“Fear the Flu, Not the Flu Shot”: A Test of the Extended Parallel Process Model

Roberto, Anthony J.; Mongeau, Paul A.; Li, Yanqin; Hashi, Emi C.

doi:10.1080/10810730.2019.1673520

Cited by 27 publications

(35 citation statements)

References 18 publications

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“…The trends observed in previous studies [ 18 , 19 ] and the results of this study show that the efficacy dimension of EPPM has a more positive effect on health behavior than the threat dimension. This pattern was also observed in preventive behaviors numbers 4 to 7 (use protection for eyes such as goggles, masks or shields during all treatment steps, wear protective uniforms (gown or protective clothing, protective gloves) during all treatment steps, disinfect equipment and surfaces and regularly, request patients to wash their hands with soap and water upon entering the dental office).…”

Section: Discussionsupporting

confidence: 82%

Fear control and danger control amid COVID-19 dental crisis: Application of the Extended Parallel Process Model

et al. 2020

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Objectives There is high risk of contamination with COVID-19 virus during routine dental procedures and infection control is crucial. The aim of this study was to determine the factors associated with Covid-19 preventive behaviors among oral health care providers using an extended parallel process model (EPPM). Methods In a cross-sectional study, short text message invite surveys were sent to 870 oral health care providers in west part of Iran. Data were collected through validated self-report EPPM questionnaires. Descriptive statistics, Chi-square and Fishers exact tests were used for data analysis. Results In total, 300 completed questionnaires were received and the mean age of respondents was 29.89 ± 11.17 years (range: 20-75 years). Among the study population, 284 (94.67%) perceived the threat of infection highly. Washing hands frequently with water and soap and use of hand sanitizer was reported by 93.33%, of participants. Age (P = 0.010), sex (P = 0.002) and occupation field (P = 0.010) were significantly associated with danger control responses. Data identified that those oral health care providers that were on the danger

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Section: Discussionsupporting

confidence: 82%

Fear control and danger control amid COVID-19 dental crisis: Application of the Extended Parallel Process Model

et al. 2020

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“…[18]. These theories extend their application in empirical studies on public health emergencies, including SARS [19], Ebola [20], MERS [21], and influenza [22]. Although these theories try to describe the change of health behavior from different perspectives, they generally share the core concept that individual factors can influence and maintain the decisions on health behavior, provided that information is available [23].…”

Section: Health Behavior In Pandemicmentioning

confidence: 99%

Exploring How Media Influence Preventive Behavior and Excessive Preventive Intention during the COVID-19 Pandemic in China

Liu

Xie

et al. 2020

IJERPH

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In the context of global fighting against the unexpected COVID-19 pandemic, how to promote the public implementation of preventive behavior is the top priority of pandemic prevention and control. This study aimed at probing how the media would affect the public’s preventive behavior and excessive preventive intention accordingly. Data were collected from 653 respondents in the Chinese mainland through online questionnaires and further analyzed by using partial least squares structural equation modeling (PLS-SEM). Taking risk perception, negative emotions, and subjective norms as mediators, this study explored the impact of mass media exposure and social networking services involvement on preventive behavior and excessive preventive intention. Based on differences in the severity of the pandemic, the samples were divided into the Wuhan group and other regions group for multi-group comparison. The results showed that mass media exposure had a significant positive impact on subjective norms; moreover, mass media exposure could significantly enhance preventive behavior through subjective norms, and social networking services involvement had a significant positive impact on negative emotions; meanwhile, social networking services involvement promoted excessive preventive intention through negative emotions.

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“…There has been great interest in understanding the vaccination behaviors of the US undergraduate population, [8][9][10][11][12][13][14][15][16][17][18][19] likely due to their reportedly low vaccination rate (found to be anywhere from 8-30% 15,[20][21][22] of the student body). Cross-sectional survey techniques have illuminated social, psychological, and physical barriers to increased undergraduate vaccination.…”

Section: Introductionmentioning

confidence: 99%

“…Cross-sectional survey techniques have illuminated social, psychological, and physical barriers to increased undergraduate vaccination. 8,10,13,15,17,23,24 However, few published studies have probed the effectiveness of various interventions on collegiate vaccination rates, 9,11,12,18,19,25 and of those even fewer have used participant vaccination outcome as the variable of interest. 9,11,18,19 Concurrently, there has been a surge in the presence of social networking services (SNS), with utilization increasing from 36% of US adults in 2009 to 72% in 2019 (70% to 90% utilization in college-aged Americans).…”

Section: Introductionmentioning

confidence: 99%

Catch the tweet to fight the flu: Using Twitter to promote flu shots on a college campus

Osborne

Kenah

Lancaster

et al. 2021

Journal of American College Health

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Objective: Over the 2018-2019 flu season we conducted a randomized controlled trial examining the efficacy of a Twitter campaign on vaccination rates. Concurrently we investigated potential interactions between digital social network structure and vaccination status. Participants: Undergratuates at a large midwestern public university were randomly assigned to an intervention (n = 353) or control (n = 349) group. Methods: Vaccination data were collected via monthly surveys. Participant Twitter data were collected through the public-facing Twitter API. Intervention impact was assessed with logistic regression. Standard network science tools examined vaccination coverage over online social networks. Results: The campaign had no effect on vaccination outcome. Receiving a flu shot the prior year had a positive impact on participant vaccination. Evidence of an interaction between digital social network structure and vaccination status was detected. Conclusions: Social media campaigns may not be sufficient for increasing vaccination rates. There may be potential for social media campaigns that leverage network structure.

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“Fear the Flu, Not the Flu Shot”: A Test of the Extended Parallel Process Model

Cited by 27 publications

References 18 publications

Fear control and danger control amid COVID-19 dental crisis: Application of the Extended Parallel Process Model

Fear control and danger control amid COVID-19 dental crisis: Application of the Extended Parallel Process Model

Exploring How Media Influence Preventive Behavior and Excessive Preventive Intention during the COVID-19 Pandemic in China

Catch the tweet to fight the flu: Using Twitter to promote flu shots on a college campus

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