Abstract
Introduction:
Physical activity benefits mental health, yet the effects of emerging sports like padel and pickleball are understudied despite their accessibility and growth—300,000 amateur padel players worldwide and a 223.5% rise in U. S. pickleball players (2020–2023). This systematic review examines their association with mental health, wellbeing, and mental fatigue.
Methods:
An electronic search of Medline, PsycINFO, and Embase (inception to October 8, 2024; PROSPERO CRD42024594743) identified quantitative and observational studies on padel or pickleball participation and mental health or wellbeing outcomes.
Results:
Fourteen of 71 studies (n = 1,403) were included. Pickleball enhances wellbeing, life satisfaction (p < 0.05), happiness (r = 0.263, p < 0.001), depression (r = −0.23, p < 0.01), and social integration, especially in older adults. In padel, higher-level and match-winning players show increased self-confidence and reduced somatic anxiety; pre-competition anxiety rises, varies by gender and score, and is lower than in tennis. Mental fatigue increases with successive padel games, impairing accuracy (p = 0.05) and linking to elevated motivation.
Conclusion:
Mental health research on padel and pickleball has expanded, revealing distinct areas of focus. Padel studies primarily target performance aspects like self-confidence, anxiety, and mental fatigue, while pickleball research highlights wellbeing gains in life satisfaction, happiness, and social integration. However, gaps remain, particularly regarding the exploration of wellbeing in padel and performance-related mental health (e.g., anxiety, fatigue) in pickleball across diverse age groups to address these gaps. Future studies should address these gaps and consider diverse age groups to provide a more comprehensive understanding.
Systematic review registration:
PROSPERO: The Unique Identifier is CRD42024594743, and the publicly accessible URL is https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024594743.
1 Introduction
Over 40% of the global population fails to meet physical activity guidelines (WHO, 2024; ), missing established benefits to cognitive, mental, and physical health (; ). Addressing this inactivity crisis requires innovative, inclusive, and enjoyable exercise options. Padel and pickleball, emerging racket sports, are gaining traction, with 300,000 amateur and 600,000 federated padel players across 130 + countries () and a 223.5% increase in U. S. pickleball players from 2020 to 2023 (SFIA Pickleheads, 2024). Interest in research is also rising (), as padel has been identified as a driver of wellbeing and sustainable local growth ().
Their popularity stems from low technical barriers (Sánchez-Alcaraz and Courel-Ibáñez, 2022), social engagement (Smith et al., 2017), enjoyment (), affordability (Wray et al., 2021), age inclusivity (), and outdoor settings enhancing wellbeing (). Padel peaks among ages 35–43 (), while pickleball attracts mostly those over 50 (), though younger players are increasing (USA Pickleball Association, 2022). Intensity varies from low to vigorous (; ), broadening accessibility.
Padel involves quick changes of direction, short sprints and precise shots on a fenced-in plastic field made of glass and metal (20 × 10 m) (). The ability to bounce the ball off the walls introduces a unique tactical element and creates a dynamic and fast-paced style of play without increasing physical intensity (; ). Recently, it has been emphasized that padel is mentally and physically demanding, as it is a cognitively demanding activity where players must make decisions in a complex environment under time pressure (; ).
In contrast, pickleball is played on a smaller court (13.41 × 6.1 m) using a perforated plastic ball that reaches lower speeds compared to other racket sports (). This setup reduces physical intensity while emphasizing social interaction and strategic play over technical gestures ().
Studies have explored physical fitness, injury risk (), attentional focus (Starzak et al., 2024), and performance metrics (e.g., , ), alongside cardiovascular () and brain health benefits (). Yet, mental health and wellbeing remain underexplored, despite evidence of mental fatigue in racket sports affecting performance (; ) and motivation’s role in fatigue tolerance (). Current literature prioritizes physical outcomes, particularly in padel (Sabe et al., 2022), leaving a gap in mental health research.
Thus, this systematic review investigates the association between regular padel and pickleball play and mental health, wellbeing, and mental fatigue.
2 Methods
This systematic review was registered in the International Prospective Register of Systematic Reviews (PROSPERO: CRD42024594743) and conducted in accordance with the Prisma Statement ().
2.1 Search strategy and selection criteria
An electronic search was conducted in the following databases Medline(r), Psychinfo, Embase for any quantitative study (interventions, controlled trials, pre and post-test studies) and observational studies (cohort or cross-sectional studies) that measured the relationship between padel or pickleball participation and wellbeing or mental health in humans. Studies comparing an intervention of padel or pickleball and another racket sport (e.g., badminton, tennis), any other sport or no sport were included. Only articles published in English and German were considered.
The search terms used were (padel or pickleball) and mental health (wellbeing or mental or stress or eustress or distress or depression or mental disorder or emotional functioning or anxiety or self-confidence or lifestyle or social or quality of life or emotion). Upon conduction of the searches, duplicates were removed electronically. The reference lists of eligible articles from all existing reviews investigating the mental health or wellbeing effects of padel and pickleball were screened to identify potentially eligible articles. One author undertook the abstract and full text screening, and these were independently verified by a second author. If a paper was not available in full text but was considered potentially suitable, the corresponding authors were contacted (n = 1). A PRISMA flowchart was created to document the study selection process.
2.2 Primary outcome
The primary outcome was the mental health and wellbeing effects of padel and pickleball. Although there is no universally accepted definition of wellbeing, nor a universally accepted or standardized tool for assessing wellbeing, it is associated with a positive state of mind (). Mental health can be understood as a person’s ability to think and act in a way that promotes their own wellbeing and helps with stress management and awareness of personal and social boundaries (Encyclopædia, 2024).
2.3 Secondary outcome
Any other health-related outcomes were considered including:
Perception of stress (e.g., eustress, distress).
Lifestyle changes (e.g., changes in diet, physical activity level).
Social outcomes (e.g., communication, fun, social contact).
Quality of life (measured by any established questionnaires).
Emotional functioning (e.g., self-confidence, anxiety).
2.4 Data extraction
Data were extracted by one author and independently verified by a second author. Inter-rater reliability was first determined before the screening process by randomly selecting 20% of all trials. Both reviewers checked and compared their decisions based on these studies. Only if a match of 95% or more was found, both reviewers independently performed abstract and title screening. Data from the studies included were extracted by the reviewers using a standardized Excel form developed for the review. This included information on publication year and country, study design, study setting, participant and intervention characteristics, follow-up details, primary and secondary outcomes and confounders. If data were missing or details were unclear, the corresponding author of the study was contacted for verification.
2.5 Study quality assessment
The quality assessment was carried out by one independent assessors using the PEDro scales for controlled trials () and the Newcastle Ottawa scale for observational studies (Wells et al., 2000). These were reviewed by a second author. While a maximum of 10 points can be achieved on the PEDro scale (), 9 stars is the maximum on the Newcastle Ottawa scale (Wells et al., 2000). The quality of the study assessed using the PEDro scale was categorized as follows: “excellent” (9–10), “good” (6–8), “fair” (4–5), “poor” (0–3). The classification of the quality of the NOS is not as standardized as the PEDro Scale, but in the literature 7–9 points are often considered high quality, 4–6 points as moderate quality and anything <4 points as poor quality with a high risk of bias.
2.6 Data analysis
The data captured for each study was summarized in a narrative synthesis. For intervention studies, any quantitative data including the mean, mean differences, effect sizes and 95% Confidence intervals (CI) were reported as well as any inferential data from observational studies that report an association between padel or pickleball and mental health or wellbeing and the adjusted confounders. To improve the comparability of the studies, the tables of characteristics of the included studies were categorized into the following three thematic areas: Mental Health, Anxiety and Mental Fatigue. The results are presented in three columns in Table 1 for clarity.
Table 1
| Author (publication year) | Sport, level, investigation | Mental health | Mental fatigue | Anxiety |
|---|---|---|---|---|
| Pickleball, recreational Seniors, pre-post-COVID-19 | Limited where and how seniors get PA, but many are still active Socializing ↓ Perceived physical health ↔ Mental health ↓, Loneliness ↑ Life satisfaction ↓ | |||
| Padel, different level (C1-C3) | SC ↑ in higher category players than lower category players Category, BMI and experience predicted 82% of the variance of SC | SA ↓ and CA ↑ in higher category players than lower category players | ||
| Padel, high level | SC was not affected by ranking, seed, result or round ↔ | CA, SA, STA not affected by ranking, result↔ CA ↓ for seeded players STA ↓ for winners in M1 STA ↓ in M2 than in M1 Lower ranked players: SA and STA ↑ in R16 than M2 STA ↑ in M1 than M3 | ||
| Padel, high level | SC ↑ pre-competition than training (for left-side, higher-ranked, lower-ranked, match winning players) | SA ↑ pre-competition than training (for left-side, higher-ranked, match winning players) SA and STA ↑ right-sided than left-sided players before training matches | ||
| Padel, high level | SC ↓ for losing players (pre-post-match) SC ↓ for losing players than winning players | CA, SA, STA ↑ for losing players and STA ↑ for winning players (pre-post match) | ||
| Padel, Elite Youth, Constrained vs. Unconstrained matches | Intrinsic and extrinsic motivation ↑ prior constrained matches Identified regulation ↔ amotivation ↓ prior constrained matches | Mental load ↑ after constrained matches Mental fatigue ↑ after constrained matches | ||
| Padel, professional, consecutive matches | motivation ↓ (pre-post match) motivation ↔ in M1 and M2 Performance satisfaction ↓ ➔ motivation ↓ | MF ↑ (pre-post match) MF ↑↑ in M1 than M2 Performance satisfaction ↑↓ ➔ MF ↔ | ||
| Padel, Elite Youth, Mental fatigue condition (30-min incongruent Stroop task) vs. control | MF ↑ after mental-fatigue-condition MF ↔ after control-condition | |||
| Pickleball, competitive older players | Commitment to serious leisure ↑ ➔ depression level ↓ Gender and serious leisure* were significant predictors of depression | |||
| Pickleball, competitive older players | PA-Participation × general happiness and social capital (community participation, feeling of trust and safety, neighborhood connection) + PA-Participation was a significant predictor (adjusted R2 = 0.113) of general happiness | |||
| Pickleball, missing information | Motivation through: enjoyment (4.84), physical health (4.6), social health (4.43), psychological health (4.38), and competition (4.38) Benefits of playing Pickleball: social health (4.68), enjoyment (4.56), and physical health (4.6) Strong relationships between motivations and perceived benefits regarding physical activity within the concepts of psychological health (r = 0.74) and enjoyment (r = 0.71) | |||
| Rodríguez-Cayetano et al. (2022) | Padel and Tennis players, competitive Youth | SC ↑ in padel players than tennis players SC ↔ in girls and boys SC ↓ in senior players than in U14 and U16 SC ↑ in female padel than female tennis players | CA and SA ↔ in padel and tennis players CA ↔ in girls and boys SA ↑ in boys CA and SA ↑ in senior players than in U14 and U16 SA ↑ in senior padel than tennis players CA ↓ in female padel than female tennis players SA ↑ in male padel than male tennis players In all cases: significant positive correlation between CA and SA and a negative correlation between CA and SA with SC | |
| Ryu et al. (2018) | Pickleball, high level older players | Conscientiousness, serious leisure, and openness to experience were significant predictors of eudaimonic wellbeing neuroticism was negatively associated with eudaimonic wellbeing | ||
| Ryu et al. (2022) | Pickleball, high level older players (different age groups: 50–59,60–69, 70+) | Life satisfaction ↑ in oldest age group (70+) Optimism and social integration ↔ between age groups Social integration ↑ in female players Optimism and life satisfaction ↔ between gender |
Results of the included studies (n = 14).
↑, increase; ↓, decrease; ↔, no significant differences; CA, cognitive anxiety; MF, mental fatigue; PA, physical activity; SA, somatic anxiety; SC, self-confidence; STA, state anxiety; M1, Match one; M2, Match two; +, positive association; CA, cognitive anxiety; *, after controlling for age; gender and education.
3 Results
The search results are shown in Figure 1. Of the 71 records, 14 studies met the inclusion criteria.
Figure 1
3.1 Overview of studies
A total of 1,403 participants were included in the review. A total of 8 studies assessed the mental health effects of Padel (n = 538) with lower average numbers of test subjects (∅ = 67) while the influence of Pickleball on mental health was evaluated in 6 (n = 865) studies with on average more than twice as many participants (∅ = 144). Women accounted for 42% of those analyzed. There was no age limit, so the mean age of the youngest group of participants was 15.40 (± 3.43) years, while the oldest participants were over 80 years old. The participants are mostly professional and high level players (n = 676) or competitive athletes (688), with smaller proportions of recreational players (n = 36) or missing data (n = 103). The included studies were conducted in only three countries, mainly the USA (n = 6), Spain (n = 5) and Finland (n = 3) between 2018 and 2024. Characteristics of selected studies are shown in Tables 2–4.
Table 2
| Author (publication year) | Number of participants Participant’s characteristics (age, gender) | Intervention type | Mental health outcome | Secondary outcomes |
|---|---|---|---|---|
| n = 36 Recreational Pickleball players (>65 years; f: 16; m: 20) | Observational study (Pre- and post-study COVID-19) | Mental health (SF-12 Health survey) |
| |
| n = 153 Competitive Pickleball players (>50 years; f: 90; m: 63) | Observational study (Cross-sectional study) | Depression level (MDI) Serious Leisure (SLIM), Optimism (Life orientation test) | ||
| n = 208 Competitive Pickleball players (50–83 years; f: 96; m: 112) | Observational study (Cross-sectional study) | General happiness (Single item from Serious Leisure (SLIM) Social capital (9-item from | ||
| n = 65 Pickleball players (>30 years; f: 31; m: 35) | Mixed-Method-Study | Physical activity and Motive (PALMS) Exercise Benefits/Barriers Scale (Victor et al., 2012) | ||
| Ryu et al. (2018) | n = 153 High level Pickleball players (>50 years; f: 90; m: 63) | Observational study (Cross-sectional study) | Life satisfaction (SWLS) Optimism (LOT) Social integration (Sonnega et al., 2014) | |
| Ryu et al. (2022) | n = 250 High level Pickleball players (Mage: 65.11 ± 7.49; f = 145; m = 105) | Observational study (Cross-sectional study) | Eudaimonic wellbeing (QEWB) | Serious Leisure (SLIM) Personality (BFI) |
Studies that have investigated the mental health effects of padel or pickleball (n = 6).
SF-12 Health survey, Short-form-health survey; ULS-4, UCLA Loneliness-Scale; SLIM, Serious Leisure Inventory Measures; PALMS, Physical Activity and Leisure Motivation Scale; MDI = Major Depressive Inventory; SWLS = Satisfaction with Life Scale; LOT = Life Orientation Test.
Table 3
| Author (publication year) | Number of participants Participant’s characteristics (age, gender) | Intervention type | Mental health outcome | Secondary outcomes |
|---|---|---|---|---|
| n = 100 Male padel players with different levels (Mage = 27.6 ± 7.5; m = 100) | Observational study | Self-confidence (CSAI-2R) | Cognitive and somatic anxiety (CSAI-2R) | |
| n = 28 High level male padel players (no information about age; m = 28) | Observational study | Self-confidence (CSAI-2R) | Cognitive and somatic anxiety (CSAI-2R) State anxiety (STAI-S) | |
| n = 10 High level male padel players (Mage = 28.60 ± 4.17; m = 10) | Observational study | Self-confidence (CSAI-2R) | Precompetitive anxiety (CSAI-2R) State anxiety (STAI-S) | |
| n = 11 High level male padel players (Mage = 27.91 ± 5.03; m = 11) | Observational study | Self-confidence (CSAI-2R) | Cognitive and somatic anxiety (CSAI-2R) State anxiety (STAI-S) Technical-tactical performance | |
| Rodríguez-Cayetano et al. (2022) | n = 291 (all: N = 423) Young padel and tennis players (Mage: 15.40* (all); f: 100; m: 191) | Observational study (Cross-sectional study) | Self-confidence (CSAI-2R) | Cognitive and somatic anxiety (CSAI-2R) |
Studies that have investigated anxiety and self-confidence in padel.
CSAI-2R, Competitive State Anxiety Inventory-2; STAI-S, State–Trait Anxiety Inventory.
Table 4
| Author (publication year) | Number of participants Participant’s characteristics (age, gender) | Intervention type | Mental health outcome | Secondary outcomes |
|---|---|---|---|---|
| n = 36 Elite Youth Padel Players (fMage = 17.90 ± 3.21; mMage = 17.40 ± 2.16; f: 14; m: 22) | Observational study (pre-post test study) | Mental load (QQML) Mental fatigue (VAS) | Motivation (SIMS) HRV Reaction time (PVT) | |
| n = 14 Professional Players (fMage = 21.70 ± 3.85; mMage = 25.56 ± 6.77; f: 5; m: 9) | Observational study | Mental fatigue (VAS) | Motivation (Likert Scale) Reaction time (PVT) Performance Satisfaction | |
| n = 48 Elite Youth Padel Players (Mage = 18 ± 2, m = 48) | Randomized counterbalanced crossover study | Mental fatigue (VAS) | Reaction time (PVT) Response Inhibition (Stroop Performance) Padel-specific accuracy (from Sánchez-Alcaraz et al., 2016) |
Studies that have investigated mental fatigue in padel.
QQML, Questionnaire to Quantify Mental Load; VAS, Visual Analogue Scale; SIMS, Situational Motivation Scale; PVT, Psychomotor Vigilance Test.
3.2 Study characteristics of the included studies
Of the included studies, all studies are observational (n = 14), the majority of which are cross-sectional in design (n = 12) and only a small number of which included pre-post tests (n = 2).
All six studies categorized in Table 2 were conducted with pickleball players (n = 865). With the exception of one study (>30 years) (
Table 5
| Author (publication Year) | Selection (max. 5 points) | Comparability (max. 2 points) | Outcome (max. 3 points) | Total score (max. 9 points) |
|---|---|---|---|---|
| 5 | 0 | 2 | ●7 | |
| 3 | 1 | 2 | ●6 | |
| 3 | 0 | 2 | ●5 | |
| 3 | 0 | 2 | ●5 | |
| 4 | 0 | 2 | ●6 | |
| 3 | 0 | 2 | ●5 | |
| 4 | 0 | 2 | ●6 | |
| 3 | 2 | 2 | ●7 | |
| 4 | 2 | 2 | ●8 | |
| 3 | 0 | 2 | ●5 | |
| Rodríguez-Cayetano et al. (2022) | 3 | 0 | 2 | ●5 |
| Ryu et al. (2018) | 3 | 2 | 2 | ●7 |
| Ryu et al. (2022) | 5 | 2 | 1 | ●9 |
Quality of the studies included assessed by the Newcastle-Ottawa scale (Wells et al., 2000).
Green indicates high-quality studies (7–9 points), and yellow indicates moderate-quality studies (4–6 points).
All of the studies in the area of anxiety included only padel players. Out of a total of 440 participants, only 100 players, all from one study (Rodríguez-Cayetano et al., 2022), were female. The average age, where mentioned is <29 years in all studies in this area (n = 4). All five studies are equally concerned with self-confidence and different forms of anxiety: cognitive anxiety (n = 5), somatic anxiety (n = 5) and state anxiety (n = 3).
The studies included in the area of mental fatigue (n = 3) exclusively examined padel players. Approximately one fifth of the 98 participants were female (n = 19). Youth players were largely included (n = 84). In all cases, mental fatigue was quantified using the visual analogue scale. Reaction time was also measured in all studies, whereas motivation was only measured in two studies (
For a detailed quality assessment, Tables 1, 6 show the domain-specific risk of bias and the overall risk for all included studies. Nine points represented the maximum score. The risk of bias assessment showed that 5 studies indicated a low risk of bias, while 6 were assessed as having some concerns. No other studies were assessed as having a high risk of bias in the NOS-Classification. The poor performance of the statistical analysis due to the lack of confidence intervals was striking (n = 11). Further reductions were mainly in the area of comparability due to lack of control of confounding factors (n = 7) and unjustified sample size (n = 8). The average quality score was 6 ± 1 points. One study showed moderate quality with a score of 5, as assessed by the PEDro scale (Table 6). For full details, see Supplementary material.
Table 6
| Author (publication year) | Randomization (max. 2 points) | Comparability and blinding (max. 4 points) | Data and analysis (max. 4 points) | Total score (max. 10 points) |
|---|---|---|---|---|
| 1 | 2 | 2 | ●5 |
Quality of the included studies assessed by the PEDro-Scale (
Yellow indicates moderate-quality studies (4–6 points).
3.3 Overview of results
Playing pickleball is positively associated with overall happiness (r = 0.263, p < 0.001) and social capital by building a sense of trust, safety and community (r = 0.342, p < 0.001; r = 0.303, p < 0.001; r = 0.215, p < 0.01) (
Alongside physical and social health and the competitive aspect, fun is the greatest motivational component of middle-aged pickleball players (n = 65), whose motivation correlates strongly with the benefits in psychological health (r = 0.74) and enjoyment (r = 0.71) they derive (
On the one hand, padel increases self-confidence and motivation; on the other hand, it leads to a drop in performance in consecutive matches due to mental fatigue (
The higher the level of the padel player (n = 100), the more self-confidence and less somatic anxiety they have (
4 Discussion
To the best of our knowledge, this is the first systematic review that synthesizes the mental health effects of padel and pickleball, two rapidly growing racket sports, in a joint analysis. From 71 studies, 14 (n = 1,403) met inclusion criteria, revealing distinct research focuses: padel studies emphasize performance-related mental health (e.g., anxiety, mental fatigue), while pickleball research highlights wellbeing benefits, particularly in older adults.
Padel’s performance focus shows that mental fatigue, exacerbated by consecutive games or tournaments, impairs reaction time and accuracy (
In contrast, pickleball studies demonstrate significant wellbeing benefits, including improved life satisfaction (p < 0.05), happiness (r = 0.263, p < 0.001), and reduced depression (r = −0.23, p < 0.01) (
The divergent research focuses reflect the sports’ contexts: padel’s competitive emphasis versus pickleball’s recreational appeal. Yet, this leaves gaps—padel lacks wellbeing studies beyond emotional functioning, and pickleball under-explores performance-related mental health across ages. Gender imbalances also persist; only 22% of padel study participants were female versus 54% in pickleball, despite potential gender differences in anxiety and fatigue (Tian et al., 2022; Tornero-Aguilera et al., 2022). Age biases further limit generalizability, with padel studies skewing young (mean age ≤29) and pickleball focusing on those over 50, despite broader participation trends (
This systematic review provides valuable insights into the relationship between padel, pickleball and mental health. However, it is important to consider a number of limitations. First, the heterogeneity of the included studies in terms of methodology, sample size and outcome measures meant that a meta-analysis was not possible. Second, the smaller sample sizes limit the generalizability of the results. Third, there was an over reliance on self-reported data, lacking objective measures like cortisol for stress (
Future research should bridge these gaps by exploring wellbeing in padel and performance-related mental health (e.g., anxiety, fatigue) in pickleball. To achieve this, studies should include diverse populations, such as different age groups, genders, and skill levels, to ensure broader applicability of findings. Longitudinal and experimental designs are particularly needed to better understand the mechanisms linking padel and pickleball participation to mental health outcomes. Incorporating objective biomarkers, such as hormonal or autonomic measures, could further enhance our understanding of the physiological processes involved. As padel and pickleball participation grows globally (
Statements
Data availability statement
Publicly available datasets were analyzed in this study. This data can be found at: all data analyzed in this review are included in the original papers listed in the references.
Author contributions
LL: Writing – original draft. BS: Writing – review & editing.
Funding
The authors declare that financial support was received for the research and/or publication of this article. This publication was financially supported by the Open Access funding program of the University of Vienna.
Acknowledgments
BS was supported by an NIHR Advanced Fellowship. BS serves on the Editorial Board of the Journal of Physical Activity and Health, Ageing Research Reviews, Mental Health and Physical Activity, The Journal of Evidence Based Medicine, and The Brazilian Journal of Psychiatry.
Conflict of interest
BS has received honoraria from a co-edited book on exercise and mental illness (Elsevier), an associated education course, and unrelated advisory work from ASICS and FitXR LTD.
The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The authors declare that Gen AI was used in the creation of this manuscript. DeepL Write was used to improve language clarity. No content or data interpretation was generated by AI.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1614448/full#supplementary-material
SUPPLEMENTARY TABLE 1Full details of the quality assessment of included studies using the Newcastle-Ottawa Scale (Wells et al., 2000), including individual item scores and overall ratings.
SUPPLEMENTARY TABLE 2Full details of the quality assessment of the included study using the PEDro Scale (
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Summary
Keywords
mental health, wellbeing, tennis, paddle, pickleball
Citation
Lauxtermann L and Stubbs B (2025) Padel, pickleball and wellbeing: a systematic review. Front. Psychol. 16:1614448. doi: 10.3389/fpsyg.2025.1614448
Received
21 April 2025
Accepted
08 July 2025
Published
29 July 2025
Volume
16 - 2025
Edited by
Bernardino Javier Sánchez-Alcaraz Martínez, University of Murcia, Spain
Reviewed by
Cristian Mihail Rus, Alexandru Ioan Cuza University, Romania
Diego Muñoz, University of Extremadura, Spain
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© 2025 Lauxtermann and Stubbs.
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*Correspondence: Lena Lauxtermann, lena.lauxtermann@univie.ac.at
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