Next Article in Journal
“If You Didn’t Exercise during Lockdown, What Were You Even Doing?”: Young Women, Sport, and Fitness in Pandemic Times
Previous Article in Journal
Does Physical Activity Mediate the Associations between Physical Literacy and Mental Health during the COVID-19 Post-Quarantine Era among Adolescents in Cyprus?
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

What Moves Youth?—A Survey to Explore the Motivation and Barriers of Dutch Young Adolescents (12–15 Years) to Participate in Sports

by
Irene Renate Faber
1,2,*,
Johannes W. De Greeff
1,
Arnoud Bostelaar
1 and
Nicolette Schipper-van Veldhoven
1,3,4,5
1
Research Centre Human Movement and Education, Windesheim University of Applied Sciences, Campus 2, 8017 CA Zwolle, The Netherlands
2
Institute of Sport Science, University of Oldenburg, Ammerländer Heerstraße 114-118, 26129 Oldenburg, Germany
3
Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
4
Faculty of Behavioural, Management and Social Sciences, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
5
Netherlands Olympic Committee and Netherlands Sports Confederation (NOC*NSF), Papendallaan 60, 6816 VD Arnhem, The Netherlands
*
Author to whom correspondence should be addressed.
Youth 2023, 3(3), 835-846; https://doi.org/10.3390/youth3030054
Submission received: 20 April 2023 / Revised: 12 June 2023 / Accepted: 19 June 2023 / Published: 3 July 2023

Abstract

:
It appears to be a challenge to keep young adolescents involved in sports, while motivation has been confirmed as a key determinant for sport participation. Consequently, the aim of this study was to get a better insight into the motivational aspects and barriers of young adolescents while paying attention to the various contexts of youth sports in the Netherlands (i.e., club, commercial and urban sports). In total, 741 young adolescents (ages 12–15) filled in a questionnaire about the motivation and barriers to participate in sports and starting a new sport. The most important motivational factor in all sports contexts appears to be ‘fun/pleasure’. Additionally, they like the atmosphere of sports, and are motivated by learning new skills and becoming better at sports. Furthermore, young adolescents value a positive atmosphere, a skilled trainer and being able to participate at their own level (with others) when starting a new sport. Identified barriers are ‘liking other activities’, ‘a lack of time’, and that ‘sport is not fun anymore’. Nevertheless, the young adolescents surveyed, even those not active in sports, generally do not experience a high degree of barriers to participate in sports. The findings provide directions for developing future interventions that improve sport participation and prevent dropout.

1. Introduction

Many societies have embraced sports as a powerful means to enhance a nation’s well-fare and well-being. Indeed, it is confirmed that sports can have a considerable positive contribution to health and well-being, social cohesion, norms and values, education, economy and innovations in a society [1,2]. Within this, youth sports are of primary importance since it serves as the foundation for future aims. Physical activity and sport participation during childhood and adolescence are related to the development of an active lifestyle in adulthood [3,4,5]. Accordingly, sport participation from an early age and retainment during childhood and adolescence is recommended to fully ‘harvest’ the potential benefits of sports related to health and well-being. It is for these reasons that the World Health Organization (WHO) has drawn up guidelines to promote physical activity in children and young people [6]. Organized sports (i.e., structured, led by adults, leading to competitions) can be a tool to help children and youngsters to meet the physical activity guidelines [1,7]. However, despite the confirmed benefits of sports and the existing guidelines, a considerable percentage of children do not participate in organized sports, and participation rates even decline during adolescence [3,8,9]. It’s clear that youth sports organizations are in competition with a whole set of, often passive, leisure-time activities like watching television, going to movies, gaming, the internet, and so on [10].
This trend is typically the case in the Netherlands; the latest national numbers reveal that 67% of Dutch children (5–12 years) and 49% of adolescents (13–18 years) participate in organized sports [11]. Moreover, only 57% of the children (4–11 years) met the physical activity guidelines in the Netherlands in 2022, and only 33% of adolescents (12–17 years old). Recent research shows that the commitment to sports is lower among 13- to 18-year-olds than among younger children [11]. Only slightly more than half of adolescents (55%) have a high commitment to continue to exercise weekly, while this is still 80% among the 5–12 year-olds. And of those adolescent not active in sports, only 13% is currently open to start doing sports (again) on a weekly basis. In order to get and/or retain these young people active in sports, sports organizations have to identify the needs and wants of this target group in a more comprehensive way [10]. Specific programs based on these insights and specifically designed to get young adolescents active and/or prevent them from dropping out might be helpful to increase participation rates and meet the physical activity norms [7].
Previous studies identified several factors that influence sport participation within this target group, including, among others, enjoyment, perceived competence and social support [12,13]. Yet, a recent study within the Dutch context showed that especially adolescent motives are key determinants regarding sport participation [14]. This study examined a combination of factors based on the Youth Physical Activity Promotion model [15] (i.e., motives, perceived competence, encouragement and motor skills) to better understand factors influencing adolescents’ sport participation. Multilevel regression analyses revealed that motives outweigh the effects of all other factors. Gardner and colleagues showed that motives are more important than demographic, individual and social factors in Australian adolescents [16] and Lara-Barcial’s research group found that a lack of internal motivation to be active in sports is one of the most important dimensions of dropout in youngsters [17]. Thus, motivation towards sports seems to be a crucial factor for adolescents’ participation in organized sports.
As a next step, this study aims to further explore the motives and barriers of Dutch young adolescents (12–15 years) using in order to improve sport participation and prevent dropout. This age group is specifically selected as the target group as it reveals the largest dropout from organized youth sports [3,8,9,11]. In the Netherlands, organized youth sports typically refer to sports clubs (e.g., basketball or gymnastics clubs). Although other youth sport contexts could contribute to fulfill the standards of the WHO’s guidelines, organized sports in clubs are considered an important pillar in the Netherlands (https://www.sportenbewegenincijfers.nl/kernindicatoren/beweegrichtlijnen, accessed on 1 April 2023). Sports clubs play a crucial role in the Dutch sports landscape due to their facilities, infrastructure and social structures. Nevertheless, since the influencing factors might differ between adolescents active in various sport contexts [18,19], it is constructive to explore motives and barriers of young adolescents in the various contexts of youth sports in the Netherlands [10]. Contexts besides club sports are commercial sports (e.g., fitness center, horse-riding center) and urban sports (e.g., running or skateboarding in public space,. Moreover, also Dutch young adolescents not active in sports are taken into account to create a comprehensive picture. A more in-depth insight into their motivation and barriers provides directions for the development of future interventions to improve sport participation and prevent dropout from sports [14,16]. This will support sports organizations and coaches to create an optimal environment for youth in sports.

2. Materials and Methods

2.1. Participants

Participants were young adolescents from six randomly selected regular high schools located in the middle and eastern parts of the Netherlands. These young adolescents were part of the first, second or third grades within these schools and typically aged between 12–15 years.

2.2. Online Survey and Data Collection

An online questionnaire (see the statements in Table 1) was developed based on an existing valid and reproducible Dutch questionnaire for adults [20], which included statements about (factors that influence) the motivation and barriers to participate in sports and starting a new sport. The questionnaire consisted of 50 items divided into three sections: (1) motivation to participate in sports (20 items), (2) barriers to participate in sports (17 items) and (3) the factors that are important when starting a new sport (13 items). The adolescents’ motivation to participate in sports (Section 1) was questioned regarding the constructs fun/pleasure, performance and community [21,22]. The barriers to participate in sports (Section 2) and the important factors in starting a new sport (Section 3) were questioned using the three main constructs of the COM-B model: capability, opportunity and motivation [23,24]. The COM-B model is a framework for understanding behavior widely used to identify what needs to change in order for a behavior change intervention to be effective. All items of the three included parts were scored using a five-point Likert scale (1 = strongly disagree/not important at all, 2 = disagree/not important, 3 = neutral, 4 = agree, important, 5 = strongly agree/very important). Cronbach’s alpha was calculated for each of the three sections separately, confirming acceptable reliability; (1) motivation to participate in sports 0.77, (2) barriers to participate in sports 0.92, and (3) important factors starting a new sport 0.84.
The online questionnaire was administered during a regular school lesson (October–November 2021). All pupils present participated in the online survey while using their own laptop or smartphone to access the questionnaire that was hosted via Qualtrics online surveys (Qualtrics Ltd., Provo, UT, USA). It took them approximately ten minutes to finish the questionnaire. In addition to the statements, it was questioned whether the pupils were active in a sport, and if yes, which one(s). Based on this data, pupils were assigned to a subsample; (1) club sports (e.g., soccer club, table tennis club), (2) commercial sports (e.g., fitness center, horse-riding center), (3) urban sports (e.g., running or skateboarding in public space), (4) a combination of these sport contexts or (5) no sports.

2.3. Data Analysis

IBM SPSS Statistics 25 (IBM Corp., Armonk, New York, NY, USA) was used for the statistical analysis. Descriptive statistics (means and standard deviations) are provided for all single items and for each construct for the total sample and per sport context subsample (i.e., club sports, commercial sports, urban sports, combination or no sports). Items with a mean score of at least 4.00 were considered highly relevant/important motivational aspects or barriers. Items with a mean score of at least between 3.70 and 3.99 were considered moderately relevant/important. Univariate ANCOVAs including pairwise comparison post-hoc tests with Bonferroni correction for multiple testing, were used per construct (i.e., the mean score of the statements belonging to the construct) to test for differences between adolescents of the different sport contexts while using gender as covariate [25]. Age was not included as a covariate for two reasons: (1) due to imposed ethical standards and accompanying data collection procedures, information about age was not collected as exact age but as categorical data (12–13 years, 13–14 years and 14–15 years) and (2) it was not obliged for the young adolescents to fill in this question, which yielded a considerable amount of missing values (27.3%). Partial eta squared values were calculated as effect sizes for the ANCOVAs. An effect between 0.01 and <0.06 was considered small, between 0.06 and <0.14 medium, and 0.14 or higher (large) [26]. Hedges’ g was calculated as the effect size for the pairwise comparisons with an effect size of about 0.20, 0.5, and 0.8, considered small, medium, and large, respectively. The Alpha was set at 0.05 for all analyses.

3. Results

3.1. Sample Characteristics

In total, 741 young adolescents completed the online questionnaire, of which 324 (43.7%) expressed themselves as boys, 398 (53.7%) as girls and 19 (2.6%) as diverse (Table 1). From the total sample, more than 80.0% were active in sports, including 416 (56.1%) adolescents who participated in club sports, 80 (10.8%) in commercial sports, 43 (3.0%) in urban sports and 73 (9.9%) participated in more than one of these contexts. In total, 129 (17.4%) young adolescents were not active in sports.

3.2. Motivation for Sport Participation

Table 2 presents the descriptive outcomes per item of the online questionnaire for the total sample and each of the sport contexts. The part about the motivation for sports was only answered by those adolescents that were active in sports at the moment when the questionnaire was administered (n = 612; 82.6%). Highly relevant aspects of fun/pleasure appeared to be that ‘the sports activities make adolescents ‘happy’ and ‘make them feel good after exercise’. ‘Parental influence/expectation’ was generally not considered a relevant motivator to participate in sports. Regarding performance, it appeared highly important for young adolescents active in club sports, urban sports or a combination of more sport contexts to ‘learn a new skill’. Adolescents active in commercial sporting rated this as moderately important. Adolescents that are active in club sports or a combination of sport contexts value that ‘they want to become better’ highly important, whereas adolescents active in commercial sport scored this as moderately relevant. ‘Health improvement’ was evaluated as moderately important by young adolescents from club sports, urban sports and those active in a combination of sport contexts. ‘Challenges/achievements’ were judged as moderately important by adolescents in club sports and the adolescents active in a combination of sport contexts. Finally, regarding community, ‘fun’ was rated as highly important by all groups. Moreover, ‘the atmosphere of sport’ was considered highly important in young adolescents active in club sports and urban sports and moderately important in adolescents in commercial sports and a combination of sport contexts.

3.3. Barriers to Sport Participation

The barriers to sports participation examined within the questionnaire appeared, on average, not to be moderately or highly important to young adolescents. The mean rating of the items ranged between 1.26 and 3.45. Mean scores above 3.0 were only seen in young adolescents not being active in sports. They rated ‘liking other leisure activities’ (3.45 (SD 1.29); 52.0% (strongly) agreed) and ‘lack of time due to school or work’ (3.09 (SD 1.24); 40.5% (strongly) agreed) as most important barriers regarding motivation and opportunity, respectively. Other barriers worth mentioning for this group are that ‘sport is considered not to be fun anymore’ (2.94 (SD 1.31); 30.2% (strongly) agreed), that ‘they don’t like getting to know new people’ (2.70 (SD 1.40); 31.6% (strongly) agreed), that ‘there are no fun sports in their area’ (2.50 (SD 1.30); 15.5% (strongly) agreed) and that ‘they are not good in it’ (2.53 (SD 1.20); 22.8% (strongly) agreed).

3.4. Choosing a New Sport

When choosing a new sport, young adolescents active in sports see ‘a positive atmosphere’, ‘a skilled trainer’, and ‘being able to exercise at their own level’ as highly important motivators. Young adolescents not active in sports also score the factors ‘a positive atmosphere’, ‘a skilled trainer as highly important, and ‘being able to exercise at their own level’ as moderately important. ‘Accessibility’, ‘the time-slots’ and ‘the days that you can work out’ appeared moderately important opportunities to all groups. Young adolescents in club sports rate ‘being able to sport with players from the same level’ and ‘competition opportunities’ also as highly important. The first aspect, ‘players of the same level’, is moderately important to all the other groups and the latter, ‘competition opportunity’, is moderately important to the adolescents that combine more types of sports activities. Adolescents active in more types of sport contexts rate ‘the flexibility in days to exercise’ as moderately important.

3.5. Comparison between Sport Contexts—Motivation, Barriers and Choosing a New Sport

Significant differences between the young adolescent of the different sport contexts were found between all constructs (p < 0.05) except for the construct ‘fun/pleasure’ as a motivational aspect of sport participation (p = 0.074) (Table 3). However, moderate and large effect sizes were only seen regarding the barriers to sport participation; motivation revealed a large effect size (partial η2 = 0.187), capability a moderate effect size (partial η2 = 0.068) and opportunity also a moderate effect size (partial η2 = 0.068). Young adolescents not active in sports presented significantly higher mean scores on all these constructs compared to the subgroups of adolescents in club sports, commercial sports and a combination of sport contexts (p < 0.001). Additionally, the urban sport subgroup also differed significantly from the young adolescents in club sports and a combination of sports contexts regarding motivation (p < 0.001) and opportunity (p < 0.001).

4. Discussion

The current study adds to the existing knowledge and insights on youth participation in sports by further exploring the motives and barriers of young adolescents to participate in sports while taking into account different youth sport contexts in the Netherlands. On the basis of the results, it becomes clear that, overall, Dutch young adolescents value the same motivational factors to be active in sports as well as those factors that support them when trying or starting a new sport. No specific motivational profiles could be identified for the young adolescents per the sport context. Moreover, it appears that the young adolescents in the current study generally do not experience many barriers to participate in sports. This is even the case for those young adolescents not active in sports; although they show significantly higher barrier rates compared to the other groups, their rating of barriers is still low. This seems somewhat contradictory to the low participation rates recently found in the Netherlands. Conducting studies that include samples from areas with a low participation rate and/or high dropout seems a sensible follow-up. This is also accounts for (qualitative) studies focusing on the disclosure of other barriers (e.g., parent’s educational level, income, socioeconomic position, employment status and/or social class). Differences in background and social contexts can play an important role in life choices, lifestyle and thus also in sport participation [18,19].
Nevertheless, for now, it seems logical to emphasize those factors that contribute to the motivation of young adolescents when establishing programs with the aim of increasing sport participation and preventing dropout among this target group. The most important motivational factor for young adolescents to be active in sports appears to be fun/pleasure; sports make them happy, and they feel good after exercising. Additionally, they like the atmosphere of sports and are motivated to learn new skills and become better at sports. Accordingly, it comes as no surprise that, when starting a new sport, young adolescents value a positive atmosphere, a skilled trainer and being able to participate at their own level (with others). These findings strongly match existing guidelines for youth sports. For example, they align with the principles of the ICOACHKIDS pledge [27], specifically principle 4 ‘make it fun and safe’, principle 5 ‘prioritize the love for sport over learning sport’ and principle 8 ‘plan progressive programs’. Moreover, they are in accordance with the coaching guideline from the IOC recommendations for youth athletic development; i.e., ‘provide a challenging and enjoyable sporting climate that focuses on each athlete’s personal assets and mastery orientation’ [28]. However, it seems that Dutch sports clubs have problems adequately meeting the needs/wishes of young adolescents, as a substantial part of Dutch young adolescents do not participate and/or do not meet the physical activity guidelines in the organized sport context [11].
The presented perspectives of Dutch young adolescents reinforce the call to pay attention to a developmental (e.g., learning new skills, becoming better at sports), motivational (e.g., fun/pleasure) as well as a socially safe climate (e.g., positive atmosphere) in sports clubs as a precondition to fully harvest the beneficial effects of sports [29]. In the Netherlands, two major barriers can be identified within this context. First, a large part of organized sports, i.e., sports clubs, is run by volunteers who are not educated for the specific task of guiding and training children and adolescents [30]. Second, even when coaches did finish a coach education, most coaches’ education programs focus on the didactics of how youngsters can learn the technical and tactical skills of their specific sports bests, which mainly serves the developmental climate. A broader pedagogical approach is generally neglected though research has shown that the actual effects of sport participation do not only depend on what is offered (e.g., type of exercises, games or competition) but also on how it is offered [31]. If children or adolescents are not guided adequately, sports can even have negative effects like bullying, (sexual) harassment, selfishness, depression, injuries and eating disorders [32,33,34]. Therefore, we have to pay attention towards a positive and safe sports climate and emphasize a broader pedagogical approach in coach education. Recent initiatives to improve coach education regarding these aspects and specifically for adolescents, have been launched within the ICOACHKIDS+ project (http://www.icoachkidsplus.eu/resoults/, accessed on 1 April 2023). These principles could serve as guidelines for the coach education programs in The Netherlands.
In addition, sports clubs, in cooperation with their associations, should reflect on the activities they provide for young adolescents. Currently, there is generally a main focus on competitions and training sessions are tailored accordingly. Participation in competition/matches could positively contribute to the motivation of young adolescents, but this seems merely the case for those currently active in the context of club sports (Table 2). If a sports club wants to be more attractive to other young adolescents as well, a more varied offer of activities might be helpful. It is recommended here to actively involve the young adolescents as stakeholders within the creative process and think of solutions together. In this way, activities will be better attuned to their perception, appeal to joint responsibility and promote their autonomy. An example of such an approach is the toolkit with card games that was developed as part of the European Erasmus+ project ‘Keep Youngsters Involved’ (https://tools.kenniscentrumsportenbewegen.nl/keep-youngsters-involved/hoofdstuk/toolkit-with-card-games/, accessed on 1 April 2023) [35]. Exploring and promoting sporting activities that link to the improvement of health might be beneficial as well, which also connects to one of the core elements of physical literacy [36]. Finally, an evaluation of the organizational aspects like planning (i.e., time-slots and days) and accessibility, together with the intention to better connect to the wishes of young adolescents might support sport participation within this group [37]. Of course, these recommendations could serve the other sport contexts to create a better connection with young adolescents as well.
Another strategy to increase sport participation is to remove the existing barriers. As previously mentioned, barrier rates to participate in sports appear to be rather low within the included sample, even in the young adolescent not participating in sports. This finding aligns with the rather high sport participation rate (82.6%; organized sport 76.8%) within the current study in comparison to the numbers found within the Dutch population [11]. Although the current study might include a rather ‘sport-minded’ sample, the main reasons for not being active in sports within this group are still considered relevant. The most important barriers appear: (1) ‘liking other leisure activities’, (2) ‘lack of time due to school or work’, (3) ‘sport is considered not to be fun anymore’, (4) ‘don’t like getting to know new people’, (5) ‘there are no fun sports in their area’, and (6) ‘they are not good in it’. As such, it seems that a combination of motivational factors, capability and opportunity are preventing adolescents from participating in sports. These findings are largely in line with previous studies concerning barriers to sport participation in adolescents [37,38]. Creating a positive and safe sports climate while using a child-centered approach is likely to remove most barriers [29].
Some limitations of this study need to be acknowledged. First, as previously mentioned, this study seems to have included a sample of young adolescents with a rather high rate of sport participation. This might be due to the recruitment within the middle and eastern parts of the Netherlands. Consequently, the distribution of participation within the contexts does not completely represent the Dutch population. Nevertheless, the main outcomes of this study are still considered generalizable since the results are presented for each sport context separately. Second, although the online questionnaire covered motives and barriers identified as possible influencers [20], it might not have brought all important aspects and their interactions to the table. The next step could be to further explore (other possible) motives and barriers within a qualitative study. This might also bring more insight into the interaction between different aspects within the different youth sport contexts. Third, this study was conducted during the COVID-pandemic. Although there were no restrictions for youth to participate in sports during the data collection period, sports participation declined, especially in the organized youth sport (i.e., club sports and commercial sports) during the lockdown periods and is still not completely recovered [11]. It is unknown to what extent the results of this study have been influenced by this, since no data is available from the situation before the pandemic started. Fourth, this study focused on the possible differences between young adolescents from different sport contexts. However, other influencing factors (e.g., gender, age and social contexts) could be considered for a deeper insight within subsamples.

5. Conclusions

In conclusion, this study reinforces that fun/pleasure is the most important motive for young adolescents to participate in sports and that coaches are a linking pin within the context of organized youth sport. Sports clubs and their coaches should stimulate a positive and safe environment in which young people can develop themselves in and through sports [39]. However, in order to realize the full potential of youth sports and specifically the sports club, to be a positive place for development, it is crucial to align and secure the activities of, among others, coaches, other guides (e.g., parents) and policymakers towards a positive and safe sports climate always taking into account the motives and barriers of youngsters that are under their responsibility [29,30]. The findings of this study provide directions for the development of future interventions that improve sports participation and prevent dropout from sports [14,16]. It supports sports organizations and coaches to create an optimal environment for youth in sports. Future studies can yield more in-depth insight into samples with a low participation rate and/or high dropout rates; the disclosure of other barriers seems to be sensible to assess the interaction of motives and barriers.

Author Contributions

Conceptualization, I.R.F., J.W.D.G., A.B. and N.S.-v.V.; methodology, I.R.F., J.W.D.G., A.B. and N.S.-v.V.; software, J.W.D.G. and A.B.; data collection, A.B.; data analysis, I.R.F.; writing—original draft preparation, I.R.F.; writing—review and editing, J.W.D.G. and N.S.-v.V.; project administration, N.S.-v.V.; funding acquisition, N.S.-v.V. All authors have read and agreed to the published version of the manuscript.

Funding

This study was commissioned and financially supported by the Netherlands Olympic Committee and Netherlands Sport Federation (NOC*NSF). The interest of NOC*NSF was solely to gain more insight into the topic of interest.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki. As part of the regular ethical procedures, the study design and data collection procedures were evaluated against the Ethical Decision Tree and approved (Local Ethics Committee of the Windesheim University of Applied Science (Zwolle, The Netherlands)).

Informed Consent Statement

Participant consent was waived by the ethical committee due to the nature of the study and since participants’ anonymity was guaranteed at data collection.

Data Availability Statement

The datasets generated and/or analyzed during the current review are available from the corresponding author upon reasonable request.

Acknowledgments

Special thanks go to Bas Schutte, who supported this study from the start.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Bailey, R.; Hillman, C.; Arent, S.; Petitpas, A. Physical activity: An underestimated investment in human capital? J. Phys. Act. Health 2013, 10, 289–308. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Fraser-Thomas, J.L.; Côté, J.; Deakin, J. Youth sport programs: An avenue to foster positive youth development. Phys. Educ. Sport Pedagog. 2005, 10, 19–40. [Google Scholar] [CrossRef] [Green Version]
  3. Eime, R.M.; Young, J.A.; Harvey, J.T.; Charity, M.J.; Payne, W.R. A systematic review of the psychological and social benefits of participation in sport for children and adolescents: Informing development of a conceptual model of health through sport. Int. J. Behav. Nutr. Phys. Act. 2013, 10, 98. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Kjønniksen, L.; Anderssen, N.; Wold, B. Organized youth sport as a predictor of physical activity in adulthood. Scand. J. Med. Sci. Sport. 2009, 19, 646–654. [Google Scholar] [CrossRef]
  5. Telama, R. Tracking of physical activity from childhood to adulthood: A review. Obes. Facts 2009, 2, 187–195. [Google Scholar] [CrossRef]
  6. WHO. WHO Guidelines on Physical Activity and Sedentary Behaviour; World Health Organization: Geneva, Switzerland, 2020; pp. 1–582. [Google Scholar]
  7. Global, A. Investments that work for physical activity. Health Promot. 2010, 17, 5–15. [Google Scholar] [CrossRef] [Green Version]
  8. Findlay, L.C.; Garner, R.E.; Kohen, D.E. Children’s organized physical activity patterns from childhood into adolescence. J. Phys. Act. Health 2009, 6, 708–715. [Google Scholar] [CrossRef]
  9. Mathisen, F.K.; Kokko, S.; Tynjälä, J.; Torsheim, T.; Wold, B. Leisure-time physical activity and participation in organized sports: Changes from 1985 to 2014 in finland and norway. Scand. J. Med. Sci. Sport. 2019, 29, 1232–1242. [Google Scholar] [CrossRef] [Green Version]
  10. Taks, M.; Scheerder, J. Youth sports participation styles and market segmentation profiles: Evidence and applications. Eur. Sport Manag. Q. 2006, 6, 85–121. [Google Scholar] [CrossRef]
  11. NOC*NSF. Sportgedrag in Nederland—Onderzoek naar Commitment, Drijfveren en Drempels; NOC*NSF: Arnhem, The Netherlands, 2023. [Google Scholar]
  12. Crane, J.; Temple, V. A systematic review of dropout from organized sport among children and youth. Eur. Phys. Educ. Rev. 2015, 21, 114–131. [Google Scholar] [CrossRef]
  13. Mendonça, G.; Cheng, L.A.; Mélo, E.N.; de Farias Júnior, J.C. Physical activity and social support in adolescents: A systematic review. Health Educ. Res. 2014, 29, 822–839. [Google Scholar] [CrossRef]
  14. Spruijtenburg, G.E.; van Abswoude, F.; Platvoet, S.; de Niet, M.; Bekhuis, H.; Steenbergen, B. Factors related to adolescents’ participation in organized sports. Int. J. Environ. Res. Public Health 2022, 19, 15872. [Google Scholar] [CrossRef]
  15. Welk, G.J. The youth physical activity promotion model: A conceptual bridge between theory and practice. Quest 1999, 51, 5–23. [Google Scholar] [CrossRef]
  16. Gardner, L.A.; Magee, C.A.; Vella, S.A. Enjoyment and behavioral intention predict organized youth sport participation and dropout. J. Phys. Act. Health 2017, 14, 861–865. [Google Scholar] [CrossRef] [Green Version]
  17. Lara-Bercial, S.; Emmonds, S.; Till, K.; Jowett, G.; Gledhill, A.; Weaving, D.; McKenna, J.; Schipper-Van Veldhoven, N. Enhancing Youth Sport Participation in the EU: Rates, Motivations, Barriers and Ways Forward; ICOACHKIDS: Leeds, UK, 2022. [Google Scholar]
  18. Andersen, P.L.; Bakken, A. Social class differences in youths’ participation in organized sports: What are the mechanisms? Int. Rev. Sociol. Sport 2019, 54, 921–937. [Google Scholar] [CrossRef] [Green Version]
  19. Nobis, T.; El-Kayed, N. Social inequality and sport in germany—A multidimensional and intersectional perspective. Eur. J. Sport Soc. 2019, 16, 5–26. [Google Scholar] [CrossRef]
  20. Van den Dool, R. Motieven en belemmeringen om te sporten en te bewegen. Wet. Onderz. 2017, 11, 30–31. [Google Scholar]
  21. D’Haese, S.; Cardon, G.; De Bourdeaudhuij, I.; Deforche, B.; De Meester, F.; Van Dyck, D. Changes in individual and social environmental characteristics in relation to changes in physical activity: A longitudinal study from primary to secondary school. Int. J. Behav. Med. 2016, 23, 539–552. [Google Scholar] [CrossRef]
  22. Pate, R.R.; Dowda, M.; Dishman, R.K.; Colabianchi, N.; Saunders, R.P.; McIver, K.L. Change in children’s physical activity: Predictors in the transition from elementary to middle school. Am. J. Prev. Med. 2019, 56, e65–e73. [Google Scholar] [CrossRef] [Green Version]
  23. Michie, S.; Van Stralen, M.M.; West, R. The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implement. Sci. 2011, 6, 42. [Google Scholar] [CrossRef] [Green Version]
  24. West, R.; Michie, S. A brief introduction to the com-b model of behaviour and the prime theory of motivation [v1]. Qeios 2020, 1–6. [Google Scholar] [CrossRef]
  25. Sullivan, G.M.; Artino, A.R., Jr. Analyzing and interpreting data from likert-type scales. J. Grad. Med. Educ. 2013, 5, 541–542. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Tomczak, M.; Tomczak, E. The need to report effect size estimates revisited. An overview of some recommended measures of effect size. Trends Sport Sci. 2014, 21, 19–25. [Google Scholar]
  27. Lara-Bercial, S.; Hodgson, G.; North, J.; Veldhoven, N.S.-V. The 10 Golden Principles for Coaching Children: Introducing the Icoachkids Pledge; Forum Kinder-und Jugendsport; Springer: Wiesbaden, Germany, 2022; pp. 154–160. [Google Scholar] [CrossRef]
  28. Bergeron, M.F.; Mountjoy, M.; Armstrong, N.; Chia, M.; Côté, J.; Emery, C.A.; Faigenbaum, A.; Hall, G.; Kriemler, S.; Léglise, M. International olympic committee consensus statement on youth athletic development. Br. J. Sport. Med. 2015, 49, 843–851. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Schipper van Veldhoven, N. Sports and Physical Education from a Pedagogical Perspective: A Golden Opportunity; Dam Uitgeverij B.V.: Deventer, The Netherlands, 2017. [Google Scholar]
  30. Faber, I.R.; Sloot, L.; Hoogeveen, L.; Elferink-Gemser, M.T.; Schorer, J. Western approaches for the identification and development of talent in schools and sports contexts from 2009 to 2019-a literature review. High Abil. Stud. 2022, 33, 135–168. [Google Scholar] [CrossRef]
  31. Bailey, R. Physical education and sport in schools: A review of benefits and outcomes. J. Sch. Health 2006, 76, 397–401. [Google Scholar] [CrossRef]
  32. Vertommen, T.; Schipper-van Veldhoven, N.; Wouters, K.; Kampen, J.K.; Brackenridge, C.H.; Rhind, D.J.; Neels, K.; Van Den Eede, F. Interpersonal violence against children in sport in the netherlands and belgium. Child Abus. Negl. 2016, 51, 223–236. [Google Scholar] [CrossRef] [Green Version]
  33. Baar, P.; Wubbels, T. Peer aggression and victimization: Dutch sports coaches’ views and practices. Sport Psychol. 2013, 27, 380–389. [Google Scholar] [CrossRef]
  34. Hughes, L.; Leavey, G. Setting the bar: Athletes and vulnerability to mental illness. Br. J. Psychiatry 2012, 200, 95–96. [Google Scholar] [CrossRef] [Green Version]
  35. Murphy, J.; WOODS, C.; DIJK, D.; SEGHERS, J. Factors and actions to prevent dropout in youth sport: Results of a rapid review and expert opinions. J. Phys. Act. Health 2018, 15, 123–124. [Google Scholar]
  36. Edwards, L.; Bryant, A.; Keegan, R.; Morgan, K.; Jones, A. Definitions, Foundations and Associations of Physical Literacy: A Systematic Review. Br. J. Sport. Med. 2017, 47, 113–126. [Google Scholar] [CrossRef] [Green Version]
  37. Somerset, S.; Hoare, D.J. Barriers to voluntary participation in sport for children: A systematic review. BMC Pediatr. 2018, 18, 47. [Google Scholar] [CrossRef]
  38. Allison, R.; Bird, E.L.; McClean, S. Is team sport the key to getting everybody active, every day? A systematic review of physical activity interventions aimed at increasing girls’ participation in team sport. AIMS Public Health 2017, 4, 202. [Google Scholar] [CrossRef]
  39. Fix, M.; Schipper-van Veldhoven, N.; Lara-Bercial, S.; North, J.; Rankin-Wright, A.J.; O’Leary, D.; Quinn, S.; Van der Haegen, K.; Dupuis, M.; Navarro, R.; et al. Coaching Children—Literature Review; ICOACHKIDS: Leeds, UK, 2017. [Google Scholar]
Table 1. Sample characteristics.
Table 1. Sample characteristics.
Total (n)M (n)F (n)D (n)Total (%)M (%)F (%)D (%)
Club sports416201209656.127.128.20.8
Commercial sports802056410.82.77.60.5
Urban sports432221-5.83.02.8-
Combination73393169.95.34.20.8
No sports1294281-17.45.710.9-
Total sample74132439819100.043.753.72.6
M—male, F—female and D—diverse.
Table 2. Questionnaire outcomes per sport type.
Table 2. Questionnaire outcomes per sport type.
StatementTotal SampleClub SportsCommercial SportsUrban SportsCombinationNo Sports
Motivation for sport participationFun/Pleasure—I do sports…
because I like it or it makes me happy4.46 (0.89)4.54 (0.84)4.18 (1.11)4.40 (0.93)4.40 (0.84)-
because I feel I have to2.26 (1.26)2.15 (1.22)2.51 (1.30)2.80 (1.42)2.34 (1.19)-
because my parents/guiders want me to1.61 (0.92)1.61 (0.9301.59 (0.91)1.76 (0.94)1.52 (0.88)-
because I feel good after exercising3.97 (0.96)4.02 (0.93)3.75 (1.11)3.86 (1.01)4.01 (0.91)-
to develop (more) self-confidence3.35 (1.16)3.30 (1.16)3.55 (1.09)3.45 (1.27)3.29 (1.11)-
to relax3.58 (1.13)3.60 (1.14)3.66 (1.12)3.43 (1.17)3.49 (1.11)-
Performance—I do sport…
to become better at sports3.95 (0.98)4.01 (0.96)3.70 (0.86)3.52 (1.13)4.07 (1.03)-
because I want to win3.06 (1.28)3.21 (1.26)2.39 (1.18)2.69 (1.30)3.19 (1.26)-
to compare my performance with others2.17 (1.10)2.16 (1.06)2.07 (1.14)2.26 (1.25)2.29 (1.20)-
for the challenge/achievement3.68 (1.03)3.70 (1.01)3.55 (1.15)3.45 (1.04)3.87 (0.97)-
to become a top athlete2.86 (1.32)2.98 (1.31)2.58 (1.31)2.23 (1.23)2.80 (1.30)-
to improve my health3.87 (1.04)3.70 (1.04)3.63 (1.13)3.81 (1.03)3.70 (1.00)-
to learn new skills4.13 (0.86)4.18 (0.79)3.86 (1.09)4.12 (0.90)4.17 (0.87)-
to get stronger/more muscular3.13 (1.25)3.13 (1.25)3.18 (1.38)3.21 (1.12)3.07 (1.22)-
Community—I do sport…
because you meet other young people3.03 (1.07)3.17 (1.04)2.77 (1.12)2.70 (1.07)2.70 (1.03)-
because I like the atmosphere of sports4.13 (0.91)4.25 (0.83)3.72 (1.13)4.05 (0.85)3.97 (0.98)-
because friends do this sport, too2.52 (1.21)2.56 (1.20)2.37 (1.28)2.73 (1.23)2.30 (1.09)-
because it’s fun4.24 (0.85)4.31 (0.83)4.00 (0.96)4.00 (0.82)4.23 (0.84)-
because my parents are also members of the sports club1.63 (0.95)1.69 (1.00)1.60 (0.91)1.35 (0.58)1.51 (0.88)-
because I feel part of the group3.42 (1.15)3.56 (1.13)3.13 (1.24)3.23 (1.11)3.03 (1.05)-
Barriers to sport participationMotivation—I do less/no sport…
because my friends also do less/no exercise1.51 (0.84)1.44 (0.77)1.65 (0.87)1.63 (0.94)1.36 (0.81)1.69 (1.00)
because it’s too focused on performance1.67 (0.98)1.50 (0.78)1.77 (1.06)2.08 (1.1)11.43 (0.81)2.20 (1.30)
because I like other leisure activities2.20 (1.27)1.81 (1.02)2.16 (1.14)2.85 (1.26)1.81 (1.12)3.45 (1.29)
because I don’t like it (anymore)1.85 (1.16)1.55 (0.95)1.79 (0.98)2.10 (1.09)1.50 (0.88)2.94 (1.31)
because the sport level is not adequate1.66 (0.92)1.55 (0.88)1.71 (0.87)1.97 (1.08)1.52 (0.80)1.98 (1.01)
because I am not that good at it1.66 (0.97)1.43 (0.74)1.64 (0.96)1.93 (1.05)1.38 (0.75)2.53 (1.20)
because I am afraid of loosing1.49 (0.83)1.37 (0.69)1.45 (0.69)1.56 (0.88)1.34 (0.66)1.94 (1.15)
Capability—I do less/no sport…
because I don’t like getting to know new people1.77 (1.05)1.53 (0.81)1.69 (0.86)2.00 (1.11)1.46 (0.82)2.70 (1.40)
because of an injury1.93 (1.15)1.98 (1.17)1.84 (0.97)1.90 (1.08)1.91 (1.23)1.84 (1.19)
because of the negative atmosphere within the sport/team1.68 (1.03)1.59 (0.94)1.68 (1.07)1.82 (1.01)1.46 (0,98)2.06 (1.27)
because I have had negative experiences with other people in sports1.71 (1.01)1.58 (0.87)1.89 (1.07)1.93 (1.14)1.40 (0.86)2.13 (1.23)
because I think it is too expensive1.50 (0.83)1.38 (0.71)1.56 (0.79)1.48 (0.75)1.46 (0,83)1.88 (1.09)
Opportunity—I do less/no sport…
because the sport I want to do is not located nearby1.69 (1.02)1.53 (0.90)1.93 (1.03)1.92 (1.16)1.43 (0.97)2.16 (1.22)
because there are no fun sports in my area1.67 (1.01)1.46 (0.82)1.68 (0.92)1.95 (1.11)1.35 (0.76)2.50 (1.30)
because my parents don’t allow me (anymore) to do sports/exercise1.27 (0.61)1.26 (0.58)1.29 (0.54)1.30 (0.52)1.19 (0.52)1.35 (0.81)
because of lack of time due to school or work2.25 (1.27)2.00 (1.18)2.12 (1.18)2.86 (1.22)1.93 (1.19)3.09 (1.24)
because my parents think it is too expensive1.44 (0.80)1.36 (0.70)1.55 (0.87)1.51 (0.76)1.31 (0.63)1.69 (1.09)
Choosing a new sportMotivation—Importance of…
Personal attention of trainers/instructor3.43 (1.05)3.50 (1.02)3.55 (1.19)3.46 (0.95)3.31 (1.01)3.14 (1.06)
Being able to exercise at my own level4.11 (0.89)4.15 (0.82)4.08 (0.98)4.12 (1.02)4.22 (0.88)3.92 (0.98)
A skilled trainer/coach/instructor4.32 (0.83)4.41 (0.72)4.23 (0.88)4.07 (1.10)4.32 (0.73)4.12 (0.93)
Being able to play sports with others of the same level3.91 (0.96)4.00 (0.91)3.85 (1.00)3.76 (0.96)3.83 (0.96)3.75 (1.08)
Being able to exercise with friends3.45 (1.06)3.47 (1.05)3.19 (1.10)3.63 (1.02)3.38 (1.14)3.50 (1.02)
Positive atmosphere within the team/sport4.43 (0.79)4.50 (0.72)4.33 (0.86)4.26 (0.83)4.44 (0.73)4.33 (0.97)
Capability/Opportunity—Importance of…
1-day tournaments2.83 (1.13)3.02 (1.12)2.55 (1.10)2.68 (1.04)2.73 (1.15)2.33 (1.00)
The timeslot when you can exercise3.82 (0.97)3.85 (0.90)3.85 (1.01)3.81 (1.07)3.79 (1.04)3.72 (1.11)
Being able to do different sports/activities2.87 (1.11)2.87 (1.10)3.05 (1.23)3.23 (1.00)2.79 (1.14)2.64 (1.05)
Being able to play competitions/matches3.63 (1.27)4.06 (1.09)2.94 (1.22)3.10 (1.14)3.78 (1.19)2.78 (1.23)
Accessibility (e.g., by bicycle)3.79 (0.95)3.81 (0.94)3.70 (0.95)3.80 (0.90)3.75 (0.94)3.81 (1.03)
The days you can work out3.86 (0.92)3.85 (0.91)3.90 (0.90)3.74 (1.00)3.89 (0.95)3.86 (0.96)
Being able to exercise on different days or time-slots3.65 (0.98)3.67 (0.95)3.61 (1.01)3.59 (1.07)3.83 (0.96)3.50 (1.02)
Data are means (SD). Light grey: mean ≥3.7 and <4.0, considered moderately relevant. Dark grey: mean ≥4.0, considered highly relevant.
Table 3. Comparison between sport types using combined questionnaire scores.
Table 3. Comparison between sport types using combined questionnaire scores.
Total SampleClub SportsCommercial SportsUrban SportsCombinationNo SportsFpPartial η2
Motivation for sport participation
Fun/Pleasure 13.91 (0.55)3.95 (0.54)3.84 (0.62)3.76 (0.60)3.89 (0.50)-2.3280.0740.011
Performance3.33 (0.67)3.38 (0.64)3.11 (0.75)3.17 (0.68)3.41 (0.68)-3.3080.020 *0.016
Community3.16 (0.62)3.26 (0.59)2.9 2(0.74)3.00 (0.52)2.95 (0.52)-11.988<0.001 *0.056
Barriers to sport participation
Motivation1.75 (0.78)1.5 (0.66)1.8 (0.73)2.0 (0.75)1.5 (0.64)2.4 (0.81)40.418<0.001 *0.187
Capability1.74 (0.76)1.6 (0.71)1.7 (0.70)1.8 (0.75)1.5 (0.69)2.2 (0.86)12.865<0.001 *0.068
Opportunity1.69 (0.73)1.5 (0.66)1.7 (0.65)1.9 (0.70)1.5 (0.65)2.2 (0.76)22.990<0.001 *0.116
Choosing a new sport
Motivation3.93 (0.63)4.00 (0.58)3.87 (0.72)3.87 (0.70)3.91 (0.57)3.80 (0.71)3.5710.007 *0.019
Capability/Opportunity3.49 (0.66)3.59 (0.64)3.37 (0.73)3.44 (0.61)3.52 (0.62)3.49 (0.65)7.275<0.001 *0.039
Data are means (SD). 1 Reverse scores were used for the statements ‘I do sports because I feel I have to’ and ‘I do sports because my parents/guiders want me to’. * p < 0.05. Gender was included as a covariate. Pairwise comparisons with Bonferroni correction for multiple testing with significant findings: Motivation for sport participation: Community—club sport versus commercial sports (p < 0.001; Hedges’ g = 0.556), urban sports (p = 0.036; Hedges’ g = 0.453) and combination (p < 0.001; Hedges’ g = 0.537). Barriers for sport participation: Motivation—club sports versus urban sports (p < 0.001; Hedges’ g = 0.326), urban sports versus combination (p < 0.001; Hedges’ g = 0.800), no sports versus club sports (p <0.001; Hedges’ g = 1.252), commercial sports (p < 0.001; Hedges’ g = 0.842), urban sports (p < 0.031; Hedges’ g = 0.483) and combination (p < 0.001; Hedges’ g = 1.233). Capability—no sports versus club sports (p < 0.001; Hedges’ g = 0.709), commercial sports (p < 0.001; Hedges’ g = 0.530) and combination (p < 0.001; Hedges’ g = 0.763). Opportunity—club sports versus urban sports (p < 0.001; Hedges’ g = 0.578), no sports versus club sports (p < 0.001; Hedges’ g = 0.935), commercial sports (p < 0.001; Hedges’ g = 0.637) and combination (p < 0.001; Hedges’ g = 0.997). Choosing a new sport: Motivation—club sports versus no sports (p < 0.005; Hedges’ g = 0.338). Capability/Opportunity—club sports versus commercial sports (p < 0.039; Hedges’ g = 0.333) and club sports versus no sports (p < 0.001; Hedges’ g = 0.504).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Faber, I.R.; De Greeff, J.W.; Bostelaar, A.; Schipper-van Veldhoven, N. What Moves Youth?—A Survey to Explore the Motivation and Barriers of Dutch Young Adolescents (12–15 Years) to Participate in Sports. Youth 2023, 3, 835-846. https://doi.org/10.3390/youth3030054

AMA Style

Faber IR, De Greeff JW, Bostelaar A, Schipper-van Veldhoven N. What Moves Youth?—A Survey to Explore the Motivation and Barriers of Dutch Young Adolescents (12–15 Years) to Participate in Sports. Youth. 2023; 3(3):835-846. https://doi.org/10.3390/youth3030054

Chicago/Turabian Style

Faber, Irene Renate, Johannes W. De Greeff, Arnoud Bostelaar, and Nicolette Schipper-van Veldhoven. 2023. "What Moves Youth?—A Survey to Explore the Motivation and Barriers of Dutch Young Adolescents (12–15 Years) to Participate in Sports" Youth 3, no. 3: 835-846. https://doi.org/10.3390/youth3030054

Article Metrics

Back to TopTop