A case control study to investigate risk factors associated with horse falls in steeplechase races at Cheltenham racetrack

2013 ◽  
Vol 9 (1) ◽  
pp. 59-64 ◽  
Author(s):  
J. M. Williams ◽  
F. Marks ◽  
F. Mata ◽  
T. Parkin
Keyword(s):  
Risk Factors ◽  
Fall Risk ◽  
Regression Models ◽  
Case Control Study ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Dependent Variables ◽  
Equine Welfare ◽  
Control Study ◽  
Relevant Factors

To date epidemiological reviews of fall risk in horse racing have applied a general approach to analysis integrating different grades, type of race and various racetracks. This study aimed to investigate if increasing specificity in analysis (one course and type of race) would expose the same risk factors for horse falls. The purpose of the study was to apply the principles of epidemiology to predict factors that increase the risk of a horse falling in steeplechase races at Cheltenham racecourse. Relevant factors related to horse falls were identified and collated from the Racing Post website for all steeplechase races run at Cheltenham between 1990 and 2010. Subsequent uni- and multivariable single-level and mixed effects logistic regression models were developed using ‘fall’ or ‘no fall’ as the dependent variables. The chance of a steeplechase race containing a minimum of one horse fall at Cheltenham racecourse is increased by 22% for each additional runner in the field and reduced by 86% for every horse that is pulled up during the race. Going and speed were not significantly associated with horse falls. Retrospective analysis of fall risk for a specific race type and course has exposed different risk factors than those previously found in generalised studies. Analysing specific racetracks has the potential to more effectively underpin the development and assessment of racecourse strategies to reduce fall risk to promote equine welfare.

scholarly journals A Case-Control Study of Factors Associated with SARS-CoV-2 Infection Among Healthcare Workers in Colombia.

2021 ◽  
Author(s):  
Merida Rodriguez-Lopez ◽  
Beatriz Parra ◽  
Enrique Vergara ◽  
Laura Rey ◽  
Mercedes Salcedo ◽  
...  
Keyword(s):  
Regression Models ◽  
Healthcare Workers ◽  
High Performance ◽  
Case Control Study ◽  
Case Control ◽  
Protective Equipment ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Polymerase Chain ◽  
Control Study

Abstract Background: Healthcare Workers (HCW) are repeatedly exposed to SARS-CoV-2 infection. The aim of this study was to identify factors associated with SARS-CoV-2 infection among HCW in one of the largest cities in Colombia. Methods: We conducted a case-control study, where cases had a positive reverse transcription-polymerase chain reaction and controls had a negative result. Participants were randomly selected and interviewed by phone. Analyses were performed using logistic regression models. Results: A total of 110 cases and 113 controls were included. Men (AdjOR 4.1 95%CI 1.7-10), Nurses (AdjOR 11.2 95%CI 1.1-119.6), not using a high-performance filtering mask (AdjOR 2.2 95%CI 1-5.1) and inadequate use of personal protective equipment (AdjOR 4.8 95%CI 1.1-19.6) were identified as risk factors. Conversely, graduate (AdjOR 0.1 95%CI 0.01-0.5) and postgraduate (AdjOR 0.05 95%CI 0.004-0.5) education, feeling scared or nervous (AdjOR 0.5 95%CI0.2-0.9), not wearing any of gloves, hat and googles/face shields (AdjOR 0.1 95%CI0.02-0.4), and the use of high-performance filtering or a combination of fabric plus surgical mask (AdjOR 0.2 95%CI 0.1-0.8) outside the workplace were protective factors. Conclusion: This study highlights the protection provided by high-performance filtering mask or double masking among HCW. Individual factors and the difficulties of wearing other protective equipment needs to be considered in designing, implementing and monitoring COVID-19 biosafety protocols for HCW.

scholarly journals Effects of sagging breasts and other risk factors associated with mastalgia: a case–control study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bülent Çomçalı ◽  
Servet Kocaoz ◽  
Buket Altun Özdemir ◽  
Ömer Parlak ◽  
Birol Korukluoğlu
Keyword(s):  
Risk Factors ◽  
Case Control Study ◽  
Coffee Consumption ◽  
Educational Status ◽  
Case Control ◽  
Tea Consumption ◽  
Drinking Alcohol ◽  
Factors Affecting ◽  
Factors Associated ◽  
Control Study

AbstractThe aim of this study is to compare patients with and without mastalgia and to analyze the factors affecting mastalgia and its severity. The patient’s age, height, weight, educational status, marital status, and occupation were recorded in all subjects. In addition, the women were asked about the presence of any risk factors for mastalgia, such as tea and coffee consumption, smoking, alcohol consumption, and weight gain. The sternal notch to nipple distance (SNND) was measured to determine whether there was breast sagging. Mastalgia was significantly more common in women with BMIs of > 30 kg/m2 (OR: 2.94, CI 1.65–5.24), those who were primary school graduates or illiterate (OR: 2.96, CI 1.6–5.46), and those with SNND values of 22–25 cm (OR: 2.94, CI 1.79–4.82). In these women, drinking more than 6 cups of tea a day (OR: 2.15, CI 1.32–3.5), smoking at least 10 cigarettes a day (OR: 2.94, CI 1.78–4.83), and drinking alcohol at least once a week (OR: 2.1, CI 1.12–3.91) were found to be important factors that increased the risk of mastalgia. As a result, it has been found that severe mastalgia complaints cause by obesity, sagging breasts, never giving birth, unemployment anxiety, regular smoking, alcohol use, and excessive tea consumption.

Risk Factors Associated With Dengue Fever Outbreak in Taiz Governorate, Yemen, 2018: Case-control Study

2021 ◽  
Author(s):  
Abdulkareem Ali Hussein Nassar ◽  
Amr Abdulaziz Torbosh ◽  
Yassin Abdulmalik Mahyoub ◽  
Mohammed Abdullah Al Amad
Keyword(s):  
Risk Factors ◽  
Dengue Fever ◽  
Case Control Study ◽  
Significant Risk ◽  
Case Fatality ◽  
Case Control ◽  
Case Definition ◽  
P Value ◽  
Factors Associated ◽  
Control Study

Abstract Background: Dengue Fever (DF) is a significant health problem in Yemen especially in the coastal areas. On November 6, 2018, Taiz governorates surveillance officer notified the Ministry of Public Health and Population on an increase in the number of suspected DF in Al Qahirah and Al Mudhaffar districts, Taiz governorate. On November 7, 2018, Field Epidemiology Training Program sent a team to perform an investigation. The aims were to confirm and describe the outbreak by person, place and time in Taiz governorate, and identify its risk factors.Methodology: Descriptive and case-control study (1:2 ratio) were conducted. WHO case definition was used to identify cases in Al Qahirah or Al Mudhaffar districts during August-November 2018. Control was selected from the same districts who did not suffer from DF. Predesigned questionnaire was used to collect data related to sociodemographic, behavioral and environmental characteristics. Bivariate and multivariate backward stepwise analyses were used. The adjusted odds ratios (aOR) and 95% confidence intervals (95%CI) were calculated. A P value < 0.05 was considered as the cut point for statistically significant. Epi info version 7.2 was used.Results: A total of 50 DF cases were found. Almost 52% were males and 76% were <30 years of age. The overall attack rate was 1/10,000 of the population. Case fatality rate was 4%. In multivariate analysis, not working (aOR = 26.6, 95% CI: 6.8–104.7), not using mosquito repellent (aOR = 13.9, 95% CI:1.4–136.8), wearing short sleeves/pants (aOR = 27.3, 95% CI: 4.8–156.8), poor sanitation (aOR = 5.4, 95% CI: 1.4–20.3), presence of outdoor trees (aOR = 13.2, 95% CI: 2.8–63.0) and houses without window nets (aOR = 15.7, 95% CI: 3.9–63.4) were statistically significant risk factors associated with DF outbreak. Eleven 11 (58%) of blood samples were positive for DF IgM.Conclusions: DF outbreak in Al Qahirah and Al Mudhaffar districts, Taiz governorate was confirmed. This study provides evidence-based information regarding the identified risk factors that contributed to the occurrence of this outbreak. Raising community awareness on the importance of personal protection measures and improving the sanitation services are strongly recommended.

scholarly journals Risk factors associated with early childhood caries – a case control study

2016 ◽  
Vol 31 (2) ◽  
pp. 83
Author(s):  
Marina De Deus Moura Lima ◽  
Zacarias Soares Brito-Neto ◽  
Heylane Oliveira Amaral ◽  
Cacilda Castelo Branco Lima ◽  
Marcoeli Silva de Moura ◽  
...  
Keyword(s):  
Risk Factors ◽  
Early Childhood ◽  
Early Childhood Caries ◽  
Case Control Study ◽  
Case Control ◽  
Control Group ◽  
Factors Associated ◽  
History Of ◽  
Control Study ◽  
Childhood Caries

Objective: The aim of this study was to determine the risk factors associated with early childhood caries (ECC).Methods: It was an observational retrospective case-control study. The case group consisted of all patients diagnosed with ECC in the records of an active program of maternal and child care. The control group was composed of an equal number of children, matched for gender and age, who attended the program and did not have ECC. The process of data collection consisted of completing a pre-established schedule to analyse variables related to the mother/caregiver and child.Statisticalanalysis was performed using the chi-squared and odds ratio (OR), with alpha (α) = 0.05.Results: History of caries in the mother (OR=2.61; CI 95%=1.45-4.67) and father (OR=1.72; CI 95%=1.02-2.89) were key determinants in the child being diagnosed with ECC.Conclusions: The risk factors associated with ECC were the following: no oral hygiene acceptance, nocturnal feeding duration of more than 16 months, a daily intake of sugar greater than 4 times a day, a Baume type II maxillary arch, fewer than 3 consultations with the program, and a history of decay in the parents.

A case-control study of reproductive risk factors associated with cervical cancer

1994 ◽  
Vol 59 (4) ◽  
pp. 476-482 ◽  
Author(s):  
Bishwa Nath Mukherjee ◽  
Subrata Sengupta ◽  
Salil Chaudhuri ◽  
Liton Naha Biswas ◽  
Pradip Maiti
Keyword(s):  
Risk Factors ◽  
Cervical Cancer ◽  
Case Control Study ◽  
Case Control ◽  
Reproductive Risk ◽  
Factors Associated ◽  
Reproductive Risk Factors ◽  
Control Study
Sign in / Sign up

Export Citation Format

Share Document