Comprehensive analysis of college students' autonomous fitness behavior—a narrative review

Although the physical health of college students is increasingly receiving attention, their autonomous fitness behavior has not been thoroughly investigated. This narrative review conducted a comprehensive literature search through databases such as PubMed, PsycINFO, Web of Science, and the China National Knowledge Infrastructure (CNKI), reviewing studies published up to December 2023. We explored the constructs of autonomy, fitness behavior, and agency, and discussed their integration within the autonomous fitness model. Our findings indicate a lack of comprehensive studies exploring the multifaceted factors influencing autonomous fitness behaviors. Future research should strive to deepen conceptual understanding and further explore the complex dynamics of the transition from autonomy to persistence, employing technological and interdisciplinary methodological perspectives to enhance understanding and promote sustainable fitness habits.

1 Introduction

With the rise of global health consciousness, individual health, particularly the physical exercise and fitness of young people, has become a focal point of public health research (1–3). As the future backbone of society, the health status of college students has garnered extensive attention (4–6). Their health behaviors not only impact their current study and life but also have a profound influence on their future health (7–9). However, it appears that the issue of insufficient physical activity and declining physical health among college students has not yet been fully addressed (10, 11).

In recent years, with the advancement of technology and the widespread dissemination of health education (12–14), an increasing number of college students have begun to spontaneously engage in fitness activities, including working out alone, participating in group sports, and using fitness applications (5, 15, 16). From the perspective of agency, the stages of a person's fitness behavior can be divided into four phases: the transition from passive to active, then to autonomous, and finally to automatic (passive-active-autonomous-automatic) (17). Given the potential benefits of continuous physical activity participation in enhancing physical health, psychological well-being, and social skills (18), promoting sustained or regular physical exercise among college students is considered a focus for future research (10, 19). Autonomy, as a precursor to automation, appears to provide a causal mechanism for understanding the sustained or long-term participation in physical activities by college students. However, most literature reviews have concentrated on college students' physical activities, exercise behaviors, or physical health. There has been a lack of research focusing on the literature review of college students' autonomous fitness behaviors. Therefore, this narrative review will provide a clear outline for future research on college students' autonomous fitness behaviors based on existing literature, through conceptual clarification and review of research progress, point out potential research gaps, and offer theoretical guidance for practice.

2 Methods

A comprehensive literature search was conducted up to December 2023 using PubMed, PsycINFO, Web of Science, and the China National Knowledge Infrastructure (CNKI). Keywords such as “autonomous fitness behavior” were combined using Boolean operators to expand the search scope. This review included studies in both English and Chinese to capture diverse perspectives and developments in the field.

Studies were selected based on their focus on autonomous fitness behaviors in college students, particularly those discussing or utilizing Self-Determination Theory or related constructs. Given the exploratory nature of this narrative review, the selection of articles was primarily guided by their relevance to the central themes of autonomy and fitness behavior among college students. While this approach allowed for a broad exploration of the topic, it was not constrained by strict inclusion or exclusion criteria typically used in systematic reviews (20).

Relevant information was extracted from the selected studies, including study objectives, design, theoretical framework, sample characteristics, and key findings. This data was synthesized to provide an overview of the conceptual and empirical landscape of autonomous fitness behaviors among college students, highlighting key theoretical insights and research advancements.

3 Conceptual clarification of autonomous fitness behavior

The concept of autonomous fitness behavior was first proposed and summarized by Chinese scholar Fang Rui, based on the theory of positive development in adolescents, aiming to address the lack of autonomy in the fitness behavior of youths under the backdrop of Chinese collectivism (21). Fang (17) employed qualitative research methods such as interpretative phenomenological analysis interviews, open-ended questionnaires, and dual hermeneutics, integrating concepts from Self-Determination Theory (SDT) (22) and Intentionality Self-Regulation (SOC theory) (23). She concluded that autonomous fitness behavior in adolescents is a form of exercise that is self-determined by the individual (acting subject), supported by the autonomy of the behavioral environment, and involves intentional self-regulation (i.e., consciously selecting, optimizing, and compensating for behavioral goals and means (SOC strategies) (17). This research has provided a solid theoretical framework and practical integration experience for subsequent studies.

In her research (17), the autonomous fitness behavior emerged from identifying the issue of passive participation in adolescent physical exercises. She then utilized the principles and methods of Interpretative Phenomenological Analysis (IPA) and the “sensitizing concepts” of symbolic interactionism to address these issues. This led to the development of a conceptual model of autonomous fitness behavior for adolescents, incorporating an agency perspective and integrating intentional self-regulation SOC strategies (17). The entire scientific research process and thought pattern are also worthy of study and emulation by researchers.

Autonomous fitness behavior is considered to be a person's conscious, voluntary, proactive, and self-controlled fitness behavior (17). It is based on the theory of self-determination, demonstrating the self-esteem and self-regulation capabilities of the individual engaged in fitness (24). Sheng et al. (25) views autonomous fitness behavior in adolescents as a descriptive concept that has evolved from the general notion of physical exercise behavior. It encompasses not only external and internal stimuli such as social roles, institutions, culture, behavioral norms, social situations, as well as individuals' sensations, motivations, and attitudes but also focuses on the subjective domain of the behavioral subject (25, 26). This includes paying attention to the active role of consciousness in behavior and the understanding and use of behavioral strategies by individuals during the process of behavior. The following study will interpret autonomy, fitness behavior, and the agency perspective to better understand the sensitized concept of autonomous fitness behavior.

3.1 Autonomy

As a precursor step to automatization, autonomy offers us a perspective on how to promote the development of sustained physical activity and exercise habits among college students. It's a concept worthy of further analysis and summary. Primarily, autonomy is a core concept in autonomous fitness behavior. According to Self-Determination Theory, autonomy refers to the individual's ability to make free choices and act according to their own will, unrestricted by external forces (27). In other words, autonomy is about the degree to which a person feels they can control their own actions and decisions, embodying the will and sense of self-determination to choose and carry out actions that align with personal interests and values. Behavioral patterns of autonomy contribute to increasing an individual's interest and motivation, reinforcing belief (28, 29).

In autonomous fitness behaviors, Fang (24) adopted the concept of autonomy from Self-Determination Theory, including identified, integrated, and intrinsic aspects. That is to say, autonomous behavior is the pursuit of self-determined actions, a form of behavior driven by autonomous motivation, fueled by intrinsic motivation, and internalized motivations (identified and integrated motivations) (27). Specifically, identified motivation refers to an individual participating in an activity because they recognize its value and importance, even if it is not personally enjoyable; integrated motivation occurs when the activity is fully aligned with the individual's values and self-identity, becoming an integral part of their life and self-concept; intrinsic motivation is when the individual engages in the activity purely for the enjoyment and satisfaction derived from the activity itself, independent of external rewards (27). The sense of self-determination in autonomous fitness behavior is the pursuit of satisfying three basic psychological needs, serving as the intrinsic driving mechanism for engaging in autonomous fitness behaviors (24).

However, it is important to note that in constructing the conceptual model of autonomous fitness behavior, Fang (24) equates the concept of competence in Self-Determination Theory (SDT) (30) with Bandura's (31) self-efficacy, referring to an individual's belief that they can perform a particular action or behavior at a certain level, confident in their ability to be competent in that behavior. Perceived competence and self-efficacy are often interchangeably used (32); however, research indicates that there are conceptual and statistical differences between the two. Perceived competence is conceived within the theoretical framework of Self-Determination Theory, while self-efficacy is rooted in the framework of Social Cognitive Theory (32). Some studies suggest that perceived competence seems to capture a dimension of self-efficacy in the context of physical activity because it relates specifically to personal capability assessments, but lacks the dimension of choosing physical activity despite obstacles (33).

Additionally, Ryan and Deci (30) argued that autonomy support is fundamental for individuals to transform and integrate external values into their own, or in other words, autonomy support is a key variable in promoting the internalization of motivation. The motivational mechanism of autonomy also includes the perception of autonomy support from the environment. Fang (24) categorizes this into perceptions of institutional and facilities support, interpersonal support, atmospheric support, and situational support. This approach focuses more on the broad environmental and personal factors that either support or inhibit autonomous behavior, making her methodology more comprehensive yet less specific. In contrast, the multidimensional concept of autonomy support could be referenced to employ a structured, detailed method for optimizing the measurement and implementation of autonomy support in fitness environments (34). This might be more directly applicable to structured settings where specific interventions can be planned and measured.

Overall, in the autonomous fitness behavior of college students, autonomy is crucial as it is closely related to the sustainability, effectiveness, and overall well-being of an individual's fitness endeavor (35–37).

3.2 Fitness behavior

The term “fitness” is considered to have a broad semantic field. On one hand, it refers to physical exercises performed to obtain or maintain a good physical form and composition (i.e., the process); on the other hand, it refers to a state of good vigor and physical health (i.e., the result) (38). In many instances, fitness behavior and exercise behavior are used interchangeably, but in certain contexts, they have subtle differences. Fitness behavior generally refers to activities aimed at improving or maintaining an individual's overall health and physical condition. It includes not only physical activities but also, in a broader sense, diet, rest, reducing sedentary behavior, and other behaviors that maintain a healthy lifestyle (39). Exercise behavior, on the other hand, typically refers to organized, planned, and repetitive physical activities designed to improve or maintain one or more components of physical fitness (such as cardiorespiratory endurance, muscle strength, flexibility, etc.) (40, 41). Thus, exercise behavior can be understood as a narrower process within the broader concept of fitness behavior. Moreover, as fitness includes both health-related physical fitness and performance-related physical fitness, the goals of fitness behavior should be more comprehensive, encompassing overall health and well-being, while the goals of exercise behavior are usually more focused on enhancing specific physical abilities or achieving specific physical health targets (40).

In Fang's (17) study, fitness behavior is considered to involve various sports practice activities that individuals engage in to meet their needs for enhanced physical fitness, promotion of mental and physical health, and social adaptation. These activities include various sports learning behaviors, recreational sports behaviors, physical exercise behaviors, and sports competition behaviors. Specifically, as a type of physical fitness activity with certain intensity, fitness behavior is carried out for health, leisure, social interaction, and other purposes (26). It can be understood as an interpretation and expansion of the narrow definition of fitness behavior. Zhang and Huang (42) emphasize that in the Chinese context, sports fitness is regarded as primarily physical practice, focusing on developing people's hobbies and specialties in sports fitness through the selection and learning of fitness and sports activities. It's about acquiring scientific methods of fitness, cultivating a civilized and healthy lifestyle, and developing the adaptability to persist in sports fitness in various environments. This interpretation also emphasizes the attribute nature of the term fitness. At the same time, they highlight that although there are slight differences in concepts such as sports activities, physical exercises, and fitness activities, the connotations are largely similar (42). This suggests that in the context of Chinese culture, fitness behavior can be narrowly interpreted without affecting the descriptive content of its connotations, aligning with the general academic consensus (40, 41, 43). However, the limitations of narrow interpretations still need to be considered.

In summary, when discussing the autonomous fitness behavior of college students, understanding the differences between fitness and exercise helps to more comprehensively understand their health and activity habits, as well as the various aspects that need to be considered when designing strategies to promote healthy behaviors.

3.3 Agency perspective

Social Cognitive Theory emphasizes viewing human development, adaptation, and change from the perspective of the individual agent, rejecting the dichotomy between human agency and social structure (44, 45). Bandura (46) understands the development process of individual agency as evolving from perceiving causal relationships between environmental events, to understanding causal relationships through action, and finally recognizing oneself as an agent of action. This development process underscores the importance of self-construction by the subject. Individuals are considered to have the capacity for organization, proactivity, self-regulation, and self-reflection (46), and emphasize the individual's ability to contribute to and influence their living environment. Moreover, agency highlights four core attributes: intentionality, forethought, reactiveness, and self-reflectiveness. These core attributes demonstrate that human thought possesses generativity, creativity, proactivity, and reflectivity (46). Furthermore, Social Cognitive Theory emphasizes that personal attributes and the attributes of the environments individuals happen to encounter may affect the nature, scope, and intensity of their lives (31, 44). That is, the impact generated by personal agency is constructed jointly with individual attributes and the environment. In summary, agency is a unique aspect of humans, a capacity for self-direction and self-transformation (46).

Explaining autonomous fitness behavior from the perspective of agency means focusing on how individuals actively choose, control, and influence their fitness behavior. Agency emphasizes the individual's autonomous choices, coping methods, and control over their own actions. Fang (17), from this perspective of agency, first categorized the stages of adolescents’ fitness behavior and discovered the transition process from passive to active, then to autonomous, and finally to automatic (passive-active-autonomous-automatic), as well as its motivational mechanisms, thus proposing the sensitized concept of autonomous fitness behavior. The intentionality self-regulation process is considered a specific manifestation of individuals exercising subjective agency (47, 48). SOC strategies, as regulatory strategies, describe the process of individuals contributing to their future development (49). In short, intentionality self-regulation strategies (SOC strategies) address how to approach the fitness process from the perspective of agency.

In summary, the perspective of agency emphasizes that individuals are active constructors of health behaviors (such as autonomous fitness behavior). They do not passively respond to external stimuli but actively shape and influence their own health and well-being. In research and practice, starting from the perspective of agency can help us better understand and promote effective and lasting autonomous fitness behavior.

4 Research progress

Fang (17) utilized interpretative phenomenological analysis and the concept of sensitization in qualitative research to interpret adolescent autonomous fitness behavior and preliminarily examine its conceptual model, thus providing a starting point for the theoretical framework of subsequent related research. Studies on autonomous fitness behavior among college students subsequently ensued. Research has ranged from early assessments of autonomous fitness behavior in college students (50) to studies of the horizontal and longitudinal relationships of other significant variables, such as the relationship between exercise disincentives, exercise self-efficacy, and autonomous fitness behavior (51), the impact mechanism of social support on autonomous fitness behavior in college students (52), and the influence of new media choices on autonomous fitness behavior of college students (53). In current research, it is not difficult to find that there are relatively few studies focused specifically on autonomous fitness behavior among college students compared to those related to exercise behavior. Moreover, the research on autonomous fitness behavior predominantly originates from China. Additionally, research on autonomous fitness behavior tends to focus on single factors, lacking integrated multi-factor models. The inclusion of research regions also has certain limitations, and the research characteristics involved are summarized in Table 1.

Table 1

Table 1. Characteristics and summary of extracted results from the studies.

5 Future directions

5.1 Deepening conceptual understanding

Firstly, future research needs to be more precise in defining concepts. Currently, there appears to be a lack of research on the broader concept of autonomous fitness behavior, which could include a set of attributes people possess or achieve related to health or skills (40). The “results” definition part of autonomous fitness behavior seems to lack corresponding research attention. In the narrow sense of fitness behavior, the current autonomous fitness behavior conceptual model proposed by Fang (17) does not include behaviors related to diet, rest, reducing sedentary lifestyle, and other behaviors that maintain a healthy lifestyle. How can the “process” in autonomous fitness behavior promote the “results” in autonomous fitness behavior, i.e., can the narrow definition of autonomous fitness behavior promote the broader concept of autonomous fitness behavior? How are autonomy and agency further transformed in this context? What are the mechanisms of influence? Fitness behavior is a subset of health behavior, which includes a broader range of health-related activities and habits (54, 55). A deeper understanding of the concept can provide a reference and basis for further maintaining and improving the physical health of college students.

Secondly, clearly differentiate autonomous fitness behavior from related concepts such as self-efficacy and understand their differences and connections. This includes a deeper understanding and description of the components, nature, and types of autonomous fitness behavior. Autonomous fitness behavior consists of the sense of self-determination in fitness, the feeling of autonomy support from the environment, and the individual's intentional self-regulation SOC strategies (24). According to Self-Determination Theory (56), the nature of autonomous fitness behavior includes a high degree of personalization, meaning it varies according to individual preferences, goals, capabilities, and resources. At the same time, this behavior is self-directed under environmental influence, meaning that individual planning and behavior are constrained by environmental and situational factors. Additionally, it requires individuals to have adaptability and adjustment capacity, to modify according to changes in life, health status, and fitness outcomes (46). However, the direct differences and connections between types of autonomous fitness behavior in college students (aerobic vs. anaerobic, individual vs. group, indoor vs. outdoor, traditional vs. modern) are still worth further exploration.

5.2 How autonomy transitions to persistence

Self-Determination Theory posits that individuals who appear more autonomous tend to persist longer in certain behaviors (57). In the transition from autonomy to persistence, it seems that what is mainly lacking is duration. Studies have shown that becoming a regular exerciser requires at least 6 months of intervention to be effective (58), and 6 months into an exercise program, self-determined motivation may not be sufficient to maintain the behavior. This may be due to the fact that in the process of maintaining physical activity, life stress and barriers are the strongest predictors of persistence (59). At the same time, research indicates that focusing on the emotional outcomes produced by more autonomous regulation during exercise (such as enjoyment) is also a predictor of continued willingness to exercise, exercise habit, and persistence (57, 60, 61). However, there is a lack of deeper longitudinal research in current studies (including the relationship between variables and the temporal validity), and further research is necessary.

In autonomous fitness behavior, the internal sense of self-determination and the perception of autonomy support from the environment (such as enjoying the pleasure brought by exercise, satisfying the desire to improve health or physique, and perceiving institutional, interpersonal, atmospheric, and situational support in the environment) are key antecedents that motivate individuals to start and continue fitness activities (62). After starting to actively engage in fitness, over time, an individual's basic psychological needs or intrinsic motivation are gradually cyclically reinforced following successful experiences (63). Subsequently, individuals can consciously select, optimize, and compensate for fitness goals and methods (64), enabling them to find solutions and maintain fitness behavior when facing challenges such as time management or decreasing motivation. This stage of exercise is considered the phase of autonomous fitness behavior (17).

As time progresses and with repeated practice, fitness behavior gradually transitions from conscious autonomous choices to more automatic habits. In this process, individuals begin to integrate fitness into their daily lives, reducing reliance on willpower. Research indicates that habit formation is a gradual process involving behavior repetition, stability of environmental cues, and the establishment of reward mechanisms (65–67), with automaticity being a necessary condition for habit. The time it takes for an individual to reach a stable state of habit formation ranges from 18 to 254 days, with significant individual variations (68). What individual differences exist in the formation of automatic fitness behavior habits among college students? What adjustments might occur in individuals' attitudes and beliefs during this process? How does emotional response post-exercise influence this transition? Is this process only prevalent in collectivist cultural contexts? And what about its applicability in different cultural, age, or socioeconomic backgrounds? These are all questions worth further exploration in the future.

5.3 Technological and interdisciplinary innovations

In recent years, research exploring the integration of modern technologies such as mobile health technology, social media, and virtual reality with modern life has become increasingly common (69–71). Modern society is also becoming more reliant on these innovative technologies. In promoting autonomous fitness behavior among college students, the first consideration seems to be how these technologies adapt to the lifestyles and preferences of college students (72–74). After all, autonomous fitness behavior is just a subset of a healthy lifestyle, and the different needs and preferences of various college students will dictate different categories and themes, such as the use of fitness apps (75). Furthermore, utilizing smartphone applications, wearable devices, virtual reality (VR), and augmented reality (AR) technologies to enhance and monitor the effectiveness and reliability of college students' autonomous fitness behavior has also been a current research focus (76–78). However, what role do these technologies play in the process of behavioral stage changes and the transformation of awareness in fitness behavior stages? What are the mechanisms of impact? These are potential future research directions.

Interdisciplinary research can provide a more comprehensive understanding of sports science (79, 80). It can also help researchers break away from the characteristics of single-discipline research, examine phenomena from different perspectives, and perhaps more effectively utilize knowledge obtained from multiple perspectives to narrow the gap between research and practice (81). The discovery of autonomous fitness behavior itself is the amalgamation of interdisciplinary theories (24). Integrating knowledge from psychology, sociology, medicine, information science, and environmental science, among other fields (82), helps to deepen the understanding and design of interventions that affect college students’ fitness behavior. It explores the dynamic mechanisms of influence and the interconnections between theories to more comprehensively understand and promote autonomous fitness behavior among college students and further improve their physical health status. For example, according to Self-Determination Theory, in addition to autonomy support, support for competence and relatedness is also important for enhancing levels of autonomous motivation (83). A recent educational study identified a classification system of behaviors that support autonomy, competence, and relatedness (84). Researchers can apply these conceptual frameworks to design fitness programs aimed at motivating college students autonomously. This enhanced framework helps understand how various aspects of supporting autonomy affect individuals' motivation to engage independently in fitness activities, facilitating more detailed intervention measures.

Additionally, creating more comprehensive, effective, and sustainable fitness promotion strategies through technological innovation and the integration of interdisciplinary research methods is also a potential future research trend (85–87). At the same time, some models from children and adolescents are also considered applicable to adults (88) and are worth further exploration and verification in the future.

6 Conclusion

This narrative review comprehensively analyzes autonomous fitness behavior among college students, highlighting the main conceptual limitations and empirical progress within this field. Despite the integration of Self-Determination Theory, the review reveals ambiguities in accurately measuring autonomous fitness behavior and differentiating it from general exercise behavior, which complicates the implementation of effective interventions. Moreover, although interest in autonomous fitness behaviors is increasing, there is a noticeable lack of comprehensive studies that explore the multifaceted factors influencing these behaviors. Future research should strive to deepen conceptual understanding and further explore the complex dynamics of the transition from autonomy to persistence, employing technological and interdisciplinary methodological perspectives to enhance understanding and promote sustainable fitness habits. This holistic exploration not only deepens our understanding of the complexities of autonomous fitness behavior among college students but also lays the groundwork for developing more effective, targeted health promotion strategies and interventions for this demographic.

Author contributions

ZG: Conceptualization, Formal Analysis, Writing – original draft, Writing – review & editing. CC: Conceptualization, Formal Analysis, Writing – original draft, Writing – review & editing. RO: Conceptualization, Formal Analysis, Writing – original draft, Writing – review & editing. JG: Conceptualization, Formal Analysis, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Wu XY, Han LH, Zhang JH, Luo S, Hu JW, Sun K. The influence of physical activity, sedentary behavior on health-related quality of life among the general population of children and adolescents: a systematic review. PLoS One. (2017) 12 (11):e0187668. doi: 10.1371/journal.pone.0187668

PubMed Abstract | Crossref Full Text | Google Scholar

2. Guthold R, Stevens GA, Riley LM, Bull FC. 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 (1): 23–35. doi: 10.1016/S2352-4642(19)30323-2

PubMed Abstract | Crossref Full Text | Google Scholar

3. Sluijs EMF, Ekelund U, Crochemore-Silva I, Guthold R, Ha A, Lubans D, et al. Physical activity behaviours in adolescence: current evidence and opportunities for intervention. Lancet (London, England). (2021) 398(10298):429–42. doi: 10.1016/S0140-6736(21)01259-9

PubMed Abstract | Crossref Full Text | Google Scholar

4. Arsandaux J, Montagni I, Macalli M, Bouteloup V, Tzourio C, Galéra C. Health risk behaviors and self-esteem among college students: systematic review of quantitative studies. Int J Behav Med. (2020) 27 (2):142–59. doi: 10.1007/s12529-020-09857-w

PubMed Abstract | Crossref Full Text | Google Scholar

5. Pan M, Ying B, Lai Y, Kuan G. Status and influencing factors of physical exercise among college students in China: a systematic review. Int J Environ Res Public Health. (2022) 19(20):13465. doi: 10.3390/ijerph192013465

PubMed Abstract | Crossref Full Text | Google Scholar

6. Gao XL, Zhang JH, Yang Y, Cao ZB. Sedentary behavior, screen time and mental health of college students: a meta-analysis. Zhonghua Liu Xing Bing Xue Za Zhi. (2023) 44 (3): 477–85. doi: 10.3760/cma.j.cn112338-20220728-00669

PubMed Abstract | Crossref Full Text | Google Scholar

7. Visser PL, Hirsch JK. Health behaviors among college students: the influence of future time perspective and basic psychological need satisfaction. Health Psychol Behav Med. (2014) 2 (1):88–99. doi: 10.1080/21642850.2013.872992

PubMed Abstract | Crossref Full Text | Google Scholar

8. Deng J, Liu Y, Chen R, Wang Y. The relationship between physical activity and life satisfaction among university students in China: the mediating role of self-efficacy and resilience. Behav Sci (Basel, Switzerland). (2023) 13 (11):889. doi: 10.3390/bs13110889

Crossref Full Text | Google Scholar

9. Subiron-Valera AB, Rodriguez-Roca B, Calatayud E, Gomez-Soria I, Andrade-Gómez E, Marcen-Roman Y. Linking sedentary behavior and mental distress in higher education: a cross-sectional study. Front Psychol. (2023) 14:1205837. doi: 10.3389/fpsyg.2023.1205837

PubMed Abstract | Crossref Full Text | Google Scholar

10. Kljajević V, Stanković M, Đorđević D, Trkulja-Petković D, Jovanović R, Plazibat K, et al. Physical activity and physical fitness among university students—a systematic review. Int J Environ Res Public Health. (2021) 19 (1):158. doi: 10.3390/ijerph19010158

Crossref Full Text | Google Scholar

11. Tafireyi CGS, Grace JM. The physical activity and health promotion activities of global university students: a review of reviews. Glob Health Promot. (2022) 29 (4):63–73. doi: 10.1177/17579759221099308

Crossref Full Text | Google Scholar

12. Direito A, Carraça E, Rawstorn J, Whittaker R, Maddison R. mHealth technologies to influence physical activity and sedentary behaviors: behavior change techniques, systematic review and meta-analysis of randomized controlled trials. Ann Behav Med. (2017) 51 (2):226–39. doi: 10.1007/s12160-016-9846-0

PubMed Abstract | Crossref Full Text | Google Scholar

13. Fallon D. Understanding the theory of health and illness beliefs’. In: Cultural Awareness in Nursing and Health Care, 3rd ed. New York: Routledge (2017). p. 16–18. ISBN :9781315381992.

Google Scholar

14. Ahlstrand I, Larsson I, Larsson M, Ekman A, Hedén L, Laakso K, et al. Health-promoting factors among students in higher education within health care and social work: a cross-sectional analysis of baseline data in a multicentre longitudinal study. BMC Public Health. (2022) 22 (1):1314. doi: 10.1186/s12889-022-13690-z

PubMed Abstract | Crossref Full Text | Google Scholar

15. Zhang X, Xu X. Continuous use of fitness apps and shaping factors among college students: a mixed-method investigation. Int J Nurs Sci. (2020) 7 (September): S80–7. doi: 10.1016/j.ijnss.2020.07.009

PubMed Abstract | Crossref Full Text | Google Scholar

16. Li B, Han S, Meng S, Lee J, Cheng J, Liu Y. Promoting exercise behavior and cardiorespiratory fitness among college students based on the motivation theory. BMC Public Health. (2022) 22(1):738. doi: 10.1186/s12889-022-13159-z

PubMed Abstract | Crossref Full Text | Google Scholar

17. Fang R. Conceptual Modeling and Scale Development of Adolescent Autonomous Fitness Behavior. Doctoral thesis, Qufu Normal University. (2012). Available online at: https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CDFD&dbname=CDFD1214&filename=1013156914.nh&v=

Google Scholar

18. Eather N, Wade L, Pankowiak A, Eime R. The impact of sports participation on mental health and social outcomes in adults: a systematic review and the “mental health through sport” conceptual model. Syst Rev. (2023) 12 (1):102. doi: 10.1186/s13643-023-02264-8

PubMed Abstract | Crossref Full Text | Google Scholar

19. Johannes C, Onagbiye SO, Roman NV, Leach LL. Strategies and best practices that enhance participation in regular physical activities among undergraduate university students: a systematic review protocol. BMJ Open. (2022) 12 (12):e062997. doi: 10.1136/bmjopen-2022-062997

PubMed Abstract | Crossref Full Text | Google Scholar

20. Templier M, Paré G. A framework for guiding and evaluating literature Reviews. Commun Assoc Inf Syst. (2015) 37(1)112–37. doi: 10.17705/1CAIS.03706

Crossref Full Text | Google Scholar

21. Chen R, Xiaohui T. A new perspective on the study of adolescent fitness behavior–a review of the conceptual model construction and scale development of adolescent autonomous fitness behavior. J Phys Educ Adult Educ. (2015) 31 (4):53–5. doi: 10.16419/j.cnki.42-1684/g8.2015.04.013

Crossref Full Text | Google Scholar

22. Deci EL, Ryan RM. Self-determination theory: a macrotheory of human motivation, development, and health. Can Psychol. (2008) 49:182–85. doi: 10.1037/a0012801

Crossref Full Text | Google Scholar

23. Gestsdottir S, Urban JB, Bowers EP, Lerner JV, Lerner R. Intentional self-regulation, ecological assets, and thriving in adolescence: a developmental systems model. New Dir Child Adolesc Dev. (2011) 2011 (133):61–76. doi: 10.1002/cd.304

PubMed Abstract | Crossref Full Text | Google Scholar

24. Fang R. Qualitative research on conceptual model concerning teenagers’autonomous fitness behavior. J Beijing Sports Univ. (2013) 36 (7):41–6. doi: 10.19582/j.cnki.11-3785/g8.2013.07.008

Crossref Full Text | Google Scholar

25. Sheng J, Guangxu T, Maochang L, Baocai S, Huanguo L. Analysis of autonomous fitness behavior of adolescents in junior high school in Gansu province. Chin J Sch Health. (2014) 35(11):1708–10. doi: 10.16835/j.cnki.1000-9817.2014.11.040

Crossref Full Text | Google Scholar

26. Fang R, Yiming L, Jinhai S. Exploration and testing of a conceptual model of adolescent autonomous fitness behavior. China Sports Sci Technol. (2012) 48 (6):104–16. doi: 10.16470/j.csst.2012.06.019

Crossref Full Text | Google Scholar

27. Ryan RM, Deci EL. Self-regulation and the problem of human autonomy: does psychology need choice, self-determination, and will?. J Pers. (2006) 74(6):1557–86. doi: 10.1111/j.1467-6494.2006.00420.x

PubMed Abstract | Crossref Full Text | Google Scholar

28. Okumus Ceylan N. The relationship between learner autonomy and motivation. Turkish Online J Educ Technol. (2021) 20(4):150–8.

Google Scholar

29. Mammadov S, Tozoglu D. Autonomy support, personality, and mindset in predicting academic performance among early adolescents: the mediating role of self-determined motivation. Psychol Sch. (2023) 60(10):3754–69. doi: 10.1002/pits.22966

Crossref Full Text | Google Scholar

30. Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol. (2000) 55:68–78. doi: 10.1037/0003-066X.55.1.68

PubMed Abstract | Crossref Full Text | Google Scholar

31. Bandura A. Self-Efficacy: The Exercise of Control. Self-Efficacy: The Exercise of Control. New York, NY, US: W H Freeman/Times Books/ Henry Holt & Co (1997).

Google Scholar

32. Rodgers WM, Markland D, Selzler A-M, Murray TC, Wilson PM. Distinguishing perceived competence and self-efficacy: an example from exercise. Res Q Exerc Sport. (2014) 85(4):527–39. doi: 10.1080/02701367.2014.961050

PubMed Abstract | Crossref Full Text | Google Scholar

33. Voskuil VR, Robbins LB. Youth physical activity self-efficacy: a concept analysis. J Adv Nurs. (2015) 71 (9):2002–19. doi: 10.1111/jan.12658

PubMed Abstract | Crossref Full Text | Google Scholar

34. Zimmermann J, Tilga H, Bachner J, Demetriou Y. The German multi-dimensional perceived autonomy support scale for physical education: adaption and validation in a sample of lower track secondary school students. Int J Environ Res Public Health. (2020) 17 (19):7353. doi: 10.3390/ijerph17197353

PubMed Abstract | Crossref Full Text | Google Scholar

35. Ryan RM, Williams GC, Patrick H, Deci EL. Self-determination theory and physical activity: the dynamics of motivation in development and wellness. Hell J Psychol. (2009) 6(2):107–24.

Google Scholar

36. Hagger MS, Hardcastle SJ, Chater A, Mallett C, Pal S, Chatzisarantis NLD. Autonomous and controlled motivational regulations for multiple health-related behaviors: between- and within-participants analyses. Health Psychol Behav Med. (2014) 2 (1):565–601. doi: 10.1080/21642850.2014.912945

PubMed Abstract | Crossref Full Text | Google Scholar

37. De-Juanas Á, Romero TB, Goig R. The relationship between psychological well-being and autonomy in young people according to age. Front Psychol. (2020) 11(December):559976. doi: 10.3389/fpsyg.2020.559976

PubMed Abstract | Crossref Full Text | Google Scholar

38. Corbin CB, Pangrazi RP, Don Franks B. Definitions: health, fitness, and physical activity. In: President’s Council on Physical Fitness and Sports Research Digest, Series 3. Washington, DC: President’s Council on Physical Fitness and Sports (2000). p. 1–6. Available online at: https://files.eric.ed.gov/fulltext/ED470696.pdf (Accessed October 18, 2023).

Google Scholar

39. Kapoor G, Chauhan P, Singh G, Malhotra N, Chahal A. Physical activity for health and fitness: past, present and future. J Lifestyle Med. (2022) 12 (1): 9–14. doi: 10.15280/jlm.2022.12.1.9

PubMed Abstract | Crossref Full Text | Google Scholar

40. Caspersen CJ, Powell KE, Christenson GM. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Rep. (1985) 100(2):126–31.3920711

PubMed Abstract | Google Scholar

41. Bouça-Machado R, Rosário A, Daniel C, Caldas AC, Guerreiro D, Venturelli M, et al. Physical activity, exercise, and physiotherapy in Parkinson’s disease: defining the concepts. Mov Disord Clin Pract. (2019) 7(1):7–15. doi: 10.1002/mdc3.12849

Crossref Full Text | Google Scholar

42. Zhang X, Qian H. A theoretical analysis of the impact of social capital on physical fitness and the path of action. J Xi’an Inst Phys Educ. (2018) 35 (6): 657–62. doi: 10.16063/j.cnki.issn1001-747x.2018.06.004

Crossref Full Text | Google Scholar

43. Ayers SF. Physical Education for Lifelong Fitness: The Physical Best Teacher's Guide, 3rd ed. Champaign, IL: Human Kinetics (2011).

Google Scholar

44. Bandura A. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ, US: Prentice-Hall, Inc (1986).

Google Scholar

45. Bandura A. Social cognitive theory: an agentic perspective. Annu Rev Psychol. (2001) 52 (1):1–26. doi: 10.1146/annurev.psych.52.1.1

PubMed Abstract | Crossref Full Text | Google Scholar

46. Bandura A. Toward a psychology of human agency. Perspect Psychol Sci. (2006) 1(2):164–80. doi: 10.1111/j.1745-6916.2006.00011.x

PubMed Abstract | Crossref Full Text | Google Scholar

47. Lerner R, Brentano C, Dowling E, Anderson P. Positive youth development: thriving as the basis of personhood and civil society. New Dir Youth Dev. (2002) 7(February):11–33. doi: 10.1002/yd.14

Crossref Full Text | Google Scholar

48. Gestsdottir S, Bowers E, von Eye A, Napolitano CM, Lerner RM. Intentional self-regulation in middle adolescence: the emerging role of loss-based selection in positive youth development. J Youth Adolesc. (2010) 39 (7):764–82. doi: 10.1007/s10964-010-9537-2

PubMed Abstract | Crossref Full Text | Google Scholar

49. Freund AM, Baltes PB. Life-management strategies of selection, optimization and compensation: measurement by self-report and construct validity. J Pers Soc Psychol. (2002) 82 (4):642–62. doi: 10.1037/0022-3514.82.4.642

PubMed Abstract | Crossref Full Text | Google Scholar

50. Sheng J. Evaluation of autonomous fitness behavior of college students–the case of college students in Gansu province. Health Prof Educ. (2013) 31(19):106–8. CNKI:SUN:ZDYX.0.2013-19-058

Google Scholar

51. Jin M, Jing W, Huajuan J, Wei L, Yachen L. No exercise temptation, exercise self—efficacy and autonomous fitness behavior: horizontal and vertical re- search evidence. J Tianjin Sports Inst. (2018) 33 (3):230–36. doi: 10.13297/j.cnki.issn1005-0000.2018.03.008

Crossref Full Text | Google Scholar

52. Li N, Zhao S, Liu C, Dai K, Huang W. “Exploring the relationship between perceived social support and college students” autonomous fitness behavior: chain mediating effect test. Front Psychol. (2023) 13:1036383. doi: 10.3389/fpsyg.2022.1036383

PubMed Abstract | Crossref Full Text | Google Scholar

53. Ni J. “A Study of the Impact of New Media Selection and Use on College Students” Autonomous Fitness Behavior in the Post Epidemic Era’. Huaibei City, China: Master, Huaibei Normal University (2022). Available online at: https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CMFD&dbname=CMFD202202&filename=1022597121.nh&v=

Google Scholar

54. Von Ah D, Ebert S, Ngamvitroj A, Park N, Kang D-H. Predictors of health behaviours in college students. J Adv Nurs. (2004) 48 (5): 463–74. doi: 10.1111/j.1365-2648.2004.03229.x

PubMed Abstract | Crossref Full Text | Google Scholar

55. Havigerová JM, Dosedlová J, Burešová I. One health behavior or many health-related behaviors? Psychol Res Behav Manag. (2018) 12 (December):23–30. doi: 10.2147/PRBM.S173692

Crossref Full Text | Google Scholar

56. Deci EL, Ryan RM. Intrinsic Motivation and Self-Determination in Human Behavior. New York, NY: Springer (2013).

Google Scholar

57. Rodrigues F, Bento T, Cid L, Neiva HP, Teixeira D, Moutão J, et al. Can interpersonal behavior influence the persistence and adherence to physical exercise practice in adults? A systematic review. Front Psychol. (2018) 9:2141. doi: 10.3389/fpsyg.2018.02141

PubMed Abstract | Crossref Full Text | Google Scholar

58. Rodgers WM, Hall CR, Duncan LR, Pearson E, Milne MI. Becoming a regular exerciser: examining change in behavioural regulations among exercise initiates. Psychol Sport Exerc. (2010) 11(5):378–86. doi: 10.1016/j.psychsport.2010.04.007

Crossref Full Text | Google Scholar

59. Jekauc D, Völkle M, Wagner MO, Mess F, Reiner M, Renner B. Prediction of attendance at fitness center: a comparison between the theory of planned behavior, the social cognitive theory, and the physical activity maintenance theory. Front Psychol. (2015) 6 (February):121. doi: 10.3389/fpsyg.2015.00121

PubMed Abstract | Crossref Full Text | Google Scholar

60. Teixeira DS, Rodrigues F, Cid L, Monteiro D. Enjoyment as a predictor of exercise habit, intention to continue exercising, and exercise frequency: the intensity traits discrepancy moderation role. Front Psychol. (2022) 13:780059. doi: 10.3389/fpsyg.2022.780059

PubMed Abstract | Crossref Full Text | Google Scholar

61. Szuhany KL, Steinberg MH, McLaughlin NCR, Mancebo MC, Brown RA, Greenberg BD, et al. Predictors of long-term exercise engagement in patients with obsessive-compulsive disorder: the role of physical activity enjoyment. Behav Ther. (2023) 54 (4):610–22. doi: 10.1016/j.beth.2022.12.010

PubMed Abstract | Crossref Full Text | Google Scholar

62. Fang R, Zhonghua W, Xiao Z, Yuting G. Antecedent mechanism for effect of perceived autonomy support on undergraduates’ exercise adherence: a moderated mediation model. J Beijing Sports Univ. (2020) 43 (8):111–19. doi: 10.19582/j.cnki.11-3785/g8.2020.08.011

Crossref Full Text | Google Scholar

63. Schneider ML, Kwan BM. Psychological need satisfaction, intrinsic motivation and affective response to exercise in adolescents. Psychol Sport Exerc. (2013) 14(5):776–85. doi: 10.1016/j.psychsport.2013.04.005

PubMed Abstract | Crossref Full Text | Google Scholar

64. Fang R, Ruihua C. The mediating effect of physical activity between intentional self-regulation SOC strategies and self-esteem among college students. J Tianjin Sports Inst. (2016) 31 (5):393–8 +435. doi: 10.13297/j.cnki.issn1005-0000.2016.05.005

Crossref Full Text | Google Scholar

65. Verplanken B. Beyond frequency: habit as mental construct. Br J Soc Psychol. (2006) 45 (Pt 3):639–56. doi: 10.1348/014466605X49122

PubMed Abstract | Crossref Full Text | Google Scholar

66. Nilsen P, Roback K, Broström A, Ellström P-E. Creatures of habit: accounting for the role of habit in implementation research on clinical behaviour change. Implement Sci. (2012) 7(1):53. doi: 10.1186/1748-5908-7-53

PubMed Abstract | Crossref Full Text | Google Scholar

67. Judah G, Gardner B, Kenward MG, DeStavola B, Aunger R. Exploratory study of the impact of perceived reward on habit formation. BMC Psychol. (2018) 6 (1):62. doi: 10.1186/s40359-018-0270-z

PubMed Abstract | Crossref Full Text | Google Scholar

68. Lally P, van Jaarsveld CHM, Potts HWW, Wardle J. How are habits formed: modelling habit formation in the real world. Eur J Soc Psychol. (2010) 40 (6): 998–1009. doi: 10.1002/ejsp.674

Crossref Full Text | Google Scholar

69. Gao Z, Lee JE. Emerging technology in promoting physical activity and health: challenges and opportunities. J Clin Med. (2019) 8 (11):1830. doi: 10.3390/jcm8111830

PubMed Abstract | Crossref Full Text | Google Scholar

70. Liu Y, Zhang H, Xu R. The impact of technology on promoting physical activities and mental health: a gender-based study. BMC Psychol. (2023) 11(1):298. doi: 10.1186/s40359-023-01348-3

PubMed Abstract | Crossref Full Text | Google Scholar

71. Mumtaz H, Riaz MH, Wajid H, Saqib M, Zeeshan MH, Khan SE, et al. Current challenges and potential solutions to the use of digital health technologies in evidence generation: a narrative review. Front Digit Health. (2023) 5:1203945. doi: 10.3389/fdgth.2023.1203945

PubMed Abstract | Crossref Full Text | Google Scholar

72. Abbas J, Aman J, Nurunnabi M, Bano S. The impact of social media on learning behavior for sustainable education: evidence of students from selected universities in Pakistan. Sustainability. (2019) 11 (6):1683. doi: 10.3390/su11061683

Crossref Full Text | Google Scholar

73. Crittenden WF, Biel IK, Lovely WA. Embracing digitalization: student learning and new technologies. J Mark Educ. (2019) 41(1):5–14. doi: 10.1177/0273475318820895

Crossref Full Text | Google Scholar

74. Butt S, Mahmood A, Saleem S, Rashid T, Ikram A. Students’ performance in online learning environment: the role of task technology fit and actual usage of system during COVID-19. Front Psychol. (2021) 12:759227. doi: 10.3389/fpsyg.2021.759227

PubMed Abstract | Crossref Full Text | Google Scholar

75. Wang Y, Collins WB. Systematic evaluation of mobile fitness apps: apps as the tutor, recorder, game companion, and cheerleader. Telemat Inform. (2021) 59 (June):101552. doi: 10.1016/j.tele.2020.101552

Crossref Full Text | Google Scholar

76. Muntaner-Mas A, Martinez-Nicolas A, Lavie CJ, Blair SN, Ross R, Arena R, et al. A systematic review of fitness apps and their potential clinical and sports utility for objective and remote assessment of cardiorespiratory fitness. Sports Med. (2019) 49(4):587–600. doi: 10.1007/s40279-019-01084-y

PubMed Abstract | Crossref Full Text | Google Scholar

77. Luo W, He Y. Influence of sports applications on college students’ exercise behaviors and habits: a thematic analysis. Alexandria Eng J. (2021) 60(6):5095–104. doi: 10.1016/j.aej.2021.03.059

Crossref Full Text | Google Scholar

78. Soulé B, Marchant G, Verchère R. Sport and fitness app uses: a review of humanities and social science perspectives. Eur J Sport Soc. (2022) 19(2):170–89. doi: 10.1080/16138171.2021.1918896

Crossref Full Text | Google Scholar

79. Piggott B, Muller S, Chivers P, Papaluca C, Hoyne G. Is sports science answering the call for interdisciplinary research? A systematic review. Eur J Sport Sci. (2018) 19(September):1–20. doi: 10.1080/17461391.2018.1508506

PubMed Abstract | Crossref Full Text | Google Scholar

80. Piggott B, Müller S, Chivers P, Cripps A, Hoyne G. Interdisciplinary sport research can better predict competition performance, identify individual differences, and quantify task representation. Front Sports Act Living. (2020) 2:14. doi: 10.3389/fspor.2020.00014

PubMed Abstract | Crossref Full Text | Google Scholar

81. Doherty A. “It takes a village:” interdisciplinary research for sport management. J Sport Manag. (2013) 26 (January):1–10. doi: 10.1123/jsm.27.1.1

Crossref Full Text | Google Scholar

82. Davis R, Campbell R, Hildon Z, Hobbs L, Michie S. Theories of behaviour and behaviour change across the social and behavioural sciences: a scoping review. Health Psychol Rev. (2015) 9(3):323–44. doi: 10.1080/17437199.2014.941722

PubMed Abstract | Crossref Full Text | Google Scholar

83. Ryan RM, Deci EL. Self-Determination Theory: Basic Psychological Needs in Motivation, Development, and Wellness. Self-Determination Theory: Basic Psychological Needs in Motivation, Development, and Wellness. New York, NY, US: The Guilford Press (2017). doi: 10.1521/978.14625/28806

Google Scholar

84. Ahmadi A, Noetel M, Parker P, Ryan RM, Ntoumanis N, Reeve J, et al. A classification system for teachers’ motivational behaviors recommended in self-determination theory interventions. J Educ Psychol. (2023) 115 (8):1158–76. doi: 10.1037/edu0000783

Crossref Full Text | Google Scholar

85. Mondejar ME, Avtar R, Baños Diaz HL, Dubey RK, Esteban J, Gómez-Morales A, et al. Digitalization to achieve sustainable development goals: steps towards a smart green planet. Sci Total Environ. (2021) 794(November):148539. doi: 10.1016/j.scitotenv.2021.148539

PubMed Abstract | Crossref Full Text | Google Scholar

86. Lepore D, Dolui K, Tomashchuk O, Shim H, Puri C, Li Y, et al. Interdisciplinary research unlocking innovative solutions in healthcare. Technovation. (2023) 120 (February):102511. doi: 10.1016/j.technovation.2022.102511

Crossref Full Text | Google Scholar

87. Fabbrizio A, Fucarino A, Cantoia M, De Giorgio A, Garrido ND, Iuliano E, et al. Smart devices for health and wellness applied to tele-exercise: an overview of new trends and technologies such as IoT and AI. Healthcare. (2023) 11 (12):1805. doi: 10.3390/healthcare11121805

PubMed Abstract | Crossref Full Text | Google Scholar

88. Eime RM, Young JA, Harvey JT, Charity MJ, Payne WR. 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 (1):98. doi: 10.1186/1479-5868-10-98

PubMed Abstract | Crossref Full Text | Google Scholar