2. Materials and Methods
2.1. Initial Sampling and Procedure for Items’ Generation
The study took place between May 2023 and July 2024. To compile a comprehensive list of reasons for the use of swear words among athletes and coaches during both training and competition, a sample of 15 professional athletes and coaches was recruited. They were aged
M = 33.07,
SD = 11.98 years, representing both males (n = 11) and females (n = 4) from different sporting disciplines (basketball n = 4, soccer n = 5, modern pentathlon n = 1, Olympic weightlifting n = 1, swimming n = 1, powerlifting n = 2, bodybuilding n = 1, mixed martial arts n = 1). Recruitment efforts included social media advertising, direct outreach to athletes receiving mental services, and colleague referrals. Participants were engaged in structured phone interviews to acquire representative data on swearing behaviors in sports, each lasting approximately 10 min. Before beginning the interview, participants were informed about the study’s objectives and assured of the confidentiality of their responses. During the interview, participants were asked the following question: “During training and competitions, do you personally use any swear words? If yes, please indicate the reason you use swear words during training and competitions.” To ensure thorough data collection, we also asked, “Are there any other reasons you might swear as a part of your ST?” and provided examples of challenging scenarios in training and competition that might prompt a swearing response. The responses from the initial inquiry guided the development of the Reasons for Swearing in Sport and Exercise Questionnaire (RSSEQ). A final list of 26 reasons was developed after the data collection and analysis process (see
Table 1). Two sport and exercise psychology specialists reviewed these items, one holding a PhD and the other a professorial position, and both agreed on the final list. The responses from the initial inquiry guided the development of two instruments: the Use of Swear Words in Sport and Exercise Questionnaire (USWSEQ) and the RSSEQ. Due to space constraints, the development process of the USWSEQ is reported separately.
2.2. Data Generation
Participants were recruited through social media advertisements; by email outreach to sport organizations, aiming to engage their athletes and coaches; and by asking peers who work with athletes to distribute the questionnaires. To recruit participants effectively, an incentive was provided: all participants were offered entry into a lottery, with three winners receiving a spa package. Data collection was facilitated using the Google Forms platform. The sample comprised active and retired competitive coaches, athletes, and recreational exercisers. Participants were recruited from various competitive backgrounds, representing different levels of competition. Competitive athletes and coaches were eligible for inclusion if they had competed within the past 12 months in a recognized league or tournament at the regional, national, or international level. This criterion, which included involvement in professional leagues, major national championships, or internationally sanctioned events, ensured they maintained their experience in structured, competitive environments.
Moreover, recreational exercisers were included if they had adhered to an exercise regimen for at least 6 months, training at least twice per week, without competing in formal leagues or tournaments. For retired athletes and coaches, inclusion consisted of declared previous competitive or coaching involvement at a recognized level (e.g., regional, national, or international levels). Although they were no longer actively competing or coaching, these participants indicated past engagement in structured, competitive sports, aligning them with the profiles of current athletes and coaches regarding professional experience. The diverse participant pool provided a comprehensive dataset which could be used for conducting exploratory factor analysis (EFA), ensuring that the findings would reflect a broad spectrum of athletic experiences and recreational exercisers.
Ultimately, 333 participants were recruited (Mage = 32.8, SD = 12.7), including 172 females (51.6%), 157 males (47.2%), and 4 participants (1.2%) who selected “prefer not to say”. Of these, 156 (46.8%) were competitive athletes or coaches, and 177 (53.2%) were recreational athletes; 147 (44.1%) held a high school diploma, and 98 (29.4%) had earned a bachelor’s degree, 61 (18.3%) a master’s degree, and 1 (0.3%) a PhD, while 26 (7.8%) reported “other”. A total of 140 (42.0%) reported more than 10 years of professional experience, 83 (24.9%) 6–10 years, 77 (23.1%) 3–5 years, 28 (8.4%) 1–2 years, and 5 (1.5%) reported less than one year. Of these, 24 (7.2%) trained more than 20 h per week, 36 (10.8%) 16–20 h, 69 (20.7%) 11–15 h, 147 (44.1%) 5–10 h, and 57 (17.1%) trained fewer than 5 h per week.
2.3. Instrumentation
Demographic questionnaire (DM). The DM was designed to gain information about demographic variables such as age, gender, nationality, educational background, primary sport of interest, weekly hours of training, and years of experience.
Reasons for Swearing in Sport and Exercise Questionnaire (RSSEQ). Participants were given a list of 26 reasons and asked to rate the extent to which they agreed with each reason with respect to their ST. Responses were made on a Likert-type scale ranging from 1 (not at all) to 5 (to a very great extent).
The Competitive Aggressiveness and Anger Questionnaire (CAAS;
Maxwell & Moores, 2007). The CAAS is a 12-item self-report questionnaire designed to measure athletes’ perceived aggressiveness and anger during athletic competitions. The CAAS is partitioned into two 6-item subscales: one for anger and one for aggressiveness. It employs a 5-point Likert-type scale ranging from 1 (almost never) to 5 (almost always) for responses. A sample item from the anger subscale reads as follows: “I find it difficult to control my temper during a match”. A sample item from the aggressiveness subscale reads as follows: “It is acceptable to use illegal physical force to gain an advantage”. Confirmatory factor analysis conducted by the authors indicated robust internal consistencies for the subscales and the overall scale score, including Cronbach’s alpha coefficients for anger (α = 0.78), aggressiveness (α = 0.84), and the total scale (α = 0.87).
The Brief Aggression Questionnaire (BAQ;
Webster et al., 2014). The BAQ is a 12-item self-report measure designed to assess trait aggression, derived from the Buss–Perry Trait Aggression Scale (
Buss & Perry, 1992). Participants are asked to rate the extent to which various statements reflecting behaviors and emotions are characteristic of them on a 5-point Likert-type scale ranging from 1 (strongly disagree) to 5 (strongly agree). The BAQ measures aggression across four sub-dimensions: physical aggression (e.g., “given enough provocation, I may hit another person”), verbal aggression (e.g., “I tell my friends openly when I disagree with them”), hostility (e.g., “other people always seem to get the breaks”), and anger-related emotion (e.g., “I have trouble controlling my temper”). Scores for these dimensions are averaged to yield a global score, with higher scores indicating higher levels of trait aggression. The BAQ is a valid and reliable measure, demonstrating strong and significant temporal stability, and ranging from 0.68 to 0.80 across the four subscales while reaching 0.81 for the overall BAQ (
Webster et al., 2015). It also demonstrates robust convergent validity with established measures of aggression, including strong correlations, ranging from r = 0.75–0.85, with the Buss–Perry Aggression Questionnaire (
Webster et al., 2014). Cronbach’s alpha reliability of the complete questionnaire in the current study was 0.71.
2.4. Procedure
Before data collection, ethics clearance was obtained from Ariel University’s IRB committee (Confirmation Number: AU-HEA-GT-20240307). Participants were informed about the purpose of the study, assured of their anonymity and confidentiality, and provided informed consent before proceeding. Data were collected electronically using Google Forms, with participants completing a demographic questionnaire, followed by the RSSEQ. Subsequently, the aggression-related measures were administered: the CAAS and the BAQ were given to athletes and coaches, while recreational exercisers completed only the BAQ. This research employed AI-enabled tools to generate and refine text. In particular, we used OpenAI’s ChatGPT (version 7 March,
OpenAI, 2025, San Francisco, CA, USA) to improve clarity, grammar, and coherence during the writing process. However, the use of the AI tool was kept to a minimum, and it was not utilized for data analysis or hypothesis development.
2.5. Data Analysis
The sample size for this phase adhered to empirical recommendations for factor analysis (
De Vellis, 2003;
Lakens, 2022), ensuring sufficient statistical power and robust data analysis. An exploratory factor analysis (EFA) was conducted to determine the RSSEQ factor structure. The analysis utilized maximum likelihood estimation followed by Oblimin rotation. The suitability of the data was assessed by using the Kaiser–Meyer–Olkin (KMO) measure of sampling adequacy and Bartlett’s Test of Sphericity (BTS). Factors were retained based on the criterion of eigenvalues > 1.0. The EFA was performed on the 26 items of the initial RSSEQ to explore its underlying factor structure.
3. Results
The initial EFA revealed a four-factor structure accounting for 63.53% of the variance. The KMO measure of sampling adequacy was 0.94, and BTS was significant,
χ2(325) = 6367.31,
p < 0.001, indicating that the items maintained common variance sufficient for factor analysis. Item S25 was removed due to cross-loadings with factors 1 and 4, while item S26 was removed due to cross-loadings with factors 1 and 2. Factor 4 consisted of two items and was therefore eliminated. A second EFA was conducted on the remaining 24 items, revealing a three-factor structure accounting for 61.18% of the variance. The KMO measure of sampling adequacy was 0.94, and BTS was significant,
χ2(276) = 5818.02,
p < 0.001. The S21 cross-loaded on factors 1 and 2 and therefore was removed. A third EFA was conducted on the remaining 23 items. The KMO measure of sampling adequacy was 0.94, and BTS was significant,
χ2(253) = 5509.38,
p < 0.001. Item S19 had a factor loading of 1.005. Given its theoretical importance and the absence of significant statistical concerns (e.g., no extreme communalities or multicollinearity), it was retained for further analysis in the confirmatory factor analysis (CFA) to assess its stability within the overall model. No other items were cross-loaded. All retained items exceeded the recommended loading threshold of 0.50 (
Fabrigar et al., 1999). The three factors were defined as follows: (1) Stress and Emotional Catharsis (Factor 1; eleven items)—reflects the use of swearing to release frustration, vent negative and intense emotions, and manage stress. This factor encompasses expressions aimed at alleviating anger, reducing tension, coping with disappointment, and channeling emotional intensity to maintain focus and composure during critical moments in training and competition; (2) Mental Strength Enhancement (Factor 2; ten items)—refers to swearing used as a psychological tool to strengthen confidence, sustain motivation, and enhance mental readiness. It involves verbal expressions that foster resilience, sharpen focus, regulate emotions, and optimize cognitive functioning to support peak performance, especially under stressful or challenging moments; and (3) Coping with Physical Pain and Discomfort (Factor 3; three items)—involves using swearing as a mental strategy to withstand pain, manage physical strain, and sustain performance in sports. This third factor includes verbal expressions that aid in pain tolerance, divert attention from discomfort, and reinforce mental toughness in the face of injuries or physical challenges. The results of the second EFA are presented in
Table 2. The final structure provides a solid confirmatory factor analysis (CFA) foundation.
3.1. Sampling and Procedure
The CFA aimed to test the factor structure established by the EFA, verifying the reliability and validity of the identified three-factor structure of reasons for swearing. In sum, 180 participants were included in the CFA procedure (Mage = 32.28 years, SD = 11.01), of whom 82 (45.8%) were female, 96 (53.6%) were male, and 2 (0.6%) were unspecified. Of these, 87 (48.6%) were competitive athletes, coaches, or retired competitive individuals; 92 (51.4%) were recreational athletes; and one (0.6%) was unspecified. The highest-reported level of education of the participants was high school, with ninety-two (51.1%); followed by BA, with sixty-four (35.6%); others, eight (4.4%); and PhD, sixteen (8.9%). A total of 60 competitive athletes and coaches reported participating in individual sports, while 26 reported participating in team sports. We followed an identical protocol to that performed in the EFA stage, including similar incentives, to maintain consistency and ensure comparability of results.
3.2. Statistical Analysis
CFA was conducted to evaluate the measurement model. Reliability was assessed using Cronbach’s alpha, with values exceeding the recommended threshold (α > 0.70;
Nunally, 1978). Composite Reliability (
CR) (≥0.70) and Average Variance Explained (AVE) (≥0.50) were also calculated to further evaluate construct reliability and convergent validity. Model fit was evaluated using several statistical indices in line with
Kline’s (
2015) guidelines: Chi-square to degrees-of-freedom ratio (
CMIN/df ≤ 3), Comparative Fit Index (
CFI ≥ 0.90), Tucker–Lewis Index (
TLI ≥ 0.90), Root Mean Square Error of Approximation (
RMSEA ≤ 0.08), and Standardized Root Mean Square Residual (
SRMR < 0.08).
The model’s fit coefficients are presented in
Table 3. Model 1, which included all 23 items, resulted in suboptimal fit indices:
χ2(249) = 804.70,
p < 0.001,
χ2/
df = 3.23,
CMIN/df = 3.23,
CFI = 0.85,
TLI = 0.83,
RMSEA = 0.11, and
SRMR = 0.08. These fit indices indicated a need for modifications to improve the model’s fit to the data. Items with high residual variances (>1) and weak factor loadings were identified and removed. Specifically, items 8, 9, and 19 were eliminated from the Stress and Emotional Catharsis factor; item 17 was removed from the Mental Strength Enhancement factor; and item 12 was removed from the Coping with Physical Pain and Discomfort factor. The refined model (Model 2) showed substantial improvements in its fit indices:
χ2(131) = 235.29,
p < 0.001,
χ2/
df = 1.79,
CFI = 0.92,
TLI = 0.95,
RMSEA = 0.06, and
SRMR = 0.05. All fit indices for Model 2 met or exceeded the recommended thresholds, indicating a strong fit between the refined measurement model and the observed data. Reliability analyses demonstrated high internal consistency across factors, with CA values of 0.93 for Factor 1, 0.94 for Factor 2, and 0.83 for Factor 3.
Figure 1 illustrates the final model’s factors and items’ loadings.
Table 4 presents the values for CA, CR, and AVE. Factor 1 resulted in CA = 0.93, CR = 0.93, and AVE = 0.61. Factor 2 showed a CA = 0.94, CR = 0.94, and AVE = 0.64. Factor 3 yielded a CA = 0.83, CR = 0.84, and AVE = 0.73. These values indicate good to excellent reliability and validity, supporting the robustness of the measurement model. Discriminant validity was assessed using the Fornell–Larcker criterion (
Table 5) and the Heterotrait–Monotrait ratio (HTMT) (
Table 6). As shown in
Table 4, the square roots of the AVE values (bold diagonal) exceeded the inter-factor correlations, confirming sufficient discriminant validity (
Fornell & Larcker, 1981). Additionally, all HTMT values were below the conservative threshold of 0.85, affirming adequate discriminant validity (
Henseler et al., 2015). These findings suggest that each dimension is sufficiently distinct, ensuring the model measures unique theoretical concepts.
3.3. Validity Procedures
Given the lack of validated measures that can be used to assess swearing, aggression and anger were chosen to construct-validate the RSSEQ. Research findings consistently show that swearing functions as a means of emotional expression, particularly for negative emotions like anger, frustration, and aggression (
Jay & Janschewitz, 2008;
Popuşoi et al., 2018;
Stapleton, 2003;
Rassin & Muris, 2005). Although ST constructs, such as the ‘Big Five’ personality traits, were considered, aggression and anger were emphasized due to their stronger empirical connections to the functional role of swearing. Additionally, gender, professional level, and sport type were analyzed to capture demographic and contextual variations in swearing behavior. The inclusion of exercisers, athletes, and coaches allowed for a comprehensive examination across different levels of sport involvement, fostering a nuanced understanding of how swearing functions within various roles and competitive contexts.
3.4. Construct Validity
A multivariate analysis of variance (MANOVA) was conducted to test the effects of gender (i.e., males vs. females), professional status (i.e., competitive vs. recreational), professional role (i.e., athlete vs. coach), and sport type (i.e., individual vs. team) on the three swearing-motivation dimensions. Gender resulted in a significant but small multivariate effect: Wilks’ λ = 0.927, F(3, 326) = 6.38, p < 0.001, ηp2 = 0.073. Follow-up ANOVAs indicated the non-significant effect of gender on Stress and Emotional Catharsis, F(1, 328) = 0.86, p = 0.35, ηp2 = 0.003, suggesting that males and females reported similar motivations for swearing as a form of emotional release. However, significant gender effects were identified for the other two factors, with Mental Strength Enhancement exhibiting a moderate effect, F(1, 328) = 18.67, p < 0.001, ηp2 = 0.054, and Coping with Physical Discomfort and Pain revealing a small-to-moderate effect, F(1, 328) = 7.72, p = 0.006, ηp2 = 0.023. These findings imply that while gender does not influence the use of swearing for stress relief, it does affect the motivation to swear for the purpose of enhancing mental strength and coping with physical pain and discomfort, with males showing higher usage than females. Professional level resulted in a small multivariate effect: Wilks’ λ = 0.970, F(3, 330) = 3.44, p = 0.02, pη2 = 0.030. Follow-up ANOVAs showed non-significant effects of professional level on Stress and Emotional Catharsis, F(1, 332) = 1.66, p = 0.198, ηp2 = 0.005; Mental Strength Enhancement, F(1, 332) = 0.82, p = 0.366, ηp2 = 0.002; and Coping with Physical Discomfort and Pain, F(1, 332) = 1.39, p = 0.24, ηp2 = 0.004; these results indicated no meaningful differences in swearing motivations between competitive and recreational athletes. Sport type resulted in a non-significant multivariate effect: Wilks’ λ = 0.95, F(3, 160) = 2.51, p = 0.061, ηp2 = 0.045. Professional role (i.e., athlete vs. coach) yielded a statistically significant multivariate effect, Wilks’ λ = 0.963, F(3, 247) = 3.14, p = 0.026, ηp2 = 0.037, indicating a small overall effect. Follow-up ANOVAs revealed that professional role significantly influenced Stress and Emotional Catharsis, F(1, 249) = 7.57, p = 0.006, ηp2 = 0.029, with athletes reporting higher usage than coaches. No significant differences were found for Mental Strength Enhancement (MSE), F(1, 249) = 2.64, p = 0.106, ηp2 = 0.010; or for Coping with Discomfort and Pain (CDP), F(1, 249) = 0.08, p = 0.772, ηp2 < 0.001. In summary, gender resulted in a small-to-moderate effect on swearing motivation, particularly for Mental Strength Enhancement and Coping with Physical Discomfort and Pain. Professional role revealed a small but significant effect, specifically, for Stress and Emotional Catharsis, with athletes reporting higher usage than coaches. However, sport type did not yield any meaningful differences across the three swearing-motivation factors.
3.5. Convergent Validity
The convergent validity of the RSSEQ was assessed by inspecting its correlations with the BAQ and CAAS questionnaires (see
Table 7). Significant positive moderate correlations were evident between the RSSEQ and both the BAQ overall score (
r = 0.42,
p < 0.001) and the CAAS overall score (
r = 0.44,
p < 0.001), supporting the theoretical alignment of the RSSEQ with these established psychological measures. With reference to the two CAAS factors, Anger was significantly and positively correlated with Stress and Emotional Catharsis (
r = 0.45,
p < 0.01) and with Coping with Physical Discomfort and Pain (
r = 0.25,
p < 0.01). In contrast, its correlation with Mental Strength Enhancement was not statistically significant (
r = 0.13,
p = 0.09). Aggressiveness was significantly and positively correlated with Stress and Emotional Catharsis (
r = 0.26,
p < 0.01), Mental Strength Enhancement (
r = 0.33,
p < 0.01), and Coping with Physical Discomfort and Pain (
r = 0.29,
p < 0.01). The correlations of the four BAQ factors were as follows: Physical Aggression was significantly and positively correlated with Stress and Emotional Catharsis (
r = 0.33,
p < 0.01), Mental Strength Enhancement (
r = 0.31,
p < 0.01), and Coping with Physical Discomfort and Pain (
r = 0.38,
p < 0.01). Anger was also significantly correlated with Stress and Emotional Catharsis (
r = 0.21,
p < 0.01), Mental Strength Enhancement (
r = 0.21,
p < 0.01), and Coping with Physical Discomfort and Pain (
r = 0.19,
p < 0.05). Verbal Aggression failed to significantly correlate with Stress and Emotional Catharsis (
r = 0.15,
p = 0.056), Mental Strength Enhancement (
r = 0.13,
p = 0.08), or Coping with Physical Discomfort and Pain (
r = 0.14,
p = 0.07). Hostility was positively associated with Stress and Emotional Catharsis (
r = 0.30,
p < 0.01), Mental Strength Enhancement (
r = 0.16,
p < 0.05), and Coping with Physical Discomfort and Pain (
r = 0.26,
p < 0.01).
3.6. Temporal Stability
A temporal stability analysis was performed to evaluate the consistency of participants’ responses over time. Responses were collected from 92 participants who underwent EFA at two points separated by a three-month interval. Spearman correlations were conducted for each item, with values ranging from 0.58 to 0.90; all
p < 0.001, indicating strong temporal stability. The full item-level results are presented in
Table 8.
4. Discussion
This study aimed to develop a valid and reliable questionnaire that could be used to assess the motivation for swearing, as an integral aspect of ST, among athletes, coaches, and recreational exercisers. To the best of our knowledge, this study is the first to provide empirical data and insights into the reasons sport and exercise participants swear during ST, offering a foundation for future research on this topic. Although swear words have distinct psychological effects that other forms of language miss (
Stapleton et al., 2022), swearing has long been overlooked in academic research, often dismissed as “trivial, distasteful, or otherwise unworthy of serious scholarship” (
Stapleton & Beers Fägersten, 2023, p. 148). However, recent studies have illuminated various positive effects of swearing, including enhanced pain-tolerance (
Hay et al., 2024) and physical performance (
Washmuth et al., 2024), and a state of increased self-confidence (
Stephens et al., 2023). In advancing this growing field, a key contribution of this study was the development of a psychometrically sound questionnaire that systematically examines the motivations behind the use of swear words, as a function of ST, among sport and exercise participants.
The RSSEQ resulted in a well-structured three-factor model encompassing 18 items, with each factor capturing a distinct motivational dimension for swearing: Stress and Emotional Catharsis (eight items), Mental Strength Enhancement (eight items), and Coping with Physical Discomfort and Pain (two items). The final model demonstrated a good overall fit, with all key indices meeting or exceeding recommended thresholds. The comparative fit indices indicated an adequate-to-strong model fit. Although some indices failed to reach the threshold for an excellent fit, the results confirm that the refined questionnaire provides a robust and reliable measurement framework, effectively capturing the intended dimensions and ensuring its suitability for research in sport and exercise psychology.
The first factor, Stress and Emotional Catharsis, captures the tendency to use swearing to release tension, frustration, or emotional distress during sports or exercise. This dimension reflects the notion that swearing serves as a psychological release valve (
Vingerhoets et al., 2013), allowing individuals to express intense emotions and relieve mental strain in high-pressure or physically demanding situations (
Jay & Janschewitz, 2008). This is consistent with prior research, since swearing has been recognized as an effective coping mechanism for emotional regulation, providing a swift and instinctive response to stress (
Husain et al., 2023;
Stephens & Zile, 2017). In sports contexts, where athletes and coaches frequently face performance-related pressure, swearing may provide an immediate and accessible tool for managing negative emotions, maintaining composure, and refocusing attention. For example, a tennis player who misses a crucial shot might swear under their breath to quickly vent frustration and mentally reset for the next point. From a practical standpoint, acknowledging this function of swearing can help sport psychologists, coaches, and practitioners understand its role in emotional self-regulation and potentially incorporate swear words into mental skills training to enhance emotional resilience and stress management in competitive and emotionally challenging settings.
The second factor, Mental Strength Enhancement, represents swearing as a tool for boosting confidence, determination, and resilience. Unlike emotional release, it emphasizes psychological empowerment, helping athletes to overcome anxiety, stay focused on the task, and sustain effort in challenging moments. It can also be considered a form of motivational ST, as it involves the intentional use of language to psychologically prime oneself for stressful and challenging moments (
Hardy et al., 2018;
Theodorakis et al., 2000). Future research must target the potential differences between traditional motivational ST (e.g., ‘you can do this!’) and swearing-based ST (e.g., ‘you’re fucking beating this guy!’) as to their effects on physical performance and psychological constructs such as self-efficacy, grit, and mental toughness. From an applied perspective, acknowledging that swearing can act as a motivational tool for certain individuals may assist practitioners in understanding athletes’ behaviors and developing tailored psychological strategies, when culturally and ethically suitable. However, it is not recommended to encourage practitioners to use strong language if they are uncomfortable with it. Instead, assessing their willingness to incorporate such language and ensuring that it aligns with their personal preferences is advisable.
The third factor, Coping with Physical Discomfort and Pain, encompasses swearing as a mechanism used for enduring physical exertion, fatigue, and pain during sport and exercise. In this context, swearing is a pain modulation strategy, allowing individuals to temporarily override discomfort and maintain effort during physically demanding tasks. Research findings support this effect, emphasizing the utility of swearing as a valuable psychological tool for athletes and exercisers, one used to effectively deal with unpleasant physical sensations (
Hay et al., 2024). For example, during an intense training session, a basketball player performing a grueling drill might mutter a swear word under their breath to ‘push through’ the pain and maintain effort. This strategy is not limited to sport and exercise; it can also be applied in other contexts, such as physiotherapy, a field in which certain activities or rehabilitation exercises may induce pain (
Washmuth & Stephens, 2022). In such settings, swearing can serve as a temporary coping mechanism to help patients manage discomfort and adhere to treatment plans. By recognizing this aspect of swearing, sports and exercise practitioners, along with healthcare professionals, can better understand its role in assisting individuals during physically painful moments.
Analysis of gender differences in swearing motivation revealed that males were more likely to swear for mental strength enhancement and coping with physical discomfort and pain, while no significant difference was observed for stress or emotional catharsis. This indicates that both males and females are similarly motivated to swear to relieve stress and tension during frustrating situations, such as missing an important shot or being substituted for against their will, while males tend more often to use swearing as a psychological priming tool, compared to females. In light of that, some research shows that male athletes report lower states of anxiety during competition, compared to female athletes (
Dias et al., 2010), suggesting that male athletes may naturally adopt strategies that reinforce higher mental toughness (
Nicholls et al., 2008;
Sheard et al., 2009). Given that swearing is believed to provide psychological benefits which extend beyond conventional language (
Stapleton et al., 2022), it is possible that male athletes engage in swearing—consciously or unconsciously (
Jay, 2009)—to optimize their psychological readiness for competition. For example,
Stephens et al. (
2023) found that swearing before a physical task enhanced the state of self-confidence, a key component of mental toughness (
Clough et al., 2002;
Jones et al., 2002,
2007). Moreover, swearing before or during challenging moments may promote a challenge state rather than a threat state, enhancing emotional preparedness and adaptive arousal. Thus, in certain contexts, swearing may support psychological readiness, even within populations less likely to engage in such behavior. However, this hypothesis requires further investigation. Specifically, we did not assess factors which might prevent individuals from using swear words, and are thus unable to determine with certainty whether females swear less due to social norms. Future studies must explore potential barriers that discourage female athletes, coaches, and recreational exercisers from swearing, as no research has directly examined this question within an athletic population. Furthermore, more research must target the questions of whether swearing actively contributes to pre-competition self-confidence and emotional regulation, and when athletes swear most frequently—whether as part of a pre-performance routine to prepare mentally or during the competition itself to sustain effort and manage adversity. Recognizing these patterns will provide deeper insights into the strategic use of swearing in high-performance settings.
We also found that professional levels (e.g., competitive athletes and coaches vs. recreational athletes) were not associated with significant effects on swearing motivation, indicating that both professional and recreational athletes share the same motivation for swearing. This finding suggests that using swearing as a psychological and performance-related tool is not exclusive to high-level competition but rather a broader phenomenon across different levels of sport and exercise participation. One possible explanation is that swearing is a deeply ingrained and instinctive verbal response to emotional, cognitive, and physical stressors (
Van Lancker & Cummings, 1999), making it a natural reaction regardless of one’s level of competitiveness or professional involvement in sport. Therefore, the fact that both cohorts exhibit similar swearing patterns may reflect its universal function in managing effort, sustaining motivation, and regulating emotions in physically and mentally demanding situations. In practical terms, these findings suggest that swearing can be relevant as a psychological tool across different levels of sport participation.
Sport type (individual vs. team sports) failed to significantly influence swearing motivation. This suggests that athletes and coaches in both individual and team sports use swearing for similar reasons, across all three factors. We speculate that individual and team sport athletes experience similar psychological and physical demands, such as performance pressure, pain tolerance, and motivation. Whether competing alone or within a team, athletes still face moments of frustration, fatigue, and high-intensity effort, moments in which swearing may provide a spontaneous and instinctive way to regulate emotions and maintain performance.
Finally, athletes reported a significantly greater use of swearing for emotional release than did coaches, likely because of the immediate physical and emotional pressures athletes encounter during performance. In contrast, coaches may utilize more controlled verbal techniques that align with their leadership responsibilities. Nonetheless, no significant differences were found regarding mental strength enhancement, indicating that both athletes and coaches consider intense language a legitimate motivational tool. However, one must consider that the sample consisted of more athletes than coaches, which could have affected the outcomes and limited the generalizability of the findings. More research using more balanced samples of athletes and coaches is required to further explore potential differences in swearing motivations related to these roles.
Limitations
This study has several limitations which must be considered when interpreting the findings. First, the sample consisted exclusively of Israeli participants, limiting the generalizability of the results to other cultural contexts. Since language, social norms, and attitudes toward swearing vary across countries and cultures, future research must validate the questionnaire in diverse populations. Second, swearing is a socially and culturally sensitive topic (
Jay & Janschewitz, 2008), and participants may have underreported or misrepresented their motivations due to social desirability bias or personal discomfort, particularly those from religious or conservative backgrounds. Third, as the study relied on self-reporting measures, participants may have had difficulty accurately recalling the reasons for their swearing during sport, leading to potential recall bias. Additionally, since the sample included both competitive and recreational athletes, differences in swearing motivation across various levels of competition were not examined in detail (e.g., elite vs. regional, youth vs. adults). Similarly, while no significant differences were found between individual and team sport athletes, the study did not explore variations across specific sport types (e.g., contact vs. non-contact sports, endurance vs. short-duration sports) that might possibly influence swearing behaviors.