Association of Musculoskeletal Disorders among Higher Secondary School Students Undergoing E-Learning as a Mode of Education

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1. Chen P, Mao L, Nassis GP, Harmer P, Ainsworth BE, et al. (2020) Wuhan coronavirus (2019-nCoV): The need to maintain regular physical activity while taking precautions. J Sport Health Sci 9: 103. [Google Scholar] [Crossref]

2. Amro A,Albakry S, Jaradat M,etal.(2020) Musculoskeletal Disorders and Association with Social Media Use Among University Students at the Quarantine Time Of COVID-19 Outbreak:journal of physical Medicine vol1:105 [Google Scholar] [Crossref]

3. Rieley, J. B. (2020). Corona Virus and its impact on higher education. Research Gate. Save the Children. (2014). No child left behind, Education in crisis in the Asia-Pacific Region Victoria. [Google Scholar] [Crossref]

4. Dollarhide M (2019) Social Media Definition. Investopedia. [Google Scholar] [Crossref]

5. Alahmar A (2016) The impact of social media on the academic performance of second year medical students at College of Medicine, University of Babylon, Iraq. J Med Allied Sci 6: 77- 83. [Google Scholar] [Crossref]

6. Kulidtod R, Pasagui N (2017) Effects of social networking media to the academic performance of the student. In: Proceedings of the 2nd international conference on educational management and administration (CoEMA 2017). Atlantis Press. [Google Scholar] [Crossref]

7. Lokithasan K, Simon S, Jasmin NZB, Othman NAB (2019) Male and Female Social Media Influencers: The Impact of Gender on Emerging Adults. Int J 2: 21-30. [Google Scholar] [Crossref]

8. Scott CF, Bay-Cheng LY, Prince MA, Nochajski TH, Collins RL (2017) Time spent online: Latent profile analyses of emerging adults' social media use. Computers in Human Behavior 75: 311-9. [Google Scholar] [Crossref]

9. Hakala P, Rimpelä A, Salminen JJ, Virtanen SM, Rimpelä M: Back, neck, and shoulder pain in Finnish adolescents: national cross sectional surveys. Br Med J 2002, 325:743-745. [Google Scholar] [Crossref]

10. Alexander LM, Currie C: Young people’s computer use: implications for health education. Health Educ 2004, 4:254-261. [Google Scholar] [Crossref]

11. Oksanen A, Metsähonkala L, Anttila P, Aromaa M, Jäppilä E, Viander S, Salminen J, Helenius H, Sillanpää M: Leisure activities in adolescents with headache. Acta Paediatr 2005, 94:609-615. [Google Scholar] [Crossref]

12. Torsheim T, Eriksson L, Schnohr CH, Hansen F, Bjarnason T, Välimaa R: Screen-based activities and physical complaints among adolescents from the Nordic countries. BMC Public Health 2010, 10:324[http://www. biomedcentral.com/1471-2458/10/324.], Accessed June 9, 2010. [Google Scholar] [Crossref]

13. Hakala PT, Rimpelä AH, Saarni LA, Salminen JJ: Frequent computer-related activities increase the risk of neck-shoulder and low back pain in adolescents. Eur J Public Health 2006, 16:536-541. [Google Scholar] [Crossref]

14. Zapata AL, Moraes AJP, Leone C, Doria-Filho U, Silva CAA: Pain and musculoskeletal pain syndromes related to computer and video game use in adolescents. Eur J Pediatr 2006, 165:408-414. [Google Scholar] [Crossref]

15. Smith L, Louw Q, Crous L, Grimmer-Somers K: Prevalence of neck pain and headaches: impact of computer use and other associative factors. Cephalalgia 2008, 29:250-257. [Google Scholar] [Crossref]

16. Burke A, Peper E: Cumulative trauma disorder risk for children using computer products: Results of a pilot investigation with a student convenience sample. Public Health Rep 2002, 117:350-357. [Google Scholar] [Crossref]

17. Szeto GPY, Lau JCC, Siu AYK, Tang MY, Tang TWY, Yiu AOY: A study of physical discomfort associated with computer use in secondary school student. Proc CybErg 2002;[http://cyberg.wits.ac.za/]. [Google Scholar] [Crossref]

18. Palm P, Hansson Risberg E, Mortimer M, Palmerud G, Toomingas A, Wigaeus Tornqvist E: Computer use, neck and upper-extremity symptoms, eyestrain and headache among female and male upper secondary school students. Scand J Work Environ Health Suppl 2007, 3:33-41. [Google Scholar] [Crossref]

19. Hakala PT, Saarni LA, Ketola RL, Rahkola ET, Salminen JJ, Rimpelä AT: Computer-associated health complaints and sources of ergonomic instructions in computer-related issues among Finnish adolescents: A cross-sectional study. BMC Public Health 2010, 10:11[http://biomedcentral. com/1471-2458/10/11], Accessed January 11, 2010 [Google Scholar] [Crossref]

20. Kobus M, Rietveld P, Van Ommeren J. Ownership versus on-campus use of mobile IT devices by university students. Comp Edu. 2013;68:29-41. [Google Scholar] [Crossref]

21. Ayanniyi O, Ukpai BOO, Adeniyi AF. Differences in prevalence of self-reported musculoskeletal symptoms among computer and non-computer users in a Nigerian population: a cross-sectional study. BMC Musculoskelet Disord. 2010;11:177. [Google Scholar] [Crossref]

22. Dockrell S, Bennett K, Quinn EC. Computer use and musculoskeletal symptoms among undergraduate university students. Comp Edu. 2015;85:102-109. [Google Scholar] [Crossref]

23. Prakash JS, Singh VAD, Bhatty S. Musculo-skeletal disorders associated with computer usage among healthcare college students: A preliminary report. Orthopaed. 2014;5:WMC004560. [Google Scholar] [Crossref]

24. Calik BB, Yagci N, Gursoy S, Zencir M. Upper extremities and spinal musculoskeletal disorders and risk factors in students using computers. Pak J Med Sci. 2014;30:1361-1366. [Google Scholar] [Crossref]

25. Ekpenyong CE, Nyebuk ED, Aribo EO. Associations between academic stressors, reaction to stress, coping strategies and musculoskeletal disorders among college students. Ethiop J Health Sci. 2013;23:98-112. [Google Scholar] [Crossref]

26. Hutting N, Heerkens YF, Engels JA, Staal JB, Nijhuis- van der Sanden MWG. Experiences of employees with arm, neck or shoulder complaints: a focus group study. BMC Musculoskelet Disord. 2014;15:141. [Google Scholar] [Crossref]

27. Pereira DSL, Castro SS, Bertoncello D, Damio R, Walsh IAP. Relationship of musculoskeletal pain with physical and functional variables and with postural changes in school children from 6 to 12 years of age. Braz J Phys Therapy. 2013;17:392-400. [Google Scholar] [Crossref]

28. Ayanniyi O, Mbada CE, Iroko OP. Neck pain occurrence and characteristics in Nigerian University Undergraduates. TAF Prev Med Bull. 2010;9:167-174. [Google Scholar] [Crossref]

29. Rose KA. The effect of neck pain and headache on academic performance of college students. J Neuro- Musculoskelet Sys. 2000;8:118-122. [Google Scholar] [Crossref]

30. Palmer KT, Walker-Bone K, Graffin MJ, Syddall H, Pannett B, Coggon C. Prevalence and occupation Associations neck pain in the British population. Scand J Work Environ Health.2001;27:49-56. [Google Scholar] [Crossref]

31. Descatha A, Roquelaure Y, Chastang JF, Evanoff B, Melchior M, Mariot C, Ha C, Imbernon E, Goldberg M, Leclerc A: Validity of Nordic-style questionnaires in the surveillance of upper-limb work-related musculoskeletal disorders. Scand J Work Environ Health 2007, 33:58–65. [Google Scholar] [Crossref]

32. Forcier L, Beaugrand S, Lortie M, Lapointe C, Lemaire J, Kuorinka I, Duguay P, Lemay F, Buckle P: L’ABC de l’utilisation d’un questionnaire sur la santé musculo-squelettique: de la planification à la diffusion des résultats. In Book L’ABC de l’utilisation d’un questionnaire sur la santé musculo-squelettique: de la planification à la diffusion des résultats, Editor eds. City: 2001:108. [Google Scholar] [Crossref]

33. Valuri G, Stevenson M, Finch C, Hamer P, Elliott B: The validity of a four week self-recall of sports injuries. Inj Prev 2005, 11:135–137. [Google Scholar] [Crossref]

34. Grimmer K, Williams J, Pitt M: Reliability of adolescents’ self-report of recent recreational injury. J Adolesc Health 2000, 27:273–275. [Google Scholar] [Crossref]

35. Sundblad GMB, Saartok T, Engstrom L-MT: Child–parent agreement on reports of disease, injury and pain. BMC Public Health 2006, 6:276. [Google Scholar] [Crossref]

36. Abramson JH, Abramson ZH: Research Methods in Community Medecine: Surveys, Epidemiological research, Programme Evaluation, Clinical Trials. 6th edition. England: John Wiley & Sons Ltd; 2008 [Google Scholar] [Crossref]

37. Revill SI, Robinson JO, Rosen M, Hogg MIJ: The reliability of a linear analogue for evaluating pain. Anaesthesia 1976, 31:1191-1198. [Google Scholar] [Crossref]

38. Perquin CW, Hazebroek-Kampschreur AAJM, Hunfeld JAM, Bohnen AM, van Suijlekom-Smith LW, Passchier J, van der Wouden JC: Pain in children and adolescents: a common experience. Pain 2000, 87:51-58. [Google Scholar] [Crossref]

39. Bandell-Hoekstra IENG, Huijer Abu-Saad H, Passchier J, Frederics CMA, Feron FMJ, Knipschild P: Prevalence and characteristics of headache in Dutch schoolchildren. Eur J Pain 2001, 5:145-153. [Google Scholar] [Crossref]

40. Hunfeld JAM, Perquin CW, Bertina W, Hazebroek-Kampschreur AAJM, van Suijlekom-Smit LWA, Koes BW, van der Wouden JC, Passchier J: Stability of pain parameters and pain-related quality of life in adolescents with persistent pain: A three-year follow-up. Clin J Pain 2002, 18:99-106. [Google Scholar] [Crossref]

41. Guite JW, Logan DE, Sherry DD, Rose JB: Adolescent Self-Perception: Associations with chronic musculoskeletal pain and functional disability. J Pain 2007, 8:379-386. [Google Scholar] [Crossref]

42. Saarni LA, Rimpelä AH, Nummi TH, Kaukiainen A, Salminen JJ, Nygård C-H: Do ergonomically designed school workstations decrease musculoskeletal symptoms in children? A 26-month prospective follow- up study. Appl Erg 2009, 40:491-499. [Google Scholar] [Crossref]

43. Rodriguez CS. Pain measurement in the elderly: a review. Pain Manag Nurs 2001;2:38 – 46. [Google Scholar] [Crossref]

44. Johnson C. Measuring pain. Visual analog scale versus numeric pain scale: what is the difference? J Chiropr Med 2005;4:43– 4. [Google Scholar] [Crossref]

45. Downie WW, Leatham PA, Rhind VM, Wright V, Branco JA, Anderson JA. Studies with pain rating scales. Ann Rheum Dis 1978;37:378 – 81. [Google Scholar] [Crossref]

46. Jensen MP, McFarland CA. Increasing the reliability and validity of pain intensity measurement in chronic pain patients. Pain 1993;55: 195–203. [Google Scholar] [Crossref]

47. Obembe AO, Johnson OE, Tanimowo TO, Onigbinde AT, Emechete AA. Musculoskeletal pain among undergraduate laptop users in a Nigerian University. J Back Musculoskelet Rehab. 2013;389–395. [Google Scholar] [Crossref]

48. Hamilton A, Jacobs K, Orsmond G. The prevalence of computer-related musculoskeletal complaints in female college students. Work. 2005;24:387-394. [Google Scholar] [Crossref]

49. Lígia Bruni Queiroz, Benito Lourenço, Luiz Eduardo Vargas Silva etal. Musculoskeletal pain and musculoskeletal syndromes in adolescents are related to electronic devices.Epub.2017 [Google Scholar] [Crossref]

50. .Shang-Yu Yang, Ming-De Chen, Yueh-Chu Huang etal .Association between Smartphone Use and Musculoskeletal Discomfort in Adolescent Students.Journalof community health 2017;42:423-430 [Google Scholar] [Crossref]

51. Odebiyi DO, Olawale OA, Adeniji YM .Impact of Computer Related Posture on the Occurrence of Musculoskeletal discomfort among Secondary School Students in Lagos.Nig.QtJ.hosp.Med.2013;23:237-242 [Google Scholar] [Crossref]

52. Paula T Hakala, Lea A Saarni, Raija-Leena Punamäki. Musculoskeletal symptoms and computer use among Finnish adolescents - pain intensity and inconvenience to everyday life: a cross-sectional study. BMC Musculoskeletal Disorders 2012, 13:41 [Google Scholar] [Crossref]

53. Roslyn G Astfalck, Peter B O'Sullivan, Leon M Straker. A detailed characterisation of pain, disability, physical and psychological features of a small group of adolescents with non-specific chronic low back pain.Epub2010;15:240-7 [Google Scholar] [Crossref]

54. Peter Palm, Eva Hansson Risberg, Monica Mortimer. Computer use, neck and upper-extremity symptoms, eyestrain and headache among female and male upper secondary school students. SJWEH Suppl 2007;(3):33–41. [Google Scholar] [Crossref]

55. Paula T Hakala, Arja H Rimpelä, Lea A Saarni etal. Frequent computer-related activities increase the risk of neck-shoulder and low back pain in adolescents. Epub 2006; 16(5):536-41 [Google Scholar] [Crossref]

56. Amro A, Albakry S, Jaradat M. etal .Musculoskeletal Disorders and Association with Social Media Use Among University Students at the Quarantine Time Of COVID-19 Outbreak. Journal of Physical Medicine & Rehabilitation Studies.2020;1:1-6 [Google Scholar] [Crossref]

57. .Pratik Phansopkar, Waqar M. Naqvi, Kiran Kumar.Musculoskeletal check in smartphone overuse in COVID 19 Lockdown phase.Ijrps.2020 [Google Scholar] [Crossref]

58. Borhany T, Shahid E, Siddique WA, Ali H. Musculoskeletal problems in frequent computer and internet users. J Family Med Prim Care 2018;7:337-9 [Google Scholar] [Crossref]

59. Aitthanatt Chachris Eitivipart, Sirinya Viriyarojanakul, Lucy Redhead. Musculoskeletal disorder and pain associated with smartphone use: A systematic review of biomechanical evidence. Hong Kong Physiotherapy Journal .2018;38: 1–14. [Google Scholar] [Crossref]

60. Mohamed Sherif Sirajudeen, Hariraja Muthusamy, Mazen Alqahtani. Etal. Computer-related health problems among university students in Majmaah region, Saudi Arabia. Biomedical Research 2018; 29 (11): 2405-2415. [Google Scholar] [Crossref]

61. Rakhadani PB, Goon DT, Mandeya A. Musculoskeletal Problems Associated with University Students Computer Users: A CrossSectional Study. Online J Health Allied Scs. 2017;16(2):7 [Google Scholar] [Crossref]

62. Hyo-Jeong Kim, Jin-Seop Kim. The relationship between smartphone use and subjective musculoskeletal symptoms and university students. J. Phys. Ther. Sci. 27: 575–579, 2015 [Google Scholar] [Crossref]

63. Giorgi Basilaia, Marine Dgebuadze, Mikheil Kantaria. Replacing the Classic Learning Form at Universities as an Immediate Response to the COVID-19 Virus Infection in Georgia.International Journal for Research in Applied Science & Engineering Technology (IJRASET). 2020;8;1:101-108 [Google Scholar] [Crossref]

64. Shivangi Dhawan Online Learning: A Panacea in the Time of COVID-19 Crisis. Journal of Educational Technology Systems 2020, Vol. 49(1) 5–22. [Google Scholar] [Crossref]

65. Peter Gardner, Helen Slater, Joanne E. Jordan etal. Physiotherapy students’ perspectives of online e-learning for interdisciplinary management of chronic health conditions: a qualitative study. Gardner et al. BMC Medical Education (2016) 16:62. [Google Scholar] [Crossref]

66. Poonam Gaur. Research Trends in E-Learning” highlighted. Media Communique 2015; 1 (1): 29-41 [Google Scholar] [Crossref]

67. Mortaza Mokhtari Nazarlou .Research on Negative Effect on E-Learning. International Journal of Mobile Network Communications & Telematics ( IJMNCT) 2013; 3, :2 [Google Scholar] [Crossref]

68. Xiaochi Zhang .E-learning and Intercultural Literacy. International Journal of Humanities and Social Science 2012;2: 7 [Google Scholar] [Crossref]

69. Dingyuan Zhao.E-Learning Platform and Modern Education. International Journal of e-Education, e-Business, e-Management and e-Learning 2011; 1:2. [Google Scholar] [Crossref]

70. Ayça AYTAR, Atahan ALTINTAS, Aydan AYTAR.Effects of posture and ergonomics training for students receiving distance education during the covid-19 pandemic on musculoskeletal pain, exercise behavior decision-making balance, and physical activity level. J Exerc Ther Rehabil. 2020;7(2):137-144. [Google Scholar] [Crossref]

71. Fahad Saad Algarni, Shaji John Kachanathu , Sami S. AlAbdulwahab. A Cross-Sectional Study on the Association of Patterns and Physical Risk Factors with Musculoskeletal Disorders among Academicians in Saudi Arabia..BioMed Research International 2020; 7. [Google Scholar] [Crossref]

72. Nuray Alaca, Elif Esma Safran, Asli İrem Karamanlargil etal.Translation and cross-cultural adaptation of the extended version of the Nordic musculoskeletal questionnaire into Turkish. J Musculoskelet Neuronal Interact 2019; 19(4):472-481. [Google Scholar] [Crossref]

73. Mohammad Didar Hossain, Afzal Aftab, Mahmudul Hassan Al Imam etal .Prevalence of work related musculoskeletal disorders (WMSDs) and ergonomic risk assessment among readymade garment workers of Bangladesh: A cross sectional study.2018 ;PLoS ONE 13(7): e0200122 [Google Scholar] [Crossref]

74. Elise P Legault, Vincent Cantin and Martin Descarreaux. Assessment of musculoskeletal symptoms and their impacts in the adolescent population: adaptation and validation of a questionnaire. BMC Pediatrics 2014, 14:173. [Google Scholar] [Crossref]

75. Anna P. Dawson, Emily J. Steele, Paul W. Hodges etal. Development and Test–Retest Reliability of an Extended Version of the Nordic Musculoskeletal Questionnaire (NMQ-E): A Screening Instrument for Musculoskeletal Pain. The Journal of Pain 2009; 10, No 5 : 517-526 [Google Scholar] [Crossref]

76. Descatha A, Roquelaure Y, Chastang JF etal .Validity of Nordic-style questionnaires in the surveillance of upper-limb work-related musculoskeletal disorders. Scand J Work Environ Health 2007;33(1):58–65. [Google Scholar] [Crossref]

77. Shima Safikhani, Katharine S. Gries, Jeremiah J. Trudeau etal .Response scale selection in adult pain measures: results from a literature review. Journal of Patient-Reported Outcomes (2018); 2:40 [Google Scholar] [Crossref]

78. Ozgur Karcioglu, Hakan Topacoglu, Ozgur Dikme etal .A systematic review of the pain scales in adults: Which to use. American Journal of Emergency Medicine 2018; 36:4 [Google Scholar] [Crossref]

79. Chi-Wen Chien, Karl S. Bagraith, Asaduzzaman Khan etal .Comparative Responsiveness of Verbal and Numerical Rating Scales to Measure Pain Intensity in Patients With Chronic Pain. Journal of Pain and Symptom Management2013;41:6 [Google Scholar] [Crossref]

80. Marianne Jensen Hjermstad, Peter M. Fayers, Dagny F. Haugen etal. Comparing Numerical Rating Scales, Verbal Rating Scales, and Visual Analogue Scales for Assessment of Pain Intensity in Adults A Systematic Literature Review. Journal of Pain and Symptom Management 2011;41:6 [Google Scholar] [Crossref]

81. Gillian A. Hawker, Samra Mian, Tetyana Kendzerska etal .Measures of Adult Pain. Arthritis Care & Research;63:11: S240 –S252. [Google Scholar] [Crossref]

82. Gallasch CH, Alexandre NMC. The measurement of musculoskeletal pain intensity: a comparison of four methods. Revista Gaúcha de Enfermagem 2007;28(2):260-5 [Google Scholar] [Crossref]

83. Amelia Williamson, Barbara Hoggart during a study entitled “Pain: a review of three commonly used pain rating scales. Journal of Clinical Nursing 2005;14:798–804. [Google Scholar] [Crossref]

84. Jenkins M, Menendez CC, Amick BC, Tullar J, Hupert N, Robertson MM, Katz JN. Undergraduate collage students’ upper extremity symptoms and functional limitations related to computer use: A replication study. Work 2007;28:231-238. [Google Scholar] [Crossref]

85. Gerr F, Marcus M, Ensor C et al. A prospective study of computer users: I. Study design and incidence of musculoskeletal symptoms and disorders. Am J Indus Med. 2002;41:221-235 [Google Scholar] [Crossref]

86. Eltayeb S, Staal JB, Hassan A, de Bie BA. Work related risk factors for neck, shoulder and arms complaints: A cohort study among Dutch computer office workers. J Occup Rehab. 2009;19:315-322 [Google Scholar] [Crossref]

87. Hakala PT, Rimpela AH, Saarni LA, Salminen JJ. Frequent computer related activities increase the risk of neck-shoulder and low back pain in adolescents. Eur J Public Health. 2006;16:536-41. [Google Scholar] [Crossref]

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