Acessibilidade / Reportar erro

Agreement with COVID-19 disinformation among Portuguese-speaking older adults: an international study

Concordancia con contenido de desinformación relacionado con COVID-19 en personas mayores de habla portuguesa: estudio internacional

ABSTRACT

Objectives:

to assess agreement with COVID-19 disinformation among Portuguese-speaking individuals aged 50 years or older.

Methods:

a descriptive and analytical study involving 1,214 older adults born in Portuguese-speaking countries. Data collection occurred through online information mining to recognize COVID-19 and disinformation content, and the application of a structured questionnaire.

Results:

agreement with disinformation content was 65.2%. Residing outside Brazil is a protective factor for agreement with disinformation content, and those who believe in the truthfulness of the information sources they receive were 31% more likely to agree with disinformation content.

Conclusions:

there is a high prevalence of disinformation among the older population in two Portuguese-speaking countries, which should raise the attention of healthcare professionals and guide coping strategies.

Descriptors:
Health Behavior; COVID-19; Disinformation; Aged; Global Health.

RESUMEN

Objetivos:

evaluar la concordancia con contenido de desinformación relacionado con COVID-19 entre personas de 50 años o más de edad, hablantes de portugués.

Métodos:

estudio descriptivo y analítico con 1.214 personas mayores nacidas en países de habla portuguesa. La recolección de datos se realizó mediante la minería de información en línea para el reconocimiento de contenido de desinformación y COVID-19, y la aplicación de un cuestionario estructurado.

Resultados:

la concordancia con contenido de desinformación fue del 65,2%. Residir fuera de Brasil es un factor de protección para la concordancia con contenido de desinformación, y aquellos que creen en la veracidad de las fuentes de información que reciben tuvieron un 31% más de probabilidades de estar de acuerdo con contenido de desinformación.

Conclusiones:

hay una alta prevalencia de desinformación entre la población mayor en dos países de habla portuguesa, lo que debe llamar la atención de los profesionales de la salud y la enfermería y orientar estrategias de enfrentamiento.

Descriptores:
Conductas Relacionadas con la Salud; COVID-19; Desinformación; Anciano; Salud Global

RESUMO

Objetivos:

avaliar a concordância com conteúdos de desinformação relacionados à COVID-19 entre pessoas com 50 anos ou mais de idade, falantes do português.

Métodos:

estudo descritivo e analítico com 1.214 idosos nascidos em países de língua portuguesa. A coleta de dados ocorreu por meio da mineração de informações online para reconhecimento de conteúdos de desinformação e COVID-19, e aplicação de questionário estruturado.

Resultados:

a concordância com conteúdos de desinformação foi de 65,2%. Residir fora do Brasil é um fator de proteção para a concordância com conteúdos de desinformação, e aqueles que acreditam na veracidade das fontes de informação que recebem tiveram 31% mais probabilidade de concordar com conteúdos de desinformação.

Conclusões:

há alta prevalência de desinformação entre a população idosa em dois países de língua portuguesa, o que deve despertar a atenção dos profissionais da saúde e enfermagem, e orientar estratégias de enfrentamento.

Descritores:
Comportamentos Relacionados com a Saúde; COVID-19; Desinformação; Idoso; Saúde Global.

INTRODUCTION

Autonomy for the performance of basic activities of daily living and self-care is of great value to human beings, but it is a condition that is generally affected in the elderly(11 Ilgaz A, Gözüm S. Advancing well-being and health of elderly with integrative nursing principles. Florence Nightingale Hemsire Derg. 2019;27(2):201-10. https://doi.org/10.26650/FNJN437700
https://doi.org/10.26650/FNJN437700...
). Circumstantial factors that involve the life of the elderly person encompass bio-psychosocial, mental, functional, and safety domains, and affect well-being, dignity, and autonomy(22 Kushkestani M, Parvani M, Nosrani SE, Rezaei S. The physical activity and fall risk among Iranian older male adults. Open Nurs J. 2020;14:159-67. https://doi.org/10.2174/1874434602014010159
https://doi.org/10.2174/1874434602014010...
-33 Scherrer Júnior G, Passos KG, Oliveira LM, Okuno MFP, Alonso AC, Belasco AGS. Elderly’s activities of daily living, depressive symptoms and quality of life. Acta Paul Enferm. 2022;35:eAPE0237345. https://doi.org/10.37689/acta-ape/2022ao02373459
https://doi.org/10.37689/acta-ape/2022ao...
).

Active aging depends on the environment in which one lives, but, in principle, it depends on the individual when seeking functional and financial independence, social integration, and family support(44 Katana B, Kaljić E, Hadžiomerović AM, Jaganjac A, Bojičić S, Trtak N. Assessment of functional mobility of persons in the 3rd age of life after programmed therapeutic exercises. J Health Sci. 2021;11(2):117-21. https://doi.org/10.17532/jhsci.2021.1151
https://doi.org/10.17532/jhsci.2021.1151...
). It is certain that the absence or fragility in one of these domains will entail vulnerabilities that need to be dimensioned, cared for, and supported. Sanitary emergencies add a series of consequences to the vulnerability of this population group, among which disinformation and susceptibility to inadvertent belief in narratives of close individuals or news dissemination vehicles stand out(55 Babić D, Železnik D, Milosević M. Relationship between functional capacity and the occurrence of adverse events during healthcare utilization. J Health Sci. 2021.11(2):102-9. https://doi.org/10.17532/jhsci.2021.1174
https://doi.org/10.17532/jhsci.2021.1174...
-66 Silva SS, Silva NK, Lucena CCC, Borburema MM, Silva LGS, Santos MCS, et al. Idoso e Envelhecimento Ativo. Health Soc. 2022;2(1):73-9. https://doi.org/10.51249/hs.v2i01.883
https://doi.org/10.51249/hs.v2i01.883...
).

In the COVID-19 pandemic, in addition to managing health services, countries and the entities that comprise them had to combat the spread of questionable information(77 Lunn PD, Belton CA, Lavin C, McGowan FP, Timmons S, Robertson D. Using Behavioral Science to help fight the Coronavirus. J Behav Pub Adm. 2020;3(1):1-15. https://doi.org/10.30636/jbpa.31.147
https://doi.org/10.30636/jbpa.31.147...
). Therefore, the “infodemic” became a recurring term in discussions within the scope of global health(88 Soares SSS, Souza NVDO, Carvalho EC, Queiroz ABA, Costa CCP, Souto JSS. COVID-19 pandemic and nursing week: analysis from software Iramuteq. Rev Bras Enferm. 2022;75(1):e20200690. https://doi.org/10.1590/0034-7167-2020-0690
https://doi.org/10.1590/0034-7167-2020-0...
-99 Neto M, Lachtim SAF. COVID-19 Vaccination Campaign: Fake News Infodemic. Rev Bras Enferm. 2022;75(4):e750401. https://doi.org/10.1590/0034-7167.2022750401
https://doi.org/10.1590/0034-7167.202275...
).

According to the World Health Organization (WHO), an infodemic is defined as the excess of false or misleading information available during a disease outbreak(1010 World Health Organization (WHO). Infodemic [Internet]. Geneva: WHO; 2023 [cited 2023 Feb 13]. Available from: https://www.who.int/health-topics/infodemic#tab=tab_1
https://www.who.int/health-topics/infode...
). This phenomenon is detrimental to society, as it hinders the interpretation of information about a particular topic, especially in its judgment as true or false, which can lead to the adoption of health-risk behaviors. This context is further aggravated when considering the use of social media, as they amplify questionable content(1010 World Health Organization (WHO). Infodemic [Internet]. Geneva: WHO; 2023 [cited 2023 Feb 13]. Available from: https://www.who.int/health-topics/infodemic#tab=tab_1
https://www.who.int/health-topics/infode...
-1111 Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
https://doi.org/10.3390/su14010235...
).

In fact, disinformation crosses territorial borders, and it can be exacerbated when considering countries that share the same language(1111 Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
https://doi.org/10.3390/su14010235...
). Geographically, culturally, and religiously close countries that have the same or similar language share content that reinforces false news about the COVID-19 pandemic in their territories. A study conducted in countries where Portuguese is the main language revealed that, even with different populations, the content of disinformation about COVID-19 consumed in these regions was similar and accepted by a large part of the population(1111 Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
https://doi.org/10.3390/su14010235...
).

This statement is justified by considering the constant use of the internet, a resource often used to investigate one’s own health condition. As a result, personal access to information undermines trust in health services and promotes the adoption of behaviors that can cause individual or collective risks(1212 Diniz JL, Moreira ACA, Teixeira IX, Azevedo SGV, Freitas CASL, Maranguape IC. Digital inclusion and Internet use among older adults in Brazil: a cross-sectional study. Rev Bras Enferm. 2020;73(3):e20200241. https://doi.org/10.1590/0034-7167-2020-0241
https://doi.org/10.1590/0034-7167-2020-0...
-1313 Swire-Thompson B, Lazer D. Public health and online misinformation: challenges and recommendations. Annu Rev Public Health. 2020;41:433-51. https://doi.org/10.1146/annurev-publhealth-040119-094127
https://doi.org/10.1146/annurev-publheal...
). The new information technologies and the scope of social networks have not excluded older people from the digital world. However, older people are considered “digital immigrants” because they come from a generation that preceded the creation and availability of social media(1414 Santos RFD, Almêda KA. O Envelhecimento Humano e a Inclusão Digital: análise do uso das ferramentas tecnológicas pelos idosos. Ciên Inform Rev. 2018;4(2):59-68. https://doi.org/10.28998/cirev.2017v4n2e
https://doi.org/10.28998/cirev.2017v4n2e...
), which can represent a barrier to understanding and handling technological tools. As a result of this context, this group has been identified as the most vulnerable in the adoption and dissemination of fake news, as they are not digital natives and have not been prepared for this new environment(1515 Chiu Ching-Ju, Liu Chia-Wen. Understanding older adult’s technology adoption and withdrawal for elderly care and education: mixed method analysis from national survey. J Med Internet Res. 2017;19(11):e374. https://doi.org/10.2196/jmir.7401
https://doi.org/10.2196/jmir.7401...
).

With the facilities offered in the digital era, as well as the valorization of social networks, it is possible for any individual to be a creator and disseminator of content, in a rapid circulation of information, without any form of inspection or prior filtering(1616 Teixeira A. Fake news contra a vida: desinformação ameaça a vacinação de combate à febre amarela[Dissertação]. São Paulo: Pontifícia Universidade Católica de São Paulo; 2019.). Older people find information about their illnesses through various sources, mostly via the internet. For this generation, internet access was triggered in the workplace, via computer, and became available through mobile devices, as technology advanced in form, speed, and access to information(1717 Medlock S, Eslami S, Askari M, Arts DL, Sent D, Rooij SE, et al. Health information-seeking behavior of seniors who use the internet: a survey. J Med Internet Res. 2015;17(1):e10. https://doi.org/10.2196/jmir.3749
https://doi.org/10.2196/jmir.3749...
-1818 Gong Y, Zhou J, Ding F. Investigating the demands for mobile internet-based home nursing services for the elderly. J Investig Med. 2022;70(3):844-52. https://doi.org/10.1136/jim-2021-002118
https://doi.org/10.1136/jim-2021-002118...
). When the interest and reason for the search are related to their illnesses, with the aim of better managing their treatment and gaining independence from information provided by doctors and other healthcare professionals, this population does not always feel secure with the information(1717 Medlock S, Eslami S, Askari M, Arts DL, Sent D, Rooij SE, et al. Health information-seeking behavior of seniors who use the internet: a survey. J Med Internet Res. 2015;17(1):e10. https://doi.org/10.2196/jmir.3749
https://doi.org/10.2196/jmir.3749...
,1919 He W, Cao L, Liu R, Wu Y, Zhang W. Factors associated with internet use and health information technology use among older people with multi-morbidity in the United States: findings from the National Health Interview Survey 2018. BMC Geriatr. 2022;22(1):733. https://doi.org/10.1186/s12877-022-03410-y
https://doi.org/10.1186/s12877-022-03410...
).

There is literature pointing to the effect of disinformation on older people, suggesting that they are more vulnerable to disinformation compared to other younger age groups, and that older people not only have a decreased ability to correctly remember the source of the original information, but also demonstrate greater confidence in false memories, making them more vulnerable to disinformation(2020 Fhon JRS, Silva LM, Leitón-Espinoza ZE, Matiello FB, Araujo JS, Rodrigues RAP. Hospital care for elderly COVID-19 patients. Rev Latino-Am Enfermagem. 2020;28:e3396. https://doi.org/10.1590/1518-8345.4649.3396
https://doi.org/10.1590/1518-8345.4649.3...
-2121 Brashier NM, Schacter DL. Aging in an Era of Fake News. Curr Dir Psychol Sci. 2020;29(3):316-23. https://doi.org/10.1177/0963721420915872
https://doi.org/10.1177/0963721420915872...
) and responsible for up to 80% of false news shared on social networks. However, there is a lack of studies that seek to deepen this consumption of disinformation and identify which factors are determining its occurrence in older people.

OBJECTIVES

To evaluate agreement with COVID-19 disinformation content among Portuguese-speaking individuals aged 50 years or older.

METHODS

Ethical aspects

The study was conducted in accordance with the ethical research rules of the two participating countries, and was approved by the Brazilian Research Ethics Committee (CONEP) following the Declaration of Helsinki and relevant legislation in each country, including Resolution 466/12. Informed consent was obtained from all participants digitally.

Study design

This is a cross-sectional, descriptive, and analytical study structured according to the STROBE guidelines.

Study period

The research was conducted between June and August 2020, during the COVID-19 pandemic and the implementation of isolation and social distancing measures.

Study location

The study included elderly individuals born in one of the seven Portuguese-speaking countries: Brazil, Portugal, Angola, Cape Verde, Guinea-Bissau, Mozambique, and São Tomé and Príncipe, but who were living in Portugal or Brazil for at least 3 months at the time of the survey.

Population, sample, inclusion and exclusion criteria

To construct the sampling frame, participants were recruited using the snowball method adapted to the virtual environment. In the online adaptation of this method, the participant is responsible for recruiting other individuals from their own social network (minimum of 3 people). To ensure sample variability, we randomly selected 30 individuals in each of the two countries from a database of previous studies and called them “seeds.” These were purposely diversified with respect to the main confounding factors and biases in epidemiological studies: location in the country (divided according to the regions of each country); race/color (white and non-white); age group (50-60 years; 61 or older), educational level (primary/secondary education, higher education, and postgraduate education). Upon agreeing to participate, the first participants received the survey link and were instructed to invite/promote other similar individuals from their social network/community through the official invitation text and hyperlink sharing.

The total population of the study was 6843 individuals, of whom 1214 were 50 years of age or older and correctly completed all study questions, thus being eligible to participate in this study. To analyze the adequacy of the sample size, a power analysis was performed using G*Power 3.1 software, with post-hoc verification of the sample size required for contingency table statistics, considering a 95% confidence interval, alpha of 0.05, and an effect size of 0.15. The sample achieved a power of 99.8%, exceeding the minimum requirements for the sample. We chose to include individuals aged 50 or older, following recommendations from previous studies(2121 Brashier NM, Schacter DL. Aging in an Era of Fake News. Curr Dir Psychol Sci. 2020;29(3):316-23. https://doi.org/10.1177/0963721420915872
https://doi.org/10.1177/0963721420915872...
-2222 Queiroz AAFLN, Sousa AFL, Brignol S, Araújo TME, Reis RK. Vulnerability to HIV among older men who have sex with men users of dating apps in Brazil. Braz J Infect Dis. 2019;23(5):298-306. https://doi.org/10.1016/j.bjid.2019.07.005
https://doi.org/10.1016/j.bjid.2019.07.0...
) and considering them as a more or less uniform group that tends to exhibit a decline in cognitive function with age, which overloads their abilities related to cognitive functioning and abstract reasoning, as well as difficulties with digital technologies, limiting their abilities to differentiate between accurate and disinformation content(2121 Brashier NM, Schacter DL. Aging in an Era of Fake News. Curr Dir Psychol Sci. 2020;29(3):316-23. https://doi.org/10.1177/0963721420915872
https://doi.org/10.1177/0963721420915872...
).

Study Protocol

The main outcome of this study was agreement with at least one piece of disinformation content. To achieve this, responses of “agree” and “strongly agree” were grouped as “agreement.” As secondary variables, the social and demographic characteristics of the participants, their familiarity with COVID-19 (result of tests and knowing people who died due to the virus), consumption of content about the disease (sources of information), decision-making based on content, and willingness to vaccinate were evaluated(1111 Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
https://doi.org/10.3390/su14010235...
,2323 Sousa AFL, Teixeira JRB, Lua I, Souza FO, Ferreira AJF, Schneider G, et al. Determinants of COVID-19 Vaccine Hesitancy in Portuguese-Speaking Countries: a Structural Equations Modeling Approach. Vaccines (Basel). 2021;9(10):1167. https://doi.org/10.3390/vaccines9101167
https://doi.org/10.3390/vaccines9101167...
). Thus, the research was conducted in two phases:

1. Online data mining to identify the main subjects related to COVID-19 disinformation content discussed in Portuguese, as described in previous studies(1111 Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
https://doi.org/10.3390/su14010235...
,2323 Sousa AFL, Teixeira JRB, Lua I, Souza FO, Ferreira AJF, Schneider G, et al. Determinants of COVID-19 Vaccine Hesitancy in Portuguese-Speaking Countries: a Structural Equations Modeling Approach. Vaccines (Basel). 2021;9(10):1167. https://doi.org/10.3390/vaccines9101167
https://doi.org/10.3390/vaccines9101167...
).

For conceptual purposes and in accordance with relevant literature, the news was grouped into two categories: Category 1 - Conspiracy theories about the origin, prevention, treatment, and cure of COVID-19/SARS-CoV-2, and Category 2 - Home remedies and non-pharmacological methods for preventing contagion and treating SARS-CoV-2.

2. Online population survey with individuals from seven Portuguese-speaking countries (Brazil, Portugal, Angola, Cape Verde, Guinea-Bissau, Mozambique, São Tomé and Príncipe), but residents in Brazil or Portugal for more than 3 months.

The objective of this stage was to evaluate agreement with the content published on social networks studied and selected in phase 1(1111 Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
https://doi.org/10.3390/su14010235...
,2323 Sousa AFL, Teixeira JRB, Lua I, Souza FO, Ferreira AJF, Schneider G, et al. Determinants of COVID-19 Vaccine Hesitancy in Portuguese-Speaking Countries: a Structural Equations Modeling Approach. Vaccines (Basel). 2021;9(10):1167. https://doi.org/10.3390/vaccines9101167
https://doi.org/10.3390/vaccines9101167...
). A structured questionnaire was developed by the authors based on the literature(2424 Bastani P, Hakimzadeh SM, Bahrami MA. Designing a conceptual framework for misinformation on social media: a qualitative study on COVID-19. BMC Res Notes. 2021;14(1):408. https://doi.org/10.1186/s13104-021-05822-2
https://doi.org/10.1186/s13104-021-05822...

25 Apuke OD, Omar B. Fake news and COVID-19: modelling the predictors of fake news sharing among social media users. Telemat Inform. 2021;56:101475. https://doi.org/10.1016/j.tele.2020.101475
https://doi.org/10.1016/j.tele.2020.1014...
-2626 Roozenbeek J, Schneider CR, Dryhurst S, Kerr J, Freeman ALJ, Recchia G, et al. Susceptibility to misinformation about COVID-19 around the world. Rev Soc Open Sci. 2020;7:201199. https://doi.org/10.1098/rsos.201199
https://doi.org/10.1098/rsos.201199...
) and in two versions: Brazilian Portuguese and European Portuguese. This questionnaire contained 34 mostly multiple-choice questions and addressed social and demographic information (age, country of origin, nationality, religion, education, housing conditions), behaviors adopted to cope with the COVID-19 pandemic (social distancing, protective measures for COVID-19, and adherence to them), searching and consuming information and news about COVID-19, and 21 specific questions about agreement with the origin of SARS-CoV-2, prevention, treatment, and cure of COVID-19.

In this case, for every seven incorrect questions, one correct one was added as validation to avoid information biases. The questionnaire was evaluated by a group of 10 expert judges in the subject, five from each country, through two Delphi rounds to achieve consensus. The expert analysis covered the questionnaire’s construct validity and its cultural and linguistic properties.

The online questionnaire was hosted on a specific website that allowed for rapid data collection in both Brazilian and European Portuguese and allowed only one response per Internet Protocol (IP), i.e., one response per electronic device, thus avoiding multiple entries by the same user and, consequently, selection biases(1111 Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
https://doi.org/10.3390/su14010235...
).

Analysis of Results and Statistics

The data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 24.0 (SPSS Inc., Chicago, IL, USA). Descriptive analysis included absolute and relative frequencies. Prevalence ratios were used to evaluate crude associations (bivariate analysis), and their statistical significance was tested using Pearson’s chi-square test and the Monte Carlo method, considering a minimum significance level of p ≤ 0.05.

Ninety-five percent confidence intervals (CI 95%) were also established. Monte Carlo permutations were used to calculate p-values for independent variables with more than two categories of analysis, in order to obtain a better statistical fit of the data. All variables were previously analyzed to evaluate whether multicollinearity existed, based on tolerance coefficients and variance inflation factor (VIF) parameters.

Considering the high frequency of the reference outcome (agreement with COVID-19 disinformation greater than 10%), the association measure of traditional logistic regression analysis (odds ratio, OR) overestimates associations. Therefore, we opted for the Poisson regression model with robust variance estimation using a covariance matrix (generalized linear model) to estimate the prevalence ratio (PR), which is the most appropriate measure for cross-sectional studies. A logarithmic link function and 95% CI were used. The selection of variables for the multivariate model was based on the results of bivariate analyses, considering statistical significance (p-value ≤ 0.05), theoretical relevance, or better fit conditions. The observed parameters for the best performance adopted Akaike’s information criterion (AIC), log-likelihood, omnibus test, and effect tests (type III) as reference criteria.

RESULTS

Of the 1214 study participants, 767 (63.2%) lived in Brazil, 123 (10.1%) were immigrants, and the age group of 50 to 59 years was the most prevalent (834; 68.7%), with 728 (60.0%) affirming a religious practice. In addition, 852 (70.2%) were in a relationship, with a higher prevalence of individuals with more than nine years of education (689; 56.8%). The agreement with disinformation content was 65.2% (792). The factors associated with this agreement are presented in Table 01.

Table 1
Association between agreement with disinformation content and social, demographic, and information source-related characteristics of study participants, 2022

According to Table 02, living in a country other than Brazil was identified as a protective factor for agreement with disinformation content among elderly immigrants. In addition, those who believe in the veracity of the information sources they receive, regardless of the source, had a 31% higher likelihood of agreeing with disinformation content.

Table 2
Multivariate analysis of factors associated with agreement with disinformation content in elderly immigrants

DISCUSSION

Our findings point to the high prevalence of disinformation among the elderly population in the context of the COVID-19 pandemic in two Portuguese-speaking countries. Although this finding is alarming, it has been repeated in other health crisis contexts(2727 Sommariva S, Vamos C, Mantzarlis A, Dào L Uyên-Lian, Tyson DM. Spreading the (fake) news: exploring health messages on social media and the implications for health professionals using a case study. Am J Health Educ. 2018;49(4):246-55. https://doi.org/10.1080/19325037.2018.1473178
https://doi.org/10.1080/19325037.2018.14...

28 Sacramento I, Paiva R. Fake news, WhatsApp and vaccination against yellow fever in Brazil. MATRIZes. 2020;14(1):79-106. https://doi.org/10.11606/issn.1982-8160.v14i1p79-106
https://doi.org/10.11606/issn.1982-8160....
-2929 Wang Y, McKee M, Torbica A, Stuckler D. Systematic literature review on the spread of health-related misinformation on social media. Soc Sci Med. 2019;240:112552. https://doi.org/10.1016/j.socscimed.2019.112552
https://doi.org/10.1016/j.socscimed.2019...
). For example, prior to the COVID-19 pandemic, the impact of disinformation among the elderly population was evidenced in different health and disease situations, such as sexual practices and sexually transmitted infections, as well as immunization, with indications for overcoming the deconstruction of prejudiced and inhibiting ideas regarding the broader understanding of the issue.

The findings among the elderly population are in line with studies focused on the general population conducted in other contexts, as there are studies indicating a high prevalence of agreement with disinformation about COVID-19 (63.9%) in different age groups, values close to those found in this study(1111 Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
https://doi.org/10.3390/su14010235...
,3030 Pickles K, Cvejic E, Nickel B, Copp T, Booner C, Leask J, et al. COVID-19 misinformation trends in Australia: prospective longitudinal national survey. J Med Internet Res. 2021;23(1):e23805. https://doi.org/10.2196/23805
https://doi.org/10.2196/23805...
). However, there are peculiarities in the case of the elderly that must be considered.

There are several factors that can influence the higher consumption of false information about COVID-19 in the elderly(3131 Vijaykumar S, Jin Y, Rogerson D, Lu X, Sharma S, Maughan A, et al. How shades of truth and age affect responses to COVID-19 (Mis) information: randomized survey experiment among WhatsApp users in UK and Brazil. Humanit Soc Sci Commun. 2021;8:88. https://doi.org/10.1057/s41599-021-00752-7
https://doi.org/10.1057/s41599-021-00752...
-3232 Delgado CE, Silva EA, Castro EAB, Carbogim FC, Püschel VAA, Cavalcante RB. COVID-19 infodemic and adult and elderly mental health: a scoping review. Rev Esc Enferm USP. 2021;55:e20210170. https://doi.org/10.1590/1980-220X-REEUSP-2021-0170
https://doi.org/10.1590/1980-220X-REEUSP...
). Lack of digital and health literacy are two important factors that must be considered. Elderly people who are not familiar with the internet or social media may have difficulty navigating online information sources and using fact-checking tools, making them more susceptible. In addition, older individuals with limited health literacy may have difficulty understanding medical information, even when it is transmitted through digital media, and may be more vulnerable to false claims about treatments or prevention strategies for emerging diseases such as COVID-19(3333 Moore RC, Hancock JT. A digital media literacy intervention for older adults improves resilience to fake news. Sci Rep. 2022;12:6008. https://doi.org/10.1038/s41598-022-08437-0
https://doi.org/10.1038/s41598-022-08437...
-3434 Mohamed-Amine C, Sanchez-Ramirez DC, Pol M, Uddin M, Monnin C, Syed-Abdul S. COVID-19 infodemic and digital health literacy in vulnerable populations: a scoping review. Digit Health. 2022;8:20552076221076927. https://doi.org/10.1177/20552076221076927
https://doi.org/10.1177/2055207622107692...
).

Older people become easier targets for disinformation because they are from a time when access to information was provided through newspapers and magazines, books, and encyclopedias that generally went through treatment and verification, which brought the feeling of correct and reliable information. In contrast, the COVID-19 infodemic hit people abruptly who are unfamiliar with or do not have the skills to use technology and the internet and critically assess information and its sources(3434 Mohamed-Amine C, Sanchez-Ramirez DC, Pol M, Uddin M, Monnin C, Syed-Abdul S. COVID-19 infodemic and digital health literacy in vulnerable populations: a scoping review. Digit Health. 2022;8:20552076221076927. https://doi.org/10.1177/20552076221076927
https://doi.org/10.1177/2055207622107692...
). Traditionally, this issue tends to have a greater impact on those elderly people with lower levels of education and income, due to the sum of vulnerabilities(3535 Kitamura ES, Faria LR, Cavalcante RB, Leite ICG. Depression and generalized anxiety disorder in older adults by the COVID-19 infodemic. Acta Paul Enferm. 2022;35:eAPE03177. https://doi.org/10.37689/acta-ape/2022AO03177
https://doi.org/10.37689/acta-ape/2022AO...
-3636 Seo H, Blomberg M, Altshwager D, Vu HT. Vulnerable populations and misinformation: a mixed-methods approach to underserved older adults’ online information assessment. New Media Soc. 2021;23(7):2012-33. https://doi.org/10.1177/1461444820925041
https://doi.org/10.1177/1461444820925041...
). However, in our study, the participants mostly had high education and income levels, which differs from previous findings. This can be explained, in part, by the influence of salutogenic/healthism, a kind of belief system in which individuals see themselves as primarily or solely responsible for their health, in people with higher education, leading them to have greater distrust of medical authorities and conventional medicine, making them more prone to resort to “alternative truths” and explanations that lack theoretical or empirical support(1111 Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
https://doi.org/10.3390/su14010235...
,3737 Greenhalgh T, Wessely S. “Health for me”: a sociocultural analysis of healthism in the middle classes. Br Med Bull. 2004;69(1):197-213. https://doi.org/10.1093/bmb/ldh013
https://doi.org/10.1093/bmb/ldh013...
).

Confirmation bias, when individuals seek information that confirms their existing beliefs or biases, is also more present in older people, causing them to have certain beliefs or opinions that lead them to have a higher probability of consuming information that confirms these beliefs, even if they are not accurate(3232 Delgado CE, Silva EA, Castro EAB, Carbogim FC, Püschel VAA, Cavalcante RB. COVID-19 infodemic and adult and elderly mental health: a scoping review. Rev Esc Enferm USP. 2021;55:e20210170. https://doi.org/10.1590/1980-220X-REEUSP-2021-0170
https://doi.org/10.1590/1980-220X-REEUSP...
,3838 Aizpurua A, Migueles M, Aranberri A. Prospective memory and positivity bias in the COVID-19 health crisis: the effects of aging. Front Psychol. 2021;12:666977. https://doi.org/10.3389/fpsyg.2021.666977
https://doi.org/10.3389/fpsyg.2021.66697...
). In addition, the elderly may be more likely to trust information from their close social networks, which may include friends and family, who are also susceptible to disinformation, further amplifying the dissemination of erroneous information within this age group.

In our study, it became evident that not only is the information itself decisive for disinformation, but also the source of the information and who propagates it. Traditionally, people rely on information sources from classic news agencies or credible websites to stay informed about the most current events. However, when these sources are perceived as biased, untrustworthy, or present content that is very different from what the subjects want to perceive as truth, individuals may be more likely to seek alternative sources of information, including those that promote conspiracy theories or false and biased narratives, as observed in our results(1111 Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
https://doi.org/10.3390/su14010235...
,3939 Tsao Shu-Feng, Chen H, Tisseverasinghe T, Yang Y, Li L, Butt ZA. What social media told us in the time of COVID-19: a scoping review. Lancet Digit Health. 2021;3(3):e175-94. https://doi.org/10.1016/S2589-7500(20)30315-0
https://doi.org/10.1016/S2589-7500(20)30...
).

There is a series of studies(1111 Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
https://doi.org/10.3390/su14010235...
,3939 Tsao Shu-Feng, Chen H, Tisseverasinghe T, Yang Y, Li L, Butt ZA. What social media told us in the time of COVID-19: a scoping review. Lancet Digit Health. 2021;3(3):e175-94. https://doi.org/10.1016/S2589-7500(20)30315-0
https://doi.org/10.1016/S2589-7500(20)30...

40 Yang J, Tian Y. “Others are more vulnerable to fake news than I Am”: Third-person effect of COVID-19 fake news on social media users. Comput Human Behav. 2021;125:106950. https://doi.org/10.1016/j.chb.2021.106950
https://doi.org/10.1016/j.chb.2021.10695...
-4141 Rocha YM, Moura GA, Desidério GA, Oliveira CH, Lourenço FD, Nicolete LDF. The impact of fake news on social media and its influence on health during the COVID-19 pandemic: a systematic review. Z Gesundh Wiss. 2021:1-10. https://doi.org/10.1007/s10389-021-01658-z
https://doi.org/10.1007/s10389-021-01658...
) showing that individuals who have social media as their main source of news are more likely to be exposed to false news, as these platforms generally amplify sensational or deceptive content. In addition, individuals who have a strong ideological or partisan identity may be more likely to consume false news that aligns with their existing beliefs, even if they are not accurate. For example, in our study, giving credibility to the truthfulness of the information they receive, regardless of the source, increased the likelihood of agreeing with disinformation content, reinforcing the impact of the source and the sender on the consumption of disinformation. It is extremely important that people critique the information sources they consume and seek reliable sources that prioritize accuracy and objectivity. Media literacy programs can help in this process, developing in people, especially older ones, the necessary skills to distinguish between real and deceptive news and use fact-checking mechanisms.

Governments and leaders play a crucial role in combating disinformation about COVID-19, ensuring that accurate information about this pandemic is easily accessible to the public through various channels, working with fact-checking organizations to identify and correct incorrect information, regulating the spread of disinformation about COVID-19 on social media and other online platforms, and collaborating with international organizations and other countries to share accurate information(1111 Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
https://doi.org/10.3390/su14010235...
,4242 Organisation for Economic Co-operation and Development (OECD). Transparency, communication and trust: The role of public communication in responding to the wave of disinformation about the new Coronavirus [Internet]. 2020[cited 2023 Feb 13]. Available from: https://www.oecd.org/coronavirus/policy-responses/transparency-communication-and-trust-the-role-of-public-communication-in-responding-to-the-wave-of-disinformation-about-the-new-coronavirus-bef7ad6e/
https://www.oecd.org/coronavirus/policy-...
).

In our study, it became clear that being from another country, other than Brazil, is a protective factor for agreement with disinformation content among older adults. Although it is not possible to assert that Brazilian seniors consume more disinformation content about Covid-19 than those in other Portuguese-speaking countries, there is evidence in the literature that suggests that political factors played a role in shaping public perceptions about the pandemic in the country(1111 Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
https://doi.org/10.3390/su14010235...
,4343 Massarani L, Mendes IM, Fagundes V, Polino C, Castelfranchi Y, Maakaroun B. Confiança, atitudes, informação: um estudo sobre a percepção da pandemia de COVID-19 em 12 cidades brasileiras. Cien Saude Colet. 2021;26(8):3265-76. https://doi.org/10.1590/1413-81232021268.05572021
https://doi.org/10.1590/1413-81232021268...
).

Brazil was one of the countries hardest hit by the pandemic studied, with more than 14 million confirmed cases and more than 380,000 deaths in March 2023(4444 Github. COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins Universit [Internet]. 2023[cited 2023 Feb 13]. Available from: https://github.com/CSSEGISandData/COVID-19
https://github.com/CSSEGISandData/COVID-...
). The country’s response to the pandemic was highly politicized, with people in high management positions minimizing the severity of the virus and resisting public health measures such as social isolation and mask-wearing. Additionally, the crisis situation due to the pandemic in Brazil was long-lasting and critical, leading Brazilians to spend a lot of time in social isolation. Socially isolated elderly people may have limited access to accurate information and are more likely to rely on unreliable sources of information(4545 Santos NF, Cesar CM. COVID and populism in the news: how Brazilian media outlets approach the issue of populism during the pandemic. Braz J Res 2021;17(3):536-61. https://doi.org/10.25200/BJR.v17n3.2021.1426
https://doi.org/10.25200/BJR.v17n3.2021....
-4646 Xavier DR, Silva ELE, Lara FA, Silva GRRE, Oliveira MF, Gurgel H, et al. Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: A population-based study. Lancet Reg Health Am. 2022;10:100221. https://doi.org/10.1016/j.lana.2022.100221
https://doi.org/10.1016/j.lana.2022.1002...
).

In contrast, in the Portuguese context, a population survey revealed that 7 in 10 Portuguese people are concerned about what is real or false on the internet. However, the percentage of Portuguese people denying such concern decreased by 2.9 percentage points in the subsequent survey(4747 Newman N, Fletcher R, Robertson CT, Eddy K, Nielsen RK. Reuters Institute Digital News Report 2022 [Internet]. 11th ed. University of Oxford. Reuters Institute for the Study of Journalism; 2022[cited 2023 Feb 13]. Available from: https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2022-06/Digital_News-Report_2022.pdf
https://reutersinstitute.politics.ox.ac....
).

Thus, the issue of disinformation consumption related to COVID-19 among older adults should draw the attention of nursing and healthcare teams, regarding behavioral factors and the influence of high-impact phenomena on the configuration of habits, attitudes, and practices intertwined with the process of human aging. It is important to emphasize that it is necessary to understand in a broad sense the reasons for the high prevalence of agreement with disinformation among elderly people, in order to avoid reinforcing ageist ideas(4848 Silva MF, Silva DSM, Bacurau AGM, Francisco PMSB, Assumpção D, Neri AL, et al. Ageism against older adults in the context of the COVID-19 pandemic: an integrative review. Rev Saude Publica. 2021;55:4. https://doi.org/10.11606/s1518-8787.2021055003082
https://doi.org/10.11606/s1518-8787.2021...
) that strengthen the stigmatization of aging in the face of the establishment of prohibitive and non-educational measures, making the elderly person the “other” of the pandemic(4949 Araujo PO, Freitas RA, Duarte ED, Cares LJ, Rodríguez KA, Guerra V, et al. ‘The other’ of the COVID-19 pandemic: ageism toward the elderly people in newspapers in Brazil and Chile. Saúde Debate. 2022;46(134):613-29. https://doi.org/10.1590/0103-1104202213402
https://doi.org/10.1590/0103-11042022134...
). In this sense, space must be opened for the knowledge of variables such as the level of education of the elderly, policies for accessing information available in and between countries, the absence of regulatory frameworks for direct and daily access to news, religiosity, and the rise of ideologically negationist movements.

Limitations

This research presents important limitations. As a cross-sectional study, it is not possible to establish a cause-and-effect relationship. Another limiting aspect was that data collection was conducted online with elderly people from countries with significant socioeconomic differences, which possibly led to a heterogeneous study population.

Contributions to the field of nursing and public health

As contributions to the field of health and nursing, the results of this study highlight the need to disseminate knowledge about the harms of disinformation among elderly people. It’s imperative to share ways to identify and dealing with it, to acknowledge the doubts, fears, anxieties, and concerns of elderly people regarding the use of technology and the consumption of news on the internet, health professionals should recognize the vulnerability of elderly people while also acknowledging their capacity for learning and questioning the legitimacy of news. Additionally, health professionals should adopt self-vigilant stances in combating age-related stereotypes about internet use. Finally, developing and implementing public policies that are capable of including the elderly population while respecting their rights, autonomy, and potentialities is crucial.

CONCLUSIONS

There is a concerning scenario of high agreement with disinformation related to COVID-19 among Brazilian and Portuguese elderly people. The two main variables that influence this agreement are the country of birth and the credibility given to the news source. It is important to provide elderly people with accurate and reliable sources of information on COVID-19 and help them develop the necessary skills to navigate online information sources and avoid false information. Health literacy programs can help people develop the skills needed to distinguish between real and fake news and identify sources of bias or disinformation.

  • FUNDING
    Coordination for the Improvement of Higher Education Personnel (CAPES) and National Council for Scientific and Technological Development (CNPq).

REFERENCES

  • 1
    Ilgaz A, Gözüm S. Advancing well-being and health of elderly with integrative nursing principles. Florence Nightingale Hemsire Derg. 2019;27(2):201-10. https://doi.org/10.26650/FNJN437700
    » https://doi.org/10.26650/FNJN437700
  • 2
    Kushkestani M, Parvani M, Nosrani SE, Rezaei S. The physical activity and fall risk among Iranian older male adults. Open Nurs J. 2020;14:159-67. https://doi.org/10.2174/1874434602014010159
    » https://doi.org/10.2174/1874434602014010159
  • 3
    Scherrer Júnior G, Passos KG, Oliveira LM, Okuno MFP, Alonso AC, Belasco AGS. Elderly’s activities of daily living, depressive symptoms and quality of life. Acta Paul Enferm. 2022;35:eAPE0237345. https://doi.org/10.37689/acta-ape/2022ao02373459
    » https://doi.org/10.37689/acta-ape/2022ao02373459
  • 4
    Katana B, Kaljić E, Hadžiomerović AM, Jaganjac A, Bojičić S, Trtak N. Assessment of functional mobility of persons in the 3rd age of life after programmed therapeutic exercises. J Health Sci. 2021;11(2):117-21. https://doi.org/10.17532/jhsci.2021.1151
    » https://doi.org/10.17532/jhsci.2021.1151
  • 5
    Babić D, Železnik D, Milosević M. Relationship between functional capacity and the occurrence of adverse events during healthcare utilization. J Health Sci. 2021.11(2):102-9. https://doi.org/10.17532/jhsci.2021.1174
    » https://doi.org/10.17532/jhsci.2021.1174
  • 6
    Silva SS, Silva NK, Lucena CCC, Borburema MM, Silva LGS, Santos MCS, et al. Idoso e Envelhecimento Ativo. Health Soc. 2022;2(1):73-9. https://doi.org/10.51249/hs.v2i01.883
    » https://doi.org/10.51249/hs.v2i01.883
  • 7
    Lunn PD, Belton CA, Lavin C, McGowan FP, Timmons S, Robertson D. Using Behavioral Science to help fight the Coronavirus. J Behav Pub Adm. 2020;3(1):1-15. https://doi.org/10.30636/jbpa.31.147
    » https://doi.org/10.30636/jbpa.31.147
  • 8
    Soares SSS, Souza NVDO, Carvalho EC, Queiroz ABA, Costa CCP, Souto JSS. COVID-19 pandemic and nursing week: analysis from software Iramuteq. Rev Bras Enferm. 2022;75(1):e20200690. https://doi.org/10.1590/0034-7167-2020-0690
    » https://doi.org/10.1590/0034-7167-2020-0690
  • 9
    Neto M, Lachtim SAF. COVID-19 Vaccination Campaign: Fake News Infodemic. Rev Bras Enferm. 2022;75(4):e750401. https://doi.org/10.1590/0034-7167.2022750401
    » https://doi.org/10.1590/0034-7167.2022750401
  • 10
    World Health Organization (WHO). Infodemic [Internet]. Geneva: WHO; 2023 [cited 2023 Feb 13]. Available from: https://www.who.int/health-topics/infodemic#tab=tab_1
    » https://www.who.int/health-topics/infodemic#tab=tab_1
  • 11
    Sousa AFL, Schneider G, Carvalho HEF, Oliveira LB, Lima SVMA, Sousa AR, et al. COVID-19 Misinformation in Portuguese-Speaking Countries: agreement with content and associated factors. sustainability. 2022;14(1):235. https://doi.org/10.3390/su14010235
    » https://doi.org/10.3390/su14010235
  • 12
    Diniz JL, Moreira ACA, Teixeira IX, Azevedo SGV, Freitas CASL, Maranguape IC. Digital inclusion and Internet use among older adults in Brazil: a cross-sectional study. Rev Bras Enferm. 2020;73(3):e20200241. https://doi.org/10.1590/0034-7167-2020-0241
    » https://doi.org/10.1590/0034-7167-2020-0241
  • 13
    Swire-Thompson B, Lazer D. Public health and online misinformation: challenges and recommendations. Annu Rev Public Health. 2020;41:433-51. https://doi.org/10.1146/annurev-publhealth-040119-094127
    » https://doi.org/10.1146/annurev-publhealth-040119-094127
  • 14
    Santos RFD, Almêda KA. O Envelhecimento Humano e a Inclusão Digital: análise do uso das ferramentas tecnológicas pelos idosos. Ciên Inform Rev. 2018;4(2):59-68. https://doi.org/10.28998/cirev.2017v4n2e
    » https://doi.org/10.28998/cirev.2017v4n2e
  • 15
    Chiu Ching-Ju, Liu Chia-Wen. Understanding older adult’s technology adoption and withdrawal for elderly care and education: mixed method analysis from national survey. J Med Internet Res. 2017;19(11):e374. https://doi.org/10.2196/jmir.7401
    » https://doi.org/10.2196/jmir.7401
  • 16
    Teixeira A. Fake news contra a vida: desinformação ameaça a vacinação de combate à febre amarela[Dissertação]. São Paulo: Pontifícia Universidade Católica de São Paulo; 2019.
  • 17
    Medlock S, Eslami S, Askari M, Arts DL, Sent D, Rooij SE, et al. Health information-seeking behavior of seniors who use the internet: a survey. J Med Internet Res. 2015;17(1):e10. https://doi.org/10.2196/jmir.3749
    » https://doi.org/10.2196/jmir.3749
  • 18
    Gong Y, Zhou J, Ding F. Investigating the demands for mobile internet-based home nursing services for the elderly. J Investig Med. 2022;70(3):844-52. https://doi.org/10.1136/jim-2021-002118
    » https://doi.org/10.1136/jim-2021-002118
  • 19
    He W, Cao L, Liu R, Wu Y, Zhang W. Factors associated with internet use and health information technology use among older people with multi-morbidity in the United States: findings from the National Health Interview Survey 2018. BMC Geriatr. 2022;22(1):733. https://doi.org/10.1186/s12877-022-03410-y
    » https://doi.org/10.1186/s12877-022-03410-y
  • 20
    Fhon JRS, Silva LM, Leitón-Espinoza ZE, Matiello FB, Araujo JS, Rodrigues RAP. Hospital care for elderly COVID-19 patients. Rev Latino-Am Enfermagem. 2020;28:e3396. https://doi.org/10.1590/1518-8345.4649.3396
    » https://doi.org/10.1590/1518-8345.4649.3396
  • 21
    Brashier NM, Schacter DL. Aging in an Era of Fake News. Curr Dir Psychol Sci. 2020;29(3):316-23. https://doi.org/10.1177/0963721420915872
    » https://doi.org/10.1177/0963721420915872
  • 22
    Queiroz AAFLN, Sousa AFL, Brignol S, Araújo TME, Reis RK. Vulnerability to HIV among older men who have sex with men users of dating apps in Brazil. Braz J Infect Dis. 2019;23(5):298-306. https://doi.org/10.1016/j.bjid.2019.07.005
    » https://doi.org/10.1016/j.bjid.2019.07.005
  • 23
    Sousa AFL, Teixeira JRB, Lua I, Souza FO, Ferreira AJF, Schneider G, et al. Determinants of COVID-19 Vaccine Hesitancy in Portuguese-Speaking Countries: a Structural Equations Modeling Approach. Vaccines (Basel). 2021;9(10):1167. https://doi.org/10.3390/vaccines9101167
    » https://doi.org/10.3390/vaccines9101167
  • 24
    Bastani P, Hakimzadeh SM, Bahrami MA. Designing a conceptual framework for misinformation on social media: a qualitative study on COVID-19. BMC Res Notes. 2021;14(1):408. https://doi.org/10.1186/s13104-021-05822-2
    » https://doi.org/10.1186/s13104-021-05822-2
  • 25
    Apuke OD, Omar B. Fake news and COVID-19: modelling the predictors of fake news sharing among social media users. Telemat Inform. 2021;56:101475. https://doi.org/10.1016/j.tele.2020.101475
    » https://doi.org/10.1016/j.tele.2020.101475
  • 26
    Roozenbeek J, Schneider CR, Dryhurst S, Kerr J, Freeman ALJ, Recchia G, et al. Susceptibility to misinformation about COVID-19 around the world. Rev Soc Open Sci. 2020;7:201199. https://doi.org/10.1098/rsos.201199
    » https://doi.org/10.1098/rsos.201199
  • 27
    Sommariva S, Vamos C, Mantzarlis A, Dào L Uyên-Lian, Tyson DM. Spreading the (fake) news: exploring health messages on social media and the implications for health professionals using a case study. Am J Health Educ. 2018;49(4):246-55. https://doi.org/10.1080/19325037.2018.1473178
    » https://doi.org/10.1080/19325037.2018.1473178
  • 28
    Sacramento I, Paiva R. Fake news, WhatsApp and vaccination against yellow fever in Brazil. MATRIZes. 2020;14(1):79-106. https://doi.org/10.11606/issn.1982-8160.v14i1p79-106
    » https://doi.org/10.11606/issn.1982-8160.v14i1p79-106
  • 29
    Wang Y, McKee M, Torbica A, Stuckler D. Systematic literature review on the spread of health-related misinformation on social media. Soc Sci Med. 2019;240:112552. https://doi.org/10.1016/j.socscimed.2019.112552
    » https://doi.org/10.1016/j.socscimed.2019.112552
  • 30
    Pickles K, Cvejic E, Nickel B, Copp T, Booner C, Leask J, et al. COVID-19 misinformation trends in Australia: prospective longitudinal national survey. J Med Internet Res. 2021;23(1):e23805. https://doi.org/10.2196/23805
    » https://doi.org/10.2196/23805
  • 31
    Vijaykumar S, Jin Y, Rogerson D, Lu X, Sharma S, Maughan A, et al. How shades of truth and age affect responses to COVID-19 (Mis) information: randomized survey experiment among WhatsApp users in UK and Brazil. Humanit Soc Sci Commun. 2021;8:88. https://doi.org/10.1057/s41599-021-00752-7
    » https://doi.org/10.1057/s41599-021-00752-7
  • 32
    Delgado CE, Silva EA, Castro EAB, Carbogim FC, Püschel VAA, Cavalcante RB. COVID-19 infodemic and adult and elderly mental health: a scoping review. Rev Esc Enferm USP. 2021;55:e20210170. https://doi.org/10.1590/1980-220X-REEUSP-2021-0170
    » https://doi.org/10.1590/1980-220X-REEUSP-2021-0170
  • 33
    Moore RC, Hancock JT. A digital media literacy intervention for older adults improves resilience to fake news. Sci Rep. 2022;12:6008. https://doi.org/10.1038/s41598-022-08437-0
    » https://doi.org/10.1038/s41598-022-08437-0
  • 34
    Mohamed-Amine C, Sanchez-Ramirez DC, Pol M, Uddin M, Monnin C, Syed-Abdul S. COVID-19 infodemic and digital health literacy in vulnerable populations: a scoping review. Digit Health. 2022;8:20552076221076927. https://doi.org/10.1177/20552076221076927
    » https://doi.org/10.1177/20552076221076927
  • 35
    Kitamura ES, Faria LR, Cavalcante RB, Leite ICG. Depression and generalized anxiety disorder in older adults by the COVID-19 infodemic. Acta Paul Enferm. 2022;35:eAPE03177. https://doi.org/10.37689/acta-ape/2022AO03177
    » https://doi.org/10.37689/acta-ape/2022AO03177
  • 36
    Seo H, Blomberg M, Altshwager D, Vu HT. Vulnerable populations and misinformation: a mixed-methods approach to underserved older adults’ online information assessment. New Media Soc. 2021;23(7):2012-33. https://doi.org/10.1177/1461444820925041
    » https://doi.org/10.1177/1461444820925041
  • 37
    Greenhalgh T, Wessely S. “Health for me”: a sociocultural analysis of healthism in the middle classes. Br Med Bull. 2004;69(1):197-213. https://doi.org/10.1093/bmb/ldh013
    » https://doi.org/10.1093/bmb/ldh013
  • 38
    Aizpurua A, Migueles M, Aranberri A. Prospective memory and positivity bias in the COVID-19 health crisis: the effects of aging. Front Psychol. 2021;12:666977. https://doi.org/10.3389/fpsyg.2021.666977
    » https://doi.org/10.3389/fpsyg.2021.666977
  • 39
    Tsao Shu-Feng, Chen H, Tisseverasinghe T, Yang Y, Li L, Butt ZA. What social media told us in the time of COVID-19: a scoping review. Lancet Digit Health. 2021;3(3):e175-94. https://doi.org/10.1016/S2589-7500(20)30315-0
    » https://doi.org/10.1016/S2589-7500(20)30315-0
  • 40
    Yang J, Tian Y. “Others are more vulnerable to fake news than I Am”: Third-person effect of COVID-19 fake news on social media users. Comput Human Behav. 2021;125:106950. https://doi.org/10.1016/j.chb.2021.106950
    » https://doi.org/10.1016/j.chb.2021.106950
  • 41
    Rocha YM, Moura GA, Desidério GA, Oliveira CH, Lourenço FD, Nicolete LDF. The impact of fake news on social media and its influence on health during the COVID-19 pandemic: a systematic review. Z Gesundh Wiss. 2021:1-10. https://doi.org/10.1007/s10389-021-01658-z
    » https://doi.org/10.1007/s10389-021-01658-z
  • 42
    Organisation for Economic Co-operation and Development (OECD). Transparency, communication and trust: The role of public communication in responding to the wave of disinformation about the new Coronavirus [Internet]. 2020[cited 2023 Feb 13]. Available from: https://www.oecd.org/coronavirus/policy-responses/transparency-communication-and-trust-the-role-of-public-communication-in-responding-to-the-wave-of-disinformation-about-the-new-coronavirus-bef7ad6e/
    » https://www.oecd.org/coronavirus/policy-responses/transparency-communication-and-trust-the-role-of-public-communication-in-responding-to-the-wave-of-disinformation-about-the-new-coronavirus-bef7ad6e/
  • 43
    Massarani L, Mendes IM, Fagundes V, Polino C, Castelfranchi Y, Maakaroun B. Confiança, atitudes, informação: um estudo sobre a percepção da pandemia de COVID-19 em 12 cidades brasileiras. Cien Saude Colet. 2021;26(8):3265-76. https://doi.org/10.1590/1413-81232021268.05572021
    » https://doi.org/10.1590/1413-81232021268.05572021
  • 44
    Github. COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins Universit [Internet]. 2023[cited 2023 Feb 13]. Available from: https://github.com/CSSEGISandData/COVID-19
    » https://github.com/CSSEGISandData/COVID-19
  • 45
    Santos NF, Cesar CM. COVID and populism in the news: how Brazilian media outlets approach the issue of populism during the pandemic. Braz J Res 2021;17(3):536-61. https://doi.org/10.25200/BJR.v17n3.2021.1426
    » https://doi.org/10.25200/BJR.v17n3.2021.1426
  • 46
    Xavier DR, Silva ELE, Lara FA, Silva GRRE, Oliveira MF, Gurgel H, et al. Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: A population-based study. Lancet Reg Health Am. 2022;10:100221. https://doi.org/10.1016/j.lana.2022.100221
    » https://doi.org/10.1016/j.lana.2022.100221
  • 47
    Newman N, Fletcher R, Robertson CT, Eddy K, Nielsen RK. Reuters Institute Digital News Report 2022 [Internet]. 11th ed. University of Oxford. Reuters Institute for the Study of Journalism; 2022[cited 2023 Feb 13]. Available from: https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2022-06/Digital_News-Report_2022.pdf
    » https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2022-06/Digital_News-Report_2022.pdf
  • 48
    Silva MF, Silva DSM, Bacurau AGM, Francisco PMSB, Assumpção D, Neri AL, et al. Ageism against older adults in the context of the COVID-19 pandemic: an integrative review. Rev Saude Publica. 2021;55:4. https://doi.org/10.11606/s1518-8787.2021055003082
    » https://doi.org/10.11606/s1518-8787.2021055003082
  • 49
    Araujo PO, Freitas RA, Duarte ED, Cares LJ, Rodríguez KA, Guerra V, et al. ‘The other’ of the COVID-19 pandemic: ageism toward the elderly people in newspapers in Brazil and Chile. Saúde Debate. 2022;46(134):613-29. https://doi.org/10.1590/0103-1104202213402
    » https://doi.org/10.1590/0103-1104202213402

Edited by

EDITOR IN CHIEF: Dulce Barbosa
ASSOCIATE EDITOR: Antonio José de Almeida Filho

Publication Dates

  • Publication in this collection
    11 Aug 2023
  • Date of issue
    2023

History

  • Received
    27 Mar 2023
  • Accepted
    13 Apr 2023
Associação Brasileira de Enfermagem SGA Norte Quadra 603 Conj. "B" - Av. L2 Norte 70830-102 Brasília, DF, Brasil, Tel.: (55 61) 3226-0653, Fax: (55 61) 3225-4473 - Brasília - DF - Brazil
E-mail: reben@abennacional.org.br