A study on perception and behavior among chinese urban and rural older adults in the early stage of COVID-19

(1) Lei Yu Mail (Nanjing Normal University, China)
(2) * Xi Zhuang Mail (Nanjing Normal University, China)
*corresponding author


Based on the comparison of information behavior characteristics and differences of the urban and rural elderly group in the early stage of the COVID-19 pandemic, this study aims to analyzed the questionnaires collected from 980 elderly people. It was found that there were different mechanisms by which media use influenced the protective behaviors of the elderly. Authoritative media is able to directly influence the behavior of the elderly, the information function of social media influences their precautionary measures by affecting their perception, and their social function directly promotes the adoption of protective behaviors by the elderly. There are still significant differences in media use between urban and rural elderly groups. Rural elderly groups rely more on interpersonal networks to seek information and their social circles of WeChat acquaintance are closer. Therefore, health communication research among the elderly needs to further focus on the urban-rural differences in their digital inclusion process.


Communication and Aging; Media Use; Cognitive Behavior; Urban and Rural Differences




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[1] J.M. Li, “‘Breaking and mainstreaming: A new trend in geriatric transmission,’” News Writ., vol. 2, p. 4, 2021.

[2] Y. Song, C. Qian, and S. Pickard, “Age-related digital divide during the covid-19 pandemic in China,” Int. J. Environ. Res. Public Health, vol. 18, no. 21, 2021, doi: 10.3390/ijerph182111285.

[3] W. Lowrey, “Media Dependency During a Large-Scale Social Disruption: The Case of September 11,” Mass Commun. Soc., vol. 7, no. 3, 2004, doi: 10.1207/s15327825mcs0703_5.

[4] G. Schwitzer, “Ten troublesome trends in TV health news,” BMJ, vol. 329, no. 7478, 2004, doi: 10.1136/bmj.329.7478.1352.

[5] S. Hilton and K. Hunt, “UK newspapers’ representations of the 2009-10 outbreak of swine flu: One health scare not over-hyped by the media?,” J. Epidemiol. Community Health, vol. 65, no. 10, 2011, doi: 10.1136/jech.2010.119875.

[6] C. L. Christensen, “Healthy ageing and mediated health expertise,” Nord. Rev., vol. 38, no. Special Issue 1, 2017, doi: 10.1515/nor-2017-0403.

[7] Y. D. M.Z. Liu, “‘The research on the relationship between media use and subjective well-being of the elderly is based on the empirical analysis of CGSS2015,’” Dong Yue Trib., vol. 40, no. 7, pp. 40–47, 2019.

[8] S. S. Ho, “The knowledge gap hypothesis in Singapore: The roles of socioeconomic status, mass media, and interpersonal discussion on public knowledge of the H1N1 flu pandemic,” Mass Commun. Soc., vol. 15, no. 5, 2012, doi: 10.1080/15205436.2011.616275.

[9] L. Habibi, H. R. Farpour, A. R. Simab, M. A. Bejeshk, M. A. Rajizadeh, and S. Farpour, “The Relationship between Social Media Usage and General Health in the Older People of Shiraz City in Iran,” Ageing Int., vol. 46, no. 4, 2021, doi: 10.1007/s12126-020-09402-w.

[10] Y. Fang, A. K. C. Chau, A. Wong, H. H. Fung, and J. Woo, “Information and communicative technology use enhances psychological well-being of older adults: the roles of age, social connectedness, and frailty status,” Aging Ment. Heal., vol. 22, no. 11, 2018, doi: 10.1080/13607863.2017.1358354.

[11] M. Negarestani, V. Rashedi, M. Mohamadzadeh, and V. Borhaninejad, “Psychological Effect of Media Use on Mental Health of Older Adults during the COVID-19 Pandemic,” Iran. J. Ageing, vol. 16, no. 1, 2021, doi: 10.32598/SIJA.16.1.1116.6.

[12] L. Lu, J. Liu, and Y. C. Yuan, “Health Information Seeking Behaviors and Source Preferences between Chinese and U.S. Populations,” J. Health Commun., vol. 25, no. 6, 2020, doi: 10.1080/10810730.2020.1806414.

[13] K. Kaniasty, “Social support, interpersonal, and community dynamics following disasters caused by natural hazards,” Current Opinion in Psychology, vol. 32. 2020, doi: 10.1016/j.copsyc.2019.07.026.

[14] and C. C. L. S.Y. Wang, “‘Endogenous logic and practical path of health community communication for the elderly,’” RADIO&TV J., vol. 32, no. pp, pp. 155–157, 2018.

[15] S. Shimokihara et al., “Relationship of decrease in frequency of socialization to daily life, social life and physical function in community-dwelling adults aged 60 and over after the covid-19 pandemic,” Int. J. Environ. Res. Public Health, vol. 18, no. 5, 2021, doi: 10.3390/ijerph18052573.

[16] S. Harlow and D. K. Kilgo, “Protest News and Facebook Engagement: How the Hierarchy of Social Struggle Is Rebuilt on Social Media,” Journal. Mass Commun. Q., vol. 98, no. 3, 2021, doi: 10.1177/10776990211017243.

[17] G. Eysenbach, “Medicine 2.0: Social networking, collaboration, participation, apomediation, and openness,” Journal of Medical Internet Research, vol. 10, no. 3. 2008, doi: 10.2196/jmir.1030.

[18] X.L. Wu, “Bridging the digital divide: Promoting media literacy among the elderly in the age of social media,” Youth Journal., vol. 25, no. pp, pp. 16–17, 2020.

[19] M. J. Stern, A. E. Adams, and S. Elsasser, “Digital inequality and place: The effects of technological diffusion on internet proficiency and usage across rural, Suburban, and Urban Counties,” Sociol. Inq., vol. 79, no. 4, 2009, doi: 10.1111/j.1475-682X.2009.00302.x.

[20] M. Jehn, Y. Kim, B. Bradley, and T. Lant, “Community knowledge, risk perception, and preparedness for the 2009 influenza A/H1N1 pandemic,” J. Public Heal. Manag. Pract., vol. 17, no. 5, 2011, doi: 10.1097/PHH.0b013e3182113921.

[21] J. Ellis, J. Mullan, A. Worsley, and N. Pai, “The Role of Health Literacy and Social Networks in Arthritis Patients’ Health Information-Seeking Behavior: A Qualitative Study,” Int. J. Family Med., vol. 2012, 2012, doi: 10.1155/2012/397039.

[22] L. Williams, A. Regagliolo, and S. Rasmussen, “Predicting psychological responses to Influenza A, H1N1 (Swine flu): The role of illness perceptions,” Psychol. Heal. Med., vol. 17, no. 4, 2012, doi: 10.1080/13548506.2011.626564.

[23] G. Signorino, “Proximity and risk perception. Comparing risk perception profiles in two petrochemical areas of Sicily (Augusta and Milazzo),” J. Risk Res., vol. 15, no. 10, 2012, doi: 10.1080/13669877.2012.670129.

[24] Y. Ju and M. You, “It’s Politics, Isn’t It? Investigating Direct and Indirect Influences of Political Orientation on Risk Perception of COVID-19,” Risk Anal., 2021, doi: 10.1111/risa.13801.

[25] M. A. Ramsey and C. A. Marczinski, “College students’ perceptions of H1N1 flu risk and attitudes toward vaccination,” Vaccine, vol. 29, no. 44, 2011, doi: 10.1016/j.vaccine.2011.07.130.


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International Journal of Communication and Society  
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