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Article

Differences in Sitting Time by Club Sports Participation among Austrian Youth

1
Division of Physical Education and Sports, University of Education Stams—KPH-ES, 6422 Stams, Austria
2
Department of Sport Science, University of Innsbruck, 6020 Innbruck, Austria
3
Division of Sport, Physical Activity and Health, University of Education Upper Austria, 4020 Linz, Austria
*
Author to whom correspondence should be addressed.
Youth 2024, 4(3), 1158-1167; https://doi.org/10.3390/youth4030072
Submission received: 13 May 2024 / Revised: 24 July 2024 / Accepted: 29 July 2024 / Published: 1 August 2024

Abstract

:
Despite the well-documented detrimental health effects of prolonged engagement in sedentary behaviors, children and adolescents spent a large amount of time with seated activities. The present study examined the association between participation in club sports and various sedentary behaviors during weekdays and the weekend in youth between 11 and 17 years of age. A total of 1225 (50.1% male) adolescents completed a validated questionnaire that examined sitting time in activities related to work as well as during leisure time such as screen use, reading, and listening to music in addition to sleep time. Participants spent an average of 12.7 ± 1.7 and 9.9 ± 2.0 h/day during weekdays and the weekend, respectively, in seated behaviors while they were awake. Club sports participants reported less time spent sitting (p < 0.01), which was mainly attributed to recreational activities (e.g., screen use, reading, listening to music). Sleep time during weekdays, on the other hand, was higher in club sports participants. Sex-specific results further showed that differences by club sports participation were more pronounced in girls compared to boys. Despite the potential beneficial effects of club sports participation, additional efforts are needed to reduce sitting time in adolescents as either group spent the majority of their time awake with sedentary behaviors.

1. Introduction

Many studies have emphasized the importance of physical activity (PA) and motor competence for the development of children and adolescents [1,2,3,4]. Prolonged engagement in sedentary behaviors along with low PA, on the other hand, has been associated with detrimental health effects [5,6]. Accordingly, current PA guidelines recommend a minimum of 60 min per day of moderate-to-vigorous PA along with a reduction in sedentary time [7]. Despite the well-documented benefits of PA on health and development in children and adolescents there has been a dramatic behavioral shift in almost all industrialized countries over the last several decades that resulted in low PA among youth [8,9,10]. Sedentary behaviors, such as watching TV or playing computer games, on the other hand, became predominant behavioral leisure time choices [11,12,13,14]. Accordingly, the latest global estimates by the WHO show that more than three quarters of young people do not meet current PA recommendations and spend most of their leisure time sitting [9]. This negative lifestyle change is a major risk factor for the development of many chronic diseases such as overweight and obesity, type 2 diabetes, metabolic disorders, cancer, and even premature death [6,15,16]. Nevertheless, the reduction of sedentary time in the population has been a challenge, and sedentary behavior, therefore, has become a major health threat in modern society [17].
It should also be considered that sedentary behaviors can be accumulated in different domains, such as work/school related sitting as well as recreational sitting, including screen time and reading or listening to music. Among university students, for example, only one third of sedentary time was attributed to recreational behaviors [18]. To be able to address the problem of excess sedentary time, it is important to consider different domains and settings. In addition, intervention strategies should start at young ages as childhood and adolescence are critical periods for growth and development [19]. Furthermore, various habits start to be developed during adolescence since adolescents start to become more independent from their parents and begin to make their own life choices [20]. The importance of this age period is emphasized by the fact that 70% of premature deaths in adults can be attributed to behaviors that have been initiated or reinforced during adolescence [21]. It is, therefore, important to enhance the understanding of correlates with detrimental health choices such as excess sitting time.
Club sports participation has been associated with various health behaviors, including physical activity [22,23,24], dietary habits [25], and socio-emotional outcomes [23,26]. Particularly team sports (compared to individual sports) and outdoor sports (compared to indoor sports) have been shown to be associated with increased PA intensity within the variety of club sports [27]. In addition, there appears to be an inverse association between club sports engagement and sedentary behavior [24,28,29,30,31,32]. At this time, there remains limited information on the association of specific types of sedentary behaviors with club sports participation in youth. The novelty of this research, therefore, is in exploring differences in various school-related and recreational seated behaviors as well as sleep time, rather than total sedentary time, by club sports participation.
Specifically, this study examines differences in time spent sleeping, sitting for schoolwork, and recreational sitting among Austrian adolescents who are actively involved with club sports or not. It was hypothesized that club sports participants engage in less recreational sitting due to their engagement in more active recreational behaviors. Time spent in school-related sitting time, on the other hand, would be similar due to the similar workload and schedules of club sports and non-club sports participants.

2. Materials and Methods

This cross-sectional study examined the association of sitting times during weekdays as well as during the weekend with club sports participation among 11- to 17-year-old secondary school students. In the present study, “sitting” represents a collective term for sedentary or reclining behavior during waking hours with low energy consumption (<1.5 MET (=metabolic equivalent)) [33].
Ten secondary schools (grades 5 through 12) within the Federal State of Tyrol in Western Austria were randomly selected for participation in the study. Four schools declined to participate due to organizational difficulties; from the six remaining schools, 1225 (50.2% male) students provided valid data. The study was approved by the responsible school authority (Tyrolean Directorate of Education), the principals of the participating schools, and the Institutional Review Board of the University of Innsbruck (Certificate of good standing, 31/2022). Prior to data collection, parents/guardians were informed in writing about the study and their written consent was obtained. Participants provided assent during data collection, which took place between March 2023 and April 2023.

2.1. Assessment of Daily Sitting Times

The validated “Heidelberg questionnaire for recording sitting behavior of children and adolescents” [34] was used to determine the time spent in various sedentary activities. Specifically, participants indicated how much time (hours/day) they spent on the following activities on an average school or weekend day, rounded up to the nearest 0.5 h:
-
Sleeping (time spent lying down)
-
Eating (time spent sitting down)
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Working while sitting at school
-
Working while sitting at home
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Travelling while sitting
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Sedentary activities in leisure time (games, computer, television, cinema, reading)
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Other sedentary activities
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Sport activities
Questionnaires were completed on site at the participating schools. To ensure the accuracy of the data, the individual dimensions were first checked for plausibility. Questionnaires with logically incomprehensible outliers (e.g., total hours per day > or <24) were excluded from the analysis.

2.2. Assessment of Sports Club Membership and Weight Status

Participation in club sports was recorded using the question: “Are you a member of a sports club” (yes/no). Based on this information, the participants were categorized into two groups: sports club members and non-sports club members.
In addition, body weight and height were measured with participants wearing sports clothes and no shoes (barefoot) in the school gymnasium. Body weight was measured to the nearest 0.1 kg using a calibrated electronic scale (SECA® 804, Seca, Hamburg, Germany) and height was measured to the nearest 0.1 cm using a mobile stadiometer (SECA® 217, Seca, Hamburg, Germany). Based on these values, body mass index (BMI, kg/m2) was calculated and converted into BMI percentiles using the German BMI reference system of Kromeyer-Hauschild et al. [35]. A BMI between the 90th and 97th percentile was considered overweight and values above the 97th percentile were considered obese.

2.3. Data Analysis

Descriptive characteristics were calculated with continuous data being reported as mean with standard deviation, while frequencies are used for nominal scaled data. ANOVA was used to examine differences in anthropometric characteristics and MANOVA was used to examine differences in various sedentary behaviors during weekdays and the weekend by club sport participation across the total sample and separately for boys and girls. In addition, MANCOVA was used to account for differences in age between club sports and non-club sports participants. Partial eta squared (ηp2) was used to estimate effect sizes with values between 0.01 and 0.06 indicating a small effect, values between 0.06 and 0.14 indicating a moderate effect, and values above 0.14 indicating a large effect [36]. All statistical analyses were performed with SPSS 29.0 (SPSS Inc., IBM Corp., Armonk, NY, USA) with a significance level set at p < 0.01 due to multiple comparisons. Accordingly, there remains a 1% chance of reporting false positive associations between club sports participation and sedentary behaviors in adolescents.

3. Results

A total of 1225 (50.2% male) provided complete and valid data. The average age of the participants was 13.3 ± 1.9 years and the prevalence of overweight/obesity was 20.2%. Among the total sample, 39.5% participated in club sports, with a higher participation rate being observed in boys compared to girls (43.4% vs. 35.6%; p < 0.01).
Table 1 displays anthropometric characteristics for those reporting club sports participation and no club sports participation. Club sports participants were significantly younger than those with no club sports engagement (p < 0.01). Accordingly, their body weight and height were lower while there was no significant difference in BMI percentile by club sports participation. Nevertheless, the prevalence of overweight/obesity was lower in club sports participants compared to those not participating in club sports (16.1% vs. 22.8%; p < 0.01). Sex-specific analyses showed similar results in boys, while in girls there were no differences in body weight and height between club sports and non-club sports participants. There was also a higher prevalence of overweight/obesity among boys compared to girls (24.6% vs. 15.7%; p < 0.01). Both boys and girls engaging in club sports, however, displayed a lower prevalence of overweight/obesity than their peers not participating in club sports (boys: 21.0% vs. 27.3%; girls: 10.1% vs. 18.8%).
During weekdays, participants spent almost 13 h per day with seated behaviors and more than half of sitting time was attributed to school. On weekends, total average sitting time amounted to almost 10 h/day but the contribution of schoolwork was limited. There were significant differences, albeit with a small effect size, in sitting time between club sports participants and those with no engagement in club sports on weekdays (Wilks Lambda = 0.95, p < 0.01, ηp2 = 0.05) and during the weekend (Wilks Lambda = 0.95, p < 0.01, ηp2 = 0.05) (Table 2). Sitting for leisure activities (e.g., screen use, reading, listening to music) was significantly higher in those not engaging in club sports on weekdays and during the weekend (p < 0.01) while no differences were observed for school-related seated activities. Sleep time during weekdays and sitting while eating during the weekend, however, were higher in club sport participants. Nevertheless, total sitting time was significantly lower in club sports participants compared to their peers not engaging in club sports (p < 0.01). These results stayed essentially the same after adjusting for age, except for time spent sitting while reading or listening to music, which did not differ during weekdays between club sports and non-club sports participants.
Sex-specific analyses also showed significantly lower sitting time during weekdays (girls: Wilks Lambda = 0.93, p < 0.01, ηp2 = 0.07; boys: Wilks Lambda = 0.95, p < 0.01, ηp2 = 0.05) and the weekend (girls: Wilks Lambda = 0.93, p < 0.01, ηp2 = 0.07; boys: Wilks Lambda = 0.96, p < 0.01, ηp2 = 0.04) among club sports participants compared to their peers without club sports (Table 3). Among girls, the higher sitting time in non-club sports participants was attributed to a higher sitting time for screen use on weekdays and the weekend. Among boys, non-club sport participants reported higher recreational sitting time (e.g., reading, listening to music) while the difference in sitting for screen use was only significant during weekdays. As was shown for the total sample, there were no differences in work-related seated activities by club sports participation in the sex-specific analyses.
The previously reported, results remained essentially unchanged in girls after adjusting for age, except for the difference in sleep time during weekdays, which was no longer significant. Among boys, on the other hand, differences in sitting times during weekdays no longer differed between club sports and non-club sports participants after adjusting for age, while club sports participation was associated with a longer sleep time. During the weekend, the difference by club sports participation in recreational sitting time (e.g., reading, listening to music) remained significant (Figure 1).

4. Discussion

As research on correlates of distinct sedentary domains remains sparse, the aim of this cross-sectional study was to examine differences in various seated behaviors and sleep time between adolescents engaging in club sports and those not participating in club sports. The prevalence of club sports participation was almost 40%, and boys displayed a higher club sports participation rate than girls, which is consistent with previous studies [25,28,32]. Across the entire sample, participants spent almost 80% and 70% of their waking time with seated behaviors on weekdays and the weekend, respectively. More than half of the sitting time during weekdays was attributed to schoolwork, while time spent sitting for schoolwork was limited on weekend days. Nevertheless, club sports participation was associated with a lower sitting time during leisure time on weekdays and during the weekend, which confirms the hypotheses. Given a similar schedule during school time along with the same workload, it would be unlikely to expect beneficial effects of club sports on work-related sitting time. The beneficial effects of club sports participation on recreational sitting time may be attributed to the time spent being physically active in sports clubs. Even though these results were consistent among boys and girls, sex-specific analyses revealed a more pronounced effect of club sports participation on sitting time in girls than in boys. Furthermore, higher sitting time in non-club sports participants was predominantly attributed to screen-time among girls while differences among boys were predominantly attributed to sitting for reading and listening to music.
Previous studies also reported a lower sitting time along with reduced screen time in club sports participants [24,30,31]. Examining different seated behaviors, it could be further shown that this difference is due to leisure time choices as differences in work-related sitting were limited. Furthermore, the results were more pronounced in girls with recreational screen time being the predominant contributor to the observed differences. Screen time has been shown to be particularly harmful to cardiometabolic health [37], and high screen time during childhood and adolescence has been associated with an increased risk for metabolic syndrome during adulthood [38]. As more than one third of total sedentary time in girls can be attributed to screen time [39], club sports may present a viable intervention strategy to reduce sedentary time and promote physical activity in female adolescents. A large-scale study further showed that lower screen time was associated with better self-rated health in girls but not in boys [40]. Given the fact that girls are less likely to engage in club sports [41], promoting organized sports participation among girls may be a viable strategy to enhance their future health and well-being.
Among boys, on the other hand, club sports participation was not associated with screen time. Dahlgren et al. [42] did not report a correlation between objectively measured physical activity and screen time in adolescents, which shows that adolescents can be active (e.g., engage in sports) but also engage in a high amount of sedentary time. The possibility of meeting PA recommendations while displaying a high amount of sedentary time is also emphasized by the high amount of sitting time in the present study. Even though previous studies reported lower total sitting times [42,43], sedentary behaviors have been the dominant recreational choice in adolescents. Furthermore, screentime has been shown to increase with age during adolescence [44]. Age differences in the studies, therefore, may explain the observed differences in total sedentary time. The higher sitting times observed in the present study may also represent a long-term effect of the movement restrictions implemented in response to the COVID-19 pandemic. Recent studies in Tyrolean youth [45,46] showed a significant increase in sedentary time during COVID-19 restrictions (e.g., distance learning, closure of sports facilities, etc.) and Salway et al. [47] reported higher screen time post COVID-19 restrictions in 10- to 11-year-old children. Participants in the present study, therefore, may still not have returned to their pre-COVID-19 routines and, therefore, report a higher amount of sedentary behavior.
In addition to a potential benefit regarding leisure time choices, club sports participation has been associated with longer sleep time. Previous studies also reported beneficial associations between sports participation and sleep time in adolescents [24,29], while prolonged sitting time has been associated with reduced sleep quality and duration [24]. Even though any form of PA has been associated with better sleep characteristics, benefits may be more pronounced with sports participation, as engagement in sports has been associated with a higher amount of vigorous PA [48]. As sleep habits change dramatically during adolescence [49], along with the fact that insufficient sleep is associated with various health risks in adolescents, including increased risk of obesity, reduced attention and executive functioning, along with mood disturbances [50], club sports participation could provide a variety of health benefits in this critical age period.
Some limitations of the present study, however, should be considered when interpreting the results of the present study. Due to the cross-sectional nature of the study, causal relationships cannot be established. In addition, information on sedentary behaviors and sports participation were obtained via questionnaires, which have an inherent risk of misreporting due to social desirability and recall error. This may result in underreporting of specific sedentary behaviors (e.g., recreational sitting time) while school-related work may be overreported. There was also no information on socio-economic background, living situation, and the type and volume of sports participants engaged in. Torstveit et al. [30], however, showed beneficial associations between sports participation and behavioral choice regardless of frequency of participation. The use of a validated questionnaire to assess different sedentary behaviors along with the large sample size should also be considered a strength of the study.

5. Conclusions

Given the harmful effects of sedentary behaviors on various health outcomes [6,51], the present study, along with previous research, provides important information on the beneficial role of club sports in youth as even modest participation has been associated with improved lifestyle habits [26,30]. Sports participation, however, declines with increasing age during adolescence [41], even though it offers an ideal opportunity to promote an active lifestyle among youth. The present study further indicates that the beneficial associations are particularly pronounced in girls, who are generally less active than boys [52]. As early participation in organized sports has been shown to have a lasting effect into adulthood [53,54], providing easy access to and promoting participation in club sports in youth appears to be a viable strategy to facilitate future health and well-being. Given the limited effects of club sports participation on school-related sitting time, additional efforts during school-time are warranted to reduce sitting time in adolescents.

Author Contributions

Conceptualization, K.G. and C.D.; methodology, K.G. and C.D.; formal analysis, C.D. and K.G.; investigation, K.G., E.O., E.H. and C.G.; resources, K.G. and G.R.; data curation, K.G., C.D. and C.G.; writing—original draft preparation, K.G. and C.D.; writing—review and editing, G.R., E.O., E.H. and C.G.; visualization, C.D.; supervision, K.G.; project administration, K.G. and G.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of the University of Innsbruck (Certificate of good standing, 31/2022, date of approval: 30 March 2022).

Informed Consent Statement

Parental informed consent of minors was obtained and all subjects involved in the study provided oral assent.

Data Availability Statement

Data from this study are not public due to privacy policies and are available upon request to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Kemper, H.C.; Twisk, J.; Koppes, L.; van Mechelen, W.; Post, G.B. A 15-year physical activity pattern is positively related to aerobic fitness in young males and females (13–27 years). Eur. J. Appl. Physiol. 2001, 84, 395–402. [Google Scholar] [CrossRef] [PubMed]
  2. Belton, S.; O’ Brien, W.; Meegan, S.; Woods, C.; Issartel, J. Youth-Physical Activity Towards Health: Evidence and background to the development of the Y-PATH physical activity intervention for adolescents. BMC Public Health 2014, 14, 122. [Google Scholar] [CrossRef] [PubMed]
  3. Li, H.; Zhang, W.; Yan, J. Physical activity and sedentary behavior among school-going adolescents in low- and middle-income countries: Insights from the global school-based health survey. PeerJ 2024, 12, e17097. [Google Scholar] [CrossRef]
  4. Janssen, I.; Leblanc, A.G. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int. J. Behav. Nutr. Phys. Act. 2010, 7, 40. [Google Scholar] [CrossRef] [PubMed]
  5. Carson, V.; Hunter, S.; Kuzik, N.; Gray, C.E.; Poitras, V.J.; Chaput, J.P.; Saunders, T.J.; Katzmarzyk, P.T.; Okely, A.D.; Gorber, S.C.; et al. Systematic review of sedentary behavior and health indicators in school-aged children and youth: An update. Appl. Physiol. Nutr. Metab. 2016, 41, S240–S265. [Google Scholar] [CrossRef] [PubMed]
  6. Patterson, R.; McNamara, E.; Tainio, M.; de Sá, T.H.; Smith, A.D.; Sharp, S.J.; Edwards, P.; Woodcock, J.; Brage, S.; Wijndaele, K. Sedentary beaviour and risk of all-cause, cardiovascular and cancer mortality, and incidence of type 2 diabetes: A systematic review and dose-response meta-analysis. Eur. J. Epidemiol. 2018, 33, 811–829. [Google Scholar] [CrossRef] [PubMed]
  7. Bull, F.C.; Al-Ansari, S.S.; Biddle, S.; Borodulin, K.; Buman, M.P.; Cardon, G.; Carty, C.; Chaput, J.-P.; Chastin, S.; Chou, R.; et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br. J. Sports Med. 2020, 54, 1451–1462. [Google Scholar] [CrossRef] [PubMed]
  8. Katzmarzyk, P.T.; Barreira, T.V.; Broyles, S.T.; Champagne, C.M.; Chaput, J.-P.; Fogelholm, M.; Hu, G.; Johnson, W.D.; Kuriyan, R.; Kurpad, A.; et al. Physical Activity, Sedentary Time, and Obesity in an International Sample of Children. Med. Sci. Sports Exerc. 2015, 47, 2062–2069. [Google Scholar] [CrossRef] [PubMed]
  9. Greier, K.; Riechelmann, H.; Ruedl, G.; Drenowatz, C. Changes in motor competence over four decades in 10 to 14-year-old Austrian boys. Curr. Issues Sport Sci. 2019, 4, 012. [Google Scholar] [CrossRef]
  10. Guthold, R.; Stevens, G.A.; Riley, L.M.; Bull, F.C. Global trends in insufficient physical activity among adolescents: A pooled analysis of 298 population-based surveys with 1.6 million participants. Lancet Child Adolesc. Health 2020, 4, 23–35. [Google Scholar] [CrossRef]
  11. Biddle, S.J.; Marshall, S.; Gorely, T.; Cameron, N. Temporal and environmental patterns of sedentary and active behaviors during adolescents’ leisure time. Int. J. Behav. Med. 2009, 16, 278–286. [Google Scholar] [CrossRef] [PubMed]
  12. Kaiser-Jovy, S.; Scheu, A.; Greier, K. Media use, sports activities, and motor fitness in childhood and adolescence. Wien. Klin. Wochenschr. 2017, 129, 464–471. [Google Scholar] [CrossRef] [PubMed]
  13. Mathers, M.; Canterford, L.; Olds, T. Electronic media use and adolescent health and well-being: Cross-sectional communitystudy. Acad. Pediatr. 2009, 9, 307–314. [Google Scholar] [CrossRef] [PubMed]
  14. Dutra, G.; Kaufmann, C.; Pretto, A.; Albernaz, E. Television viewing habits and their influence on physical activity and childhood overweight. J. Pediatr. 2015, 91, 346–351. [Google Scholar] [CrossRef] [PubMed]
  15. Ekelund, U.; Brown, W.J.; Steene-Johannessen, J.; Fagerland, M.W.; Owen, N.; Powell, K.E.; Bauman, A.E.; Lee, I.-M. Do the associations of sedentary behaviour with cardiovascular disease mortality and cancer mortality differ by physical activity level? A systematic review and harmonised meta-analysis of data from 850060 participants. Br. J. Sports Med. 2019, 53, 886–894. [Google Scholar] [CrossRef] [PubMed]
  16. Patel, A.V.; Bernstein, L.; Deka, A.; Feigelson, H.S.; Campbell, P.T.; Gapstur, S.M.; Colditz, G.A.; Thun, M.J. Leisure time spent sitting in relation to total mortality in a prospective cohort of US adults. Am. J. Epidemiol. 2010, 172, 419–429. [Google Scholar] [CrossRef] [PubMed]
  17. Chastin, S.F.; De Craemer, M.; De Cocker, K.; Powell, L.; Van Cauwenberg, J.; Dall, P.; Hamer, M.; Stamatakis, E. How does light-intensity physical activity associate with adult cardiometabolic health and mortality? Systematic review with meta-analysis of experimental and observational studies. Br. J. Sports Med. 2019, 53, 370–376. [Google Scholar] [CrossRef] [PubMed]
  18. Carpenter, C.; Byun, S.E.; Turner-McGrievey, G.; West, D. An exploration of domain-specific sedentary behvaiors in college students by lifestyle factors and sociodemographics. Int. J. Environ. Res. Public Health 2021, 18, 9930. [Google Scholar] [CrossRef]
  19. Van den Berg, G.J.; Lundbrg, P.; Nystedt, P.; Rooth, D.-O. Critical periods during childhood and adolescence. J. Eur. Econ. Assoc. 2014, 12, 1521–1557. [Google Scholar] [CrossRef]
  20. Sawyer, S.M.; Afifi, R.A.; Bearinger, L.H.; Blakemore, S.J.; Dick, B.; Ezeh, A.C.; Patton, G.C. Adolescence: A foundation for future health. Lancet 2012, 379, 1630–1640. [Google Scholar] [CrossRef]
  21. Resnick, M.D.; Catalano, R.F.; Sawyer, S.M.; Viner, R.; Patton, G.C. Seizing the opportunities of adolescent health. Lancet 2012, 379, 1564–1567. [Google Scholar] [CrossRef] [PubMed]
  22. Hebert, J.J.; Moller, N.C.; Andersen, L.B.; Wedderkopp, N. Organized sport participation is associated with higher levels of overall health-related physical activity in children (CHAMPS Study-DK). PLoS ONE 2015, 10, e0134621. [Google Scholar] [CrossRef]
  23. Bjørnarå, H.B.; Westergren, T.; Sejersted, E.; Torstveit, M.K.; Hansen, B.H.; Berntsen, S.; Bere, E. Does organized sports participation in childhood and adolescence positively influence health? A review of reviews. Prev. Med. Rep. 2021, 23, 101425. [Google Scholar] [CrossRef] [PubMed]
  24. Makela, K.; Kokko, S.; Kannas, L.; Villberg, J.; Vasankari, T.; Heinonen, J.O.; Savonen, K.; Alanko, L.; Korpelainen, R.; Selänne, H.; et al. Physical activity, screen time and sleep among youth participating and non-participating in organized sports–The Finnish Health Promoting Sports Club (FHPSC) Study. Adv. Phys. Educ. 2016, 6, 378–388. [Google Scholar] [CrossRef]
  25. Cavadini, C.; Decarli, B.; Grin, J.; Narring, F.; Michaud, P.A. Food habits and sport activity during adolescence: Differences between athletic and non-athletic teenagers in Switzerland. Eur. J. Clin. Nutr. 2000, 54 (Suppl. S1), S16–S20. [Google Scholar] [CrossRef] [PubMed]
  26. 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]
  27. Rodrigues, D.; Machado-Rodrigues, A.M.; Gama, A.; Silva, M.-R.G.; Nogueira, H.; Padez, C. Should organized sport characteristics be considered as a strategy for meeting physical activity guidelines in children? Glob. Health Promot. 2024. Epub ahead of print. [Google Scholar] [CrossRef]
  28. Marques, A.; Ekelund, U.; Sardinha, L. Associations between organized sports participation and objectively measured physical activity, sedentary time and weight status in youth. J. Sci. Med. Sport. 2016, 19, 154–157. [Google Scholar] [CrossRef] [PubMed]
  29. Drenowatz, C.; Greier, K. Cross-sectional and longitudinal association of sports participation, media consumption and motor competence in youth. Scand. J. Med. Sci. Sports 2019, 29, 854–861. [Google Scholar] [CrossRef] [PubMed]
  30. Torstveit, M.K.; Johansen, B.T.; Haugland, S.H.; Stea, T.H. Participation in organized sports is associated with decreased likelihood of unhealthy lifestyle habits in adolescents. Scand. J. Med. Sci. Sports 2018, 28, 2384–2396. [Google Scholar] [CrossRef] [PubMed]
  31. Allen, M.S.; Vella, S.A. Are the correlates of sport participation similar to those of screen time? Prev. Med. Rep. 2015, 2, 114–117. [Google Scholar] [CrossRef]
  32. Katzmarzyk, P.; Malina, R. Contribution of organized sports participation to estimated daily energy expenditure in youth. Pediatr. Exerc. Sci. 1998, 10, 378–386. [Google Scholar] [CrossRef]
  33. Sedentary Behaviour Research Network. Letter to the editor: Standardized use of the terms “sedentary” and “sedentary behaviours”. Appl. Physiol. Nutr. Metab. 2012, 37, 540–542. [Google Scholar] [CrossRef] [PubMed]
  34. Lerchen, N.; Köppel, M.; Huber, G. Heidelberger questionnaire for the assessment of sitting behavior in children and adolescents between the ages 5 and 20 years. Bewegungstherapie Gesundheitssport 2016, 32, 109–112. (In German) [Google Scholar] [CrossRef]
  35. Kromeyer-Hauschild, K.; Wabitsch, M.; Kunze, D.; Geller, F.; Geiß, H.C.; Hesse, V.; von Hippel, A.; Jaeger, U.; Johnsen, D.; Korte, W.; et al. Perzentile für den Body-mass-Index für das Kindes-und Jugendalter unter Heranziehung verschiedener deutscher Stichproben. Monatsschrift Kinderheilkd. 2001, 149, 807–818. (In German) [Google Scholar] [CrossRef]
  36. Cohen, J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed.; Erlbaum: Hillsdale, NJ, USA, 1988. [Google Scholar]
  37. Barnett, T.A.; Kelly, A.S.; Young, D.R.; Perry, C.K.; Pratt, C.A.; Edwards, N.M.; Rao, G.; Vos, M.B. Sedentary behaviors in today’s youth: Approaches to the prevention and management of childhood obesity. Circulation 2018, 138, e142–e159. [Google Scholar] [CrossRef] [PubMed]
  38. MacDonnell, N.; Hancox, R.J. Childhood and adolescent television viewing and metabolic syndrome in mid-adulthood. Pediatrics 2023, 152, e2022060768. [Google Scholar] [CrossRef] [PubMed]
  39. Costigan, S.A.; Barnett, L.; Plotnikoff, R.C.; Lubans, D.R. The health indicators associated with screen-based sedentary behavior among adolescent girls: A systematic review. J. Adolesc. Health 2013, 52, 382–392. [Google Scholar] [CrossRef] [PubMed]
  40. Liang, Y.; Ke, Y.; Liu, Y. The associatioons of physical activity and sedentary behavior with self-rated health in Chinese children and adolescents. PLoS ONE 2024, 19, e0304693. [Google Scholar] [CrossRef] [PubMed]
  41. Duffey, K.; Barbosa, A.; Whiting, S.; Mendes, R.; Yordi Aguirre, I.; Tcymbal, A.; Abu-Omar, K.; Gelius, P.; Breda, J. Barriers and facilitators of physical activity participation in adolescent girls: A systematic review of systematic reviews. Front. Public Health 2021, 9, 743935. [Google Scholar] [CrossRef]
  42. Dahlgren, A.; Sjöblom, L.; Eke, H.; Bonn, S.E.; Trolle Lagerros, Y. Screen time and physical activity in children and adolescents aged 10–15 years. PLoS ONE 2021, 16, e0254255. [Google Scholar] [CrossRef]
  43. Lederer, A.; Hoban, M. The development of the American College Health Association-National College Health Assessment III: An improved tool to assess and enhance the health and well-being of college students. J. Am. Coll. Health 2022, 70, 1606–1610. [Google Scholar] [CrossRef] [PubMed]
  44. Kontostoli, E.; Jones, A.P.; Pearson, N.; Foley, L.; Biddle, S.J.; Atkin, A.J. Age-related change in sedentary behavior during childhood and adolescence: A systematic review and meta-analysis. Obes. Rev. 2021, 22, e13263. [Google Scholar] [CrossRef] [PubMed]
  45. Greier, K.; Drenowatz, C.; Greier, C.; Haas, E.; Posch, M.; Ruedl, G.; Riechelmann, H. Correlates of sedentary behaviors in Austrian children and adolescents. AIMS Med. Sci. 2023, 10, 291–303. [Google Scholar] [CrossRef]
  46. Cocca, A.; Greier, K.; Drenowatz, C.; Ruedl, G. Relationship between Objectively and Subjectively Measured Physical Activity in Adolescents during and after COVID-19 Restrictions. Behav. Sci. 2021, 11, 177. [Google Scholar] [CrossRef] [PubMed]
  47. Salway, R.; Walker, R.; Sansum, K.; House, D.; Emm-Collison, L.; Reid, T.; Breheny, K.; Williams, J.G.; de Vocht, F.; Hollingworth, W.; et al. Screen-viewing behaviours of children before and after the 2020–2021 COVID-19 lockdowns in the UK: A mixed methods study. BMC Public Health 2023, 23, 116. [Google Scholar] [CrossRef] [PubMed]
  48. LeBlanc, A.G.; Broyles, S.T.; Chaput, J.P.; Leduc, G.; Boyer, C.; Borghese, M.M.; Tremblay, M.S. Correlates of objectively measured sedentary time and self-reported screen time in Canadian children. Int. J. Behav. Nutr. Phys. Act. 2015, 12, 38. [Google Scholar] [CrossRef] [PubMed]
  49. Kokko, S.; Martin, L.; Geidne, S.; Van Hoye, A.; Lane, A.; Meganck, J.; Scheerder, J.; Seghers, J.; Villberg, J.; Kudlacek, M.; et al. Does sports club participation contribute to physical activity among children and adolescents? A comparison across six European countries. Scand. J. Public Health 2019, 47, 851–858. [Google Scholar] [CrossRef] [PubMed]
  50. Colrain, I.M.; Baker, F.C. Changes in sleep as a function of adolescent development. Neuropsychol. Rev. 2011, 21, 5–21. [Google Scholar] [CrossRef] [PubMed]
  51. Owens, J.A.; Weiss, M. Insufficient sleep in adolescents: Causes and consequences. Minerva Pediatr. 2017, 69, 326–336. [Google Scholar] [CrossRef]
  52. Dunstan, D.; Dogra, S.; Carter, S.; Owen, N. Sit less and move more for cardiovascular health: Emerging insights and opportunities. Nature reviews. Cardiology 2021, 18, 637–648. [Google Scholar] [CrossRef]
  53. Telama, R.; Yang, X.; Hirvensalo, M.; Raitakari, O. Participation in organized youth sport as a predictor of adult physical activity: A 21-year longitudinal study. Pediatr. Exerc. Sci. 2006, 17, 76–88. [Google Scholar] [CrossRef]
  54. Guagliano, J.M.; Rosenkranz, R.R.; Kolt, G.S. Girls’ physical activity levels during organized sports in Australia. Med. Sci. Sports Exerc. 2013, 45, 116–122. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Differences in sitting time by sports participation among boys and girls during weekdays (□) and weekend days (Youth 04 00072 i001). Values are mean differences (positive values indicate higher sitting time in non-club sports participants) adjusted for age with 95% CI.
Figure 1. Differences in sitting time by sports participation among boys and girls during weekdays (□) and weekend days (Youth 04 00072 i001). Values are mean differences (positive values indicate higher sitting time in non-club sports participants) adjusted for age with 95% CI.
Youth 04 00072 g001
Table 1. Descriptive characteristics by sports participation for the total sample and separately for boys and girls. Values are mean ± SD.
Table 1. Descriptive characteristics by sports participation for the total sample and separately for boys and girls. Values are mean ± SD.
Total SampleGirls OnlyBoys Only
Club Sports
(N = 484)
No Club Sports
(N = 741)
Club Sports
(N = 217)
No Club Sports
(N = 393)
Club Sports
(N = 267)
No Club Sports
(N = 348)
Age (years) 1,2,312.9 ± 1.813.5 ± 1.913.0 ± 1.913.4 ± 1.912.9 ± 1.713.6 ± 1.9
Height (cm) 1,3159.6 ± 10.7162.5 ± 11.0158.0 ± 8.9159.4 ± 8.7160.8 ± 11.8166.1 ± 12.2
Body weight (kg) 1,352.0 ± 13.655.7 ± 13.850.3 ± 12.452.7 ± 11.853.4 ± 14.459.1 ± 15.0
BMI percentile59.4 ± 25.861.6 ± 27.755.1 ± 25.657.4 ± 28.163.0 ± 25.566.4 ± 26.5
1 sig. difference between club sports and no club sports in total sample (p < 0.01); 2 sig. difference between club sports and no club sports in girls (p < 0.01); 3 sig. difference between club sports and no club sports in boys (p < 0.01).
Table 2. Sedentary behavior by sports participation. Values are mean ± SD.
Table 2. Sedentary behavior by sports participation. Values are mean ± SD.
TOTAL SampleClub SportsNo Club SportsEffect Size (ηp2)
WeekdaySleep time (h) *7.8 ± 1.18.1 ± 1.17.7 ± 1.10.034
Sitting while eating (h/d)1.2 ± 0.61.2 ± 0.51.2 ± 0.60.001
Sitting in school (h/d)5.3 ± 0.45.3 ± 0.45.3 ± 0.4<0.001
Sitting for work at home (h/d)1.5 ± 0.91.6 ± 0.91.5 ± 0.8<0.001
Sitting for screen use (h/d) *2.7 ± 1.22.5 ± 1.12.8 ± 1.20.013
Recreational sitting (e.g., reading, listening to music) (h/d) *1.8 ± 1.11.7 ± 1.11.9 ± 1.20.005
Total sitting time (h/d) *12.7 ± 1.712.4 ± 1.712.9 ± 1.80.021
WeekendSleep time (h)9.9 ± 1.39.9 ± 1.29.9 ± 1.4<0.001
Sitting while eating (h/d) *1.7 ± 0.61.8 ± 0.71.7 ± 0.60.008
Sitting for work at home (h/d)1.2 ± 0.91.2 ± 0.81.2 ± 0.9<0.001
Sitting for screen use (h/d) *3.9 ± 1.63.7 ± 1.54.1 ± 1.60.016
Recreational sitting (e.g., reading, listening to music) (h/d) *3.1 ± 1.32.9 ± 1.33.2 ± 1.30.015
Total Sitting time (h/d) *9.9 ± 2.09.5 ± 1.910.2 ± 22.00.026
ηp2… partial eta squared; * Sig. difference between club sports and non-club sports (p ≤ 0.01).
Table 3. Sedentary behavior by sports participation, separately for girls and boys. Values are mean ± SD.
Table 3. Sedentary behavior by sports participation, separately for girls and boys. Values are mean ± SD.
GIRLS ONLY BOYS ONLY
Club SportsNo Club Sportsηp2Club SportsNo Club Sportsηp2
WeekdaySleep time (h) 1,2 8.1 ± 1.17.7 ± 1.10.0388.0 ± 1.27.6 ± 1.10.032
Sitting while eating (h/d)1.2 ± 0.51.2 ± 0.6<0.0011.2 ± 0.51.2 ± 0.60.001
Sitting in school (h/d)5.4 ± 0.45.3 ± 0.4<0.0015.3 ± 0.45.3 ± 0.4<0.001
Sitting for work at home (h/d)1.6 ± 0.91.6 ± 0.90.0011.6 ± 0.91.5 ± 0.80.003
Sitting for screen use (h/d) 1,22.4 ± 1.02.7 ± 1.20.0182.6 ± 1.12.8 ± 1.20.010
Recreational sitting (e.g., reading, listening to music) (h/d) 2 1.8 ± 1.01.8 ± 1.1<0.0011.6 ± 1.11.9 ± 1.20.014
Total sitting time (h/d) 1,212.4 ± 1.612.9 ± 1.80.02112.4 ± 1.712.9 ± 1.80.020
WeekendSleep time (h)9.9 ± 1.29.9 ± 1.3<0.0019.9 ± 1.29.9 ± 1.4<0.001
Sitting while eating (h/d) 11.8 ± 0.61.7 ± 0.70.0151.8 ± 0.71.7 ± 0.60.004
Sitting for work at home (h/d)1.2 ± 0.81.2 ± 1.0<0.0011.2 ± 0.81.1 ± 0.80.001
Sitting for screen use (h/d) 13.5 ± 1.54.1 ± 1.60.0393.9 ± 1.54.1 ± 1.60.004
Recreational sitting (e.g., reading, listening to music) (h/d) 23.0 ± 1.43.2 ± 1.30.0062.8 ± 1.33.2 ± 1.40.025
Total Sitting time (h/d) 1,29.5 ± 1.910.3 ± 2.00.0349.6 ± 1.910.1 ± 1.90.019
1 sig. difference between club sports and no club sports in girls (p ≤ 0.01); 2 sig. difference between club sports and no club sports in boys (p ≤ 0.01).
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Greier, K.; Drenowatz, C.; Ruedl, G.; Ostermann, E.; Haas, E.; Greier, C. Differences in Sitting Time by Club Sports Participation among Austrian Youth. Youth 2024, 4, 1158-1167. https://doi.org/10.3390/youth4030072

AMA Style

Greier K, Drenowatz C, Ruedl G, Ostermann E, Haas E, Greier C. Differences in Sitting Time by Club Sports Participation among Austrian Youth. Youth. 2024; 4(3):1158-1167. https://doi.org/10.3390/youth4030072

Chicago/Turabian Style

Greier, Klaus, Clemens Drenowatz, Gerhard Ruedl, Elisabeth Ostermann, Elisabeth Haas, and Carla Greier. 2024. "Differences in Sitting Time by Club Sports Participation among Austrian Youth" Youth 4, no. 3: 1158-1167. https://doi.org/10.3390/youth4030072

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