The Mediation Role of Mobile Phone Addiction to the Relationship between Physical Activity and Autistic Traits among College Students
DOI:
https://doi.org/10.54097/vdt91e28Keywords:
College Students, Physical Activity, Autistic Traits, Mobile Phone Addiction, Mediating RoleAbstract
This study taking physical activity (PA) as the independent variable and autistic traits (AQ) as the dependent variable, we explored the relationship between the three in depth, further verified the mediating role of mobile phone addiction (MPA ) between the two , and constructed a hypothesized mediation model of mobile phone addiction in the relationship between physical activity and autistic traits.Method: This study takes the characteristics and correlations of physical activity (PA), autistic traits (AQ) and mobile phone addiction (MPA) as the research objects, follows the principle of convenience sampling , and uses questionnaire survey method and mathematical statistics method to conduct a survey on Zhanjiang City, Guangdong Province. Three universities conducted stratified sampling , and finally conducted a survey and research on 382 college students . The " International Physical Activity Scale -Short (IPAQ -SF)", "Autism Trait Scale(AQ)" and "Mobile Phone Addiction Tendency Scale(MPATS)" were used. An electronic questionnaire produced by "Questionnaire Star" was used to conduct an online survey on college students' physical activity, autistic traits and mobile phone addiction tendencies, etc., and SPSS24.0 was used for statistical processing and analysis.Result:1. The BMI difference between PAand AQ of college students was significant (p < 0.01). 2. There was a significant difference between the PA level and the level of college students with high and low AQ (p < 0.01). 3. The results of correlation analysis showed that there was a significant negative correlation between PA and AQ (r = -0.48**, Sig.000) and MPA (r=-0.22**, Sig.000), and a significant positive correlation between AQ and MPA (r=0.37**, Sig.000). 4. PA had a significant mediating effect on AQ through MPA, and MPA had a significant mediating effect between PA and AQ; the direct effect of PA on AQ was significant; the total effect of PA on AQ was significant.Conclusion:1.Physical activity can significantly and negatively predict autistic traits and mobile phone addiction; 2. Mobile phone addiction significantly and positively predicts autistic traits ;3. Mobile phone addiction ranks between physical activity and autistic traits has a significant mediating effect.
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References
Andonovski, ME, & Antonarakis, GS (2022). Autism spectrum disorder and dentoalveolar trauma: A systematic review and meta-analysis. Journal of Stomatology, Oral and Maxillofacial Surgery.
Bo Yang. (2022). The impact of loneliness, mobile phone addiction, and sleep disorders on college students' physical exercise: a moderated chain mediation model. Journal of Tianjin Institute of Physical Education (04), 467-474. doi:10.13297/j. cnki.issn1005-0000.2022.04.014.
Cao Li. (2022). The impact of social information on conflict adaptation of individuals with high autism traits (Master's thesis, Sichuan Normal University). https://kns.cnki.net/ KCMS/detail/detail.aspx?dbname=CMFD202202&filename =1022034305.nh.
Cao Xinyang, Yang Jingjing, Huang Yuqin, Xia Yu, Li Jiahui, Li Ya & Zuo Manfang. (2022). Analysis of the current situation and influencing factors of overweight and obesity among college students. Agricultural Reclamation Medicine (04), 347-350.
Cao Yunfei, Li Yunxiao & Wei Qing. (2023). Investigation and study on the relationship between loneliness and mobile phone addiction among college students. Science Lovers (03), 8-11.
Chen Gao & Zhang Huan. (2021). The impact of mobile phone addiction on college students’ physical activity in school: the moderation of interpersonal distress. China Sports Science and Technology (12), 75-81. doi:10.16470/j.csst.2019146.
Demenech, LM, Domingues, MR, Muller, RM, Levien, VR, & Dumith, SC (2023). Internet addiction and depressive symptoms: a dose-response effect mediated by levels of physical activity. Trends in Psychiatry and Psychotherapy, 45.
Demizu, Y., Matsumoto, J., Yasuda, Y., Ito, S., Miura, K., Yamamori, H., Fujimoto, M., Hasegawa, N., Ishimaru, K., & Hashimoto, R. (2022). Relationship between autistic traits and social functioning in healthy individuals. Neuropsychopharmacology Reports, 42(2), 226-229.
Deng Ling, Lai Yuanyuan & Cui Yanhui. (2023). Research on the relationship between mobile phone addiction tendency and loneliness among Hunan college students under the new situation. Scientific Consulting (Education and Research) (03), 24-27.
English,MC, Gignac, GE, Visser, TA, Whitehouse, AJ, Enns, JT, & Maybery, MT (2021). The Comprehensive Autistic Trait Inventory (CATI): Development and validation of a new measure of autistic traits in the general population.
Fritsche, E., Grandjean, P., Crofton, KM, Aschner, M., Goldberg, A., Heinonen, T., ... & Bal-Price, A. (2018). Consensus statement on the need for innovation , transition and implementation of developmental neurotoxicity (DNT) testing for regulatory purposes. Toxicology and applied pharmacology, 354, 3-6.Molecular Autism, 12(1),12-37.
Galle, SA, Deijen, JB, Milders, MV, De Greef, MH, Scherder, EJ, van Duijn, CM, & Drent, ML (2023). The effects of a moderate physical activity intervention on physical fitness and cognition in healthy elderly with low levels of physical activity: a randomized controlled trial. Alzheimer's Research & Therapy, 15(1), 1-23.
Gong, Y., Yang, H., Bai, X., Wang, Y., & An, J. (2023). The Relationship between Physical Exercise and Smartphone Addiction among Chinese College Students: The Mediating Effect of Core Self-Evaluation . Behavioral Sciences, 13(8), 647.
Gavurova, B., Ivankova, V., Rigelsky, M., & Mudarri, T. (2022). Internet addiction in socio-demographic, academic, and psychological profile of college students during the COVID-19 pandemic in the Czech Republic and Slovakia. Frontiers in Public Health, 10, 944085.
Gavurova, B., Khouri, S., Ivankova, V., Rigelsky, M., & Mudarri, T. (2022). Internet Addiction, Symptoms of Anxiety, Depressive Symptoms, Stress Among Higher Education Students During the COVID-19 Pandemic . Frontiers in public health, 10, 893845. https://doi.org/10.3389/fpubh.2022.893845
Ge Hongxin. (2020). The impact of sociality on emotional processing and its cognitive neural mechanism in individuals with autistic traits (Master's thesis, Chongqing Normal University). https://kns.cnki.net/KCMS/detail/ detail .aspx? dbname=CMFD202201&filename=1020648018.nh
Gong, Y., Yang, H., Bai, X., Wang, Y., & An, J. (2023). The Relationship between Physical Exercise and Smartphone Addiction among Chinese College Students: The Mediating Effect of Core Self-Evaluation . Behavioral Sciences, 13(8), 647.
Han, Y., Qin, G., Han, S., Ke, Y., Meng, S., Tong, W., ... & Shi, W. (2023). Effect of Mobile Phone Addiction on Physical Exercise in University Students: Moderating Effect of Peer Relationships. International Journal of Environmental Research and Public Health, 20(3), 2685.
Hauptman, M., Stierman, B., & Woolf, AD (2019). Children with autism spectrum disorder and lead poisoning: Diagnostic challenges and management complexities. Clinical pediatrics, 58(6), 605-612.
Hou Lulu, Li Xiujun & Shi Wendian. (2021). The predictive effect of autistic traits on social anxiety symptoms: the mediating role of emotion regulation. (eds.) Abstracts of the 23rd National Psychology Academic Conference (Part 1) (pp .843-844).
Hu Fangfang, Yang Yongyong & Shi Wendian. (2019). The impact of autistic traits on friendship quality among college students: the mediating role of emotion regulation strategies. Psychological Research (06), 556-563.
Hu Yan, Fan Yinguang, Wan Yuhui, Su Puyu & Ye Dongqing. (2022). Research on the revision of the simplified version of the Self-Assessment Questionnaire for Autistic Traits in Adolescents. Chinese Journal of Disease Control (12), 1445-1449+1472. doi:10.16462/j .cnki.zhjbkz.2022.12.014.
Huang Bowen. (2022). Characteristics and neural mechanisms of deception in individuals with high subthreshold autistic traits (Master's thesis, Shanghai Normal University). https://kns.cnki. net/KCMS/detail/detail.aspx?dbname= CMFD202202& filename=1022483406.nh.
Huo Chao. (2021). The impact of autistic traits on auditory empathy and its cognitive neural mechanism (Master's thesis, Chongqing Normal University). https://kns.cnki.net/KCMS/ detail/detail.aspx? dbname=CMFD202202&filename=10217 62702.nh.
Huo Jiazuo. (2022). Visual attention bias towards angry emotional faces in individuals with high autistic traits (Master's thesis, Central China Normal University). https://kns.cnki.net/ KCMS/detail/detail.aspx?dbname =CMFD202301& filename=1022092005.nh.
Jiang Yixin & Song Yongning. (2022). The emotional valence effect of multidimensional empathy disorder in people with high autistic traits. (eds.) Abstracts of the 24th National Psychology Academic Conference (pp.963-964 ).
Jiao Peihao, Gao Yuan, Fu Yushu, Mei Qingkang, Xie Haixin & Li Yuhang. (2023). Body posture control ability of college students with different physical activity levels. Hubei Sports Science and Technology (04), 363-369.
Kuang Qiong. (2022). The impact of smartphone addiction on college students’ creativity: the mediating role of cognitive flexibility and creative self-efficacy (Master’s thesis, Shandong Normal University). https://kns.cnki.net/ KCMS/detail/detail. aspx?dbname=CMFD202301&filename=1022064331.nh.
Latifeh, Y., Alkhatib, Y., Hmidouch, M., Swed, S., Hafez, W., Sawaf, B., & Rakab, A. (2022). Prevalence of internet addiction among Syrian undergraduate medical students. Medicine , 101(49).
Li Jiajian. (2023). The impact of college students’ autistic traits on time distance perception: the moderating role of time distance adaptation (Master’s thesis, Minnan Normal University). https://kns.cnki.net/KCMS/detail/detail.aspx? dbname=CMFDTEMP&filename=1023540705.nh.
Li Jieting. (2022). The relationship between autistic traits and online social preferences among junior high school students: the mediating role of social withdrawal and the moderating role of alexithymia (Master's thesis, Guangzhou University). http://kns--cnki--net--https.cnki.mdjsf.utuvpn.utuedu.com: 9000/KCMS/detail/detail.aspx?dbname=CMFD202202&filename=1022518323.nh.
Zhou Minghui. (2022). The relationship between autistic traits and prosocial behavior: the mediating role of cognitive reappraisal (Master's thesis, Minnan Normal University). https://kns.cnki.net/KCMS/detail/detail. aspx?dbname= CMFD202301&filename=1022573549.nh.
Zhou, J., & Bai, Z. (2023). Brief moderate-intensity aerobic exercise improves the executive function of Chinese undergraduates regardless of mobile phone addiction: Evidence from the antisaccade task. Frontiers in Psychology, 14, 849442.
Zhou, J., & Wang, L. (2022). Differences in the effects of reading and aerobic exercise interventions on inhibitory control of college students with Mobile phone addiction. Frontiers in Psychiatry, 13, 797780.
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