Volume 12, Issue 4 (Autumn 2023)                   J Occup Health Epidemiol 2023, 12(4): 242-250 | Back to browse issues page

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Akodu A K, Akanni B F, Osuntoki A A, Zibiri R A. Smartphone Addiction, Psychological Status, Insomnia, and Pain-related Disability of the Neck among Staff of College of Medicine, University of Lagos, 2022. J Occup Health Epidemiol 2023; 12 (4) :242-250
URL: http://johe.rums.ac.ir/article-1-674-en.html

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1- Associate Prof., Dept. of Physiotherapy, College of Medicine, University of Lagos, Lagos, Nigeria. , akoduashiyat@gmail.com
2- B.Sc. in Physiotherapy, Dept. of Physiotherapy, College of Medicine, University of Lagos, Lagos, Nigeria.
3- Professor, Dept. of Biochemistry, College of Medicine, University of Lagos, Lagos, Nigeria.
4- M.Sc. in Physiotherapy, Dept. of Rehabilitation Science, College of Technical and Vocational Education Kaduna Polytechnic, Kaduna, Nigeria.
Article history
Received: 2023/01/3
Accepted: 2023/11/4
ePublished: 2023/12/15
Abstract:   (89 Views)
Background: Smartphone is now an inevitable device for the populace, with its use growing progressively worldwide. There is lack of published literature focusing on the consequences of smartphone addiction on middle-aged and older adults in Nigeria. This study investigated the association between smartphone addiction, psychological status, insomnia and pain-related disability of the neck among staff of the College of Medicine, University of Lagos (CMUL).
Materials & Methods: This study involved the use of cross-sectional survey to investigate 271 (106 females, 165 males) staff of CMUL, Lagos, mean age (45.797±9.28 years) via purposive sampling technique in 2022. Four standard questionnaires were used for data collection; smart phone addiction scale (SAS), depression, anxiety and stress scale (DASS), neck pain disability index (NDI), and insomnia severity index (ISI).
Results: The results revealed that 80 (29.5%) staff of college of medicine were addicted to smartphone use. Eleven (4.1%) staff of this college had severe depression, 16 (5.9%) had extremely severe anxiety while nine (3.3%) were severely stressed. Nine (3.3%) participants had clinical insomnia and five (1.8%) had moderate to severe problem with their neck. It was revealed that there was a significant association between smartphone addiction, pain-related disability of the neck (p=0.023), and insomnia (p=0.001). However, no significant association existed between depression (p=0.578), anxiety (p=0.060), stress (0.685), and smartphone addiction level of the participants
Conclusion: Smartphone addiction is predominant among staff of CMUL, and it is associated with neck pain-related disability and insomnia.
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References
1. Arslan A, Tutgun Unal A. Examination of cell phone usage habits and purposes of Education faculty students. Int J Hum Sci. 2013;10(1):182-201. [Article]
2. Van Velthoven MH, Smith J, Wells G, Brindley D. Digital health app development standards: a systematic review protocol. BMJ Open. 2018;8(8):e022969. [DOI] [PMID] [PMCID]
3. Neupane S, Ali U, Mathew A. Text neck syndrome- Systematic review. Imp J interdiscip Res. 2017;3(7):141-8.
4. Gümüş İ, Örgev, C. A study on the possible effects of associate degree students' use of smart mobile phones on the levels of success and spending. Acad Platform. 2015;10(3):310-5.
5. Kim EY, Cho I, Kim EJ. Structural Equation Model of Smartphone Addiction Based on Adult Attachment Theory: Mediating Effects of Loneliness and Depression. Asian Nurs Res. 2017;11(2):92-7. [DOI]
6. Alhassan AA, Alqadhib EM, Taha NW, Alahmari RA, Salam M, Almutairi A.F. The relationship between addiction to smartphone usage and depression among adults: a cross-sectional study. BMC Psychiatry. 2018;18(1):148. [DOI] [PMID] [PMCID]
7. Lin TTC, Chiang YH, Jiang Q. Sociable people beware? Investigating smartphone vs. non-smartphone dependency symptoms among young Singaporeans. Soc Behav Pers. 2015;43(7):1209-16. [DOI]
8. Zencirci SA, Aygar H, Göktaş S, Önsüz MF, Alaiye M, Metintaş S. Evaluation of smartphone addiction and related factors among university students. Int J Res Med Sci. 2018;6(7):2210-6. [DOI]
9. Jin B, Park N. Mobile voice communication and loneliness: Cell phone use and the social skills deficit hypothesis. New Media Soc. 2013;15(7):1094-111. [DOI]
10. Akodu AK, Adenekan YA, Zibiri RA. Smartphone addiction, selected psychological status and clinical variables among undergraduates in a Nigerian population. S Afr J Public Health. 2020;4(3):71.
11. AL Mahrooqi AM, AL Agbari TA, AL Shidhani AS. The prevalence of smartphone addiction and its correlation with depression among higher college of technology students, Oman. Int J Res Med Sci, 2020;8(5):1833-7. [DOI]
12. Augner C, Hacker GW, Oberfeld G, Florian M, Hitzl W, Hutter J, et al. Effects of exposure to GSM mobile phone base station signals on salivary cortisol, alpha-amylase, and immunoglobulin A. Biomed Environ Sci. 2010;23(3):199-207. [DOI] [PMID]
13. Rotondia V, Stancab L, Tomasuolo M. Connecting alone: Smartphone use, quality of social interactions and well-being. J Econ Psychol. 2017;63:17-26. [DOI]
14. Grant JE, Potenza MN, Weinstein A, Gorelick DA. Introduction to behavioral addictions. Am J Drug Alcohol Abuse. 2010;36(5):233-41. [DOI] [PMID] [PMCID]
15. Ülkü EC, Demir MK. The Effects of Mass Media Tools on Classroom Behaviors of the Students. Int J Soc Sci. 2013;6(1):587-608. [DOI]
16. Allam S, Flowerday SV, Flowerday E. Smartphone information security awareness: A victim of operational pressures. Comput Secur. 2014;42:56-65. [DOI]
17. Sohn SY, Krasnoff L, Rees P, Kalk NJ, Carter B. The Association between Smartphone Addiction and Sleep: A UK Cross-Sectional Study of Young Adults. Front Psychiatry. 2021;12:629407. [DOI] [PMID] [PMCID]
18. Kumar VA, Chandrasekaran V, Brahadeeswari H. Prevalence of smartphone addiction and its effects on sleep quality: A cross-sectional study among medical students. Ind Psychiatry J. 2019;28(1):82-5. [DOI] [PMID] [PMCID]
19. Cain N, Gradisar M. Electronic media use and sleep in school-aged children and adolescents: A review. Sleep Med. 2010;11(8):735-42. [DOI] [PMID]
20. Thomée S, Härenstam A, Hagberg M. Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults--a prospective cohort study. BMC Public Health. 2011;11:66. [DOI] [PMID] [PMCID]
21. Dworak M, Schierl T, Bruns T, Strüder HK. Impact of singular excessive computer game and television exposure on sleep patterns and memory performance of school-aged children. Pediatrics. 2007; 120(5):978-85. [DOI] [PMID]
22. Huber R, Treyer V, Borbely AA, Schuderer J, Gottselig JM, Landolt HP, et al. Electromagnetic fields, such as those from mobile phones, alter regional cerebral blood flow and sleep and waking EEG. J Sleep Res. 2002;11(4):289-95. [DOI] [PMID]
23. Hysing M, Pallesen S, Stormark KM, Jakobsen R, Lundervold AJ, Sivertsen B. Sleep and use of electronic devices in adolescence: results from a large population-based study. BMJ Open. 2015;5(1):e006748. [DOI] [PMID] [PMCID]
24. Mustafaoglu R, Yasaci Z, Zirek E, Griffiths MD, Ozdincler AR. The relationship between smartphone addiction and musculoskeletal pain prevalence among young population: a cross-sectional study. Korean J Pain. 2021;34(1):72-81. [DOI] [PMID] [PMCID]
25. Berolo S, Wells RP, Amick BC 3rd. Musculoskeletal symptoms among mobile hand-held device users and their relationship to device use: A preliminary study in a Canadian university population. Appl Ergon. 2011;42(2):371-8. [DOI] [PMID]
26. Janwantanakul P, Sitthipornvorakul E, Paksaichol A. Risk factors for the onset of non-specific low back pain in office workers: A systematic review of prospective cohort studies. J Manipulative Physiol Ther. 2012;35(7):568-77. [DOI] [PMID]
27. Fernández-de-las-Peñas, C, Alonso-Blanco C, Cuadrado ML, Pareja JA. Forward head posture and neck mobility in chronic tension-type headache: a blinded, controlled study. Cephalalgia. 2006;26(3):314-9. [DOI] [PMID]
28. Gupta VK, Arora S, Gupta M. Computer-related illnesses and Facebook syndrome: what are they and how do we tackle them. Med Update. 2013;23:676-9.
29. Akodu AK, Akinbo SR, Young QO. Correlation among smartphone addiction, craniovertebral angle, scapular dyskinesis, and selected anthropometric variables in physiotherapy undergraduates. J Taibah Univ Med Sci. 2018;13(6):528-34. [DOI] [PMID] [PMCID]
30. Cochran WG. Sampling techniques. 3rd ed. New York, United States: John Wiley & Sons. Inc; 1977.
31. Kwon M, Lee JY, Won WY, Park JW, Min JA, Hahn C, et al. Development and Validation of a Smartphone Addiction Scale (SAS). PLoS One. 2013;8(2):e56936. [DOI] [PMID] [PMCID]
32. Lovibond PF, Mitchell CJ, Minard E, Brady A, Menzies RG. Safety behaviours preserve threat beliefs: protection from extinction of human fear conditioning by an avoidance response. Behav Res Ther. 2009;47(8):716-20. [DOI] [PMID]
33. 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. [DOI] [PMID]
34. Wheeler AH, Goolkasian P, Baird AC, Darden BV 2nd. Development of the Neck Pain and Disability Scale. Item analysis, face, and criterion-related validity. Spine (Phila Pa 1976). 1999;24(13):1290-4. [DOI] [PMID]
35. Jorritsma W, de Vries GE, Dijkstra PU, Geertzen JH, Reneman MF. Neck Pain and Disability Scale and Neck Disability Index: validity of Dutch language versions. Eur Spine J. 2012;21(1):93-100. [DOI] [PMID] [PMCID]
36. Bastien CH, Vallières A, Morin CM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med. 2001;2(4):297-307 [DOI] [PMID]
37. Morin CM, Belleville G, Bélanger L, Ivers H. The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. 2011;34(5):601-8. [DOI] [PMID] [PMCID]
38. Renuka K, Gopalakrishnan S, Umadevi R. Prevalence of smartphone addiction in an urban area of Kanchipuram district, Tamil Nadu: a cross-sectional study. Int J Community Med Public Health. 2019;6(10):4218-23. [DOI]
39. Cheever NA, Rosen LD, Carrier LM, Chavez A. Out of sight is not out of mind: The impact of restricting wireless mobile device use on anxiety levels among low, moderate and high users. Comput Human Behav. 37:290-7. [DOI]
40. Luk TT, Wang MP, Shen C, Wan A, Chau PH, Oliffe J, et al. Short version of the smartphone addiction scale in Chinese adults: psychometric properties, sociodemographic, and health behavioral correlates. J Behav Addict. 2018;7(4):1157-65. [DOI] [PMID] [PMCID]
41. Mirzaei M, Yasini Ardekani SM, Mirzaei M, Dehghani A. Prevalence of Depression, Anxiety and Stress among Adult Population: Results of Yazd Health Study. Iran J Psychiatry. 2019;14(2):137-46. [PMID] [PMCID]
42. Mirza AA, Milaat WA, Ramadan IK, Baig M, Elmorsy SA, Beyari GM. et al. Depression, anxiety and stress among medical and non-medical students in Saudi Arabia: An epidemiological comparative cross-sectional study. Neurosciences (Riyadh). 2021;26(2):141-51. [DOI] [PMID] [PMCID]
43. Genebra CVDS, Maciel NM, Bento TPF, Simeão SFAP, Vitta A. Prevalence and factors associated with neck pain: a population-based study. Braz J Phys Ther. 2017;21(4):274-80. [DOI] [PMID] [PMCID]
44. Chiu TT, Ku WY, Lee MH, Sum WK, Wan MP, Wong CY. A Study on the Prevalence of and Risk Factors for Neck Pain among University Academic Staff in Hong Kong. J Occup Rehabil. 2002;12(2):77-91. [DOI] [PMID]
45. Cao XL, Wang SB, Zhong BL, Zhang L, Ungvari GS, Ng CH, et al. The prevalence of insomnia in the general population in China: A meta-analysis. PLoS One. 2017;12(2):e0170772. [DOI] [PMID] [PMCID]
46. Akbulut Zencirci S, Aygar H, Göktaş S, Önsüz MF, Alaiye M, Metintaş S. Evaluation of smartphone addiction and related factors among university students. Int J Res Med Sci. 2018;6(7):2210-6. [DOI]
47. Oraison H, Nash-dolby O, Wilson B, Malhotra R. Smartphone distraction-addiction: Examining the relationship between psychosocial variables and patterns of use. Aust J Psychol. 2020;72(2):188-98. [DOI]
48. Suresh A, Sudhan SG, Mohan P, Ramalingam, AT. Impact of Smartphone Addiction on Neck Pain and Disability in University Students. J Clin Diagn Res. 2021;15(6):YC01-3. [DOI]
49. Raoofi Z, Sarrafzadeh J, Emrani A, Ghorbanpour A. Relationship between Forward Head Posture and Neck Pain as Well as Disability. J Clin Physiother Res. 2019;4(1):e5. [DOI]
50. Diab AA, Moustafa IM. The efficacy of forward head correction on nerve root function and pain in cervical spondylotic radiculopathy: a randomized trial. Clin Rehabil. 2012;26(4):351-61. [DOI] [PMID]
51. Foltran-Mescollotto F, Gonçalves ÉB, Castro-Carletti EM., Oliveira AB, Pelai EB, Rodrigues-Bigaton D. Smartphone addiction and the relationship with head and neck pain and electromiographic activity of masticatory muscles. Work. 2021;68(3):633-40. [DOI] [PMID]
52. Malaeb D, Salameh P, Barbar S, Awad E, Haddad C, Hallit R, et al. Problematic social media use and mental health (depression, anxiety, and insomnia) among Lebanese adults: Any mediating effect of stress? Perspect Psychiatr Care. 2021;57(2):539-49. [DOI] [PMID]

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