نقش الگوهای روانشناختی و مدت زمان استفاده از گوشی هوشمند و لپ تاپ بر گردن درد

نوع مقاله : مقاله پژوهشی

نویسندگان

1 M.Sc. in general psychology, Department of Psychology, Ferdowsi University of Mashhad, Mashhad, Iran.

2 M.Sc. in occupational therapy, Department of Occupational Therapy, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.

3 M.Sc. student in educational psychology, Department of Psychology, Semnan University, Semnan, Iran

4 M.Sc. student in clinical psychology, Department of Clinical Psychology, Mashhad University of Medical Sciences, Mashhad, Iran

5 Bachelor of psychology, Department of Psychology, Ferdowsi University of Mashhad, Mashhad, Iran.

6 Mashhad University of Medical Sciences, Mashhad, Iran.

چکیده

مقدمه: پژوهش حاضر به بررسی نقش الگوهای روانشناختی و مدت زمان استفاده از گوشی هوشمند و لپ‌تاپ بر گردن درد می‌پردازد.
روش‌ کار: جامعه آماری این پژوهش همبستگی شامل کلیه دانشجویان دانشگاه فردوسی مشهد در سال تحصیلی 1401-1400 بود. دویست و چهل و دو دانشجو به روش خوشه ای چند مرحله ای انتخاب شدند. داده ها از طریق پرسشنامه شخصیت NEO (NEO-PI)، مقیاس افسردگی، اضطراب، استرس (DASS-21)، مقیاس گردن درد نوردیک و پرسشنامه محقق ساخته برای بررسی ساعات استفاده از گوشی هوشمند و لپ تاپ جمع آوری شد. اطلاعات و داده ها با استفاده از مدل معادلات ساختاری مورد تجزیه و تحلیل قرار گرفت.
یافته‌ها: نتایج نشان داد که ویژگی‌های شخصیتی و ابعاد آن (نظیر انعطاف‌پذیری، روان رنجورخویی، درون‌گرایی/برون‌گرایی، وظیفه‌شناسی کاری و توافق‌پذیری)، استرس روان‌شناختی و زیرمقیاس‌های آن (اضطراب، افسردگی و استرس) و مدت زمان استفاده از گوشی هوشمند و لپ تاپ نتوانست تاثیر معنی داری بر گردن درد داشته باشد (P> 0.05) (Power AGFI> 0.90، Power RMSEA> 0.90).
نتیجه‌گیری: بر اساس یافته‌ها، الگوهای روان‌شناختی و مدت زمان استفاده از گوشی‌های هوشمند و لپ‌تاپ تأثیر قابل‌توجهی بر گردن درد ندارد و لازم است از ابزار دقیق‌تری برای بررسی گسترده‌تر و عمیق‌تر استفاده شود.

کلیدواژه‌ها


  1. Damm H, Jönsson A, Rosengren BE, Jehpsson L, Ohlsson C, Ribom E, et al. Prevalence and morbidity of neck pain: a cross-sectional study of 3000 elderly men. J Orthop Surg Res 2023; 18(1): 1-9.
  2. Safdari M, Safdari Z, Sadeghi Ferezghi S, Shirdeli M, Safdari Z, Pishjoo M. Cervical Magnetic Resonance Imaging (MRI) findings in patients with neck pain: A cross sectional study in Southeast of Iran. International journal of medical investigation 2018; 7(3): 25-31.
  3. Ahmed MA, Ahmed MW, Khalil S, Jadoon IJ, Khalil F, Sundus M, et al. Prevalence of neck, shoulder and low back pain between secondary school teachers of age 25-45 years in Mandian Abbottabad. Journal of women medical and dental college 2023; 1(4): 1-7.
  4. Kazeminasab S, Nejadghaderi SA, Amiri P, Pourfathi H, Araj-Khodaei M, Sullman MJ, et al. Neck pain: Global epidemiology, trends and risk factors. BMC Musculoskelet Disord 2022; 23(1): 1-13
  5. Karthik V, Arulpragassame S, Felix A, Parkavi K. Prevalence of forward head posture and its association with gender, BMI and neck pain among college going students–A cross sectional study. Journal of positive school psychology 2022; 6(9): 5084-90.
  6. Overstreet DS, Strath LJ, Jordan M, Jordan IA, Hobson JM, Owens MA, et al. A brief overview: Sex differences in prevalent chronic musculoskeletal conditions. Int J Environ Res Public Health 2023; 20(5): 4521.
  7. Frutiger M, Borotkanics R. Systematic review and meta‐analysis suggest strength training and workplace modifications may reduce neck pain in office workers. Pain Pract 2021; 21(1): 100-31.
  8. Jahre H, Grotle M, Smedbråten K, Dunn KM, Øiestad BE. Risk factors for non-specific neck pain in young adults. A systematic review. BMC Musculoskelet Disord 2020; 21(1): 1-12.
  9. Mork R, Falkenberg HK, Fostervold KI, Thorud H-MS. Discomfort glare and psychological stress during computer work: Subjective responses and associations between neck pain and trapezius muscle blood flow. Int Arch Occup Environ Health 2020; 93: 29-42.
  10. Serrano-Ibáñez ER, López-Martínez AE, Ramírez-Maestre C, Esteve R, Jensen MP. The behavioral inhibition and activation systems and function in patients with chronic pain. Pers Individ Dif 2019; 138: 56-62.
  11. Lin L-L, Li H-P, Yang J-W, Hao X-W, Yan S-Y, Wang L-Q, et al. Acupuncture for psychological disorders caused by chronic pain: A review and future directions. Front Neurosci 2021; 14: 626497.
  12. Tampin B, Royle J, Bharat C, Trevenen M, Olsen L, Goucke R. Psychological factors can cause false pain classification on pain detect. Scand J Pain 2019; 19(3): 501-12.
  13. Derakhshanrad N, Yekaninejad MS, Mehrdad R, Saberi H. Neck pain associated with smartphone overuse: Cross-sectional report of a cohort study among office workers. Eur Spine J 2021; 30: 461-7 .
  14. Al-Hadidi F, Bsisu I, AlRyalat SA, Al-Zu’bi B, Bsisu R, Hamdan M, et al. Association between mobile phone use and neck pain in university students: A cross-sectional study using numeric rating scale for evaluation of neck pain. PLoS One 2019; 14(5): e0217231.
  15. Warda DG, Nwakibu U, Nourbakhsh A. Neck and upper extremity musculoskeletal symptoms secondary to maladaptive postures caused by cell phones and backpacks in school-aged children and adolescents. Healthcare (Basel) 2023; 11(6): 819. 
  16. Aksüt G, Alakaş HM, Eren T. Determining ergonomic risks arising from the use of information technologies in the Covid-19 environment. Int J Hum Comput Interact 2023; 39(8): 1582-93.
  17. Dalimi H, Ghorbani A, Kazem Nejad A, Alizadeh MH. A novel device to improve sitting posture. Middle East journal of family medicine 2018; 16(4): 61-68.
  18. Szczechowicz J, Mazurek A. Keyboards types of selected electronic devices and the occurrence of pain in the shoulder girdle and upper limb-a review of literature. Medical rehabilitation 2018; 22(2): 30-39.
  19. Ojha R, Sindhu B, Sen S. Effects of smartphone addiction on sitting neck posture & hand discomfort: A cross sectional study. Int J Health Sci (Qassim) 2022; 6: 13642-50.
  20. Meates J. Problematic digital technology use in children and adolescents: Impact on physical well-being. Teachers and curriculum 2021; 21(1): 77-91.
  21. Fahimi M, Seirafi MR, Sodagar S. [Structural equation modeling of adherence to treatment based on personality traits mediated by locus of control in hemodialysis patients]. Journal of health research in community 2021; 7(3): 14-25. (Persian)
  22. McCrae RR, Costa Jr PT. The NEO Personality Inventory: Using the five‐factor modeI in counseling. J Couns Dev 1991; 69(4): 367-72.
  23. Sabokro M, Haghbin A, Ebrahimzadeh Pezeshki R. [Investigating relationship between Five Neo-Factor Personality characteristics and work-life balance in University of Yazd]. Journal of Iranian high education 2016; 8(2): 112-32. (Persian)
  24. Mihandoust S, Nematollahzadeh Z, Shirvani M, Al-Karboolee NJN, Joudi M, Fouroozandeh M, et al. The relationship between personality dimensions with resiliency and sense of coherence with respect to the role of spiritual health in the patients’ candidate for eye surgery. J Family Med Prim Care 2022; 11(10): 6350.
  25. Lovibond SH. Manual for the depression anxiety stress scales. Sydney: Sydney Psychology Foundation; 1995.
  26. Lovibond PF, Lovibond SH. The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther 1995; 33(3): 335-43.
  27. Crawford J, Cayley C, Lovibond PF, Wilson PH, Hartley C. Percentile norms and accompanying interval estimates from an Australian general adult population sample for self‐report mood scales (BAI, BDI, CRSD, CES‐D, DASS, DASS‐21, STAI‐X, STAI‐Y, SRDS, and SRAS). Aust Psychol 2011; 46(1): 3-14.
  28. Shafiee Z. [The validity and reliability of thriving scale among the students of the University of Isfahan in 2017]. Journal of Rafsanjan University of Medical Sciences 2018; 16: 1013-24 (Persian)
  29. Brown TA, Chorpita BF, Korotitsch W, Barlow DH. Psychometric properties of the Depression Anxiety Stress Scales (DASS) in clinical samples. Behav Res Ther 1997; 35(1): 79-89.
  30. Kuorinka I, Jonsson B, Kilbom A, Vinterberg H, Biering-Sørensen F, Andersson G, et al. Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon 1987; 18(3): 233-7.
  31. Sheikhmozafari MJ. [Validity and reliability of the Persian version of the NPQ Neck Pain Assessment Questionnaire among Iranian housekeeping company workers]. Journal of occupational hygiene engineering 2022; 9(2): 120-28. (Persian)
  32. Crawford JO. The Nordic musculoskeletal questionnaire. Occup Med 2007; 57(4): 300-301.
  33. McCallum RC, Browne MW, Cai L. Testing differences between nested covariance structure models: Power analysis and null hypotheses. Psychol Methods 2006; 11(1): 19.
  34. Kim KH. The relation among fit indexes, power, and sample size in structural equation modeling. Struct Equ Modeling 2005; 12(3): 368-90.