Abstract
Emotion regulation (ER) research has, for decades, focused on mental health outcomes, such as emotional recovery and wellbeing reinstatement, in behavioral, physiological, and neural measures across different regulatory strategies. Although important, the practical significance of ER research should not only be limited to mental health, but also needs to consider aiding people’s real-time adaptive behavior, to meet varying environmental demands or goals flexibly. In this paper, we propose an idea of ER adaptiveness that pays equal attention to both mental health outcomes, and how an ER strategy may be used to facilitate functional adaptiveness in meeting distinct goals. For instance, research of ER adaptiveness needs to highlight how to design regulatory strategies for the purpose of promoting cognitive, behavior, or social functions (nonaffective goal) in addition to that of affective wellbeing, and how to help a learned strategy work flexibly in changing contexts (affective goal). Lastly, taking application in sport psychology for example, we propose potential directions of how ER adaptiveness research may help participants to improve motor performance in competitive sports.
Keywords: emotion regulation adaptiveness, mental health, adaptive behavior, sport psychology, motor performance
Starting from the initial proposal of a process model of emotion regulation (ER) (Gross, 1998; Gross and John, 2003; Gross and Thompson, 2007), there has been research interest from psychologists, cognigtive neuroscientists, and the broader scientific community on the consequences and mechanisms of ER in the last few decades. The psychoradiology of ER, such as using electroencephalography, physiological, or neuroimaging approaches to quantify the emotional consequences of regulatory strategy use, for example the use of distraction, cognitive reappraisal, or expressive suppression, have been intensely studied. In particular, the comparison of affective outcomes across different strategies has consistently remained in the spotlight of the field over the long term, receiving widespread attention. In early functional neuroimaging and physiological studies, researchers compared the use of instructed cognitive reappraisal with that of expressive suppression in multiple scales, including experiential emotion, peripheral physiological recordings, behavior of facial expression, prefrontal, insula, and amygdala activations as well as the time course of these neural structures, noting an advantage of cognitive reappraisal in decreasing emotional feeling, emotion-related sympathetic activation, and neural activations within affective neural circuits (Gross, 1998; Goldin et al., 2008; Buhle et al., 2014). Later, behavioral and eletrophysiological studies, using late positive potential as a key indicator, compared multiple strategies in the efficacy of unpleasant emotion regulation (Gallo et al., 2009; Paul et al., 2013; Yuan et al., 2015; Zhu et al., 2024). The results show a unique effect of expressive suppression in decreasing unpleasant emotion intensity or protecting mental health outcomes (e.g. depressive mood and hostibility) in German (Paul et al., 2013), Hong Kong and Mainland Chinese individuals (Soto et al., 2011; Yuan et al., 2015), but not in European Americans (Butler et al., 2007; Soto et al., 2011), while the use of distraction resulted in favorable regulatory effects across Chinese and European cultures (Paul et al., 2013; Li and Yuan, 2018). More recently, researchers of interpersonal ER have compared the efficacy of ER in improving affective outcomes between cognitive reappraisal and expressive suppression, in multiple measures from neural network analysis based on functional magnetic resonance imaging (fMRI) data to heart-rate synchrony and experiential measures (Liu et al., 2023; Wang and Shi, 2025).
On the other hand, in the past two decades researchers have also focused on automatic/implicit ER, either from the perspective of habitual use of a specific strategy or automation of strategy use by means of priming (Braunstein et al., 2017). This line of research aims at achieving emotion-regulatory goals without much cognitive depletion, and thus has important implications for affective rehabilitation in populations with impaired cognitive control functions (e.g. depressive patients). For the former, the links between the habitual use of a strategy (e.g. cognitive reappraisal and expressive suppression) and mental health outcomes (e.g. life satisfaction, self-esteem, or depressive symptoms) were regularly established based on questionaire reports (Gross and John, 2003; Soto et al., 2011; Gao et al., 2018). Then, regression models across these measures were established to determine the consequences of spontaneous use of a strategy on mental health outcome in the absence of effortful cognitive resource involvement, after controlling for other potential confounders. For instance, Gross and John (2003) illustrated that habitual use of reappraisal is linked to improved self-esteem, greater life satisfaction, and decreased depresive symptoms. For the latter, the goal of strategy use is often repeatedly primed prior to the exposure to emotionally evocative tasks/scenes, for the purpose of decreasing emotional reactivity without engagement of additional cognitive resource consumptions (Williams et al., 2009). Commonly used priming procedures include a sentence unscrambling task (Mauss et al., 2007; Williams et al., 2009), a synonym matching task (Wang and Li, 2017), explicit ER strategy training (Christou-Champi et al., 2015), or establishement of emotion-regulatory implementation intention (Gallo et al., 2009, 2012; Huang et al., 2020). A recent study showed that automatic reappraisal is in particular suitable for emotional reinstatement in patients diagnosed with major depressive disorder (Yuan et al., 2023), a population characterized by impaired executive control and frontal–parietal network functions (Joormann and Vanderlind, 2014; Li et al., 2024).
Despite the vital role of ER in mental health protection, ER studies should not be restricted to aspects of mental health outcome, which highlights emotional reinstatement and affective wellbeing (Harkness, and Hayden, 2018). Instead, in real-life settings, it is more important for ER research to serve the increase in adaptive functions, allowing individuals to meet varying enviornmental demands or personal goals flexibly across different contexts (Aldao et al., 2015). For example, in work settings, the use of suitable ER strategies to maintain emotional stability is, of course, important, which is a prerequisite to avoid emotion-triggered self-depletion and to focus limited resources on the stressful task at hand. However, what matters more, when we estimate the efficacy of a specific strategy, is whether the application of a given strategy can help us achieve the comprehensive optimal effects of emotional wellbeing and daily functions, such as increasing internal cognitive functions and external working performance. This is the key of the concept of ER adaptiveness, which highligts adaptive function/behavior promotion in addition to emotional recovery and wellbeing increases, as a consequence of ER strategy use. A potential real-life prototype of this argument is that the ER adaptiveness of a police officer at work should not only be manifested by his/her effective regulation of their own emotions, but more importantly should also be assessed by their achievement of investigation goals via working memory operations, attention involvement, affective thinking, etc. Fortuately, there are a few studies that have incorporated this idea during investigation of emotion-regulatory consequences.
For instance, Gao et al. (2024) investigated how cognitive flexibility training reduced depressive symptoms by proposing two potential pathways, one a context-covaried strategy selection (resembling ER flexibility in strategy choice, Aldao and Mennin, 2014) and the other an adaptiveness to meeting diverse goals, wherein the higher goal adaptiveness is represented by the balanced optimal effects of emotional improvement and cognitive performance promotion (working memory) during alternating goals. The findings of this study showed that the training of cognitive flexibility reduced depressive symptoms through enhancing goal adaptiveness (but not strategy choice flexibility) during ER. A plausible reason for this result is that cognitive flexibility, as a core element of executive function, subserves both the generation of cognitive reappraisal and the operations of working memory (McRae et al., 2012; Gu et al., 2025). This suggests that we need to reconsider the design of regulatory strategies in order to realize multiple adaptive goals apart from emotional downregulation itself, such as seeking a shared component subserving both reappraisal-based emotional reduction and memory promotion as described above (Gao et al., 2024). In line with this idea, we recently examined how cognitive reappraisal may be used to curb impulsive retweeting behavior of unconfirmed cyber-news in addition to downregulation of news-triggered emotions. As we aim to increase ER adaptiveness in terms of curbing impulsive retweeting in addition to emotional suppresion, the design of a reappraisal strategy not just highlighted reinterpreting the online news in a positive manner, but also highlighted “the cause of the event being unknown” simultaneously in order to reach dual goals (Xiao et al., 2024).
Aside from applying ER to pursing dual or multiple adaptive goals, the concept of ER adaptiveness also needs to consider endeavors to increase the applicability of a learned strategy to diverse situations outside of learning contexts. This is important to human adaptiveness as strategy learning is limited while emotional contexts vary all the time. Moreover, an adaptive ER processs (high in ER adaptiveness), as indicated by its literal meaning, also consists of the component of ER flexibility (Aldao and Mennin, 2014), namely flexible choice and application of appropriate strategies as a function of context alterations, because the use of a fixed strategy is evidently maladaptive with context changes (Sheppes et al., 2014). In line with this theme, several studies have investigated ER strategy choice across different contexts, such as how strategy preference varies flexibly depending on contexts of distinct valence/motivational intensities, depicting a likelihood of flexibile ER to achieve a balance of emotional outcome and cognitive resource involvement (Shafir et al., 2015; Yang et al., 2022). Also, there has been an attempt to examine how a learned regulatory strategy can be widely applied to different emotional contexts for the purpose of ER resource saving, such as the effects of increasing the coverage of the goal and the design of a flexible reponse, when emotion-related implementation intention is involved (Huang et al., 2020). In brief, it seems promising to shift the focus on mental health outcomes to seeking optimal effects of emotional wellbeing and adaptive behavior promotion.
However, existing research on ER adaptiveness remains scarce. As noted above, studies involving both emotional reinstatement and adaptive function promotion are restricted to a number of limited dimensions, such as memory function, strategy use flexibility, or cognitive resource saving. In fact, the ideas of ER adaptiveness should also be applied to many domains, such as motor impulsivity control of how ER may help decrease impulsive action (Zhao et al., 2023) as a result of emotion reduction, social interaction of how ER may promote one’s social initiative together with emotional reinstatement, and promotion of creative thinking.
For instance, sport psychologists are interested in how ER may help players keep emotional stability and, more importantly, promote motor learning, motor control, and flexibile motor decisions during a sports match. This is an important field where the concept of ER adaptiveness should be applied. A few studies have examined the effects of ER on motor performance. For instance, Bresin et al. (2012) reported that the upregulation of hostility impaired motor control accuracy at low, but not high, levels of agreeableness, suggesting that personality should be considered in the examination of ER and motor control association. Also, Beatty et al. (2014) compared three typical ER strategies during a ballistic pinch grip task, during which participants were required to produce a targeted pinch force at 10% of their maximal voluntary contraction. The results showed that attentional deployment resulted in the slowest reaction time, largest rate of force production, and poorest performance accuracy, while expressive suppression reduced the rate of force production and increased performance accuracy relative to emotional expression and attentional deployment. Closer to the theme of this paper, Beatty and Janelle (2020) proposed in a review that current ER studies put the main emphasis on mental health rather than sports performance, which hinders the application of ER to the coordination and execution of motor actions, as well as the enhancement of motor performance. It is worth noting that in sports involving whole body aerobic movement such as tennis or table tennis, motor performance should be quantified by objective indicators, such as gait initiation velocity, stepping velocity, stroke force, ball velocity, spin rate, and placement accuracy. As such, ER is highly necessary during a competitive match, wherein how to implement fast ER and how this regulation may support optimal performance at crucial points are both of interest and warrant quantitative investigation.
As noted above, suitable updating of a strategy design may help to realize dual goals as characterized by ER adaptiveness (Xiao et al., 2024). Therefore, to use the concept of ER adaptiveness for improvement of motor performance, we need to consider dual goals in the design of sports-related ER strategies. For example, we may highlight setting the ER goal of calmness, which counteracts competitive stress and anxiety, and the ways to reach it by linking potential stressors (e.g. setback) to an adaptive strategic response (e.g. positive self-talk and concentration) prior to the match. This method has proven effective in producing long-lasting automatic ER effects, without additional cognitive costs during actual stressor onset (Chen et al., 2021; Li et al., 2025). However, to maximally focus on the match itself, a player just needs to use positive self-talk and attend to the current moments during the match, without rethinking about the goal, whose online pursuit depletes limited resources and thus impairs self-regulation (Vohs et al., 2009). In this regard, future studies of ER adaptiveness in sport psychology should attach primary emphasis to the optimal effects of emotional wellbeing and motor/sports performance through designing regulatory strategies in accordance with contextual demands.
Acknowledgements
Dr Jiajin Yuan was funded by the National Natural Science Foundation of China (NSFC31971018), the Humanity and Social Science Foundation of the National Ministry of Education (24XJA190003) and Sichuan Outstanding Young Scholar Foundation (2023NSFSC1938).
Contributor Information
Tingting Wu, College of Physical Education, Xihua University, Chengdu 610039 Sichuan, China.
Jiajin Yuan, The Laboratory for Affect Cognition and Regulation (ACRLAB), Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China.
Author contributions
Tingting Wu (Investigation, Writing – original draft, Writing – review & editing), and Jiajin Yuan (Conceptualization, Funding acquisition, Investigation, Resources, Supervision, Writing – original draft, Writing – review & editing).
Conflicts of interest
None declared
References
- Aldao A, Mennin DS (2014) Emotion regulation in anxiety disorders. In: Emmelkamp P, Ehring T (eds). International Handbook of Anxiety Disorders: Theory, Research, & Practice (191-200), New York. [Google Scholar]
- Aldao A, Sheppes G, Gross JJ. (2015) Emotion regulation flexibility. Cogn Ther Res. 39(3):263–78. [Google Scholar]
- Beatty GF, Fawver B, Hancock GM et al. (2014) Regulating emotions uniquely modifies reaction time, rate of force production, and accuracy of a goal-directed motor action. Hum Mov Sci. 33:1–13. [DOI] [PubMed] [Google Scholar]
- Beatty GF, Janelle CM. (2020) Emotion regulation and motor performance: an integrated review and proposal of the Temporal Influence Model of Emotion Regulation (TIMER). Int Rev Sport Exercise Psychol. 13(1):266–96. [Google Scholar]
- Braunstein LM, Gross JJ, Ochsner KN. (2017) Explicit and implicit emotion regulation: a multi-level framework. Soc Cognit Affect Neurosci. 12(10):1545–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bresin K, Fetterman AK, Robinson MD. (2012) Motor control accuracy: a consequential probe of individual differences in emotion regulation. Emotion. 12(3):479–86. [DOI] [PubMed] [Google Scholar]
- Buhle JT, Silvers JA, Wager TD et al. (2014) Cognitive reappraisal of emotion: a meta-analysis of human neuroimaging studies. Cereb Cortex. 24(11):2981. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Butler EA, Lee TL, Gross JJ. (2007) Emotion regulation and culture: are the social consequences of emotion suppression culture-specific?. Emotion. 7(1):30. [DOI] [PubMed] [Google Scholar]
- Chen S, Ding N, Wang F et al. (2021) Functional decoupling of emotion coping network subsides automatic emotion regulation by implementation intention. Neural Plast. 6639739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Christou-Champi S, Farrow TF, Webb TL. (2015) Automatic control of negative emotions: evidence that structured practice increases the efficiency of emotion regulation. Cognition Emotion. 29(2):319–331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gallo IS, Keil A, McCulloch KC et al. (2009) Strategic automation of emotion regulation. J Pers Soc Psychol. 96(1):11. [DOI] [PubMed] [Google Scholar]
- Gallo IS, McCulloch KC, Gollwitzer PM. (2012) Differential effects of various types of implementation intentions on the regulation of disgust. Soc Cogn. 30(1):1–17. [Google Scholar]
- Gao W, Biswal B, Zhou X et al. (2025) The neural mechanisms subserving the adaptiveness of emotion regulation flexibility and its link to depression. J Affect Disord. 379:332–41. [DOI] [PubMed] [Google Scholar]
- Gao W, Chen S, Biswal B et al. (2018) Temporal dynamics of spontaneous default-mode network activity mediate the association between reappraisal and depression. Soc Cognit Affect Neurosci. 13(12):1235–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gao W, Yan X, Chen Y et al. (2024) Situation covariation and goal adaptiveness? The promoting effect of cognitive flexibility on emotion regulation in depression. Emotion. 25(1):18–32. [DOI] [PubMed] [Google Scholar]
- Goldin PR, McRae K, Ramel W et al. (2008) The neural bases of emotion regulation: reappraisal and suppression of negative emotion. Biol Psychiatry. 63(6):577–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gross JJ, John OP. (2003) Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J Pers Soc Psychol. 85(2):348. [DOI] [PubMed] [Google Scholar]
- Gross JJ, Thompson RA. (2007) Emotion Regulation: conceptual Foundations. In Gross J. J. (Ed.), Handbook of emotion regulation(pp.3–24.). The Guilford Press, New York. [Google Scholar]
- Gross JJ. (1998) Antecedent-and response-focused emotion regulation: divergent consequences for experience, expression, and physiology. J Pers Soc Psychol. 74(1):224. [DOI] [PubMed] [Google Scholar]
- Gu C, Guo M, Cui Y et al. (2025) Cognitive flexibility mediates the impact of emotion regulation strategies on negative emotions in preschool teachers. Front Psychol. 16:1609872. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Harkness K, Hayden EP (2018) Stress and emotion regulation: the dynamic fit model. The Oxford Handbook of Stress and Mental Health.Oxford University Press, Oxford. [Google Scholar]
- Huang X, Chen S, Gao W et al. (2020) Emotion regulation by implementation intention is generalizable to unspecified situations: the nature of the underlying goal matters. Acta Psychol (Amst). 210:103144. [DOI] [PubMed] [Google Scholar]
- Joormann J, Vanderlind WM (2014) Emotion regulation in depression: the role of biased cognition and reduced cognitive control. Clin Psychol Sci. 2(4):402–21. [Google Scholar]
- Li H, Yuan JJ (2018) The emotion regulation effect of unconscious distraction on the subclinical depression (in Chinese). Chin Sci Bull. 63(20):2057–70. [Google Scholar]
- Li Y, Dai J, Gao W et al. (2025) Sustainable regulation effects of implementation intention-based reappraisal on negative emotions: Longitudinal EEG evidence. Acta Psychologica Sinica. 57(9):1572. [Google Scholar]
- Li Y, Yan X, Meng X et al. (2024) Focus on the sex-specific neural markers in the discrimination of various degrees of depression. Psychoradiology. 4:kkae006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu Z, Lu K, Hao N et al. (2023) Cognitive reappraisal and expressive suppression evoke distinct neural connections during interpersonal emotion regulation. J Neurosci. 43(49):8456–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mauss IB, Cook CL, Gross JJ (2007) Automatic emotion regulation during anger provocation. J Exp Soc Psychol. 43(5):698–711. [Google Scholar]
- McRae K, Jacobs SE, Ray RD et al. (2012) Individual differences in reappraisal ability: links to reappraisal frequency, well-being, and cognitive control. J Res Personal. 46:2–7. [Google Scholar]
- Paul S, Simon D, Kniesche R et al. (2013) Timing effects of antecedent-and response-focused emotion regulation strategies. Biol Psychol. 94(1):136–42. [DOI] [PubMed] [Google Scholar]
- Shafir R, Schwartz N, Blechert J et al. (2015) Emotional intensity influences pre-implementation and implementation of distraction and reappraisal. Soc Cognit Affect Neurosci. 10(10):1329–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sheppes G, Scheibe S, Suri G et al. (2014) Emotion regulation choice: a conceptual framework and supporting evidence. J Exp Psychol Gen. 143(1):163–81. [DOI] [PubMed] [Google Scholar]
- Soto JA, Perez CR, Kim Y-H et al. (2011) Is expressive suppression always associated with poorer psychological functioning? A cross-cultural comparison between European Americans and Hong Kong Chinese. Emotion. 11(6):1450. [DOI] [PubMed] [Google Scholar]
- Vohs KD, Kaikati AM, Kerkhof P et al. (2009) Self-regulatory resource depletion: a model for understanding the limited nature of goal pursuit. In Moskowitz G. B., Grant H. (Eds.), The psychology of goals(pp.423–46.). The Guilford Press, New York. [Google Scholar]
- Wang Y, Li X. (2017) Temporal course of implicit emotion regulation during a Priming-Identify task: an ERP study. Sci Rep. 7(1):41941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang Y, Shi Y (2025) Interpersonal emotion regulation and physiological synchrony: cognitive reappraisal versus expressive suppression. Cognition Emotion. 39(3):663–74. [DOI] [PubMed] [Google Scholar]
- Williams LE, Bargh JA, Nocera CC et al. (2009) The unconscious regulation of emotion: nonconscious reappraisal goals modulate emotional reactivity. Emotion. 9(6):847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xiao C, Zhao S, Yuan J. (2024) Multi-dimensional evidence for the regulation of negative information dissemination by positive cognitive reappraisal. Acta Psychol Sin. 56(11):1471–87. [Google Scholar]
- Yan X, Gao W, Yang J et al. (2025) Neurophysiological mechanisms underlying the influence of motivational intensity on emotion regulation choice. Psychophysiology. 62(1):e14722. [DOI] [PubMed] [Google Scholar]
- Yang J, Yan X, Chen S et al. (2022) Increased motivational intensity leads to preference for distraction over reappraisal during emotion regulation: mediated by attentional breadth. Emotion. 22(7):1595. [DOI] [PubMed] [Google Scholar]
- Yuan J, Long Q, Ding N et al. (2015) Suppression dampens unpleasant emotion faster than reappraisal: neural dynamics in a Chinese sample. Sci China Life Sci. 58(5):480–91. [DOI] [PubMed] [Google Scholar]
- Yuan J, Zhang Y, Zhao Y et al. (2023) The emotion-regulation benefits of implicit reappraisal in clinical depression: behavioral and electrophysiological evidence. Neurosci Bull. 39(6):973–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhao S, Yuan R, Gao W et al. (2023) Neural substrates of behavioral inhibitory control during the two-choice oddball task: functional neuroimaging evidence. Psychoradiology. 3:kkad012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhu L, Fu T, Yan X et al. (2024) The neurophysiological effects of detached and positive reappraisal during the regulation of self-conscious emotions. Psychoradiology. 4:kkae017. [DOI] [PMC free article] [PubMed] [Google Scholar]
