Academic Journal

Age-Related Patterns in Health Literacy and Health Information-Seeking Behavior in a Korean Population: Cross-Sectional Study.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Age-Related Patterns in Health Literacy and Health Information-Seeking Behavior in a Korean Population: Cross-Sectional Study.
Συγγραφείς: Kwon DH; Incheon Public Health Policy Institute, Incheon, Republic of Korea., Kwon YD; Department of Humanities and Social Medicine, College of Medicine, The Catholic University of Korea, 222 Banpo-Daero, Seocho-gu, Seoul, 06591, Republic of Korea, 82 2-3147-8303, 82 2-3147-8480.; Catholic Institute for Public Health and Healthcare Management, The Catholic University of Korea, Seoul, Republic of Korea.
Πηγή: JMIR public health and surveillance [JMIR Public Health Surveill] 2026 Sep 23; Vol. 12, pp. e86992. Date of Electronic Publication: 2026 Sep 23.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101669345 Publication Model: Electronic Cited Medium: Internet ISSN: 2369-2960 (Electronic) Linking ISSN: 23692960 NLM ISO Abbreviation: JMIR Public Health Surveill Subsets: MEDLINE
Imprint Name(s): Original Publication: Toronto : JMIR Publications, [2015]-
Ιατρικοί όροι (MeSH): Health Literacy*/statistics & numerical data , Health Literacy*/standards , Information Seeking Behavior*, Humans ; Republic of Korea ; Cross-Sectional Studies ; Adult ; Middle Aged ; Female ; Male ; Age Factors ; Aged ; Surveys and Questionnaires ; Young Adult
Περίληψη: Background: Health information-seeking behavior (HISB) is a critical component of personal health management. Health literacy (HL) shapes whether and how people seek health information, but its role across age groups remains underexplored. Korea's highly digitalized information environment and rapidly aging population provide an important context for examining age-group differences in HL and HISB.
Objective: This study examined age-group differences in the association of HL with 2 related stages of HISB-HISB experience and, conditional on engagement, source-based HISB type-and assessed whether the roles of HL, education, and health-related factors differed across age groups.
Methods: Cross-sectional data from the 2020-2021 Korea Health Panel and 2021 HL Supplementary Survey (N=7910) were analyzed. HL was measured using the European Health Literacy Survey Questionnaire-16-item (HLS-EU-Q16). HISB type was classified as source-based "active seeking" or "passive acquisition" according to the respondents' top-ranked information source. Age-stratified multivariable logistic regression was used for HISB experience and type, and sensitivity analyses examined age×HL interactions and potential selection into the HISB type sample.
Results: Mean HL scores were lower in older age groups (14.10, SD 2.94 in ages 19-44 years vs 8.34, SD 4.65 in ≥65 years). HISB prevalence was highest in the youngest group (1072/1608, 66.7%) and lowest in the oldest group (1052/3487, 30.2%). Among those who engaged in HISB, 92.7% (993/1072) of the youngest group and 48.2% (507/1052) of the oldest group were classified in the active-seeking category. Primary age-stratified and interaction analyses showed that HL was significantly associated with HISB experience and type among adults aged 45-64 and ≥65 years, but not among those aged 19-44 years, whereas education and health-related factors were more salient among younger adults. The HL-HISB type association was sensitive to modeling selection.
Conclusions: Age-group patterns were evident in HISB experience and source-based type. HL was a more prominent correlate among middle-aged and older adults, while education and health-related factors were more salient among younger adults. Age-tailored strategies that also consider structural, motivational, and digital-access factors alongside HL are needed.
(© Da Hae Kwon, Young Dae Kwon. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org).)
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Curr Opin Psychol. 2015 Oct 1;5:31-36. (PMID: 26086031)
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J Health Commun. 2017 Jan;22(1):53-65. (PMID: 28001489)
J Sch Health. 2012 Jan;82(1):28-36. (PMID: 22142172)
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J Gen Intern Med. 2006 Aug;21(8):847-51. (PMID: 16881945)
Cancer Manag Res. 2020 Jun 22;12:4829-4839. (PMID: 32606972)
Med Care. 2002 May;40(5):395-404. (PMID: 11961474)
J Gen Intern Med. 2004 Dec;19(12):1228-39. (PMID: 15610334)
Inf Process Manag. 2021 Mar;58(2):102440. (PMID: 33281273)
Qual Health Res. 2007 Oct;17(8):1006-19. (PMID: 17928475)
BMC Public Health. 2013 Mar 22;13:261. (PMID: 23521806)
J Med Internet Res. 2006 Jun 16;8(2):e9. (PMID: 16867972)
J Health Commun. 2016;21 Suppl 1:43-50. (PMID: 27043757)
Ann Intern Med. 2011 Jul 19;155(2):97-107. (PMID: 21768583)
BMC Oral Health. 2024 Oct 28;24(1):1307. (PMID: 39468496)
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BMC Public Health. 2025 Apr 15;25(1):1402. (PMID: 40234776)
J Adolesc Young Adult Oncol. 2016 Jun;5(2):106-18. (PMID: 26859721)
Inform Health Soc Care. 2016;41(1):1-19. (PMID: 25710808)
Health Educ Behav. 2025 Feb;52(1):113-121. (PMID: 39308078)
J Community Health Nurs. 2026 Apr-Jun;43(2):153-167. (PMID: 41294338)
J Med Internet Res. 2012 Jan 27;14(1):e19. (PMID: 22357448)
JMIR Public Health Surveill. 2026 Feb 17;12:e85904. (PMID: 41701926)
J Med Internet Res. 2022 Jan 18;24(1):e23656. (PMID: 35040796)
Health Commun. 2005;17(1):1-16. (PMID: 15590339)
J Aging Health. 2010 Sep;22(6):827-54. (PMID: 20595098)
Am Fam Physician. 2005 Aug 1;72(3):463-8. (PMID: 16100861)
Soc Sci Med. 2005 Apr;60(7):1467-78. (PMID: 15652680)
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JMIR Public Health Surveill. 2021 Nov 23;7(11):e26660. (PMID: 34817383)
BMC Med Inform Decis Mak. 2020 Aug 6;20(1):181. (PMID: 32762745)
Interact J Med Res. 2024 Aug 12;13:e53672. (PMID: 39133916)
Health Qual Life Outcomes. 2016 May 04;14:68. (PMID: 27142865)
J Med Internet Res. 2026 Jun 16;28:e82081. (PMID: 42303245)
Health Expect. 2008 Jun;11(2):113-22. (PMID: 18494956)
BMC Med Res Methodol. 2018 Aug 31;18(1):90. (PMID: 30170561)
Interact J Med Res. 2026 Jul 14;15:e84818. (PMID: 42447448)
J Health Commun. 2016 Sep;21(9):989-1005. (PMID: 27466828)
Cyberpsychol Behav. 2006 Aug;9(4):494-8. (PMID: 16901253)
J Med Internet Res. 2023 Oct 30;25:e47595. (PMID: 37902832)
J Am Med Inform Assoc. 2016 Nov;23(6):1053-1059. (PMID: 27206459)
Contributed Indexing: Keywords: Korea; age differences; health information–seeking behavior; health literacy; internet use; logistic models
Entry Date(s): Date Created: 20260923 Date Completed: 20260923 Latest Revision: 20260925
Update Code: 20260925
PubMed Central ID: PMC13600592
DOI: 10.2196/86992
PMID: 42777145
Βάση Δεδομένων: MEDLINE
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  Data: Age-Related Patterns in Health Literacy and Health Information-Seeking Behavior in a Korean Population: Cross-Sectional Study.
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  Data: <searchLink fieldCode="AU" term="%22Kwon+DH%22">Kwon DH</searchLink>; Incheon Public Health Policy Institute, Incheon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kwon+YD%22">Kwon YD</searchLink>; Department of Humanities and Social Medicine, College of Medicine, The Catholic University of Korea, 222 Banpo-Daero, Seocho-gu, Seoul, 06591, Republic of Korea, 82 2-3147-8303, 82 2-3147-8480.; Catholic Institute for Public Health and Healthcare Management, The Catholic University of Korea, Seoul, Republic of Korea.
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  Data: Background: Health information-seeking behavior (HISB) is a critical component of personal health management. Health literacy (HL) shapes whether and how people seek health information, but its role across age groups remains underexplored. Korea's highly digitalized information environment and rapidly aging population provide an important context for examining age-group differences in HL and HISB.<br />Objective: This study examined age-group differences in the association of HL with 2 related stages of HISB-HISB experience and, conditional on engagement, source-based HISB type-and assessed whether the roles of HL, education, and health-related factors differed across age groups.<br />Methods: Cross-sectional data from the 2020-2021 Korea Health Panel and 2021 HL Supplementary Survey (N=7910) were analyzed. HL was measured using the European Health Literacy Survey Questionnaire-16-item (HLS-EU-Q16). HISB type was classified as source-based "active seeking" or "passive acquisition" according to the respondents' top-ranked information source. Age-stratified multivariable logistic regression was used for HISB experience and type, and sensitivity analyses examined age×HL interactions and potential selection into the HISB type sample.<br />Results: Mean HL scores were lower in older age groups (14.10, SD 2.94 in ages 19-44 years vs 8.34, SD 4.65 in ≥65 years). HISB prevalence was highest in the youngest group (1072/1608, 66.7%) and lowest in the oldest group (1052/3487, 30.2%). Among those who engaged in HISB, 92.7% (993/1072) of the youngest group and 48.2% (507/1052) of the oldest group were classified in the active-seeking category. Primary age-stratified and interaction analyses showed that HL was significantly associated with HISB experience and type among adults aged 45-64 and ≥65 years, but not among those aged 19-44 years, whereas education and health-related factors were more salient among younger adults. The HL-HISB type association was sensitive to modeling selection.<br />Conclusions: Age-group patterns were evident in HISB experience and source-based type. HL was a more prominent correlate among middle-aged and older adults, while education and health-related factors were more salient among younger adults. Age-tailored strategies that also consider structural, motivational, and digital-access factors alongside HL are needed.<br /> (© Da Hae Kwon, Young Dae Kwon. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org).)
– Name: Ref
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(PMID: <searchLink fieldCode="PM" term="%2235171099%22">35171099)</searchLink><br />Orthop Nurs. 2007 Jan-Feb;26(1):43-8. (PMID: <searchLink fieldCode="PM" term="%2217273109%22">17273109)</searchLink><br />Health Commun. 2017 Aug;32(8):1024-1031. (PMID: <searchLink fieldCode="PM" term="%2227464036%22">27464036)</searchLink><br />J Gen Intern Med. 2006 Aug;21(8):847-51. (PMID: <searchLink fieldCode="PM" term="%2216881945%22">16881945)</searchLink><br />Cancer Manag Res. 2020 Jun 22;12:4829-4839. (PMID: <searchLink fieldCode="PM" term="%2232606972%22">32606972)</searchLink><br />Med Care. 2002 May;40(5):395-404. (PMID: <searchLink fieldCode="PM" term="%2211961474%22">11961474)</searchLink><br />J Gen Intern Med. 2004 Dec;19(12):1228-39. (PMID: <searchLink fieldCode="PM" term="%2215610334%22">15610334)</searchLink><br />Inf Process Manag. 2021 Mar;58(2):102440. (PMID: <searchLink fieldCode="PM" term="%2233281273%22">33281273)</searchLink><br />Qual Health Res. 2007 Oct;17(8):1006-19. (PMID: <searchLink fieldCode="PM" term="%2217928475%22">17928475)</searchLink><br />BMC Public Health. 2013 Mar 22;13:261. (PMID: <searchLink fieldCode="PM" term="%2223521806%22">23521806)</searchLink><br />J Med Internet Res. 2006 Jun 16;8(2):e9. (PMID: <searchLink fieldCode="PM" term="%2216867972%22">16867972)</searchLink><br />J Health Commun. 2016;21 Suppl 1:43-50. (PMID: <searchLink fieldCode="PM" term="%2227043757%22">27043757)</searchLink><br />Ann Intern Med. 2011 Jul 19;155(2):97-107. (PMID: <searchLink fieldCode="PM" term="%2221768583%22">21768583)</searchLink><br />BMC Oral Health. 2024 Oct 28;24(1):1307. (PMID: <searchLink fieldCode="PM" term="%2239468496%22">39468496)</searchLink><br />Health Commun. 2025 Aug;40(9):1684-1695. (PMID: <searchLink fieldCode="PM" term="%2239434584%22">39434584)</searchLink><br />BMC Public Health. 2023 Feb 10;23(1):304. 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