The impact of digital literacy in enhancing individuals' health in China.

Jing Yang, Qianyu Shen, Xi Tong, Pundarik Mukhopadhaya
Author Information
  1. Jing Yang: College of Finance, Jiangxi Normal University, Nanchang, China. soutechust@163.com. ORCID
  2. Qianyu Shen: College of Finance, Jiangxi Normal University, Nanchang, China.
  3. Xi Tong: Jiangxi University of Finance and Economics, Nanchang, China.
  4. Pundarik Mukhopadhaya: Economics Department, Macquarie University, Sydney, Australia. ORCID

Abstract

BACKGROUND: Health is the cornerstone of individual well-being and a vital factor in socioeconomic development. In an increasingly digitalized world, digital literacy has emerged as one of the indispensable abilities, which not only pertains to an individual's capacity to acquire, analyze, evaluate, and utilize information but also profoundly influences their health behaviours, health decisions, and overall well-being. This paper uses the 2020 China Family Panel Studies (CFPS) data to explore digital literacy's impact on individuals' health.
METHODS: By using the Entropy-TOPSIS method, this paper calculates digital literacy as a three-dimensional construct and adopts Ordered Probit and OLS models to analyze the impact of digital literacy on physical and mental health. Additionally, this paper employs the Two-Stage Least Squares (2SLS) to address endogeneity issues. The indirect effects of income, employment quality, and informal social support on individual's digital literacy and health nexus are also examined by the mediation effect model.
RESULTS: The results indicate that digital literacy positively impacts individuals' physical and mental health, which was confirmed by several robustness tests. The heterogeneity analysis shows that digital literacy is more effective in enhancing the health of middle-aged and older groups as well as rural individuals in China. According to mechanism analysis, digital literacy can enhance individuals' health by boosting income, improving employment quality, and expanding informal social support; however, the effects vary on physical and mental health.
CONCLUSION: Several policy suggestions emanate from the findings. To enhance the positive impact of digital literacy on individuals' health, the policy makers should emphasize on enhancing digital literacy particularly in rural areas and older age groups, bridging the digital divide, refining employment services and embracing a healthy concept of online social networking.

Keywords

References

  1. Pediatrics. 2011 Feb;127(2):e330-5 [PMID: 21242218]
  2. Econ Hum Biol. 2020 Dec;39:100901 [PMID: 32673986]
  3. Health Promot J Austr. 2021 Feb;32 Suppl 1:104-114 [PMID: 32681656]
  4. J Gerontol. 1993 Nov;48(6):P282-91 [PMID: 8228001]
  5. Comput Inform Nurs. 2014 Sep;32(9):458-63 [PMID: 25105588]
  6. J Appl Gerontol. 2017 Jan;36(1):29-55 [PMID: 26491029]
  7. J Med Internet Res. 2020 Jun 2;22(6):e19361 [PMID: 32452816]
  8. J Health Econ. 1987 Dec;6(4):283-90 [PMID: 10285438]
  9. Int J Environ Res Public Health. 2022 Jan 04;19(1): [PMID: 35010781]
  10. J Gen Intern Med. 2019 Sep;34(9):1884-1891 [PMID: 31228051]
  11. Soc Sci Med. 2015 May;132:88-94 [PMID: 25795992]
  12. Health Commun. 2019 Jul;34(8):859-871 [PMID: 29474125]
  13. J Gerontol Nurs. 2020 Aug 1;46(8):46-56 [PMID: 32936926]
  14. Int J Environ Res Public Health. 2020 Sep 07;17(18): [PMID: 32906700]
  15. Health Commun. 2004;16(3):273-88 [PMID: 15265751]
  16. Healthcare (Basel). 2021 May 10;9(5): [PMID: 34068702]
  17. J Marital Fam Ther. 2010 Jan;36(1):13-27 [PMID: 20074121]
  18. BMC Health Serv Res. 2022 Sep 5;22(1):1122 [PMID: 36064389]
  19. Support Care Cancer. 2011 Aug;19(8):1183-90 [PMID: 20556435]
  20. BMC Public Health. 2024 Jan 25;24(1):302 [PMID: 38273305]
  21. Health Econ. 2009 Jan;18(1):71-89 [PMID: 18311856]
  22. J Health Soc Behav. 1997 Mar;38(1):21-37 [PMID: 9097506]
  23. Soc Sci Med. 2017 Oct;191:9-18 [PMID: 28881216]
  24. JAMA Intern Med. 2021 May 1;181(5):699-702 [PMID: 33252615]
  25. Psychooncology. 2014 Oct;23(10):1196-9 [PMID: 24639118]
  26. BMC Public Health. 2023 Apr 3;23(1):630 [PMID: 37013502]
  27. J Health Commun. 2015;20(9):1067-83 [PMID: 26165846]
  28. J Pers Soc Psychol. 1986 Dec;51(6):1173-82 [PMID: 3806354]
  29. Cyberpsychol Behav Soc Netw. 2015 May;18(5):268-72 [PMID: 25919967]
  30. J Health Commun. 2017 Jan;22(1):53-65 [PMID: 28001489]
  31. J Med Internet Res. 2015 Aug 24;17(8):e207 [PMID: 26303434]
  32. J Public Health Manag Pract. 2017 Jul/Aug;23(4):380-387 [PMID: 26672402]
  33. JMIR Hum Factors. 2021 Dec 15;8(4):e33364 [PMID: 34705664]
  34. Front Public Health. 2022 Jun 09;10:935608 [PMID: 35757602]
  35. Front Public Health. 2020 Jun 18;8:231 [PMID: 32626678]
  36. J Med Internet Res. 2017 Sep 11;19(9):e317 [PMID: 28893724]
  37. Internet Interv. 2022 Feb 07;27:100500 [PMID: 35242586]
  38. J Med Internet Res. 2022 Feb 22;24(2):e33819 [PMID: 35191848]
  39. Aging Ment Health. 2022 Mar;26(3):544-553 [PMID: 33438448]
  40. BMC Public Health. 2015 Sep 29;15:985 [PMID: 26419739]
  41. J Am Acad Child Adolesc Psychiatry. 1991 Jul;30(4):636-41 [PMID: 1890099]
  42. Front Psychol. 2022 Dec 19;13:976723 [PMID: 36600714]
  43. J Med Internet Res. 2019 Nov 26;21(11):e13140 [PMID: 31769760]
  44. BMC Psychiatry. 2021 Sep 23;21(1):463 [PMID: 34556088]
  45. Health Commun. 2018 Dec;33(12):1410-1424 [PMID: 28872905]
  46. J Med Internet Res. 2017 Dec 19;19(12):e392 [PMID: 29258979]
  47. PLOS Digit Health. 2023 Oct 12;2(10):e0000279 [PMID: 37824584]
  48. BMJ Open. 2022 Jul 26;12(7):e061024 [PMID: 35882466]
  49. Heart Lung. 2005 Jan-Feb;34(1):3-12 [PMID: 15647729]
  50. J Med Internet Res. 2021 Apr 14;23(4):e24577 [PMID: 33784240]
  51. PLoS Med. 2011 Jan 18;8(1):e1000387 [PMID: 21267058]
  52. J Med Internet Res. 2023 Jan 30;25:e40778 [PMID: 36716080]
  53. Front Public Health. 2022 Nov 25;10:1072398 [PMID: 36504989]
  54. Addict Behav. 2019 Mar;90:428-436 [PMID: 30579146]
  55. JMIR Public Health Surveill. 2024 Feb 21;10:e48685 [PMID: 38381497]
  56. J Appl Gerontol. 2014 Apr;33(3):316-35 [PMID: 24717738]
  57. J Med Internet Res. 2006 Nov 14;8(4):e27 [PMID: 17213046]
  58. J Am Med Inform Assoc. 2016 Nov;23(6):1053-1059 [PMID: 27206459]

Grants

  1. 20YJ12/Jiangxi Social Science Fund

MeSH Term

Humans
China
Adult
Middle Aged
Male
Female
Young Adult
Mental Health
Computer Literacy
Health Status
Aged
Adolescent
Social Support
Health Literacy
Digital Technology

Word Cloud

Created with Highcharts 10.0.0healthdigitalliteracyindividuals'impactsocialpaperChinaphysicalmentalemploymentqualitysupportenhancingwell-beingindividual'sanalyzealsoeffectsincomeinformalanalysisoldergroupsruralenhancepolicyBACKGROUND:Healthcornerstoneindividualvitalfactorsocioeconomicdevelopmentincreasinglydigitalizedworldemergedoneindispensableabilitiespertainscapacityacquireevaluateutilizeinformationprofoundlyinfluencesbehavioursdecisionsoveralluses2020FamilyPanelStudiesCFPSdataexploreliteracy'sMETHODS:usingEntropy-TOPSISmethodcalculatesthree-dimensionalconstructadoptsOrderedProbitOLSmodelsAdditionallyemploysTwo-StageLeastSquares2SLSaddressendogeneityissuesindirectnexusexaminedmediationeffectmodelRESULTS:resultsindicatepositivelyimpactsconfirmedseveralrobustnesstestsheterogeneityshowseffectivemiddle-agedwellindividualsAccordingmechanismcanboostingimprovingexpandinghowevervaryCONCLUSION:SeveralsuggestionsemanatefindingspositivemakersemphasizeparticularlyareasagebridgingdividerefiningservicesembracinghealthyconceptonlinenetworkingDigitalEmploymentIncomeInformalMentalPhysical

Similar Articles

Cited By

No available data.