Volume 34, Issue 1 e14558
ORIGINAL ARTICLE
Open Access

Mindfulness induction and executive function after high-intensity interval training with and without mindful recovery intervals

Rida A. Khatri

Rida A. Khatri

Department of Health Sciences, Purdue University, West Lafayette, Indiana, USA

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Nicholas W. Baumgartner

Nicholas W. Baumgartner

Department of Health and Kinesiology, Purdue University, West Lafayette, Indiana, USA

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Kyoungmin Noh

Kyoungmin Noh

Department of Health and Kinesiology, Purdue University, West Lafayette, Indiana, USA

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Sarah Ullrich-French

Sarah Ullrich-French

Department of Kinesiology and Educational Psychology, Washington State University, Pullman, Washington, USA

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Sara Schmitt

Sara Schmitt

Department of Special Education and Clinical Sciences, College of Education, University of Oregon, Eugene, Oregon, USA

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Chun-Hao Wang

Chun-Hao Wang

Institute of Physical Education, Health & Leisure Studies, National Cheng-Kung University, Tainan, Taiwan

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Shih-Chun Kao

Corresponding Author

Shih-Chun Kao

Department of Health and Kinesiology, Purdue University, West Lafayette, Indiana, USA

Correspondence

Shih-Chun Kao, Department of Health and Kinesiology, Purdue University, 201B, Lambert, 800 West Stadium Avenue, West Lafayette, IN 47907, USA.

Email: [email protected]

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First published: 16 January 2024

Abstract

Objectives

Determine the effect of incorporating mindfulness-based activities into the recovery intervals of high-intensity interval training (HIIT) on mindfulness induction and subsequent executive function performance.

Designs

A within-subject crossover trial.

Methods

Forty adults participated in two experimental conditions, including a 30-min bout of HIIT involving mindfulness recovery intervals (Mindful) and a 30-min bout of HIIT without mindfulness recovery intervals (Non-mindful), on two separate days in counterbalanced order. Before and after each condition, participants completed the flanker task, switch-flanker task, and n-back task to measure inhibitory control, cognitive flexibility, and working memory, respectively.

Results

A higher level of mindfulness state was observed following the Mindful condition than the Non-mindful condition. Dispositional mindfulness was positively correlated with the level of the mindful state only during the Mindful condition but not the Non-mindful condition. The switch-flanker response accuracy was improved from the pretest to posttest during the Non-mindful condition but remained unchanged over time during the Mindful condition. Time-related improvements in the flanker and n-back task outcomes were observed for both the Mindful and Non-mindful conditions and did not differ between conditions.

Conclusion

Although incorporating mindfulness-based activities during the recovery intervals of HIIT successfully led to greater state-related mindfulness, such a heightened mindful state did not correspond with additional modulation in inhibitory control and working memory performance while attenuating HIIT-related positive changes in task performance requiring cognitive flexibility.

1 INTRODUCTION

High-intensity interval training (HIIT), which consists of multiple short and intense exercise bouts interspersed by recovery intervals, is a time-efficient form of health-enhancing exercise1 that allows strategic variations for potentially maximizing exercisers' enjoyability.2, 3 Research shows that HIIT has short-term and long-term positive effects on executive function (EF),4 a set of higher-level cognitive processes that encompass inhibitory control, working memory, cognitive flexibility, and the optimization of goal-directed behaviors in adapting to changing environments.5 The EF gain during the recovery period following HIIT has been linked with temporal changes in arousal and its related neural mechansims (e.g., locus-coruleous norepinephrine system6). Such an acute effect can be observed thorughout the life span,7 including young adults who are at their peak of cognitive functioning,8-10 indicating HIIT as an effective strategy to enhance cognitive performance11 and learning12 while increasing physical activity and reducing sedentary time. However, the potential of HIIT for enhancing EF may not have been fully realized because most HIIT-based programs only focused on the intense exercise bouts, ignoring the great potential lost in the use of recovery intervals, which are typically passive and do not engage cognitive effort. This knowledge gap has hindered the understanding and the maximization of HIIT-induced EF gains, despite evidence indicating additional cognitive benefits from exercise when combined with cognitively engaging activity.13

Mindfulness is a cognitive activity that can be incorporated into the recovery intervals of HIIT. Mindfulness is a state of mind that enables an individual to be aware of the present in a nonjudgmental manner by regulating attention.14 Chronic mindfulness practices have been associated with superior arousal regulation and enhanced cognitive function.15, 16 Systematic reviews have provided evidence that weeks to months of regular engagement in mindfulness can improve attention and EF performance,15 presumably via modifying the underlying brain structures (e.g., anterior cingulate cortex) and network connectivity (e.g., default mode network).17 Recent meta-analyses have extended the EF-enhancing effect of mindfulness to the acute level,18 as intentionally achieving a state of mindfulness through performing acute bouts of attention- and breath-focused mindfulness practice can improve EF performance.19, 20

Although both HIIT and mindfulness have similar acute beneficial effects on EF,4, 19-21 the functional brain activation corresponding with these cognition-enhancing effects appear to be differential, as HIIT primarily influences the neural marker of processing speed (i.e., P3 of the event-related potential [ERP])6 while mindfulness affects neural activation (i.e., N2-ERP) related to conflict-related processing.20 Because the ability to resolve conflicting information with the presence of distractions and to quickly process behaviorally relevant information are important for the successful and efficient implementation of EF, interventions combining HIIT with mindfulness may enhance both processing speed6, 22 and conflict detection20, 23 during stimulus evaluation, maximizing the intervention effects on EF performance.

To date, only one study has investigated the feasibility and the speculated efficacy of such an integrated mind–body approach—mindful HIIT—for improving cognition. Through incorporating mindfulness-based breathing exercises and body scans during the recovery intervals of HIIT,24 findings from this study showed enhanced attention performance following mindful HIIT, though the attentional gain was less comprehensive compared with traditional HIIT without involving mindfulness. Specifically, decreases in all error types were observed following the traditional HIIT while the mindful HIIT condition only reduced the commission errors.24 Interestingly, such attenuated attentional benefit following mindful HIIT may be attributable to individual differences in dispositional mindfulness,24 as smaller attentional gains were found in individuals who scored lower on the non-reactivity facet of dispositional mindfulness. In line with the theory of depletion of self-control resources25 in the context of acute exercise,26 individuals possessing the nonreactivity trait may experience less depleted cognitive resources by disengaging the emotionally eliciting responses (i.e., discomfort and exhaustion) associated with physical exertion. As a result, more cognitive resources become available for implementing the mindfulness activities and speculatively achieving a higher mindfulness state during recovery, thus supporting the subsequent attention performance.24, 25 However, findings from this study were limited as it lacked the quantification of mindfulness induction, making it difficult to determine whether and to what extent the mindfulness state was achieved, whether the mindfulness state was related to individual differences in dispositional mindfulness and was different between the mindful and traditional HIIT, and whether the manipulation of mindfulness state contributed to cognitive changes following mindful HIIT.24

Accordingly, this study aimed to utilize a novel mindful HIIT protocol to induce mindfulness to determine the effect of mindfulness induction on subsequent EF by comparing EF performance following a mindful HIIT condition versus a non-mindful HIIT condition. It was hypothesized that performing mindfulness-inducing activities incorporated into the recovery intervals of HIIT would lead to a higher level of mindfulness state and that the magnitude of mindfulness state would be correlated with dispositional mindfulness. Given the potential complementary effects of HIIT and mindfulness on arousal regulation and neurocognitive function,6, 15, 16, 19, 20, 22 exercise-related changes in EF performance were hypothesized to be more positive following the acute bout of mindful HIIT compared with the HIIT that involves less of a mindful state during its recovery intervals.

2 METHODS

2.1 Participants

Forty young adults (22.0 ± 3.4 years, body mass index = 23.5 ± 3.9, female = 24) participated in this study approved by the Institutional Review Board at Purdue University in accordance with the Declaration of Helsinki. This sample size was determined because the previously reported effect size range (d = 0.44 ~ 0.61) regarding HIIT-induced gains in various EF domains8, 9, 27, 28 suggested at least 34 participants were sufficient to detect an assumed moderate size (d = 0.5, alpha = 0.05, power = 0.80) using a two-tailed paired t-test.

2.2 Cognitive control measures

PsychoPy29 (v2022.2.5) was used to administer the flanker task,30 switch-flanker task,31 and n-back task32 in a fixed order to measure inhibitory control, cognitive flexibility, and working memory, respectively. The flanker task required a button press corresponding to the directionality of a centrally presented arrow amid four flanking arrows pointing to the same or opposite directions for the congruent (<<<<< or >>>>>) and incongruent (> > <> > or < <> < <) trials, respectively.

Similar to the flanker task but using the task-switching paradigm,31 the switch-flanker task presented arrows that were inked in either white or yellow to manipulate the stimulus–response mapping that required flexibly switching between task rules (e.g., when arrows were inked in yellow, a button press corresponding to the opposite direction of the centrally presented arrow is required). Such a task design required a greater demand on cognitive flexibility during switch trials occurring when the color of the current trial changed from the preceding trial than non-switch trials when the color of the current trial did not change from the preceding trial.

The n-back task contained a sequence of stimuli and each stimulus presented a single arrow randomly pointing to one of the four directions (up, down, left, and right). Participants had to press a button when the current stimulus matched the one from n-number of steps earlier in the sequence (i.e., target) and press another button when the current stimulus did not match the one from n-number of steps earlier in the sequence (i.e., nontarget).

Participants completed one block and two blocks of 96 trials with equiprobable congruency, directionality, and/or switching, for the flanker and switch-flanker tasks, respectively. The n-back task included the two-back and then the three-back tasks, with each including one block of 48 nontarget and 24 target trials. The stimuli were presented for 200 ms during all tasks while the intertrial interval was set as 1500 ms for two flanker tasks and 2000 ms for the n-back task. Fifteen practice trials were given for each task. For statistical analysis, mean response time (RT) and accuracy (ACC), RT interference score (incongruent–congruent), ACC interference score (congruent—incongruent), RT switching cost (switch—non-switch), ACC switching cost (non-switch—switch), and d-prime (hit rate [correctly identifying a target as a target]—false alarm rate [incorrectly identifying a nontarget as a target]) were calculated after removing outlier trials (response times above/below 3SD) and observations (response accuracy <50% for flanker [0%] and switch-flanker tasks [0.3%] or d-prime <0 for n-back task [4%]).

2.3 HIIT interventions

The HIIT intervention conditions employed a 30-min treadmill-based protocol that started with a 4-min warm-up (1-min walk and 3-min jog at 65–76% HRmax [208–0.7*age]),33 then a 24-min main exercise, and finally a 2-min cool-down. The main exercise consisted of 4 × 3-min running intervals at 77%–85% HRmax separated by 4 × 3-min walking recovery intervals. A computer monitor that was temporally synchronized with the HIIT protocol was displayed in front of the participant to provide visual cues for mindful and non-mindful activities during the recovery intervals of the main exercise.

2.3.1 Mindful HIIT condition

During the recovery intervals of HIIT, participants were presented with visual cues designed to induce mindfulness through engaging in paced breathing (e.g., Take some deep breaths, focus on the quality of the breath in and out. Breathe in a rhythmic pace that feels comfortable) and controlled attention for body scan (e.g., Just notice, without reacting or evaluating. Start by paying attention to your heartbeat. Bring your awareness to these responses at the current moment).

2.3.2 Non-mindful HIIT condition

During the recovery intervals of the HIIT condition, participants were presented with visual cues to reflect on their running performance during the preceding exercise interval and evaluate their somatic responses (e.g., Are your muscles adequately tired or exerted? Did you work hard enough? Do you think you could work harder? How do you think your effort compares to other people's?). The non-mindful condition was designed to be cognitively engaging while minimizing a mindful state by directing participants' attention to previous exercise experiences and evaluative thoughts on exercise-related exertion.

2.4 Procedure

Using a within-subject crossover design, participants completed two counterbalanced conditions on separate days (mean days between conditions = 10.0 ± 14.0 days,* mean time of day difference = 0.7 ± 1.9 h). Participants completed three cognitive tasks before and 5-min after the assigned HIIT intervention. Ratings of perceived exertion (RPE) was administered after each exercise interval.34 Immediately after the cessation of exercise, participants completed the State Mindfulness Scale for Physical Activity 2 (SMSPA-2) and Physical Activity Enjoyment Scale (PACES). SMSPA-2 is a validated 15-item, 5-point Likert scale (0–4), to measure exercise-induced state mindfulness35 and PACES is a 18-item instrument that measures exercise-related enjoyment,36 with higher scores indicating higher levels of state mindfulness and enjoyment, respectively. During the first laboratory visit, participants also measured their height and weight, and completed the Five Facet Mindfulness Questionnaire (FFMQ) to measure dispositional mindfulness. FFMQ is a 39-item measure with a 5-point Likert scale (1–5) and a higher averaged score (3.2 ± 0.4 for the current sample) indicates greater ability to be mindful.37

2.5 Statistical analysis

To confirm the manipulation on the exercise and mindfulness as well as to compare enjoyment, a paired t-test was used to examine the difference in HR, RPE, SMSPA, and PACES between conditions. Pearson correlation was conducted to determine the associations between FFMQ and SMSPA to confirm the assumption that dispositional mindfulness is related to the ability to use the mindfulness-based recovery intervals to achieve mindfulness states.

Response accuracy and time related behavioral outcomes were analyzed using a 2 (Condition: Mindful vs. Non-mindful) × 2 (Time: pre vs. post) × 2 (Trial: congruent vs. incongruent for flanker tasks, 2-back vs. 3-back for n-back task) univariate multilevel model including random intercept of Participant and Participant by within-subjects main effect interactions. Switch (non-switch vs. switch) was included as an additional within-subject factor for analyzing outcomes from the switch-flanker task. When examining the interference scores or switching costs derived from the flanker and switch-flanker tasks, the Trial or Switch within-subject factor was removed from the analysis. Analyses included FFMQ as a covariate and were performed using the lme4,38 lmerTest,39 and emmeans40 packages in RStudio (v 1.3.1093) with Kenward-Roger degrees of freedom approximations. The multilevel model was utilized to allow the inclusion of participants with missing data and to avoid biased estimates. Analyses were conducted with α = 0.05 and using Benjamini-Hochberg false discovery rate for multiple comparisons. Effect sizes were reported using partial eta-squared (ηp2) and Cohen's dz.41

3 RESULTS

3.1 Psychophysiological response outcomes

As shown in Table 1, higher SMSPA scores were reported following the Mindful than Non-mindful condition while no difference in other measures was observed. FFMQ scores were positively associated with SMSPA scores for the Mindful condition (r = 0.38, p = 0.015) but not for the Non-mindful condition (r = 0.18, p = 0.268) (Figure 1A).

TABLE 1. Mean and standard deviation of psychophysiological responses to exercise by condition and statistics of between-condition differences in these psychophysiological responses.
Measure Mindful Non-mindful Paired t-test
RPE 12.2 ± 2.1 12.2 ± 2.4 t = 0.1, p = 0.458, dz = 0.02
HR%ExerciseInterval 81.7 ± 2.1 81.4 ± 2.2 t = 1.2, p = 0.246, dz = 0.19
HR%RecoveryInterval 59.5 ± 6.3 59.2 ± 6.1 t = 0.5, p = 0.600, dz = 0.08
SMSPA 2.7 ± 0.5 2.4 ± 0.6 t = 3.1, p = 0.004, dz = 0.49
PACES 93.5 ± 18.0 91.9 ± 18.6 t = 0.8, p = 0.448, dz = 0.12
Details are in the caption following the image
(A) Correlations of dispositional mindfulness with the state mindfulness by condition. (B) Response accuracy collapsed across trial types during the switch-flanker task by condition and time.

3.2 Executive function outcomes

Table 2 shows all statistically significant effects. Only significant effects involving the Condition main effect, Time main effect, or Condition × Time interaction were reported in text.

TABLE 2. Summary table for the univariate multilevel model analysis on cognitive outcome measures.
Measure Effect df F p η p 2
Flanker task
ACC Time 1,39 19.6 < 0.001 0.072
Congruency 1,39 69.3 < 0.001 0.214
Condition × Congruency 1,39 6.3 0.013 0.024
Time × Congruency 1,39 18.7 < 0.001 0.069
RT Congruency 1,39 203.1 < 0.001 0.469
ACC interference Condition 1,39 4.7 0.037 0.038
Time 1,39 17.1 < 0.001 0.126
RT interference Time 1,39 9.2 0.003 0.073
Switch-flanker task
ACC Time 1,39 14.7 < 0.001 0.029
Congruency 1,39 12.3 < 0.001 0.024
Condition × Time 1,39 17.8 < 0.001 0.035
RT Time 1,39 14.1 0.001 0.029
Congruency 1,39 73.3 <0.001 0.135
Switch 1,39 9.4 0.004 0.020
Congruency × Switch 1,39 14.3 <0.001 0.029
RT interference Condition × Time 1,39 5.6 0.020 0.043
N-back task
ACC Time 1,39 20.7 < 0.001 0.038
Back 1,39 33.9 < 0.001 0.060
RT Time 1,39 48.2 < 0.001 0.087
d-prime Time 1,39 18.9 < 0.001 0.079
Back 1,39 22.7 < 0.001 0.093

3.2.1 Flanker task

Analysis on ACC showed a Time main effect, with higher ACC at the posttest than pretest (98 ± 2% vs. 97 ± 2%, dz = 0.69). This effect was superseded by a Time × Congruency interaction, with a time-related increase from pretest to posttest for incongruent (95 ± 3% vs. 97 ± 3%, dz = 0.96) but not congruent (99 ± 2% vs. 99 ± 2%, dz = 0.02) trials. The Condition × Congruency interaction was observed, with the Mindful condition showing greater ACC than the Non-mindful condition for incongruent (97 ± 3% vs. 96 ± 3%, dz = 0.43) but not congruent trial (99 ± 2% vs. 99 ± 2%, dz = 0.07). Analysis on interference scores showed significant Time main effects for both ACC and RT interference scores, with the posttest showing smaller interference scores of ACC (2 ± 2% vs. 4 ± 3%, dz = 0.65) and RT (35 ± 16 ms vs. 42 ± 20 ms, dz = 0.47) than the pretest. There was also a Condition main effect for ACC interference scores, with the Mindful condition showing a smaller ACC interference score than the Non-mindful condition (2 ± 3% vs. 4 ± 3%, dz = 0.34). No other effect involving Condition or Time was found for ACC, RT, and their interference measures.

3.2.2 Switch-flanker task

Analysis on ACC showed a Time main effect that was superseded by a Condition × Time interaction. Decomposition of this interaction showed increased ACC from pretest to posttest (90 ± 8% vs. 94 ± 7%, dz = 0.84) for the Non-mindful condition while no change in ACC was observed between pretest and posttest (91 ± 8% vs. 91 ± 8%, dz = 0.19) for the Mindful condition (Figure 1B). Analysis on RT showed a Time main effect, with posttest showing shorter RT (591 ± 67 ms vs. 604 ± 65 ms, dz = 0.59) than pretest. Analysis on RT interference scores showed a Condition × Time interaction, but the decomposition of this effect did not yield any significant effect. No other effect involving Condition or Time was found for ACC, RT, and their interference measures.

3.2.3 N-back task

The Time main effects were found for ACC, RT, and d-prime, with posttest showing higher ACC (73 ± 17% vs. 69 ± 15%, dz = 0.66), shorter RT (848 ± 99 ms vs. 789 ± 111 ms, dz = 1.08), and larger d-prime (2.47 ± 0.9 vs. 2.21 ± 0.9, dz = 0.63) than pretest. No other effect involving Condition or Time interaction was found.

4 DISCUSSION

This study comparing two HIIT protocols with and without mindfulness-inducing recovery intervals showed that the Mindful condition induced a greater level of state mindfulness than the Non-mindful condition. Further, dispositional mindfulness was positively correlated with the level of mindfulness state following the Mindful condition but not the Non-mindful condition. Despite the successful manipulation of mindfulness state, time-related changes in performance during the three cognitive tasks did not differ following the Mindful versus Non-mindful conditions, except for the time-related increases in performance accuracy during the cognitive flexibility task selectively following the Non-mindful condition. Contrary to the current hypothesis, these findings suggest that an increased mindfulness state did not correspond with additional modulation in inhibitory control and working memory and may have attenuated HIIT-related positive changes in task performance requiring cognitive flexibility.

The successful manipulation of the mindful state was confirmed by a higher score on SMSPA following the Mindful condition than the Non-mindful condition, indicating the modifiability of state mindfulness and the feasibility of utilizing the recovery intervals to provide additional mindfulness experiences. Importantly, this mindfulness-inducing effect was achieved without compromising the subjective and objective physical exertion and self-reported enjoyment. Though postexercise increases in mindfulness induction were reported in a previous study directing exercisers' attention to somatic sensations without judging them as positive or negative when engaged in aerobic walking,42 the current study was the first to replicate this similar effect by strategically delivering mindfulness during the recovery intervals of HIIT. Further, dispositional mindfulness was positively correlated with state-mindfulness after the Mindful condition but not the Non-mindful condition in which the manipulation of mindfulness was absent.35 These novel findings suggest that although the Mindful HIIT protocol accumulates both physical activity and mindfulness experiences, the level of mindfulness state resulting from this intervention may vary as the function of individual differences in the ability to be mindful.

Similar to previously reported acute benefits of HIIT to EF,4, 8, 9, 27, 28 performance during the flanker, switch-flanker, and n-back tasks improved from the pretest to posttest for both the Non-mindful and Mindful conditions. Such general time-related improvements in performance across EF domains and intervention conditions were consistent with cognitive enhancements commonly observed during the 1-h recovery period following exercise,24, 43 given that all cognitive tasks were completed at about 30 min after exercise ceased. These exercise-induced positive changes in EF outcomes may possibly result from the elevated arousal and associated increases in locus coeruleus norepinephrine activation, cerebral blow flow, circulating brain-derived neurotrophic factor (BDNF), and cerebral lactate metabolism.43

The exception of the general time-related EF change was the increase in ACC during the switch-flanker task for the Non-mindful condition but not the Mindful condition. This finding was similar to prior research showing that HIIT-induced enhancements in attention performance was attenuated when additional mindfulness-inducing instructions were used during the recovery intervals.24 Novel to the current study was the extension of this effect to performance outcomes during tasks requiring cognitive flexibility, suggesting that the positive change in this EF domain following HIIT may be hindered by incorporating mindfulness induction during the recovery intervals.

One explanation of this finding was that the mental state achieved during the Mindful condition may be less optimal for the subsequent EF performance. It is possible that providing explicit instructions to be mindful in the Mindful condition induced higher levels of state mindfulness at a cost of cognitive fatigue. That is, the novelty of the added mindfulness-inducing instructions to HIIT could contribute to a level of cognitive fatigue that was not favorable for subsequent cognitive performance. Indeed, research found impaired cognitive performance following aerobic exercise while performing cognitively demanding tasks compared with aerobic exercise alone.44 Interestingly, a state of heightened attention could benefit ideational flexibility and related underlying brain functional connectivity45 when combined with properly designed sensory-motor activities (e.g., Quadrato Motor Training). It is possible that the physical demand of the paced walking during the recovery intervals was too intense to be harmonized with the mindful-inducing activities, leading to higher levels of cognitive fatigue. Further, given that the switch-flanker task required cognitive processes not only involving the shift between different stimulus–response mappings, but also inhibition to perceptual interference, performance during this complex task may be particularly susceptible to cognitive fatigue.

The other potential explanation was the additional beneficial effect of instructions associated with the Non-mindful condition on cognitive flexibility. Although instructions used in the Non-mindful condition were designed to minimize mindfulness through directing participants' awareness away from the current experience and attentional focus toward judgmental thoughts, this approach could have engaged participants in reflective, self-assessing, evaluative processes that better prepared them to perform the subsequent EF tasks. This speculation was indirectly supported by research showing the positive associations of cognitive reflection with cognitive abilities46 and processes involving inhibition, shifting, and associated prefrontal activation.47 Whether the variation of instructions provided during the recovery intervals of HIIT could generate differential effects on subsequent cognition is a research question that has practical significance and requires future research to explore.

This study has several limitations. First, because a true control condition without HIIT and mindfulness induction was not included, it is impossible to eliminate the possibility that the observed time-related changes in EF outcomes may have resulted from a learning effect. Second, the Non-mindful HIIT condition was used as an active control condition to be contrasted with the Mindful condition in order to isolate the EF changes resulting from the manipulation of the mindfulness state. Because both conditions provided instructions during the recovery intervals, the between-condition EF differences observed in this study did not provide direct evidence that incorporating mindfulness-based recovery intervals into HIIT can generate differential cognitive effects compared with traditional HIIT protocols adopted in the existing literature. Lastly, the selective between-condition difference in time-related changes in ACC during the cognitive flexibility task could result from the fixed sequence of task administration. Taken together, future research is needed to include both passive (i.e., non-mindful sedentary) and active control conditions (i.e., HIIT-only, mindfulness-only) control to further isolate the unique contribution of HIIT and mindfulness to a specific EF domain.

5 CONCLUSION

The novel mindful HIIT intervention successfully resulted in a higher mindful state, but similar levels of exercise-related physical exertion and enjoyment, compared to HIIT without mindfulness-based recovery intervals. The observed increases in mindfulness induction may have an attenuating effect selectively on performance during subsequent tasks requiring cognitive flexibility but not tasks primarily involving inhibitory control and working memory. Despite the evidence that incorporating mindfulness into the recovery intervals of HIIT did not lead to additional positive changes in EF, these findings suggest the feasibility and time efficiency of the integrated mindful HIIT approach for increasing physical activity while providing opportunities for mindfulness experiences.

6 PERSPECTIVE

High-intensity interval training (HIIT) has become increasingly popular and is recognized as effective for improving various health outcomes and feasible for various populations and settings. Although HIIT is not necessarily the most preferred exercise type due to its high-intensity nature, there has been an ongoing effort in the field of sport and exercise science to systematically evaluate the use of HIIT for health promotion and to utilize data-driven and theory-based approaches to refine the existing HIIT protocols for optimal feasibility and efficacy. In line with such an effort, the current study took the first step to establish an innovative—yet feasible and effective—HIIT paradigm that delivers potentially health-enhancing mindfulness experiences. Through providing the first evidence that additional mindfulness induction following mindful HIIT can generate similar positive changes in inhibitory control and working memory but a smaller degree of such changes on cognitive flexibility compared with non-mindful HIIT, the current study opens a series of new research questions including, but not limited to, identifying strategies that maximize, individual difference factors that moderate, and neural mechanisms that cause the cognitive benefits of mindful HIIT as well as the long-term effects of engagements in mindful HIIT on cognition.

ACKNOWLEDGMENTS

This study was partially supported by the Ross-Lynn Research Scholar Program from the Purdue Office of the Executive Vice President for Research and Partnerships (OEVPRP).

    CONFLICT OF INTEREST STATEMENT

    The authors declare no conflict of interest.

    DATA AVAILABILITY STATEMENT

    The data that support the findings of this study are available from the corresponding author upon reasonable request.

    • * This large standard deviation was due to one participant completing the second condition 90 days after the first condition. Removing this participant did not change the results presented.
    • We conducted the traditional repeated measures ANOVA analyses on flanker (N = 40), switch-flanker (N = 39), and n-back (N = 39) tasks outcomes and showed similar findings compared with that from the multilevel model analyses.

    The full text of this article hosted at iucr.org is unavailable due to technical difficulties.