Volume 6, Issue 3 (Winter 2021)
SJNMP 2021, 6(3): 97-106 |
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Safarinezhad M, Parhizkar A. Investigating the level of social skills and its relationship with the perspective of high-risk behaviors in adolescents in Sanandaj in 1397. SJNMP 2021; 6 (3) :97-106
URL: http://sjnmp.muk.ac.ir/article-1-349-en.html
URL: http://sjnmp.muk.ac.ir/article-1-349-en.html
1- Kurdistan University of Medical Sciences , maisam.safari1377@gmail.com
2- Kurdistan University of Medical Sciences
2- Kurdistan University of Medical Sciences
Abstract: (1618 Views)
Background & Aim: Social skills are among the components that could be related to the occurrence of high-risk behaviors in adolescents. This study aimed to evaluate the relationship between social skills and perspective of high-risk behaviors in adolescents in Sanandaj, Iran.
Materials & Methods: This correlational-descriptive study was performed on 360 high-school students selected by cluster sampling method. Data were collected using a demographic characteristics questionnaire, Ahmadpour Turkman High-risk Behaviors Questionnaire, and Gresham and Elliott Social Skills Rating System. In addition, data analysis was performed in SPSS version 22 using Chi-square, non-parametric Spearman’s correlation coefficient, and the Kruskal-Wallis test.
Results: In this study, the majority of the participants were tenth-grade 15 to 19-year-old individuals (66.4%). The mean and standard deviation of high-risk behaviors was estimated at 54.12±10.41. Moreover, the mean and standard deviation of students’ social skills was 9.08±2.51. According to the results, there was a significant, reverse correlation between high-risk behaviors and social skills of the participants.
Conclusion: According to the results of the study, there was a significant, reverse association between high-risk behaviors and the social skills of the students. Given the importance of adolescence, improvement of social skills can prevent the emergence of high-risk behaviors to some extent.
Materials & Methods: This correlational-descriptive study was performed on 360 high-school students selected by cluster sampling method. Data were collected using a demographic characteristics questionnaire, Ahmadpour Turkman High-risk Behaviors Questionnaire, and Gresham and Elliott Social Skills Rating System. In addition, data analysis was performed in SPSS version 22 using Chi-square, non-parametric Spearman’s correlation coefficient, and the Kruskal-Wallis test.
Results: In this study, the majority of the participants were tenth-grade 15 to 19-year-old individuals (66.4%). The mean and standard deviation of high-risk behaviors was estimated at 54.12±10.41. Moreover, the mean and standard deviation of students’ social skills was 9.08±2.51. According to the results, there was a significant, reverse correlation between high-risk behaviors and social skills of the participants.
Conclusion: According to the results of the study, there was a significant, reverse association between high-risk behaviors and the social skills of the students. Given the importance of adolescence, improvement of social skills can prevent the emergence of high-risk behaviors to some extent.
Type of Study: Qualitative study |
Subject:
General
Received: 2020/08/25 | Revised: 2021/03/1 | Accepted: 2020/09/2 | Published: 2021/01/29 | ePublished: 2021/01/29
Received: 2020/08/25 | Revised: 2021/03/1 | Accepted: 2020/09/2 | Published: 2021/01/29 | ePublished: 2021/01/29
References
1. Macías Islas MÁ, Ciampi E. Assessment and impact of cognitive impairment in multiple sclerosis: an overview. Biomedicines 2019; 7(1): 22. [DOI:10.3390/biomedicines7010022]
2. Bassi M, Falautano M, Cilia S, Goretti B, Grobberio M, Pattini M, et al. Illness perception and well-being among persons with multiple sclerosis and their caregivers. J of clinical psychology in medical settings 2016; 23(1): 33-52. [DOI:10.1007/s10880-015-9425-8]
3. Mazdeh M, Khazaei M, Hashemi FN, Ghiasian M. Frequency of Multiple Sclerosis (MS) Among Relatives of MS Patients in Hamadan Society, Iran Avicenna. J Neuro Psych Physiology 2016; 3(1). [Persian] [DOI:10.17795/ajnpp-38613]
4. Bove R, Chitnis T. Sexual disparities in the incidence and course of MS. Clinical Immunology 2013; 149(2): 201-10. [DOI:10.1016/j.clim.2013.03.005]
5. Dennison L, Moss-Morris R, Silber E, Galea I, Chalder T. Cognitive and behavioural correlates of different domains of psychological adjustment in early-stage multiple sclerosis. J of psychosomatic research. 2010; 69)4(: 353-61. [DOI:10.1016/j.jpsychores.2010.04.009]
6. Simpson R, Booth J, Lawrence M, Byrne S, Mair F, Mercer S. Mindfulness based interventions in multiple sclerosis-a systematic review. BMC neurology 2014; 14(1):15. [DOI:10.1186/1471-2377-14-15]
7. Beiske AG, Serensson E, Sandanger I, Gzujko B, Pederson ED, Aarseth JH, et al.
8. Depression and anxiety amongst multiple sclerosis patients. Eur Nero 2008; 15 (3): 239-45. [DOI:10.1111/j.1468-1331.2007.02041.x]
9. Esmonde L, Long AF. Complementary therapy use by persons with multiple sclerosis: benefits and research priorities. Complementary Therapies in Clinical Practice 14(3): 176-84. [DOI:10.1016/j.ctcp.2008.03.001]
10. Patten SB, Beck CA, Williams JV, Barbui C, Metz LM. Major depression in multiple sclerosis: a population-based perspective. Neurology 2003; 61(11):1524-7. [DOI:10.1212/01.WNL.0000095964.34294.B4]
11. Lobentanz IS, Asenbaum S, Vass K, Sauter C, Klösch G, Kollegger H, et al. Factors influencing quality of life in multiple sclerosis patients: disability, depressive mood, fatigue and sleep quality. Acta Neurologica Scandinavica 2004; 110(1): 6-13. [DOI:10.1111/j.1600-0404.2004.00257.x]
12. Abolghasemi A, Farhang S, Taherifard M, Kiamarsi A, Arabani AS. The effect of supportive-expressive therapy on hope and quality of life in patients with multiple sclerosis (MS). Archives of Psychiatry and Psychotherapy 2016; 4: 20-7. [Persian] [DOI:10.12740/APP/64975]
13. Frischer JM, Weigand SD, Guo Y, Kale N, Parisi JE, Pirko I, et al. Clinical and pathological insights into the dynamic nature of the white matter multiple sclerosis plaque. Annals of neurology 2015; 78(5): 710-21. [DOI:10.1002/ana.24497]
14. Glanz BI, Dégano IR, Rintell DJ, Chitnis T, Weiner HL, Healy BC. Work productivity in relapsing multiple sclerosis: associations with disability, depression, fatigue, anxiety, cognition, and health-related quality of life. Value in Health 2012; 15(8): 1029-3. [DOI:10.1016/j.jval.2012.07.010]
15. Pittion-Vouyovitch S, Debouverie M, Guillemin F, Vandenberghe N, Anxionnat R, Vespignani H. Fatigue in multiple sclerosis is related to disability, depression and quality of life. J of the neurological sciences 2006; 243(1-2): 39-45. [DOI:10.1016/j.jns.2005.11.025]
16. Kroencke DC, Lynch SG, Denney DR. Fatigue in multiple sclerosis: relationship to depression, disability, and disease pattern. Multiple Sclerosis J 2000; 6(2):131-6. [DOI:10.1177/135245850000600213]
17. Weissman AN, Beck AT. Development and validation of the Dysfunctional Attitude Scale: Apreliminary investigation 1978.
18. Briones-Buixassa L, Milà R, M Aragonès J, Bufill E, Olaya B, Arrufat FX. Stress and multiple sclerosis: A systematic review considering potential moderating and mediating factors and methods of assessing stress. Health psychology open 2015; 2(2): 2055102915612271. [DOI:10.1177/2055102915612271]
19. Americn Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Revised (DSM-IV). Washington, DC: American Psychiatric Association 1994.
20. Kuyken W, Brewin CR. Intrusive memories of childhood abuse during depressive episodes. Behaviour research and therapy 1994; 32(5): 525-8. [DOI:10.1016/0005-7967(94)90140-6]
21. Birrer E, Michael T, Munsch S. Intrusive images in PTSD and in traumatised and non-traumatised depressed patients: A cross-sectional clinical study. Behaviour Research and Therapy 2007; 45(9): 2053-65. [DOI:10.1016/j.brat.2007.03.005]
22. Shirvani M, Azad Fallah P, Moradi A, Eskandari H. Treatment of post-traumatic stress disorder in women experiencing infidelity. Journal of Clinical Psychology Studies 2016; 7(25): 85-106. [Persian]
23. Williams AD, Moulds ML. Negative appraisals and cognitive avoidance of intrusive memories in depression: a replication and extension. Depression and anxiety 2008; 25(7): 26-33. [DOI:10.1002/da.20409]
24. Newby JM, Moulds ML. Do intrusive memory characteristics predict depression at 6 months?. Memory 2011; 19(5): 538-46. [DOI:10.1080/09658211.2011.590505]
25. Verwoerd JR. The crippling homunculus: inefficient executive control and the persistence of intrusive memories. University of Groningen, Faculty of Behavioural and Social Sciences 2009.
26. Thomas, P. W. Thomas, S. Hillier, C. Galvin, K. & Baker, R. Psychological interventions for multiple sclerosis. Cochrane Database Syst Rev 2006. [DOI:10.1002/14651858.CD004431.pub2]
27. Farsani R M, & Kohan ZR. The Effectiveness of Autobiographical Memory Specificity Training (MEST) on Depression in Veterans with Post-Traumatic Stress Disorder in Isfahan. J of Military Medicine 2017; 19(1): 40-48. [Persian]
28. Martens K, Barry TJ, Takano K, Onghena P, Raes F. Efficacy of online Memory Specificity Training in adults with a history of depression, using a multiple baseline across participants design. Internet Interventions 2019;18:100259. [DOI:10.1016/j.invent.2019.100259]
29. Erten MN, Brown AD. Memory specificity training for depression and posttraumatic stress disorder: a promising therapeutic intervention. Frontiers in psychology 2018;9:419. [DOI:10.3389/fpsyg.2018.00419]
30. Raes F, Hermans D, Williams JM, Eelen P. Reduced autobiographical memory specificity and affect regulation. Cognition and Emotion 2006; 20(3-4):402-29. [DOI:10.1080/02699930500341003]
31. Raes F, Williams JM, Hermans D. Reducing cognitive vulnerability to depression: A preliminary investigation of MEmory Specificity Training (MEST) in inpatients with depressive symptomatology. Journal of behavior therapy and experimental psychiatry 2009; 40(1):24-38. [DOI:10.1016/j.jbtep.2008.03.001]
32. Weiss DS, Marmar CR, Wilson JP, Keane TM. Assessing psychological trauma and PTSD. The Impact of Events Scale-Revised 1997; 19: 399-411. [DOI:10.1037/t12199-000]
33. Beck AT, Steer RA, Brown GK. Manual for the beck depression inventory-II. San Antonio, TX: Psychological Corporation 1996; 1: 82. [DOI:10.1037/t00742-000]
34. Beck, A. T. Cognitive therapy and the emotional disorder. New York. International University Press 1976.
35. Lee EH, Lee SJ, Hwang ST, Hong SH, Kim JH. Reliability and validity of the Beck Depression Inventory-II among Korean adolescents. Psychiatry investigation 2017; 14(1): 30. [DOI:10.4306/pi.2017.14.1.30]
36. Berntsen D. The unbidden past: Involuntary autobiographical memories as a basic mode of remembering. Current Directions in Psychological Science 2010; 19(3): 138-42. [DOI:10.1177/0963721410370301]
37. Roozban M, Forouzandeh E. The effect of special event memory training on resilience and depression, Depressed Girls. Breeze of health Chapter 2016; 4-3. [Persian]
38. Arjmandnia A, Namjo S. The effect of memorizing specialized education (meat) on the influential mechanisms of the extreme clinicalism of story memory in depressed patients with childhood traumatic experience. J of Isfahan Medical School 2016; 33(329). [Persian]
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