Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Next Article in Journal
Diagnostics and Management of Pediatric Headache: An Exploratory Study among Dutch Physical Therapists
Previous Article in Journal
Fetal Congenital Complete Heart Block: A Rare Case with an Extremely Low Ventricular Rate and Review of Current Management Strategies
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

How Czech Adolescents Perceive Their Physical Activity

1
Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic
2
Department of Physical Education and Sport, Faculty of Science, Humanities and Education, Technical University of Liberec, 461 17 Liberec, Czech Republic
3
Department of Social Sciences in Kinanthropology, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic
*
Author to whom correspondence should be addressed.
Children 2023, 10(7), 1134; https://doi.org/10.3390/children10071134
Submission received: 3 June 2023 / Revised: 19 June 2023 / Accepted: 27 June 2023 / Published: 29 June 2023
(This article belongs to the Section Pediatric Orthopedics & Sports Medicine)

Abstract

:
Adolescence is a critical stage in the development of an individual’s physical activity (PA) habits and preferences. Adolescents’ perceptions of PA can influence their motivation to engage in PA and, consequently, their overall level of PA. Thus, our primary aim was to investigate whether Czech adolescents misperceive their peers’ PA. Our dataset comprised cross-sectional data on 1289 adolescents aged 11–15 years. PA was measured using self-reported items used in the HBSC study. To describe the gender and school grade differences in VPA, independent samples T, ANOVA, Mann–Whitney U, and Kruskal–Wallis H tests were performed. To analyze the effect of gender, school grade, school, and participants’ own PA on the underestimation of PA, binomial regression models were used. Our study points out that there is a discrepancy between self-perceived levels of PA and the perceived descriptive norms of peers’ PA. Adolescents underestimate the prevalence of sufficient PA, and thus perceived descriptive norms in PA as being worse than levels of own PA. These findings indicate room for targeted interventions based on social-norms-based approaches to increase the PA of adolescents or at least strengthen their actual positive behavior.

1. Introduction

Engaging in sufficient physical activity (PA) can have significant benefits for the overall health of children and adolescents. This includes improvements in their physical well-being, as well as positive impacts on their mental and social–emotional health [1]. Despite this, studies indicate that adolescents are failing to meet the recommended levels of PA [2]. As with adolescents in other countries, Czech adolescents are facing the same issue, as a significant proportion of them do not meet public health guidelines for recommended levels of PA [3].
The conduct of individuals regarding their health is significantly impacted by social norms. Social norms refer to the shared standards, expectations, and rules of behavior that are considered acceptable and appropriate within a particular social group or society. These norms guide and regulate individual as well as group behavior, defining what is considered normal, acceptable, and desirable in terms of actions, attitudes, values, and beliefs. Thus, perceiving what is “normal” influences individuals’ behavior. Such influence ranges from reinforcing favorable behaviors that can safeguard and improve one’s well-being to promoting unfavorable actions that elevate the possibility of detrimental health outcomes [4].
The development of a theoretical basis for the investigation of social norms is grounded in the evolution of several frameworks. Initially, social norms were defined and explored within larger theories, such as the theory of reasoned action and the theory of planned behavior [5]. The focus theory of normative conduct evolved from the theory of planned behavior [6], focusing exclusively on social norms.
The theory of normative conduct framework delineates norms into two distinct categories: injunctive and descriptive [7]. Injunctive norms involve an evaluative component, whereas descriptive norms do not. Descriptive norms refer to individuals’ perceptions of common behaviors within their social context. When faced with unfamiliar situations, people may rely on descriptive norms as a shortcut for understanding socially appropriate behavior. By observing the actions of others around them, and if widespread participation indicates social acceptability, individuals may adopt similar conduct themselves.
As the study of social norms advanced, researchers began to consider referent groups for injunctive and descriptive norms in terms of proximity: either proximal or distal. Proximal refers to an individual’s close friend circle (for example, a few friends that they spend most of their time with). On the other hand, distal pertains to a larger population, such as students at one’s university [8,9].
As the research on social norms has progressed, correlational studies have provided compelling evidence that descriptive norms have a positive association with both intention and behavior. The effectiveness of norms as a means of influencing behavior has been demonstrated across a wide range of behaviors, such as promoting healthier eating habits, encouraging energy conservation, and reducing binge drinking [10,11]. Studies investigating the connection between social norms and PA are limited [12]. Even though research on social norms has not placed much emphasis on PA, certain studies demonstrate a correlation between the two [4,13,14,15,16,17]. Previous difficulty in linking subjective norms to PA intentions might be due to deficient methods of measuring and analyzing subjective norms [12].
Gender differences in PA among adolescent boys and girls are multifaceted and intertwined with societal norms, gender roles, and self-presentation [18]. During the transition from childhood to adolescence, peer influence increases and plays a crucial role in engagement in PA [19]. This influence can comprise social support, the presence of peers during PA, peer norms, friendship quality, changes to friendship groups, preferences for certain activities among peers, and affiliation with peer groups [20]. Additionally, potential experiences of peer victimization may further limit girls’ participation in PA [21]. Despite being a central factor affecting girls’ PA involvement, the influence of peers has often been overlooked by many interventions aimed at promoting PA [18].
Previous studies have shown that people tend to overestimate the prevalence of negative behaviors and attitudes among their peers while underestimating positive ones. This misperception can lead to negative behaviors, such as excessive alcohol consumption, and a decrease in positive behaviors, such as healthy eating, using sun protection, and being physically active [11,22]. The social norms approach is commonly used to encourage positive health behaviors by addressing individuals’ misperceptions of their peers’ attitudes and actions [23]. In addition, the findings of Vorlíček et al. [24] on a sample of Czech adolescents indicate that there might be room for targeted interventions based on the social norms approach to increase the PA of adolescents or at least strengthen their actual positive behavior.
Gaining insights into how adolescents perceive their PA is essential for the development of effective interventions and strategies aimed at promoting a more active lifestyle. Understanding the disparity between individuals’ self-perceived levels of PA and their perceptions of social norms is particularly important when applying the social norms approach. Previous research has devoted relatively limited attention to this specific area, underscoring the significance of our study as a valuable addition to the existing literature. By addressing this research gap, our study provides novel insights and contributes to a more comprehensive understanding of the subject matter. Therefore, our main objective was to examine whether Czech adolescents have misconceptions regarding their peers’ physical activity behaviors. Additionally, we aimed to explore the relationships between their self-perceived physical activity, descriptive social norms of physical activity, and whether these associations varied based on gender and grade level.

2. Materials and Methods

2.1. Procedure Sample and Participant Selection

Our cross-sectional study involved 1289 adolescents from the Czech Republic. The participants were aged between 11 and 15 years, with a mean age of 13.49 years and a standard deviation of 1.16 years. Out of the total participants, 46% were boys. The study included 12 randomly selected schools, which comprised students from grades 6 to 9. Schools specializing in sports and schools for students with special educational needs were not included in the study. Within each school we randomly selected one class per grade. It was assumed that the classes within each school were approximately equal in size. This sampling approach aimed to create a self-weighted sample, wherein each student had an approximately equal chance of being selected for participation.
Participation in the study was voluntary, meaning that the adolescents could choose whether or not to participate. No incentives were provided to encourage participation, and the data collection process did not involve any form of compensation or reward. Additionally, the study reported that less than five percent of the adolescents opted out of participating, indicating a relatively high rate of participation among the targeted population.

2.2. Assessments and Measures

For the purposes of this study, we used questions on MVPA and VPA from the HBSC study [25]. According to a current systematic review [26], PA measures of the HBSC questionnaire are moderately reliable (ICC 0.41–0.6). When assessing validity, the HBSC PA measures show fair to moderate performance (r 0.21–0.6).

2.3. Procedure

The data were collected from 2017 to 2018 in regular school weeks during the spring and autumn seasons. The pupils filled in an electronic questionnaire at school during class under the supervision of teachers and researchers.

2.4. Data Processing

To describe the gender and school grade differences, an independent samples T test and ANOVA were performed for MVPA; a Mann–Whitney U test and Kruskal–Wallis H test were performed for VPA. To analyze the effect of gender, school grade, school, and participants’ own PA on the underestimation of PA, binomial regression models were used. The sample was dichotomized into two groups: underestimated PA (1) vs. rest of the sample (0). In four steps we entered sex, grade, school, and own PA. Statistical data processing was performed using IBM SPSS Statistics software, version 23 (IBM, Armonk, NY, USA).

3. Results

3.1. MVPA

According to results showed in Table 1, 18% of Czech adolescents reported more than 60 min of MVPA daily. Significantly more boys than girls (20.6% vs. 15.8%) had 60 min of daily MVPA (χ2 = 22.21; p = 0.002). Levels of MVPA gradually and significantly decreased from 6th grade to 9th grade (χ2 = 50.927; p < 0.001). While in 6th grade 23.9% of adolescents had more than 60 min of daily MVPA, in 7th grade it was 21.9%, in 8th grade it was 16.8%, and in 9th grade it was only 8.4%.
Regarding perceived descriptive norms in MVPA, only 3.9% of adolescents believed that their peers have at least 60 min of daily MVPA (Table 2). Boys perceived their peers as having more MVPA compared to girls (χ2 = 27.435; p = 0.001). We did not observe significant differences across grades (χ2 = 31.954; p = 0.059).
When comparing self-perceived MVPA and perceived descriptive norms in MVPA (i.e., adolescents’ own behavior vs. the behavior of their peers), we found clear misperception (Figure 1). Adolescents perceive the level of MVPA of their peers as much lower. While the majority of adolescents (57.7%) have reported 60 min of MVPA at least 4 times a week, only 35.9% believe that their peers have 60 min of MVPA at least 4 times a week. The pattern of misperception is present both for boys and girls and across all grades (Table 2 and Table 3).
In order to identify which adolescents misperceive MVPA, we performed a binominal logistic regression. The sample was dichotomized into two groups: underestimated MVPA (1) vs. the rest of the sample (0). In four steps we entered sex, grade, school, and own MVPA.
According to the results, girls and older students tend to underestimate the prevalence of MVPA significantly more among their peers. School had no effect on the perception of MVPA. After entering the self-perceived MVPA into the model, almost all of the variance is explained and most of the gradient disappeared (Table 4). Adolescents who have 0 days of MVPA weekly underestimate the MVPA of their peers significantly more compared to their peers who have 60 min daily of MVPA (OR 1.525). The more passive adolescents are, the more they tend to perceive passive behavior as the norm and vice versa, the more active adolescents tend to perceive more active behavior as the norm.

3.2. VPA

According to the results shown in Table 5, 29.8% of Czech adolescents reported VPA at least 4 times a week. Significantly more boys than girls had VPA at least 4 times a week (U = 186,135; p = 0.003). Levels of VPA gradually and significantly decreased from 6th grade to 9th grade (H = 27.929; p < 0.001). While in 6th grade 13% of adolescents had daily VPA, in 7th grade it was 10%, in 8th grade it was 8%, and in 9th grade it was only 4%.
Regarding perceived descriptive norms in VPA, only 10% of adolescents believed that their peers engaged in VPA everyday (Table 6). Boys perceived their peers as having more VPA compared to girls (U = 192,695; p = 0.048). Levels of VPA gradually and significantly decreased from 6th grade to 9th grade (H = 22.478; p < 0.001).
When comparing self-perceived VPA and perceived descriptive norms in VPA (i.e., adolescents’ own behavior vs. the behavior of their peers) we found clear misperception. (Figure 2). While almost 30% of adolescents have reported VPA at least four times a week, only 10% believe that their peers have engaged in VPA at least four times a week. This misperception is present for both boys and girls and across all grades (Table 5 and Table 6).
In order to identify which adolescents misperceive VPA, we performed a binominal logistic regression. The sample was dichotomized into two groups: those that underestimated VPA (1) vs. the rest of the sample (0). In four steps we entered sex, grade, school, and own VPA.
In general, the results were very similar to what we reported for MVPA above, although less expressive. Girls and older students tend to underestimate the prevalence of VPA among their peers to a significantly greater degree. School had no effect on perceptions of VPA. After entering the self-perceived VPA into the model, almost all of the variance is explained and most of the gradient disappeared (Table 7). Adolescents who had no VPA during the last month underestimated the VPA of their peers more than nine times compared to their peers who had daily VPA (OR 3.134). The more VPA adolescents have, the more they tend to perceive more VPA as the norm and vice versa, the less active adolescents tend to perceive less active behavior as the norm.

4. Discussion

Our primary aim was to investigate whether Czech adolescents misperceive their peers’ PA behaviors. Furthermore, we aimed to investigate the associations between their self-perceived PA and descriptive social norms PA, and whether these associations differed with gender and class grade. Thus, we were able to evaluate the suitability of utilizing the social norms approach as an intervention strategy for promoting sufficient PA among adolescents.
Our research highlights a disparity between individuals’ perceptions of their own PA levels and their perceptions of their peers’ PA levels. Adolescents tend to underestimate the prevalence of adequate PA among their peers, resulting in perceived descriptive norms that indicate lower levels of PA compared to their own. Girls and older students demonstrate a notable tendency to underestimate the prevalence of PA among their peers. Interestingly, the school environment does not appear to have an impact on perceptions of PA. When individuals’ own self-perceived levels of PA are taken into account, it becomes evident that they explain a significant portion of the variability in misperceptions related to gender and school grade. Self-perceived PA tends to account for nearly all of the differences observed among genders and school grades in terms of misperceptions.
Our study also underscores a notable disparity between individuals’ self-perceived levels of MVPA and VPA and their perceptions of their peers’ physical activity norms. Despite the majority of adolescents (57.7%) reporting their engagement in at least four 60 min sessions of MVPA per week, a significantly lower percentage (35.9%) perceive their peers as achieving the same activity level. Importantly, this pattern of misperceptions extends to VPA as well, affecting both boys and girls across all grades. These findings have significant implications for the utilization of social norms in intervention strategies aimed at promoting sufficient PA among adolescents. Perkins [27] has identified two pre-conditions that must be met before implementing the social norms approach properly. The first condition necessitates a discrepancy between perceived and actual behaviors, which indicates a problem of the overestimation of conduct. The second condition demands that at least half of the population behaves responsibly; given that individuals strive to conform to societal norms, employing a social norms message campaign may inadvertently encourage harmful conduct if most people engage in it. Hence, if more than 50% violate desirable behaviors targeted by the intervention program, recognizing the limitations of the social norms approach would prove critical in decision making regarding its implementation potential [11,22,28].
In line with numerous studies before [29,30], our findings confirmed that girls report lower levels of PA. In addition, according to our findings girls tend to underestimate the prevalence of VPA among their peers to a significantly greater extent. In their comprehensive review of existing systematic reviews, Duffey et al. [31] examine the barriers and facilitators of PA specifically in adolescent girls. Their findings indicate that the most commonly reported barriers to PA among adolescent girls were the absence of support from peers, family, and teachers, closely followed by time constraints. On the other hand, the most frequently identified facilitators of PA were weight loss/management goals and the support provided by peers, family, and teachers. It is worth noting that the majority of factors influencing PA engagement among girls primarily originated from the individual and interpersonal levels. Our results confirm their findings and indicate that social norms are an important component in facilitating PA among adolescent girls.
We confirmed a clear relationship between descriptive norms and PA. According to our findings, the more passive that adolescents are, the more they tend to perceive the norm of this behavior as being less frequent. In previous literature, there is general support for the notion that social norms can influence individual decisions to be physically active [4]. Several studies have explored the correlation between descriptive social norms and PA, concluding that the perceived behavior of one’s peers strongly influenced their likelihood to engage in PA [32,33]. Ball et al. [32] also concluded that descriptive norms had an impact separate from social support and proposed adjusting social norms in interventions aimed at encouraging higher levels of PA.
We found that grade had an effect on misperceptions of MVPA and VPA. On the contrary, school had no effect. If we may define a school grade as a more proximal and school as a more distal norm, our findings would be in line with previous research, which indicates that norms closer to an individual have a greater impact on their behavior than those further away. For example, studies by Yun and Silk [9] showed that proximal descriptive and injunctive norms had more predictive power in promoting healthy food choices compared to distal norms. Likewise, Korcuska and Thombs [34] found that college students’ alcohol use was more influenced by the perceived normative behaviors of close friends than those of the typical student.
In general, we found that, unfortunately, a very low number of adolescents fulfilled the recommendations for sufficient physical activity, both MVPA and VPA. We also confirmed that boys are more active than girls and that PA levels gradually decrease with older age. These findings are fully in line with other Czech [3,35,36] studies, but also with wider regional [37,38] and global situations [39]. Despite the significant health benefits associated with regular PA, research has indicated that numerous adolescents fail to meet PA recommendations [29,30]. Such non-compliance could be attributed to several underlying factors, such as technological advancements, changes in modern diets, and reduced outdoor play, among others [31].
The study has a number of strengths and limitations that must be considered. A limitation worth noting is that the results rely on self-reported data, which may produce reporting biases or various alternative explanations (such as social pressure to respond in particular ways). Our participants reported their own PA levels along with those of their peers. Additionally, due to our cross-sectional approach, we cannot conclude any causal relationship between actual PA levels and perceived norms among adolescents. Another limitation could be that we focused on solely descriptive norms. It was revealed that modifying descriptive norms alone may not be sufficient for changing behavior [40]. The direct impact of descriptive norms on actions is considered unlikely, as there are likely moderators or mediators involved between these norms and conduct. In this context, injunctive norms, outcome expectations, and group identity have been identified as key normative mechanisms [41], while peer communication and issue familiarity have also received some attention in related research studies [11,42].
Nevertheless, this study emphasizes the importance of examining adolescents’ physical activities within the context of their perceptions of social norms related to physical activity. This specific area has received relatively less attention in previous research, making this study a valuable contribution to the existing literature. To the best of our knowledge, no study investigating this specific topic has been conducted in the Czech Republic or Central Europe. Thus, our study fills an important research gap by being the first of its kind in this region, providing valuable insights into the perceptions of adolescents’ physical activities and their relationship with social conventions. By exploring this unexplored territory, our research expands the existing knowledge base and contributes to a more comprehensive understanding of the factors influencing adolescents’ physical activity behaviors in the Czech Republic and Central Europe.

5. Conclusions

Our study points out that there is a discrepancy between the self-perceived levels of own MVPA and VPA and the perceived descriptive norms of peers’ MVPA and VPA. Adolescents underestimate the prevalence of sufficient MVPA and VPA, and thus perceived descriptive norms in MVPA and VPA are worse than levels of own MVPA and VPA. These findings indicate room for targeted interventions based on the social-norms-based approaches to increase the physical activity of adolescents or at least strengthen their actual positive behaviors.

Author Contributions

F.S. conceptualized and designed the study, conducted the data collection, and drafted the manuscript. M.V. assisted with the statistical analysis and writing of the manuscript. L.R. and J.V. assisted with the data collection and writing of the manuscript. J.M. assisted with the study design, data collection, and writing of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This paper was supported by research grants of the Czech Science Foundation (No. 17-24378S), “Social norms intervention in the prevention of excessive sitting and promotion of physical activity among Czech adolescents”, and the Technology Agency of the Czech Republic (No. TL02000033), “Primary prevention of sedentary behavior and promotion of school-based physical activity based on social norms and a social marketing approach and using elements of e-health/m-health systems”.

Institutional Review Board Statement

The Ethics Committee of the Faculty of Physical Culture at Palacký University Olomouc approved the study on 9 May 2017, with reference number 38/17. The Committee adheres to the ethical standards outlined in the World Medical Association Declaration of Helsinki and its subsequent amendments.

Informed Consent Statement

The parents of all participants were informed about the research beforehand and gave their permission through signed informed consent.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to their containing information that could compromise the privacy of research participants.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. van Sluijs, E.M.F.; Ekelund, U.; Crochemore-Silva, I.; Guthold, R.; Ha, A.; Lubans, D.; Oyeyemi, A.L.; Ding, D.; Katzmarzyk, P.T. Physical Activity Behaviours in Adolescence: Current Evidence and Opportunities for Intervention. Lancet 2021, 398, 429–442. [Google Scholar] [CrossRef] [PubMed]
  2. 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]
  3. Gába, A.; Baďura, P.; Vorlíček, M.; Dygrýn, J.; Hamřík, Z.; Kudláček, M.; Rubín, L.; Sigmund, E.; Sigmundová, D.; Vašíčková, J. The Czech Republic’s 2022 Report Card on Physical Activity for Children and Youth: A Rationale and Comprehensive Analysis. J. Exerc. Sci. Fit. 2022, 20, 340–348. [Google Scholar] [CrossRef] [PubMed]
  4. Randazzo, K.D.; Solmon, M. Exploring Social Norms as a Framework to Understand Decisions to Be Physically Active. Quest 2017, 70, 64–80. [Google Scholar] [CrossRef]
  5. Ajzen, I. The Theory of Planned Behavior. Organ. Behav. Hum. Decis. Process. 1991, 50, 179–211. [Google Scholar] [CrossRef]
  6. Schultz, P.W.; Nolan, J.M.; Cialdini, R.B.; Goldstein, N.J.; Griskevicius, V. The Constructive, Destructive, and Reconstructive Power of Social Norms. Psychol. Sci. 2007, 18, 429–434. [Google Scholar] [CrossRef] [Green Version]
  7. Cialdini, R.B.; Reno, R.R.; Kallgren, C.A. A Focus Theory of Normative Conduct: Recycling the Concept of Norms to Reduce Littering in Public Places. J. Pers. Soc. Psychol. 1990, 58, 1015–1026. [Google Scholar] [CrossRef]
  8. Cho, H. Influences of Norm Proximity and Norm Types on Binge and Non-Binge Drinkers: Examining the under-Examined Aspects of Social Norms Interventions on College Campuses. J. Subst. Use 2006, 11, 417–429. [Google Scholar] [CrossRef]
  9. Yun, D.; Silk, K.J. Social Norms, Self-Identity, and Attention to Social Comparison Information in the Context of Exercise and Healthy Diet Behavior. Health Commun. 2011, 26, 275–285. [Google Scholar] [CrossRef]
  10. Helmer, S.M.; Pischke, C.R.; Van Hal, G.; Vriesacker, B.; Dempsey, R.C.; Akvardar, Y.; Guillen-Grima, F.; Salonna, F.; Stock, C.; Zeeb, H. Personal and Perceived Peer Use and Attitudes towards the Use of Nonmedical Prescription Stimulants to Improve Academic Performance among University Students in Seven European Countries. Drug Alcohol Depend. 2016, 168, 128–134. [Google Scholar] [CrossRef]
  11. Dempsey, R.C.; McAlaney, J.; Bewick, B.M. A Critical Appraisal of the Social Norms Approach as an Interventional Strategy for Health-Related Behavior and Attitude Change. Front. Psychol. 2018, 9, 2180. [Google Scholar] [CrossRef] [Green Version]
  12. Kim, J.; Eys, M.; Robertson-Wilson, J.; Dunn, E.; Rellinger, K. Subjective Norms Matter for Physical Activity Intentions More than Previously Thought: Reconsidering Measurement and Analytical Approaches. Psychol. Sport Exerc. 2019, 43, 359–367. [Google Scholar] [CrossRef]
  13. Draper, C.E.; Grobler, L.; Micklesfield, L.K.; Norris, S.A. Impact of Social Norms and Social Support on Diet, Physical Activity and Sedentary Behaviour of Adolescents: A Scoping Review. Child Care Health Dev. 2015, 41, 654–667. [Google Scholar] [CrossRef]
  14. Bucksch, J.; Kopcakova, J.; Inchley, J.; Troped, P.J.; Sudeck, G.; Sigmundova, D.; Nalecz, H.; Borraccino, A.; Salonna, F.; Dankulincova Veselska, Z.; et al. Associations between Perceived Social and Physical Environmental Variables and Physical Activity and Screen Time among Adolescents in Four European Countries. Int. J. Public Health 2019, 64, 83–94. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Lu, F.J.H.; Lin, J.H.; Hsu, Y.W.; Chou, C.C.; Wang, E.T.W.; Yeh, L.C. Adolescents’ Physical Activities and Peer Norms: The Mediating Role of Self-Efficacy. Percept. Mot. Ski. 2014, 118, 362–374. [Google Scholar] [CrossRef] [PubMed]
  16. Wally, C.M.; Cameron, L.D. A Randomized-Controlled Trial of Social Norm Interventions to Increase Physical Activity. Ann. Behav. Med. 2017, 51, 642–651. [Google Scholar] [CrossRef] [PubMed]
  17. Stevens, M.; Fitzpatrick, Á.; Cruwys, T. The Effect of Descriptive Norms and Social Identification on Performance and Exertion during a Physical Fitness Task. Scand. J. Med. Sci. Sports 2022, 32, 313–323. [Google Scholar] [CrossRef]
  18. Spencer, R.A.; Rehman, L.; Kirk, S.F.L. Understanding Gender Norms, Nutrition, and Physical Activity in Adolescent Girls: A Scoping Review. Int. J. Behav. Nutr. Phys. Act. 2015, 12, 6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Brooks, F.; Magnusson, J. Physical Activity as Leisure: The Meaning of Physical Activity for the Health and Well-Being of Adolescent Women. Health Care Women Int. 2007, 28, 69–87. [Google Scholar] [CrossRef] [Green Version]
  20. Flintoff, A.; Scraton, S. Stepping into Active Leisure? Young Women’s Perceptions of Active Lifestyles and Their Experiences of School Physical Education. Sport Educ. Soc. 2001, 6, 5–21. [Google Scholar] [CrossRef]
  21. Cockburn, C.; Clarke, G. “Everybody’s Looking at You!”: Girls Negotiating the “Femininity Deficit” They Incur in Physical Education. Women’s Stud. Int. Forum 2002, 25, 651–665. [Google Scholar] [CrossRef]
  22. Miller, D.T.; Prentice, D.A. Changing Norms to Change Behavior. Annu. Rev. Psychol. 2016, 67, 339–361. [Google Scholar] [CrossRef]
  23. Helmer, S.M.; Muellmann, S.; Zeeb, H.; Pischke, C.R. Development and Evaluation of the Efficacy of a Web-Based ‘Social Norms’-Intervention for the Prevention and Reduction of Substance Use in a Cluster-Controlled Trial Conducted at Eight German Universities. BMC Public Health 2016, 16, 252. [Google Scholar] [CrossRef] [Green Version]
  24. Vorlíček, M.; Baďura, P.; Mitáš, J.; Kolarčik, P.; Rubín, L.; Vašíčková, J.; Salonna, F. How Czech Adolescents Perceive Active Commuting to School: A Cross-Sectional Study. Int. J. Environ. Res. Public Health 2020, 17, 5562. [Google Scholar] [CrossRef]
  25. Moor, I.; Winter, K.; Bilz, L.; Bucksch, J.; Finne, E.; John, N.; Kolip, P.; Paulsen, L.; Ravens-Sieberer, U.; Schlattmann, M.; et al. The 2017/18 Health Behaviour in School-Aged Children (HBSC) Study—Methodology of the World Health Organization’s Child and Adolescent Health Study. J. Health Monit. 2020, 5, 88. [Google Scholar] [CrossRef]
  26. Su, Y.; Zhang, Y.; Chen, S.T.; Hong, J.T.; Wang, H. Is the Health Behavior in School-Aged Survey Questionnaire Reliable and Valid in Assessing Physical Activity and Sedentary Behavior in Young Populations? A Systematic Review. Front. Public Health 2022, 10, 729641. [Google Scholar] [CrossRef]
  27. Perkins, H.W. The Social Norms Approach to Preventing School and College Age Substance Abuse: A Handbook for Educators, Counselors, and Clinicians; John Wiley & Sons: Hoboken, NJ, USA, 2003; p. 320. [Google Scholar]
  28. Cislaghi, B.; Heise, L. Theory and Practice of Social Norms Interventions: Eight Common Pitfalls. Glob. Health 2018, 14, 83. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Inchley, J.; Currie, D.; Budisavljevic, S.; Torsheim, T.; Jåstad, A.; Cosma, A.; Kelly, C.; Már Arnarsson, Á.; Samdal, O. Spotlight on Adolescent Health and Well-Being Survey in Europe and Canada International Report VOLUME 2. KEY DATA. Health Behav. Sch. Aged Child. 2018, 2, 144. [Google Scholar]
  30. Aubert, S.; Barnes, J.D.; Demchenko, I.; Hawthorne, M.; Abdeta, C.; Nader, P.A.; Sala, J.C.A.; Aguilar-Farias, N.; Aznar, S.; Bakalár, P.; et al. Global Matrix 4.0 Physical Activity Report Card Grades for Children and Adolescents: Results and Analyses From 57 Countries. J. Phys. Act. Health 2022, 19, 700–728. [Google Scholar] [CrossRef]
  31. 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]
  32. Ball, K.; Jeffery, R.W.; Abbott, G.; McNaughton, S.A.; Crawford, D. Is Healthy Behavior Contagious: Associations of Social Norms with Physical Activity and Healthy Eating. Int. J. Behav. Nutr. Phys. Act. 2010, 7, 86. [Google Scholar] [CrossRef] [Green Version]
  33. Priebe, C.S.; Spink, K.S. Less Sitting and More Moving in the Office: Using Descriptive Norm Messages to Decrease Sedentary Behavior and Increase Light Physical Activity at Work. Psychol. Sport Exerc. 2015, 19, 76–84. [Google Scholar] [CrossRef]
  34. Korcuska, J.S.; Thombs, D.L. Gender Role Conflict and Sex-Specific Drinking Norms: Relationships to Alcohol Use in Undergraduate Women and Men. J. Coll. Stud. Dev. 2003, 44, 204–216. [Google Scholar] [CrossRef]
  35. Gába, A.; Mitáš, J.; Jakubec, L. Associations between Accelerometermeasured Physical Activity and Body Fatness in School-Aged Children. Environ. Health Prev. Med. 2017, 22, 43. [Google Scholar] [CrossRef] [PubMed]
  36. Frömel, K.; Groffik, D.; Chmelík, F.; Cocca, A.; Skalik, K. Physical Activity of 15–17 Years Old Adolescents in Different Educational Settings: A Polish-Czech Study. Cent. Eur. J. Public Health 2018, 26, 137–143. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Brindova, D.; Veselska, Z.D.; Klein, D.; Hamrik, Z.; Sigmundova, D.; van Dijk, J.P.; Reijneveld, S.A.; Geckova, A.M. Is the Association between Screen-Based Behaviour and Health Complaints among Adolescents Moderated by Physical Activity? Int. J. Public Health 2015, 60, 139–145. [Google Scholar] [CrossRef]
  38. Ács, P.; Bergier, J.; Salonna, F.; Junger, J.; Melczer, C.; Makai, A. Gender Differences in Physical Activity among Secondary School Students in the Visegrad Countries (V4). Health Probl. Civiliz. 2016, 3, 21–29. [Google Scholar] [CrossRef]
  39. Owen, K.B.; Foley, B.C.; Wilhite, K.; Booker, B.; Lonsdale, C.; Reece, L.J. Sport Participation and Academic Performance in Children and Adolescents: A Systematic Review and Meta-Analysis. Med. Sci. Sports Exerc. 2022, 54, 299–306. [Google Scholar] [CrossRef]
  40. Rimal, R.N. Modeling the Relationship between Descriptive Norms and Behaviors: A Test and Extension of the Theory of Normative Social Behavior (TNSB). Health Commun. 2008, 23, 103–116. [Google Scholar] [CrossRef]
  41. Real, K.; Rimal, R.N. Friends Talk to Friends about Drinking: Exploring the Role of Peer Communication in the Theory of Normative Social Behavior. Health Commun. 2007, 22, 169–180. [Google Scholar] [CrossRef]
  42. Rimal, R.N.; Mollen, S. The Role of Issue Familiarity and Social Norms: Findings on New College Students’ Alcohol Use Intentions. J. Public Health Res. 2013, 2, 31–37. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Misperceprion of MVPA among Czech adolescents.
Figure 1. Misperceprion of MVPA among Czech adolescents.
Children 10 01134 g001
Figure 2. Misperception of VPA among Czech adolescents.
Figure 2. Misperception of VPA among Czech adolescents.
Children 10 01134 g002
Table 1. Specific questions and responses used as physical activity measures.
Table 1. Specific questions and responses used as physical activity measures.
Measured DomainQuestionsResponses
Moderate to vigorous physical activity over the past week (past week MVPA)Over the past 7 days, on how many days were you physically active for a total of at least 60 min per day?0 days; 1; 2; 3; 4; 5; 6; and 7 days
Descriptive social norm on past-week MVPAOver the past 7 days, on how many days do you think most of your classmates were physically active for a total of at least 60 min per day?0 days; 1; 2; 3; 4; 5; 6; and 7 days
Frequency of vigorous physical activity (VPA)Outside school hours: How often do you usually exercise in your free time so much that you get out of breath or sweat?Daily; 4–6 times a week; 2–3 times a week; Once a week; Once a month; Less than once a month; and Never
Descriptive social norm on VPAOutside school hours: how often do you think most of your classmates usually exercise in their free time so much that you get out of breath or sweat?None; About half an hour; About an hour; About 2–3 h; About 4–6 h; and 7 h or more
Table 2. Self-perceived MVPA among Czech adolescents according to gender and school class grade.
Table 2. Self-perceived MVPA among Czech adolescents according to gender and school class grade.
0 Days1 Day2 Days3 Days4 Days5 Days6 Days7 DaysTotalχ2
n%n%n%n%n%n%n%n%(p)
Total 453.5%937.2%17613.7%23117.9%21116.4%20415.8%977.5%23218.0%1289
Boys 274.6%305.1%7212.2%9716.4%9015.2%10517.7%498.3%12220.6%59222.21
Girls 182.6%639.0%10414.9%13419.2%12117.4%9914.2%486.9%11015.8%697(0.002)
Grade6th154.3%205.8%3510.1%5816.7%6318.2%4412.7%298.4%8323.9%347
7th72.3%258.0%4012.9%4614.8%4614.8%5919.0%206.4%6821.9%31150.927
8th92.7%206.0%5015.0%6218.6%5215.6%5817.4%267.8%5616.8%333(<0.001)
9th144.7%289.4%5117.1%6521.8%5016.8%4314.4%227.4%258.4%298
MVPA—moderate to vigorous physical activity.
Table 3. Perceived descriptive norms of MVPA among Czech adolescents according to gender and school class grade.
Table 3. Perceived descriptive norms of MVPA among Czech adolescents according to gender and school class grade.
0 Days1 Day2 Days3 Days4 Days5 Days6 Days7 Daysχ2
n%n%n%n%n%n%n%n%(p)
Total 272.1%816.3%29322.7%42533.0%23918.5%13710.6%372.9%503.9%
Boys 162.7%345.7%12621.3%17529.6%11319.1%7713.0%152.5%366.1%27.435
Girls 111.6%476.7%16724.0%25035.9%12618.1%608.6%223.2%142.0%(<0.001)
Grade6th51.4%257.2%7722.2%10831.1%6418.4%3811.0%164.6%144.0%
7th82.6%144.5%6520.9%9630.9%6420.6%4113.2%72.3%165.1%31.954
8th72.1%164.8%8425.2%10330.9%6218.6%3610.8%103.0%154.5%(0.059)
9th72.3%268.7%6722.5%11839.6%4916.4%227.4%41.3%51.7%
MVPA—moderate to vigorous physical activity.
Table 4. Underestimation of norms in moderate to vigorous physical activity (results of logistic regression).
Table 4. Underestimation of norms in moderate to vigorous physical activity (results of logistic regression).
OR (95% C.I.)p
Model 1GenderBoysRef.
Girls1.469 (1.169–1.846)0.001
Model 2GenderBoysRef.
Girls1.468 (1.166–1.847)0.001
Grade6thRef.0.002
7th0.876 (0.640–1.200)0.410
8th1.052 (0.770–1.437)0.752
9th1.670 (1.193–2.339)0.003
Model 3GenderBoysRef.
Girls1.474 (1.171–1.855)0.001
Grade6thRef.0.003
7th0.875 (0.639–1.199)0.407
8th1.043 (0.763–1.426)0.790
9th1.647 (1.174–2.309)0.004
School 0.984 (0.954–1.015)0.306
Model 4GenderBoysRef.0.022
Girls1.336 (1.043–1.710)
Grade6thRef.0.191
7th0.831 (0.592–1.168)0.287
8th0.932 (0.666–1.305)0.682
9th1.239 (0.862–1.782)0.247
School 0.994 (0.961–1.027)0.701
MVPA 1.525 (1.425–1.632)0.000
OR—odds ratio; MVPA—self-reported moderate to vigorous physical activity.
Table 5. Self-perceived VPA among Czech adolescents according to gender and school class grade.
Table 5. Self-perceived VPA among Czech adolescents according to gender and school class grade.
Every Day 4 to 6 Times a Week3 to 2 Times a WeekOnce a WeekOnce a MonthLess than Once a MonthNeverMean RankTest Value
(p)
n%n%n%n%n%n%n%
Total 1158.9%26920.9%47036.5%27421.3%574.4%534.1%483.7%
Boys 6410.8%13623.1%21836.9%9415.9%274.6%254.2%264.4%615.54186,135 1
(0.003)
Girls 517.3%13319.1%25236.2%18025.9%304.3%284.0%223.2%676.02
Grade6th4513.0%7421.4%13037.6%6117.6%51.4%185.2%133.8%693.9827.929 2
(<0.001)
7th309.7%8326.9%11035.6%5116.5%134.2%113.6%113.6%691.27
8th278.1%6118.3%12136.3%8625.8%164.8%103.0%123.6%617.43
9th134.4%5117.1%10936.6%7625.5%237.7%144.7%124.0%564.50
1 Mann–Whitney U; 2 Kruskal–Wallis H.
Table 6. Perceived descriptive norms in VPA among Czech adolescents according to gender and school class grade.
Table 6. Perceived descriptive norms in VPA among Czech adolescents according to gender and school class grade.
Every Day4 to 6 Times a Week3 to 2 Times a WeekOnce a WeekOnce a MonthLess than Once a MonthNeverMean RankTest Value
(p)
n%n%n%n%n%n%n%
Total 282.2%1038.0%57544.7%37028.8%977.5%806.2%332.6%
Boys 193.2%539.0%27145.9%14624.7%478.0%315.3%233.9%625.36192,695 1
(0.048)
Girls 91.3%507.2%30443.7%22432.2%507.2%497.0%101.4%664.90
Grade6th123.5%4212.1%14742.5%9828.3%195.5%216.1%72.0%691.3122.478 2
(<0.001)
7th92.9%309.7%15048.5%7624.6%185.8%185.8%82.6%683.36
8th51.5%175.1%15446.2%9729.1%319.3%236.9%61.8%617.70
9th20.7%144.7%12441.6%9933.2%299.7%186.0%124.0%575.49
1 Mann–Whitney U; 2 Kruskal–Wallis H.
Table 7. Underestimation of norms in vigorous physical activity (results of logistic regression).
Table 7. Underestimation of norms in vigorous physical activity (results of logistic regression).
OR (95% C.I.)p
Model 1GenderBoysRef.
Girls1.274 (1.021–1.589)0.032
Model 2GenderBoysRef.
Girls1.273 (1.020–1.590)0.033
Grade6thRef.0.003
7th0.88 (0.643–1.204)0.423
8th1.24 (0.915–1.68)0.165
9th1.562 (1.143–2.135)0.005
Model 3GenderBoysRef.
Girls1.274 (1.020–1.592)0.033
Grade6thRef.0.003
7th0.88 (0.643–1.204)0.423
8th1.238 (0.914–1.679)0.168
9th1.558 (1.138–2.132)0.006
SchoolSchool0.997 (0.968–1.027)0.850
Model 4GenderBoysRef.
Girls1.238 (0.981–1.563)0.073
Grade6thRef.0.056
7th0.885 (0.639–1.227)0.464
8th1.161 (0.846–1.593)0.357
9th1.387 (0.998–1.927)0.051
School 0.999 (0.968–1.03)0.941
VPA Every day Ref.0.000
4 to 6 times a week0.493 (0.312–0.781)0.003
3 to 2 times a week0.862 (0.568–1.309)0.487
Once a week1.45 (0.927–2.269)0.104
Once a month4.521 (2.148–9.518)0.000
Less than once a month2.941 (1.465–5.905)0.002
Never3.134 (1.513–6.489)0.002
VPA—vigorous physical activity.
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

Salonna, F.; Vorlíček, M.; Rubín, L.; Vašíčková, J.; Mitáš, J. How Czech Adolescents Perceive Their Physical Activity. Children 2023, 10, 1134. https://doi.org/10.3390/children10071134

AMA Style

Salonna F, Vorlíček M, Rubín L, Vašíčková J, Mitáš J. How Czech Adolescents Perceive Their Physical Activity. Children. 2023; 10(7):1134. https://doi.org/10.3390/children10071134

Chicago/Turabian Style

Salonna, Ferdinand, Michal Vorlíček, Lukáš Rubín, Jana Vašíčková, and Josef Mitáš. 2023. "How Czech Adolescents Perceive Their Physical Activity" Children 10, no. 7: 1134. https://doi.org/10.3390/children10071134

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop