scholarly journals Characteristics of urolithiasis in the dog population of Hungary from 2001 to 2012

2015 ◽  
Vol 63 (3) ◽  
pp. 323-336 ◽  
Author(s):  
Balázs Bende ◽  
Krisztina Borbála Kovács ◽  
Norbert Solymosi ◽  
Tibor Németh
Keyword(s):  
At Risk ◽  
Logistic Regression ◽  
Statistical Analysis ◽  
Cumulative Incidence ◽  
Annual Incidence ◽  
Odds Ratios ◽  
Cocker Spaniel ◽  
Epidemiologic Data ◽  
Different Types ◽  
French Bulldog

The objective of this study was to describe the epidemiology of canine urolithiasis in Hungary in order to determine the annual incidence of urolithiasis and to identify breeds at risk for different types of urolithiasis. Data of a total of 2,543 canine uroliths analysed in the laboratory of the Budapest Urolith Centre were evaluated retrospectively from 2001 to 2012. Logistic regression was used to assess odds ratios for the proportion of each affected breed compared to those of crossbreeds. The annual incidence of urolithiasis was evaluated by the number of submissions compared to the estimated number of dogs in the population from which the samples originated. Epidemiologic data revealed a relatively high and increasing proportion of struvite urolithiasis. Statistical analysis of breed predispositions resulted in the detection of breeds not having been reported at risk (e.g. Bernese Mountain dog — struvite, Bichon Frise, Bolognese, Tibetan Terrier — purine, French Bulldog — cystine). Conflicting results were revealed for some other breeds previously described as being affected by certain types of urolithiasis (Chihuahua, Pekingese, Shih Tzu, English Cocker Spaniel). Regardless of the type of urolithiasis, its average cumulative incidence in the dog population of Hungary was found to be 1.76/10,000/year.

Female Authorship in Radiology: Trends in the Past Decade in CARJ

2020 ◽  
pp. 084653712094664
Author(s):  
Nicole Li ◽  
Mostafa Alabousi ◽  
Michael N. Patlas
Keyword(s):  
Logistic Regression ◽  
Statistical Analysis ◽  
P Value ◽  
Inclusion Criteria ◽  
Odds Ratios ◽  
The Past ◽  
Single Author ◽  
Canadian Association ◽  
Female Authorship ◽  
Over Time

Purpose: To identify trends in female authorship in the Canadian Association of Radiologists Journal (CARJ) from 2010 to 2019. Methods: We retrieved papers published in the CARJ over a 10-year period, and retrospectively reviewed 602 articles. All articles except editorials and advertisements were included. We categorized the names of the first and last position authors as female or male and excluded articles that had at least one author of which gender was not known. We compared the trends in the first and last position authors of the articles from 2010 to 2019. For statistical analysis, logistic regression was performed with reported odds ratios (ORs), and a P value of <.05 was defined as statistically significant. Results: Five hundred thirteen articles met inclusion criteria. Among them, 23 articles with a single author were classified as having only a first author. 39.8% (204/513) of first authors were female and 26.9% (132/490) of last authors were female. There has been an overall temporal increase in the odds of both the first and last author being female in CARJ publications (OR: 1.11, P = .034). Similarly, the odds a CARJ publication’s first author being female increased over time (OR: 1.07, P = .033). Female last author did not predict female first author (OR: 1.48, P = .056). There was no association identified between female last author and year of publication (OR: 1.04, P = .225). Conclusion: There has been an overall increase in engagement of female authorship in CARJ.

scholarly journals Difficulties in getting to sleep, late bedtime and sleep duration among adolescents in Latvia

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
S Klavina-Makrecka ◽  
A Villerusa ◽  
I Gobina ◽  
I Pudule ◽  
B Velika ◽  
...  
Keyword(s):  
At Risk ◽  
Logistic Regression ◽  
Statistical Analysis ◽  
Sleep Duration ◽  
Insufficient Sleep ◽  
Adjusted Logistic Regression ◽  
Underlying Mechanisms ◽  
Sleep Difficulties ◽  
General Wellbeing

Abstract Background Sleep is important for adolescent general wellbeing and different sleep domains like difficulties in getting to sleep, bedtime resistance and sleep duration can be studied. This study investigates the prevalence of weekly difficulties in getting to sleep in association with bedtime and sleep duration on schooldays and weekends among adolescents in Latvia. Methods Data from the HBSC Survey 2017/2018 of Latvia with 4412 respondents aged 11, 13 and 15 years were used for statistical analysis. Sleep duration less than 7h was classified as insufficient and bedtime at 0:00 or later as delayed bedtime. Age-adjusted logistic regression and adolescents without weekly difficulties in getting to sleep as a reference was used for studying the associations. Results On average, 43.6% of adolescents (38.0% boys and 49.1% girls) reported weekly difficulties in getting to sleep. Of those, 26.5% reported sleep duration &lt;7h on schooldays but 5.6% on weekends. On average, difficulties in getting to sleep was associated with the increased odds of insufficient sleep duration on schooldays (OR = 2.16; 95%CI 1.84-2.54) and weekends (OR = 1.66; 95%CI 1.23-2.24), with higher odds in girls than boys. Delayed bedtime was significantly more prevalent among adolescents with sleep difficulties than for those without (33.7% vs 20.6%). The sleep duration &lt;7h was more prevalent among those adolescents having sleep difficulties and delayed bedtime than in those with sleep difficulties and bedtime before 0:00, both on schooldays (72.1% vs 3.2%) and weekends (7.9% vs 0%). Conclusions Difficulties in getting to sleep among adolescents are highly prevalent and increases the odds of insufficient sleep duration, especially in girls. Delayed bedtime seems to modify the association between the difficulties in getting to sleep and sleep duration. Key messages Adolescents with difficulties in getting to sleep are at risk of delayed bedtimes and insufficient sleep duration. Further studies to explore the underlying mechanisms linking difficulties in getting to sleep and delayed bedtime are required.

scholarly journals Early prediction of the risk of scoring lower than 500 on the COMLEX 1

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qing Zhong ◽  
Han Wang ◽  
Payton Christensen ◽  
Kevin McNeil ◽  
Matthew Linton ◽  
...  
Keyword(s):  
At Risk ◽  
Logistic Regression ◽  
Medical Students ◽  
Student Performance ◽  
Predictive Models ◽  
Pearson Correlation ◽  
Significant Risk ◽  
The United States ◽  
Odds Ratios ◽  
College Of Osteopathic Medicine

Abstract Background The Comprehensive Osteopathic Medical Licensing Examination of the United States Level 1 (COMLEX 1) is important for medical students to be able to graduate. There is a glaring need to identify students who are at a significant risk of performing poorly on COMLEX 1 as early as possible so that extra assistance can be provided to those students. Our goal is to produce a reliable predictive model to identify students who are at risk of scoring lower than 500 on COMLEX 1 at the earliest possible time. Methods Academic data from medical students who matriculated at Rocky Vista University College of Osteopathic Medicine between 2011 and 2017 were obtained. Odds ratios were used to assess the predictors for scoring lower than 500 on COMLEX 1. Correlation with COMLEX 1 scores was assessed with Pearson correlation coefficient. The predictive models were developed by multiple logistic regression, backward logistic regression, and logistic regression with average scores in courses in the first three semesters, and were based on performances on the Medical College Admissions Test (MCAT) before admission, as well as students’ performances in preclinical courses during the first three semesters. The models were generated in about 82% of the student performance data and were then validated in the remaining 18% of the data. Results Odds ratios showed that MCAT scores and final grades in each course in the first three semesters were significant in predicting a score lower than 500 on COMLEX 1. Performances in third-semester courses including Renal System II, Cardiovascular System II, and Respiratory System II were most important in prediction. The three predictive models had sensitivities of 65.8 -71%, and specificities of 83.2 - 88.2% in predicting a score lower than 500 on COMLEX 1. Conclusions Lower MCAT scores and lower grades in the first three semesters of medical school predict scoring lower than 500 on COMLEX 1. Students who are identified at risk by our models will have a 65.8 -71% chance of actually scoring lower than 500 on COMLEX 1. Those students will have enough time to receive assistance before taking COMLEX 1.

Do logistic regression and signal detection identify different subgroups at risk? Implications for the design of tailored interventions.

2001 ◽  
Vol 6 (1) ◽  
pp. 35-48 ◽  
Author(s):  
Michaela Kiernan ◽  
Helena C. Kraemer ◽  
Marilyn A. Winkleby ◽  
Abby C. King ◽  
C. Barr Taylor
Keyword(s):  
At Risk ◽  
Logistic Regression ◽  
Signal Detection ◽  
Tailored Interventions

Intimate Partner Violence and its Association With Contraceptive Use Among Women in Pakistan

2019 ◽  
Vol 34 (Spring 2019) ◽  
pp. 157-173
Author(s):  
Kashif Siddique ◽  
Rubeena Zakar ◽  
Ra’ana Malik ◽  
Naveeda Farhat ◽  
Farah Deeba
Keyword(s):  
Intimate Partner Violence ◽  
Logistic Regression ◽  
Partner Violence ◽  
Contraceptive Use ◽  
Binary Logistic Regression ◽  
Intimate Partner ◽  
Married Women ◽  
Reproductive Age ◽  
Outcome Variable ◽  
Odds Ratios

The aim of this study is to find the association between Intimate Partner Violence (IPV) and contraceptive use among married women in Pakistan. The analysis was conducted by using cross sectional secondary data from every married women of reproductive age 15-49 years who responded to domestic violence module (N = 3687) of the 2012-13 Pakistan Demographic and Health Survey. The association between contraceptive use (outcome variable) and IPV was measured by calculating unadjusted odds ratios and adjusted odds ratios with 95% confidence intervals using simple binary logistic regression and multivariable binary logistic regression. The result showed that out of 3687 women, majority of women 2126 (57.7%) were using contraceptive in their marital relationship. Among total, 1154 (31.3%) women experienced emotional IPV, 1045 (28.3%) women experienced physical IPV and 1402 (38%) women experienced both physical and emotional IPV together respectively. All types of IPV was significantly associated with contraceptive use and women who reported emotional IPV (AOR 1.44; 95% CI 1.23, 1.67), physical IPV (AOR 1.41; 95% CI 1.20, 1.65) and both emotional and physical IPV together (AOR 1.49; 95% CI 1.24, 1.72) were more likely to use contraceptives respectively. The study revealed that women who were living in violent relationship were more likely to use contraceptive in Pakistan. Still there is a need for women reproductive health services and government should take initiatives to promote family planning services, awareness and access to contraceptive method options for women to reduce unintended or mistimed pregnancies that occurred in violent relationships.

scholarly journals Entomological survey for identification of Aedes larval breeding sites and their distribution in Chattogram, Bangladesh

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Md. Sahidur Rahman ◽  
Md. Omar Faruk ◽  
Sumiya Tanjila ◽  
Nur Mohammad Sabbir ◽  
Najmul Haider ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Field Survey ◽  
Mosquito Control ◽  
Multiple Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
Breeding Sites ◽  
Entomological Survey ◽  
Different Types ◽  
Coconut Shells ◽  
Positive Properties

Abstract Background Studying the characteristics of Aedes mosquito habitats is essential to control the mosquito population. The objective of this study was to identify the breeding sites of Aedes larvae and their distribution in Chattogram, Bangladesh. We conducted an entomological survey in 12 different sub-districts (Thana) under Chattogram City, during the late monsoon (August to November) 2019. The presence of different wet containers along with their characteristics and immature mosquitoes was recorded in field survey data form. Larvae and/or pupae were collected and brought to the laboratory for identification. Results Different indices like house index, container index, and the Breteau index were estimated. The multiple logistic regression analysis was applied to identify habitats that were more likely to be positive for Aedes larvae/pupae. A total of 704 wet containers of 37 different types from 216 properties were examined, where 52 (7.39%) were positive for Aedes larvae or pupae. Tire, plastic buckets, plastic drums, and coconut shells were the most prevalent container types. The plastic group possessed the highest container productivity (50%) whereas the vehicle and machinery group was found as most efficient (1.83) in terms of immature Aedes production. Among the total positive properties, 8% were infested with Aedes aegypti, 2% with Aedes albopictus, and 1% contained both species Ae. aegypti and A. albopictus. The overall house index was 17.35%, the container index was 7%, and the Breteau index was 24.49. Containers in multistoried houses had significantly lower positivity compared to independent houses. Binary logistic regression represented that containers having shade were 6.7 times more likely to be positive than the containers without shade (p< 0.01). Conclusions These findings might assist the authorities to identify the properties, containers, and geographical areas with different degrees of risk for mosquito control interventions to prevent dengue and other Aedes-borne disease transmissions.

A Predictive Model of Intrinsic Factors Associated with Long-Stay Nursing Home Care After Hospitalization

2020 ◽  
pp. 105477382098527
Author(s):  
Jane Flanagan ◽  
Marie Boltz ◽  
Ming Ji
Keyword(s):  
At Risk ◽  
Logistic Regression ◽  
Receiver Operating Characteristic ◽  
Predictive Model ◽  
Operating Characteristic ◽  
Resource Planning ◽  
Term Care ◽  
Intrinsic Factors ◽  
Patients At Risk ◽  
Receiver Operating

We aimed to build a predictive model with intrinsic factors measured upon admission to skilled nursing facilities (SNFs) post-acute care (PAC) to identify older adults transferred from SNFs to long-term care (LTC) instead of home. We analyzed data from Massachusetts in 23,662 persons admitted to SNFs from PAC in 2013. Explanatory logistic regression analysis identified single “intrinsic predictors” related to LTC placement. To assess overfitting, the logistic regression predictive model was cross-validated and evaluated by its receiver operating characteristic (ROC) curve. A 12-variable predictive model with “intrinsic predictors” demonstrated both high in-sample and out-of-sample predictive accuracy in the receiver operating characteristic ROC and area under the ROC among patients at risk of LTC placement. This predictive model may be used for early identification of patients at risk for LTC after hospitalization in order to support targeted rehabilitative approaches and resource planning.

ASYMMETRIES IN UNIVERSAL GRAMMAR The Role of Method and Statistics

2000 ◽  
Vol 22 (2) ◽  
pp. 209-228 ◽  
Author(s):  
John C. Paolillo
Keyword(s):  
Logistic Regression ◽  
Statistical Analysis ◽  
Statistical Models ◽  
Logistic Regression Model ◽  
Universal Grammar ◽  
Nonnative Speakers ◽  
Potential Explanation ◽  
Differential Learning ◽  
Grammaticality Judgments

Felix (1988) claimed to demonstrate that UG-based knowledge of grammaticality causes nonnative speakers (NNSs) to have more accurate grammaticality judgments on sentences that are ungrammatical according to UG than on those that are grammatical. Birdsong (1994) criticized the methodology employed, noting that it ignores “response bias” (a propensity to judge sentences as ungrammatical) as a potential explanation. Felix and Zobl (1994) dismissed this criticism as merely methodological. In this paper, Birdsong's criticism is upheld by considering a statistical model of the data. At the same time, a more complete logistic regression model allows a fuller statistical analysis, revealing tentative support for the asymmetry claim, as well as differential learning states for different constructions and a tendency toward transfer avoidance. These theoretically significant effects were unnoticed in the earlier discussion of this research. For SLA research on grammaticality judgments to proceed fruitfully, appropriate statistical models need to be considered in designing the research.

Effects of Criminal Sanctions on Drunk Drivers: Beyond Incarceration

1988 ◽  
Vol 34 (1) ◽  
pp. 29-42 ◽  
Author(s):  
Gerald R. Wheeler ◽  
Rodney V. Hissong
Keyword(s):  
At Risk ◽  
Statistical Analysis ◽  
Survival Time ◽  
Drunk Driving ◽  
Population At Risk ◽  
Criminal Sanctions ◽  
Drunk Drivers ◽  
First Offenders ◽  
Alternative Sanctions

Proponents of mandatory jail laws contend that alternative sanctions such as probation and fines have failed to modify behavior of those convicted of drunk driving (DWI). In order to test this proposition, we evaluated the effects of probation, fines, and jail sentences on DWI recidivism of a randomly selected DWI population at risk for 36 months. Utilizing survival time statistical analysis, the findings showed no significant differences in outcome among sanctions. As predicted, persons with a DWI history recidivated significantly sooner than first offenders. We conclude by advocating a policy of alternative sanctions to incarceration for drunk drivers.

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