scholarly journals Risk Profile of Thanksgiving Gatherers and Subsequent SARS-CoV2 Testing and Diagnosis

2021 ◽  
Author(s):  
William You ◽  
Madhura Rane ◽  
Rebecca Zimba ◽  
Amanda Berry ◽  
Sarah Kulkarni ◽  
...  
Keyword(s):  
Public Health ◽  
Perceived Risk ◽  
Risk Perceptions ◽  
Multinomial Logistic Regression ◽  
The United States ◽  
Risk Scores ◽  
Behavioral Risk ◽  
Logistic Regression Models ◽  
Subsequent Test ◽  
Before And After

ABSTRACTBackgroundDuring Fall 2020 in the United States (U.S.), despite high COVID-19 case numbers and recommendations from public health officials not to travel and gather with individuals outside one’s household, millions of people gathered for Thanksgiving. The objective of this study was to understand if individuals’ behaviors and risk perceptions influenced their decision to gather, and if they did gather, their subsequent test seeking and diagnoses.MethodsParticipants were part of the CHASING COVID Cohort study - a U.S. national prospective cohort. The study sample consisted of participants who completed routine questionnaires before and after Thanksgiving. Non-pharmaceutical interventions (NPIs) use informed behavioral risk scores and a score of perceived risk of COVID-19 were assigned to each participant. Multinomial logistic regression models were used to assess the association between higher risk behaviors and gathering with other households, and the association of gathering with subsequent testing and test positivity.ResultsA total of 1,932 (40.5%) cohort participants spent Thanksgiving with individuals from at least one other household. Participants with higher behavioral risk scores had greater odds of gathering with one other household (aOR: 2.35, 95% CI: 2.0, 2.7), two other households (aOR: 4.54, 95% CI: 3.7, 5.6), and three or more other households (aOR: 5.44, 95% CI: 4.1, 7.2). Participants perceiving COVID-19 as a low-risk to themselves and others had greater odds of gathering with one other household (aOR: 1.12, 95% CI: 0.97, 1.3), two other households (aOR: 1.39, 95% CI: 1.1, 1.7), and three or more other households (aOR: 1.86, 95% CI: 1.4, 2.4). Those who spent Thanksgiving with one or more other households had 1.23 times greater odds (95% CI: 1.1, 1.4) of having a COVID-19 test afterward. There was no association between gathering for Thanksgiving and subsequent COVID-19 test positivity or developing COVID-19 symptoms.ConclusionsThose who gathered with other households for Thanksgiving tended to engage in higher-risk activities. Thanksgiving gathering with other households was not associated with subsequently testing positive for COVID-19, but only a small proportion obtained post-travel testing. Public health messaging should emphasize behavior change strategies that promote safer gathering.

scholarly journals Relationships among COVID-19 Prevention Practices, Risk Perception and Individual Characteristics: A Temporal Analysis

2021 ◽  
Vol 18 (20) ◽  
pp. 10901
Author(s):  
Lu Wang ◽  
Jie Yu ◽  
Dongmei Chen ◽  
Lixia Yang
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Perceived Risk ◽  
Risk Perceptions ◽  
Online Survey ◽  
Temporal Analysis ◽  
Individual Characteristics ◽  
Prevention Measures ◽  
Temporal Perspective ◽  
Logistic Regression Models

The effectiveness of public health measures in containing an infectious disease largely depends on how the general public is taking the prevention practices in daily lives. Previous studies have shown that different risk perceptions and sociodemographic characteristics may lead to vastly different prevention behaviors. This paper applies a temporal perspective in examining the changing patterns of prevention practices over time and their dynamic relationships with the perceived risk towards COVID-19 and its individual characteristics. Three key timelines (February, April, and June of 2020) were identified to represent the early, lockdown, and reopening stages of the first wave. Data were drawn from an online survey conducted in the Greater Toronto Area (GTA) of Canada (n = 470). Chi-square tests and logistic regression models revealed important temporal patterns in practicing different hygienic and mobility-related prevention measures and the respondents’ risk perceptions during the three timelines. The factors predicting the level of prevention practices vary across the three timelines, based on the specific type of prevention, and within the changing public health contexts. This study contributes to the literature on COVID-19 by incorporating a temporal perspective in conceptualizing prevention predictors. It provides crucial insights for developing timely public health strategies to improve infectious disease prevention at different stages and for individuals with varying backgrounds.

scholarly journals Patterns and correlates of mis-implementation in state chronic disease public health practice in the United States

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Margaret M. Padek ◽  
Stephanie Mazzucca ◽  
Peg Allen ◽  
Emily Rodriguez Weno ◽  
Edward Tsai ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Decision Making ◽  
Chronic Disease ◽  
Multinomial Logistic Regression ◽  
Public Health Practice ◽  
State Level ◽  
The United States ◽  
Organizational Level ◽  
Effective Programs

Abstract Background Much of the disease burden in the United States is preventable through application of existing knowledge. State-level public health practitioners are in ideal positions to affect programs and policies related to chronic disease, but the extent to which mis-implementation occurring with these programs is largely unknown. Mis-implementation refers to ending effective programs and policies prematurely or continuing ineffective ones. Methods A 2018 comprehensive survey assessing the extent of mis-implementation and multi-level influences on mis-implementation was reported by state health departments (SHDs). Questions were developed from previous literature. Surveys were emailed to randomly selected SHD employees across the Unites States. Spearman’s correlation and multinomial logistic regression were used to assess factors in mis-implementation. Results Half (50.7%) of respondents were chronic disease program managers or unit directors. Forty nine percent reported that programs their SHD oversees sometimes, often or always continued ineffective programs. Over 50% also reported that their SHD sometimes or often ended effective programs. The data suggest the strongest correlates and predictors of mis-implementation were at the organizational level. For example, the number of organizational layers impeded decision-making was significant for both continuing ineffective programs (OR=4.70; 95% CI=2.20, 10.04) and ending effective programs (OR=3.23; 95% CI=1.61, 7.40). Conclusion The data suggest that changing certain agency practices may help in minimizing the occurrence of mis-implementation. Further research should focus on adding context to these issues and helping agencies engage in appropriate decision-making. Greater attention to mis-implementation should lead to greater use of effective interventions and more efficient expenditure of resources, ultimately to improve health outcomes.

scholarly journals Face Covered and Six Feet Apart: Behavioral Awareness Predicts Greater Adherence to Public Health Guidelines during the COVID-19 Pandemic

2021 ◽  
Vol 18 (16) ◽  
pp. 8247
Author(s):  
Alyssa Schneider ◽  
Emily B. Kroska
Keyword(s):  
Public Health ◽  
Psychological Flexibility ◽  
The United States ◽  
Future Research ◽  
Physical And Mental Health ◽  
Logistic Regression Models ◽  
Demographic Correlates ◽  
Amazon's Mechanical Turk ◽  
Predictors Of Adherence ◽  
Close Contacts

The COVID-19 pandemic has deleteriously impacted physical and mental health. Guidelines to limit the spread of COVID-19 include wearing a face covering in public, limiting close contacts, and physical distancing. In combatting this and future pandemics, it is essential to understand predictors of adherence, such as psychological flexibility. We hypothesized higher psychological flexibility would relate to greater adherence to public health guidelines. Participants (n = 265) were English-reading/speaking adults in the United States and were recruited through Amazon’s Mechanical Turk. Included in the present analyses are data from June (n = 360) and July 2020 (n = 265). Measures included the Comprehensive Assessment of ACT Processes (CompACT), which measured psychological flexibility. Outcome measures included mask-wearing and number of close contacts, which were operationalized categorically (100% mask-wearing in public, ≤10 close contacts in past week). Two logistic regression models examined psychological flexibility and distress as predictors of adherence to mask-wearing and limiting close contacts, while controlling for demographic correlates. Results indicated that greater behavioral awareness predicted greater odds of mask-wearing and limiting close contacts. Psychological flexibility, and behavioral awareness specifically, should be investigated in future research as targets for intervention amidst global disasters.

scholarly journals Do Socioeconomic Conditions Explain Ethnic Inequalities in Tooth Loss among US Adults?

2018 ◽  
Vol 28 (3) ◽  
pp. 201
Author(s):  
Fatma W. Nazer ◽  
Wael Sabbah
Keyword(s):  
Ethnic Differences ◽  
Tooth Loss ◽  
Family Income ◽  
The United States ◽  
Outcome Variable ◽  
Behavioral Risk ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Ethnic Inequalities

<p class="Pa7"><strong>Objective: </strong>To assess whether there are ethnic differences in tooth loss among adult Americans aged &lt;40 years and whether socioeconomic position attenuates these differences if they exist.</p><p class="Pa7"><strong>Methods: </strong>Data were from the 2014 Behavioral Risk Factor Surveillance System, a health-related telephone cross-sectional survey of a nationally representative sample of US adults. Tooth loss (one tooth or more) was used as the outcome variable. Ethnicity was the main explanatory variable. Family income, education and health insurance were also used in the analysis. Logistic regression models for tooth loss were constructed adjusting for demographic (age, sex, and ethnicity), socioeconomic indica­tors (income and education), health insur­ance, dental visits, smoking and diabetes.</p><p class="Pa7"><strong>Results: </strong>A total of 76,273 participants were included in the analysis. The prevalence of tooth loss was highest among Blacks (33.7%). Hispanics and other ethnic groups had a higher prevalence of tooth loss than Whites, 29.1% (95%CI: 27.7-30.6), 22.0% (95%CI: 20.3-23.8), and 20.8% (95%CI: 20.2-21.4), respectively. Blacks had odds ra­tios (OR) 1.98 (95%CI: 1.81-2.16) for tooth loss compared with Whites. After adjusting for socioeconomic positions (SEP), the rela­tionship attenuated but remained significant with OR 1.71 (95%CI: 1.55-1.90).</p><p class="Default"><strong>Conclusions: </strong>Despite recent changes in the health care system in the United States, ethnic inequalities in tooth loss still exist. Income and education partially explained ethnic differences in tooth loss among Americans aged &lt;40 years.</p><p class="Default"><em>Ethn Dis. </em>2018;28(3):201-206; doi:10.18865/ ed.28.3.201</p>

scholarly journals Patterns and Correlates of Mis-implementation in State Chronic Disease Public Health Practice in the United States

2021 ◽  
Author(s):  
Margaret Padek ◽  
Stephanie Mazzucca ◽  
Peg Allen ◽  
Emily Rodriguez Weno ◽  
Edward Tsai ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Decision Making ◽  
Chronic Disease ◽  
Multinomial Logistic Regression ◽  
Public Health Practice ◽  
State Level ◽  
The United States ◽  
Organizational Level ◽  
Effective Programs

Abstract Background: Much of the disease burden in the United States is preventable through application of existing knowledge. State-level public health practitioners are in ideal positions to affect programs and policies related to chronic disease, but the extent to which mis-implementation occurring with these programs is largely unknown. Mis-implementation refers to ending effective programs and policies prematurely or continuing ineffective ones. Methods: A 2018 comprehensive survey assessing the extent of mis-implementation and multi-level influences on mis-implementation was reported by state health departments (SHDs). Questions were developed from previous literature. Surveys were emailed to randomly selected SHD employees across the Unites States. Spearman’s correlation and multinomial logistic regression were used to assess factors in mis-implementation. Results: Half (50.7%) of respondents were chronic disease program managers or unit directors. Forty nine percent reported that programs their SHD oversees sometimes, often or always continued ineffective programs. Over 50% also reported that their SHD sometimes or often ended effective programs. The data suggest the strongest correlates and predictors of mis-implementation were at the organizational level. For example, the number of organizational layers impeded decision-making was significant for both continuing ineffective programs (OR=4.70; 95% CI=2.20, 10.04) and ending effective programs (OR=3.23; 95% CI=1.61, 7.40). Conclusion: The data suggest that changing certain agency practices may help in minimizing the occurrence of mis-implementation. Further research should focus on adding context to these issues and helping agencies engage in appropriate decision-making. Greater attention to mis-implementation should lead to greater use of effective interventions and more efficient expenditure of resources, ultimately to improve health outcomes.

scholarly journals Perceived Risk of Mosquito-Borne Arboviruses in the Continental United States

Pathogens ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1562
Author(s):  
Saul Lozano ◽  
Jonathan Day ◽  
Lilyana Ortega ◽  
Maggie Silver ◽  
Roxanne Connelly
Keyword(s):  
United States ◽  
Risk Perception ◽  
Vector Control ◽  
News Media ◽  
Perceived Risk ◽  
Risk Perceptions ◽  
The United States ◽  
Transmission Risk ◽  
Accurate Information ◽  
Use Of Resources

The United States experienced local transmission of West Nile Virus (WNV) for the first time in 1999, and Zika Virus (ZIKV) in 2016. These introductions captured the public’s attention in varying degrees. The research presented here analyzes the disproportional perception of ZIKV risk compared to WNV transmission risk, by the public and vector control personnel. The risk perception of vector control was measured through purposive sampled interviews (24 interviews in 13 states; May 2020–June 2021), while the public’s perception was estimated from news publications (January 2000–December 2020), and Google searches (January 2004–December 2020). Over time, we observed a decrease in the frequency of press reporting and Google searches of both viruses with decreasing annual peaks in the summer. The highest peak of ZIKV news, and searches, surpassed that of WNV. We observed clear differences in the contents of the headlines for both viruses. We propose that the main reason in risk perception differences between the viruses were psychological. Zika infections (mosquito-borne and sexually transmitted) can result in devastating symptoms in fetuses and newborns, observations that frequently appeared in ZIKV-related headlines. Our results highlight the likely influence the news media has on risk perception and the need for public health agencies to play active roles in the conversation, helping disseminate timely and accurate information. Understanding the factors that shape risk perceptions of vector-borne diseases will hopefully lead to better use of resources by providing better guidance.

scholarly journals Examining Risk Perceptions Among Daily Smokers Naïve to Reduced Nicotine Content Cigarettes

2018 ◽  
Vol 21 (7) ◽  
pp. 985-990 ◽  
Author(s):  
Melissa Mercincavage ◽  
Kirsten Lochbuehler ◽  
Andrea C Villanti ◽  
E Paul Wileyto ◽  
Janet Audrain-McGovern ◽  
...  
Keyword(s):  
Risk Perceptions ◽  
Regression Models ◽  
Multinomial Logistic Regression ◽  
Experimental Studies ◽  
Treatment Seeking ◽  
Logistic Regression Models ◽  
Nicotine Content ◽  
Risks And Benefits ◽  
Safety Risks ◽  
Educational Campaigns

Abstract Introduction The U.S. Food and Drug Administration (FDA) has stated its interest in reducing the addictiveness of combustible cigarettes by lowering their nicotine content. Delineating risk perceptions of reduced nicotine content (RNC) cigarettes prior to federal regulation may inform the content of future educational campaigns accompanying this policy. Methods Five hundred non–treatment-seeking, daily smokers naïve to RNC cigarettes (63.0% male, 51.6% nonWhite, mean [SD] cigarettes per day = 15.69 [7.58], age = 43.44 [11.46]) completed a 10-item RNC cigarette risk perception questionnaire at baseline in two, unrelated experimental studies. We used multinomial logistic regression models to identify demographic (eg, gender) and smoking-related (eg, nicotine dependence) correlates of RNC cigarette risk perceptions. Results Although the majority of participants did not misperceive RNC cigarettes as less harmful than regular or high nicotine cigarettes, a large portion of the sample held misperceptions about RNC cigarettes’ addictiveness (56.4%) and cessation aid potential (63.4%). More than 20% of the sample reported being unsure about RNC-related risks, especially tar content (51.8%). NonWhite smokers were 2.5 to 3 times more likely to be incorrect about multiple RNC cigarette risks (p = .002–.006). Conclusions If the FDA mandates a reduced nicotine content standard for cigarettes, educational campaigns will be needed to correct misperceptions about RNC cigarettes’ addictiveness and potential to aid cessation as well as inform consumers about their safety risks. Campaigns tailored toward nonWhite smokers may also be needed to correct misperceptions of RNC cigarette risks held by this subgroup. Implications The FDA has stated its interest in reducing cigarettes’ addictiveness by lowering their nicotine content, enabling smokers to quit. Our findings suggest that most smokers who have not used RNC cigarettes do not perceive these products as less addictive or as cessation tools, stressing a need for future educational campaigns to correct these misperceptions. Campaigns are also needed to educate uninformed smokers about RNC cigarettes and should consider targeting messages toward subgroups likely to hold misperceptions about the risks and benefits of using these products (eg, nonWhite smokers).

Outdoor Recreationists’ Perceptions of Risk, Agency Trust, and Visitor Capacities During the COVID-19 Pandemic

2021 ◽  
Author(s):  
William Rice ◽  
Timothy Mateer ◽  
Peter Newman ◽  
Ben Lawhon ◽  
Nathan Reigner ◽  
...  
Keyword(s):  
Public Health ◽  
Perceived Risk ◽  
Outdoor Recreation ◽  
Public Lands ◽  
The United States ◽  
Individual Risk ◽  
Public Health Agencies ◽  
Management Actions ◽  
Health Agencies ◽  
Community Risk

For nearly a century in the United States, visitor capacities have served as a means of preserving resources and the visitor experience on public lands. The COVID-19 pandemic resulted in increased interest in implementing visitor capacities that could potentially limit use on public lands, suggesting a need to understand public support for their use in a timely manner. Risk and trust have been used in previous research concerning support for natural resource and outdoor recreation decision-making. Research in this realm includes investigation at the intersection of outdoor recreation and public health, specific to chronic wasting disease. Following this previous research, this study utilizes the constructs of risk and trust to examine support for visitor capacities that could potentially limit use during the COVID-19 pandemic. Specifically, this theory-driven research relies on the cultural theory of risk and social trust theory. Using structural equation modeling and a sample of avid outdoor enthusiasts, we examine how well 1) perceived individual risk, 2) perceived community risk, 3) trust in public health agencies, and 4) trust in public land agencies predict support for visitor capacities that could potentially limit use. An email-distributed online survey was available for 48 hours beginning on April 30, 2020—during the first wave of the COVID-19 pandemic in the United States. Measurement of perceived risk and trust followed previous research relating to outdoor recreation and public health. Results indicate that outdoor enthusiasts are concerned about their individual and community health and reported higher levels of trust in data coming directly from public health agencies as opposed to state or federal land management agencies. Additionally, perceived individual risk and perceived community risk were significant predictors of support for visitor capacities. These findings can be used to improve the effectiveness of messaging intended to connect perceived risk to the management of parks and protected areas, thus providing credibility to management actions implemented during the pandemic. Additional implications from this research include the need for additional research examining support for management actions that could potentially limit use on public lands, the multidimensionality of trust in outdoor recreation, and individual risk in frontcountry outdoor recreation settings.

scholarly journals Risk Factors of Lyme Disease: An Intersection of Environmental Ecology and Systems Science

Healthcare ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 66 ◽  
Author(s):  
Nasser Sharareh ◽  
Rachael P. Behler ◽  
Amanda B. Roome ◽  
Julian Shepherd ◽  
Ralph M. Garruto ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lyme Disease ◽  
Multinomial Logistic Regression ◽  
Ground Cover ◽  
The United States ◽  
System Level ◽  
Systems Science ◽  
Behavioral Risk ◽  
Risk Of Exposure ◽  
Risk Categories

Lyme disease (LD) cases have been on the rise throughout the United States, costing the healthcare system up to $1.3 billion per year, and making LD one of the greatest threats to public health. Factors influencing the number of LD cases range from environmental to system-level variables, but little is known about the influence of vegetation (canopy, understory, and ground cover) and human behavioral risk on LD cases and exposure to infected ticks. We determined the influence of various risk factors on the risk of exposure to infected ticks on 22 different walkways using multinomial logistic regression. The model classifies the walkways into high-risk and low-risk categories with 90% accuracy, in which the understory, human risk, and number of rodents are significant indicators. These factors should be managed to control the risk of transmission of LD to humans.

scholarly journals Policy liberalism and source of news predict pandemic-related health behaviors and trust in the scientific community

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252670
Author(s):  
Madeleine Reinhardt ◽  
Matthew B. Findley ◽  
Renee A. Countryman
Keyword(s):  
Public Health ◽  
United States ◽  
Health Behaviors ◽  
News Media ◽  
Perceived Risk ◽  
Scientific Community ◽  
The United States ◽  
World Health ◽  
Health Crisis ◽  
Health Measures

In March of 2020, the United States was confronted with a major public health crisis caused by the coronavirus disease (COVID-19). This study aimed to identify what factors influence adherence to recently implemented public health measures such as mask-wearing and social distancing, trust of scientific organizations like the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO) on information pertaining to the pandemic, and level of perceived risk. Data were collected from June 30, 2020 to July 22, 2020 on 951 adult residents of the United States using an online survey through Microsoft Forms. Multiple linear regression was used to identify the strongest predictors for compliance to pandemic-related health measures, trust in the scientific community, and perceived risk. Results showed that the strongest predictor of all variables of interest was degree of policy liberalism. Additionally, participants who consumed more conservative news media conformed less to the pandemic health guidelines and had less trust in the scientific community. Degree of policy liberalism was found to have a significant moderating effect on the relationship between gender and conformity to pandemic-related health behaviors. These findings have concerning implications that factors like degree of policy liberalism and source of news are more influential in predicting adherence to life-saving health measures than established risk factors like pre-existing health conditions.

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