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Published in: BMC Geriatrics 1/2023

Open Access 01-12-2023 | Care | Research

The prevalence of eHealth literacy and its relationship with perceived health status and psychological distress during Covid-19: a cross-sectional study of older adults in Blekinge, Sweden

Authors: Sarah Nauman Ghazi, Jessica Berner, Peter Anderberg, Johan Sanmartin Berglund

Published in: BMC Geriatrics | Issue 1/2023

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Abstract

Background and aims

eHealth literacy is important as it influences health-promoting behaviors and health. The ability to use eHealth resources is essential to maintaining health, especially during COVID-19 when both physical and psychological health were affected. This study aimed to assess the prevalence of eHealth literacy and its association with psychological distress and perceived health status among older adults in Blekinge, Sweden. Furthermore, this study aimed to assess if perceived health status influences the association between eHealth literacy and psychological distress.

Methods

This cross-sectional study (October 2021-December 2021) included 678 older adults’ as participants of the Swedish National Study on Aging and Care, Blekinge (SNAC-B). These participants were sent questionnaires about their use of Information and Communications Technology (ICT) during the COVID-19 pandemic. In this study, we conducted the statistical analysis using the Kruskal-Wallis one-way analysis of variance, Kendall’s tau-b rank correlation, and multiple linear regression.

Results

We found that 68.4% of the participants had moderate to high levels of eHealth literacy in the population. Being female, age \(< 75\) years, and having a higher education are associated with high eHealth literacy (\(p< 0.05\)). eHealth literacy is significantly correlated (\(\tau\)=0.12, p-value=0.002) and associated with perceived health status (\(\beta\)=0.39, p-value=0.008). It is also significantly correlated (\(\tau\)=-0.12, p-value=0.001) and associated with psychological distress (\(\beta\)=-0.14, p-value=0.002). The interaction of eHealth literacy and good perceived health status reduced psychological distress (\(\beta\)=-0.30, p-value=0.002).

Conclusions

In our cross-sectional study, we found that the point prevalence of eHealth literacy among older adults living in Blekinge, Sweden is moderate to high, which is a positive finding. However, there are still differences among older adults based on factors such as being female, younger than 75 years, highly educated, in good health, and without psychological distress. The results indicated that psychological distress could be mitigated during the pandemic by increasing eHealth literacy and maintaining good health status.
Literature
1.
go back to reference Fahy N, Williams GA, Habicht T, Köhler K, Jormanainen V, Satokangas M, et al. Use of digital health tools in Europe: Before, during and after COVID-19 [Internet]. Copenhagen: European Observatory on Health Systems and Policies; 2021. Fahy N, Williams GA, Habicht T, Köhler K, Jormanainen V, Satokangas M, et al. Use of digital health tools in Europe: Before, during and after COVID-19 [Internet]. Copenhagen: European Observatory on Health Systems and Policies; 2021.
2.
go back to reference Beridze G, Triolo F, Grande G, Fratiglioni L, Calderón-Larrañaga A. COVID-19 collateral damage-psychological burden and behavioural changes among older adults during the first outbreak in Stockholm, Sweden: a cross-sectional study. BMJ Open. 2022;12(1):e058422.CrossRef Beridze G, Triolo F, Grande G, Fratiglioni L, Calderón-Larrañaga A. COVID-19 collateral damage-psychological burden and behavioural changes among older adults during the first outbreak in Stockholm, Sweden: a cross-sectional study. BMJ Open. 2022;12(1):e058422.CrossRef
4.
go back to reference Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507–13.CrossRef Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507–13.CrossRef
5.
go back to reference Calisher C, Carroll D, Colwell R, Corley RB, Daszak P, Drosten C, et al. Statement in support of the scientists, public health professionals, and medical professionals of China combatting COVID-19. Lancet. 2020;395(10226):e42–3.CrossRef Calisher C, Carroll D, Colwell R, Corley RB, Daszak P, Drosten C, et al. Statement in support of the scientists, public health professionals, and medical professionals of China combatting COVID-19. Lancet. 2020;395(10226):e42–3.CrossRef
6.
go back to reference Şentürk E, Geniş B, Menkü BE, Cosar B, et al. The effects of social media news that users trusted and verified on anxiety level and disease control perception in COVID-19 pandemic. Turkish J Clin Psychiatry. 2021;24:23–32.CrossRef Şentürk E, Geniş B, Menkü BE, Cosar B, et al. The effects of social media news that users trusted and verified on anxiety level and disease control perception in COVID-19 pandemic. Turkish J Clin Psychiatry. 2021;24:23–32.CrossRef
7.
go back to reference Vismara M, Vitella D, Biolcati R, Ambrosini F, Pirola V, Dell’Osso B, et al. The Impact of COVID-19 Pandemic on Searching for Health-Related Information and Cyberchondria on the General Population in Italy. Front Psychiatry. 2021;12:1753. Vismara M, Vitella D, Biolcati R, Ambrosini F, Pirola V, Dell’Osso B, et al. The Impact of COVID-19 Pandemic on Searching for Health-Related Information and Cyberchondria on the General Population in Italy. Front Psychiatry. 2021;12:1753.
8.
go back to reference Norman CD, Skinner HA. eHealth literacy: essential skills for consumer health in a networked world. J Med Internet Res. 2006;8(2):e506.CrossRef Norman CD, Skinner HA. eHealth literacy: essential skills for consumer health in a networked world. J Med Internet Res. 2006;8(2):e506.CrossRef
9.
go back to reference Siebenhaar KU, Köther AK, Alpers GW. Dealing with the COVID-19 infodemic: Distress by information, information avoidance, and compliance with preventive measures. Front Psychol. 2020;11:2981. Siebenhaar KU, Köther AK, Alpers GW. Dealing with the COVID-19 infodemic: Distress by information, information avoidance, and compliance with preventive measures. Front Psychol. 2020;11:2981.
10.
go back to reference Nimrod G. Changes in internet use when coping with stress: older adults during the COVID-19 pandemic. Am J Geriatr Psychiatr. 2020;28(10):1020–4.CrossRef Nimrod G. Changes in internet use when coping with stress: older adults during the COVID-19 pandemic. Am J Geriatr Psychiatr. 2020;28(10):1020–4.CrossRef
11.
go back to reference Longo DR. Understanding health information, communication, and information seeking of patients and consumers: a comprehensive and integrated model. Health Expect Int J Public Particip Health Care Health Policy. 2005;8(3):189. Longo DR. Understanding health information, communication, and information seeking of patients and consumers: a comprehensive and integrated model. Health Expect Int J Public Particip Health Care Health Policy. 2005;8(3):189.
12.
go back to reference Li X, Liu Q, et al. Social media use, eHealth literacy, disease knowledge, and preventive behaviors in the COVID-19 pandemic: Cross-sectional study on Chinese netizens. J Med Internet Res. 2020;22(10):e19684.CrossRef Li X, Liu Q, et al. Social media use, eHealth literacy, disease knowledge, and preventive behaviors in the COVID-19 pandemic: Cross-sectional study on Chinese netizens. J Med Internet Res. 2020;22(10):e19684.CrossRef
13.
go back to reference Xie L, Zhang S, Xin M, Zhu M, Lu W, Mo PKH. Electronic health literacy and health-related outcomes among older adults: A systematic review. Prev Med. 2022;157:106997.CrossRef Xie L, Zhang S, Xin M, Zhu M, Lu W, Mo PKH. Electronic health literacy and health-related outcomes among older adults: A systematic review. Prev Med. 2022;157:106997.CrossRef
14.
go back to reference Neter E, Brainin E, Baron-Epel O. Group differences in health literacy are ameliorated in ehealth literacy. Health Psychol Behav Med. 2021;9(1):480–97.CrossRef Neter E, Brainin E, Baron-Epel O. Group differences in health literacy are ameliorated in ehealth literacy. Health Psychol Behav Med. 2021;9(1):480–97.CrossRef
15.
go back to reference Anderberg P, Skär L, Abrahamsson L, Berglund JS. Older people’s use and nonuse of the internet in Sweden. Int J Environ Res Public Health. 2020;17(23):9050.CrossRef Anderberg P, Skär L, Abrahamsson L, Berglund JS. Older people’s use and nonuse of the internet in Sweden. Int J Environ Res Public Health. 2020;17(23):9050.CrossRef
16.
go back to reference Friemel TN. The digital divide has grown old: Determinants of a digital divide among seniors. New Media Soc. 2016;18(2):313–31.CrossRef Friemel TN. The digital divide has grown old: Determinants of a digital divide among seniors. New Media Soc. 2016;18(2):313–31.CrossRef
17.
go back to reference Xie B, et al. Effects of an eHealth literacy intervention for older adults. J Med Internet Res. 2011;13(4):e1880.CrossRef Xie B, et al. Effects of an eHealth literacy intervention for older adults. J Med Internet Res. 2011;13(4):e1880.CrossRef
18.
go back to reference Castarlenas E, Sánchez-Rodríguez E, Roy R, Tomé-Pires C, Solé E, Jensen MP, et al. Electronic Health Literacy in Individuals with Chronic Pain and Its Association with Psychological Function. Int J Environ Res Public Health. 2021;18(23):12528.CrossRef Castarlenas E, Sánchez-Rodríguez E, Roy R, Tomé-Pires C, Solé E, Jensen MP, et al. Electronic Health Literacy in Individuals with Chronic Pain and Its Association with Psychological Function. Int J Environ Res Public Health. 2021;18(23):12528.CrossRef
19.
go back to reference Yang BX, Xia L, Huang R, Chen P, Luo D, Liu Q, et al. Relationship between eHealth literacy and psychological status during COVID-19 pandemic: A survey of Chinese residents. J Nurs Manag. 2021;29(4):805–12.CrossRef Yang BX, Xia L, Huang R, Chen P, Luo D, Liu Q, et al. Relationship between eHealth literacy and psychological status during COVID-19 pandemic: A survey of Chinese residents. J Nurs Manag. 2021;29(4):805–12.CrossRef
20.
go back to reference Özkan O, Özer Ö, Özmen S, Budak F. Investigation of the Perceived Coronavirus Threat, E-Health Literacy, and Psychological Well-Being in Turkey. Soc Work Public Health. 2022;37(2):122–34.CrossRef Özkan O, Özer Ö, Özmen S, Budak F. Investigation of the Perceived Coronavirus Threat, E-Health Literacy, and Psychological Well-Being in Turkey. Soc Work Public Health. 2022;37(2):122–34.CrossRef
21.
go back to reference Choi NG, DiNitto DM. The digital divide among low-income homebound older adults: Internet use patterns, eHealth literacy, and attitudes toward computer/Internet use. J Med Internet Res. 2013;15(5):e2645.CrossRef Choi NG, DiNitto DM. The digital divide among low-income homebound older adults: Internet use patterns, eHealth literacy, and attitudes toward computer/Internet use. J Med Internet Res. 2013;15(5):e2645.CrossRef
22.
go back to reference Viertiö S, Kiviruusu O, Piirtola M, Kaprio J, Korhonen T, Marttunen M, et al. Factors contributing to psychological distress in the working population, with a special reference to gender difference. BMC Public Health. 2021;21(1):1–17.CrossRef Viertiö S, Kiviruusu O, Piirtola M, Kaprio J, Korhonen T, Marttunen M, et al. Factors contributing to psychological distress in the working population, with a special reference to gender difference. BMC Public Health. 2021;21(1):1–17.CrossRef
23.
go back to reference Dahlberg L. Loneliness during the COVID-19 pandemic. Taylor & Francis; 2021. Dahlberg L. Loneliness during the COVID-19 pandemic. Taylor & Francis; 2021.
24.
go back to reference Beutel ME, Klein EM, Brähler E, Reiner I, Jünger C, Michal M, et al. Loneliness in the general population: prevalence, determinants and relations to mental health. BMC Psychiatry. 2017;17(1):1–7.CrossRef Beutel ME, Klein EM, Brähler E, Reiner I, Jünger C, Michal M, et al. Loneliness in the general population: prevalence, determinants and relations to mental health. BMC Psychiatry. 2017;17(1):1–7.CrossRef
25.
go back to reference Calixte R, Rivera A, Oridota O, Beauchamp W, Camacho-Rivera M. Social and demographic patterns of health-related Internet use among adults in the United States: a secondary data analysis of the health information national trends survey. Int J Environ Res Public Health. 2020;17(18):6856.CrossRef Calixte R, Rivera A, Oridota O, Beauchamp W, Camacho-Rivera M. Social and demographic patterns of health-related Internet use among adults in the United States: a secondary data analysis of the health information national trends survey. Int J Environ Res Public Health. 2020;17(18):6856.CrossRef
26.
go back to reference Lagergren M, Fratiglioni L, Hallberg IR, Berglund J, Elmståhl S, Hagberg B, et al. A longitudinal study integrating population, care and social services data. The Swedish National study on Aging and Care (SNAC). Aging Clin Exp Res. 2004;16(2):158–68.CrossRef Lagergren M, Fratiglioni L, Hallberg IR, Berglund J, Elmståhl S, Hagberg B, et al. A longitudinal study integrating population, care and social services data. The Swedish National study on Aging and Care (SNAC). Aging Clin Exp Res. 2004;16(2):158–68.CrossRef
27.
go back to reference Norman CD, Skinner HA. eHEALS: the eHealth literacy scale. J Med Internet Res. 2006;8(4):e507.CrossRef Norman CD, Skinner HA. eHEALS: the eHealth literacy scale. J Med Internet Res. 2006;8(4):e507.CrossRef
28.
go back to reference Wångdahl J, Jaensson M, Dahlberg K, Nilsson U, et al. The Swedish version of the electronic health literacy scale: prospective psychometric evaluation study including thresholds levels. JMIR mHealth uHealth. 2020;8(2):e16316.CrossRef Wångdahl J, Jaensson M, Dahlberg K, Nilsson U, et al. The Swedish version of the electronic health literacy scale: prospective psychometric evaluation study including thresholds levels. JMIR mHealth uHealth. 2020;8(2):e16316.CrossRef
29.
go back to reference Monkman H, Kushniruk AW, Barnett J, Borycki EM, Greiner LE, Sheets D. Are Health Literacy and eHealth Literacy the Same or Different? Stud Health Technol Inform. 2017;245:178-82. PMID: 29295077. Monkman H, Kushniruk AW, Barnett J, Borycki EM, Greiner LE, Sheets D. Are Health Literacy and eHealth Literacy the Same or Different? Stud Health Technol Inform. 2017;245:178-82. PMID: 29295077.
30.
go back to reference Goldberg DP. User’s guide to the General Health Questionnaire. Windsor; NFER-NELSON; 1988. Goldberg DP. User’s guide to the General Health Questionnaire. Windsor; NFER-NELSON; 1988.
31.
go back to reference Parker SL, Jimmieson NL, Amiot CE. Self-determination as a moderator of demands and control: Implications for employee strain and engagement. J Vocat Behav. 2010;76(1):52–67.CrossRef Parker SL, Jimmieson NL, Amiot CE. Self-determination as a moderator of demands and control: Implications for employee strain and engagement. J Vocat Behav. 2010;76(1):52–67.CrossRef
32.
go back to reference Xie B. Older adults’ health information wants in the Internet age: Implications for patient-provider relationships. J Health Commun. 2009;14(6):510–24.CrossRef Xie B. Older adults’ health information wants in the Internet age: Implications for patient-provider relationships. J Health Commun. 2009;14(6):510–24.CrossRef
33.
go back to reference Jung SO, Son YH, Choi E. E-health literacy in older adults: an evolutionary concept analysis. BMC Med Inform Decis Mak. 2022;22(1):1–13.CrossRef Jung SO, Son YH, Choi E. E-health literacy in older adults: an evolutionary concept analysis. BMC Med Inform Decis Mak. 2022;22(1):1–13.CrossRef
34.
go back to reference Bazzano A, Monnette A, Wharton M, Price-Haywood E, Nauman E, Dominick P, et al. Older patients’ preferences and views related to non-face-to-face diabetes chronic care management: a qualitative study from southeast Louisiana. Patient Prefer Adherence. 2019;13:901.CrossRef Bazzano A, Monnette A, Wharton M, Price-Haywood E, Nauman E, Dominick P, et al. Older patients’ preferences and views related to non-face-to-face diabetes chronic care management: a qualitative study from southeast Louisiana. Patient Prefer Adherence. 2019;13:901.CrossRef
35.
go back to reference Good A, Stokes S, Jerrams-Smith J. Elderly, novice users and health information web sites: issues of accessibility and usability. J Healthc Inf Manag: JHIM. 2007;21(3):72–9. Good A, Stokes S, Jerrams-Smith J. Elderly, novice users and health information web sites: issues of accessibility and usability. J Healthc Inf Manag: JHIM. 2007;21(3):72–9.
36.
go back to reference Bidmon S, Terlutter R. Gender differences in searching for health information on the internet and the virtual patient-physician relationship in Germany: exploratory results on how men and women differ and why. J Med Internet Res. 2015;17(6):e4127.CrossRef Bidmon S, Terlutter R. Gender differences in searching for health information on the internet and the virtual patient-physician relationship in Germany: exploratory results on how men and women differ and why. J Med Internet Res. 2015;17(6):e4127.CrossRef
37.
go back to reference Link E, Baumann E, Linn A, Fahr A, Schulz PJ, Abuzahra ME. Influencing factors of online health information seeking in selected European countries: analysis of country specifics. Eur J Health Commun. 2021;2(1):29–55.CrossRef Link E, Baumann E, Linn A, Fahr A, Schulz PJ, Abuzahra ME. Influencing factors of online health information seeking in selected European countries: analysis of country specifics. Eur J Health Commun. 2021;2(1):29–55.CrossRef
38.
go back to reference Berner J, Comijs H, Elmståhl S, Welmer AK, Berglund JS, Anderberg P, et al. Maintaining cognitive function with internet use: a two-country, six-year longitudinal study. Int Psychogeriatr. 2019;31(7):929–36.CrossRef Berner J, Comijs H, Elmståhl S, Welmer AK, Berglund JS, Anderberg P, et al. Maintaining cognitive function with internet use: a two-country, six-year longitudinal study. Int Psychogeriatr. 2019;31(7):929–36.CrossRef
39.
go back to reference Choi EY, Kim Y, Chipalo E, Lee HY. Does perceived ageism widen the digital divide? And does it vary by gender? Gerontologist. 2020;60(7):1213–23.CrossRef Choi EY, Kim Y, Chipalo E, Lee HY. Does perceived ageism widen the digital divide? And does it vary by gender? Gerontologist. 2020;60(7):1213–23.CrossRef
40.
go back to reference Berkowsky RW. Exploring Predictors of eHealth Literacy Among Older Adults: Findings From the 2020 CALSPEAKS Survey. Gerontol Geriatr Med. 2021;7:23337214211064228.CrossRef Berkowsky RW. Exploring Predictors of eHealth Literacy Among Older Adults: Findings From the 2020 CALSPEAKS Survey. Gerontol Geriatr Med. 2021;7:23337214211064228.CrossRef
41.
go back to reference Hung LY, Lyons JG, Wu CH. Health information technology use among older adults in the United States, 2009–2018. Curr Med Res Opin. 2020;36(5):789–97.CrossRef Hung LY, Lyons JG, Wu CH. Health information technology use among older adults in the United States, 2009–2018. Curr Med Res Opin. 2020;36(5):789–97.CrossRef
42.
go back to reference Van der Vaart R, Van Deursen AJ, Drossaert CH, Taal E, van Dijk JA, van de Laar MA, et al. Does the eHealth Literacy Scale (eHEALS) measure what it intends to measure? Validation of a Dutch version of the eHEALS in two adult populations. J Med Internet Res. 2011;13(4):e1840. Van der Vaart R, Van Deursen AJ, Drossaert CH, Taal E, van Dijk JA, van de Laar MA, et al. Does the eHealth Literacy Scale (eHEALS) measure what it intends to measure? Validation of a Dutch version of the eHEALS in two adult populations. J Med Internet Res. 2011;13(4):e1840.
43.
go back to reference Toscos T, Drouin M, Pater J, Flanagan M, Pfafman R, Mirro MJ. Selection biases in technology-based intervention research: patients’ technology use relates to both demographic and health-related inequities. J Am Med Inform Assoc. 2019;26(8–9):835–9.CrossRef Toscos T, Drouin M, Pater J, Flanagan M, Pfafman R, Mirro MJ. Selection biases in technology-based intervention research: patients’ technology use relates to both demographic and health-related inequities. J Am Med Inform Assoc. 2019;26(8–9):835–9.CrossRef
44.
go back to reference Mitsutake S, Shibata A, Ishii K, Oka K, et al. Associations of eHealth literacy with health behavior among adult internet users. J Med Internet Res. 2016;18(7):e5413.CrossRef Mitsutake S, Shibata A, Ishii K, Oka K, et al. Associations of eHealth literacy with health behavior among adult internet users. J Med Internet Res. 2016;18(7):e5413.CrossRef
45.
go back to reference Guo SHM, Hsing HC, Lin JL, Lee CC. Relationships between mobile ehealth literacy, diabetes self-care, and glycemic outcomes in Taiwanese patients with type 2 diabetes: Cross-sectional study. JMIR mHealth uHealth. 2021;9(2):e18404.CrossRef Guo SHM, Hsing HC, Lin JL, Lee CC. Relationships between mobile ehealth literacy, diabetes self-care, and glycemic outcomes in Taiwanese patients with type 2 diabetes: Cross-sectional study. JMIR mHealth uHealth. 2021;9(2):e18404.CrossRef
46.
go back to reference Robertson DA, Savva GM, Kenny RA. Frailty and cognitive impairment-a review of the evidence and causal mechanisms. Ageing Res Rev. 2013;12(4):840–51.CrossRef Robertson DA, Savva GM, Kenny RA. Frailty and cognitive impairment-a review of the evidence and causal mechanisms. Ageing Res Rev. 2013;12(4):840–51.CrossRef
47.
go back to reference Jing Z, Li J, Wang Y, Ding L, Tang X, Feng Y, et al. The mediating effect of psychological distress on cognitive function and physical frailty among the elderly: evidence from rural Shandong. China J Affect Disord. 2020;268:88–94.CrossRef Jing Z, Li J, Wang Y, Ding L, Tang X, Feng Y, et al. The mediating effect of psychological distress on cognitive function and physical frailty among the elderly: evidence from rural Shandong. China J Affect Disord. 2020;268:88–94.CrossRef
48.
go back to reference Lin CY, Ganji M, Griffiths MD, Bravell ME, Broström A, Pakpour AH. Mediated effects of insomnia, psychological distress and medication adherence in the association of eHealth literacy and cardiac events among Iranian older patients with heart failure: a longitudinal study. Eur J Cardiovasc Nurs. 2020;19(2):155–64.CrossRef Lin CY, Ganji M, Griffiths MD, Bravell ME, Broström A, Pakpour AH. Mediated effects of insomnia, psychological distress and medication adherence in the association of eHealth literacy and cardiac events among Iranian older patients with heart failure: a longitudinal study. Eur J Cardiovasc Nurs. 2020;19(2):155–64.CrossRef
49.
go back to reference Cano A, Scaturo DJ, Sprafkin RP, Lantinga LJ, Brand F. Family support, self-rated health, and psychological distress. Prim Care Companion CNS Disord. 2003;5(3):24958. Cano A, Scaturo DJ, Sprafkin RP, Lantinga LJ, Brand F. Family support, self-rated health, and psychological distress. Prim Care Companion CNS Disord. 2003;5(3):24958.
50.
go back to reference Tessler R, Mechanic D. Psychological distress and perceived health status. J Health Soc Behav. 1978;19:254–62. Tessler R, Mechanic D. Psychological distress and perceived health status. J Health Soc Behav. 1978;19:254–62.
Metadata
Title
The prevalence of eHealth literacy and its relationship with perceived health status and psychological distress during Covid-19: a cross-sectional study of older adults in Blekinge, Sweden
Authors
Sarah Nauman Ghazi
Jessica Berner
Peter Anderberg
Johan Sanmartin Berglund
Publication date
01-12-2023
Publisher
BioMed Central
Keywords
Care
COVID-19
Published in
BMC Geriatrics / Issue 1/2023
Electronic ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-022-03723-y

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