scholarly journals Horse-related incidents and factors for predicting injuries to the head

2018 ◽  
Vol 4 (1) ◽  
pp. e000398 ◽  
Author(s):  
Lauren Meredith ◽  
Robert Ekman ◽  
Robert Thomson
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Head Injury ◽  
Soft Tissue ◽  
Head Injuries ◽  
Binary Logistic Regression ◽  
Soft Tissue Injuries ◽  
Dental Services ◽  
Incident Type ◽  
Local Healthcare

ObjectivesHead injuries are the leading cause of death in horse-related injury events and, even since the introduction of helmets, represent a sizeable proportion of all horse-related injuries. Falls from horseback and kicks to the head are the most frequent type of incident causing head injuries, but it is unknown whether these incidents are predictors of head injury. This study aimed to investigate head injuries and the association between incident type and head injury.MethodRetrospective review of 7815 horse-related injury events was conducted. Data were gathered from hospitals, local healthcare centres and public dental services in Skaraborg, Sweden. Binary logistic regression was used to analyse the association between the incident type and occurrence of head injury while controlling for risk factors.ResultsApproximately 20% of riders sustained a head injury, mostly soft tissue injuries (56.3%) and concussions (33.4%). A fall from or with the horse was the primary cause of head injury (63.9%). Those who fell from a carriage or other height or who were injured through contact with the horse had no difference in the likelihood of head injury when compared with those that fell from or with the horse. However, those who sustained an injury without any horse contact had lower odd of head injury (OR: 0.640, p<0.00005, 95% CI 0.497 to 0.734). Additionally, the older the rider, the lower the odds of head injury (OR=0.989, p<0.00005, 95% CI 0.985 to 0.993).ConclusionImproved protection for those suffering falls from horseback as well as those who are kicked in the head should be investigated.

scholarly journals Clinical Significance of CYFRA21-1, AFP, CA-153, CEA, and CA-199 in the Diagnosis of Lung Cancer Ocular Metastasis in Hypertension Population

2021 ◽  
Vol 8 ◽  
Author(s):  
Jing Tang ◽  
Qian-Min Ge ◽  
Rong Huang ◽  
Hui-Ye Shu ◽  
Ting Su ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Logistic Regression ◽  
Sensitivity And Specificity ◽  
Cancer Metastasis ◽  
Binary Logistic Regression ◽  
Diagnostic Value ◽  
Ca 125 ◽  
Pathological Type ◽  
Independent Risk Factors

Purpose: To detect lung metastases, we conducted a retrospective study to improve patient prognosis.Methods: Hypertension patients with ocular metastases (OM group; n = 58) and without metastases (NM group; n = 1,217) were selected from individuals with lung cancer admitted to our hospital from April 2005 to October 2019. The clinical characteristics were compared by Student's t-test and chi-square test. Independent risk factors were identified by binary logistic regression, and their diagnostic value evaluated by receiver operating characteristic curve analysis.Results: Age and sex did not differ significantly between OM and NM groups; There were significant differences in pathological type and treatment. Adenocarcinoma was the main pathological type in the OM group (67.24%), while squamous cell carcinoma was the largest proportion (46.43%) in the NM group, followed by adenocarcinoma (34.10%). The OM group were treated with chemotherapy (55.17%), while the NM group received both chemotherapy (39.93%) and surgical treatment (37.06%). Significant differences were detected in the concentrations of cancer antigen (CA)−125, CA-199, CA-153, alpha fetoprotein (AFP), carcinoembryonic antigen (CEA), cytokeratin fraction 21-1 (CYFRA21-1), total prostate-specific antigen, alkaline phosphatase, and hemoglobin (Student's t-test). Binary logistic regression analysis indicated that CA-199, CA-153, AFP, CEA, and CYRFA21-1 were independent risk factors for lung cancer metastasis. AFP (98.3%) and CEA (89.3%) exhibited the highest sensitivity and specificity, respectively, while CYRFA21-1 had the highest area under the ROC curve value (0.875), with sensitivity and specificity values of 77.6 and 87.0%, respectively. Hence, CYFRA21-1 had the best diagnostic value.

Effect of wearing a helmet on the occurrence of head injuries in motorcycle riders in Benin: a case-control study nested in a cohort

2021 ◽  
Author(s):  
Bella Adodo Hounkpe Dos Santos ◽  
Yolaine Glele Ahanhanzo ◽  
Alphonse Kpozehouen ◽  
Donatien Daddah ◽  
Emmanuel Lagarde ◽  
...  
Keyword(s):  
Head Injury ◽  
Case Control Study ◽  
Head Injuries ◽  
Binary Logistic Regression ◽  
Case Control ◽  
Binary Logistic Regression Model ◽  
Independent Variables ◽  
Road Users ◽  
Trauma Victims ◽  
Control Study

Abstract Background In Benin, motorcycles are the main means of transport for road users and are involved in more than half of crashes. This study aims to determine the effect of wearing a helmet on reducing head injuries in road crashes in Benin. Methods This case-control study nested in a cohort took place in 2020 and focused on road trauma victims. The sample, consisting of 242 cases (trauma victims with head injuries) for 484 controls (without head injuries), was drawn from a cohort of traffic crash victims recruited from five hospitals across the country from July 2019 to January 2020. Four groups of independent variables were studied: socio-demographic and economic variables, history, ²oural variables including helmet use and road-related and environmental variables. To assess the shape of the association between the independent variables and the dependent variable, a descending step-by-step binary logistic regression model was performed using an explanatory approach.. Results Fewer of the subjects with a head injury were wearing a helmet at the time of the crash 69.8% (95% CI = 63.6 - 75.6) compared to those without a head injury 90.3% (95% CI = 87.3 - 92.8). Adjusting for the other variables, subjects not wearing helmets were at greater risk of head injuries (OR = 3.8, 95% CI (2.5 - 5.7)); the head injury rating was 1.9 (95% CI = 1.2 - 3.3) times higher in subjects who were fatigued during the crash than among those who were not and 2.0 (95% CI = 1.2 - 3.3) times higher than in subjects with no medical history. Conclusion Failure to wear a helmet exposes motorcyclists to the risk of head injuries during crashes. It is important to increase awareness and better target such initiatives at the subjects most at risk.

scholarly journals Study of Risk Factors Associated with Suicide Attempt in Patients with Bipolar Disorder Type I

2020 ◽  
Vol 11 (02) ◽  
pp. 291-298
Author(s):  
Karthick Subramanian ◽  
Vikas Menon ◽  
Siddharth Sarkar ◽  
Vigneshvar Chandrasekaran ◽  
Nivedhitha Selvakumar
Keyword(s):  
Risk Factors ◽  
Bipolar Disorder ◽  
Logistic Regression ◽  
Family History ◽  
Suicide Attempt ◽  
Coping Strategies ◽  
Binary Logistic Regression ◽  
Type I ◽  
Factors Associated ◽  
History Of

Abstract Background Suicide is the leading contributor to mortality in bipolar disorder (BD). A history of suicidal attempt is a robust predictive marker for future suicide attempts. Personality profiles and coping strategies are the areas of contemporary research in bipolar suicides apart from clinical and demographic risk factors. However, similar research in developing countries is rarer. Objectives The present study aimed to identify the risk factors associated with suicidal attempts in BD type I (BD-I). Materials and Methods Patients with BD-I currently in clinical remission (N = 102) were recruited. Sociodemographic details and the clinical data were collected using a semistructured pro forma. The psychiatric diagnoses were confirmed using the Mini-International Neuropsychiatric Interview 5.0. The National Institute of Mental Health–Life Chart Methodology Clinician Retrospective Chart was used to chart the illness course. Presumptive Stressful Life Events Scale, Coping Strategies Inventory Short Form, Buss–Perry aggression questionnaire, Past Feelings and Acts of Violence, and Barratt Impulsivity scale were used to assess the patient’s stress scores, coping skills, aggression, violence, and impulsivity, respectively. Statistical Analysis Descriptive statistics were used for demographic details and characteristics of the illness course. Binary logistic regression analyses were performed to identify the predictors for lifetime suicide attempt in BD-I. Results A total of 102 patients (males = 49 and females = 53) with BD-I were included. Thirty-seven subjects (36.3%) had a history of suicide attempt. The illness course in suicide attempters more frequently had an index episode of depression, was encumbered with frequent mood episodes, especially in depression, and had a higher propensity for psychiatric comorbidities. On binary logistic regression analysis, the odds ratios (ORs) for predicting a suicide attempt were highest for positive family history of suicide (OR: 13.65, 95% confidence interval [CI]: 1.28–145.38, p = 0.030), followed by the presence of an index depressive episode (OR: 6.88, 95% CI: 1.70–27.91, p = 0.007), and lower scores on problem-focused disengagement (OR: 0.72, 95% CI: 0.56–0.92, p = 0.009). Conclusion BD-I patients with lifetime suicide attempt differ from non-attempters on various course-related and temperamental factors. However, an index episode depression, family history of suicide, and lower problem-focused engagement can predict lifetime suicide attempt in patients with BD-I.

Dyslipidemia in northeastern China

Open Medicine ◽  
2011 ◽  
Vol 6 (2) ◽  
pp. 220-226 ◽  
Author(s):  
Xiao Shi ◽  
Qinglong Jin ◽  
Yulin Hu ◽  
Xiumei Chi ◽  
Yanhang Gao ◽  
...  
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Logistic Regression ◽  
Risk Factor ◽  
Coronary Artery ◽  
Binary Logistic Regression ◽  
Northeastern China ◽  
Major Risk Factor ◽  
Coronary Artery Diseases ◽  
Factors Associated

AbstractDyslipidemia, is a major risk factor for premature coronary artery disease. Our aim was to estimate the prevalence of dyslipidemia (blood lipid abnormalities) and other risk factors associated with coronary artery diseases among an adult population in northeastern China. Throughout the months of September and October of 2007,a population-based cross-sectional study was conducted and a total of 3,815 individuals were included. Total cholesterol (TC), high-density cholesterol (HDL-C), low-density cholesterol (LDL-C), and triglycerides (TG) were measured. A binary logistic regression analysis was conducted to determine risk factors associated with dyslipidemia. The prevalence of hypercholesterolemia, high LDL-C, low HDL-C, and hypertriglyceridemia were 17.3%, 27.8%, 11.66% and 29.85%, respectively. The prevalence of hypertension, central obesity, alcoholic liver disease (ALD), non-ALD, diabetes and metabolic syndrome was higher in serum lipid abnormality groups than in the non-dyslipidemia group (p < 0.001). In a binary logistic regression, hyperlipidemia was positively correlated with age, male, hypertension, high body mass index, etc. There were negative correlations with being female and the level of education a subject had attained. Dyslipidemia is a major risk factor for premature coronary artery diseases and an important public health issue in the northeastern part of China. Dyslipidemia is more frequent than expected based on previous studies. To control dyslipidemia, routine evaluations in clinics and community centers are needed, as well as effective public health education.

Analysis of Car Deformation Effect on AIS3+ Head Injury in Frontal Crash Using Logistic Regression Modeling

2014 ◽  
Vol 543-547 ◽  
pp. 354-357
Author(s):  
Shu Cai Xu ◽  
Xing Hua Lai ◽  
Chun Sheng Ma ◽  
Jin Huan Zhang ◽  
Jing Wen Hu
Keyword(s):  
Logistic Regression ◽  
Head Injury ◽  
Seat Belt ◽  
Head Injuries ◽  
Wide Distribution ◽  
Crash Test ◽  
Damage Distribution ◽  
Frontal Crash ◽  
Crash Data ◽  
Frontal Crashes

The influence of vehicle deformation on the risks of head injury for the drivers involved in frontal crashes is studied using real world crash data. There are three types of vehicle damage distribution considered in this paper, namely, wide distribution, moderate offset, and small offset. The adjusted odds ratios (OR) along with 95% confidence intervals (CI) for the head injuries are estimated by logistic regression, controlling for a wide variety of confounders. Results show that occupants' head injuries are highly related to damage distribution. Small offset crash has greatest threat to head injury. Seat belt is effective in all the crash types of concern. This study provides evidences to upgrade existing frontal crash test program and clue to countermeasure development for occupant protection in different crash modes.

scholarly journals The Effect of Alcohol Intoxication on Mortality of Blunt Head Injury

2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Hsing-Lin Lin ◽  
Tsung-Ying Lin ◽  
Kwan-Ming Soo ◽  
Chao-Wen Chen ◽  
Liang-Chi Kuo ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Logistic Regression ◽  
Head Injury ◽  
Traffic Accident ◽  
Alcohol Intoxication ◽  
Head Injuries ◽  
Blood Alcohol Concentration ◽  
Alcohol Concentration ◽  
Brain Computed Tomography ◽  
Adjusted Logistic Regression

Alcohol is found to have neuroprotection in recent studies in head injuries. We investigated the association of blood alcohol concentration (BAC) with mortality of patients with blunt head injury after traffic accident. All patients sustaining blunt head injury caused by traffic accident brought to our emergency department who had obtained a brain computed tomography scans and BAC were analyzed. Patients with unknown mechanisms, transfers from outside hospitals, and incomplete data were excluded. Logistic regression was used to identify independent predictors of mortality. During the study period, 3,628 patients with brain computed tomography (CT) were included. Of these, BAC was measured in 556 patients. Patients with the lowest BAC (less than 8 mg/dl) had lower mortality; intoxicated patients with BAC between 8 and less than 100 mg/dl were associated with significantly higher mortality than those patients in other intoxicated groups. Adjusted logistic regression demonstrated higher BAC group and Glasgow coma scale (GCS) scores, and lower ISS and age were identified as independent predictors of reduced mortality. In our study, we found that patients who had moderate alcohol intoxication had higher risk of mortality. However, higher GCS scores, lower ISS, and younger age were identified as independent predictors of reduced mortality in the study patients.

scholarly journals Modelling of Risk Factors of Diabetes in United Arab Emirates (UAE)

2015 ◽  
Vol 1 (2) ◽  
pp. 28
Author(s):  
Suheer Haroun
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Logistic Regression ◽  
Blood Glucose ◽  
United Arab Emirates ◽  
Binary Logistic Regression ◽  
Sample Survey ◽  
Fresh Vegetables ◽  
Study Results

Objectives: The aim of this study was to model and determine factors influencing the risk of diabetes mellitus (DM) in the United Arab Emirates and to analyze data related to the topic. Methods: The study was carried out in UAE, using a questionnaire to out-patients in a medical clinic that contained socio-demographic characteristics and risk factors were used for data collection. Sample survey data analyzed using descriptive techniques, correlations, and binary logistic regression models. Binary logistic regression were performed to find the crude and adjusted odds ratio (OR) and 95% confidence interval (CI) was calculated to find the significance of the observed OR. A p-value ≤ 0.05 was considered statistically significant All Analysis was performed using SPSS and Microsoft excels. Results: study results showed that six main factors influence the risk of diabetes in UAE, which are, blood glucose, blood pressure, physical activity, waist size, gender and family history of diabetes. Marital status, smoking, and intake of fresh vegetables and fruits did not show any statistically significant association with risk of diabetes in UAE. Blood glucose is observed as the most statistically significant factor (for every one unit increase in blood glucose, the study expect a 5.422 increase in the risk of developing diabetes), at the meantime gender observed as the lowest statistically significant factor (if the respondent is male the probability of being diabetic is 0.809 percent) holding all other independent variables constant. Conclusion: Results of the present study will be one of use in planning primordial, primary and secondary measures of prevention at the community. Encouraging physical activity, controlling blood pressure and blood glucose may significantly decrease the risk of diabetes mortality; effective health education programs promoting regular exercise and effective advices may needed to reduce the burden of diabetes in UAE.

scholarly journals Risk Factors that Affect The Incidence of Dengue Haemorrhagic Fever in The Work Area of Puskesmas Pare

2018 ◽  
Vol 10 (4) ◽  
pp. 417
Author(s):  
Ericha Fitria Widyatama
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Dengue Hemorrhagic Fever ◽  
Community Health Center ◽  
Binary Logistic Regression ◽  
Hemorrhagic Fever ◽  
Haemorrhagic Fever ◽  
Cross Sectional ◽  
Independent Variables ◽  
Work Area

Pare Community Health Center or Puskesmas is one of Puskesmas in Kecamatan Pare which has the highest number of Dengue Hemorrhagic Fever incidence that is 64 incidence in 2016. The purpose of this study is to analyze the risk factors that affect the incidence of Dengue Hemorrhagic Fever in the work area of Puskesmas Pare. It was an observational study with cross sectional approach. Interviews and environmental observations were conducted on 100 respondents, randomly, in the working area of Puskesmas Pare, Desa Tulungrejo. The independent variables of the research were larvae existence , maya index status and 4M Plus behavior, with the dependent variable of the research was Dengue Hemorrhagic Fever incidence in 2016.This data was analized by binary logistic regression test.The results of this study indicate that risk factors that affect the incidence of Dengue Hemorrhagic Fever is the action of 4M Plus (p = 0,017).Therefore, the 4M Plus actions should be further improved independently and promoted evenly to the community in order to suppress the incidence of Dengue Hemorrhagic Fever.

scholarly journals Serum markers change for intraocular metastasis in renal cell carcinoma

2021 ◽  
Author(s):  
Tie Sun ◽  
Jing Tang ◽  
Yi-Cong Pan ◽  
Chen-Yu Yu ◽  
Biao Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Renal Cell Carcinoma ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Intraocular Metastasis

Objective: Intraocular metastasis(IOM) of renal cell carcinoma is rare. In this study, we studied the relationship between different biochemical indicators and the occurrence of IOM in renal cancer patients, and identified the potential risk factors. Methods: A retrospective analysis of the clinical data of 214 patients with renal cell carcinoma from October 2001 to August 2016. Analyze the difference and correlation of various indicators between the two groups with or without IOM, and use binary logistic regression analysis to explore the risk factors of IOM in renal cancer patients. Calculate the diagnostic value of each independent related factor according to the receiver operating curve (ROC). Results: The level of neuron specific enolase （NSE） in renal cell carcinoma patients with IOM was significantly higher than that in patients without IOM (P &lt; 0.05). There was no significant difference in ALP, Hb, serum calcium concentration, AFP, CEA, CA-125 etc. between IOM group and non-intraocular metastasis (NIOM) group (P &gt; 0.05). Binary logistic regression analysis showed that NSE was an independent risk factor for IOM in renal cell carcinoma patients (P &lt; 0.05). ROC curve shows that the factor has high accuracy in predicting IOM, and the area under the curve is 0.774. The cut-off value of NSE was 49.5U/L, the sensitivity was 72.2%, and the specificity was 80.1%. Conclusion：NSE concentration is a risk factor for IOM in patients with renal cell cancer. If the concentration of NSE in the patient's body is ≥49.5U/L, disease monitoring and eye scans should be strengthened.

Sign in / Sign up

Export Citation Format

Share Document