برازش روابط علّی- ساختاری خودکارآمدی و خود تنظیمی با اعتیاد به اینترنت با میانجی گری کیفیت زندگی در نوجوانان شهر تهران
محورهای موضوعی : تکتونواستراتیگرافیملیحه احمدی 1 , مرتضی عندلیب کورایم 2 , الهام ضرقامی 3
1 - کارشناس ارشد روان شناسی دانشگاه آزاد اسلامی، واحد ورامین - پیشوا، ورامین
2 - استادیار گروه روان شناسی دانشگاه آزاد اسلامی، واحد ورامین - پیشوا، ورامین، ایران .
3 - استادیار گروه روان شناسی دانشگاه آزاد اسلامی، واحد ورامین - پیشوا، ورامین، ایران .
کلید واژه: کیفیت زندگی, معادلات ساختاری, اعتیاد به اینترنت, خود کارآمدی, خودتنظیمی,
چکیده مقاله :
مقدمه: پژوهش حاضر با هدف بررسی برازش روابط علی- ساختاری خودکارآمدی و خودتنظیمی با اعتیاد به اینترنت با واسطه گری کیفیت زندگی در بین نوجوانان شهر تهران انجام شده است.
روش : طرح پژوهشی از نوع توصیفی- همبستگی گذشته نگر می باشد. از بین نوجوانان شهر تهران تعداد 314 نوجوان با استفاده از روش نمونه گیری در دسترس انتخاب شدند. داده ها با استفاده از پرسشنامه اعتیاد به اینترنت یانگ، پرسشنامه کیفیت زندگی36 عبارتی واروشربون، پرسشنامه خودتنظیمی بوفارد و پرسشنامه خودکارآمدی کودکان و نوجوانان موریس گردآوری شد. داده‌ها با استفاده از روش مدل سازی معادلات ساختاری در نسخه 24 نرم افزار AMOS-Graphicتجزیه و تحلیل شد.
یافته ها : کلیه ی متغیرهای پژوهش به جز خودتنظیمی رابطه منفی معناداری با اعتیاد به اینترنت داشتند. ضرایب مسیر حاکی از برازش مناسب مدل بود که در آن هم کیفیت زندگی (به صورت مستقیم) و هم خودکارآمدی (به صورت غیر مستقیم با واسطه کیفیت زندگی) اعتیاد به اینترنت را پیش‌بینی کردند. مسیرهای مستقیم کیفیت زندگی با اعتیاد به اینترنت، خود تنظیمی با خودکارآمدی، در سـطح معنی داری (01/0α<) و خود کارآمدی با کیفیت زندگی، در سـطح معنی داری (05/0α<) معنی دار است. نتایج برای مسیرهای مستقیم خود کارآمدی با اعتیاد به اینترنت، خود تنظیمی با اعتیاد به اینترنت و خود تنظیمی با کیفیت زندگی معنی دار نبود (05/α>). همچنین اثر غیر مستقیم خود کارآمدی بر اعتیاد اینترنتی با میانجی گری کیفیت زندگی تأیید شد (05/0α< ) و اثر غیر مستقیم خود تنظیمی بر اعتیاد اینترنتی با میانجی گری کیفیت زندگی رد شد (05/0α> ).
Abstract
Introduction: The present study was conducted with the aim of examining the causal-structural relationships of self-efficacy and self-regulation with Internet addiction, with the mediation of quality of life among teenagers in Tehran.
Materials and Methods: The research design is descriptive-retrospective correlation. A total of 314 teenagers were selected from the teenagers of Tehran city using available sampling method. The data were collected using Young's Internet Addiction Questionnaire, Warosherbon's 36-item Quality of Life Questionnaire, Beaufard's Self-Regulation Questionnaire, and the Self-Efficacy Questionnaire of Mauritian Children and Adolescents. The data were analyzed using the structural equation modeling method in AMOS-Graphic software version 24.
Result: All research variables except self-regulation had a significant negative relationship with Internet addiction. The path coefficients indicated the appropriate fit of the model in which both quality of life (directly) and self-efficacy (indirectly through quality of life) predicted Internet addiction. The direct paths of quality of life with Internet addiction, self-regulation with self-efficacy are significant at the level of significance (α<0.01) and self-efficacy with quality of life are significant at the level of significance (α<0.05). The results for the direct paths of self-efficacy with Internet addiction, self-regulation with Internet addiction and self-regulation with quality of life were not significant (α>05). Also, the indirect effect of self-efficacy on Internet addiction through the mediation of quality of life was confirmed (α<0.05) and the indirect effect of self-regulation on Internet addiction through the mediation of quality of life was rejected (α>0.05).
Conclusion: Quality of life and self-efficacy play a key role
References
1- Chen H-C, Wang J-Y, Lin Y-L, Yang S-Y. Association of internet addiction with family functionality, depression, self-efficacy and self-esteem among early adolescents. International Journal of Environmental Research and Public Health. 2020;17(23):8820. [DOI: 10.3390/ijerph17238820] [PMID: 33260988; PMCID: PMC7731192].
2- Humphreys L, Von Pape T, Karnowski V. Evolving mobile media: Uses and conceptualizations of the mobile internet. Journal of computer-mediated communication. 2013;18(4):491-507. doi:10.1111/jcc4.12019.
3- Tran BX, Huong LT, Hinh ND, Nguyen LH, Le BN, Nong VM, et al. A study on the influence of internet addiction and online interpersonal influences on health-related quality of life in young Vietnamese. BMC public health. 2017;17(1):1-8 [DOI: 10.1186/s12889-016-3983-z] [PMID: 28143462; PMCID: PMC5282902].
4- Ho RC, Zhang MW, Tsang TY, Toh AH, Pan F, Lu Y, et al. The association between internet addiction and psychiatric co-morbidity: a meta-analysis. BMC psychiatry. 2014;14(1):1-10. [DOI: 10.1186/1471-244X-14-183] [PMID: 24947851; PMCID: PMC4082374].
5- Rastgoo F, Babakhani N. The relationship between emotional self-regulation and quality of life in twin adolescents and young adults. Journal of Fundamentals of Mental Health. 2016;18(Special Issue):465-70. [DOI: 10.22038/jfmh.2016.8026].
6- Sawyer SM, Azzopardi PS, Wickremarathne D, Patton GC. The age of adolescence… and young adulthood–Authors' reply. The Lancet Child & Adolescent Health. 2018;2(4):e7. [DOI: 10.1016/S2352-4642(18)30022-1. Epub 2018 Jan 30] [PMID: 30169257].
7- Machimbarrena JM, González-Cabrera J, Ortega-Barón J, Beranuy-Fargues M, Álvarez-Bardón A, Tejero B. Profiles of problematic internet use and its impact on adolescents’ health-related quality of life. International journal of environmental research and public health. 2019;16(20):3877. [doi: 10.3390/ijerph16203877] [PMID: 31614899; PMCID: PMC6843246].
8- Haverlag D. Compulsief gebruik van sociale media op de smartphone 2013.
9- Yam C-W, Pakpour AH, Griffiths MD, Yau W-Y, Lo C-LM, Ng JM, et al. Psychometric testing of three Chinese online-related addictive behavior instruments among Hong Kong university students .Psychiatric quarterly. 2019;90(1):117-28. [DOI: 10.1007/s11126-018-9610-7]. [PMID: 30328020].
10- Lin C-Y, Imani V, Broström A, Nilsen P, Fung XC, Griffiths MD, et al.
Smartphone application-based addiction among Iranian adolescents: A psychometric study. International Journal of Mental Health and Addiction. 2019;17(4):765-80. [DOI: 10.1007/s11469-018-0026-2].
11- Mak K-K, Lai C-M, Watanabe H, Kim D-I, Bahar N, Ramos M, et al. Epidemiology of internet behaviors and addiction among adolescents in six Asian countries. Cyberpsychology, Behavior, and Social Networking. 2014;17(11):720-8. [DOI: 10.1089/cyber.2014.0139].
12- Zhang MW, Ho R. Smartphone applications for immersive virtual reality therapy for internet addiction and internet gaming disorder. Technology and Health Care. 2017;25(2):367-72.[ doi: 10.3233/THC-161282]. [PMID: 27911347].
13- Do HN, Onyango B, Prakash R, Tran BX, Nguyen QN, Nguyen LH, et al. Susceptibility and perceptions of excessive internet use impact on health among Vietnamese youths. Addictive Behaviors. 2020;101:105898.[ DOI: 10.1016/j.addbeh.2019.01.043. Epub 2019 Jan 31]. [PMID: 30732860].
14- Yang S-Y, Chen M-D, Huang Y-C, Lin C-Y, Chang J-H. Association between smartphone use and musculoskeletal discomfort in adolescent students. Journal of community health. 2017;42(3):423-30.[ DOI: 10.1007/s10900-016-0271-x]. [PMID: 27734246].
15- Ebrahimi S, Khammarnia M, Porvazn N, Karamipur M, Jamshidzahi H, Setoodezadeh F, et al. The prevalence of internet addiction and its relationship with quality of sleep and quality of life among students of zahedan university of medical Sciences. Journal of School of Public Health and Institute of Public Health Research. 2018;16(2):126-37.
16- Bianchi A, Phillips JG. Psychological predictors of problem mobile phone use. Cyberpsychology & behavior. 2005;8(1):39-51.[DOI: 10.1089/cpb.2005.8.39. PMID: 15738692].
17- Hamidi M, Jalali Farhani M, Rajabi H, Youssef Jamal F. Clarifying the relationship between social skills, lifestyle self-efficacy and internet addiction in high school sports students of Ilam province. Scientific Journal of Ilam University of Medical Sciences. 2016;26 ( 1 .)
18- Farzaneh SE, Falahati Shahab Aldini R. Investigating social factors affecting the trend towards virtual social networks. Two quarterly journals of participation and social development. 2014;1 ( 1 .)
19- Baradaran M. Internet addiction in students: the role of self-regulation, problem solving and interpersonal problems. Development of psychology. 2018;8(7):147-52.
20- Bandura A. Self-efficacy mechanism in human agency. American psychologist. 1982;37.122:)2(
[doi:10.1037/0003-066X.37.2.122]
21- Bandura A, Barbaranelli C, Caprara GV, Pastorelli C. Multifaceted impact of self‐efficacy beliefs on academic functioning. Child development. 1996;67(3):1206-22. [PMID: 8706518].
22- Luszczynska A, Schwarzer R. Social cognitive theory. Fac Health Sci Publ. 2015 : 225 - 51 .
23- Elson H, Herganhan MBR. An introduction to learning theories. Saif, Ali Akbar. Tehran: Doran Publishing House. 2018.
24- Shovaichi J. The Effectiveness of Reality Therapy Training on Self-Care and Self-Regulation of Men with Physical and Mental Disabilities. Journal of Psychological Achievements. 2020;27(1):247-64.[ DOI: 10.22055/psy.2020.29231.2321].
احمدی و همکاران
50 35-52:)52( 14 ؛ فصلنامه علمی – پژوهشی روش ها و مدل های روانشناختی: 1402
25- Khosh-Ravesh V, Gorji Nashli S, Ghasemi S. Investigating the relationship between quality of life and Internet addiction in female students. The fourth scientific conference on new approaches in humanities in Iran Ilam. 2018.
26- Pocnet C, Dupuis M, Congard A, Jopp D. Personality and its links to quality of life: Mediating effects of emotion regulation and self-efficacy beliefs. Motivation and Emotion. 2017;41(2):196-208 .[ DOI 10.1007/s11031-017-9603-0].
27- Rapp M, Eisemann N, Arnaud C, Ehlinger V, Fauconnier J, Marcelli M, et al. Predictors of parent-reported quality of life of adolescents with cerebral palsy: A longitudinal study. Research in Developmental Disabilities. 2017;62:259-270.[ doi: 10.1016/j.ridd.2016.12.005. Epub 2017 Jan 19]. [PMID: 28110883].
28- REZAEI S, FARHADI H. EFFECTIVENESS OF QUALITY OF LIFE THERAPY ON INTERNET ADDICTION, LONLINESS, AND SELFE-STEEM OF FEMALE SECOND GRADE HIGH SCHOOL STUDENTS. 2018.
[doi:10.30486/jsrp.2018.540477]
29- Janabadi H. Determining the relationship between loneliness and social support with mobile phone addiction in students. School psychology. 2015;5(4):7-30.
30- Mascia ML, Agus M, Penna MP. Emotional intelligence, self-regulation, smartphone addiction: which relationship with student well-being and quality of life? Frontiers in psychology. 2020;11:375.[DOI:10.3389/fpsyg.2020.00375.]
31- Muris P. A brief questionnaire for measuring self-efficacy in youths. Journal of Psychopathology and behavioral Assessment. 2001;23(3):145-9.[ DOI:10.1023/A:1010961119608]
32- Muris P. Relationships between self-efficacy and symptoms of anxiety disorders and depression in a normal adolescent sample. Personality and individual differences. 2002;32(2):337-48.[ DOI:10.1016/S0191-8869(01)00027-7].
33- Tahmasian K. Validation, reliability and self-efficacy questionnaire of children and adolescents in Tehran. Applied psychology. 2008;1(4):373-90.
34- Gholami Y. Investigating the relationship between goal orientation and self-directed learning in male and female third-year high school students in Tehran. Master's thesis, Tarbiat Moalem University. 2000.
35- Talebzade Nobarian M, Abolghasemi M, Ashurinejad F, Mousavi SH. Investigating the structural relationships of self-concept, self-regulated learning and academic success of students. Journal of Psychological Methods and Models. 2019;1(4):59-72.
36- Zamani BI, Saidi Z, Abedi A. The effectiveness and stability of the impact of using multimedia on self-regulation and academic performance in the first year of high school mathematics. New educational approaches. 2011;2(14):1-22.
37- Montazeri A, Goshtasebi A, Vahdaninia M, Gandek B. The Short Form Health Survey (SF-36): translation and validation study of the Iranian version. Quality of life research. 2005;14(3):875-82.
38- Danai M, Rouhani AA, Sajadi A, Momeni M. Examining the prevalence and causes of internet addiction in interns and interns of Kerman University of Medical Sciences in 2017. The dawn of health. 2019;19(5):12-20.
39- Razmposh m, Ramezani K, Mardpour A, Kolivand PH. The role of self-efficacy and resilience in nurses' quality of life. Shafai Khatam Journal of Neuroscience. 2017;7(1):34-42.
40- Khezrlou H, Akbari M, Jadidi H, Sinaii B. Investigating the effectiveness of the model based on pain self-efficacy on the quality of life of cancer patients. Health and care magazine. 2018;21(2):108-16.
41- Jafarigiv S, Peyman N, Esmaily H, Tajfard M. Prediction of the Quality of
Life of Menopausal Women Based on Health Literacy and Self-Efficacy. Journal of Education and Community Health. 2020;7(1):29-36.
42- Solhi M, Brarpur F, Hosseini F. The relationship between self-efficacy and quality of life in the elderly living in Kahrizak. Geriatric Nursing Quarterly. 2017;4 ( 4 .)
43- Sadeghi Afjeh Z. Modeling passion for education based on school climate and quality of life for students with self-regulating mediation two-parent students. Iranian Journal of Educational Society. 2021;14(1):101-10.
44- Yavarizadeh P, Razanaseb M, Riahi Mehr F, Afarakhte EY. Strategies to prevent violent behavior in children and adolescents. the second international conference of psychology, educational sciences and social studies, Hamadan. 2018
45- Fayand J, Akbari M, Moradi O, Karimi Q. Investigating the Effectiveness of Resiliency Pattern on Improving the Quality of Life of Multiple Sclerosis Patients: A Follow up Study. Iranian Journal of Rehabilitation Research in Nursing (IJRN). 2020;6(3):51-104.
46- Tonapa SI, Liu Y, Mulyadi M, Lee B-O. Changes in self-regulation and the predictors of quality of life 3 months after extremity injury: a prospective study. Clinical nursing research. 2023 Mar;32(3):518-526. [doi: 10.1177/10547738211058980. Epub 2021 Nov 21]. [PMID: 34802298].
47- S-L, Tsai J-M. A correlation study of fear of cancer recurrence, illness representation, self-regulation, and quality of life among gynecologic cancer survivors in Taiwan. Taiwanese Journal of Obstetrics and Gynecology. 2018;57(6):846 - 52 . .[ doi: 10.1016/j.tjog.2018.10.014]. [PMID: 30545539].
48- Craparo G, Messina R, Severino S, Fasciano S, Cannella V, Gori A, et al. The relationships between self-efficacy, internet addiction and shame. Indian journal of psychological medicine. 2014;36(3):304-7. [DOI: 10.4103/0253-7176.135386]. [PMID: 25035557; PMCID: PMC4100419].
49- Alrekebat AF. Internet Addiction and
Its Relationship with Self-Efficacy Level among Al-Hussein Bin Talal University Students. Journal of Education and Practice. 2016;7(32):123-31.
50- Tavakoli N, Jomehri F, Farrokhi N. The relationship between attachment styles and social self-efficacy with internet addiction in Iranian students. Bulletin of Environment, Pharmacology and Life Sciences. 2014;3(2):302-7.
51- Dakheli F, Bahrainian AM, Farahani HE. The role of social skills in medical students' internet addiction with the mediation of self-efficacy variable. Nursing education. 2019;9(6):1-10.
52- Berte DZ, Mahamid FA, Affouneh S. Internet addiction and perceived self-efficacy among university students. International Journal of Mental Health and Addiction. 2021;19(1):162-176.[DOI:10.1007/s11469-019-00160-8].
53- Atroszko PA, Balcerowska JM, Bereznowski P, Biernatowska A, Pallesen S, Andreassen CS. Facebook addiction among Polish undergraduate students: Validity of measurement and relationship with personality and well-being. Computers in Human Behavior. 2018;85:329-338.[doi:10.1016/j.chb.2018.04.001].
54- Akbari Zardkhaneh S, Zandi S. Predicting university students' addiction admission based on their self-efficacy
and social support feelings. Knowledge & Research in Applied Psychology. 2017;17(2):36-44.
55- Vohs KD, Baumeister RF, Ciarocco NJ. Self-regulation and self-presentation: regulatory resource depletion impairs impression management and effortful self-presentation depletes regulatory resources. Journal of personality and social psychology. 2005;88(4):632-657 [doi: 10.1037/0022-3514.88.4.632]. [PMID: 15796665].
56- Basharpour S, Dashti n, Atadakht A. Comparison of self-regulation, self-expression and narcissism of addicted and non-addicted students to virtual social networks. Health and care magazine. 2015;18(3):247-257.
57- Gökçearslan Ş, Mumcu FK, Haşlaman T, Çevik YD. Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students. Computers in Human Behavior. 2016;63:639-49.[ doi:10.1016/j.chb.2016.05.091]
58- Asadi Majareh S, Moghtader L, Mousavi SM. The Effectiveness of Systematic Desensitization and Self-Regulating on Students' Internet Addiction. Quarterly Journal of Child Mental Health. 2021;8(1):97-109.
59- Ghadampour E, Mahdiani Z, Padervand H, Amraei B, Sore H. The predict addiction to cyberspace and tendency to high-risk behaviors based on emotional self-regulation in high school male students in Tehran. Educational Psychology. 2019;15(53):93-108.
60- Brettell CB, Hollifield JF. Introduction: Migration theory: Talking across disciplines. Migration theory: Routledge; 2014. p. 1-36.
[doi.org/10.4324/9781315814933]
61- Mam Sharifi P, Akbari Bojandi N, Asadi N. Developing a prediction model for Internet addiction based on quality of life and life satisfaction: the mediating role of stress coping strategies. Scientific Research Quarterly Journal of Psychological Sciences. 2019;19(89):541 - 51 .
62- Eshghi S, Farhadi H. The effectiveness of quality of life therapy on Internet addiction, procrastination and hypocrisy among students. Behavioral science research. 2016;15(2):232-8.
63- Cleary TJ, Zimmerman BJ. Self‐regulation empowerment program :A school‐based program to enhance self‐regulated and self‐motivated cycles of student learning. Psychology in the Schools. 2004;41(5):537-50.
[DOI:10.1002/pits.10177].
64- Lavasani MG, Mirhosseini FS, Hejazi E, Davoodi M. The effect of self-regulation learning strategies training on the academic motivation and self-efficacy. Procedia-Social and Behavioral Sciences. 2011;29:627-32.
65- Tavakolizadeh J, Ebrahimi-Qavam S. Effect of teaching of self-regulated learning strategies on attribution styles in students. 2011.
66- Suleiman Najjad A, Hosseini Nasab D. Interactive effect of teaching self-regulatory strategies and students' cognitive styles on math problem solving performance. Journal of Teaching and Learning Studies. 2012;4(2):81-115