scholarly journals Pandemic Puppies: Characterising Motivations and Behaviours of UK Owners Who Purchased Puppies during the 2020 COVID-19 Pandemic

Animals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 2500
Author(s):  
Rowena M. A. Packer ◽  
Claire L. Brand ◽  
Zoe Belshaw ◽  
Camilla L. Pegram ◽  
Kim B. Stevens ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Online Survey ◽  
Poor Health ◽  
Behavioural Problems ◽  
Logistic Regression Models ◽  
The Public ◽  
Media Reports ◽  
The Uk ◽  
First Time

Widespread media reports suggest that unusually high numbers of the public purchased, or sought to purchase, puppies following the first ‘lockdown’ phase of the COVID-19 pandemic in the UK, dubbed “Pandemic Puppies”. This study aimed to explore this phenomenon by comparing pre-purchase motivations and behaviours, and purchase behaviours of UK owners purchasing puppies aged < 16 weeks from 23 March 2020–31 December 2020 with those of owners who purchased puppies during the same date-period in 2019. An online survey was conducted during November-December 2020, from which 5517 valid responses were analysed (2019 puppies: n = 1148; 2020 ‘Pandemic Puppies’: n = 4369). Over 1 in 10 Pandemic Puppy owners had not considered purchasing a puppy before the pandemic, and 2 in 5 felt their decision to purchase a puppy had been influenced by the pandemic, most commonly by having more time to care for a dog (86.7%). Multivariable logistic regression models revealed that Pandemic Puppy owners were more likely to be first-time dog owners and have children in their household, were less likely to seek out a breeder that performed health testing on their breeding dog(s) or view their puppy in-person, and were more likely to pay a deposit without seeing their puppy. At purchase, Pandemic Puppies were more likely to be younger, delivered or collected from outside their breeders’ property, seen without their littermates, and cost > £2000 compared with 2019 puppies. Changes in puppy purchasing during the pandemic raise welfare concerns for this unique population, including relinquishment, behavioural problems and poor health.

scholarly journals Understanding the factors influencing citizens’ willingness-to-accept the use of insects to feed poultry, cattle, pig and fish in Brazil

2019 ◽  
Author(s):  
Carla Heloisa de Faria Domingues ◽  
João Augusto Rossi Borges ◽  
Clandio Favarini Ruviaro ◽  
Diego Gomes Freire Guidolin ◽  
Juliana Rosa Mauad Carrijo
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Online Survey ◽  
Animal Feed ◽  
Negative Attitude ◽  
Willingness To Accept ◽  
Design Strategies ◽  
Alternative Source ◽  
Logistic Regression Models ◽  
Factors Influencing

AbstractThe increase in world’s population will cause a high demand of animal-sourced food, which will require a boost in the production of protein, because protein is an important component of animal feed. A higher production of protein, however, might contribute for the depletion of environmental resources. In this scenario, the use of insects as an alternative source of protein to feed animals could be a solution. However, citizens’ willingness-to-accept insect as a source of protein to feed animals is unknown, particularly in developing countries, such as Brazil. The aim of this study was to investigate the factors influencing citizens’ willingness-to-accept the use of insects to feed poultry, cattle, pig and fish. To reach this aim, we conducted an online survey with Brazilian citizens. We analyzed the data using descriptive statistics and four logistic regression models. In each of logistic models, the dependent variable was citizens’ willingness-to-accept the use of insects to feed either poultry, or cattle, or pig or fish. A set of independent variables including socio-demographic characteristics, attitudes, perceived benefits, perceived risks, and perceived concerns were used to explain citizens' willingness-to-accept the use of insect to feed animals. Results showed that most citizens would accept that poultry, pig, and fish receive insect-based diets, and half of the citizens would accept and half would not accept that cattle receive such diet. Results of the logistic regression models showed that citizens who had a positive attitude about using insects to feed animals were more willing-to-accept the use of insect to feed poultry, cattle, pig, and fish compared to those who had a negative attitude. Citizens who perceived the benefits of using insect to feed animals were less willing-to-accept the use of insects to feed poultry compared to those who didn’t perceive the benefits. Citizens who perceived the benefits of using insects to feed animals were more willing-to-accept the use of insect to feed fish compared to those who didn’t perceive the benefits. Citizens who were more concerned about using insect to feed animals were more willing-to-accept the use of insects to feed poultry compared to those who were less concerned. Finally, citizens who were more concerned about using insects to feed animals were less willing-to-accept the use of insect to feed pigs compared to those who were less concerned. These results revealed important insights that can be used to design strategies to increase the acceptance of the use of insects to feed poultry, cattle, pig, and fish.

Abstract P879: Differences in Statistical Performance of Polygenic Risk Scores for Cardiovascular Disease Across Different Race/Ethnicities

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Julian N Acosta ◽  
Cameron Both ◽  
Natalia Szejko ◽  
Stacy Brown ◽  
Kevin N Sheth ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Logistic Regression ◽  
Genetic Risk ◽  
Regression Models ◽  
Risk Scores ◽  
Uk Biobank ◽  
Polygenic Risk ◽  
Logistic Regression Models ◽  
The Uk ◽  
Significant Health

Introduction: Genome-wide association studies have identified numerous genetic risk variants for stroke and myocardial infarction (MI) in Europeans. However, the limited applicability of these results to non-Europeans due to racial/ethnic differences in the genetic architecture of cardiovascular disease (CVD), coupled with the limited availability of genomic data in non-Europeans, may create significant health disparities now that genomic-based precision medicine is a reality. We tested the hypothesis that the performance of polygenic risk scores (PRS) for CVD differ in Europeans versus non-Europeans. Methods: We conducted a nested study within the UK Biobank, a prospective, population-based study that enrolled ~500,000 participants across the UK. For this study, we identified self-reported black participants and randomly matched them 1:1 by age and sex with white participants. We created a PRS using previously discovered loci for stroke and MI. We then tested whether this PRS representing the aggregate polygenic susceptibility to CVD yielded similar precision in black versus white participants in logistic regression models. Results: Of the 502,536 participants enrolled in the UK Biobank, 8,061 were self-reported blacks, with 7,644 having available data for our analyses. We randomly matched these participants with white individuals, leading to a total sample size of 15,288 (mean age 51.9 [SD 8.1], female 8,722 [57%]). The total number of events was 741 overall, with 363 happening in blacks and 378 happening in whites. In logistic regression models including age, sex, and 5 principal components, the statistical precision (e.g. narrower confidence intervals) for the PRS was substantially higher for whites (OR 1.22, 95%CI 1.08 - 1.37; p<0.0001) compared to blacks (OR 1.24, 95%CI 1.05-1.47; p=0.01). Secondary analyses using genetically-determined ancestry yielded similar results. Conclusion: Because CVD-related PRSs are derived mainly using genetic risk factors identified in populations of European ancestry, their statistical performance is lower in non-European populations. This asymmetry can lead to significant health disparities now that these tools are being evaluated in multiple precision medicine approaches.

scholarly journals 409. High Engagement in Social Distancing and Mask Wearing and Associations with Reduced COVID-19 Infection Among California College Students

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S306-S306
Author(s):  
Lindsey Walicek ◽  
Annette Regan ◽  
Kelly L’Engle ◽  
Marie-Claude Couture
Keyword(s):  
College Students ◽  
Logistic Regression ◽  
Regression Models ◽  
Online Survey ◽  
Face Mask ◽  
Multiple Logistic Regression ◽  
Preventive Behaviors ◽  
Lower Odds ◽  
Social Distancing ◽  
Logistic Regression Models

Abstract Background Engaging in preventive behaviors, including face mask wearing and social distancing, has been widely recommended, and in some cases mandated, to limit the spread of the COVID-19 disease. Despite wide-scale use, there is little data available on engagement of mask wearing and social distancing in college students and associated COVID-19 infection. Methods A school-wide online survey was conducted (2021) among university students (n=2,132) in California. Frequency of mask-wearing and social distancing (indoors or public settings) and diagnosis with COVID-19 infection were measured. Multiple logistic regression models assessed associations between i) mask-wearing and ii) social distancing and COVID-19 infection, controlling for race, age, gender, and living with people who have high-risk health conditions. Results Fourteen percent (14.06%) reported previous COVID-19 infection. Most students reported wearing masks in public settings (77.9%) and indoors (58%). About half (49.9%) reported social distancing in public settings and 44.9% indoors. In multiple logistic regression models, wearing a mask indoors was associated with 30% lower odds of COVID-19 infection (OR= 0.70; 95% CI: 0.54,0.91) but no statistically significant association was observed for wearing a mask outdoors (OR= 0.80; 95% CI: 0.59,1.08). Social distancing indoors and outdoors was associated with a 34% (OR= 0.66; 95% CI: 0.50,0.86) and 32% (OR= 0.68; 95% CI: 0.52,0.88) decrease in the odds of infection, respectively. COVID-19 infection declined as the number of preventive behaviors a student engaged in increased. Compared to those who engaged in no preventive behavior, the odds of infection were 0.71 (95% CI: 0.46,1.11) among students engaging in one behavior, 0.70 (95% CI: 0.46,1.07) in two behaviors, 0.42 (95% CI: 0.25,0.70) in three behaviors, and 0.48 (95% CI: 0.31,0.74) among those who engaged in all four behaviors. Conclusion Wearing face masks and social distancing were both associated with lower odds of COVID-19 infection. The more preventive behaviors students engaged in the less frequently they reported COVID-19 infection. Our findings support existing guidelines promoting mask wearing and social distancing to limit the spread of COVID-19 disease. Disclosures All Authors: No reported disclosures

scholarly journals The rise of hunger among low-income households: an analysis of the risks of food insecurity between 2004 and 2016 in a population-based study of UK adults

2019 ◽  
Vol 73 (7) ◽  
pp. 668-673 ◽  
Author(s):  
Rachel Loopstra ◽  
Aaron Reeves ◽  
Valerie Tarasuk
Keyword(s):  
Logistic Regression ◽  
Food Insecurity ◽  
Low Income ◽  
Regression Models ◽  
Population Based ◽  
Exact Matching ◽  
Nutrition Survey ◽  
Logistic Regression Models ◽  
The Uk ◽  
Low Income Households

BackgroundRising food bank use in the past decade in the UK raises questions about whether food insecurity has increased. Using the 2016 Food and You survey, we describe the magnitude and severity of the problem, examine characteristics associated with severity of food insecurity, and examine how vulnerability has changed among low-income households by comparing 2016 data to the 2004 Low Income Diet and Nutrition Survey.MethodsThe Food and You survey is a representative survey of adults living in England, Wales, and Northern Ireland (n=3118). Generalised ordered logistic regression models were used to examine how socioeconomic characteristics related to severity of food insecurity. Coarsened exact matching was used to match respondents to respondents in the 2004 survey. Logistic regression models were used to examine if food insecurity rose between survey years.Results20.7% (95% CI 18.7% to 22.8%) of adults experienced food insecurity in 2016, and 2.72% (95% CI 2.07% to 3.58%) were severely food insecure. Younger age, non-white ethnicity, low education, disability, unemployment, and low income were all associated with food insecurity, but only the latter three characteristics were associated with severe food insecurity. Controlling for socioeconomic variables, the probability of low-income adults being food insecure rose from 27.7% (95% CI 24.8% to 30.6 %) in 2004 to 45.8% (95% CI 41.6% to 49.9%) in 2016. The rise was most pronounced for people with disabilities.ConclusionsFood insecurity affects economically deprived groups in the UK, but unemployment, disability and low income are characteristics specifically associated with severe food insecurity. Vulnerability to food insecurity has worsened among low-income adults since 2004, particularly among those with disabilities.

scholarly journals Factors Associated with Burnout Among Hematology & Oncology Physicians

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 41-42
Author(s):  
Leah E Masselink ◽  
Alfred Ian Lee ◽  
Clese E Erikson
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Online Survey ◽  
Positive Association ◽  
Work Hours ◽  
Advanced Practice ◽  
Community Practice ◽  
Academic Practice ◽  
Logistic Regression Models ◽  
Factors Associated

Background The American Society of Hematology and researchers at the Fitzhugh Mullan Institute for Health Workforce Equity at the George Washington University are conducting a 3-year study of the hematology workforce to understand factors that influence the supply of hematology services in the U.S. The Survey of Practicing Hematologists and Oncologists focuses on practicing hematology/oncology physicians' practice activities and experiences, compensation, job satisfaction and burnout. While the prevalence and predictors of burnout in the oncology workforce have been studied in detail previously, less is known about factors associated with burnout in the hematology or combined hematology/oncology workforce--or whether these differ across academic and community practice settings. This study seeks to examine factors associated with severe burnout for hematology/oncology physicians in academic and community practice settings using data from a large-scale, comprehensive survey of hematology/oncology physicians. Methods We collected survey data via mail and online survey (using Qualtrics, an online survey tool) in April through June 2019. The survey included questions about hematology/oncology physicians' work hours, practice activities, compensation, job satisfaction and burnout. This analysis uses data from a single validated question examining respondents' level of burnout: "Overall, based on your definition of burnout, how would you rate your level of burnout?" The question asks respondents to rank their burnout on a 5-point Likert scale. We collapsed responses into a dichotomous variable indicating severe burnout (=4 or 5 on the Likert scale). We used two weighted multiple logistic regression models to examine associations between severe burnout and work hours, practice characteristics and activities, and type of compensation for respondents in academic and community practice in Stata 15, controlling for demographics and type of practice (p&lt;0.05=statistically significant). Results A total of 675 hematologists/oncologists completed the survey (27% response rate). Of these, 427 respondents reported working in academic or community practice and had complete data to be included in the analysis: 162 (38%) in academic practice settings and 265 (62%) in community practice settings. Respondents in academic practice settings were slightly less likely to report experiencing severe burnout than those in community practice settings (9% [15/162] vs. 12% [34/265], p=0.26). In the logistic regression models, we found statistically significant and positive association between severe burnout and Relative Value Unit or RVU-based compensation (vs. salaried or other compensation models) for both academic (OR=18.42, p&lt;0.01) and community practice respondents (OR=3.05, p&lt;0.01). We also found a significant and positive association between severe burnout and being female for respondents in academic practice only (OR=6.07, p&lt;0.01). We found a significant and negative association between severe burnout and often working with advanced practice providers (nurse practitioners and/or physician assistants) for respondents in community practice only (OR=0.32, p&lt;0.01). Conclusions Study findings suggest that severe burnout rates are similar for hematology/oncology physicians in academic and community practice settings. Severe burnout appears to be related to use of RVU-based compensation systems in both academic and community practices, suggesting that these models may require major revision to reduce burnout and support the health and longevity in practice of hematology/oncology physicians. Improving access to advanced practice providers may mitigate severe burnout, especially in community practice settings. Higher levels of burnout among women in academic hematology/oncology practices suggest an area for further research into possible explanations and solutions. These findings merit further exploration, particularly given the increased pressures on physicians in the era of COVID-19. Disclosures No relevant conflicts of interest to declare.

scholarly journals Relationship between literacy skills and self-reported health in the Nordic countries

2016 ◽  
Vol 44 (8) ◽  
pp. 758-764 ◽  
Author(s):  
Kjersti Lundetræ ◽  
Egil Gabrielsen
Keyword(s):  
Logistic Regression ◽  
Educational Level ◽  
Regression Models ◽  
Nordic Countries ◽  
Literacy Skills ◽  
Poor Health ◽  
Logistic Regression Models ◽  
Optimal Health ◽  
Reported Health

Aims: This study investigated the association between literacy skills and self-reported health among Danish ( n = 7284), Finnish ( n = 5454), Norwegian ( n = 4942) and Swedish ( n = 4555) participants aged 16–65 years. Methods: Logistic regression models were used to assess the association between literacy skills and self-reported health after adjusting for sex, age and educational level. Results: Nordic participants aged 16–65 years with literacy skills at the lowest level reported sub-optimal health more often (28–37%) than those with literacy skills at the highest level (7–9%). After adjusting for sex, age and educational level, the likelihood of reporting sub-optimal health was 1.99–3.24 times as high for those with literacy skills at the lowest level as for those with literacy skills at the highest level. Conclusions:These results suggest that poor literacy skills increase the likelihood of experiencing poor health in the Nordic countries, even after controlling for educational level.

The impact of SPY angiography on intraoperative decision making and outcomes for post-mastectomy reconstruction

2019 ◽  
pp. 1-5
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Skin Necrosis ◽  
Regression Models ◽  
Multivariable Analysis ◽  
P Value ◽  
Flap Necrosis ◽  
Single Institution ◽  
Logistic Regression Models ◽  
The Impact

Objective: While the use of intraoperative laser angiography (SPY) is increasing in mastectomy patients, its impact in the operating room to change the type of reconstruction performed has not been well described. The purpose of this study is to investigate whether SPY angiography influences post-mastectomy reconstruction decisions and outcomes. Methods and materials: A retrospective analysis of mastectomy patients with reconstruction at a single institution was performed from 2015-2017.All patients underwent intraoperative SPY after mastectomy but prior to reconstruction. SPY results were defined as ‘good’, ‘questionable’, ‘bad’, or ‘had skin excised’. Complications within 60 days of surgery were compared between those whose SPY results did not change the type of reconstruction done versus those who did. Preoperative and intraoperative variables were entered into multivariable logistic regression models if significant at the univariate level. A p-value <0.05 was considered significant. Results: 267 mastectomies were identified, 42 underwent a change in the type of planned reconstruction due to intraoperative SPY results. Of the 42 breasts that underwent a change in reconstruction, 6 had a ‘good’ SPY result, 10 ‘questionable’, 25 ‘bad’, and 2 ‘had areas excised’ (p<0.01). After multivariable analysis, predictors of skin necrosis included patients with ‘questionable’ SPY results (p<0.01, OR: 8.1, 95%CI: 2.06 – 32.2) and smokers (p<0.01, OR:5.7, 95%CI: 1.5 – 21.2). Predictors of any complication included a change in reconstruction (p<0.05, OR:4.5, 95%CI: 1.4-14.9) and ‘questionable’ SPY result (p<0.01, OR: 4.4, 95%CI: 1.6-14.9). Conclusion: SPY angiography results strongly influence intraoperative surgical decisions regarding the type of reconstruction performed. Patients most at risk for flap necrosis and complication post-mastectomy are those with questionable SPY results.

scholarly journals COVID-19 Preventive Behaviours in Cameroon: A Six-Month Online National Survey

2021 ◽  
Vol 18 (5) ◽  
pp. 2554
Author(s):  
Joseph Nelson Siewe Fodjo ◽  
Leonard Ngarka ◽  
Wepnyu Y. Njamnshi ◽  
Leonard N. Nfor ◽  
Michel K. Mengnjo ◽  
...  
Keyword(s):  
Regression Models ◽  
Health Personnel ◽  
Online Survey ◽  
Preventive Measures ◽  
Face Mask ◽  
Logistic Regression Models ◽  
Adherence Score ◽  
Preventive Behaviour ◽  
Predictors Of Adherence

Since March 2020, the Cameroonian government implemented nationwide measures to stall COVID-19 transmission. However, little is known about how well these unprecedented measures are being observed as the pandemic evolves. We conducted a six-month online survey to assess the preventive behaviour of Cameroonian adults during the COVID-19 outbreak. A five-point adherence score was constructed based on self-reported observance of the following preventive measures: physical distancing, face mask use, hand hygiene, not touching one’s face, and covering the mouth when coughing or sneezing. Predictors of adherence were investigated using ordinal logistic regression models. Of the 7381 responses received from all ten regions, 73.3% were from male respondents and overall mean age was 32.8 ± 10.8 years. Overall mean adherence score was 3.96 ± 1.11 on a scale of 0–5. Mean weekly adherence scores were initially high, but gradually decreased over time accompanied by increasing incidence of COVID-19 during the last study weeks. Predictors for higher adherence included higher age, receiving COVID-19 information from health personnel, and agreeing with the necessity of lockdown measures. Meanwhile, experiencing flu-like symptoms was associated with poor adherence. Continuous observance of preventive measures should be encouraged among Cameroonians in the medium- to long-term to avoid a resurgence in COVID-19 infections.

scholarly journals Behavioral and Attitudinal Correlates of Trusted Sources of COVID-19 Vaccine Information in the US

2021 ◽  
Vol 11 (4) ◽  
pp. 56
Author(s):  
Carl A. Latkin ◽  
Lauren Dayton ◽  
Jacob R. Miller ◽  
Grace Yi ◽  
Afareen Jaleel ◽  
...  
Keyword(s):  
Regression Models ◽  
Logistic Regression Models ◽  
The Public ◽  
Public Health Systems ◽  
Online Study ◽  
News Sources ◽  
The Us ◽  
Vulnerable People ◽  
Two Factors ◽  
Vaccine Information

There is a critical need for the public to have trusted sources of vaccine information. A longitudinal online study assessed trust in COVID-19 vaccine information from 10 sources. A factor analysis for data reduction revealed two factors. The first factor contained politically conservative sources (PCS) of information. The second factor included eight news sources representing mainstream sources (MS). Multivariable logistic regression models were used. Trust in Dr. Fauci was also examined. High trust in MS was associated with intention to encourage family members to get COVID-19 vaccines, altruistic beliefs that more vulnerable people should have vaccine priority, and belief that racial minorities with higher rates of COVID-19 deaths should have priority. High trust in PCS was associated with intention to discourage friends from getting vaccinated. Higher trust in PCS was also associated with participants more likely to disagree that minorities with higher rates of COVID-19 deaths should have priority for a vaccine. High trust in Dr. Fauci as a source of COVID-19 vaccine information was associated with factors similar to high trust in MS. Fair, equitable, and transparent access and distribution are essential to ensure trust in public health systems’ abilities to serve the population.

Sign in / Sign up

Export Citation Format

Share Document