Assessing the impact of the public nutrition information environment: Adapting the cancer information overload scale to measure diet information overload

Ramondt, Steven; Ramírez, A. Susana

doi:10.1016/j.pec.2018.07.020

Cited by 33 publications

(31 citation statements)

References 41 publications

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“…This is not surprising, because improved education results in improved access to knowledge, health information-seeking behavior and, in general, the opportunity to make sense of the information received. Contrary to the findings, however, Ramondt et al [ 19 ] found higher education level to be a significant predictor of diet information overload, and therefore argued that attainment of higher educational level does not automatically translate into the skills needed to manage too much information.…”

Section: Discussionmentioning

confidence: 78%

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Assessment of COVID-19 Information Overload Among the General Public

Mohammed

Sha’aban

Jatau

et al. 2021

J. Racial and Ethnic Health Disparities

102

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Background A relentless flood of information accompanied the novel coronavirus 2019 (COVID-19) pandemic. False news, conspiracy theories, and magical cures were shared with the general public at an alarming rate, which may lead to increased anxiety and stress levels and associated debilitating consequences.Objectives To measure the level of COVID-19 information overload (COVIO) and assess the association between COVIO and sociodemographic characteristics among the general public. Methods A cross-sectional online survey was conducted between April and May 2020 using a modified Cancer Information Overload scale. The survey was developed and posted on four social media platforms. The data were only collected from those who consented to participate. COVIO score was classified into high vs. low using the asymmetrical distribution as a guide and conducted a binary logistic regression to examine the factors associated with COVIO. Results A total number of 584 respondents participated in this study. The mean COVIO score of the respondents was 19.4 (± 4.0). Sources and frequency of receiving COVID-19 information were found to be significant predictors of COVIO. Participants who received information via the broadcast media were more likely to have high COVIO than those who received information via the social media (adjusted odds ratio ([aOR],14.599; 95% confidence interval [CI], 1.608-132.559; p = 0.017). Also, participants who received COVID-19 information every minute (aOR, 3.892; 95% CI,; p = 0.032) were more likely to have high COVIO than those who received information every week. Conclusion The source of information and the frequency of receiving COVID-19 information were significantly associated with COVIO. The COVID-19 information is often conflicting, leading to confusion and overload of information in the general population. This can have unfavorable effects on the measures taken to control the transmission and management of COVID-19 infection.

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Section: Discussionmentioning

confidence: 78%

“…Too much information, especially contradictory information, can have untoward effects on the general public [ 18 , 19 ]. Reliable and timely information from credible sources is essential to mitigate the negative consequences of misinformation on health, notably the current COVID-19 pandemic.…”

Section: Discussionmentioning

confidence: 99%

Assessment of COVID-19 Information Overload Among the General Public

Mohammed

Sha’aban

Jatau

et al. 2021

J. Racial and Ethnic Health Disparities

102

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“…This paper focuses on themes relating to fatalism about disease prevention and perceptions of the nutrition information environment. The embedded quantitative closed-ended survey assessed demographics, fatalism (Shen et al, 2009), and information overload (Jensen et al, 2014; Ramondt and Ramírez, 2018). Students who met the inclusion criteria pre-tested the survey instrument.…”

Section: Methodsmentioning

confidence: 99%

“… 1 Adapted from (Niederdeppe and Levy, 2007; Shen et al, 2009) 2,3 Adapted from (Jensen et al, 2014; Ramondt and Ramírez, 2018) …”

Section: Tablementioning

confidence: 99%

Beyond fatalism: Information overload as a mechanism to understand health disparities

Ramírez

Carmona

2018

Social Science & Medicine

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Background: Fatalism – beliefs about the causes and controllability of disease – has been negatively associated with prevention behaviors. Fatalism has been suggested as a mechanism for health disparities because ethnic minorities are especially likely to hold fatalistic beliefs. However, the construct has been criticized: Fatalism fails to account for structural barriers to health faced by vulnerable populations that also score highly on measures of fatalism. Another critique suggests that operationalizations of fatalism expose communication failures: “Fatalism” rather reflects information overload from an environment riddled with misinformation and contradictions. This study aimed to expand understanding of one mechanism through which communication may contribute to disparities by considering the context of nutrition among bicultural Latinas, who face increased risk from dietary acculturation. Method: Mixed-methods (semi-structured in-depth interview, survey) with Mexican-American women ages 18–29 (n=24) in rural California. Results: Contrary to previous studies, the majority of this sample of Mexican-American women did not endorse fatalistic beliefs; most demonstrated clear understanding of the link between diet and risk of diseases: Diabetes and heart disease were understood to result from behaviors within one’s control. Yet despite articulating links between diet and disease, participants felt overloaded and confused about conflicting information from public and interpersonal sources. Moreover, despite reporting feeling inundated with information, participants noted critical information gaps, distinguishing between information available and information needed. Conclusions: We found minimal support for fatalistic beliefs among a sample of Mexican-American women, but considerable information overload and confusion, together with a desire for specific knowledge and skills. Results extend understanding of how communication may influence disparities: Information overload may be conflated with fatalism, challenging the notion that fatalism is a cultural belief. Moreover, inequalities in access to and ability to process information compound overload effects. We discuss opportunities to improve the clarity of communication about nutrition science and dietary recommendations.

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“…Ramondt and Ramírez [137] suggested that access to unnecessary data can lead to feelings of overwhelming, particularly conflicting information, which characterizes the most healthier information. This framework has been associated with fatalist views, which are detrimental to protective behavior.…”

Section: ) Information Managementmentioning

confidence: 99%

Solution for Information Overload Using Faceted Search–A Review

et al. 2020

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In the modern society, Internet provides massive amounts of heterogeneous information, hence Information overload has become an ubiquitous issue. In this paper, we conduct a large scale quantitative study for articles dealing with (1) information overloading; (2) faceted search; and (3) filtering the data in three major databases, namely, Web of Science, ScienceDirect, and IEEE Explore. These three databases have presented 172 articles, which can be classified into four categories. The first category contains review and survey papers related to information overload. The second category includes papers that concentrate on developing theoretical frameworks to reduce information overloading. The third category contains papers dealing with improving structure or architectural of software for filtering the huge data. The fourth category includes papers that provide criteria to evaluate filtering techniques. Finally, our contribution provides further understanding of information overload, and gives an important basis for future research. Moreover, we illustrate that the dynamic faceted filters are more efficient to reduce the information overload.

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Assessing the impact of the public nutrition information environment: Adapting the cancer information overload scale to measure diet information overload

Cited by 33 publications

References 41 publications

Assessment of COVID-19 Information Overload Among the General Public

Assessment of COVID-19 Information Overload Among the General Public

Beyond fatalism: Information overload as a mechanism to understand health disparities

Solution for Information Overload Using Faceted Search–A Review

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