclusion criteria or if inclusion criteria could not be determined by the title or abstract alone. Results from Stage 1 were nearly identical across reviewers, but in cases where they did not align the article in question was moved on to Stage 2. Articles that progressed to the full-text review in Stage 2 were then reviewed individually by the core review team (i.e., the first and second authors) based on the set inclusion criteria. Articles moved to the final stage if there was consensus among the two reviewers. Articles rarely failed to reach consensus, but when they did the core research team and last author reviewed the studies and reached consensus through discussion and consultation of the original text and/or supporting materials (e.g., consultation or cited methodological articles).

Data Extraction

The following information were extracted from each article to match the aims of the scoping review: bibliographic information; study aims; study design; sample: size, inclusion/exclusion criteria, and participant characteristics; mindfulness intervention characteristics: duration, component/factors, mindfulness definition, domain; and EF outcome measures (Table 2). In addition, group means, sample sizes, and standard deviations for each EF outcome measure were collected for control and treatment groups. Data were extracted by the first, second, and last authors to be discussed and consolidated as a group. If the data were not available in the original paper, the author was contacted. However, two studies were ultimately removed from the calculated effect size analysis due to lack of information (Courbet et al., 2024; Xie et al., 2024).
Table 2
Study characteristics for studies included for final review
Study
Methods
Participant characteristics
Female (% of total sample)
Control
Intervention curriculum/program
Movement component
Length (weeks)
Frequency
Length (minutes)
Kabat-Zinn definition
Present moment
Non-judgment
Meditation (internal attention)
Instructor
Outcome measure
Beattie, 2014)
Quasi-experimental RCT
No serious medical conditions; parent consent; USA
12 (50%)
Reading intervention
Take-5 Yoga
X
6 weeks
Once a week
180 min
 
X
X
X
Certified yoga instructor
Behavioral
Berti and Cigala (2020)
Randomized pretest/posttest
Italian kindergarten; typical developing; Italian citizenship
9 (43%)
Sitting down activities with teachers
  
6 weeks
Three times a week
240–300 min
X
X
X
X
Trained MSBR instructor
Behavioral
Brann et al. (2022)
Quasi experimental RCT; randomized by classroom; pilot study
Childcare centers in a mid-sized city in the northeastern region of the USA; primarily white, middle-class families
28 (65%)
BAU
YogaKids
X
6 weeks
Once a week
180 min
X
X
X
X
Certified yoga instructor
Behavioral/parent report
Flook et al. (2015)
RCT
Seven classrooms from six elementary schools; medium midwestern city, USA
34 (51%)
Waitlist control BAU
Kindness Curriculum
X
12 weeks
Once a week
480–720 min
 
X
 
X
Experienced mindfulness instructors
Behavioral
Jackman et al. (2019)
Stratified RCT; randomized by classroom
Students of Headstart classrooms in counties of Midwestern USA
135 (48%)
High scope curriculum with trust-based relations and social emotional learning
OpenMind
X
N/A
Daily
No information provided
X
X
X
X
Trained OM teachers
Behavioral/teacher report
Haines et al. (2023)
RCT
16 classrooms, four sites, Midwestern United States
113 (46%)
BAU
Mindfulness-Based Kindness Curriculum
X
12 weeks
Twice a week
15–20 min
X
X
X
X
Teachers
Behavioral/teacher report
Lertladaluck et al. (2021)
Stratified RCT; randomized by classroom
Children with lowest scoring EF across two child development centers in Thailand
15 (50%)
BAU
 
X
8 weeks
Three times a week
960 min
X
X
X
X
Teachers
Behavioral/teacher report
Leyland et al. (2018)
RCT; block randomization
English as first language; parent consent and child assent; urban UK
156 (46%)
3-min dot drawings
  
Single session
NP
3 min
 
X
X
X
Clinical psychologist with mindfulness experience
Behavioral
Li et al. (2019)
RCT
Kindergarten in Chongqing, all right-handed, tested on intelligence, vision and hearing
26 (50%)
BAU
 
X
6 weeks
Twice a week
240–360 min
X
X
X
X
Teachers
Behavioral
Lim and Qu (2017)
Mixed methods RCT
Healthy English speaking; no prior mindfulness training; Singapore
122 (48%)
15-min. activity unrelated to mindfulness
 
X
Single session
NP
15 min
X
X
X
X
First author
Behavioral
Poehlmann-Tynan et al., (2016
Stratified RCT; randomized by classroom
Low-income preschools from midwestern mid-sized city in USA
14 (49%)
Dialogic Reading
Kindness Curriculum
X
12 weeks
Once a week
480–720 min
 
X
X
X
Trained KC Instructor
Behavioral
Razza et al. (2020)
RCT; pilot study
Majority under poverty line, Headstart center in a city in Northeastern USA; primarily African American and mixed race
45 (55%)
Waitlist control BAU
YogaKids
X
8 weeks
Twice a week
480 min
 
X
X
X
Certified children’s yoga instructor
Behavioral
Sexton et al. (2022)
Stratified RCT; randomized by classroom; pilot study
Early learning centers from six Victorian metropolitan communities
54 (49%)
BAU
Smiling Mind
X
8 weeks
Three times a week
No information provided
X
X
X
X
Trained teachers
Parent/teacher report
Shlomov et al. (2023)
RCT
Healthy children from a middle-class socioeconomic background
19 (37%)
Reading intervention
Kindness Curriculum
X
8 weeks
Three times a week
720 min
X
X
X
X
Experienced mindfulness instructors
Behavioral
Viglas & Perlman (2018)
Stratified RCT; randomized by classroom
Canadian kindergartens: LOI rankings indicate higher external challenges affecting student success
53 (43%)
N/A
Mindful Schools
 
6 weeks
Three times a week
360 min
X
X
X
X
Trained PI
Behavioral
Wood et al. (2018)
Stratified RCT; randomized by classroom
University campus-based child centers; urban city in Southeast USA; mostly children of faculty, staff, or students
16 (59%)
Waitlist control: activities that did not involve mindfulness — group activities, art, etc
Mini-Mind
X
6 weeks
Twice a week
300 min
X
X
X
X
Trained lead facilitator and two trained assistants
Teacher report
Zelazo et al (2018)
3-arm RCT
Low-income families from two preschools — Houston TX (primarily Hispanic), and DC (African American)
117 (54%)
Literacy group; BAU
  
6 weeks
Daily
336 min
X
X
X
X
Trained teachers
Behavioral
BAU business as usual, RCT randomized controlled trials, NP not provided

Data Synthesis and Analysis

Data for the non-treatment control group and mindfulness intervention treatment groups at the post-intervention time point were extracted for this review. In instances where multiple control groups were administered (Zelazo et al., 2018), only data for the primary non-treatment (business as usual (BAU)) control group were extracted (Mak et al., 2018). The data for other comparison groups like literacy (Zelazo et al., 2018) were not extracted as they did not closely resemble a typical classroom setting. Extracted outcome data from each study included group raw means, group sample sizes, and group raw standard deviations (Table 3).
Table 3
Calculated effects sizes for intervention’s effect on EF
https://static-content.springer.com/image/art%3A10.1007%2Fs12671-025-02546-3/MediaObjects/12671_2025_2546_Tab3a_HTML.png
https://static-content.springer.com/image/art%3A10.1007%2Fs12671-025-02546-3/MediaObjects/12671_2025_2546_Tab3b_HTML.png
Commonly considered as a global measure of EF
VA A minutes/speed, VA B score/precision, WM working memory, Inhibit inhibition, Shifting cognitive flexibility, HTKS Head Toes Knees Shoulders, GNG Go/No-Go task accuracy, GNG Response correct pressing on “go” stimuli, GNG Inhibit correct nonresponse on “no-go” stimuli, GNG RT response time, KiTAP Flexibility cognitive flexibility assessment within KiTAP, KiTAP GNG Go/No-Go task within KiTAP, BRIEF-P ISCI parent/teacher report of inhibitory self-control, BRIEF-P FI parent/teacher report of cognitive flexibility, BRIEF-P EMI parent/teacher report of emerging metacognition, BRIEF-P GEC parent/teacher report of global EF, MU.EF-101 behavioral checklist for the assessment of EF development in preschoolers, CHEXI Childhood Executive Functioning Inventory, Peg-Tapping inhibitory assessment with scores ranging between 0 and 16, MEFS Minnesota EF Scale combining accuracy and RT resulting in scores ranging from 0 to 100, WPPSI-IV picture memory task evaluating working memory, H&F Hearts and Flowers task evaluating inhibition, DCCS Dimensional Change Card Sort task; Delay: Delay of Gratification inhibition task, Backward Digit backward digit span task evaluating WM, ToH Tower of Hanoi task evaluating working memory, ANT Flank ER weighted mean for the executive component of the ANT Flanker using error rates, ANT Flank RT weighted mean for the executive component of the ANT Flanker using response time, Continuous Performance Task evaluated attentional or cognitive shifting, Flanker Task RT Flanker task examining inhibition through response time, Flanker Comp Flanker task examining inhibition, composite score combining accuracy, and RT, Spatial WM evaluated working memory by presenting targets and distractors, AST Attention Sustained Task evaluating attentional focus and inhibition, NP information not provided in the original study
1Based on calculated p-values with p < 0.05
2At least one EF measure variable found significant intervention effect based on calculated p-values with p < 0.05
3Reported means are adjusted
4Higher scores indicating poorer performance
5Weighted means were calculated to collapse across the factors that were not of interest. Study includes report measures of EF
Gray highlight represents measures that are commonly considered a global measure of EF
Italicized text represents paren/teacher report measures
Bolded text represents significant p-values (.05)

Descriptive Approach

Given that our literature review revealed variability in both the types of mindfulness interventions assessed and the methods used for EF assessments (see description of studies), we utilized a descriptive approach. Specifically, we calculated and compared p-values and effect sizes using Hedge’s g by analyzing post-intervention means between the control and mindfulness intervention groups (Table 3). This descriptive approach allowed us to examine intervention effects across multiple factors—such as participant characteristics, intervention features, and outcome measures—despite the limited number of studies included.

Results

Description of Studies

A total of 1707 articles were identified from six databases (Fig. 1). Removal of duplicates and an initial review of title and abstract based on the criteria noted in the inclusion criteria section resulted in the elimination of 1632 articles. A total of 61 full-text articles were retrieved for detailed consideration, of which 29 met inclusion criteria based on the process listed in the inclusion criteria and review and screening process sections. The final reviewed articles included 28 peer-reviewed articles and one dissertation (acquired through psycINFO database search; Beattie, 2014). At the start of the final analysis, six articles (Cohen et al., 2018; Jarraya et al., 2019; Lemberger-Truelove et al., 2018; Li-Grining et al., 2021; Rashedi et al., 2021; Thierry et al., 2018) were removed from the review. Thierry et al. (2018) was removed because of inadequate randomization, thus not meeting the criteria for a RCT. Lemberger-Truelove et al. (2018) was removed because the outcome measure (C-OMM) examined inhibition and shifting, specifically in the context of mindfulness, and defined as an outcome “developed to identify preschool-aged children’s spontaneous behaviors that more closely reflect mindfulness” (Lemberger-Truelove et al., 2018, p. 1408). Similarly, Li-Grining et al. (2021) examined self-regulation through child well-being. Thus, these studies did not meet the inclusion criteria of a measure of EF. Finally, three articles (Cohen et al., 2018; Jarraya et al., 2019; Rashedi et al., 2021) implemented yoga interventions that did not clearly describe aspects of mindfulness. Therefore, 17 articles met the inclusion criteria and were examined for potential influence of mindfulness intervention as shown in Fig. 1.

Results of Descriptive Approach

Extracted data and calculated intervention effect size for the final review of articles are shown in Table 3. However, effect sizes and p-values could not be calculated for three individual EF measures reported in Beattie (2014, two EF measures: Continuous Performance Task, Spatial Working Memory Task) and Jackman et al., (2019, 1 EF measure: Go/No Go Inhibit) due to lack of information provided in the original articles. The calculated effect sizes indicate that 12 of the 17 (70.6%) studies found at least one significant effect of mindfulness on EF, of which all had medium to large effect sizes. The remaining five studies (29.4%) did not find significant intervention effects (Flook et al., 2015; Lim & Qu, 2017; Razza et al., 2020; Wood et al., 2018; Zelazo et al., 2018) based on our effect size analysis (Table 3).
The 17 studies provided data for 59 outcome variables of EF, of which 21 (35.6%) were significant, providing equivocal support for mindfulness interventions improving EF. Large effect sizes (1.02–4.40) were identified in ten (47.6%) of the significant outcome variables. Medium effect sizes were identified for the remaining 52.4% significant outcome measures (0.26–0.8). However, the results of this analysis should be taken cautiously given that some of the outcome variables are not independent observations. The behavioral measures of EF that demonstrated consistent intervention effects varied (e.g., HTKS, Go/No-Go, PegTap, Hearts and Flowers, Dimensional Change Card Sort task (DCCS)). Only two teacher-report measures of EF were significant (BRIEF-P; Jackman et al., 2019; Haines et al., 2023; and MU.EF-101; Lertladaluck et al., 2021). The majority of the significant EF tasks were not computerized (HTKS, Jackman et al., 2019; Viglas & Perlman, 2018, Zelazo et al., 2018; and PegTap, Zelazo et al., 2018). Computerized tasks consisted of Go/No-Go (Berti & Cigala, 2020; Poehlmann-Tynan et al., 2016), Hearts and Flowers (Li et al., 2019), CHEXI (Sexton et al., 2022), Flanker Task (Haines et al., 2023), and DCCS (Haines et al., 2023; Li et al., 2019). The HTKS task was the most used measure of EF (8 of the 17 studies; 47.1%); however, only three studies using EF favored the mindfulness treatment with this measure (Brann et al., 2022; Jackman et al., 2019; Viglas & Perlman, 2018).

Participant and Study Characteristics

Characteristics of the reviewed studies are listed in Table 2 and significant effects can be found in Table 3. Most of the studies (76.5%) involved children up to 5.00 years (Beattie, 2014; Brann et al., 2022; Flook et al., 2015; Haines et al., 2023; Jackman et al., 2019; Lertladaluck et al., 2021; Li et al., 2019; Poehlmann-Tynan et al., 2016; Razza et al., 2020; Sexton et al., 2022; Wood et al., 2018; Zelazo et al., 2018). Of the studies including children up to 5.00 years, over half (64.7%) reported at least one significant effect of the mindfulness intervention. Five studies included older participants in their preschool-aged sample, and they remained in the review because the mean age fell between 3.00 and 5.50 years. Four studies included children up to 6.00 years (Berti & Cigala, 2020; Lim & Qu, 2017; Shlomov et al., 2023; Viglas & Perlman, 2018), and one study included children up to 7.00 years (Leyland et al., 2018). In these cases, the sample was considered as a whole because age groups could not be separated, and the majority of participants fell within the range of interest. Four (80.0%) of the studies that included older samples also found at least one significant effect on the mindfulness group. All studies were assumed to have recruited typically developing children, though one study identified a focus on preschoolers with the lowest scoring EF (Lertladaluck et al., 2021).
In terms of study location, approximately half (n = 8) of the reviewed studies took place outside the United States (Italy, Berti & Cigala, 2020; Thailand, Lertladaluck et al., 2021; Northern UK, Leyland et al., 2018; China, Li et al., 2019; Singapore, Lim & Qu, 2017; Australia, Sexton et al., 2022; Israel, Shlomov et al., 2023; Canada, Viglas & Perlman, 2018). Seven (87.5%) of these studies were identified as having at least one significant intervention effect (Berti & Cigala, 2020; Lertladaluck et al., 2021; Leyland et al., 2018; Li et al., 2019; Sexton et al., 2022; Shlomov et al., 2023; Viglas & Perlman, 2018). Of the studies that were conducted within the United States (U.S.), 55.6% found at least one significant effect for mindfulness and 55.6% indicated that children were from lower-income families (Haines et al., 2023; Jackman et al., 2019; Poehlmann-Tynan et al., 2016; Razza et al., 2020; Zelazo et al., 2018). One study conducted outside the U.S. described the sample as having higher external challenges than other children (e.g., parents’ education and income, poverty, and proportion of lone-parent families; Viglas & Perlman, 2018). Four of the six studies reporting a sample from lower-income families demonstrated at least one significant effect of mindfulness.

Types of Mindfulness Interventions

Twelve (70.6%) of the reviewed articles used a definition of mindfulness provided by Kabat-Zinn (2003) which defines mindfulness as “the awareness that emerges through paying attention on purpose, in the present moment, and nonjudgmentally” (Berti & Cigala, 2020; Brann et al., 2022; Haines et al., 2023; Jackman et al., 2019; Lertladaluck et al., 2021; Li et al., 2019; Lim & Qu, 2017; Sexton et al., 2022; Shlomov et al., 2023; Viglas & Perlman, 2018; Wood et al., 2018; Zelazo et al., 2018). Additionally, one study explicitly stated awareness of the present moment and non-judgmental curiosity toward awareness as two primary components of mindfulness (Leyland et al., 2018). Further, all reviewed studies expressed that mindfulness and mindful yoga interventions involved internal attention by focusing on thoughts, breath, movements, or sensory information (e.g., meditation).
Many of the studies (81.3%) explicitly described the mindfulness intervention as involving movement (e.g., yoga poses or postures; Beattie, 2014; Brann et al., 2022; Flook et al., 2015; Haines et al., 2023; Jackman et al., 2019; Lertladaluck et al., 2021; Li et al., 2019; Lim & Qu, 2017; Poehlmann-Tynan et al., 2016; Razza et al., 2020; Sexton et al., 2022; Shlomov et al., 2023; Wood et al., 2018). More than half (69.2%) of these studies demonstrated at least one significant effect of mindfulness interventions. The interventions were delivered in a variety of ways and differed in duration including single-session mindfulness inductions (Leyland et al., 2018; Lim & Qu, 2017), 6-week sessions (Beattie, 2014; Berti & Cigala, 2020; Brann et al., 2022; Li et al., 2019; Viglas & Perlman, 2018; Wood et al. 2018; Zelazo et al., 2018), 8-week sessions (Lertladaluck et al., 2021; Razza et al., 2020; Sexton et al., 2022; Shlomov et al., 2023), and 12-week sessions (Flook et al., 2015; Haines et al., 2023; Poehlmann-Tynan et al., 2016). Fifty percent of the single session mindfulness inductions found at least one significant effect on EF outcomes. For the studies that implemented 6-week sessions, 71.4% resulted in at least one significant effect. Three of the four studies that provided an 8-week mindfulness session reported at least one significant effect. Of the two studies that implemented 12-week sessions of mindfulness, two had at least one significant effect on EF. The intervention duration was not clearly stated in one study (Jackman et al., 2019). In addition, intervention exposure varied greatly across studies, ranging from 3.00 to 1280.00 min (Table 2).
Although not all studies reported how the interventions were delivered, a majority followed a protocol or curriculum (81.8% reported a significant effect of the curriculum). Many articles (64.7%) referenced an established mindfulness or mindful yoga curriculum (Table 2; Beattie, 2014; Berti & Cigala, 2020; Brann et al., 2022; Flook et al., 2015; Haines et al., 2023; Jackman et al., 2019; Poehlmann-Tynan et al., 2016; Razza et al., 2020; Sexton et al., 2022; Shlomov et al., 2023; Viglas & Perlman 2018; Wood et al., 2018). Intervention instructors consisted of experienced mindfulness or mindful yoga instructors (Beattie, 2014; Brann et al., 2022; Flook et al., 2015; Poehlmann-Tynan et al., 2016; Razza et al., 2020; Shlomov et al., 2023), teachers trained on the intervention (Haines et al., 2023; Jackman et al., 2019; Lertladaluck et al., 2021; Sexton et al., 2022; Zelazo et al., 2018), or other individuals trained in the intervention procedure (e.g., primary researcher, research students, counselor; Leyland et al., 2018; Lim and Qu, 2017; Viglas & Perlman, 2018; Wood et al., 2018). All but one study (Li et al., 2019) directly stated the status or expertise of the intervention instructor.
Of the studies that had teachers trained on the mindfulness curriculum, 80.0% found at least one significant effect (Haines et al., 2023; Jackman et al., 2019; Lertladaluck et al., 2021; Sexton et al., 2022), while 62.5% of the studies that delivered the intervention with the help of an external trained instructor specific to the curriculum or mindful yoga practice found at least one significant effect (Beattie, 2014; Berti & Cigala, 2020; Brann et al., 2022; Leyland et al., 2018; Poehlmann-Tynan et al., 2016; Shlomov et al., 2023; Viglas & Perlman 2018). Of the studies that failed to find an effect of mindfulness training on EF, those who delivered the intervention were also trained in the curriculum or mindful yoga practice (e.g., trained instructors or teachers; Flook et al., 2015; Lim & Qu, 2017; Razza et al., 2020; Wood et al., 2018; Zelazo et al., 2018).

EF Measures

Fifteen of the reviewed studies (88.2%) examined behavioral measures of EF, with the most common form being the HTKS (Berti & Cigala, 2020; Brann et al., 2022; Jackman et al., 2019; Leyland et al., 2018; Poehlmann-Tynan et al., 2016; Razza et al., 2020; Viglas & Perlman, 2018; Zelazo et al., 2018). Of the studies that measured EF through HTKS performance, 37.5% reported a significant effect of the mindful group. This task has been established as a global measure of self-regulation by targeting inhibition (inhibiting the motor response to reach toward a particular body part), WM (remembering and manipulating a set of instructions), and cognitive flexibility (switching between corresponding and opposite instructions; Ponitz et al., 2008).
The Go/No-Go (GNG) task was also a common measure of EF in the reviewed studies (21.4%; Berti & Cigala, 2020; Jackman et al., 2019; Poehlmann-Tynan et al., 2016). Of the studies using the GNG, 66.7% demonstrated a significant effect of mindfulness. This task is frequently used as a measure of inhibition in preschool-aged children (Wiebe et al., 2012; Yong-Liang et al., 2000). The GNG requires children to respond to a “go” trial and withhold response to a “no-go” trial to measure inhibitory control.
The Dimensional Change Card Sort task (DCCS) was also used in four of the reviewed studies (Flook et al., 2015; Haines et al., 2023; Lertladaluck et al., 2021; Li et al., 2019) as an EF measure. One (25%) of these studies reported a significant effect of mindfulness. The DCCS is another valid measure of preschool EF that involves sorting cards based on one dimension (e.g., color) and then again by another dimension (e.g., shape) during a switch trial (Zelazo, 2006). Although the DCCS can be considered a global measure of EF, targeting inhibition (inhibiting a learned sorting response), WM (remembering and manipulating a set of instructions), and cognitive flexibility (switching between two sets of instructions), the studies reviewed in this paper recognized the DCCS as a cognitive flexibility task that primarily targets shifting between two sets of instructions.
Additional established behavioral measures of EF included Peg Tapping (Lertladaluck et al., 2021; Zelazo et al., 2018), Minnesota Executive Function Scale (Zelazo et al., 2018), Hearts and Flowers Task, WPPSI-IV (Li et al., 2019), Bear and Lion task (Lertladaluck et al., 2021), delay of gratification task, Flanker task (Beattie, 2014; Flook et al., 2015), Sky Search task, Walk Don’t Walk, and Animals and Colors (Shlomov et al., 2023), and Flanker Task (Haines et al., 2023).
Some (31.3%) of the measures included in the reviewed studies were parent/teacher questionnaires or researcher observation (Brann et al., 2022; Haines et al., 2023; Jackman et al., 2019; Lertladaluck et al., 2021; Sexton et al., 2022; Wood et al., 2018). In addition to behavioral measures, three studies (Brann et al., 2022; Haines et al., 2023; Jackman et al., 2019) assessed children’s EF through a valid parent and teacher scale known as the Behavior Rating Inventory of Executive Function (BRIEF-P; Gioia et al., 2002). Lertladaluck et al. (2021) also included an established parent and teacher EF development behavioral checklist in combination with behavioral measures (MU.EF-101; Chutabhakdikul et al., 2017). Sexton et al. (2022) utilized the Childhood Executive Functioning Inventory (CHEXI). Wood et al. (2018) developed a teacher report for the assessment of children’s WM, inhibition, and shifting skills. Of these six studies that utilized report measures of EF, four reported at least one significant effect of the mindfulness intervention.

Discussion

A scoping review was conducted to evaluate the state of the literature examining mindfulness-based interventions for preschoolers to help researchers and practitioners in this area identify and examine potential gaps in knowledge (Munn et al., 2018) that may be useful for moving research and intervention forward. There is currently mixed evidence regarding the benefit of mindfulness-based intervention on preschoolers’ EF. Across the studies where effects could be calculated, approximately 70.6% showed that mindfulness improved at least one measure of EF, though it was not true for all measures (i.e., only 35.6% of the measures in these studies demonstrated an effect across all studies). Results did not point toward any specific element of the participant or study characteristics that could account for the mixed findings. Moving forward, it may be useful to consider whether differences in the mindfulness intervention, EF assessment, and study characteristics may contribute to the ambiguity indicated by the results of this sample of articles and how current models of EF may inform our inconclusive results.

Overall Impact of Mindfulness Interventions on EF

Ultimately, the findings of the descriptive results provide ambiguous evidence as to whether mindfulness interventions improve EF during preschool. This conclusion aligns closely with the existing literature examining the role of mindfulness interventions in improving EF across childhood and adolescence (Maynard, 2017; Mak et al., 2018; Diamond & Ling, 2019; Dunning et al., 2019; 2022), which provides mixed findings in the efficacy of mindfulness on preschoolers’ cognitive functioning. The equivocal findings may be due to several factors that vary across research designs.

Measures of EF

The reviewed studies differed regarding how EF was measured and conceptualized. Roughly half of the outcome measures in the reviewed articles aligned most with the global EF measure typically using a single task like the HTKS or DCCS tasks to capture all components of EF. For example, the HTKS task involves inhibition (resisting the dominant response of pointing toward the corresponding body part), WM (a child must remember the rules of the task), and cognitive flexibility (shifting from pointing to the corresponding body to pointing to the opposite body part; Ponitz et al., 2008). Of the studies that utilized a single global measure of EF, about one-third indicated significant effects of mindfulness on those outcome measures (Beattie, 2014; Viglas & Perlman, 2018; Jackman et al., 2019; Li et al., 2019; Brann et al., 2022). Although it is difficult to draw any strong conclusions from this group of studies, part of the ambiguity in these results may be explained by limitations of the singular measure of EF. For instance, we know there is no pure task of EF (Friedman & Miyake, 2017; Miyake et al., 2000); thus, inconclusive results could be due to the inherent noise when using a single measure of EF assessment (e.g., although performances on the HTKS and DCCS are related, correlations are usually moderate; McClelland et al., 2014).
Of the outcome measures that broke EF down into components, about half of the studies showed significant effects for inhibition and cognitive flexibility measures, while only a quarter found significant effects for WM measures. Consideration of mindfulness effects on EF from a componential lens reveals a potentially interesting differential effect with effectiveness greater for inhibitory and shifting as compared to WM. This finding may align with componential and developmental perspectives suggesting that measures of WM may focus on holding, updating, and manipulating information in mind, while inhibition and shifting require more skill in resolving conflict between dominant and subdominant responses (Garon et al., 2008). Although these results suggest mindfulness may be particularly helpful to EF involving the control of behavior over proponent responses, it is important to consider these conclusions regarding the current research in early EF development. Many have suggested these componential processes have not fully emerged early in development (McKenna et al., 2017; Wiebe et al., 2008) and work examining EF from a latent factor approach may be able to better capture mindfulness contributions to individual components of EF if they exist.
Another important theoretical consideration is the distinction between cool and hot EF (Lensing & Elsner, 2018; Moriguchi, 2021; Montroy et al., 2019; Zelazo & Carlson, 2012; Garon, 2016). Although the authors from the present review may not have explicitly considered the motivation and affect involved within their EF tasks given (i.e., hot-cool systems of EF), there is work suggesting that motivationally significant contexts may demand different top-down processes (Zelazo & Carlson, 2012). Perhaps the most commonly administered EF tasks considered to involve hotter EF are delay tasks (e.g., Kochanska et al., 2001), requiring children to wait and inhibit a prepotent response (e.g., peeking at a present, eating a snack right away) to get a reward. In the present review, only two of the 37 measures provided data for what could be considered hot EF tasks (i.e., delay tasks; Flook et al., 2015; Leyland et al., 2018), and 50.0% demonstrated a significant effect for mindfulness. Although there is no sufficient data to make any conclusions regarding this conceptualization of EF, it may be a promising avenue to pursue. Given that mindfulness often involves the awareness of feelings and one’s current state in the present moment without judgment (Kabat-Zinn, 2003; Zelazo et al., 2018), it may be a promising way for young children to identify their feelings and emotions (e.g., anticipation, excitement, frustration) and how they may influence their behavior (Zelazo & Lyons, 2011).
Another difference in the methods used to examine EF includes whether EF assessments were behavioral or reported measures. Behavioral measures of EF often carry concerns regarding ecological validity, as these tasks typically assess children’s abilities related to higher order problem solving and goal-directed behavior in decontextualized contexts (e.g., sorting cards by rules, refraining from pressing a specific stimulus on a screen). Comparisons between behavioral measures of EF behavior and parent/teacher reports of EF behavior in everyday settings may help in understanding EF within more ecologically valid contexts. Results from the present review do not suggest a large discrepancy in the effectiveness of mindfulness-based interventions on different methods of EF assessment, though rates of effectiveness were higher for behaviorally based measures. However, it is important to note that most of the studies reviewed employed behavioral measures of EF, and more information on survey-based measures would be useful. More specifically, survey-based measures and behaviorally based measures likely tell us something different about the effectiveness of mindfulness interventions on EF based on their individual strengths and weaknesses (Miranda et al., 2015; Toplak et al., 2009). For instance, there is some criticism in the EF literature regarding the ecological validity of behavioral measures (e.g., a poor match between what the child is asked to do in the structured tasks and the demands in real-life situations; Duckworth & Yeager, 2015; Isquith et al., 2004; McClelland & Cameron, 2012). Conducting more studies examining the effects of mindfulness with survey measures may address these concerns by asking parents and teachers about real-world situations. These measures are also commonly used in clinical diagnoses such as ADHD (Cohen et al., 2018) and may thus be useful for more fully extending our understanding of mindfulness interventions to clinical populations.
Finally, one striking finding from the scoping review is the sheer number of different EF measures that were used across studies to examine the effectiveness of mindfulness-based interventions for preschoolers. Thus, it is important to note that variations across tasks as well as task administration may also contribute to mixed findings across studies. The conceptualization and measurement of EF have been largely debated, especially across the early childhood years during which significant development is occurring (Doebel, 2020; Garon et al., 2008; Wiebe et al., 2008). One method that has been suggested to mitigate biases inherent in measuring EF with a single or limited measures is a latent factor approach that may allow researchers to consider emerging structures of EF (e.g., unitary, componential, hot/cool) when measured across a number of EF tasks. Although examination of EF via a battery of tasks may not be feasible in large intervention studies, this scoping review may suggest that a study integrating developmental considerations of EF measurement may be useful in targeting how mindfulness may impact EF in the younger preschool years.

Mindfulness Interventions

The implementation of mindfulness intervention varied across studies (Table 2). For example, the reviewed studies differed in who delivered the intervention. Given that results indicated no differences in effectiveness depending on the mindfulness instructor, it may be suggested that data from the present review does not provide evidence that who provided the intervention influenced the outcome on EF measures. It is important to note that all instructors were trained in the curriculum or mindful yoga practice, with training ranging from a brief training on how to integrate mindfulness into a behavioral task within one session (Leyland et al., 2018; Lim & Qu, 2017) to attending workshops or training (Berti & Cigala, 2020; Haines et al., 2023; Jackman et al., 2019; Li et al., 2019; Poehlmann-Tynan et al., 2016; Viglas & Perlman, 2018; Wood et al., 2018; Zelazo et al., 2018) and practicing yoga and mindfulness themselves (Beattie, 2014; Flook et al., 2015; Razza et al., 2020). Thus, it may be more important that whoever implements the program should be well trained in the practice. However, the significant variability in how mindfulness is delivered across studies suggests that difference in delivery (e.g., instructor, duration, and frequency) is also an important factor in mindfulness-based interventions that has not yet been systematically explored with regard to the potential influence of EF in preschool. In a recent systematic review examining more broadly any type of yoga or mindfulness intervention and social-emotional learning, Sun et al. (2021) suggested that longer interventions across at least 6 weeks may have more favorable results for social emotional outcomes, though no conclusion could be made regarding the frequency of the intervention. Work systematically examining differential outcomes of interventions based on length, frequency, and delivery may be beneficial as work moves forward to better understand the best methods for delivery. This may be especially beneficial to consider as delivery may begin to expand to other methods including online and video-based instruction (e.g., Liu et al., 2024).
Given that the effects of instructor training did not produce differences in the effectiveness of mindfulness training on EF, this leaves open the possibility that the type of intervention or curriculum utilized may play a larger role in the differences we observed across studies. Of the studies that directly reported the use of a motor component within their mindfulness training, close to 70% found a significant effect for the mindfulness intervention (Beattie, 2014; Brann et al., 2022; Haines et al., 2023; Jackman et al., 2019; Lertladaluck et al., 2021; Li et al., 2019; Poehlmann-Tynan et al., 2016; Sexton et al., 2022; Shlomov et al., 2023). Therefore, despite the conclusions drawn by Diamond and Ling’s (2019) review, which found all mindfulness interventions that involved movement were significant, the results of this review remain promising. This difference in effectiveness for preschoolers may be due to how movement was utilized in the interventions. The studies from the present review did not typically provide information regarding how or what type of movement was used in the intervention. For example, all studies that utilized movement described the motor component briefly and related it broadly to yoga or a mind–body connection. Thus, the differences in the implementation of movement within and between interventions were often unclear. It is possible that differences in how movement was integrated into mindfulness interventions could have contributed to mixed results. For instance, although yoga can be considered a physical form of mindfulness (Diamond & Ling, 2019), modern approaches to its practice focus heavily on the physical postures, despite the traditional goal of yogic movements pertaining to understanding how the mind interprets and represents the sensation the body experiences while in the poses (Sullivan et al., 2018). It is possible that the studies that found a significant effect utilized movement in a more thoughtful manner (e.g., incorporating forms of conscious reflection onto the body while moving through postures, guiding fundamental movement skills). Thus, more details within mindfulness interventions on how movement was incorporated into mindfulness training and future research specifically focused on mindful movement are needed to better understand the role of movement in mindfulness practices for preschoolers.
Since not all the studies that resulted in an improvement to EF involved movement, there may be something additional to mindful movement that can aid EF at this age. However, at this point, it is difficult to fully understand how multiple elements of mindfulness training (and those specifically related to movement) could contribute to EF development. Part of this ambiguity could result from a lack of detail and theoretically driven descriptions of mindfulness interventions in the preschool literature. For example, it is possible that more studies involved movement within the intervention but did not directly state a movement component, as the mindfulness programs are often described broadly or refer to a multifaceted program with the potential of many factors that contribute to EF development (Leary & Tate, 2007). This may be due to how mindfulness practices have emerged as a broadly useful intervention within early education across several outcomes such as academic competence and socio-emotional development (Creswell, 2017). Although it is reasonable to conclude that mindfulness interventions could be useful to self-regulatory processes exhibited in EF, it may be beneficial for future work to focus narrowly on why and what specific aspects of mindfulness training could be useful to EF development based on current theories of EF development. For instance, in Papaleontiou-Louca and Thoma’s (2014) review of children’s metacognitive ability of introspection, they highlight the debate regarding preschoolers’ metacognitive abilities and suggest that while some theorists suggest great limitations at this age, there is also a great deal of evidence that children are developing introspective abilities and it is important to encourage this thinking disposition early to build a strong foundation in reflection. It is also important to note that a developmental perspective necessitates consideration of what practices are age-appropriate for preschoolers (e.g., sitting meditation may be inappropriate for younger children due to limited attention span and developing metacognition, Greenberg & Harris, 2012). Thus, a more detailed examination of the specific practices, whether they are age appropriate in practice (e.g., involving familiar tasks like sensory awareness and simple movement) and theory (e.g., align with current attentional and metacognitive abilities), may be useful to understanding the mixed results in the mindfulness and EF literature.
Finally, another important factor that could influence the impact of mindfulness interventions on EF is the amount of time dedicated to the intervention. The mindfulness interventions of the reviewed studies ranged from single sessions (Leyland et al., 2018; Lim & Qu, 2017) to 12-week programs (Haines et al., 2023; Poehlmann-Tynan et al., 2016; Razza et al., 2020). Generally, the results did not seem to indicate that differences in mindfulness intervention effectiveness are due to the time dedicated to the intervention, as the effectiveness ranges from 50 to 67% effective except for the 8-week session that only had one data point. This may align with the call for theoretically driven mindfulness interventions with EF work, as it is not necessarily the amount of time that is dedicated to the intervention but what is done in the intervention that likely influences results.

Study Characteristics

Lastly, it is important to consider how potential differences in the sample may relate to the effectiveness of mindfulness interventions on EF within our review. Overall, results do not suggest that there is a particular group that benefits from mindfulness interventions targeting EF. For example, the studies that found a significant effect of mindfulness did so with preschoolers from a variety of backgrounds (e.g., lower SES). This finding provides additional support for existing research suggesting children from lower SES may especially benefit from EF interventions, possibly because children from lower SES experience changes in neural pathways associated with EF due to heightened exposure to stress hormones early in life (Masten et al., 2012; Mezzacappa, 2004; Noble et al., 2005). Due to the dual ability to reduce stress and improve EF, mindfulness may be particularly beneficial for individuals from lower SES samples (Blair & Raver, 2015; Zelazo & Lyons, 2011). In addition, the significant effects of mindfulness interventions were not confined to samples with lower SES, as studies that did not specify SES as an inclusion criterion also found effects of mindfulness interventions on EF (Beattie, 2014; Berti & Cigala, 2020; Brann et al., 2022; Haines et al., 2023; Li et al., 2019). Finally, there is evidence that mindfulness training could be a potential tool for improving EF across contexts, as the present review revealed significant mindfulness effects on EF across the four continents present in the current review. Thus, these findings provide promising evidence for an EF intervention that benefits young children across contexts.

Possible Connections between Mindfulness Interventions and EF Theory

In sum, the results from the present study indicate that the efficacy of mindfulness training in preschool is equivocal; thus, more work is needed given the ambiguous results. One potential theoretical approach that may prove useful for clarifying results are representational approaches of EF that focus on the development of representational abilities during the ages of 3 to 5.00 years (Homer & Hayward, 2008). For example, several representational perspectives (Cunningham & Zelazo, 2007; Marcovitch & Zelazo, 2009; Zelazo, 2004, 2015) would suggest that the key to stronger EF and more regulated behaviors lies in the ability to create, maintain, and reflect on task-relevant representations to guide behavior (Zelazo, 2004). Research supports this approach, as stronger linguistic representational abilities and the encouragement of linguistic representation within EF tasks typically result in better performance (Doebel et al., 2018; Jacques & Zelazo, 2005; Kirkham et al., 2003; Miller & Marcovitch, 2015; Vygotsky, 1986). Furthermore, encouraging reflection also contributes to stronger EF (e.g., providing a period of reflection or pause before responding to a task; Ling et al., 2016).
Recently, proponents of representational accounts have proposed mindfulness interventions as particularly useful for improving self-regulation and EF. From a representational framework focused on social cognitive neuroscience (Zelazo & Lyons, 2011), the ability to regulate behavior is shaped by the more commonly studied top-down cognitive processes involved in control (e.g., shifting, inhibiting, and holding information in mind; Miyake et al., 2000) and less frequently acknowledged bottom-up arousal-based functions (e.g., stress, anxiety; Zelazo & Lyons, 2012). Zelazo and Lyons (2011) suggest that mindfulness practices, which emphasize the practice of focusing and reflecting on attention at the moment without judgment, can benefit both of these types of processing. For top-down processes, the very definition of mindfulness involves encouraging representation and reflection. Errors typically occur when individuals act on “autopilot,” failing to override more habitual or prepotent thoughts and actions that conflict with a current goal. Practicing mindfulness in these situations should encourage individuals to switch out of autopilot, identify their focus at the time, and reflect on that attention within the current context. Mindfulness interventions, which incorporate yoga, may be particularly helpful, as mindful yoga provides practice with an additional modality (i.e., movement) for individuals to practice representation and reflection. As this perspective also encourages the identification and reflection on experiences more broadly, consideration of more bottom-up processes in affect (e.g., negative emotions, desire, or stress that may move one’s attention to the immediate snack) would be encouraged as well (Zelazo & Lyons, 2011). Thus, these more universal effects of mindfulness across participants and study characteristics seem to align with broader representational frameworks suggesting that EF is a universal cognitive development that may be strengthened by guiding children to consider, focus, and reflect on the relevant information at hand.
Future research informed by representational frameworks and developmental EF theory may be useful in better understanding the complex interaction between mindfulness and EF and the potential for mixed results. For example, most works examining mindfulness interventions on EF focus on large intervention programs with EF measures taken before and at the end of the intervention. Although informative, a structured single-study experimental work may be useful in targeting what elements of mindfulness training benefit EF and when. Studies informed by a representational EF framework could focus on many different elements. For one, it may be useful to focus on measures of reaction time in addition to accuracy to see if mindfulness interventions successfully encourage reflection that may be indicated by a slowing down of response time in addition to accurate responses. Additional measures of language or related representational abilities could help inform general development in underlying representational mechanisms expected to guide EF. Representational frameworks would also suggest an emphasis on narrowing in on what elements of mindfulness training may be useful to EF and how this may shift by context. For instance, several theories break down mindfulness into two interrelated components related to focus or self-regulation of attention (e.g., voluntary focusing and sustained attention) and open monitoring or orientation to experience (e.g., nonreactive awareness of current experience; Bishop et al., 2004; Holas & Jankowski, 2013). From a developmental and representational standpoint, it would be useful to examine or separate the different elements of mindfulness training that focus on these components (e.g., some elements of training may teach children strategies for how to focus and sustain attention, whereas others may teach children how to monitor and be aware of their experiences without judgment). It is possible that the ability to perform some of these skills develop later (e.g., orientation to experience or open monitoring may require more metacognition and emotional control; Jankowski & Holas, 2014, which may be difficult for preschool-age children). In addition, these skills may be differentially beneficial for different EF tasks (e.g., mindfulness skills in self-regulation of attention may be particularly useful in tasks requiring sustained attention and cognitive flexibility, whereas mindfulness skills in orientation to experience and open monitoring may be useful to delay tasks requiring motivation and affect). More work examining mindfulness intervention effects from developmental and representational models of EF may be informative to better understand these mixed findings in the current literature.

Limitations and Future Directions

In conclusion, the results of this scoping review indicate that roughly half of the reviewed studies provide evidence for mindfulness as a promising avenue for EF intervention. However, the knowledge drawn from the present review is limited given the mixed findings and potential publication biases related to the reliance on published studies. Furthermore, it is important to note that the descriptive approach is limited by its inability to consider the sample size when interpreting effects across studies, lack of exploration of the risk of bias across studies, and limited descriptions of interventions in the original articles (e.g., who delivered, stated intervention, time dedicated). Future work evaluating variability in intervention quality and risk of bias within studies will be important to study as research on the impact of mindfulness in EF in preschoolers grows. However, this scoping review also suggests it may be premature to synthesize the data across studies at this time due to the use of multiple outcome measures and limited number of studies (Higgins et al., 2019; Mak et al., 2018; Saldanha et al., 2020). Although mindfulness-based work is currently being conducted with diverse samples across the globe, more work is also needed to systematically examine whether other factors like SES or culture moderate the effect of mindfulness on preschoolers’ EF.
This scoping review may also uncover knowledge gaps that can inform future studies and enhance our knowledge of the effect of mindfulness on preschoolers’ EF. Although all studies reviewed conducted a form of RCT, studies using similar designs and larger sample sizes could also be beneficial. While RCTs emphasize efficacy under controlled conditions, they may not fully capture effectiveness in naturalistic settings. A focus on RCT may fail to capture valuable insights from quasi-experimental designs or ecologically valid methodologies, which could provide additional information and a more comprehensive understanding of mindfulness interventions in diverse contexts. In addition, it may be beneficial for future studies to examine mindfulness intervention in more detail with multiple measures of EF incorporating various conceptualizations and methodological considerations. Moreover, future studies should include more detail regarding experimental design, including detailed descriptions of mindfulness-based interventions, participant sampling, and outcomes assessed.

Acknowledgements

We thank Dr. Andrew Hales at the University of Mississippi for his feedback on the review of this manuscript.

Declarations

Conflict of Interest

The authors declare no competing interests.

Ethics Approval

As this is a scoping review of existing literature, ethical approval from an Institutional Review Board (IRB) was not required.
As this study involves the review and analysis of existing published data, informed consent was not required.

Use of Artificial Intelligence

No AI tools were used in the course of this study.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

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Metagegevens
Titel
A Scoping Review of the Use of Mindfulness-Based Interventions to Improve Preschoolers’ Executive Function
Auteurs
Z. Reagan Pearce
Biju Rajbhandari
Alicia C. Stapp
Kenya E. Wolff
Stephanie E. Miller
Publicatiedatum
18-03-2025
Uitgeverij
Springer US
Gepubliceerd in
Mindfulness / Uitgave 4/2025
Print ISSN: 1868-8527
Elektronisch ISSN: 1868-8535
DOI
https://doi.org/10.1007/s12671-025-02546-3