scholarly journals COVID-19 Misinformation in Portuguese-Speaking Countries: Agreement with Content and Associated Factors

2021 ◽  
Vol 14 (1) ◽  
pp. 235
Author(s):  
Álvaro Francisco Lopes de Sousa ◽  
Guilherme Schneider ◽  
Herica Emilia Félix de Carvalho ◽  
Layze Braz de Oliveira ◽  
Shirley Verônica Melo Almeida Lima ◽  
...  
Keyword(s):  
Poisson Regression ◽  
Associated Factors ◽  
Online Survey ◽  
Religious Affiliation ◽  
Link Function ◽  
Complex Phenomenon ◽  
Poisson Regression Model ◽  
Robust Variance ◽  
High Prevalence ◽  
Two Stages

In the wake of the COVID-19 pandemic, a complex phenomenon called the “infodemic” has emerged, compromising coping with the pandemic. This study aims to estimate the prevalence of agreement with misinformation about COVID-19 and to identify associated factors. A web survey was carried out in Portuguese-speaking countries in two stages: 1. the identification of misinformation circulating in the included countries; 2. a multicentric online survey with residents of the included countries. The outcome of the study was agreement or disagreement with misinformation about COVID-19. Multivariate analyzes were conducted using the Poisson regression model with robust variance, a logarithmic link function, and 95% confidence intervals. The prevalence of agreement with misinformation about COVID-19 was 63.9%. The following factors increased the prevalence of this outcome: having a religious affiliation (aPR: 1454, 95% CI: 1393–1517), having restrictions on leisure (aPR: 1230, 95% CI: 1127–1342), practicing social isolation (aPR: 1073, 95% CI: 1030–1118), not avoiding agglomeration (aPR: 1060, 95% CI: 1005–1117), not seeking/receiving news from scientific sources (aPR: 1153, 95% CI: 1068–1245), seeking/receiving news from three or more non-scientific sources (aPR: 1114, 95% CI: 1049–1182), and giving credibility to news carried by people from social networks (aPR: 1175, 95% CI: 1104–1251). There was a high prevalence of agreement with misinformation about COVID-19. The quality, similarity, uniformity, and acceptance of the contents indicate a concentration of themes that reflect “homemade”, simple, and easy methods to avoid infection by SARS-CoV-2, compromising decision-making and ability to cope with the disease.

scholarly journals Prevalence and Associated Factors for Frailty among Elder Patients in China: A multicenter cross-sectional study

2019 ◽  
Author(s):  
Jing Jiao ◽  
Yu Wang ◽  
Chen Zhu ◽  
Fangfang Li ◽  
Minglei Zhu ◽  
...  
Keyword(s):  
Regression Model ◽  
Poisson Regression ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Small Sample ◽  
Poisson Regression Model ◽  
Sectional Study ◽  
Cross Sectional ◽  
Mixed Effect ◽  
Elder Patients

Abstract Background: Up to date, most of previous studies of frailty among hospitalized elder Chinese patients were conducted based on a small sample, which could not represent the elder patient population. The aim of this study is to identify the prevalence and the risk factors for frailty among elder patients in China. Study Design and Setting: This is a cross-sectional study, 9996 elder patients from 6 tertiary level hospitals in China were surveyed. The prevalence of frailty among patients from selected wards was surveyed by trained investigators. Mixed-effect Poisson regression model were used to analyze the associated factors of frailty among elder patients. Results: The mean age of all subjects was72.47±5.77years. The prevalence rate of frailty in this study was 18.02%. After controlling the confounding effect of hospital wards clustering effect, Mixed-effect Poisson regression model showed that the associated factors of frailty included: age(OR:1.016, 95% CI:1.012 -1.020), patients with BMI < 18.5(OR: 1.248, 95% CI:1.171-1.330), female(OR:1.058, 95% CI:1.004 -1.115), ethnic minorities(OR: 1.152, 95% CI: 1.073-1.236), admission to hospital by the emergency department(OR: 1.104, 95% CI:1.030 -1.184),the former drinker(OR: 1.094, 95% CI:1.022 -1.171),fall history in past 12 month(OR:1.257, 95%CI:1.194-1.323),vision dysfunction(OR:1.144 , 95% CI:1.080 -1.211),cognition impairment(OR:1.182 , 95% CI:1.130 -1.237),sleeping dysfunction(OR:1.215, 95% CI:1.215 -1.318),urinary dysfunction(OR: 1.175, 95% CI:1.104 -1.251),defecation dysfunction(OR:1.286 , 95% CI:1.217 -1.358). Conclusion: We identified a relatively high prevalence of frailty among elder patients, and there are several associate factors among the population derived from an investigation of a large-scale, multicenter, nationwide representative Chinese elderly inpatient population. Trial registration: Chinese clinical Trial registry, ChiCTR1800017682, Registered 09 August 2018 Keywords: Frailty; Elder patients; Prevalence; Associate factors

scholarly journals Frailty profile in Brazilian older adults

2019 ◽  
Vol 52 (Suppl 2) ◽  
pp. 17s ◽  
Author(s):  
Juliana Mara Andrade ◽  
Yeda Aparecida De Oliveira Duarte ◽  
Luciana Correia Alves ◽  
Flávia Cristina Drumond Andrade ◽  
Paulo Roberto De Souza Junior ◽  
...  
Keyword(s):  
Older Adults ◽  
Poisson Regression ◽  
Daily Living ◽  
Associated Factors ◽  
Functional Limitation ◽  
Health Conditions ◽  
Baseline Survey ◽  
Poisson Regression Model ◽  
Factors Associated ◽  
Health Factors

OBJECTIVE: To estimate the prevalence of frailty and to evaluate the associated factors in the non-institutionalized Brazilian population aged 50 years or older. METHODS: The analyses were conducted in 8,556 participants of the baseline survey of the Longitudinal Study of Health of the Brazilian Elderly (ELSI-Brazil) conducted in 2015 and 2016. Frailty was defined based on five characteristics: weight loss, weakness, slowness, exhaustion and low level of physical activity. Participants with three or more characteristics were classified as frail. A Poisson regression model was used to examine the association between frailty and sociodemographic and health factors. RESULTS: The prevalence of frailty was 9.0% (95%CI 8.0–10.1) among participants aged 50 years or over. Among the older adults aged 60 or over, the prevalence was 13.5% (95%CI 11.9–15.3) and 16.2% (95%CI 14.3–18.3) among those 65 aged years or over. Factors associated with higher prevalence of frailty were low schooling, residence without a partner, health conditions (poor self-rated health and two or more chronic diseases) and limitation to perform basic activities of daily living. CONCLUSIONS: The prevalence of frailty among Brazilians aged 65 years or older is similar to their European counterparts. Poor health conditions, functional limitation and low schooling emerge as the factors most strongly associated with the frailty in this population.

Use of heated tobacco products where their use is prohibited

2021 ◽  
pp. tobaccocontrol-2020-056398
Author(s):  
Jung Ah Lee ◽  
Cheolmin Lee ◽  
Hong-Jun Cho
Keyword(s):  
Sex Ratio ◽  
Poisson Regression ◽  
Associated Factors ◽  
Online Survey ◽  
Positive Relationship ◽  
Electronic Cigarettes ◽  
Prevalence Ratio ◽  
Online Research ◽  
Tobacco Products ◽  
Research Company

IntroductionStealth use implies using tobacco products where their use is prohibited. This paper aimed to investigate stealth use of heated tobacco products (HTPs) in terms of its prevalence and associated factors.MethodsAn online survey was conducted to investigate the use of HTPs in 7000 randomly selected participants (2300 men and 4700 women, aged 20–69 years) from the database registered with an online-research company; we used a sex ratio of 1:2, considering a low female prevalence of tobacco use in Korea. Of total participants, 574 (8.2%) were current HTP users. Among them, we identified the participants who had practised HTPs stealth use, and evaluated associated factors using multivariable Poisson regression.ResultsA total of 574 participants were identified as current HTP users, and 455 (79.2%) reported stealth use of HTPs during the month before the survey. Stealth use was more frequent in dual cigarette users (HTPs and electronic cigarettes (ECs); adjusted prevalence ratio (aPR) 1.33, 95% CI 1.16 to 1.52) and triple users (HTPs, ECs and combustible cigarettes; aPR 1.18, 95% CI 1.04 to 1.33), as compared with single-HTP users. Stealth use was more prevalent among participants who agreed with allowing indoor HTP use (aPR 1.18, 95% CI 1.11 to 1.26).ConclusionStealth use was prevalent among current HTP users, especially among the poly-users of tobacco products. Considering the positive relationship between an agreement with allowing indoor use of HTPs and stealth use, a campaign to promote change in attitudes of HTP users about their indoor use may be warranted to protect non-users.

scholarly journals O4B.1 The impact of manual patient handling on work ability: a cross-sectional study

2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A34.1-A34
Author(s):  
Adriano Dias ◽  
João Marcos Bernardes
Keyword(s):  
Regression Model ◽  
Work Ability ◽  
Poisson Regression ◽  
Healthcare Workers ◽  
Cross Sectional Study ◽  
Poisson Regression Model ◽  
Sectional Study ◽  
Patient Handling ◽  
Cross Sectional ◽  
Robust Variance

This cross-sectional study investigated the level of work ability (WA) and its association with manual patient handling (MPH) in healthcare workers (HCW). Participants were HCWs working at the University Hospital of Botucatu Medical School, who were willing to participate and provided written informed consent. Of the 488 HCWs who were invited, 320 participated for a response rate of 65.6%. Sixteen participants (5%) were subsequently excluded from data analysis due to missing data. Data were collected using a self-administered anonymous paper questionnaire containing seven parts: manual patient handling, low back pain, demographic characteristics, occupational variables, psychosocial work conditions, lifestyle variables and work ability. Work ability was measured by the Brazilian version of the Work Ability Index (WAI). The association between WA and LBP was analyzed using a Poisson regression model. Initially, simple Poisson regression models with robust variance were conducted for each covariate. Those variables with a p value ≤ 0.25 were selected for inclusion in a multiple Poisson regression model with robust variance, and those with p<0.05 were considered statistically significant. Most respondents were female (83.6%), the mean age was 40.35 years (SD 9.74, range 22-66) and the average duration of employment was 10.67 years (SD 9.36, range 1-40). The WAI mean score was 38.03 points (SD 6.15, 95% CI 37.33-38.72), and the prevalence of adequate WA (equal to or above 37 points) was 56.58%. In the multiple Poisson regression model, MPH (PR 1.375, 95% CI 1.038-1.821) was significantly associated with WA, even when adjusted for the covariates. Thus, hospital managers should plan and implement interventions to maintain healthcare workers’ work ability, and these interventions should include the limitation of manual patient handling activities.

scholarly journals Tooth loss and associated factors in adolescents – impact of extractions for orthodontic reason.

2018 ◽  
Vol 17 ◽  
pp. 1-12
Author(s):  
Paulo Roberto Grafitti Colussi ◽  
Fernando Neves Hugo ◽  
Francisco Wilker Mustafa Gomes Muniz ◽  
Cassiano Kuchenbecker Rösing
Keyword(s):  
Public Schools ◽  
Poisson Regression ◽  
Associated Factors ◽  
Tooth Loss ◽  
Cross Sectional Study ◽  
Analytical Models ◽  
Sectional Study ◽  
Cross Sectional ◽  
Public And Private ◽  
Robust Variance

Aim: To investigate tooth loss and its determinants in adolescents, considering the effect of extractions due to orthodontics reasons. Methods: This cross-sectional study was performed in students from public and private schools aged 15-19 years old from Passo Fundo, Brazil. The proportional randomly chosen sample included 736 adolescents. Clinical examinations and interviews were performed. Associations between prevalence of tooth loss and exposure variables studied were analysed by Poisson Regression with uni- and multivariate robust variance in two models. One model comprised students who had experienced tooth loss without orthodontic reasons and the other with all of the subjects presenting tooth loss. Results: Prevalence of tooth loss was 21.1% (mean of 0.42). Higher chances for tooth loss were found in the following features:  non-whites (PR=1.72; CI95%:1.15-2.60), poorly schooling mothers (PR=2.2; CI95%:0.96-5.02), from public schools (PR=4.16; CI95%:0.98-17.59), smokers (PR=1.91; CI95%:1.15-3.17). Conclusion: Demographic, socioeconomic and behavioural conditions were strongly associated with tooth loss. These associations were more evident when extractions for orthodontic reasons were not included in the analytical models.

scholarly journals Prevalence and Associated Factors for Frailty among Elder Patients in China: A multicenter cross-sectional study

2020 ◽  
Author(s):  
Jing Jiao ◽  
Yu Wang ◽  
Chen Zhu ◽  
Fangfang Li ◽  
Minglei Zhu ◽  
...  
Keyword(s):  
Regression Model ◽  
Poisson Regression ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Small Sample ◽  
Poisson Regression Model ◽  
Sectional Study ◽  
Cross Sectional ◽  
Mixed Effect ◽  
Elder Patients

Abstract Background: Up to date, most of previous studies of frailty among hospitalized elder Chinese patients were conducted based on a small sample, which could not represent the elder patient population. The aim of this study is to identify the prevalence and the risk factors for frailty among elder patients in China. Study Design and Setting: This is a cross-sectional study, 9996 elder patients from 6 tertiary level hospitals in China were surveyed. The prevalence of frailty among patients from selected wards was surveyed by trained investigators. Mixed-effect Poisson regression model were used to analyze the associated factors of frailty among elder patients. Results: The mean age of all subjects was72.47±5.77years. The prevalence rate of frailty in this study was 18.02%. After controlling the confounding effect of hospital wards clustering effect, Mixed-effect Poisson regression model showed that the associated factors of frailty included: age(OR:1.016, 95% CI:1.012 -1.020), patients with BMI < 18.5(OR: 1.248, 95% CI:1.171-1.330), female(OR:1.058, 95% CI:1.004 -1.115), ethnic minorities(OR: 1.152, 95% CI: 1.073-1.236), admission to hospital by the emergency department(OR: 1.104, 95% CI:1.030 -1.184),the former drinker(OR: 1.094, 95% CI:1.022 -1.171),fall history in past 12 month(OR:1.257, 95%CI:1.194-1.323),vision dysfunction(OR:1.144 , 95% CI:1.080 -1.211),cognition impairment(OR:1.182 , 95% CI:1.130 -1.237),sleeping dysfunction(OR:1.215, 95% CI:1.215 -1.318),urinary dysfunction(OR: 1.175, 95% CI:1.104 -1.251),defecation dysfunction(OR:1.286 , 95% CI:1.217 -1.358). Conclusion: We identified a relatively high prevalence of frailty among elder patients, and there are several associate factors among the population derived from an investigation of a large-scale, multicenter, nationwide representative Chinese elderly inpatient population. Trial registration: Chinese clinical Trial registry, ChiCTR1800017682, Registered 09 August 2018 Keywords: Frailty; Elder patients; Prevalence; Associate factors

scholarly journals Prevalence and Associated Factors for Frailty among Elder Patients in China: A multicenter cross-sectional study

2020 ◽  
Author(s):  
Jing Jiao ◽  
Yu Wang ◽  
Chen Zhu ◽  
Fangfang Li ◽  
Minglei Zhu ◽  
...  
Keyword(s):  
Regression Model ◽  
Poisson Regression ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Small Sample ◽  
Poisson Regression Model ◽  
Sectional Study ◽  
Cross Sectional ◽  
Mixed Effect ◽  
Elder Patients

Abstract Background: Up to date, most of previous studies of frailty among hospitalized elder Chinese patients were conducted based on a small sample, which could not represent the elder patient population. The aim of this study is to identify the prevalence and the risk factors for frailty among elder patients in China. Study Design and Setting: This is a cross-sectional study, 9996 elder patients from 6 tertiary level hospitals in China were surveyed. The prevalence of frailty among patients from selected wards was surveyed by trained investigators. Mixed-effect Poisson regression model were used to analyze the associated factors of frailty among elder patients. Results: The mean age of all subjects was72.47±5.77years. The prevalence rate of frailty in this study was 18.02%. After controlling the confounding effect of hospital wards clustering effect, Mixed-effect Poisson regression model showed that the associated factors of frailty included: age(OR:1.016, 95% CI:1.012 -1.020), patients with BMI < 18.5(OR: 1.248, 95% CI:1.171-1.330), female(OR:1.058, 95% CI:1.004 -1.115), ethnic minorities(OR: 1.152, 95% CI: 1.073-1.236), admission to hospital by the emergency department(OR: 1.104, 95% CI:1.030 -1.184),the former drinker(OR: 1.094, 95% CI:1.022 -1.171),fall history in past 12 month(OR:1.257, 95%CI:1.194-1.323),vision dysfunction(OR:1.144 , 95% CI:1.080 -1.211),cognition impairment(OR:1.182 , 95% CI:1.130 -1.237),sleeping dysfunction(OR:1.215, 95% CI:1.215 -1.318),urinary dysfunction(OR: 1.175, 95% CI:1.104 -1.251),defecation dysfunction(OR:1.286 , 95% CI:1.217 -1.358). Conclusion: We identified a relatively high prevalence of frailty among elder patients, and there are several associate factors among the population derived from an investigation of a large-scale, multicenter, nationwide representative Chinese elderly inpatient population. Trial registration: Chinese clinical Trial registry, ChiCTR1800017682, Registered 09 August 2018 Keywords: Frailty; Elder patients; Prevalence; Associate factors

scholarly journals The effect of sociodemographic factors on COVID-19 incidence of 342 cities in China: a geographically weighted regression model analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Huihui Zhang ◽  
Yini Liu ◽  
Fangyao Chen ◽  
Baibing Mi ◽  
Lingxia Zeng ◽  
...  
Keyword(s):  
Regression Model ◽  
Poisson Regression ◽  
Linear Models ◽  
Intervention Strategy ◽  
Health Resources ◽  
Sociodemographic Factors ◽  
Information Criteria ◽  
Poisson Regression Model ◽  
Geographically Weighted Regression Model ◽  
Auto Correlation

Abstract Background Since December 2019, the coronavirus disease 2019 (COVID-19) has spread quickly among the population and brought a severe global impact. However, considerable geographical disparities in the distribution of COVID-19 incidence existed among different cities. In this study, we aimed to explore the effect of sociodemographic factors on COVID-19 incidence of 342 cities in China from a geographic perspective. Methods Official surveillance data about the COVID-19 and sociodemographic information in China’s 342 cities were collected. Local geographically weighted Poisson regression (GWPR) model and traditional generalized linear models (GLM) Poisson regression model were compared for optimal analysis. Results Compared to that of the GLM Poisson regression model, a significantly lower corrected Akaike Information Criteria (AICc) was reported in the GWPR model (61953.0 in GLM vs. 43218.9 in GWPR). Spatial auto-correlation of residuals was not found in the GWPR model (global Moran’s I = − 0.005, p = 0.468), inferring the capture of the spatial auto-correlation by the GWPR model. Cities with a higher gross domestic product (GDP), limited health resources, and shorter distance to Wuhan, were at a higher risk for COVID-19. Furthermore, with the exception of some southeastern cities, as population density increased, the incidence of COVID-19 decreased. Conclusions There are potential effects of the sociodemographic factors on the COVID-19 incidence. Moreover, our findings and methodology could guide other countries by helping them understand the local transmission of COVID-19 and developing a tailored country-specific intervention strategy.

scholarly journals Comparison of prevalence and risk factors of somatization between Chinese health care workers and non-health care workers during COVID-19 outbreak

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiuli Song ◽  
Yongjie Zhou ◽  
Wenwang Rao ◽  
Xiangyang Zhang
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Health Care Workers ◽  
Online Survey ◽  
Medical Service ◽  
Multiple Logistic Regression Analysis ◽  
Related Factors ◽  
Dimension Score ◽  
Care Workers ◽  
High Prevalence

Abstract Background This study aimed to compare prevalence and risk factors of somatization (SOM) between health care workers and non-health care workers during COVID-19 outbreak in China. Methods From 14 February to 29 March 2020, an online survey was performed in both 605 health care workers and 1151 non-health care workers. Based on the somatization dimension score of the Symptom Checklist-90, participants were divided into non-SOM group and SOM group. Results Health care workers had higher prevalence rate of SOM (p < 0.001) than non-health care workers, with an OR of 1.70 (95% CI, 1.22–2.36, p = 0.002). Multiple logistic regression analysis revealed that in non-health care workers, the risk factors of SOM included other ethnicities, insomnia, and suicide, while in health care workers, the risk factors included working 6–8 h per day, and working ≥10 h per day during COVID-19 outbreak. Conclusions Our research suggests that both non-health care workers and health care workers have a relatively high prevalence of somatization. However, the related factors for somatization in both groups are significantly different, showing that medical service-related factors are associated with somatization in health care workers, while demographic and clinical factors are associated with somatization in non-health care workers.

scholarly journals Mental health and preventive behaviour of pregnant women in China during the early phase of the COVID-19 period

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Qian Wang ◽  
Phoenix K. H. Mo ◽  
Bo Song ◽  
Jiang-Li Di ◽  
Feng-Rong Zhou ◽  
...  
Keyword(s):  
Mental Health ◽  
Pregnant Women ◽  
Social Factors ◽  
Early Phase ◽  
Associated Factors ◽  
Online Survey ◽  
Mental Health Problems ◽  
Face Mask ◽  
Depression And Anxiety ◽  
Regression Analyses

Abstract Background The COVID-19 has caused significant toll over the globe. Pregnant women are at risk of infection. The present study examined the frequency of washing hands with soap and wearing face mask when going out, prevalence of depression and anxiety, and identified their associated factors among pregnant women during the early phase of COVID-19 outbreak in China. Methods A cross-sectional online survey was conducted between 24 February and 3 March 2020. A total of 15 428 pregnant women who were using maternal health care services in China completed a questionnaire which assessed their socio-demographic and pregnancy-related characteristics, contextual, cognitive and social factors related to COVID-19, frequency of washing hands and wearing face masks, and depression and anxiety. Logistics regression analyses were performed to identify the associated factors of preventive behaviours and mental health. Results The prevalence of probable anxiety and depression was 28.2% and 43.6% respectively. 19.8% reported always wearing face mask when going out, and 19.1% reported washing hands with soap for more than 10 times per day. Results from logistic regression analyses showed that older age was associated with lower levels of depression and anxiety (OR = 0.42–0.67) and higher frequency of washing hands (OR = 1.57–3.40). Higher level of education level was associated with probable depression (OR = 1.31–1.45) and higher frequency of wearing face mask (OR = 1.50–1.57). After adjusting for significant socio-demographic and pregnancy-related factors, place of residence being locked down (aOR = 1.10–1.11), being quarantined (aOR = 1.42–1.57), personally knowing someone being infected with COVID-19 (aOR = 1.80–1.92), perception that COVID-19 would pose long term physical harm to human (aOR = 1.25–1.28) were associated with higher levels of depression and anxiety, while the perception that the disease will be under control in the coming month was associated with lower levels of depression and anxiety (aOR = 0.59–0.63) and lower tendency of always wearing face mask (aOR = 0.85). Social support was associated with lower levels of depression and anxiety (aOR = 0.86–0,87) and higher frequency of washing hands (aOR = 1.06). Conclusions The mental health and preventive behaviours of pregnant women during COVID-19 outbreak was associated with a range of socio-demographic, pregnancy-related, contextual, cognitive and social factors. Interventions to mitigate their mental health problems and to promote preventive behaviours are highly warranted.

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