scholarly journals A Predictive Study of Resilience and Its Relationship with Academic and Work Dimensions during the COVID-19 Pandemic

2020 ◽  
Vol 9 (10) ◽  
pp. 3258 ◽  
Author(s):  
Silvia San Román-Mata ◽  
Félix Zurita-Ortega ◽  
Pilar Puertas-Molero ◽  
Georgian Badicu ◽  
Gabriel González-Valero
Keyword(s):  
Ad Hoc ◽  
Emergency Services ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Academic Variables ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Academic Level ◽  
Resilience Scale ◽  
Professional Occupation

Background: The aim of the present study was to describe the resilience levels in a Spanish population during the Coronavirus (COVID-19) pandemic and to analyze the existing associations between high resilience and socio-demographic, work, and academic parameters. Method: 1176 individuals aged 18–67 years participated in a descriptive cross-sectional study. The participants were administered the 10-item resilience scale developed by Connor-Davidson (CD-RISC-10) and an ad-hoc questionnaire that collected information on socio-demographic, work, and academic variables. Basic descriptive data were used to statistically analyze the data, and a binary logistic regression model was developed incorporating the professional occupation, academic level, whether the respondent worked in emergency services, and whether the respondent had dependents. Results: Slightly more than a quarter of the participants showed low resilience, almost half reported moderate resilience, and slightly more than a quarter had high resilience. Those who were employed were 2.16-times more likely to have high resilience, whilst those with higher education were 1.57-times more likely. Those working in emergency services were 1.66-times more likely, and those with dependents were 1.58-times more likely to have high resilience. Conclusion: In addition to the relationships found, a need to improve the resilience levels in the population was found.

What Makes a Tweet Fly? Analysis of Twitter Messaging at Four Infection Control Conferences

2017 ◽  
Vol 38 (11) ◽  
pp. 1271-1276 ◽  
Author(s):  
Brett G. Mitchell ◽  
Philip L. Russo ◽  
Jonathan A. Otter ◽  
Martin A. Kiernan ◽  
Landon Aveling
Keyword(s):  
Network Analysis ◽  
Infection Control ◽  
Infection Prevention ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Infection Prevention And Control ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Activity Networks ◽  
The Uk

OBJECTIVETo examine tweeting activity, networks, and common topics mentioned on Twitter at 4 international infection control and infectious disease conferences.DESIGNA cross-sectional study.METHODSAn independent company was commissioned to undertake a Twitter ‘trawl’ each month between July 1, 2016, and November 31, 2016. The trawl identified any tweets that contained the official hashtags of the conferences for (1) the UK Infection Prevention Society, (2) IDWeek 2016, (3) the Federation of Infectious Society/Hospital Infection Society, and (4) the Australasian College for Infection Prevention and Control. Topics from each tweet were identified, and an examination of the frequency and timing of tweets was performed. A social network analysis was performed to illustrate connections between users. A multivariate binary logistic regression model was developed to explore the predictors of ‘retweets.’RESULTSIn total, 23,718 tweets were identified as using 1 of the 2 hashtags of interest. The results demonstrated that the most tweets were posted during the conferences. Network analysis demonstrated a diversity of twitter networks. A link to a web address was a significant predictor of whether a tweet would be retweeted (odds ratio [OR], 2.0; 95% confidence interval [CI], 1.9–2.1). Other significant factors predicting a retweet included tweeting on topics such as Clostridium difficile (OR, 2.0; 95% CI, 1.7–2.4) and the media (OR, 1.8; 95% CI, 1.6–2.0). Tweets that contained a picture were significantly less likely to be retweeted (OR, 0.06; 95% CI, 0.05–0.08).CONCLUSIONTwitter is a useful tool for information sharing and networking at infection control conferences.Infect Control Hosp Epidemiol 2017;38:1271–1276

scholarly journals Association between Free Sugars Intake and Excessive Daytime Sleepiness among Chinese Adolescents

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 3959
Author(s):  
Yue Xi ◽  
Qian Lin ◽  
Qiping Yang ◽  
Fang Li ◽  
Hanmei Liu ◽  
...  
Keyword(s):  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Chinese Adolescents ◽  
Binary Logistic Regression Model ◽  
School Students ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Free Sugars

This study aimed to investigate the prevalence of excessive daytime sleepiness (EDS) and explore the association between free sugars intake and EDS. In this cross-sectional study, a total of 1517 middle school students (808 boys and 707 girls) aged 12~14 years were recruited. The study was conducted in Changsha city, China. Adolescents completed an online questionnaire, including the Epworth Sleepiness Scale (ESS), sleep characteristics, a 12-item Food Frequency Questionnaire (FFQ), and other self-reported information. The ESS score ≥ ten was defined as EDS. The anthropometric indices, including height, weight, and waist circumference, were measured and recorded by uniformly trained assistants. Statistical analyses included the Chi-square test and binary logistic regression model. The mean ESS score and free sugars consumption were 6.8 ± 3.9 points and 53.1 ± 44.7 g/d, respectively. The prevalence of EDS among adolescents was 22.5%, and more girls than boys had EDS (26.1% vs. 19.4%, p < 0.05). An exceeded free sugars intake was positively associated with EDS, with the adjusted Odds Ratio (OR) with its 95% Confident Interval (95% CI) of 1.366 (1.060~1.761, p < 0.05). EDS and excessive consumption of free sugars are commonly found among Chinese adolescents. Further studies are needed to confirm whether free sugars restriction can be meaningful to improve daytime drowsiness in those with EDS.

scholarly journals The Practices of Anaesthesiologists in the Management of Patients with Sickle Cell Disease: Empirical Evidence from Cameroon

Healthcare ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1617
Author(s):  
Dominique Djomo Tamchom ◽  
Aristide Kuitchet ◽  
Raymond Ndikontar ◽  
Serge Nga Nomo ◽  
Hermine Fouda ◽  
...  
Keyword(s):  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Perioperative Management ◽  
Treatment Guideline ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Cell Disease ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Elective Surgical Procedures

Patients with sickle cell disease are more likely to undergo surgery during their lifetime, especially given the numerous complications they may develop. There is a paucity of data concerning the management of patients with sickle cell disease by anaesthesiologists, especially in Africa. This study aimed to describe the practices of anaesthesiologists in Cameroon concerning the perioperative management of patients with sickle cell disease. A cross-sectional study was carried out over four months and involved 35 out 47 anaesthesiologists working in hospitals across the country, who were invited to fill a data collection form after giving their informed consent. The data were analysed using descriptive statistics and a binary logistic regression model. Among the 35 anaesthesiologists included in the study, most (29 (82.9%)) had managed patients with sickle cell disease for both emergency and elective surgical procedures. Most of them had never asked for a haematology consultation before surgery. Most participants (26 (74.3%)) admitted to having carried out simple blood transfusions, while 4 (11.4%) carried out exchange transfusions. The haemoglobin thresholds for transfusion varied from one practitioner to another, between < 6 g/dl and < 9 g/dl. Only 6 (17.1%) anaesthesiologists had a treatment guideline for the management of patients with sickle cell disease in the hospitals where they practiced. Only 9 (25.7%) prescribed a search for irregular agglutinins. The percentage of haemoglobin S before surgery was always available for 5 (14.3%) of the participants. The coefficient (0.06) of the occurrence of a haematology consultation before surgery had a significant influence on the probability of management of post-operative complications (coefficient 0.06, 10% level of probability). This study highlights the fact that practices in the perioperative management of patients with sickle cell disease in Cameroon vary greatly from one anaesthesiologist to another. We disclosed major differences in the current recommendations, which support the fact that even in Sub-Saharan countries, guidelines applicable to the local settings should be published.

scholarly journals A predictive model for early diagnosis of keratoconus

2020 ◽  
Author(s):  
GRACIA CASTRO-LUNA ◽  
ANTONIO PÉREZ-RUEDA
Keyword(s):  
Logistic Regression ◽  
Predictive Model ◽  
Early Stage ◽  
Corneal Thickness ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Bivariate Analysis ◽  
Diagnostic Model ◽  
Binary Logistic Regression Model ◽  
Cross Sectional

Abstract Background: The diagnosis of keratoconus in the early stages of the disease is necessary to initiate an early treatment of keratoconus. Furthermore, to avoid possible refractive surgery that could produce ectasias. This study aims to describe the topographic, pachymetric and aberrometry characteristics in patients with keratoconus, subclinical keratoconus and normal corneas. Additionally to propose a diagnostic model of subclinical keratoconus based in binary logistic regression models Methods: The design was a cross-sectional study. It included 205 eyes from 205 patients distributed in 82 normal corneas, 40 early-stage keratoconus and 83 established keratoconus. The rotary Scheimpflug camera (Pentacam® type) analyzed the topographic, pachymetric and aberrometry variables. It performed a descriptive and bivariate analysis of the recorded data. A diagnostic and predictive model of early-stage keratoconus was calculated with the statistically significant variables Results: Statistically significant differences were observed when comparing normal corneas with early-stage keratoconus/ in variables of the vertical asymmetry to 90º and the central corneal thickness. The binary logistic regression model included the minimal corneal thickness, the anterior coma to 90º and posterior coma to 90º. The model properly diagnosed 92% of cases with a sensitivity of 97.59%, specificity 98.78%, accuracy 98.18% and precision 98.78%Conclusions: The differential diagnosis between normal cases and subclinical keratoconus depends on the mínimum corneal thickness, the anterior coma to 90º and the posterior coma to 90º.

scholarly journals A model of visual limitation in patients with keratoconus

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Antonio Pérez-Rueda ◽  
Gracia Castro-Luna
Keyword(s):  
Visual Acuity ◽  
Logistic Regression ◽  
Operating Characteristic ◽  
Spherical Aberration ◽  
Area Under The Curve ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Corrected Visual Acuity

Abstract This paper aims to calculate a relevance model of visual limitation (V.L.) in keratoconus patients based on refractive and topographic parameters. A cross-sectional study was carried out in Torrecárdenas Hospital, Almería, Spain, between February 2018 and July 2019. It included 250 keratoconus patients. Two groups were created according to a grading system of V.L. based on RETICS (Red Temática de Investigación Cooperativa en Salud) classification: keratoconus patients with no V.L. (best spectacle-corrected visual acuity (BSCVA) ≤ 0.05 logMAR) and keratoconus patients with V.L. (BSCVA > 0.05 logMAR). Correlations and a binary logistic regression were established. V.L. was correlated with maximum curvature (r = 0.649, p < 0.001) and root mean square higher-order aberrations (HOARMS) (r = 0.625, p < 0.001). Binary logistic regression included V.L. as the dependent variable and spherical equivalent, HOARMS, spherical aberration and interaction between the anterior and posterior vertical coma as independent variables. The model was a good fit. Area under the curve (A.U.C.) of receiver operating characteristic (R.O.C.) curve was 0.924, sensitivity 91.90%, specificity 83.60%, accuracy 88.94%; and precision 91.17%. Binary logistic regression model of V.L. is a good fit model to predict the early loss of visual acuity in keratoconus patients.

scholarly journals Exercise-induced albuminuria is related to metabolic syndrome

2016 ◽  
Vol 310 (11) ◽  
pp. F1192-F1196 ◽  
Author(s):  
Sharon Greenberg ◽  
Shani Shenhar-Tsarfaty ◽  
Ori Rogowski ◽  
Itzhak Shapira ◽  
David Zeltser ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Urinary Albumin ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Metabolic Equivalents ◽  
Before And After ◽  
Study Population ◽  
Exercise Induced

Microalbuminuria (MA) is a known marker for endothelial dysfunction and future cardiovascular events. Exercise-induced albuminuria (EiA) may precede the appearance of MA. Associations between EiA and metabolic syndrome (MS) have not been assessed so far. Our aim was to investigate this association in a large sample of apparently healthy individuals with no baseline albuminuria. This was a cross-sectional study of 2,027 adults with no overt cardiovascular diseases who took part in a health survey program and had no baseline MA. Diagnosis of MS was based on harmonized criteria. All patients underwent an exercise test (Bruce protocol), and urinary albumin was measured before and after the examination. Urinary albumin-to-creatinine ratio (ACR) values before and after exercise were 0.40 (0.21–0.89) and 1.06 (0.43–2.69) mg/g for median (interquartile range) respectively. A total of 394 (20%) subjects had EiA; ACR rose from normal rest values (0.79 mg/g) to 52.28 mg/g after exercise ( P < 0.001); this effect was not shown for the rest of the study population. EiA was related to higher prevalence of MS (13.8% vs. 27.1%, P < 0.001), higher metabolic equivalents ( P < 0.001), higher baseline blood pressure ( P < 0.001), and higher levels of fasting plasma glucose, triglycerides, and body mass index ( P < 0.001). Multivariate binary logistic regression model showed that subjects with MS were 98% more likely to have EiA (95% confidence interval: 1.13–3.46, P = 0.016). In conclusion, EiA in the absence of baseline MA is independently related to MS.

scholarly journals A predictive model for early diagnosis of keratoconus

2020 ◽  
Author(s):  
GRACIA CASTRO-LUNA ◽  
ANTONIO PÉREZ-RUEDA
Keyword(s):  
Logistic Regression ◽  
Predictive Model ◽  
Corneal Thickness ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Bivariate Analysis ◽  
Diagnostic Model ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Logistic Regression Models

Abstract Background: The diagnosis of keratoconus in the early stages of the disease is necessary to initiate an early treatment of keratoconus. Furthermore to avoid possible refractive surgery that could produce ectasias. This study aims to describe the topographic, pachymetric and aberrometry characteristics in patients with keratoconus, subclinical keratoconus and normal corneas. Additionally to propose a diagnostic model of subclinical keratoconus based in binary logistic regression models Methods: The design was a cross-sectional study. It included 205 eyes from 205 patients distributed in 82 normal corneas, 40 subclinical keratoconus and 83 established keratoconus The rotary Scheimpflug camera (Pentacam® type) analyzed the topographic, pachymetric and aberrometry variables. It performed a descriptive and bivariate analysis of the recorded data. A diagnostic and predictive model of subclinical keratoconus was calculated with the statistically significant variables Results: Statistically significant differences were observed when comparing normal corneas with subclinical keratoconus/ in variables of the vertical asymmetry to 90º and the central corneal thickness. The binary logistic regression model included the minimal corneal thickness, the anterior coma to 90º and posterior coma to 90º. The model properly diagnosed 92% of cases Conclusions: The differential diagnosis between normal cases and subclinical keratoconus depends on the mínimum corneal thickness, the anterior coma to 90º and the posterior coma to 90º.

scholarly journals Prevalence and Risk Factors of Microalbuminuria in Nondiabetic Hypertensive Patients

2014 ◽  
Vol 3 (2) ◽  
pp. 15-22
Author(s):  
Amdadul Haque ◽  
Mahmud Javed Hasan ◽  
Md Asaduzzaman Raja ◽  
Md Aminul Islam
Keyword(s):  
Laboratory Data ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Cross Sectional ◽  
Hypertensive Patients ◽  
Medical College ◽  
Low Hdl ◽  
History Of

The aim of this study to determine the prevalence of microalbuminuria as well as associated factors in non-diabetic hypertensive patients. Hospital-based cross sectional study. Main outcome of measure is microalbuminuria. A total of 100 nondiabetic hypertensive patients age 18 years without a history of pre-existing kidney disease attending the outpatient department of Community Based Medical College Bangladesh, Mymensingh over a period 6 months from June to December 2014 and who consented and met the criteria were enrolled in this study. A questionnaire including clinical and laboratory data was completed for all cases. The survey data were checked, coded and entered into a SPSS statistical package (Version 11.5). All variables were tested for normal distribution of the data. The data were then cleaned and analyzed using Chi-square (x2) Test, One-Way ANOVA statistics and Binary logistic regression model. Results were considered statistically significant for two-sided P values of <0.05. The overall prevalence of microalbuminuria was 17% of patients (11(64.7%) were male and 6(35.3%) female). The mean age and BMI were 49.2±9.1 years and 23.5±3.8 kg/m2 respectively. There were only 2(2%) patients whose systolic BP and diastolic BP were both well controlled (<140/˂90 mmHg), while normalization rates of either systolic BP (<140 mmHg) or diastolic BP (<90 mmHg) were 10% and 26% respectively. Age 50 years, low HDL, duration of HTN and triglyceride >150 mg/dl were found independent predictors of elevated UAE with ORs being 0.18, 3.9, 0.13 and 0.49 respectively. Microalbuminuria was not uncommon in non-diabetic hypertensive patients and older age, low HDL, high LDL, raised triglyceride and duration of HTN were significant predictors of microalbuminuria. There is an urgent need to screening of microalbuminuria should be mainstreamed into routine investigation and follow-up of patients with HBP. CBMJ 2014 July: Vol. 03 No. 02 P: 15-22

scholarly journals Prevalence and associated factors of needle stick and sharps injuries among healthcare workers in northwestern Ethiopia

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0252039
Author(s):  
Zemene Berhan ◽  
Asmamaw Malede ◽  
Adinew Gizeyatu ◽  
Tadesse Sisay ◽  
Mistir Lingerew ◽  
...  
Keyword(s):  
Healthcare Workers ◽  
Multivariable Analysis ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Sampling Frame ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Needle Stick ◽  
Study Participants ◽  
Sharps Injuries

Background Needle stick and sharp injuries (NSSIs) are a common problem among healthcare workers (HCWs). Although the factors related to NSSIs for HCWs are well documented by several studies in Ethiopia, no evidence has been reported about the magnitude of and factors related to NSSIs in hospitals in northwestern Ethiopia. Methods An institution-based cross-sectional study was carried out from January to March 2019 among 318 HCWs in three randomly-selected hospitals of the eight hospitals found in South Gondar Zone. Sample sizes were proportionally allocated to professional categories. Study participants were selected by systematic random sampling methods using the monthly salary payroll for each profession as the sampling frame. Data were collected using a self-administered questionnaire. The outcome of this study was the presence (injured) or absence of NSSIs during the 12 months prior to data collection. A binary logistic regression model with 95% confidence interval (CI) was used for data analysis. Variables from the bi-variable analysis with a p-value ≤ 0.25 were retained into the multivariable analysis. From the multivariable analysis, variables with a p-value less than 0.05 was declared as factors significantly associated with NSSIs. Main findings The prevalence of NSSIs was 29.5% (95% CI: 24.2–35.5%) during the 12 months prior to the survey. Of these, 46.0% reported that their injuries were moderate, superficial (33.3%) or severe (20.7%). About 41.4% of the injuries were caused by a suture needle. Factors significantly associated with NSSIs were occupation as a nurse (adjusted odds ratio [AOR] = 2.65, 95% CI: 1.18–4.26), disposal of sharp materials in places other than in safety boxes (AOR = 3.93, 95% CI: 2.10–5.35), recapping of needles (AOR = 2.27, 95% CI: 1.13–4.56), and feeling sleepy at work (AOR = 2.24, 95% CI: 1.14–4.41). Conclusion This study showed that almost one-third of HCWs had sustained NSSIs, a proportion that is high. Factors significantly associated with NSSIs were occupation as a nurse, habit of needle recapping, disposal of sharp materials in places other than in safety boxes and feeling sleepy at work. Observing proper and regular universal precautions for nurses during daily clinical activities and providing safety boxes for the disposal of sharp materials, practicing mechanical needle recapping and preventing sleepiness by reducing work overload among HCWs may reduce the incidence of NSSIs.

scholarly journals Prevalence of cigarette smoking and its predictors among school going adolescents of North India

2014 ◽  
Vol 03 (04) ◽  
pp. 193-195 ◽  
Author(s):  
Durgesh Thakur ◽  
Anmol Gupta ◽  
Anita Thakur ◽  
Salig Ram Mazta ◽  
Deepak Sharma
Keyword(s):  
Cigarette Smoking ◽  
Smoking Behavior ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Free Time ◽  
North India ◽  
Binary Logistic Regression Model ◽  
Current Cigarette Smoking ◽  
Cross Sectional ◽  
Current Cigarette

Abstract Background: Cigarettes smoking is a common mode of consuming tobacco in India. This habit usually starts in adolescence and tracks across the life course. Interventions like building decision making skills and resisting negative influences are effective in reducing the initiation and level of tobacco use. Aims and Objectives: The purpose of this study was to assess the prevalence of adolescent current cigarette smoking behavior and to investigate the individual and social factors, which influence them both to and not to smoke. Methodology: A cross-sectional study was carried out among school going adolescents in Shimla town of North India. After obtaining their written informed consent, a questionnaire was administered. Results: The overall prevalence of current cigarette smoking was 11.8%. The binary logistic regression model revealed that parents′ and peers′ smoking behavior influence adolescent smoking behavior. Individual self-harm tendency also significantly predicted cigarette smoking behavior. Parental active participation in keeping a track of their children′s free time activities predicted to protect adolescents from taking this habit. Conclusion: Our research lends support to the need for intervention on restricting adolescents from taking up this habit and becoming another tobacco industries′ addicted customer. Parents who smoke should quit this habit, which will not only restore their own health, but also protect their children. All parents should be counseled to carefully observe their children′s free time activities.

Sign in / Sign up

Export Citation Format

Share Document