Introduction
2016 “Well being China 2030 Plan” stipulates that by 2030, college students ought to train MVPA (Reasonable to Vigorous Bodily Exercise) greater than thrice per week.1 Adhering to long-term and common bodily train not solely helps domesticate common train habits and optimistic emotional experiences,2 but in addition contributes to weight reduction.3 Train adherence is a steady behavioural tendency exhibited by people in train.4 Research have discovered that train adherence has vital bodily and psychological results on youngsters.5,6
Nonetheless, the train behaviour of faculty college students has been negatively affected because the COVID-19 epidemic.7 It was discovered that the common train time of Chinese language faculty college students dropped dramatically from 540 minutes/week to 105 minutes/week throughout the pandemic in comparison with the pre-pandemic interval of COVID-19.7 The lower in steady bodily train would result in the decline of youngsters’ physique and psychological resilience,8 in addition to a rise in myopia and weight problems charges.9,10 Due to this fact, it’s vital to research the first determinants of train adherence and study the underlying mechanisms.
Health Apps Utilization Depth and Train Adherence
With the speedy improvement of media community expertise, health apps turn out to be the principle help for school college students to train.11 Nonetheless, there’s much less analysis on the impression of health apps on faculty college students’ train adherence. Health apps utilization depth(FAUI) refers back to the diploma of integration of health apps’ social media into faculty college students’ lives.12 In keeping with social media concept, social media gives instrumental and emotional assist and is a contributing issue to the conclusion of train behaviour.13 With the continual integration of contemporary self-media, social media is an more and more widespread part of health apps.12 The Examine has discovered that health apps’ social parts (particular communities and connections to current social media platforms) have a optimistic impression on selling train.14 As an illustration, Wang et al15 discovered that the social options of health apps (eg, visible suggestions, imitation studying, and show interplay) have a optimistic impression on selling customers’ train adherence. Accordingly, we suggest that FAUI might enhance train adherence.
Subjective Train Expertise as a Mediator
In keeping with social media concept, FAUI might have an effect on train adherence. Nonetheless, Earlier analysis has not often explored the mechanisms mediating the impact of FAUI on train adherence. Researchers have steered that it’s not adequate to easily discover the affiliation between variables. And the introduction of mediating variables may reveal “how” FAUI impacts train adherence.
Subjective train expertise as a self-evaluation of emotional emotions is taken into account to be a mediating issue. Health apps are higher in a position to assure the effectiveness of social interplay and emotional expertise of customers.16 Via health apps, individuals may synchronize real-time dynamic knowledge of train to the health app, share health experiences and achievements at any time, and supervise one another, leading to a superb emotional expertise. Petersen et al17 discovered that health apps assist to boost inside motivation such because the enjoyment expertise of train for customers. Consequently, FAUI could also be related to subjective train expertise. Furthermore, when people have a superb subjective expertise of train, they could consider that sports activities would convey sensible advantages and comfort, thus rising their willingness to take part in sports activities.18 Earlier researchers discovered that subjective train expertise positively influenced train adherence.19,20 Thus, subjective train expertise might mediate the connection between FAUI and train adherence.
The Moderating Position of Management Beliefs
FAUI might affect train adherence by means of the mediating position of subjective train experiences, it’s plain that there could also be some particular person variations on this impression. Due to this fact, it’s essential to discover whether or not the mediating technique of FAUI affect on train adherence by means of subjective train expertise is moderated by different elements, which may also help reply the query of “when does FAUI affect” to disclose the mechanism of FAUI impact on train adherence.
Management beliefs as a self-evaluation of behaviour and talent to affect outcomes (eg, self-control, self-efficacy and self-concept)21 is taken into account to be a moderating issue. In keeping with reciprocal determinism concept,22 management beliefs and social media can work together as cognitive and environmental elements to affect particular person behaviour. Because the examine discovered, on-line social self-efficacy moderated the connection between on-line interpersonal belief and on-line altruistic conduct.23 Khan24 discovered that data sharing self-efficacy moderated the connection between knowledge-collecting conduct and social networking. Furthermore, in keeping with emotion–cognition interactions concept,25 emotional and cognitive interactions are vital for adaptive functioning.25 In different phrases, management beliefs and emotional experiences would work together to affect particular person behaviour. Because the examine discovered, decision-making self-efficacy moderated the connection between worry of local weather change and pro-environmental behaviours.26 Wang27 discovered that self-control had a moderating impact on the affiliation between alienation and the phubbing of faculty college students. In mild of that, management beliefs might average the connection between FAUI and train adherence, in addition to the connection between subjective train expertise and train adherence.
The Current Examine
Taken collectively, the goals of this examine have been threefold. First, we examined whether or not FAUI was considerably related to train adherence. Second, the present examine examined whether or not subjective train expertise would mediate the connection between FAUI and train adherence. Third, we examined whether or not management beliefs would average the affiliation between FAUI and train adherence (Determine 1). Primarily based on the literature assessment, we proposed the next hypotheses:
Speculation 1: FAUI is positively associated to train adherence.
Speculation 2: Subjective train expertise would mediate the connection between FAUI and train adherence.
Speculation 3: Management beliefs would average the affiliation between FAUI and train adherence in addition to subjective train expertise and train adherence.
|
Determine 1 Moderated mediation mannequin of the impact of FAUI on train adherence.
|
Supplies and Strategies
Members
In China’s goal schools (5 odd schools), 15 courses from grade 1 to grade 3 have been chosen by means of a comfort sampling methodology. 1705 college students of the goal class participated within the nameless survey voluntarily. The standards for unqualified contributors have been by no means utilizing health apps, not answering all questions and regularity of solutions, reminiscent of the identical rating in every merchandise or an everyday sample of scores (1,2,3,4,5,1,2,3,4,5,1,2,3,4,5, and so forth.). After excluding unqualified samples, we lastly collected 1300 (Mage =19.14, SDage=1.06) legitimate questionnaires with an efficient response charge of 76.24% from 1705 main questionnaires. The imply age ranges from 18 to 21 years. Amongst them, 46.3% have been boys, 53.7% have been women; 37.5% have been grade 1, 27.1% have been grade 2 and 35.4% have been grade 3. Faculty college students and their mother and father supplied written knowledgeable consent for this examine.
Measures
Health Apps Utilization Depth Scale
It’s a 6-item scale that was revised by Ellison et al.28 On this examine, “social networking websites” within the scale have been remodeled into “health apps”. Members rated every merchandise (eg, Once I don’t use health apps for some time, I really feel disconnected) on a 5-point scale starting from 1= strongly disagree to five= strongly agree. Greater scores point out greater ranges of FAUI. A confirmatory issue evaluation (CFA) yielded acceptable match indicators of Health Apps Utilization Depth Scale on this examine: normed match index (NFI)=0.96, goodness of match index (GFI)=0.99, comparative match index (CFI)=0.97, root imply sq. error of approximation (RMSEA)=0.05. Cronbach’s alpha was 0.88. The reliability index and cultural adaptation of the dimensions utilized in analysis of Chinese language samples are properly.29,30
Train Adherence Scale
It’s a 6-item scale that was revised by Liu et al.31 On this examine, “outside sports activities” or “sports activities” within the scale have been remodeled into “train”. Members rated every merchandise (eg, If I stop train, I’ll really feel very unhappy) on a 5-point scale starting from 1= strongly disagree to five=strongly agree. Greater scores point out greater ranges of train adherence. A confirmatory issue evaluation (CFA) yielded acceptable match indicators (NFI=0.97, GFI=0.99, CFI=0.98, RMSEA=0.04) of Train Adherence Scale on this examine. Cronbach’s alpha was 0.90. The reliability index and cultural adaptation of the dimensions utilized in analysis of Chinese language samples are properly.20,31
Subjective Train Expertise Scale
It’s an 8-item scale that was revised by Dong.32 Members rated every merchandise (eg, Collaborating in train makes me really feel assured) on a 5-point scale starting from 1= strongly disagree to five= strongly agree. Greater scores point out greater ranges of subjective train expertise. A confirmatory issue evaluation (CFA) yielded acceptable match indicators (NFI=0.93, GFI=0.96, CFI=0.95, RMSEA=0.05) of Subjective Train Expertise Scale on this examine. Cronbach’s alpha was 0.91. The reliability index and cultural adaptation of the dimensions utilized in analysis of Chinese language samples are properly.20,32
Management Beliefs Scale
It’s a 4-item scale that was revised by Marsh et al.33 The exercise self-concept represents an individual’s beliefs in management over common bodily exercise. Members rated every merchandise (eg, I do bodily lively issues a minimum of thrice per week) on a 5-point scale starting from 1= strongly disagree to five=strongly agree. Greater scores point out greater ranges of management beliefs. A confirmatory issue evaluation (CFA) yielded acceptable match indicators (NFI=1.0, GFI=1.0, CFI=1.0, RMSEA=0.04) of Management Beliefs Scale on this examine. Cronbach’s alpha was 0.84. The reliability index and cultural adaptation of the dimensions utilized in analysis of Chinese language samples are properly.34,35
Process
To adjust to the COVID-19 prevention and management coverage and to attenuate face-to-face contact, we distributed and picked up questionnaires by means of Questionnaire Star (on-line knowledge assortment software program in China) from October 10 to twenty, 2022. The questionnaire clearly said that every one contributors have been assured that the solutions have been confidential. At any time, contributors had the choice to say no. All contributors gave knowledgeable consent earlier than knowledge assortment. Participation was voluntary and unpaid.
Statistical Evaluation
Assessments of normality revealed that the examine variables confirmed no important deviation from normality (ie, Skewness < |3.0| and Kurtosis < |10.0|).36 Descriptive statistics have been first calculated. PROCESS Fashions 4 and 15 macro for SPSS have been used to check the mediation and moderated mediation fashions with 5000 random pattern bootstrapping confidence intervals (CIs).37 All variables have been standardized earlier than being analyzed.
Outcomes
Preliminary Analyses
As proven in Desk 1. FAUI was positively correlated with subjective train expertise, train adherence and management beliefs. Subjective train expertise was positively correlated with train adherence and management beliefs. Train adherence was positively correlated with management beliefs. Due to this fact, Speculation 1 was supported.
|
Desk 1 Descriptive Statistics and Correlations Amongst Variables
|
Testing for Mediation Impact
We used Mannequin 4 of the SPSS macro PROCESS to check speculation 2. The regression outcomes for testing mediation are reported after controlling covariates in Desk 2. Outcomes indicated that FAUI was positively associated to subjective train expertise (β= 0.22, p < 0.01, 95% CI [0.17, 0.27]) and train adherence (β= 0.46, p < 0.01, 95% CI [0.41, 0.51]). The residual direct impact of FAUI on train adherence remained optimistic (β= 0.36, p < 0.01, 95% CI [0.32, 0.41]). These outcomes present that subjective train expertise partially mediated the affiliation between FAUI and train adherence (oblique impact = 0.10, SE = 0.01, 95% CI [0.07, 0.12]), and the mediation impact accounted for 21.74% of the full impact of FAUI on train adherence. Due to this fact, Speculation 2 was supported.
|
Desk 2 Linear Regression Fashions
|
Moderated Mediation Impact Evaluation
We used mannequin 15 in SPSS macro PROCESS to check speculation 3. The outcomes are introduced in Desk 2. The moderated mediation mannequin confirmed that FAUI was positively related to train adherence (β= 0.29, p < 0.01, 95% CI [0.25, 0.34]), whereas subjective train expertise was positively related to train adherence (β= 0.34, p < 0.01, 95% CI [0.29, 0.38]). Moreover, the predictive results of the interplay of FAUI and management beliefs (β=−0.08, p < 0.01, 95% CI [−0.12, −0.04]) was important, in addition to the interplay of subjective train expertise and management beliefs for train adherence (β= 0.08, p < 0.01, 95% CI [0.05, 0.12]). These outcomes indicated that management beliefs may average the associations between FAUI and train adherence, in addition to the associations between subjective train expertise and train adherence. Due to this fact, Speculation 3 was supported. The interplay impact is visually plotted in Determine 2. Easy slope checks confirmed that for school college students with low management beliefs, FAUI considerably predicted train adherence, beasy = 0.38, t = 12.38, p < 0.01. Nonetheless, for school college students with excessive management beliefs, FAUI considerably predicted train adherence however a lot weaker, beasy =0.21, t = 8.62, p < 0.01, indicating a weakening impact of management beliefs. Lastly, the interplay impact is visually plotted in Determine 3. Easy slope checks confirmed that subjective train expertise considerably predicted train adherence in high-level management beliefs and low-level management beliefs, however the predictive operate of subjective train expertise on train adherence was stronger for school college students with excessive ranges of management beliefs (beasy = 0.42, t = 15.17, p < 0.01) than for school college students with low ranges of management beliefs (beasy = 0.25, t = 9.40, p < 0.01), indicating an enhancing impact of management beliefs.
|
Determine 2 Interplay impact of FAUI with management perception.
Abbreviation: FAUI, health apps utilization depth.
|
|
Determine 3 Interplay impact of SEE with management perception.
Abbreviation: SEE, subjective train expertise.
|
The bias-corrected percentile bootstrap evaluation additional indicated that the oblique impact of FAUI on train adherence by means of subjective train expertise was moderated by management beliefs. Significantly, for school college students excessive in management beliefs, the oblique impact of FAUI on train adherence through subjective train expertise was important, β= 0.09, SE = 0.01, 95% CI [0.07, 0.12]. The oblique impact was additionally important for school college students with low management beliefs, however weaker, β= 0.06, SE = 0.01, 95% CI [0.04, 0.08].
Dialogue
This examine constructed a moderated mediation mannequin of the impact of FAUI on train adherence. The outcomes confirmed that FAUI was positively related to train adherence, and subjective train expertise performed a mediating position between FAUI and train adherence. Furthermore, management beliefs performed a moderating position between FAUI and train adherence in addition to between subjective train expertise and train adherence.
The Relationship Between FAUI and Train Adherence
The optimistic impression of FAUI on train adherence is perhaps largely attributed to the distinctive capabilities of particular app communities and present social media platforms.38 College students who use these social parts on health apps have a superb peer relationship of lively communication and mutual encouragement amongst them,39 as a substitute of the zero-sum competitors.40,41 In processes of train demonstration through media, they will really feel the care, assist and understanding from their friends on social media,40,42 and have a way of belonging to the neighborhood constituted by pupil customers of health apps.16,43 Primarily based on the idea of self-determination and social media concept, because the psychological wants of autonomy, belonging and competence are glad by such social media expertise and its accompanying neighborhood relationships,44,45 pupil customers have stronger pursuits in exercising. Therefore, their train behaviours may be extra sustained and frequent.44
The Mediating Position of Subjective Train Experiences
The mediation impact check confirmed that subjective train expertise mediated the connection between FAUI and train adherence. In keeping with environmental notion concept, individuals’s notion and understanding of their atmosphere (social community of health apps) internalize discriminative details about the behavioural atmosphere, which stimulates emotional experiences and guides behavioural practices.46,47 As a digital atmosphere, the interactive neighborhood of health apps gives a platform for school college students to specific their train expertise.40,44 Together with the deepening interplay, they launch and share extra emotional experiences that they dare not specific in actuality by means of the digital neighborhood.40,42 In the meantime, when these emotional experiences are validated and supported by different customers, they may engender optimistic feelings.48 This emotion may present important clues for exercising the cognitive system of reminiscence and stimulate the will to repeat the train to satiate the emotional expertise.49
The Moderating Position of Management Beliefs
This examine discovered that management beliefs moderated the connection between FAUI and train adherence. Particularly, the impact of FAUI on train adherence diminished as management beliefs elevated. The examine finds that rising the degrees of FAUI can promote faculty college students’ train adherence with low ranges of management beliefs. In keeping with the idea of self-determination.50 Encouragement and a focus from health apps largely mirror exterior motivational beliefs and management beliefs largely mirror inside motivational beliefs. Nonetheless, inside motivation with extra autonomy is the proximal determinant of particular person behaviour.50 It signifies from the aspect that the higher management beliefs of faculty college students result in extra autonomy and self-determination, adopted by extra sustained train.19,51
As well as, this examine discovered that management beliefs moderated the connection between subjective train expertise and faculty college students’ train adherence. Particularly, the impact of subjective train expertise on train adherence elevated with the enhancement of management beliefs. The examine finds that rising the degrees of subjective train expertise can promote faculty college students’ train adherence with excessive ranges of management beliefs. In keeping with the management emotion concept, bodily exercise self-concept is a vital indicator for evaluating management beliefs.21 Twin methods concept means that bodily exercise self-concept performs an vital position within the technique of contextual cues, automated affective evaluations, and bodily exercise associations.52 When a situational cue prompts a person’s bodily exercise self-concept, its associative reminiscence is well activated, and this activation is transmitted in a networked kind to intently related nodes (eg, attribute affective experiences) subsequently.53 As legitimate self-evaluations are generated, the probability of people taking part in train will increase.
Limitations
This examine additionally has some limitations that should be famous. Firstly, this examine used a cross-sectional design, which couldn’t present proof of causality. Secondly, this examine used solely self-report questionnaires as a supply of analysis knowledge for school college students, which can be topic to social desirability bias. Thirdly, this examine targeted on faculty college students, and extra analysis is required to discover whether or not the outcomes apply to different samples, reminiscent of adults and adolescents.
Regardless of these limitations, contributions from the present examine are each theoretical and sensible. From a theoretical perspective, this examine extends earlier research by emphasizing the mediating position of subjective train expertise, in addition to the moderating position of management beliefs. Our examine contributes to the analysis understanding of the affiliation between FAUI and faculty college students’ train adherence. From a sensible perspective, faculty departments ought to make use of health apps to advertise faculty college students’ participation in train and deal with stimulating the emotional interplay of communities to boost emotional experiences. Lastly, it also needs to take into account the person variations of scholars in management beliefs, and supply differentiated social community features for school customers with completely different management beliefs.
Conclusions
In abstract, FAUI was considerably and positively related to train adherence. This examine is vital in investigating how FAUI is said to train adherence of Chinese language faculty college students, even when additional replication and extension are wanted. Subjective train expertise mediates the connection between FAUI and train adherence. The deal with subjective train expertise gives extra nuances in linking FAUI to school college students’ train adherence. Moreover, this mediation mechanism is moderated by management beliefs. The outcomes recommend that faculty college students’ subjective train expertise and management beliefs could also be prime targets for prevention and intervention packages. Thus, this examine explored “how” and “when” FAUI might improve faculty college students’ train adherence.
Information Sharing Assertion
The authors will make all uncooked knowledge supporting their outcomes freely accessible, and the corresponding creator/s may be immediately contacted for additional inquiry.
Ethics Assertion
The examine was accredited by the Ethics Committee of Faculty of Bodily Training at Central China Regular College. Written knowledgeable consent was obtained from all contributors. The authors declared no potential battle of curiosity with the scholars as contributors. The rules outlined within the Declaration of Helsinki have been adopted.
Funding
This work was supported by the Schools Humanities and Social Science Basis of Jiangxi Province (No. SZZX22031 and No. DS202103145).
Disclosure
The authors report no battle of curiosity on this work.
References
1. Tan X, Liu X, Shao H. Wholesome China 2030: a imaginative and prescient for well being care. ValueHealth Reg. 2017;12:112–114. doi:10.1016/j.vhri.2017.04.001
2. Oaten M, Cheng Ok. Longitudinal good points in self‐regulation from common bodily train. Br J Well being Psychol. 2006;11(4):717–733. doi:10.1348/135910706X96481
3. Keays JJ, Allison KR. The consequences of standard average to vigorous bodily exercise on pupil outcomes: a assessment. Can J Public Well being. 1995;86(1):62–65. doi:10.2307/41991244
4. Wang S, Liu Y, Gu C. Influential mechanism of novice sport group coheslveness on particular person’s train adherence: a requlatory two-layer middleman mannequin. J Wuhan Inst Phys Educ. 2016;50:73–80. doi:10.3969/j.issn.1000-520X.2016.03.012
5. Dishman RK, Gettman LR. Psychobiologic influences on train adherence. J Sport Exerc Psychol. 1980;2(4):295–310. doi:10.1123/jsp.2.4.295
6. Kim SJ, Cho BH, Kim SJ, et al. The consequences of empowered motivation on train adherence and bodily health in faculty ladies. J Exerc Rehabil. 2013;9(2):278–285. doi:10.12965/jer.130011
7. Xiang M, Zhang Z, Kuwahara Ok. Influence of COVID-19 pandemic on youngsters and adolescents’ way of life conduct bigger than anticipated. Prog Cardiovasc Dis. 2020;63:531–532. doi:10.1016/j.pcad.2020.04.013
8. Melanson EL. The impact of train on non‐train bodily exercise and sedentary conduct in adults. Obes Rev. 2017;18:40–49. doi:10.1111/obr.12507
9. Harrington SC, Stack J, O’Dwyer V. Danger elements related to myopia in schoolchildren in Eire. Brit J Ophthalmol. 2019;103(12):1803–1809. doi:10.1136/bjophthalmol-2018-313325
10. Bensimhon DR, Kraus WE, Donahue MP. Weight problems and bodily exercise: a assessment. Am Coronary heart J. 2006;151(3):598–603. doi:10.1016/j.ahj.2005.03.005
11. Zhang M, Liao JW. The consequences of health app utilization on customers of working intention: an empirical examine primarily based on concept of deliberate conduct. J Commun Rev. 2018;71(2):85–98. doi:10.14086/J
12. Bondaronek P, Alkhaldi G, Slee A, et al. High quality of publicly accessible bodily exercise apps: assessment and content material evaluation. JMIR MHealth UHealth. 2018;6(3):e53. doi:10.2196/mhealth.9069
13. Ai Ali NM, Alkhateeb E, Jaradat D, et al. Social media use amongst college college students in Jordan and its impression on their dietary habits and bodily exercise. Cogent Educ. 2021;8(1):1993519. doi:10.1080/2331186X.2021.1993519
14. Petersen JM, Prichard I, Kemps E. A comparability of bodily exercise cell apps with and with out current web-based social networking platforms: systematic assessment. J Med Web Res. 2019;21(8):e12687. doi:10.2196/12687
15. Wang S, Zhang JM, Liu YP. The efficient issue examine of sports activities app promote public train adherence. J Fujian Regular Univ Natur. 2018;(6):88–99. doi:10.12046/j.issn.1000-5285.2018.06.012
16. Fu RF. Bodily media follow of health app customers and self-construction of bodily issues. Soc Sci Res. 2021;5:206–212.
17. Petersen JM, Kemps E, Lewis LK, et al. Psychological mechanisms underlying the connection between industrial bodily exercise app use and bodily exercise engagement. Psychol Sport Exerc. 2020;51:101719. doi:10.1016/j.psychsport.2020.101719
18. Zhu LQ, Dong BL. Subjective expertise, dedication and train adherence of undergraduates: a case examine of androgyny and undifferentiation. J Nanjing Sport Inst. 2016;30(4):82–90. doi:10.15877/j.cnki.nsic.2016.04.013
19. Dong BL, Mao LJ. Parental autonomy assist and adolescents train adherence: a number of mediation of management beliefs and train involvement. J TUS. 2018;33(1):44–51. doi:10.13297/j.cnki.issn1005-0000.2018.01.008
20. Tian Y, Shi Z. The connection between social assist and train adherence amongst Chinese language faculty college students throughout the COVID-19 Pandemic: the mediating results of subjective train expertise and dedication. Int J Environ Res Public Well being. 2022;19(18):11827. doi:10.3390/ijerph191811827
21. Garn AC, Simonton KL. Motivation beliefs, feelings, leisure time bodily exercise, and sedentary conduct in college college students: a full longitudinal mannequin of mediation. Psychol Sport Exerc. 2022;58:102077. doi:10.1016/j.psychsport.2021.102077
22. Bandura A. The self system in reciprocal determinism. Am Psychol. 1978;33(4):344. doi:10.1037/0003-066X.33.4.344
23. Jiang YZ, Wang CQ. The Impact of social community use on web altruistic conduct in adolescents: a moderated mediating mannequin. Chin J Clin Psychol. 2021;29(4):824–828. doi:10.16128/j.cnki.1005-3611.2021.04.032
24. Khan S. Does the data sharing self-efficacy average the connection between data accumulating conduct and social networking? UW J Handle Sci. 2021;5(1):27–43.
25. Ochsner KN, Phelps E. Rising views on emotion–cognition interactions. Developments Cogn Sci. 2007;11(8):317–318. doi:10.1016/j.tics.2007.06.008
26. Shah Z, Wei L, Ghani U. The usage of social networking websites and pro-environmental behaviors: a mediation and moderation mannequin. Int J Environ Res Public Well being. 2021;18(4):1805. doi:10.3390/ijerph18041805
27. Wang YQ. The Affect of Social Exclusion on Phubbing: The Mediating Position of Alienation and the Moderating Position of Self-Management. Jilin, China: Jilin College; 2022.
28. Ellison NB, Steinfield C, Lampe C. The advantages of Fb pals: social capital and faculty college students’ use of on-line social community websites. JCMC. 2007;12(4):1143–1168. doi:10.1111/j.1083-6101.2007.00367.x
29. Cheng P. The Relationship between loneliness and adolescents’ worry of lacking out: the mediating impact of social media use depth. Chin J Clin Psychol. 2021;29(1):187–190. doi:10.16128/j.cnki.1005-3611.2021.01.038
30. Solar XJ, Shuai L, Niu GF, et al. Social community web site use and despair in adolescents: mediating of upward social comparability. Chin J Clin Psychol. 2016;24(1):32–35. doi:10.16128/j.cnki.1005-3611.2016.01.007
31. Liu WN, Zhou CL, Solar J. Impact of out of doors sport motivation on sport adherence in adolescents-the mediating mechanism of sport environment. Chin Sport Sci. 2011;31(10):41–47. doi:10.16469/j.css.2011.10.006
32. Dong X. Analysis on the Interactive Affect of the Elements of Particular person, Household, and Faculty on Adolescents’ Bodily Train Habits. Shanghai: Shanghai College of Sport; 2021.
33. Marsh HW, Martin AJ, Jackson S. Introducing a brief model of the bodily self-description questionnaire: new methods, short-form evaluative standards, and purposes of issue evaluation. J Sport Exerc Psychol. 2010;32:438–482. doi:10.1123/jsep.32.4.438
34. Yang J. Introduction and revision of the physique self-description questionnaire (PSDQ). Shandong Sports activities Sci Tech. 2002;24(1):83–86. doi:10.14105/j.cnki.1009-9840.2002.01.038
35. Yan B, Fan F-M, Yang Q. The impact of dance/motion group intervention on bodily self-concept and shallowness of faculty college students. Chin J Clin Psychol. 2018;26(2):405–409. doi:10.16128/j.cnki.1005-3611.2018.02.042
36. Kline RB. Ideas and Follow of Structural Equation Modeling. New York: The Guilford Press; 2011.
37. Hayes AF. Introduction to Mediation, Moderation, and Conditional Course of Evaluation. Methodology within the Social Sciences. New York: The Guilford Press; 2013.
38. Petersen JM, Kemps E, Lewis LK, et al. Associations between industrial app use and bodily exercise: cross-sectional examine. J Med Web Res. 2020;22(6):e17152. doi:10.2196/17152
39. Laranjo L, Arguel A, Gallagher AM, et al. The affect of social networking websites on well being conduct change: a scientific assessment and meta-analysis. JAm Med Inform Assoc. 2015;22(1):243–256. doi:10.1136/amiajnl-2014-002841
40. Wang XC, Fu XJ. Health, sociability and emotion: interactive ritual chain of health app community neighborhood. J Shenyang Sport Univ. 2022;41(3):64–70. doi:10.12163/j.ssu.20211819
41. Klenk S, Reifegerste D, Renatus R. Gender variations in gratifications from health app use and implications for well being interventions. Mob Media Commun. 2017;5(2):178–193. doi:10.1177/2050157917691557
42. Ang CS, Talib MA, Tan KA, et al. Understanding computer-mediated communication attributes and life satisfaction from the views of makes use of and gratifications and self-determination. Comput Hum Behav. 2015;49:20–29. doi:10.1016/j.chb.2015.02.037
43. Cavallo DN, Brown JD, Tate DF, et al. The position of companionship, esteem, and informational assist in explaining bodily exercise amongst younger ladies in an internet social community intervention. J Behav Med. 2014;37:955–966. doi:10.1007/s10865-013-9534-5
44. Liu XC, Deng C, Yin PP. A examine on the affect of WeChat as an train social product on train conduct. Chin J Well being Stat. 2018;35(2):246–248.
45. Tong HL, Laranjo L. The usage of social options in cell well being interventions to advertise bodily exercise: a scientific assessment. NPJ Digit Med. 2018;1:43. doi:10.1038/s41746-018-0051-3
46. Bandura A. Human company in social cognitive concept. Am Psychol. 1989;44(9):1175–1184. doi:10.1037/0003-066X.44.9.1175
47. Zinchenko A, Conci M, Müller HJ, et al. Predictive visible search: position of environmental regularities within the studying of context cues. Atten Percept Psychophys. 2018;80:1096–1109. doi:10.3758/s13414-018-1500-4
48. Spotswood F, Shankar A, Piwek L. Altering emotional engagement with working by means of communal self‐monitoring: the implications of ‘teleoaffective shaping’ for public well being. Sociol Well being Ailing. 2020;42(4):772–788. doi:10.1111/1467-9566.13057
49. Whelan E, Clohessy T. How the social dimension of health apps can improve and undermine wellbeing: a twin mannequin of ardour perspective. Inform Technol Peopl. 2021;34(1):68–92. doi:10.1108/ITP-04-2019-0156
50. Zhang C-H. Streams and future instructions of analysis on work motivation primarily based on the self-determination concept. Adv Cogn Psychol Sci. 2019;27(8):1489–1506. doi:10.3724/SP.J.1042.2019.01489
51. Finne E, Englert C, Jekauc D. On the significance of self-control power for normal bodily exercise. Psychol Sport Exerc. 2019;43:165–171. doi:10.1016/j.psychsport.2019.02.007
52. Chu XY, Wang ZJ, Xiao HY. Twin system concept of bodily exercise: a reinforcement studying perspective. Adv Cogn Psychol Sci. 2020;28(8):1337–1350. doi:10.3724/SP.J.1042.2020.01337
53. Hofmann W, Friese M, Strack F. Impulse and self-control from a dual-systems perspective. Perspect Psychol Sci. 2009;4(2):162–176. doi:10.1111/j.1745-6924.2009.01116.x