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The simultaneous use of Emotional suppression and Situation selection to regulate emotions incrementally favors physiological responses



Emotion regulation alters the trajectories of emotional responses and, when effective, transforms the emotional responses to help individuals adapt to their environment. Previous research has mainly focused on the efficiency of regulation strategies performed individually at a given time. Yet, in daily life, it is likely that several strategies are often combined. Thus, we question in this study the combinatorial efficiency of two emotion regulation strategies, Situation selection and Emotional suppression.


In a within-subject design, sixty-five participants were asked to implement either no strategy, Situation selection only, Emotional suppression only, or both strategies together (four conditions) while looking at various emotionally charged images. Experience, expressivity, and physiological arousal were recorded throughout the viewing. Repeated-measures ANOVAs and corrected post-hoc tests were used for analyzing the data.


The results of the combined strategies showed that Emotional suppression canceled the beneficial impact of Situation selection on negative experience, while significantly increasing the impact on cardiac activity. The use of both strategies together had a greater effect on respiratory function with an enhanced decrease in respiratory rate and amplitude.


The combinatorial effect of emotion regulation strategies is different according to the emotional response that the individual needs to regulate. The simultaneous use of Situation selection and Emotional suppression could be particularly beneficial to relieve physiological symptoms.

Peer Review reports


Emotion is a central aspect of psychological functioning, generally defined as a rapid psychological process leading to changes in behavior [1]. Emotion usually emerges following a situational trigger that is processed. It results in a set of experience, expression, and physiological arousal patterned responses, which help the individual adapt to the changing environment [2, 3].

Because of social display rules, personality, and individual preferences, a significant part of emerging emotional episodes are regulated [4]. Emotion regulation refers to “the processes by which individuals influence which emotions they have, when they have them, and how they experience and express these emotions” ([5, p. 275]). Emotion regulation alters the trajectories of the emotion responses and shapes the resultant affective reactions. Emotion regulation has been found to play a crucial role in healthy adaptation [6, 7] and efficient social functioning [8]. In contrast, difficulties in emotion regulation are associated with substance dependencies [9], anxiety and mood disorders [10,11,12,13], increased posttraumatic stress disorder [14], and personality related symptoms and pathologies [15,16,17]. Therefore, reaching functional emotion regulation is crucial in promoting individuals’ well-being and adaptation to the environment.

One influential model of emotion regulation is the Process Model of Emotion Regulation [18, 19]. It presents five typical strategies used at different times along the emotion generative process: Situation selection and Situation modification, which intervene before the emotional situation, Distraction and Reappraisal, which intervene simultaneously to the emotional situation, and Suppression, which modulates emotional responses once they have occurred. When questioning the relative efficiency of the different emotion regulation, strategies such as Reappraisal (i.e., changing the meaning of an emotional situation) or Suppression (i.e., modifying a behavior, mainly the emotion expressivity, to hide its manifestation) have drawn considerable attention. However, other strategies, such as Situation selection, have unfortunately received less consideration.

Situation selection “involves taking actions that make it more (or less) likely that we will end up in a situation we expect will give rise to desirable (or undesirable) emotions.” ([20] , p.11) (see also [21]). Situation selection was first considered as a unitary concept. However, it may operate through two different mechanisms [22]. The first one is related to the chosen situation: when comparatively evaluating the available options, people generally choose the one they expect to have the more pleasurable emotional outcomes [23, 24]. For example, if given the choice between calling a dear friend or doing some clean up, people will likely anticipate more positive emotions from the first situation. The consequence of Situation selection may here be due to the selected option being intrinsically more positive. In the second mechanism, Situation selection acts through the empowering action of making a decision about one’s own emotions. Thus, regardless of the options presented or selected, emotional responses to two identical situations might differ depending on whether the situation is chosen or not. For example, if on a chore list remains only “Paying the bills” (no other option to take instead), this activity will trigger more negative emotions than if, among the less pleasurable duties to perform, we select (Situation selection) “Paying the bills” instead of something else. This would be a consequence of Situation selection itself rather than a consequence of the intrinsic emotional value of the situation. A recent study in our lab examined this question by using a special within-subject protocol contrasting reactions to identical emotional stimuli under two different conditions: a) when a stimulation was chosen, and b) when the same stimulation was presented without any prior choice procedure [22]. Results showed that having the choice in negative situations decreased negative experience, skin conductance, and respiration reactivity, while enhancing expressivity and cardiovascular reactivity. In contrast, choosing a positive image before seeing it did not affect its positive value.

In the process model of emotion regulation, Situation selection operates before the situation occurs, allowing other emotions regulation strategies to be used together with Situation selection. In everyday life, individuals have at their disposal a wide range of emotion regulation strategies and it is likely that individuals combine them to cope with emotions. Indeed, 65% of participants watching a disgusting video clip are shown to use more than one emotion regulation strategy [25]. Moreover, across 10 emotional situations, between 78 and 92% of participants report using more than one emotion regulation strategy [26]. Finally, while looking to the extent to which participants combine instructed and uninstructed emotion regulation strategies, a study found that a significant proportion of participants reported using more than one emotion regulation strategy simultaneously [27].

Although the literature considers the combined use of emotion regulation strategies [28], there is still a lack of evidence of the potential interaction effect of multiple emotion regulation strategies implemented simultaneously. So far, research mainly focused on how much respondents use different single strategies [29,30,31]. This question is also related to the field of regulation flexibility, which assumes that strategies can be used in a sequential order (see e.g., [28, 32]). Our research, however, focuses on combined use efficiency rather than on percentage of respective use. We thus investigated the specific combined impact of different emotion regulation strategies on emotion responses. This study targeted the following question: “How does using two emotion regulation strategies at the same time rather than each of them separately influence their efficiency?”

To answer this question, we needed to test a regulation strategy that could be attempted simultaneously (i.e., for the same emotional situation) with Situation selection. One strategy that met this requirement was Suppression. We choose it for several reasons. First, Suppression is a well-studied strategy, with substantial empirical background on its efficiency. However, it has only been studied individually, never simultaneously to another strategy. Second, it is classically categorized as a maladaptive strategy. Indeed, apart from the expressive response, this strategy hardly relieves the experiential and physiological components of emotion [33], and even shows a rebound effect in physiological arousal [34, 35]. This is in direct opposition to what has been found for Situation selection. The effects of Suppression on emotional responses are however probably more complex. For example, some studies have reported no effect of Suppression on negative subjective experience [36,37,38], whereas others reported reduced levels of negative emotional experience [39, 40]. These differences can be attributed to different emotion induction methods, categories of emotions induced, types of Suppression, personality, emotional competences, gender, or the parameters considered (see e.g., [41,42,43,44,45,46]). A previous research with a similar design and population as in the present study used emotional pictures designed to rapidly generate negative or positive emotions. Results showed that Expressive suppression triggered stronger transient negative experience, strongly reduced expressivity, stronger decrease in heart rate, as well as reduced respiratory rate and amplitude as compared to reactions in absence of regulatory instructions [47]. Since effects of physiological and expressive suppression significantly overlap [47], and since we believe that Suppression does not only target expressivity, we decided to focus on general suppression, i.e., the complete emotional response suppression; whether expressive, experiential or physiological [48]. We named this strategy Emotional suppression.

In the present study, we investigated the single and combined effects of Situation selection and Emotional suppression in a within-subject design with a picture viewing paradigm. A picture-viewing paradigm is a protocol that uses pictures representing scenes able to induce different emotions of different intensities [49]. Pictures are presented to participants for a few seconds and the viewing launches emotional reactions. Pictures usually come from validated databases and are known to validly and reproducibly induce desired emotional states [50] and outcome valence (positive or negative, [51, 52]). Pictures were presented to elicit emotional processes in four different conditions: a) Unregulated, where neither Situation selection nor Emotional suppression were instructed, b) Situation selection only, c) Emotional suppression only, and d) Double regulation, during which both Situation selection and Emotional suppression were attempted for the same emotional event. Hypotheses were as follows:

  1. 1)

    Situation selection only: We expected similar results as previously highlighted [22]. Namely, Situation selection should result in reduced negative experience, unchanged positive experience, unchanged positive and negative expressivity, enhanced orienting effect for positive viewing, reduced skin conductance level for negative viewing and a decreased respiratory rate. These last two effects should occur particularly at the end of the recording period.

  2. 2)

    Emotional suppression only: We expected Emotional suppression to have similar effects as those repeatedly found in the literature. Namely, it should yield unchanged positive and negative emotional experience, a decrease in positive and negative expressivity, as well as respiration rate and amplitude, and a greater decrease in heart rate.

  3. 3)

    Double regulation: The combined effect of performing both Situation selection and Emotional suppression is harder to predict due to the lack of literature. We expected that emotional experience might be unchanged. Although Situation selection reduces negative experience, this effect could be canceled by Emotional suppression, which regularly fails to change experience. At the expressivity level, we expected reduction of positive and negative responses. Indeed, Emotional suppression is easy to achieve and shows marked effects on facial expression. There is no reason to believe performing Situation selection would interfere with such effect. Regarding physiological signals, we expected interaction, or at least additive effects for heart rate and respiratory rate. This would lead to a stronger decrease of these parameters than when each strategy is performed individually.



A power analysis with a power of 0.8 [53], with effect sizes derived from partial eta squares from previous similar studies (f = 0.20, see [22, 47, 48]), and α = 0.05, yielded a target sample size of 63 participants. To compensate for technical difficulties or participant drop-out, a sample size of 70 participants was targeted. We were able to recruit 69 participants, who came to the first session. Four of them were excluded, either because they did not meet one of the inclusion criteria (right-handedness, N = 1), because we experienced technical difficulties with our experiment (N = 2), or because of external interruption (fire alarm in the building, N = 1). Sixty-five participants thus fully participated in our study (32 males and 33 females). Participants were all either first year Psychology university students participating for course credits (N = 42), or other discipline first year students participating for the equivalent of $50 (N = 23). They were recruited during first year psychology courses or via advertisements posted on University information boards with a brief description of the project, without mention of emotion regulation. Participants’ age ranged between 18.4 and 32.4 years, with a mean of 21.1 years (SD = 2.37 years). Exclusion criteria were pregnancy, medication, and diagnosis of anxiety or mood disorder. Inclusion criteria were right-handedness, age between 18 and 45 years old, and general good health. Regarding health, participants were tested with the 12-Item Short-Form Health Survey (SF-12, [54]) and scored an average of 81.0% (SD = 9.1) of good health (100% being excellent mental, physical and social health). Since handedness may have an influence on emotion processing and physiological outputs [55, 56], all participants had to be right-handed. Handedness was measured thanks to the Edinburgh Handedness Inventory [57], which gives a score of − 100 for totally left-handed and + 100 for totally right-handed respondents. At this test, our sample had an average score of 74.08 (SD = 19.02).

Design and conditions

The experiment consisted of 10 blocks of pictures, each testing one of the four conditions described below.

  1. 1)

    In the Unregulated condition (2 blocks), participants were not given the opportunity to choose the upcoming image and were not instructed to suppress; they simply watched the pictures as displayed.

  2. 2)

    In the Situation selection only condition (3 blocks), operationalized as previously described [22] in a picture-viewing paradigm, the participants had to choose the image that will be presented to them. The options were given with category words stating possible image content. The selected image was presented 3.5 s after the choice was made. No instruction of suppression was given.

  3. 3)

    The Emotional suppression only condition (2 blocks) was investigated as a variant of expressive suppression investigated in previous studies [36, 37] and validated as general suppression in previous work [48]. In this condition, participants were asked to suppress both their emotional expression and their physiological arousal. Participants in this condition were not given the choice about upcoming images. To simplify the text, this condition will be referred to as Suppression.

  4. 4)

    In the Double regulation condition (3 blocks), participants were given the choice of the upcoming image (thus performing Situation selection) and were instructed to suppress during the viewing of the image (thus performing Suppression).

These conditions are shown in Fig. 1. All the conditions in which choice was not given were called ‘Imposed’ conditions (Unregulated and Emotional suppression only): participants were not given the opportunity to choose and were imposed to watch emotionally relevant negative and positive pictures. All the conditions in which a choice was given were called ‘Chosen’ conditions (Situation selection only and Double regulation condition): in these conditions, participants choose the upcoming emotional picture.

Fig. 1

Illustration of the four conditions for testing the impact of Situation selection, Suppression, or both. Each condition included positive and negative trials. A posteriori, all trials of a particular valence were analyzed separately for each of the four conditions. Each participant had a different distribution of images in each of the conditions due to semi-random assignment of pictures to the conditions. Emotional responses were compiled for each of the eight trial types (valence × chosen/imposed × suppression/no suppression) and analyzed during the 8-s duration of each trial. Please note that the images shown here are for illustration purposes and are not part of the GAPED. These images were taken from and are free of copyright

The number of stimuli per block were arranged such that each block had approximately the same duration. There were 24 trials for the ‘Imposed’ condition blocks and 16 for the ‘Chosen’ conditions blocks. The block presentation was semi-randomized to control for habituation and order effects, only restricting the randomness by prohibiting the presentation of the same condition in consecutive blocks.

Before the start of each procedure, half of the stimuli were randomly assigned to the Unregulated and Situation selection conditions, and the other half to the Suppression and Double regulation conditions. Each of the stimuli was shown twice to each participant: once in the corresponding ‘Chosen’ condition, and once in the corresponding ‘Imposed’ condition. The stimuli that were not chosen in the ‘Chosen’ conditions were not considered for analyses in the ‘Imposed’ conditions. This allowed to equate the content of the stimuli between conditions for each participant, and to attribute the differences to our manipulation, rather than to the intrinsic features of the stimuli.

Finally, the timing of emotional response development is important in describing emotional arousal unfolding [58, 59], particularly in response to pictures [60, 61], and when considering emotion regulation impact [22, 47]. We therefore also included a time factor in our design, as it may provide more information on the potential transient or delayed impact of the respective emotion regulation strategies.


Eighty seven images were taken from the Geneva Affective Picture Database (GAPED, [62]), which gathers negative and positive stimuli that can be included in different categories with labelled content. Having an available label for each picture category is crucial for operationalizing Situation selection, as it allows participants to make a choice based on written descriptors of the upcoming situations. The images of the negative category consisted of four content types: spiders, snakes, animal mistreatment and human mistreatment. These exact words were used as labels to offer a choice between categories in the ‘Chosen’ conditions. The positive images category also included four types of content: landscapes, human babies, mammals (usually offspring), and sport (inspirational) pictures. Since examples of the latter type of content are rare in the GAPED, we added nine pictures of sport/inspirational images from the International Affective Picture System (IAPS, [63]). The labels used to offer the choice for positive categories were “Landscape”, “Baby”, “Mammal”, and “Sport”. Of the final 96 pictures, 48 were negative and 48 were positive, with 12 pictures of each type of content. We presented emotional stimuli for eight seconds and examined participants’ emotional responses during this time-frame.


We measured three emotional responses, corresponding to the three main emotional systems: emotional experience, expressivity, and physiological arousal [64,65,66]. For each, we derived parameters that reliably reflect rapid emotion emergence, and which proved to be sensitive to both our induction method and emotion regulation attempts.

Emotional experience

Participants used a rating slider to report their emotional experience (Variable Assessment Transducer, Biopac Systems, Inc., Goleta, CA, USA). Measures were taken continuously throughout the picture presentation. The slider was unipolar with negative reports on the left side and positive reports on the right side. The output voltage (0-9 V) was extracted as is and converted into a negative scale and a positive scale (see below the Data Reduction paragraph for more details on the data transformation for analyses).


Expressivity was assessed by using bipolar surface electromyography (EMG). Electrodes were standard 4 mm Ag/AgCl sensors. Three EMG sites were recorded. Because of its reliable link to negative expressivity, left Corrugator Supercilii [49, 67] was the first targeted site. The left Zygomaticus Major, and the left Orbicularis Oculi were the two sites chosen for positive expressivity. The zygomatic region is generally used to measure positive expressivity, which motivated our choice to record this site. However, the zygomatic is not a completely direct measure of positive expressivity [67]. We thus decided to add a supplementary channel and to target Orbicularis Oculi, a region that is a reliable readout of Duchenne’s smile [68]. The electrode placement followed recommendations of Fridlund and Cacioppo [69]. The skin was first gently rubbed with NuPrep® gel (Weaver and Cie). Excess gel was then removed with alcohol pads (Kendall Webcol® skin cleansing alcohol pads, Tyco healthcare). Finally, the electrodes were filled with Signagel® (Parker Laboratories, Inc).


In order to tackle the different systems involved in autonomic reactivity, we measured cardiovascular, exocrine, and respiratory activities.

  1. 1)

    Electrocardiography (ECG): Three standard disposable pre-gelled Ag/AgCl electrodes were used for ECG recordings. One was placed approximately 5 cm below the lower rib on the left side of the abdomen. A second electrode was placed just below the right clavicle, along the mid-clavicular line. A third electrode, which served as a ground, was placed at the level of the C7 cervical vertebrae.

  2. 2)

    Electrodermal activity: Skin conductance level was recorded with two pre-gelled disposable Ag/AgCl sensors. They were placed on the thenar and hypothenar eminences of the non-dominant hand palm.

  3. 3)

    Respiration: Thoracic and abdominal respiration recordings were collected with two respiration belts. The abdominal belt was placed around the waist, whereas the thoracic belt was placed high on the chest.

All parameters were recorded and amplified with MP150 compatible modules from Biopac Systems (Goleta, CA, USA). All sensors were from the same company. All acquired channels were sampled at 1000 Hz.


Participation was divided into two sessions. In the first session, participants came in the laboratory and completed the SF-12 and the Edinburgh Handedness Inventory (see Participant section). They also completed other emotion-related questionnaires that served for another study. After checking right-handedness and absence of health-related issues, participants were invited to register for the second session.

About 11 days after the first session (average of 10.6 days, SD = 7.86), participants returned for the Emotion regulation task session. Upon arrival at the laboratory, participants were informed about the procedure of the experiment and prepared for the physiological recordings. All instructions were presented on screen. Participants were told that we were interested in people’s reactions to different scenes and that they would see different emotional images. The rating dial was introduced and we explained that the major task of the study was to report their feelings by moving the cursor while viewing each image. Some training trials were presented to familiarize participants with the rating system. They were then instructed about the Situation selection task. Instructions were as follow: “Sometimes in this session (in certain blocks), you will have the opportunity to choose yourself, from two options, the image you would like to see. Using the arrows on the keyboard, select the image category, then return to the slider and concentrate on your feelings to report them with the cursor.” The participants again performed a few training trials (with images that were not presented in the main session) in which they chose between two proposed options and reported their feelings when viewing the image. After this phase, participants were instructed about the Suppression task. Instructions were: “As you look at the images, you will realize that your face and body react to them. When you are asked to suppress your reactions, you should observe the image but NOT let the emotion affect your face and physiological reactions. Try to ensure that no one who would be looking at you, or at your physiological signals, can detect any changes in your face or body reactions.” Participants were again given some training trials for this task. Finally, they were informed that the experiment was divided into blocks, during which they would sometimes choose only, sometimes suppress only, sometimes both, and sometimes none of these, and that precise instructions about the task would be given before each block.

All participants saw blocks of images in the four conditions (see section above Design and conditions). Each participant completed the 10 blocks of trials, which were separated by a pause screen allowing participants to progress at their own pace from block to block. The 24 trials of the ‘Imposed’ blocks (both those with and without Suppression) were composed of 12 positive and 12 negative pictures, each with 3 images from each content category. ‘Chosen’ condition blocks (both those with and without Suppression) were generally composed of 8 positive and 8 negative pictures, each with 2 images from each content category. The last ‘Chosen’ block differed in the number of trials. This is due to the pairing procedure, the program exiting the last ‘Chosen’ condition block when it was no longer possible to couple unseen images of two different categories.

On average, participants performed 182 trials (range = 176–188), 48 in the Unregulated condition, 48 in the Suppression only condition, and on average 43 in each of the ‘Chosen’ conditions (Situation Selection and Double regulation conditions). All ‘Chosen’ blocks were thus of 16 trials except the last ‘Chosen’ block, averaging 6 trials. Each trial consisted of a blank screen (0.5 s), the choice screen (displayed until choice was made), a blank screen again (1.5 s), a fixation cross (1.5 s), a blank screen again (0.5 s) and the picture presentation (8 s). Under the ‘Imposed’ conditions (Unregulated and Suppression only conditions), the choice screen was replaced by the display of the category of picture to be presented (for 1 s). The computer session lasted approximately 55 min. The sensors were afterwards removed and participants were fully debriefed.

All participants gave written informed consent to participate in the study. The procedure was reviewed and authorized by the institutional and regional ethical committee (CER-VD, protocol 2015–00071), in accordance with the current national legal requirements (Ordinance on Human Research) and the latest version of the declaration of Helsinki.

Data reduction

All data were processed with Acknowledge 4.4 (Biopac System, Goleta, CA, USA). Some channels were band-pass filtered to increase the signal-to-noise ratio (20–500 Hz for EMG, 0.5–35 Hz for ECG, and 0.05–1 Hz for respiration). Channels were then manually scanned for movement or electric interferences, which were corrected by signal interpolation. To assess the temporal dynamics of emotional response unfolding, the continuous parameters were segmented into 16 epochs of 0.5 s each. In addition to the image presentation duration of eight seconds, which was fully taken into account, a 3.5 s epoch was calculated for each trial and each parameter, spanning from 3.5 s before the picture presentation to the time of the picture onset. Thus, each trial had this reference period, which was used to normalize the response and obtain relative change in the parameter following each picture presentation.

Emotional experience

Ratings were exported to obtain average values for each epoch. The initial cursor position was used as a reference to calculate emotion intensity. Any value below this position was considered as a negative feeling and any value above as a positive feeling. On this basis, ratings were transformed into an emotion intensity scale. The output was extracted in percentages, representing the distance travelled by the cursor between its 0 point and its extreme values on either side. Data for each of the valence sides thus go from 0 = absence of emotional experience once confronted to the picture to 100 = extreme emotion intensity.


The EMG signals were rectified and smoothed (5 Hz) before being averaged for each epoch. Given the wide variability in the contraction capacity of each individual, each EMG time-frame value was then expressed as the percentage of contraction with respect to the corresponding trial antecedent level (voltage recorded for a given time-frame / voltage recorded during the 3.5 s preceding the trial * 100) [70, 71]. Negative expressivity was measured with the Corrugator site values, whereas Positive expressivity was measured with an average of the reactions measured on the Zygomaticus and Orbicularis sites, given the high correlation found for these parameters, r (65)=0.56, p < .001.


Heart rate was calculated from the ECG channel by transforming the inter-beat interval (duration between successive R waves). Skin conductance level was exported as mean values for each epoch. Respiratory rate and respiratory amplitude were calculated for each epoch. The respiratory rate was obtained by converting the duration of the cycle intervals into a number of cycles per minute (c/min). The respiratory amplitude was interpolated by using the difference in volts between the point of maximum inspiration and the point of maximum expiration. Given the high correlations between thoracic and abdominal respiratory parameters (see “Result” section), the values of both sites were averaged. All response channel data were calculated as the change in activity with respect to each trial antecedent level.

Data analyses

We first computed the descriptive values for each parameter in the Unregulated condition, as a manipulation check of reactivity. We contrasted the distribution of affective experience with a 0-centered distribution to confirm induction of presumed positive and negative experience.

Two steps of analyses were then successively conducted for each parameter:

  1. a)

    To investigate the potential interaction effect between the two regulation strategies, we first conducted, for each parameter, an ANOVA with three within-factors: Situation selection (2 levels: ‘Imposed’ vs. ‘Chosen’ conditions), Suppression (2 levels: no instructed Suppression vs. instructed Suppression) and Time (16 epochs). Since contrasting positive and negative trials was not part of our research question, but since previous research has shown different emotions [72,73,74,75,76,77] and emotion regulation patterns [78,79,80] for positive and negative responses, separate ANOVAs were performed for negative and positive trials. Except for the main effect of Time, which is relevant to the response dynamic but not to our research questions, all effects were of interest: (i) the main effect of Situation selection, for evaluating the general effect of choice as compared to the ‘Imposed’ conditions, (ii) the main effect of Suppression, for evaluating the effect of Suppression, irrespective of whether a choice is made, (iii) both two-way interactions Situation selection × Time and Suppression × Time, particularly interesting to evaluate the temporal dynamics of each emotion regulation strategy, (iv) the two-way interaction Situation selection × Suppression, to evaluate the potential combined effect of both strategies, irrespective of time, and finally, (v) the three-way interaction.

  2. b)

    To investigate further the effects found with the ANOVAs, we conducted analyses based on these initial results. We concentrated on the part of the viewing period for which the results of the analyses described above was significant. This strategy permitted us to focus on the period during which emotion regulation efficiency occured to further explore the differential efficiency of single vs. multiple strategy use when they are actually efficient. This strategy also decreased our Type II error risk by using a portion of the data that was not affected by general “reaction to picture” effect, common for all our conditions. We then re-ran the analyses on this portion of time, taking only the factors Situation selection and Suppression. Discriminating between additive or cumulative interaction effects in two-way ANOVAs is admittedly difficult [81]. Thus, we also conducted analyses observing one factor (four levels), directly contrasting the Unregulated, Situation selection only, Suppression only, and Double regulation conditions.

Greenhouse-Geisser corrections were applied where the assumption of sphericity was violated, and corrected degrees of freedom were reported in these cases. Effect sizes are reported using partial eta squares (ηp2). P-values for interaction effects were corrected for multiple comparisons with the Holm-Bonferroni criterion. Threshold for significance was set to .05 (bilateral).


Success of the emotion induction

Table 1 below shows the values of the parameters recorded over the entire viewing in the Unregulated condition, for both negative (left) and positive (right) viewing.

Table 1 Sample size (N), Mean, Standard Error of the Mean (SEM), and 95% Confidence Interval (CI) of Experience, Expressivity, and Physiological Arousal to Negative and Positive Images seen in the Unregulated condition

On average, participants felt a significant increase of negative experience while confronted to negative images, mean = 41.25, t(65)=18.67, p < .001 (on a scale going from 0 to 100, with 100 being maximal negative emotion). Similarly, while confronted to positive pictures, they felt a significant positive experience, mean = 41.24, t(65)=22.44, p < .001 (on a scale going from 0 to 100, with 100 being maximal positive emotion), confirming successful induction of the desired emotional valence.

Effect of Situation selection and Emotional suppression on emotional experience

The three-way ANOVA Situation selection × Suppression × Time on negative trials yielded two main effects, that of Suppression, and Situation selection (see Table 2). Effect directions were opposite. Not using Suppression triggered a negative feeling of 40.76 points (Standard Error of Mean = SEM = 2.2), while attempting it increased the negative experience to 42.26 points (SEM =2.2). Conversely, without Situation selection negative experience was at 42.12 points (SEM = 2.2), and at 40.90 points (SEM = 2.2) with it (see Fig. 2a and b). The lack of interaction effect (see Table 2) suggests that the two strategies might counteract each other. To further analyze their combinatorial effect, we directly contrasted the Unregulated condition with the Double regulation condition, with a two-way ANOVA Time (16 epoch) × Condition (4 conditions, see Fig. 1). Results showed neither an effect of the Condition, F(1, 64)=0.12, p = .74 (see Fig. 2c), nor an interaction of this factor with Time, F(3,205) = 0.12, p = .95. Thus, it seems that the opposite effects of the two considered strategies cancel each other out when used simultaneously.

Table 2 Statistics for three-way ANOVA Situation Selection (SS) × Suppression (Sup) × Time (T) for Emotional Experience
Fig. 2

Effects of regulation on negative emotional experience. Are considered the main effect of Suppression (a), the main effect of Situation selection (b), or the contrast of the Unregulated condition with the Double regulation condition (c). The error bars are SEM. Ns = not significant, *p < .05, **p < .01

When considering the impact of emotion regulation on positive experience, the three-way ANOVA Situation selection × Suppression × Time on positive trials yielded only one significant effect, that of the interaction between Time and Suppression (Table 2). Contrasts showed that the two groups of conditions (no Suppression conditions vs. use of Suppression) yielded different dynamics between 1 s and 2 s from the stimulation onset. During this time, positive experience increased less sharply without Suppression (average reached during this period = 23.23) than with it (average reached during this period = 26.13).

Effect of Situation selection and Emotional suppression on emotional expressivity

The three-way ANOVA (Suppression × Situation selection × Time) on expressivity channels gave similar results for negative and positive trials. First, there was a main effect of Suppression for both negative and positive expressivity (see Table 3). These main effects showed that participants were very successful in performing Suppression as requested in the instruction. Indeed, this strategy triggered a decrease in the facial muscle activity from 151 to 107% of the trial baseline level for negative expressivity and from 156 to 103% of the trial baseline level for positive expressivity. For both valences, the ANOVAs showed significant interactions between Time and Suppression. Holm-Bonferroni corrected t-tests for each time frame showed that the differences in expressivity highlighted by the main effect did not happen immediately after the image onset but after 500 ms of viewing. No other effect was significant.

Table 3 Statistics for three-way ANOVA Situation Selection (SS) × Suppression (Sup) × Time (T) for Emotional Expression

Effect of Situation selection and Emotional suppression on physiological arousal

Heart rate

We first examined the impact of Suppression × Situation selection × Time on heart rate for negative viewing. The ANOVAs showed a main effect of Suppression (see Table 4), indicating that the decrease in heart rate observed during trials without Suppression (− 1.85 bpm) is less important than that observed with it (− 2.47 bpm). An interaction Time × Suppression was also noted (see Fig. 3a). Corrected contrasts showed that this effect occurred from 3 s after the image onset until the end of the recording period. Interestingly, a Time × Situation selection effect was also significant (see Fig. 3b), indicating an effect that was similar to that of Suppression. Performing the regulation (in this case Situation selection) triggered a stronger decrease in heart rate than without regulation, particularly from 4.5 s after the stimulus onset onward. No other effects were significant. As detailed in the “Data analyses” section above, we then contrasted, for the most relevant period (3–8 s after picture onset), the Double regulation condition with each strategy separately and the Unregulated condition. The test gave a significant effect of the Condition, F(3,165) = 13.13, p < .001, ηp2 = .17 and contrast results highlighted a cumulative impact of the two strategies (see Fig. 3c).

Table 4 Statistics for three-way ANOVA Situation Selection (SS) × Suppression (Sup) × Time (T) for Physiological Arousal
Fig. 3

Effects of regulation on heart rate changes as compared to trial baseline level during negative (a, b, and c) and positive (d, e, and f) trials. Are considered the interaction between Time and Suppression (a and d), the interaction between Time and Situation selection (b and e), and the contrast between the Unregulated condition and the use of either one or the other strategy and to the Double regulation condition, in the period spanning between 3 s (c) or 4 s (e) and 8 s after image onset. The error bars are SEM. Ns = not significant, *p < .05, * in c and f represent significance of contrasts with each of the three other conditions

We then examined the impact of Suppression × Situation selection × Time on heart rate for positive viewing. As with negative viewing, the ANOVA yielded a main effect of Suppression, again indicating that the decrease of heart rate observed during trials without Suppression (− 1.63 bpm) is less important than that observed with it (− 2.11 bpm). Similarly to the negative viewing results, a Time × Suppression interaction was also observed (see Table 4 and Fig. 3d), and corrected contrasts showed that this effect occurred from 4 s after the image onset until the end of the recording period. A Time × Situation selection effect was also significant (see Table 4 and Fig. 3e), indicating a similar effect as for Suppression. Performing Situation selection triggered a stronger decrease in heart rate than without it, in particular from 4.5 s after the stimulus onset onward. No other effects were significant. We then contrasted, for the most relevant period (4–8 s after picture onset), the double regulation effect with that of each strategy separately and that of the no regulation condition. The tests gave a significant effect of the Condition, F(3,177) = 12.35, p < .001, ηp2 = .16 (see Fig. 3f).

Skin conductance level

We first examined the impact of Suppression × Situation selection × Time on skin conductance level change for negative viewing. Only one effect was significant, namely the interaction between Situation selection and Time (see Table 4). Contrasts indicated that, whereas the ‘Chosen’ conditions triggered a stronger increase in skin conductance level in the first second of the viewing, at the end of the image presentation (7–8 s after the image onset) the level was significantly lower than that observed in the ‘Imposed’ conditions (see Fig. 4a). No other effects in the ANOVA were significant.

Fig. 4

Effects of Situation selection on skin conductance level changes. Are depicted the reactions during the 8 s of the picture viewing for negative trials (a) and positive trial (b). *p < .05, corrected for multiple comparisons. Diamond ended lines indicate span of significant differences between the ‘Imposed’ conditions and the ‘Chosen’ conditions

While examining the ANOVA outcomes for positive viewing, we noticed a similar pattern of results. The Situation selection × Time interaction effect was significant, F (2, 93)=9.83, p < .001, ηp2 = .15, while the other effects were not. Contrasts for each time frame on the ‘Chosen’ conditions, as compared to the ‘Imposed’ conditions showed that the effect seen in negative viewing was found also in positive viewing. However, it had shorter durations, the earlier effect spanning between 0.5 and 1 s after image onset, and the later effect occurring between 7.5 and 8 s after image onset (see Fig. 4b).

Respiratory rate

Since the correlation between thoracic and abdominal sites was of .79 (p < .001), measures at the two sites were averaged to form a single indicator of respiratory rate. When considering negative trials, the ANOVA performed on respiratory rate showed multiple significant effects. First, we found a significant main effect of Situation selection. Contrasts indicated that the decrease in respiratory rate that followed the presentation of the picture was greater under the ‘Chosen’ conditions (− 0.20 c/min) than under the ‘Imposed’ conditions (− 0.02 c/min). Second, we also found two significant interactions with Time, one with Suppression (see Fig. 5a), and one with Situation selection (see Fig. 5b). Despite overall similar shapes of the response profiles, contrasts indicated that the regulation conditions triggered a larger decrease in respiratory rate only when Situation selection was used, with an effect lasting from 5 s after the image presentation until the end of the recorded period. All the other effects of the ANOVA were not significant (see Table 4). Like for other parameters, we wondered about the effects taking place toward the end of the recording period, particularly regarding potential additive effect of the regulation strategies. Thus, we compared, in the most relevant period (5–8 s after picture onset) the Double regulation effect with that of each strategy separately and of the Unregulated condition. The tests gave a significant effect of the Condition, F(3,177) = 5.91, p = .001, ηp2 = .09 and contrasts showed a synergistic impact of the two strategies. The impact of Situation selection seemed potentiated by the combined use of Suppression (see Fig. 5c).

Fig. 5

Effects of regulation on respiratory rate changes as compared to trial baseline level during negative (a, b, and c) and positive (d, e, and f) trials. Are considered the interaction between Time and Suppression (a and d), the interaction between Time and Situation selection (b and e), and the contrast between the Unregulated condition and the single strategy conditions (Situation selection or Suppression) as well as the Double regulation condition, in the period spanning between 5 s (c) or 4.5 s (f) and 8 s after image onset. The error bars are SEM. *p < .05, * in c and f represent significance of contrasts with each of the three other conditions

When considering positive trials, the ANOVA performed on respiratory rate showed multiple effects, similar to what was observed for the negative viewing. First, we found a significant main effect of Situation selection. Contrasts indicated that the decrease in respiratory rate under the ‘Chosen’ conditions (− 0.09 c/min) was significantly different from the opposed increase under the ‘Imposed’ conditions (0.11 c/min). Second, we also found here two significant interactions with Time: one with Suppression (see Fig. 5d), and one with Situation selection (see Fig. 5e). This time, the profiles for each regulation strategy showed similar significant contrasts. These indicated that the regulation condition triggered a larger decrease in respiratory rate towards the end of the recorded period (from 6 s post-stimulus onward for Suppression and from 4.5 s onward for Situation selection). All the other effects of the ANOVA were not significant (see Table 4). As for the other parameters, we wondered about the effects taking place toward the end of the recording period, particularly regarding potential additive double regulation effect. We compared, in the most relevant period (4.5–8 s after picture onset), the effect of Double regulation with that of each strategy separately and with that of the Unregulated condition. The tests gave a significant effect of the Condition, F(3,167) = 10.70, p < .001, ηp2 = .14 and contrasts suggested a incremental impact of the two strategies in reducing the respiratory rate (see Fig. 5f).

Respiratory amplitude

Since the correlation between thoracic and abdominal sites was of .36 (p = .004), measures at the two sites were averaged to form a single indicator of respiratory amplitude. When considering negative trials, the ANOVA performed on changes in respiratory amplitude only showed a significant interaction effect between Situation selection and Time (see Fig. 6a). No other effects were significant. Given the marginal significance of the Situation selection × Suppression interaction and given that this effect was significant for positive viewing (see below), we present this interaction for negative viewing as illustration in Fig. 7a.

Fig. 6

Effects of regulation on the respiratory amplitude change (in mV) as compared to trial baseline level. Are considered the interaction between Time and Situation selection during negative viewing (a), the interaction between Time and Situation selection during positive viewing (b), and the interaction between Time and Suppression during positive viewing (c). *p < .05, with Holm-Bonferroni corrections

Fig. 7

Effects of single and double regulation on changes in respiratory amplitude (in mV) as compared to trial baseline level. Are considered the negative viewing (a) and the positive viewing (b). Contrasts were calculated only for positive viewing (b) since the interaction Situation selection × Suppression was significant only for this valence. The error bars are SEM. **p < .01, with Holm-Bonferroni corrections

When considering positive trials, the ANOVA performed on the changes in respiratory amplitude showed three significant effects (see Table 4). First, and similarly to what was observed for negative viewing, the test yielded a significant Time × Situation selection interaction (see Fig. 6b). Second, we also found a significant Time × Suppression interaction (see Fig. 6c). Third, and more interestingly, the Situation selection × Suppression interaction was also significant. As shown in Fig. 7b, contrasts for this effect indicated that the combined use of the two strategies markedly decreased respiratory amplitude, at a significantly lower level than when only Situation selection was used.


The purpose of this study was to investigate the effect of two emotion regulation strategies used simultaneously on emotional responses. The idea behind this research was that since individuals have a wide range of emotion regulation strategies at their disposal, it is very likely that several strategies will be attempted during the same emotional event. At the time of the writing of this article, a new study was published examining the use of two different strategies (Reappraisal and Rumination) but focused on their sequential use [82]. Although it did not strictly focus on simultaneous use consequences, it highlights how investigating the interrelation and interaction between several strategies is timely for the field.

Specifically, the present study aimed to observe the combined effect of Situation selection and Emotional suppression on emotional experience, expressivity and physiological arousal, as compared to when each of these strategies is used alone. To this end, we conducted a within-subject design experiment measuring emotional responses of participants confronted to emotionally loaded stimuli when performing either Situation selection, Emotional suppression, or both. For single-strategy conditions, we expected to replicate the results obtained in similar studies addressing the impact of these strategies used independently. For the double-strategy condition, we expected at least a summative effect: effects going in opposite directions under single strategy conditions would be canceled, and effects going in the same direction under single-strategy conditions would be enhanced. Our hypotheses were overall confirmed. We discuss below the major effects for each of the single and double conditions.

For Situation Selection used alone, and as hypothesized, our results confirmed those of a previous study [22]. Five results can notably be highlighted. First, negative experience decreased for the chosen pictures, as compared to the imposed pictures. Second, no impact of Situation selection on positive experience or expressivity was found. Third, performing Situation selection before viewing a given picture modified the subsequent cardiovascular response: the decrease in heart rate was stronger, particularly after 3 s of viewing. The heart rate remained lower than when viewing imposed pictures, and this until the end of the viewing period. This decrease could initially be interpreted as a stronger orienting response, reflecting the allocation of more resources to the choice procedure and the stimulus processing when the stimulus is chosen than when it is imposed. However, since this effect persisted until at least 8 s after the beginning of the image viewing, it can be argued that Situation selection significantly decreased the cardiovascular reaction to the emotional episode. Fourth, a particular dynamic for the change in skin conductance was found. At the beginning of the period, a higher skin conductance level was observed when the image was chosen, implying that performing a choice triggered an increase in skin conductance level. However, after a few seconds the effect reversed and the skin conductance level dropped at a lower level for chosen pictures than for imposed pictures. This pattern has been interpreted in the past as a successful downregulation of exocrine activity by Situation selection [22] and was replicated in the present study. Finally, and also confirming our hypotheses, a greater decrease in respiratory rate under the Situation selection condition for both negative and positive viewings was observed. Results also showed a consistent decrease in respiratory amplitude for the same condition. This is an unexpected result. Indeed, the vagal nerve responsible for respiratory variation generally couples rate and amplitude negatively, so that an increase in respiratory rate is associated with a decrease in respiratory amplitude [83, 84]. The present discrepant pattern was already found while examining effects of Situation selection and Suppression [22, 47]. Interpreting the physiology behind this result, we could state that a decrease in both respiratory rate and amplitude reduces the oxygen intake by lowering the incoming air volume. We could argue that this result represents a process by which oxygen demands are lowered by emotion regulation, thus converging toward reduced stress when emotions are regulated.

Based on the results of previous literature in similar contexts (early reactions to visual emotional stimulations, see introduction section), we hypothesized that Emotional suppression would not influence experience, but would strongly impact expressivity and show a stronger decrease in heart rate and respiratory functions. Three lines of results can be discussed. First, negative experience increased when participants performed Emotional suppression, compared to when they were not instructed to suppress. This is consistent with studies showing counterproductive effects of Suppression on emotional experience [85], although such evidence remains scarce in the literature. Second, and as repeatedly demonstrated, Emotional suppression reduced the expressive component of emotion, showing again that participants can successfully implement the requested strategy (see e.g., [35,36,37,38, 86, 87]). Third, and also in line with past studies, Emotional Suppression triggered a long-lasting decrease in heart rate. We did not find an effect of the strategy on skin conductance level, which is usually a measure that reacts with a rebound to this instruction [36], but we found a positive impact of Emotional suppression on respiratory functions. This is similar to results in other studies using similar instructions to implement Suppression [47, 48]. This result may suggest that, at least in the first few seconds after image viewing, Emotional suppression can have a positive impact on physiological arousal. This is possible since the instructions asking for general Emotional suppression (physiological and expressive) also have a physiological component. Thus, participants might have tried to regulate their respiration with a slow and shallower controlled breathing, causing the reduction in rate and amplitude.

Used simultaneously, Situation selection and Emotional suppression had the following outcomes. First, their respective and opposite effects on negative experience canceled each other out. This shows that performing Emotional Suppression is not beneficial to the regulation of experience, congruently with our hypothesis, even when performed together with Situation Selection, which usually has a positive impact. With respect to expressivity, and as expected, we found that it was reduced by Emotional suppression and unaffected by Situation selection. So far, nothing very surprising. However, the picture becomes more interesting when we examine the physiological impact of the combined use of the two emotion regulation strategies. We found that the heart rate deceleration was incrementally potentiated by the combined use of the emotion regulation strategies, and this in both positive and negative contexts. Indeed, using both regulation strategies triggered a greater decrease of heart rate in the last 4 to 5 s of the picture viewing in comparison with the no regulation condition and the single-strategy conditions. Thus, to regulate cardiovascular activity related to emotional stimulation, using both strategies may be more efficient than using only one. With respect to exocrine activity, we found no incremental effect of the double regulation. It seems that, in the case of double regulation, the Situation selection effect dominates. Therefore, there is no advantage in using two strategies instead of one for this response. Finally, the results of respiratory activity showed a decrease in oxygen intake for both strategies, with lower respiratory rates and amplitudes. However, this was particularly noticeable in the last 3–3.5 s of picture viewing in the double regulation condition, and particularly for positive viewing. This latter nuance suggests that this mechanism may in fact reflect the regulatory effect, which always appears easier in positive regulation. Indeed, in this context, reducing respiratory activity means letting go to the relaxing or calming effect of the positive viewing (which consisted mostly in low arousing pictures).

On the basis of our results, we could deliberate on the added value of simultaneously using Situation selection and Emotional suppression to regulate emotions. We found that this added value will greatly depend on the targeted emotional response. The major impact of this double regulation is, in the short term, the successful regulation of physiological responses. Regarding emotional expression, using both strategies will be as effective as using Emotional suppression alone, considering Situation selection had no effect on expression. Additionally, reducing negative experience is the major asset of Situation selection. This effect has been observed repeatedly for Situation selection and confers to this strategy a particular value, as there are few strategies that can achieve successful regulation of negative experience with such low investment of resources. However, this effect disappears when Emotional suppression is performed together with Situation selection. Thus, if the goal of regulation is to cope with negative experience, a combined use of these two strategies cannot be recommended. It may then be preferable to use only Situation selection.

These conclusions are interesting when related to past findings about the efficiency of the use of single emotion regulation strategy. For example, a recent study [56] investigated the comparative efficiency of Distraction and Reappraisal in relationship with trait anxiety. These strategies were applied separately and results showed that although Distraction and Reappraisal helped regulating emotional experience and expressivity, they had no effect on physiological responses. This is unfortunate because heart and respiration activity are the emotion responses that are specifically impacted by trait anxiety. Our present results could be useful for finding a way to regulate anxiety related responses. The combined use of Situation selection and Emotional suppression could help people with high trait anxiety for decreasing their cardiac and respiratory activity and lowering their overall physiological arousal. This shows how studies such as the present one, examining combinatory effect of different emotion regulation strategies, could provide solutions for concrete situations in which individual strategies are not effective.

So far, most research has focused on the effect of only one strategy used at a given time. This approach, while informative, does not however reflect what likely happens in everyday situations, when people struggle to downregulate negative emotions, potentially trying everything possible to remain focused on their task or interaction. This is why the next important frontier in the field of emotion regulation research regards how multiple emotion regulation strategies used at the same time will combine themselves and what are their direct collective consequences on emotional responses.


Several limitations can be pointed out regarding this study. First, we focused on right-handed participants who were furthermore all students and generalization of the results is hence limited. More broadly, the next logical step would be to include more characterization of individual differences in order to obtain more detailed conclusions. For example, a recent pilot study in our lab showed that Situation selection may be efficient to reduce experience as shown in the present study but only for people who may be high on neuroticism (Big five dimension, unpublished data). In addition, focusing on present symptomatology, like predisposition to anxiety [88] could help to refine the interpretation of the results. Eventually, this would help establishing recommendations on which strategies should be used, based on individual traits and paying close attention to which target emotional response is involved. Second, regarding Situation selection implementation, the choices that were given were limited to two options. This did not allow us to disentangle whether the choice was made on the basis of preference for the chosen option, or avoidance of the alternative. The choice given to the participants would deserve to be extended to a less limited and more ecological set of options. Third, we cannot guarantee that only Emotional suppression was attempted during our experiment. We are confident in the strategy implementation, since we replicated previous results regarding Suppression. However, it is possible that other explicit or even implicit emotion regulation strategies may have been simultaneously implemented, so that our results reflect the efficiency of a blend of strategies, rather than the pure effect of Suppression. A related concern on this point is the fact that we could wonder whether imposing a strategy or leaving it self-selected by the participant changes the way it is implemented and therefore its efficiency. This question would deserve particular attention in future studies. A fourth limitation relates to the consideration of broad valence affects (positive and negative) as discussed by dimensional theorists of affect [89,90,91]. This distinction had the advantage of limiting boundary problems between emotion categories linked to the frequent occurrence of mixed emotions [92]. Yet, this approach cannot provide information on the efficiency of Situation selection for particular emotions such as joy, fear or sadness. Further investigations on the type of positive vs. negative affects would provide a better understanding on how to best implement Situation selection and Emotional suppression in daily situations.


To our knowledge, this study is the first to investigate the simultaneous effect on emotion responses of two emotion regulation strategies (Situation selection and Emotional suppression) used at the same time for a single event. Our design allowed to compare double-strategy use with each strategy separately and with a condition in which participants were not instructed to regulate. This was done dynamically over the first few seconds of the occurrence of an emotional episode. In conclusion, our study highlights how the combinatorial effect of emotion regulation strategies differs according to the channel to be regulated. With the strategies investigated here, physiological arousal is the emotional response that benefits the most from a double regulation attempt. The combined use of Situation selection and Emotional suppression is then most beneficial for people who have difficulty regulating the physiological part of their emotions. Such results could improve the recommendation for more functional emotion regulation in daily life.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request. They also are available from the OFS home repository (



Analysis of Variance






Geneva Affective Picture Database


International Affective Picture System


Standard Error of the Mean


12-Item Short-Form Health Survey


  1. 1.

    Gross JJ, Feldman Barrett L. Emotion generation and emotion regulation: one or two depends on your point of view. Emot Rev. 2011;3(1):8–16.

    PubMed  PubMed Central  Article  Google Scholar 

  2. 2.

    Gross JJ, Richards JM, John OP. Emotion regulation in everyday life. In: Snyder DK, Simpson JE, Hughes JN, editors. Emotion regulation in couples and families: pathways to dysfunction and health. Washington, DC: American Psychological Association; 2006. p. 13–35.

    Chapter  Google Scholar 

  3. 3.

    Keltner D, Gross JJ. Functional accounts of emotions. Cognit Emot. 1999;13(5):467–80.

    Article  Google Scholar 

  4. 4.

    Tomkins S. Affect theory. In: Scherer K, Ekman P, editors. Approaches to emotion. Hillsdale: Erlbaum; 1984. p. 353–400.

    Google Scholar 

  5. 5.

    Gross JJ. The emerging field of emotion regulation: an integrative review. Rev Gen Psychol. 1998;2(3):271–99.

    Article  Google Scholar 

  6. 6.

    Gross JJ, John OP. Individual differences in two emotion regulation processes: implication for affect, relationships, and well-being. J Pers Soc Psychol. 2003;85(2):348–62.

    PubMed  Article  Google Scholar 

  7. 7.

    Gross JJ, Muñoz RF. Emotion regulation and mental health. Clin Psychol Sci Pract. 1995;2(2):151–64.

    Article  Google Scholar 

  8. 8.

    Eisenberg N, Fabes RA, Guthrie IK, Reiser M. Dispositional emotionality and regulation: their role in predicting quality of social functioning. J Pers Soc Psychol. 2000;78(1):136–57.

    PubMed  Article  Google Scholar 

  9. 9.

    Hayes SC, Wilson KG, Gifford EV, Follette VM, Strosahl K. Experiential avoidance and behavioral disorders: a functional dimensional approach to diagnosis and treatment. J Consult Clin Psychol. 1996;64(6):1152–68.

    PubMed  Article  Google Scholar 

  10. 10.

    Campbell-Sills L, Barlow DH. Incorporating emotion regulation into conceptualizations and treatments of anxiety and mood disorders. In: Gross JJ, editor. Handbook of emotion regulation. New York: Guilford Press; 2007. p. 542–59.

    Google Scholar 

  11. 11.

    Mennin DS, Heimberg RG, Turk CL, Fresco DM. Applying an emotion regulation framework to integrative approaches to generalized anxiety disorder. Clin Psychol Sci Pract. 2002;9(1):85–90.

    Article  Google Scholar 

  12. 12.

    Mennin DS, Heimberg RG, Turk CL, Fresco DM. Emotion regulation deficits as a key feature of generalized anxiety disorder: testing a theoretical model. Behav Res Ther. 2005;43:1281–310.

    PubMed  Article  Google Scholar 

  13. 13.

    Tull MT, Roemer L. Emotion regulation difficulties associated with the experience of uncued panic attacks: evidence of experiential avoidance, emotional nonacceptance, and decreased emotional clarity. Behav Ther. 2007;38(4):378–91.

    PubMed  Article  Google Scholar 

  14. 14.

    Cloitre M, Stovall-McClough K, Miranda R, Chemtob CM. Therapeutic alliance, negative mood regulation, and treatment outcome in child abuse-related posttraumatic stress disorder. J Consult Clin Psychol. 2004;72(3):411–6.

    PubMed  Article  Google Scholar 

  15. 15.

    Glenn CR, Klonsky ED. Emotion dysregulation as a core feature of borderline personality disorder. J Personal Disord. 2009;23(1):20–8.

    Article  Google Scholar 

  16. 16.

    Henry JD, Green MJ, de Lucia A, Restuccia C, McDonald S, O'Donnell M. Emotion dysregulation in schizophrenia: reduced amplification of emotional expression is associated with emotional blunting. Schizophr Res. 2007;95(1):197–204.

    PubMed  Article  Google Scholar 

  17. 17.

    Westermann S, Boden MT, Gross JJ, Lincoln TM. Maladaptive cognitive emotion regulation prospectively predicts subclinical paranoia. Cogn Ther Res. 2013;37(4):881–5.

    Article  Google Scholar 

  18. 18.

    Gross JJ. Emotion regulation in adulthood: timing is everything. Curr Dir Psychol Sci. 2001;10(6):214–9.

    Article  Google Scholar 

  19. 19.

    Gross JJ. Handbook of emotion regulation. New York: Guilford Press; 2007.

    Google Scholar 

  20. 20.

    Gross JJ, Thompson RA. Emotion regulation: conceptual foundations. In: Gross JJ, editor. Handbook of emotion regulation. New York: Guilford Press; 2007. p. 3–24.

    Google Scholar 

  21. 21.

    Jazaieri H, McGonigal K, Lee IA, Jinpa T, Doty JR, Gross JJ, et al. Altering the trajectory of affect and affect regulation: the impact of compassion training. Mindfulness. 2017;9(1):283–93.

    Article  Google Scholar 

  22. 22.

    Thuillard S, Dan-Glauser E. The regulatory effect of choice in situation selection reduces experiential, exocrine and respiratory arousal for negative emotional stimulations. Sci Rep. 2017;7(1):12626.

    PubMed  PubMed Central  Article  Google Scholar 

  23. 23.

    Sands M, Isaacowitz DM. Situation selection across adulthood: the role of arousal. Cognit Emot. 2016;31(4):791–8.

    Article  Google Scholar 

  24. 24.

    Livingstone KM, Isaacowitz DM. Situation selection and modification for emotion regulation in younger and older adults. Soc Psychol Personal Sci. 2015;6(8):904–10.

    PubMed  PubMed Central  Article  Google Scholar 

  25. 25.

    Aldao A, Nolen-Hoeksema S. One versus many: capturing the use of multiple emotion regulation strategies in response to an emotion-eliciting stimulus. Cognit Emot. 2013;27(4):753–60.

    Article  Google Scholar 

  26. 26.

    Szasz PL, Coman M, Curtiss J, Carpenter JK, Hofmann SG. Use of multiple regulation strategies in spontaneous emotion regulation. Int J Cogn Ther. 2018;11(3):249–61.

    Article  Google Scholar 

  27. 27.

    Opitz PC, Cavanagh SR, Urry HL. Uninstructed emotion regulation choice in four studies of cognitive reappraisal. Personal Individ Differ. 2015;86:455–64.

    Article  Google Scholar 

  28. 28.

    Bonanno GA, Burton CL. Regulatory flexibility:an individual differences perspective on coping and emotion regulation. Perspect Psychol Sci. 2013;8(6):591–612.

    PubMed  Article  Google Scholar 

  29. 29.

    Aldao A, Nolen-Hoeksema S. When are adaptive strategies most predictive of psychopathology? J Abnorm Psychol. 2012;121(1):276–81.

    PubMed  Article  Google Scholar 

  30. 30.

    Lee DJ, Witte TK, Weathers FW, Davis MT. Emotion regulation strategy use and posttraumatic stress disorder: associations between multiple strategies and specific symptom clusters. J Psychopathol Behav Assess. 2015;37(3):533–44.

    Article  Google Scholar 

  31. 31.

    Otterpohl N, Schwinger M, Wild E. Exploring the interplay of adaptive and maladaptive strategies: prevalence and functionality of anger regulation profiles in early adolescence. J Early Adolesc. 2016;36(8):1042–69.

    Article  Google Scholar 

  32. 32.

    Birk JL, Bonanno GA. When to throw the switch: the Adaptiveness of modifying emotion regulation strategies based on affective and physiological feedback. Emotion. 2016;16(5):657–70.

    PubMed  Article  Google Scholar 

  33. 33.

    Webb TL, Miles E, Sheeran P. Dealing with feeling: a meta-analysis of the effectiveness of strategies derived from the process model of emotion regulation. Psychol Bull. 2012;138(4):775–808.

    PubMed  Article  Google Scholar 

  34. 34.

    Cutuli D. Cognitive reappraisal and expressive suppression strategies role in the emotion regulation: an overview on their modulatory effects and neural correlates. Front Syst Neurosci. 2014;8:175.

    PubMed  PubMed Central  Article  Google Scholar 

  35. 35.

    Gross JJ. Antecedent- and response-focused emotion regulation: divergent consequences for experience, expression, and physiology. J Pers Soc Psychol. 1998;74(1):224–37.

    Article  Google Scholar 

  36. 36.

    Gross JJ, Levenson RW. Emotional suppression: physiology, self-report, and expressive behavior. J Pers Soc Psychol. 1993;64(6):970–86.

    PubMed  Article  Google Scholar 

  37. 37.

    Gross JJ, Levenson RW. Hiding feelings: the acute effects of inhibiting negative and positive emotion. J Abnorm Psychol. 1997;106(1):95–103.

    PubMed  Article  Google Scholar 

  38. 38.

    Roberts N, Levenson RW, Gross JJ. Cardiovascular costs of emotion suppression cross ethnic lines. Int J Psychophysiol. 2008;70(1):82–7.

    PubMed  PubMed Central  Article  Google Scholar 

  39. 39.

    Dunn BD, Billotti D, Murphy V, Dalgleish T. The consequences of effortful emotion regulation when processing distressing material: a comparison of suppression and acceptance. Behav Res Ther. 2009;47(9):761–73.

    PubMed  PubMed Central  Article  Google Scholar 

  40. 40.

    Goldin PR, McRae K, Ramel W, Gross JJ. The neural bases of emotion regulation: reappraisal and suppression of negative emotion. Biol Psychiatry. 2008;63(6):577–86.

    PubMed  Article  Google Scholar 

  41. 41.

    Boland M, Papa A, del Carlo RE. Trait negative affect moderates the effects of expressive versus experiential emotion suppression. Personal Individ Differ. 2019;138:4–10.

    Article  Google Scholar 

  42. 42.

    Lemaire M, El-Hage W, Frangou S. Reappraising suppression: subjective and physiological correlates of experiential suppression in healthy adults. Front Psychol. 2014;5(571):1–9.

    Google Scholar 

  43. 43.

    Geisler FCM, Schroeder-Abe M. Is emotion suppression beneficial or harmful? It depends on self-regulatory strength. Motiv Emot. 2015;39(4):553–62.

    Article  Google Scholar 

  44. 44.

    Gracanin A, Kardum I, Hudek-Knezevic J. Parasympathetic concomitants of habitual, spontaneous, and instructed emotional suppression. J Psychophysiol. 2017;31(2):78–89.

    Article  Google Scholar 

  45. 45.

    Olatunji BO, Berg HE, Zhao Z. Emotion regulation of fear and disgust: differential effects of reappraisal and suppression. Cognit Emot. 2017;31(2):403–10.

    Article  Google Scholar 

  46. 46.

    Lee E-J, Kim H-C, Park JH, Lee J. The moderating effect of gender in the relationship between emotional suppression and blood pressure. J Korean Data Anal Soc. 2018;20(2):595–608.

    Article  Google Scholar 

  47. 47.

    Dan-Glauser ES, Gross JJ. The temporal dynamics of two response-focused forms of emotion regulation: experiential, expressive, and autonomic consequences. Psychophysiology. 2011;48(9):1309–22.

    PubMed  PubMed Central  Article  Google Scholar 

  48. 48.

    Dan-Glauser ES, Gross JJ. The temporal dynamics of emotional acceptance: experience, expression, and physiology. Biol Psychol. 2015;108:1–12.

    PubMed  Article  Google Scholar 

  49. 49.

    Lang PJ, Greenwald MK, Bradley MM, Hamm AO. Looking at pictures: affective, facial, visceral, and behavioral reactions. Psychophysiology. 1993;30(3):261–73.

    PubMed  Article  Google Scholar 

  50. 50.

    Siedlecka E, Denson TF. Experimental methods for inducing basic emotions: a qualitative review. Emot Rev. 2019;11(1):87–97.

    Article  Google Scholar 

  51. 51.

    Bradley MM, Lang PJ. Measuring emotion: behavior, feeling, and physiology. Cognitive neuroscience of emotion. Series in affective science. New York: Oxford University Press; 2000. p. 242–76.

    Google Scholar 

  52. 52.

    Lang PJ, Bradley MM, Cuthbert BN. Emotion, motivation, and anxiety: brain mechanisms and psychophysiology. Biol Psychiatry. 1998;44(12):1248–63.

    PubMed  Article  Google Scholar 

  53. 53.

    Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale: Erlbaum; 1988.

    Google Scholar 

  54. 54.

    Ware JE, Kosinski M, Keller SD. A 12-item short-form health survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34(3):220–33.

    PubMed  Article  Google Scholar 

  55. 55.

    Reuter-Lorenz P, Givis R, Moscovitch M. Hemispheric specialization and the perception of emotion: evidence from right-handers and from inverted and non-inverted left-handers. Neuropsychologia. 1983;21(6):687–92.

    PubMed  Article  Google Scholar 

  56. 56.

    Bourne VJ. Examining the relationship between degree of handedness and degree of cerebral lateralization for processing facial emotion. Neuropsychology. 2008;22(3):350–6.

    PubMed  Article  Google Scholar 

  57. 57.

    Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971;9(1):97–113.

    PubMed  Article  Google Scholar 

  58. 58.

    Stein NL, Trabasso T, Liwag M. The representation and organization of emotional experience: unfolding the emotion episode. In: Lewis M, Haviland JM, editors. Handbook of emotions. New York: Guilford Press; 1993. p. 279–300.

    Google Scholar 

  59. 59.

    Esslen M, Pascual-Marqui RD, Hell D, Kochi K, Lehmann D. Brain areas and time course of emotional processing. NeuroImage. 2004;21(4):1189–203.

    PubMed  Article  Google Scholar 

  60. 60.

    Bradley MM, Lang PJ. Measuring emotion: Behavior, feeling, and physiology. In: Lane RD, Nadel L, editors. Cognitive neuroscience of emotion. New York: Oxford University Press; 2000. p. 242–76.

    Google Scholar 

  61. 61.

    Codispoti M, Bradley MM, Lang PJ. Affective reactions to briefly presented pictures. Psychophysiology. 2001;38(3):474–8.

    PubMed  Article  Google Scholar 

  62. 62.

    Dan-Glauser ES, Scherer KR. The Geneva affective picture database (GAPED): a new 730-picture database focusing on valence and normative significance. Behav Res Methods. 2011;43(2):468–77.

    PubMed  Article  Google Scholar 

  63. 63.

    Lang PJ, Bradley MM, Cuthbert BN. International Affective Picture System (IAPS): instruction manual and affective ratings. Technical Report A-4, Center for Research in Psychophysiology: University of Florida.; 1999.

  64. 64.

    Kring AM, Gordon AH. Sex differences in emotion: expression, experience, and physiology. J Pers Soc Psychol. 1998;74(3):686.

    PubMed  Article  Google Scholar 

  65. 65.

    Matsumoto D, Nezlek JB, Koopmann B. Evidence for universality in phenomenological emotion response system coherence. Emotion. 2007;7(1):57.

    PubMed  Article  Google Scholar 

  66. 66.

    Mauss IB, Levenson RW, McCarter L, Wilhelm FH, Gross J. The tie that binds? Coherence among emotion experience, behavior, and physiology. Emotion. 2005;5(2):175–90.

    PubMed  Article  Google Scholar 

  67. 67.

    Larsen JT, Norris CJ, Cacioppo JT. Effects of positive and negative affect on electromyographic activity over zygomaticus major and corrugator supercilii. Psychophysiology. 2003;40(5):776–85.

    PubMed  Article  Google Scholar 

  68. 68.

    Frank MG, Ekman P, Friesen WV. Behavioral markers and recognizability of the smile of enjoyment. J Pers Soc Psychol. 1993;64(1):83.

    PubMed  Article  Google Scholar 

  69. 69.

    Fridlund AJ, Cacioppo JT. Guidelines for human electromyographic research. Psychophysiology. 1986;23(5):567–89.

    PubMed  Article  Google Scholar 

  70. 70.

    Van Boxtel A. Facial EMG as a tool for inferring affective states. Proceedings of measuring behavior. Wageningen: Noldus Information Technology; 2010.

    Google Scholar 

  71. 71.

    de Wied M, van Boxtel A, Zaalberg R, Goudena PP, Matthys W. Facial EMG responses to dynamic emotional facial expressions in boys with disruptive behavior disorders. J Psychiatr Res. 2006;40(2):112–21.

    PubMed  Article  Google Scholar 

  72. 72.

    Lang PJ, Bradley MM, Cuthbert BN. Motivated attention: Affect, activation, and action. In: Lang PJ, Simons RF, Balaban MT, editors. Attention and orienting: Sensory and motivational processes. Hillsdale: Erlbaum Associates; 1997. p. 97–136.

    Google Scholar 

  73. 73.

    Palomba D, Angrilli A, Mini A. Visual evoked potentials, heart rate responses and memory to emotional pictorial stimuli. Int J Psychophysiol. 1997;27(1):55–67.

    PubMed  Article  Google Scholar 

  74. 74.

    VanOyen WC, Vrana SR. Psychophysiological responses as indices of affective dimensions. Psychophysiology. 1995;32(5):436–43.

    Article  Google Scholar 

  75. 75.

    Kensinger EA, Schacter DL. Processing emotional pictures and words: effects of valence and arousal. Cogn Affect Behav Neurosci. 2006;6(2):110–26.

    PubMed  Article  Google Scholar 

  76. 76.

    Dolcos F, LaBar KS, Cabeza R. Dissociable effects of arousal and valence on prefrontal activity indexing emotional evaluation and subsequent memory: an event-related fMRI study. Neuroimage. 2004;23(1):64–74.

    PubMed  Article  Google Scholar 

  77. 77.

    Winton WM, Putnam LE, Krauss RM. Facial and autonomic manifestations of the dimensional structure of emotion. J Exp Soc Psychol. 1984;20(3):195–216.

    Article  Google Scholar 

  78. 78.

    Hubert W, de Jong-Meyer R. Autonomic, neuroendocrine, and subjective response to emotion-inducing film stimuli. Int J Psychophysiol. 1991;11(2):131–40.

    PubMed  Article  Google Scholar 

  79. 79.

    Mak AK, Hu Z-G, Zhang JX, Xiao Z-W, Lee TM. Neural correlates of regulation of positive and negative emotions: an fMRI study. Neurosci Lett. 2009;457(2):101–6.

    PubMed  Article  Google Scholar 

  80. 80.

    Kim SH, Hamann S. Neural correlates of positive and negative emotion regulation. J Cogn Neurosci. 2007;19(5):776–98.

    PubMed  Article  Google Scholar 

  81. 81.

    Landsheer JA, van den Wittenboer G, Maassen GH. Additive and multiplicative effects in a fixed 2×2 design using ANOVA can be difficult to differentiate: demonstration and mathematical reasons. Soc Sci Res. 2006;35(1):279–94.

    Article  Google Scholar 

  82. 82.

    Peuters C, Kalokerinos EK, Pe ML, Kuppens P. Sequential effects of reappraisal and rumination on anger during recall of an anger-provoking event. PLoS One. 2019;14(1):e0209029.

    PubMed  PubMed Central  Article  Google Scholar 

  83. 83.

    Porges SW, Raskin DC. Respiratory and heart rate components of attention. J Exp Psychol. 1969;81(3):497–503.

    PubMed  Article  Google Scholar 

  84. 84.

    Parhizgar F, Nugent K, Raj R. Obstructive sleep apnea and respiratory complications associated with vagus nerve stimulators. J Clin Sleep Med. 2011;7(04):401–7.

    PubMed  PubMed Central  Article  Google Scholar 

  85. 85.

    Campbell-Sills L, Barlow DH, Brown TA, Hofmann SG. Acceptability and suppression of negative emotion in anxiety and mood disorders. Emotion. 2006;6(4):587–95.

    PubMed  Article  Google Scholar 

  86. 86.

    Jackson D, Malmstadt J, Larson C, Davidson R. Suppression and enhancement of emotional responses to unpleasant pictures. Psychophysiology. 2000;37(4):515–22.

    PubMed  Article  Google Scholar 

  87. 87.

    Richards JM, Gross JJ. Composure at any cost? The cognitive consequences of emotion suppression. Personal Soc Psychol Bull. 1999;25(8):1033–44.

    Article  Google Scholar 

  88. 88.

    Efinger L, Thuillard S, Dan-Glauser ES. Distraction and reappraisal efficiency on immediate negative emotional responses: role of trait anxiety. Anxiety Stress Coping. 2019;32(4):412–27.

    PubMed  Article  Google Scholar 

  89. 89.

    Posner J, Russell JA, Peterson BS. The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology. Dev Psychopathol. 2005;17(3):715–34.

    PubMed  PubMed Central  Article  Google Scholar 

  90. 90.

    Barrett LF, Mesquita B, Ochsner KN, Gross JJ. The experience of emotion. Annual review of psychology. Annu Rev Psychol. 2007;58:373–403.

    PubMed  PubMed Central  Article  Google Scholar 

  91. 91.

    Russell JA. A circumplex model of affect. J Pers Soc Psychol. 1980;39:1161–78.

    Article  Google Scholar 

  92. 92.

    Ellsworth PC, Scherer KR. Appraisal processes in emotion. In: Davidson RJ, Scherer KR, Goldsmith HH, editors. Handbook of affective sciences. New York: Oxford University Press; 2003. p. 572–95.

    Google Scholar 

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This study was financed by Swiss National Science Foundation Grants (No PZ00P1_161509 and No PCEFP1_186836) to E.D-G. The funder played no role in the design, conduct and interpretation of the study.

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E.D-G. designed and programmed the study, ST gathered the data and preprocessed the signal, E.DG. performed the data analyses, E.D-G. and ST wrote the manuscript. All authors have read and approved the manuscript.

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Correspondence to Elise S. Dan-Glauser.

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Thuillard, S., Dan-Glauser, E.S. The simultaneous use of Emotional suppression and Situation selection to regulate emotions incrementally favors physiological responses. BMC Psychol 8, 133 (2020).

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  • Emotion regulation strategies
  • Emotion responses
  • Multiple strategy use
  • Strategy efficiency