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Gender Role Orientation and Sex Differences in Adolescents’ Interpersonal Emotion Regulation: A Multi-Method Study

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17 November 2025

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18 November 2025

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Abstract
Interpersonal emotion regulation (iER) is the process of managing others’ emotions and is critical during early adolescence, when social awareness and peer dependence increase. Little is known about how sex and gender role orientation shape adolescents’ iER. This study examined whether early adolescents differ in their use of person-focused (acceptance) versus problem-focused (positive engagement) strategies and whether these differences depend on context and measurement method. Data were collected from 322 adolescents (141 girls, 181 boys; aged 10–14 years, M = 12.47, SD = 1.55). The cross-sectional online study used a multi-method design comprising open-ended visual vignettes, a standardised questionnaire, and a serious game task. Participants also completed a validated gender-role self-concept measure assessing femininity and masculinity. Analyses were conducted using Poisson and logistic regressions with sex, femininity, and masculinity as predictors. Across tasks, adolescents preferred problem-focused over person-focused strategies. Girls and those higher in femininity reported or generated more acceptance-based strategies, whereas boys and those higher in masculinity favoured positive engagement. These effects were evident in reflective measures (vignettes and questionnaire) but not in the interactive game, where sex and gender differences were absent. Findings suggest that gendered socialisation processes shape how adolescents regulate others’ emotions, particularly when behaviour is consciously reported. However, in ecologically valid contexts, these differences diminish, indicating shared capacities for adaptive interpersonal regulation across genders.
Keywords: 
;  ;  ;  ;  
Subject: 
Social Sciences  -   Psychology

1. Introduction

1.1. Interpersonal Emotion Regulation in Early Adolescence

Emotion regulation (ER) refers to the processes through which individuals influence which emotions they experience, when they experience them, and how these emotions are expressed [1]. While a substantial body of research has explored how people regulate their own emotions (intrapersonal ER), less is known about how they help to regulate the emotions of others, a process known as interpersonal emotion regulation (iER). iER plays a critical role in social functioning, facilitating empathy, prosociality, and the maintenance of supportive relationships [2,3]. These competencies become particularly important during early adolescence, a developmental phase characterised by heightened social awareness, emotional sensitivity, and reliance on peers for emotional support [4]. Understanding iER during this formative period is therefore central to explaining how young people navigate increasingly complex social worlds.
Recent work highlights that emotion regulation abilities undergo rapid change in early adolescence and that both parental and peer contexts shape their development [5]. Difficulties in emotion regulation are linked to poorer social adjustment, greater distress, and daily life impairments in adolescence [6]. In real-time studies, adolescents’ iER with parents and peers predicts subsequent emotional wellbeing [7], underscoring that iER is not only a theoretical construct but also a key developmental mechanism with long-term implications.

1.2. Conceptualising Interpersonal Emotion Regulation

Niven, Totterdell [8] proposed the Interpersonal Affect Regulation Classification (IARC) as a comprehensive taxonomy of strategies people use to influence others’ emotional states. Within the IARC, affect-improving strategies can be grouped into two higher-order clusters: problem-focused (positive engagement) strategies such as giving advice, reframing the situation, or offering instrumental help, and person-focused (acceptance) strategies such as validating, comforting, or showing attention. Both clusters are regarded as adaptive and prosocial. Although the IARC was originally developed and validated with adults, it provides a useful lens for understanding adolescents’ developing social-emotional competences, particularly as they begin to apply emotion regulation strategies in peer contexts [9]. Table 1 presents the adaptive iER strategies of the IARC that form the conceptual basis of this study.

1.3. Sex, Gender, and the Socialisation of Emotion

The distinction between biological sex and gender is central to understanding emotion regulation. Sex refers to biological characteristics, whereas gender encompasses the socially constructed roles, norms, and identities associated with femininity and masculinity [10,11]. Socialisation processes communicate distinct emotional expectations: girls are typically encouraged to be emotionally expressive, caring, and relational, while boys are socialised to appear agentic, independent, and emotionally restrained [12,13]. These gendered expectations shape both emotional expression and support-giving behaviour. Accordingly, girls may tend to use person-focused strategies that emphasise empathy and validation, whereas boys may favour problem-focused approaches involving action and solution-seeking.
Although sex and gender differences in intrapersonal ER and related constructs (such as coping and empathy) are well documented [14,15], research directly examining iER in young people remains scarce. Studies in adults indicate that women use more interpersonal and emotion-focused strategies [16], yet findings for adolescents are inconsistent. Early adolescence may mark a pivotal period when gendered patterns of emotional behaviour intensify – a process described by the Gender Intensification Hypothesis [13]. As adolescents internalise cultural expectations of femininity and masculinity, these norms may influence how they perceive and respond to others’ emotions [17]. Recent evidence supports this view, showing that supportive parental responses predict stronger ER abilities in girls, while peer interactions play an increasing role across adolescence [5].

1.4. A Developmental and Contextual Perspective

Methodological context may shape observed sex and gender differences. Self-reports often reflect conscious adherence to gender norms, whereas behaviour in interactive or naturalistic contexts may reveal subtler or attenuated differences [18]. Indeed, the effectiveness and expression of interpersonal strategies vary across social partners and contexts: interactions with parents versus peers activate different regulatory goals and social expectations [9,19]. A multi-method approach combining open-ended, self-report, and ecologically valid tasks can therefore disentangle socially desirable responding from genuine behaviour and provide a fuller understanding of adolescents’ iER. To capture adolescents’ iER across different levels of reflection and ecological validity, we employed a multi-method approach combining open-ended vignettes, self-report, and a serious game. Vignettes are well-established tools for eliciting social judgements in controlled yet realistic scenarios [20] and have been successfully adapted into visual formats to enhance engagement and cross-cultural comparability in young samples [21]. However, self-reports may be influenced by social desirability and gendered self-perceptions [22], while game-based paradigms can provide a more immersive and naturalistic assessment of social behaviour [23]. Integrating these methods therefore allows for the examination of iER both as an explicit social-cognitive skill and as an enacted social behaviour.

1.5. The Present Study

The present study examined sex and gender role orientation differences in the use of iER strategies among early adolescents aged 10–14 years. Using the IARC framework, we differentiated between person-focused (acceptance) and problem-focused (positive engagement) strategies. Employing three complementary methods (open-ended visual vignettes, a standardised questionnaire, and a serious game) we aimed to determine whether and how biological sex and self-perceived gender role orientation (femininity and masculinity) predicted adolescents’ iER strategy use.
We hypothesised that:
  • Girls and adolescents identifying more strongly with feminine traits would use more person-focused (acceptance) strategies, whereas boys and those scoring higher in masculinity would use more problem-focused (positive engagement) strategies.
  • These differences would be most pronounced in reflective contexts (vignettes and self-report) and less evident in interactive gameplay, where spontaneous reactions may be less influenced by gendered expectations.
By integrating biological and psychosocial dimensions of gender within a multi-method framework, this study aims to advance understanding of how developing adolescents learn to regulate others’ emotions in socially and developmentally meaningful ways.

2. Materials and Methods

2.1. Participants

Participants were 322 early adolescents (181 boys, 141 girls) aged 10 to 14 years (M = 12.47, SD = 1.55). They were recruited through social media and the research group’s school network in Austria and Germany. All participants provided informed consent prior to participation. Ethical approval was granted by the local ethics committee (EK 1075/2020). Thirty-one participants were excluded because they selected the response options “neither” or “I prefer not to say” for the variable sex. Participation took place entirely online. No monetary compensation was offered; however, participants could enter a raffle for small prizes (e.g., vouchers).

2.2. Procedure

The aim of the study was to investigate sex and gender differences in adolescents’ use of iER strategies. Participation took approximately 25–30 minutes and followed the sequence below:
  • Demographic and consent questions
  • Open-ended visual vignette task
  • iER questionnaire
  • Serious game task
  • Gender role orientation questionnaire
This order was chosen to avoid priming or learning effects between measures, allowing the open-ended task to capture spontaneous responses before exposure to predefined strategy options. All tasks were completed using the secure online platform Soscisurvey accessible from home computers or tablets. Valid data were available for 303 participants in the vignette and questionnaire tasks and for 125 participants in the game task. Missing data resulted primarily from technical interruptions or incomplete sessions.

2.3. Measures

2.3.1. Interpersonal Emotion Regulation

Visual Vignettes. To assess spontaneous iER strategies, participants responded to four illustrated vignettes showing common social situations in which a peer experiences a negative emotion (e.g., fear, embarrassment, sadness, anger; Figure 1). For each vignette, they were asked:
“If you were in that room, what could you do to help this person?”
Responses were open-ended and unconstrained in length. Two trained coders independently classified each response into one of the two affect-improving clusters of the Interpersonal Affect Regulation Classification (IARC; Niven et al., 2009): positive engagement or acceptance. Irrelevant or maladaptive responses (e.g., “ignore them”, “make fun of them”) were excluded from analysis. Coding agreement between raters was high (Cohen’s κ = .84), and discrepancies were resolved through discussion.
Questionnaire: Emotion Regulation of Others and Self (EROS). The Emotion Regulation of Others and Self Scale [EROS; [24]] was used to measure self-reported use of iER strategies. Only the six extrinsic affect-improving items were included. Participants rated how often they had used each strategy to change another person’s feelings during the previous four weeks on a 5-point Likert scale (1 = not at all, 5 = a great deal). The questionnaire was translated into German using a forward–backward translation procedure by bilingual psychologists. Minor linguistic adjustments were made to ensure comprehension for adolescents aged 10–14.
Serious Game Task. To capture iER behaviour in an ecologically valid context, participants played an adventure-style serious game created using RPG Maker MV [25,26]. The game follows a main character (a student of similar age to participants) through a storyline involving peers in emotionally charged situations. Across ten social encounters, the player selects one of four response options: two maladaptive (e.g., ignoring, teasing) and two adaptive strategies. Among the adaptive options, one reflects positive engagement and the other acceptance. To maintain ethical appropriateness and task progression, players who choose a maladaptive option are prompted to try again until an adaptive strategy is selected. The task therefore measured choice preference between adaptive strategies rather than success rate.

2.3.2. Gender Role Orientation and Sex

Gender role orientation was measured using the Inventory for Measuring Gender Role Self-Concept in Adolescence [GRI-JUG; [27]]. The instrument comprises four 5-item subscales: positive feminine (Fem+), negative feminine (Fem–), positive masculine (Mas+), and negative masculine (Mas–) attributes. Items were rated on a 5-point scale (1 = does not apply at all, 5 = applies nearly always).
Sex, femininity, and masculinity scores served as independent variables in separate models. Where multiple predictors were significant (p < .05), a combined model was estimated. Given the limited prior research on iER in early adolescence and the exploratory character of this multi-method design, hypotheses were considered preliminary. p-values are therefore interpreted descriptively.

2.4. Data Analysis

Analyses were conducted using R (version 4.3). Descriptive statistics were calculated for all study variables. For count outcomes (number of positive engagement or acceptance strategies in the vignette and game tasks), Poisson regression models were applied. For the ordinal questionnaire outcomes, logistic regression models were used, comparing higher versus lower strategy endorsement categories (EROS answer options 1-3 versus 4-5).
Sex, femininity, and masculinity scores served as independent variables in separate models. Where multiple predictors were significant (p < .05), a combined model was estimated. Given the limited prior research on iER in early adolescence and the exploratory character of this multi-method design, hypotheses were considered preliminary. p-values are therefore interpreted descriptively.

3. Results

3.1. Descriptive Statistics

Table 2 presents descriptive statistics for all main study variables by sex. Girls and boys did not differ significantly in age, but as expected, they differed on gender role orientation scores: girls reported higher femininity and boys higher masculinity. Most participants endorsed traits of both genders to varying degrees, although boys tended to report higher masculinity and lower femininity overall.

3.2. Frequency of Strategy Use

Across the sample, early adolescents used problem-focused (positive engagement) strategies more frequently than person-focused (acceptance) strategies. This tendency was evident in both the open-ended vignette responses and the serious game data, suggesting that even at this early stage of adolescence, young people often focus on addressing problems directly rather than offering purely emotional support. In the vignette task, the median number of positive-engagement strategies was 3, compared with 1 for acceptance. In the game task, the median was 6 for positive engagement and 3 for acceptance, mirroring the same directional pattern.

3.3. Sex and Gender Differences in iER Strategies

3.3.1. Open-Ended Vignette Task

Results of the Poisson regression models are shown in Table 3. A significant effect of sex emerged for the acceptance cluster, with girls generating more acceptance-related strategies than boys. No significant differences were found for the positive-engagement cluster. Femininity and masculinity scores did not significantly predict the number of strategies produced, although femininity showed a non-significant positive trend. These findings partially support Hypothesis 1, indicating that girls, consistent with socialisation emphasising empathy and relational focus, spontaneously produced more person-centred strategies.

3.3.2. Questionnaire (EROS)

Table 4 displays the logistic regression results for the EROS self-report data. Sex predicted both clusters: girls were more likely than boys to endorse high use of acceptance and positive-engagement strategies. When femininity and masculinity were added, femininity predicted greater use of acceptance strategies, whereas masculinity predicted greater use of positive engagement. In the combined models, both sex and gender orientation remained significant predictors for their respective clusters. These results support Hypothesis 1, suggesting that biological and psychosocial aspects of gender jointly shape how adolescents regulate others’ emotions in reflective contexts.

3.3.3. Serious Game Task

Analyses of the serious-game data yielded no statistically significant effects of sex, femininity, or masculinity on the frequency of adaptive strategy choices (Table 5). Only a non-significant trend was observed for femininity predicting higher selection of positive-engagement strategies. These null findings suggest that in interactive, ecologically valid contexts, sex and gender differences in iER strategy use become less pronounced.
This partially supports Hypothesis 2, which predicted smaller differences in spontaneous behavioural contexts relative to reflective tasks.

4. Discussion

This study examined sex and gender role orientation differences in adolescents’ iER using a multi-method design. Across measures, girls and adolescents scoring higher in femininity tended to use more person-focused (acceptance) strategies, while boys and those higher in masculinity favoured problem-focused (positive engagement) strategies. These effects appeared in reflective contexts (vignettes and questionnaires) but were not evident in the interactive game task. This pattern suggests that gendered tendencies in iER are more pronounced when behaviour is consciously reported than when enacted spontaneously in social interaction.

4.1. Sex and Gender Role Orientation in Interpersonal Emotion Regulation

The findings extend prior research showing that women and girls tend to employ more interpersonal and emotion-focused strategies than men [28]. The present results indicate that these patterns emerge already in early adolescence, a developmental period when social expectations surrounding gender and emotion intensify [13]. Although all adolescents in our sample more frequently used problem-focused than person-focused strategies overall, girls’ greater use of person-centred strategies may reflect early internalisation of gender norms emphasising empathy, nurturance, and interpersonal sensitivity [12,17]. By contrast, boys’ tendency towards problem-focused responses may align with masculine norms that value agency and solution-oriented action [29]. The fact that both biological sex and self-reported gender traits predicted iER strategy use underscores that gendered socialisation processes rather than biological differences alone shape adolescents’ approaches to others’ emotions. These findings support conceptual models that distinguish between sex and gender as interacting yet separable influences on social-emotional behaviour [10].

4.2. Contextual and Methodological Effects

A notable finding was that sex and gender differences were strongest in the self-report and vignette tasks but disappeared in the interactive game. This pattern likely reflects the influence of context and measurement modality on gendered responding. In reflective tasks, participants may rely on internalised stereotypes about “how boys or girls should behave” [18,22], whereas interactive tasks evoke more immediate, situationally driven behaviour less constrained by self-presentation concerns. Similar context-dependent differences have been reported in recent real-time investigations of adolescents’ iER with parents and peers [7] and in studies demonstrating the facilitating role of peer interaction in emotion regulation [9]. These findings also illustrate the value of multi-method designs in developmental psychology. By combining open-ended, self-report, and behavioural measures, we could identify convergence and divergence between adolescents’ perceived and enacted regulation tendencies. Such approaches are essential for capturing social-emotional processes that are both conscious and automatic in nature.

4.3. Developmental Implications

Early adolescence appears to be a formative stage for the consolidation of gendered emotion regulation patterns. Consistent with the Gender Intensification Hypothesis, this period involves heightened awareness of peer norms and social comparison [13]. Parental and peer emotion socialisation jointly contribute to these trajectories [5], and girls may receive more encouragement to engage emotionally with others, whereas boys may be steered towards action and independence. From a developmental perspective, the attenuation of sex/gender differences in interactive contexts might indicate that, despite socialised expectations, adolescents share similar capacities for prosocial emotion regulation when situational demands override self-concept. This finding resonates with recent evidence that effective iER predicts social competence and wellbeing irrespective of sex [6].

4.4. Strengths and Limitations

The study’s strengths include its large sample, inclusion of both biological and psychosocial gender indicators, and the use of multiple complementary methodologies. These design features respond directly to recent calls for clearer conceptualisation and more ecologically valid research on iER [3,7].
However, several limitations should be noted. The cross-sectional design precludes conclusions about developmental change. The game task, while ecologically valuable, forced participants to select adaptive responses, which may have constrained behavioural variability. Furthermore, our sample consisted primarily of Austrian and German adolescents, limiting cultural generalisability. Finally, participants who selected non-binary options were too few to analyse separately, highlighting the need for more inclusive samples in future research.

4.5. Future Directions and Practical Implications

Future studies could examine how iER develops. Differentiating between emotional contexts (e.g., sadness versus anger) or relational targets (parents, peers) may reveal finer-grained mechanisms. Extending this work to more diverse gender identities and cultural backgrounds would further enhance inclusivity and external validity. Practically, understanding gendered patterns of iER can inform school-based programmes that promote empathy, cooperation, and emotional competence among adolescents. Emphasising that both person-focused and problem-focused strategies are valuable may help counteract restrictive gender norms and foster more flexible social-emotional repertoires.
uthors should discuss the results and how they can be interpreted from the perspective of previous studies and of the working hypotheses. The findings and their implications should be discussed in the broadest context possible. Future research directions may also be highlighted.

5. Conclusions

In summary, this study provides novel evidence that both biological sex and gender role orientation shape early adolescents’ iER, yet these effects depend on the social and methodological context in which behaviour is observed. By integrating multiple methods and separating sex from gender, the study advances understanding of how young people learn to manage others’ emotions at a pivotal stage of social development.

Author Contributions

Gloria Mittmann – Conceptualisation, investigation, data curation, writing – original draft, writing – review and editing; Beate Schrank – Conceptualisation, funding acquisition, supervision, writing – review and editing; Verena Steiner-Hofbauer – writing – review and editing; Susanne Siegmann – Formal analysis; Sonja Zehetmayer – Formal analysis; writing – review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of the Karl Landsteiner University (EK 1075/2020).

Informed Consent Statement

All participants provided informed consent prior to participation.

Data Availability Statement

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ER Emotion regulation
EROS Emotion Regulation of Others and Self Scale
GRI-JUG Gender Role Self-Concept in Adolescence
IARC Interpersonal Affect Regulation Classification
iER Interpersonal emotion regulation
DOAJ Directory of open access journals
TLA Three letter acronym
LD Linear dichroism

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Figure 1. Vignettes used to depict situations that require the use of iER strategies. From left: 1. Fear - An early adolescent is scared of a spider. 2. Embarrassment - An early adolescent trips over in front of their peers. 3. Sadness - An early adolescent is being excluded by their peers. 4. An early adolescent is angry because someone broke their phone.
Figure 1. Vignettes used to depict situations that require the use of iER strategies. From left: 1. Fear - An early adolescent is scared of a spider. 2. Embarrassment - An early adolescent trips over in front of their peers. 3. Sadness - An early adolescent is being excluded by their peers. 4. An early adolescent is angry because someone broke their phone.
Preprints 185477 g001
Table 1. Classification of adaptive iER by Niven, Totterdell [8].
Table 1. Classification of adaptive iER by Niven, Totterdell [8].
Cluster Definition Example Strategies
Positive engagement Strategies aimed at improving how the target feels about a situation by changing the situation or perspective. Giving advice, helping solve a problem, reframing the event.
Acceptance Strategies aimed at validating or supporting the person without directly addressing the problem.Strategies aimed at validating or supporting the person without directly addressing the problem. Listening, showing empathy, comforting, offering attention.
Table 2. Descriptive statistics for females and males.
Table 2. Descriptive statistics for females and males.
f m p1
n
Age (mean (SD))
Femininity (median [IQR])
141 181
12.01 (1.39) 12.85 (1.64)
6.00 [5.00, 6.00] 5.00 [5.00, 6.00] 0.001
Masculinity (median [IQR])
Femininity(pos) (median [IQR])
6.00 [6.00, 7.00] 6.00 [6.00, 7.00] 0.026
3.00 [3.00, 4.00] 3.00 [3.00, 4.00] 0.001
Femininity(neg) (median [IQR])
Masculinity(pos) (median [IQR])
n
2.00 [2.00, 3.00] 2.00 [2.00, 2.00] 0.241
4.00 [3.00, 4.00] 4.00 [4.00, 4.00] 0.042
2.00 [2.00, 3.00] 2.00 [2.00, 3.00] 0.178
1 The p-value gives the results of the Wilcoxon test, which is a rank sum test comparing ranks of the observations.
Table 3. Poisson regressions for vignette task predicting iER strategy frequency by sex and gender role orientation.
Table 3. Poisson regressions for vignette task predicting iER strategy frequency by sex and gender role orientation.
Estimate z value p-value
Positive engagement: sex
Positive engagement: masculinity
Positive engagement: femininity
-0.036 -0.53 0.594
0.042 1.41 0.160
0.042 1.41 0.160
Acceptance: sex
Acceptance: masculinity
-0.422 -4.26 0.000
0.049 1.11 0.269
Acceptance: femininity 0.057 1.23 0.217
Table 4. Logistic regressions for EROS questionnaire by sex and gender role orientation.
Table 4. Logistic regressions for EROS questionnaire by sex and gender role orientation.
Univariate logistic regression for EROS Estimate z value
Positive engagement: sex
Positive engagement: masculinity
Positive engagement: femininity
0.39 (0.21 - 0.69) 0.002
1.37 (1.05 - 1.80) 0.020
1.50 (1.14 - 2.00) 0.005
Acceptance: sex
Acceptance: masculinity
0.30 (0.18 - 0.50) 0.000
1.09 (1.14 - 2.00) 0.469
Acceptance: femininity 1.41 (1.11 - 1.82) 0.006
Multiple model for the positive engagement cluster and the acceptance cluster in the EROS OR (95% CI) p-value
Positive engagement: sex 0.38 (0.20 - 0.70) 0.002
Positive engagement: femininity 1.25 (0.93 - 1.70) 0.147
Positive engagement: masculinity 1.38 (1.03 - 1.86) 0.032
Acceptance: sex 0.32 (0.19 - 0.54) 0.000
Acceptance: femininity 1.29 (1.01 - 1.67) 0.044
Table 5. Poisson regressions for serious game task predicting iER strategy choice by sex and gender role orientation.
Table 5. Poisson regressions for serious game task predicting iER strategy choice by sex and gender role orientation.
Estimate z value p-value
Positive engagement: sex
Positive engagement: masculinity
Positive engagement: femininity
-0.067 -0.84 0.402
0.011 0.30 0.761
0.080 1.91 0.056
Acceptance: sex
Acceptance: masculinity
-0.050 -0.45 0.652
-0.049 -1.00 0.316
Acceptance: femininity -0.058 -1.03 0.301
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