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بررسی ویژگیهای روانسنجی نسخه فارسی سیاهه خودمراقبتی (SCI) در دانشجویان | ||
| روانشناسی سلامت | ||
| دوره 15، شماره 57، خرداد 1405، صفحه 161-180 اصل مقاله (1.41 M) | ||
| نوع مقاله: علمی- پژوهشی | ||
| شناسه دیجیتال (DOI): 10.30473/hpj.2026.74703.6255 | ||
| نویسندگان | ||
| طیبه غفاری اقدم1؛ افسانه طاهری* 2؛ نسرین باقری2 | ||
| 1گروه روانشناسی، واحد رودهن، دانشگاه آزاد اسلامی، رودهن، ایران. | ||
| 2گروه روانشناسی، واحد رودهن، دانشگاه آزاد اسلامی، رودهن، ایران | ||
| چکیده | ||
| مقدمه: هدف از پژوهش حاضر، بررسی ویژگیهای روانسنجی نسخه فارسی سیاهه خودمراقبتی و رابطه آن با اعتیاد به اینترنت و عزت نفس در دانشجویان بود. روش: روش پژوهش حاضر از لحاظ هدف کاربردی و از نظر روش توصیفی از نوع پیمایشی بود. جامعه آماری پژوهش دانشجویان کارشناسی مشغول به تحصیل در دانشگاه آزاد اسلامی واحد رودهن در زمستان سال 1403 بودند. حجم نمونه بر اساس مدل کلاین و با روش نمونهگیری هدفمند 300 نفر انتخاب شد. ابزار گردآوری دادههای پژوهش شامل سیاهه خودمراقبتی (SCI) لوسیانی و همکاران (2022)، آزمون اعتیاد به اینترنت (IAT) یانگ (1998) و مقیاس عزت نفس (RSEs) روزنبرگ (1989) بود. همسانی درونی (آلفای کرونباخ)، پایایی ترکیبی، ضریب امگا، روایی عاملی اکتشافی، تاییدی، ملاکی، روایی همگرا و واگرا، ضریب همبستگی پیرسون با نرم افزارهای SPSS نسخه 29 و AMOS نسخه 24 مورد بررسی قرار گرفت. یافتهها: نتایج نشان داد که مقیاس، ساختاری 3 عاملی با واریانس تبیین شده 49/89 درصد دارد. آلفای کرونباخ در دامنه 90/0 تا 96/0، پایایی ترکیبی در دامنه 79/0 تا 82/0 و ضریب امگا در دامنه 87/0 تا 89/0 بود. همچنین نتایج تحلیل عاملی تاییدی از تأیید ساختار 3 عاملی این مقیاس حکایت داشت (05/0=RMSEA، 96/0=CFI، 91/0=TLI و 04/0=SRMR). نتایج آزمون ضریب همبستگی پیرسون هم نشان دهنده همبستگی مثبت و معنادار بین عزت نفس (01/0>p، 53/0=r) و همبستگی منفی و معنادار بین اعتیاد به اینترنت (01/0>p، 63/0- =r) با خودمراقبتی بود که نشان دهنده روایی ملاکی (همزمان) این سیاهه است. نتیجهگیری: میتوان نتیجهگیری کرد که نسخه فارسی سیاهه خودمراقبتی از روایی و پایایی قابل قبولی برخوردار است و ساختار عاملی آن قابل اتکا است. استفاده از ابزار مناسب و روا برای شناسایی رفتارهای خودمراقبتی میتواند منجر به شناسایی زودهنگام رفتارهای خودمراقبتی ضعیف در دانشجویان شود و به طور بالقوه میتواند از آسیب قابل توجهی که رفتارهای خودمراقبتی ضعیف در دانشجویان ایجاد میشود، جلوگیری کند. این مقیاس کوتاه و مختصر، آزادانه در دسترس است و به راحتی قابل اجرا است و میتوان برای سایر بزرگسالان نیز استفاده کرد | ||
| کلیدواژهها | ||
| اعتیاد به اینترنت؛ پایایی؛ خودمراقبتی؛ روانسنجی؛ روایی؛ عزت نفس | ||
| عنوان مقاله [English] | ||
| Psychometric Properties of the Persian Version of the Self-Care Inventory in Students University | ||
| نویسندگان [English] | ||
| Tayebeh Ghafari Aghdam1؛ Afsaneh Taheri2؛ Nasrin Bagheri2 | ||
| 1Department of Psychology, Ro.C. Islamic Azad University, Roudehen, Iran | ||
| 2Department of Psychology, Ro.C. Islamic Azad University, Roudehen, Iran | ||
| چکیده [English] | ||
| Objective: Students with a wide spectrum of personal, social and educational obstacles are faced with a broad spectrum of personal, social and educational obstacles that influence their welfare or well-being; however, the general health of students in the university, especially to deal with obstacles in educational and educational environments, depends on their well-being and self-care behaviors. On the other hand, it can be said that ensuring healthy life and promoting well-being in all ages is one of the goals of sustainable development of the world health organization until 2030. A promising strategy to promote health for all and improve health outcomes is self-care, an individual-oriented approach that is based on human rights and equity in health. However, the world health organization emphasized the urgent need to better conceptualize self-care to support clinical and interventions. Self-care is important at all stages of life and health status to promote well-being, prevent disease, and improve health outcomes. Currently, there is a need to better conceptualize self-care in the general adult population and provide an instrument to measure self-care in this group. Therefore, the aim of this study was to psychometric properties of the persian version of the self-care inventory and its relationship with internet addiction and self-esteem in students University. Method: The method of the present research is applied in terms of its purpose and descriptive in terms of survey type, which is considered quantitative research. The statistical population of the study was students University of Islamic Azad University, Rodehen Tehran city in winter year 2025. The sample size was selected based on Klein's model and with subjectivw sampling of 300 students University to be a undergraduate. complete consent for the study and the right to withdraw from continuing research and lack of physical and psychological disorders were based on the students' self-report, lack of complete accountability to questions of questionnaires, lack of necessary information for participation in the research was the criteria of departure. Data collection tools include the self-care inventory (SCI) of Luciani and et al (2022), internet addiction test (IAT) of Young 1998) and Rosenberg self-esteem scale (RSEs) of Rosenberg (1989). The internal consistency, as well as the internal consistency (Cronbach's alpha), composite reliability, Omega coefficient, exploratory, confirmatory, criterion validity, convergent and divergent validity, and Pearson correlation coefficient were evaluated using the SPSS software version 29 and AMOS software version 24. Results: The results indicated that this scale had a one-factor structure with an explained variance of 89.49%. Cronbach's alpha was 0.90 to 0.96, composite reliability was 0.79 to 0.82, and Omega coefficient was 0.87 to 0.89. The results of the factor analysis confirmed the one-factor structure of this scale (RMSEA=0/05, GFI=0/96, TLI=0/91 and SRMR=0/04). In this study, the parameter estimation method used was the maximum likelihood (MLE) method. According to the results, the RMSEA index was 0.07, and the root mean square residual (SRMR) was 0.04; therefore, it can be concluded that the model has a very good fit with the data and is appropriate. Additionally, the 95% confidence interval around the RMSEA index is between 0.047 and 0.056, which indicates a favorable state of model fit. The results of the correlation test also showed the positive correlation of this scale with self-esteem (r=0/53, p<0/01) and negative correlation between internet addiction (r=-0/63, p<0/01) with self-care, which convergent validity of this instrument. Conclusion: This research aimed to psychometric properties of the persian version of the self-care inventory and its relationship with internet addiction and self-esteem in students University. It can be said that is one of the most important factors that is considered in the use of a scale. In this study, convergent, divergent and concurrent validity were used to construct validity of scale .The coordination of the factor structure of this scale with its theoretical structure, is considered as an indicator of construct validity for this scale. In this regard, it can be said that in the validity of the structure, factor analysis method is powerful and inevitable. In this study, the omega factor and omega ratio in the range of 0.87 to 0.89 were obtained which indicates that the persian version of self-care inventory with very high accuracy or reliability of self - care behaviors will measure .how self-esteem can affect the psychological and physical function of the person can be said that self - esteem will lead to better management of our lives and have a higher value to deal with these challenges. Therefore, students who have higher self-esteem could be better self-care because of their ability to cope with different problems. It is reasonable to say that self-care is positively correlated with sel -care in students. It could be said that the Persian version of the self-care inventory has acceptable validity and reliability and its factor structure is reliable. Since this study was conducted in Tehran, it is suggested that such a study be repeated in other cities due to cultural, ethnic, and religious differences. In summary, it can be said that the Persian version of the self-care inventory is promising as an effective screening tool for identifying self-care behaviors and measuring the level of self-care in students, which has not previously existed in Iran. Using an appropriate and valid tool to identify self-care behaviors can lead to the early identification of poor self-care behaviors in students and can potentially prevent significant harm caused by these behaviors. This short and concise scale is freely available, easy to administer, and can also be used for other adults. | ||
| کلیدواژهها [English] | ||
| Internet Addiction, Psychometric, Reliability, Self-Care, Self-Esteem, Validity | ||
| مراجع | ||
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Aldhmadi, B. K., Kumar, R., Perera, B., & Algarni, M. (2025). Examining factor structure and psychometric properties of Ethical Leadership Questionnaire with Healthcare Professionals in Saudi Arabia. Pakistan Journal of Medical Sciences, 41(1),101-106. https://doi.org/10.12669/pjms.41.1.10861 Auttama, N., Seangpraw, K., Ong-Artborirak, P., & Tonchoy, P. (2021). Factors associated with self-esteem, resilience, mental health, and psychological self-care among university students in Northern Thailand. Journal of Multidisciplinary Healthcare, 1213-1221. https://doi.org/10.2147/JMDH.S308076 Baghereifard, F., Kazemiyan Moghadam, K., Safarzadeh, S., & Bahari&lrm, F. (2024). The Effectiveness of Hope Therapy on Cognitive-Behavioral Avoidance and Self-Care Activities in Patients with Type 2 Diabetes. Health Psychology, 13 (50), 7-22. https://doi.org/10.30473/hpj.2024.66826.5733 (In Persian) Barber, S., Hayhoe, B., Richardson, S., Norton, J., Karki, M., & El-Osta, A. (2025). Drivers and barriers to promoting self-care in individuals living with multiple long-term health conditions: a cross-sectional online survey of health and care professionals. BMC Public Health, 25 (1), 884-901. https://doi.org/10.1186/s12889-025-21737-0 Basharpoor, S., & Ahmadi, S. (2024). The Role of Dysfunctional attitudes and emotion dysregulation in predicting the addictive use of the internet in adolescents by presenting an approach based on artificial neural network: A descriptive study. Journal of Rafsanjan University of Medical Sciences, 23 (2), 90-103. http://dx.doi.org/10.61186/jrums.23.2.90 (In Persian) Baumeister, R. F., Campbell, J. D., Krueger, J. I., & Vohs, K. D. (2003). Does high self-esteem cause better performance, interpersonal success, happiness, or healthier lifestyles?. Psychological Science in the Public Interest, 4 (1), 1-44. https://doi.org/10.1111/1529-1006.01431 Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988). An inventory for measuring clinical anxiety: Psychometrie properties. Journal of Consulting and Clinical Psychology, 56 (6), 893-897. https://psycnet.apa.org/doi/10.1037/0022-006X.56.6.893 Chavez-Yacolca, D. R., Castro-Champión, R. B., Cisneros-Gonzales, N. M., Cunza-Aranzábal, D. F., Morales-García, M., & Abanto-Ramírez, C. D. (2025). Relationship between academic procrastination and internet addiction in Peruvian university students: the mediating role of academic self-efficacy. Frontiers in Psychology, 15(1),1-10. https://doi.org/10.3389/fpsyg.2024.1454234 Chen, G., Gully, S. M., & Eden, D. (2001). Validation of a new general self-efficacy scale. Organizational Research methods, 4 (1), 62-83. https://doi.org/10.1177/109442810141004 Conner, K.M., & Davidson, J, R. (2003). Development of a new resilience scale. Depression and Anxiety, 18(1),76-82. https://doi.org/10.1002/da.10113 Costa, P. T., Jr., & McCrae, R. R. (2008). The Revised NEO Personality Inventory (NEO-PI-R). In G. J. Boyle, G. Matthews, & D. H. Saklofske (Eds.), The SAGE Handbook of Personality Theory and Assessment, Vol. 2. Personality Measurement and Testing (pp. 179–198). Sage Publications, Inc. https://doi.org/10.4135/9781849200479.n9 Costello, A. B., & Osborne, J. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10(1),1-10. https://openpublishing.library.umass.edu/pare/article/id/1650/ De Maria, M., Matarese, M., Strömberg, A., Ausili, D., Vellone, E., Jaarsma, T., ... & Barbaranelli, C. (2021). Cross-cultural assessment of the Self-Care of Chronic Illness Inventory: A psychometric evaluation. International journal of nursing studies, 116(1),1-10. https://doi.org/10.1016/j.ijnurstu.2019.103422 Diener, E. D., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49 (1), 71-75. https://doi.org/10.1207/s15327752jpa4901_13 Ergün, N., Özkan, Z., & Griffiths, M. D. (2025). Social media addiction and poor mental health: Examining the mediating roles of internet addiction and phubbing. Psychological Reports, 128(2),723-743. https://doi.org/10.1177/00332941231166609 Fairchild, R. M., & Tully, S. (2025). Evaluating the Impact of Self-Care Strategies Incorporated in Undergraduate and Graduate Nursing Curricula: A Systematic Review. Nurse Educator, 50 (1), 24-30. https://doi.org/10.1097/NNE.0000000000001690 Gratz, K. L., & Roemer, L. (2004). Multidimensional assessment of emotion regulation and dysregulation: Development, factor structure, and initial validation of the difficulties in emotion regulation scale. Journal of Psychopathology and Behavioral Assessment, 26(1),41-54. https://psycnet.apa.org/doi/10.1023/B:JOBA.0000007455.08539.94 Harris, S., Qummouh, R., & Dalziel, M. V. (2025). Social work students’ reflections on self-care while completing field education during the Covid-19 pandemic. Australian Social Work, 78 (1),71-82. https://doi.org/10.1080/0312407X.2023.2284171 Hayes, A. F., & Coutts, J. J. (2020). Use omega rather than Cronbach’s alpha for estimating reliability. But. Communication Methods and Measures, 14(1),1-24. https://doi.org/10.1080/19312458.2020.1718629 Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., ... & Calantone, R. J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013). Organizational Research Methods, 17(2),182-209. https://doi.org/10.1177/1094428114526928 Hou, Y., Xiong, D., Jiang, T., Song, L., & Wang, Q. (2019). Social media addiction: Its impact, mediation, and intervention. Cyberpsychology: Journal of psychosocial research on cyberspace, 13(1),1-10. https://doi.org/10.5817/CP2019-1-4 Hyrkäs, K., Appelqvist-Schmidlechner, K., & Oksa, L., (2003). Validating on Instrument for Clinical Supervision using an Expert Panel. International Journal of Nursing Studies, 40 (6), 619-625. https://doi.org/10.1016/s0020-7489 (03)00036-1 Jonkman, N. H., Westland, H., Groenwold, R. H., Ågren, S., Atienza, F., Blue, L., ... & Hoes, A. W. (2016). Do self-management interventions work in patients with heart failure? An individual patient data meta-analysis. Circulation, 133(12),1189-1198. https://doi.org/10.1161/CIRCULATIONAHA.115.018006 Jung, H. J., & Kim, Y. J. (2020). Impact of self-esteem and social support on self-care performance in liver transplantation recipients. Korean Journal of Rehabilitation Nursing, 1 (2), 132-139. https://pesquisa.bvsalud.org/portal/resource/pt/wpr-920318 Kabul, E. G., Aksoy, C. C., & Calik, B. B. (2025). The validity of Turkish version of Social Frailty Index in older adults: An index of social attributes predictive of mortality. Revista Española de Geriatría y Gerontología, 60 (2), 1-10. https://doi.org/10.1016/j.regg.2024.101556 Karimi, M., & Ghorbani, S. (2025). Prediction of Self-Care based on Problem-Solving Skills, Parent-Child Relationship and Emotional Independence with Regard to the Mediating Role of Social Support in Adolescents with Diabetes. Health Psychology, 13 (52), 47-64. https://doi.org/10.30473/hpj.2025.67634.5808 (In Persian) Kılıç, Y. F., & Yardımcı Gürel, T. (2025). Individual-Level Determinants of Self-Care Behaviors and Adaptation to Chronic Illness in Turkish Patients With Chronic Disease: A Single-Center Cross-Sectional Study. Journal of Multidisciplinary Healthcare, 18 (1), 637-650. https://doi.org/10.2147/JMDH.S500065 Kline, R. B. (2023). Principles and Practice of Structural Equation Modeling. Guilford publications. https://www.guilford.com/books/Principles-and-Practice-of-Structural-Equation-Modeling/Rex-Kline/9781462551910 Kordnoghabi, R., & Veisi, S. (2024). Developing a Model of Wisdom Based on Successful Intelligence and Psychological Well-Being in Students: The Mediating Role of Creativity. Positive Psychology Research, 10 (3), 29-50. https://doi.org/10.22108/ppls.2025.139681.2473 (In Persian) Lee, C. S., Bidwell, J. T., Paturzo, M., Alvaro, R., Cocchieri, A., Jaarsma, T., ... & Vellone, E. (2018). Patterns of self-care and clinical events in a cohort of adults with heart failure: 1 year follow-up. Heart & Lung, 47 (1), 40-46. https://doi.org/10.1016/j.hrtlng.2017.09.004 Li, J., Han, X., Wang, W., Sun, G., & Cheng, Z. (2018). How social support influences university students' academic achievement and emotional exhaustion: The mediating role of self-esteem. Learning and Individual Differences, 61 (1),120-126. http://dx.doi.org/10.1016/j.lindif.2017.11.016 Li, Y., Shi, J., Luo, B., Xiong, A., Xiong, S., Wang, J., & Liao, S. (2025). Internet Addiction and Depressive Symptoms in University Students: Latent Profiles, Network Structure, and Symptomatic Pathways to Suicide Risk. Depression and Anxiety, 2025(1), 4591408. https://doi.org/10.1155/da/4591408 Lim, Y. X., Yap, X. Y., Domingo, R. V. C., Tan, Y. Q., Tan, P. C., & Wu, X. V. (2025). Perspectives of Older Adults on Self‐Care of Chronic Diseases Utilizing Online Health Resources: An Exploratory Descriptive Qualitative Study. Nursing & Health Sciences, 27(1),1-10. https://doi.org/10.1111/nhs.70056 Liu, X., Gui, Z., Chen, Z. M., Feng, Y., Wu, X. D., Su, Z., ... & Xiang, Y. T. (2025). Global prevalence of internet addiction among university students: a systematic review and meta-analysis. Current Opinion in Psychiatry, 38(3),182-199. https://doi.org/10.1097/YCO.0000000000000994 Luciani, M., De Maria, M., Page, S. D., Barbaranelli, C., Ausili, D., & Riegel, B. (2022). Measuring self-care in the general adult population: development and psychometric testing of the Self-Care Inventory. BMC public health, 22(1),598-608. https://doi.org/10.1186/s12889-022-12913-7 Martínez-Ramón, J. P., Morales-Rodríguez, F. M., Ruiz-Esteban, C., & Méndez, I. (2022). Self-Esteem at University: Proposal of an Artificial Neural Network Based on Resilience, Stress, and Sociodemographic Variables. Frontiers in Psychology, 13(2),1-10. https://doi.org/10.3389/fpsyg.2022.815853 Matarese, M., Clari, M., De Marinis, M. G., Barbaranelli, C., Ivziku, D., Piredda, M., & Riegel, B. (2020). The self-care in chronic obstructive pulmonary disease inventory: development and psychometric evaluation. Evaluation & the Health Professions, 43(1),50-62. https://doi.org/10.1177/0163278719856660 Matarese, M., Lommi, M., & De Marinis, M. G. (2017). Systematic review of measurement properties of self‐reported instruments for evaluating self‐care in adults. Journal of Advanced Nursing, 73(6),1272-1287. https://doi.org/10.1111/jan.13204 Moksnes, U. K., Espnes, G. A., Eilertsen, M. E. B., Bjørnsen, H. N., Ringdal, R., & Haugan, G. (2024). Validation of Rosenberg self-esteem scale among Norwegian adolescents–psychometric properties across samples. BMC psychology, 12 (1), 506-518. https://doi.org/10.1186/s40359-024-02004-0 Narasimhan, M., Allotey, P., & Hardon, A. (2019). Self care interventions to advance health and wellbeing: a conceptual framework to inform normative guidance. Bmj, 365 (1), 1-10. https://doi.org/10.1136/bmj.l688 Nowak, M., Rachubińska, K., Starczewska, M., & Grochans, E. (2022). Seeking relationships between Internet addiction and depressiveness, daytime sleepiness, as well as perceived social support in young adults. Eur Rev Med Pharmacol Sci, 26 (4), 1374-1381. https://doi.org/10.26355/eurrev_202202_28130 Orth, U., & Robins, R. W. (2014). The development of self-esteem. Current directions in psychological science, 23 (5), 381-387. https://doi.org/10.1177/0963721414547414 Payandeh, F., Mohamadkhani, P., & Borjali, M. (2023). The role mediating of co-rumination in relationship between self-esteem and self-compassion with anxiety in adolescents. Journal of Modern Psychological Researches, 18 (70), 11-22. (In Persian) https://doi.org/10.22034/jmpr.2023.16521 Rababah, J. A., & Al-Hammouri, M. M. (2025). The role of religious and existential spiritual well-being in determining self-care in Jordanian Muslim nursing students. Social Sciences & Humanities Open, 11 (1), 1-15. https://doi.org/10.1016/j.ssaho.2025.101305 Rahimi, M., Setoudeh, S., Nik Nezhad Jalali, A., & Nadimi, H. (2025). Investigating the effectiveness of self-care training on internet addiction and the quality of life of nursing students of Islamic Azad University, Sabzevar Branch, during the Corona era. Education and Ethics In Nursing ISSN: 2322-5300, 14 (1-2), 1-10. https://doi.org/10.22034/ethic.2025.2041350.1122 Raj, J. D., & Sathiyan, G. (2024). Enhancing Life Skill Progression and Psychological Well-being of Undergraduate Students through AI-driven Recommendation System. Multidisciplinary Science Journal, 7 (2), 1-10. https://doi.org/10.31893/multiscience.2025054 Rawat, K., Błachnio, A., & Suppan, K. (2023). Psychometric Properties of the Polish Version of the Sports Anxiety Scale-2 (SAS-2). International Journal of Environmental Research and Public Health, 20 (14), 1-10. https://doi.org/10.3390/ijerph20146429 Reitz, A. K. (2022). Self‐esteem development and life events: A review and integrative process framework. Social and Personality Psychology Compass, 16(11),1-10. https://doi.org/10.1111/spc3.12709 Riegel, B., Barbaranelli, C., Sethares, K. A., Daus, M., Moser, D. K., Miller, J. L., ... & Jaarsma, T. (2018). Development and initial testing of the self‐care of chronic illness inventory. Journal of Advanced Nursing, 74 (10), 2465-2476. https://doi.org/10.1111/jan.13775 Riegel, B., Jaarsma, T., & Strömberg, A. (2012). A middle-range theory of self-care of chronic illness. Advances in Nursing Science, 35 (3), 194-204. https://doi.org/10.1097/ANS.0b013e318261b1ba Riegel, B., Jaarsma, T., Lee, C. S., & Strömberg, A. (2019). Integrating symptoms into the middle-range theory of self-care of chronic illness. Advances in Nursing Science, 42 (3), 206-215. https://doi.org/10.1097/ANS.0000000000000237 Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020). Partial least squares structural equation modeling in HRM research. The international journal of human resource management, 31 (12), 1617-1643. https://doi.org/10.1080/09585192.2017.1416655 Rosenberg, M. (1989). Determinants of self-esteem-a citation classic commentary on society and the adolescent self-image by Rosenberg, M. Current Contents/Social & Behavioral Sciences, 1 (11), 16-16. https://www.scirp.org/reference/ReferencesPapers?ReferenceID=1184974 Rosenthal, S. A., Hooley, J. M., Montoya, R. M., van der Linden, S. L., & Steshenko, Y. (2020). The Narcissistic Grandiosity Scale: A Measure to Distinguish Narcissistic Grandiosity From High Self-Esteem. Assessment, 27(3), 487-507. https://psycnet.apa.org/doi/10.1177/1073191119858410 Şahin, C., & Yağcı, M. (2017). Sosyal medya bağimliliği ölçeği-yetişkin formu: geçerlilik ve güvenirlik çalişmasi. Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi, 18 (1), 523-538. https://dergipark.org.tr/en/pub/kefad/issue/59268/851452 Shao, X., & Ni, X. (2021). How Does family intimacy predict self-esteem in adolescents? Moderation of social media use based on gender difference. Sage Open, 11 (1), 1-10. https://doi.org/10.1177/21582440211005453 Sharma, D., & Sharma, R. D. (2025). Building Emotional Fortitude: The Interplay of Resilience, Self-Compassion, and Psychological Well-Being Among College Students. Research Review International Journal of Multidisciplinary, 10(1),164-170. https://doi.org/10.31305/rrijm.2025.v10.n1.021 Stucki, G., Rubinelli, S., & Bickenbach, J. (2020). We need an operationalisation, not a definition of health. Disability and rehabilitation, 42 (3), 442-444. https://doi.org/10.1080/09638288.2018.1503730 Tateno, M., Teo, A. R., Ukai, W., Kanazawa, J., Katsuki, R., Kubo, H., & Kato, T. A. (2019). Internet addiction, smartphone addiction, and Hikikomori trait in Japanese young adult: Social isolation and social network. Frontiers in psychiatry, 10(1),1-10. https://doi.org/10.3389/fpsyt.2019.00455 Tsang, E. W., Yuen, C. C., Lau, J. C., Ma, V. W., Wat, M. T., Yu, J. Y., ... & Chan, C. C. (2024). Influences of Lifestyle Profiles and Problematic Internet Use on Mental Distress in University Students. Psychological Studies, 69(1), 81-91. https://doi.org/10.1007/s12646-023-00766-y Vaghar Hasanpur, M., Jalali, Y., & Tayebli M. (2020). Modeling the relationship between the big five personality traits and resilience, considering self-esteem as a mediator variable. Shenakht Journal of Psychology and Psychiatry, 7 (4), 78-92. (In Persian) http://dx.doi.org/10.52547/shenakht.7.4.78 Veisi, S., Kashefi, F., & Imani, S. (2024). Fittness the Causal-Structural Relationships of Successful Intelligence with Wisdom with the Mediation of Musical Intelligence in Piano Players. Social Psychology Research, 14 (54), 1-14. https://doi.org/10.22034/spr.2024.424119.1877 (In Persian) Veisi, S., Kordnoghabi, R., Imani, S., & Kashefi, F. (2024). Psychometric Properties of the Persian Version Abbreviated Wisdom Scale in Iranian Adults. Journal of Applied Psychological Research, 16(3),161-179. https://doi.org/10.22059/japr.2024.361950.644670 (In Persian) Wu, Y., Xue, Y., Zhao, X., Han, S., & Wu, W. (2024). Unravelling the veil of appearance anxiety: exploring social media use among Chinese young people. BMC Psychology, 12 (1), 9-20. https://doi.org/10.1186/s40359-023-01495-7 Young, K. S. (1998). Caught in the net: how to recognize the signs of internet addiction - and a winning strategy for recovering. New York: John Wiley & Sons, Inc. https://www.wiley.com/en-us Zewude, G. T., Bereded, D. G., Abera, E., Tegegne, G., Goraw, S., & Segon, T. (2024). The impact of internet addiction on mental health: Exploring the mediating effects of positive psychological capital in university students. Adolescents, 4 (2), 200-221. https://doi.org/10.3390/adolescents4020014 Zewude, G. T., Natnael, T., Woreta, G. T., & Bezie, A. E. (2025). A multi-mediation analysis on the impact of social media and internet addiction on university and high school students’ mental health through social capital and mindfulness. International Journal of Environmental Research and Public Health, 22(1),57-78. https://doi.org/10.3390/ijerph22010057 Zimet, G.D., Dahlem, N. W., Zimet, S. G., & Farley, G. K. (1988). The Multidimensional Scale of Perceived Social Support. Journal of Personality Assessment, 52 (1), 30-41. http://dx.doi.org/10.1207/s15327752jpa5201_2 | ||
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