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1
Spanos, Nicholas P., Joyce L. D'Eon, Anne E. Pawlak, Christopher D. Mah, and Gary Ritchie. "A Multivariate Study of Hypnotic Susceptibility." Imagination, Cognition and Personality 9, no. 1 (September 1989): 33–48. http://dx.doi.org/10.2190/9y7a-7hqm-2rne-v759.
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Twelve variables previously shown to predict hypnotic susceptibility were factor, analyzed. Six of them loaded on a common factor labeled “a positive set toward, imagining.” The items from two hypnotic susceptibility scales were also factor, analyzed, and fell into three factors (one “cognitive” and two motor factors)., Multiple regression analyses using the susceptibility scales and also the three, susceptibility factors as criterion variables indicated that most of the predicted, variance was accounted for by the predictor variables that loaded on the, “imaginative set” factor. Many of the predictor variables did not contribute, significantly to the prediction of the susceptibility measures. Moreover, a number of, predictors, that purportedly assess similar processes, failed to intercorrelate, significantly. Methodological and theoretical implications of these findings are, discussed.
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TOZATTI, Joana, André Luiz Parizi MELLO, and Orli FRAZON. "Predictor factors for choledocholithiasis." ABCD. Arquivos Brasileiros de Cirurgia Digestiva (São Paulo) 28, no. 2 (June 2015): 109–12. http://dx.doi.org/10.1590/s0102-67202015000200006.
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BACKGROUND: The choledocolithiasis has an incidence of 8-20% in patients with cholecystolithiasis. The preoperative diagnosis guides the interventional treatment on the bile duct AIM: To evaluate the sensitivity and specificity of the laboratory markers and imaging studies for choledocholithiasis preoperatively. METHODS: The study comprised 254 patients divided into two groups: the control group (207 patients), patients without choledocholithiasis intraoperatively and cases group (47 patients), that enrolled the patients with choledocholithiasis intra-operatively. Were evaluated the laboratory markers, image exams and intra-operative diagnostic aspects. RESULTS: The sample was homogeneous for age and gender. It was observed that 47% of the cases the patients did not show comorbidities. Hospitalization showes in cases group acute pancreatitis in12.8%, jaundice in 30%, fever in 30% and pain in the right hypochondrium in 95%. By comparing them, was observed that fever and jaundice were the signs and symptoms with statistical significance. Patients with choledocholithiasis had transaminases, alkaline phosphatase, gamma-glutamyl transferase and higher bilirubin with statistical significance (p<0.001). In regard to imaging studies, ultrasound was fairly accurate for cholelithiasis and choledocholithiasis (p<0.001). CONCLUSION: Changes in canalicular and transaminase enzymes are suggestive for preoperative choledocholithiasis; GGT showed better sensitivity and alkaline phosphatase greater specificity; ultrasonography and nuclear magnetic resonance cholangiopancreatography showed high specificity.
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Diedrich, Jennifer, Aljoscha C. Neubauer, and Anna Ortner. "The Prediction of Professional Success in Apprenticeship: The Role of Cognitive and Non-Cognitive Abilities, of Interests and Personality." International Journal for Research in Vocational Education and Training 5, no. 2 (August 30, 2018): 82–110. http://dx.doi.org/10.13152/ijrvet.5.2.1.
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Context: We addressed the issue of person-job-fit by focussing on both professional success and work satisfaction. Publications studying the predictive validity of (cognitive) ability, personality, or vocational interest alone have shown relationships with professional success or work satisfaction for each predictor separately. Nevertheless, these predictors have rarely been studied simultaneously. Methods: To this end we tested the incremental validity of abilities, traits, and interests in a sample from diverse occupations: In 648 apprentices and students from five different branches (Food, Tech, People, Office, Craft) the (incremental) contributions of 3 intelligence factors (verbal, numerical, spatial), 3 alternative abilities (social-emotional, creative, practical), 4 conscientiousness facets, other big five factors (O, E, A, N), and of 14 professional interests were analysed regarding prediction of GPA in professional schools and school/job satisfaction. Results: Intelligence and conscientiousness were best predictors, followed by social-emotional competence and interests, whereas other traits provided marginal contributions. Predictors varied between branches, mostly following expectations. The test battery allowed a very good prediction of apprenticeship success (max. 37%), but for some branches prediction was considerably lower.Conclusion: Criteria for person-job-fit are not swappable, neither are the predictors. Professional success was mostly predicted by a different predictor set -namely ability and the personality dimension of conscientiousness- then satisfaction, which was mostly predicted by non-interest in a certain occupation. As a practical implication, we conclude that choosing the right candidate for a certain branch one needs to use a broad set of predictor variables. Besides cognitive ability also personality and vocational interests had predictive validity for an individuals person-job-fit.
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De Man, Anton, and Paul Simpson-Housley. "Factors in Perception of Earthquake Hazard." Perceptual and Motor Skills 64, no. 3 (June 1987): 815–20. http://dx.doi.org/10.2466/pms.1987.64.3.815.
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130 subjects participated in a study of the relationship between selected predictors and responses to potential earthquake hazard. The results of backstep regression analyses indicated (a) that amount of education was the best predictor from those selected of perceived probability of earthquake occurrence, (b) that estimation of potential damage was related to number of damage reduction measures, perceived reliability of official support systems, and expectation of earthquake, and (c) that trait-anxiety and expectation of earthquake accounted for a significant percentage of the variance in acknowledged anxiety in response to prediction of an earthquake.
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McIntosh, Kent, Sterett H. Mercer, Rhonda N. T. Nese, M. Kathleen Strickland-Cohen, Angus Kittelman, Robert Hoselton, and Robert H. Horner. "Factors Predicting Sustained Implementation of a Universal Behavior Support Framework." Educational Researcher 47, no. 5 (May 16, 2018): 307–16. http://dx.doi.org/10.3102/0013189x18776975.
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In this 3-year prospective study, we tested the extent to which school-, practice-, and district-level variables predicted sustained implementation for schools in various stages of implementation of school-wide positive behavioral interventions and supports (SWPBIS) Tier 1 (universal) systems. Staff from 860 schools in 14 U.S. states completed a research-validated measure of factors associated with sustained implementation of school interventions during Year 1 of this study. Analyses included multigroup structural equation modeling of school and district implementation fidelity data. Results indicated that adequate implementation fidelity and better Team Use of Data for decision making in Study Year 1 were the strongest predictors of sustained implementation in Year 3. In addition, the number of other schools in the district adopting SWPBIS was a similarly strong predictor. A critical mass of schools implementing was also predictive, especially for schools earlier in implementation. School characteristics were not predictive, except for grade levels served, which was an inconsistent predictor by stage.
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Ren, Yan, Shiyao Huang, Qianrui Li, Chunrong Liu, Ling Li, Jing Tan, Kang Zou, and Xin Sun. "Prognostic factors and prediction models for acute aortic dissection: a systematic review." BMJ Open 11, no. 2 (February 2021): e042435. http://dx.doi.org/10.1136/bmjopen-2020-042435.
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ObjectiveOur study aimed to systematically review the methodological characteristics of studies that identified prognostic factors or developed or validated models for predicting mortalities among patients with acute aortic dissection (AAD), which would inform future work.Design/settingA methodological review of published studies.MethodsWe searched PubMed and EMBASE from inception to June 2020 for studies about prognostic factors or prediction models on mortality among patients with AAD. Two reviewers independently collected the information about methodological characteristics. We also documented the information about the performance of the prognostic factors or prediction models.ResultsThirty-two studies were included, of which 18 evaluated the performance of prognostic factors, and 14 developed or validated prediction models. Of the 32 studies, 23 (72%) were single-centre studies, 22 (69%) used data from electronic medical records, 19 (59%) chose retrospective cohort study design, 26 (81%) did not report missing predictor data and 5 (16%) that reported missing predictor data used complete-case analysis. Among the 14 prediction model studies, only 3 (21%) had the event per variable over 20, and only 5 (36%) reported both discrimination and calibration statistics. Among model development studies, 3 (27%) did not report statistical methods, 3 (27%) exclusively used statistical significance threshold for selecting predictors and 7 (64%) did not report the methods for handling continuous predictors. Most prediction models were considered at high risk of bias. The performance of prognostic factors showed varying discrimination (AUC 0.58 to 0.95), and the performance of prediction models also varied substantially (AUC 0.49 to 0.91). Only six studies reported calibration statistic.ConclusionsThe methods used for prognostic studies on mortality among patients with AAD—including prediction models or prognostic factor studies—were suboptimal, and the model performance highly varied. Substantial efforts are warranted to improve the use of the methods in this population.
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Klentrou, Panagiota, Izabella A. Ludwa, and Bareket Falk. "Factors associated with bone turnover and speed of sound in early and late-pubertal females." Applied Physiology, Nutrition, and Metabolism 36, no. 5 (October 2011): 707–14. http://dx.doi.org/10.1139/h11-085.
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This cross-sectional study examines whether maturity, body composition, physical activity, dietary intake, and hormonal concentrations are related to markers of bone turnover and tibial speed of sound (tSOS) in premenarcheal (n = 20, 10.1 ± 1.1 years) and postmenarcheal girls (n = 28, aged 15.0 ± 1.4 years). Somatic maturity was evaluated using years from age of peak height velocity (aPHV). Daily dietary intake was assessed with a 24-h recall interview, and moderate to very vigorous physical activity (MVPA) was measured using accelerometry. Plasma levels of 25-OH vitamin D, serum levels of insulin-like growth-factor 1 (IGF-1) and leptin, and serum levels of bone turnover markers including osteocalcin (OC), bone-specific alkaline phosphatase (BAP) and cross-linked N-teleopeptide of type I collagen (NTX) were measured using ELISA. OC, BAP, and NTX were significantly higher while IGF-1 and tSOS were lower in the premenarcheal group. The premenarcheal girls were more active and had higher daily energy intake relative to their body mass but there were no group differences in body mass index percentile. Maturity predicted 40%–57% of the variance in bone turnover markers. Additionally, daily energy intake was a significant predictor of OC, especially in the postmenarcheal group. IGF-1 and MVPA were significant predictors of BAP in the group as a whole. However, examined separately, IGF-1 was a predictor of BAP in the premenarcheal group while MVPA was a predictor in the postmenarcheal group. Adiposity and leptin were both negative predictors of tSOS, with leptin being specifically predictive in the postmenarcheal group. In conclusion, while maturity was the strongest predictor of bone markers and tSOS, dietary intake, physical activity, body composition, and hormonal factors further contribute to the variance in bone turnover and bone SOS in young Caucasian females. Further, the predicting factors of bone turnover and tSOS were different within each maturity group.
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Blazel, Madeleine M., Karen K. Lazar, Carol A. Van Hulle, Yue Ma, Aleshia Cole, Alice Spalitta, Nancy Davenport-Sis, et al. "Factors Associated with Lumbar Puncture Participation in Alzheimer’s Disease Research." Journal of Alzheimer's Disease 77, no. 4 (October 13, 2020): 1559–67. http://dx.doi.org/10.3233/jad-200394.
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Background: Cerebrospinal fluid (CSF) provides insight into the spectrum of Alzheimer’s disease (AD) pathology. While lumbar punctures (LPs) for CSF collection are generally considered safe procedures, many participants remain hesitant to participate in research involving LPs. Objective: To explore factors associated with participant willingness to undergo a research LP at baseline and follow-up research study visit. Methods: We analyzed data from 700 participants with varying cognition (unimpaired, mild cognitive impairment, and dementia) in the Wisconsin Alzheimer’s Disease Research Center. We evaluated the relationship of demographic variables (age, sex, race, ethnicity, and years of education) and clinical variables (waist-to-hip ratio, body mass index, AD parental history, cognitive diagnosis) on decision to undergo baseline LP1. We evaluated the relationship of prior LP1 experience (procedure success and adverse events) with the decision to undergo follow-up LP2. The strongest predictors were incorporated into regression models. Results: Over half of eligible participants opted into both baseline and follow-up LP. Participants who underwent LP1 had higher mean education than those who declined (p = 0.020). White participants were more likely to choose to undergo LP1 (p < 0.001); 33% of African American participants opted in compared to 65% of white participants. Controlling for age, education, and AD parental history, race was the only significant predictor for LP1 participation. Controlling for LP1 mild adverse events, successful LP1 predicted LP2 participation. Conclusion: Race was the most important predictor of baseline LP participation, and successful prior LP was the most important predictor of follow-up LP participation.
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de Man, Anton F. "Familial Factors and Relative Weight in Children." Psychology and Human Development: an international journal 2, no. 1 (March 1, 1988): 27–33. http://dx.doi.org/10.2224/sbp.6422.
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Ninety-five French-Canadian children and their parents took part in this study of the relationship between selected familial variables and children's relative weight. Results of a backstep regression analysis showed that socioeconomic status was the best single predictor for girls, whereas maternal rejection/hostility, duration of breast-feeding, and socioeconomic status were significant predictors for boys.
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Daley, Tamara C., Shannon E. Whaley, Marian D. Sigman, Donald Guthrie, Charlotte G. Neumann, and Nimrod Bwibo. "Background and classroom correlates of child achievement, cognitive, and behavioural outcomes in rural Kenyan schoolchildren." International Journal of Behavioral Development 29, no. 5 (September 2005): 399–408. http://dx.doi.org/10.1177/01650250500172780.
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In the current study, background data (sex, age, and SES) and classroom factors were examined as predictors of scholastic achievement and child cognitive and behavioural outcomes in a group of rural Kenyan schoolchildren during their first year of formal schooling. Previous research in this area has provided mixed results regarding the characteristics of children and school environments that best predict optimal outcomes for children. This study extended previous research through the use of multiple culturally grounded predictor and outcome variables; in addition to using observational techniques to assess the classroom environment, this study examined cognitive, academic, and behavioural measures. Results suggested that while background factors such as child age and SES are important predictors of child outcomes, inclusion of classroom factors significantly improved prediction for all types of child outcomes, and the addition of behaviour as a predictor shows an even greater effect. The largest effect was seen for the outcome variables most closely tied to classroom activities.
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Jin, Yinxing, Kees de Bot, and Merel C. J. Keijzer. "Factors associated with foreign language anxiety." Dutch Journal of Applied Linguistics 4, no. 1 (August 17, 2015): 67–85. http://dx.doi.org/10.1075/dujal.4.1.07jin.
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This paper reports a study that investigates and compares the effects of foreign language proficiency, social status of a learner’s family, self-esteem, and competitiveness on FL anxiety. Chinese university students (N = 146), who were learning Japanese and English, participated in this study. Social status data were collected once with the Social Status Scale. Other variables were measured twice over a two-month interval, using the Competitiveness Index, the Self-esteem Scale, the English/Japanese Classroom Anxiety Scale, and the English/Japanese Proficiency Scale. Results showed that foreign language proficiency, competitiveness, and self-esteem all significantly predicted foreign language anxiety levels. Foreign language proficiency was the best predictor, followed by self-esteem, then competitiveness. A negative relationship was revealed between these predictor variables and foreign language anxiety. Social status was not related to foreign language anxiety, either directly or indirectly.
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Dirzyte, Aiste, Aivaras Vijaikis, Aidas Perminas, Romualda Rimasiute-Knabikiene, Lukas Kaminskis, and Giedrius Zebrauskas. "Computer Programming E-Learners’ Personality Traits, Self-Reported Cognitive Abilities, and Learning Motivating Factors." Brain Sciences 11, no. 9 (September 13, 2021): 1205. http://dx.doi.org/10.3390/brainsci11091205.
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Educational systems around the world encourage students to engage in programming activities, but programming learning is one of the most challenging learning tasks. Thus, it was significant to explore the factors related to programming learning. This study aimed to identify computer programming e-learners’ personality traits, self-reported cognitive abilities and learning motivating factors in comparison with other e-learners. We applied a learning motivating factors questionnaire, the Big Five Inventory—2, and the SRMCA instruments. The sample consisted of 444 e-learners, including 189 computer programming e-learners, the mean age was 25.19 years. It was found that computer programming e-learners demonstrated significantly lower scores of extraversion, and significantly lower scores of motivating factors of individual attitude and expectation, reward and recognition, and punishment. No significant differences were found in the scores of self-reported cognitive abilities between the groups. In the group of computer programming e-learners, extraversion was a significant predictor of individual attitude and expectation; conscientiousness and extraversion were significant predictors of challenging goals; extraversion and agreeableness were significant predictors of clear direction; open-mindedness was a significant predictor of a diminished motivating factor of punishment; negative emotionality was a significant predictor of social pressure and competition; comprehension-knowledge was a significant predictor of individual attitude and expectation; fluid reasoning and comprehension-knowledge were significant predictors of challenging goals; comprehension-knowledge was a significant predictor of clear direction; and visual processing was a significant predictor of social pressure and competition. The SEM analysis demonstrated that personality traits (namely, extraversion, conscientiousness, and reverted negative emotionality) statistically significantly predict learning motivating factors (namely, individual attitude and expectation, and clear direction), but the impact of self-reported cognitive abilities in the model was negligible in both groups of participants and non-participants of e-learning based computer programming courses; χ² (34) = 51.992, p = 0.025; CFI = 0.982; TLI = 0.970; NFI = 0.950; RMSEA = 0.051 [0.019–0.078]; SRMR = 0.038. However, as this study applied self-reported measures, we strongly suggest applying neurocognitive methods in future research.
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Saulnier, Pierre-Jean, Elise Gand, Stéphanie Ragot, Lise Bankir, Xavier Piguel, Frédéric Fumeron, Vincent Rigalleau, et al. "Urinary Sodium Concentration Is an Independent Predictor of All-Cause and Cardiovascular Mortality in a Type 2 Diabetes Cohort Population." Journal of Diabetes Research 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/5327352.
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Objective.Sodium intake is associated with cardiovascular outcomes. However, no study has specifically reported an association between cardiovascular mortality and urinary sodium concentration (UNa). We examined the association ofUNawith mortality in a cohort of type 2 diabetes (T2D) patients.Methods. Patients were followed for all-cause death and cardiovascular death. BaselineUNawas measured from second morning spot urinary sample. We used Cox proportional hazard models to identify independent predictors of mortality. Improvement in prediction of mortality by the addition ofUNato a model including known risk factors was assessed by the relative integrated discrimination improvement (rIDI) index.Results. Participants (n=1,439) were followed for a median of 5.7 years, during which 254 cardiovascular deaths and 429 all-cause deaths were recorded.UNaindependently predicted all-cause and cardiovascular mortality. An increase of one standard deviation ofUNawas associated with a decrease of 21% of all-cause mortality and 22% of cardiovascular mortality.UNaimproved all-cause and cardiovascular mortality prediction beyond identified risk factors (rIDI = 2.8%,P=0.04and rIDI = 4.6%,P=0.02, resp.).Conclusions. In T2D,UNawas an independent predictor of mortality (low concentration is associated with increased risk) and improved modestly its prediction in addition to traditional risk factors.
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Liu, Yu-Cheng, Shien-Ching Hwang, Yu-Feng Huang, Win-Li Lin, Yen-Jen Oyang, and Chien-Kang Huang. "SEQUENCE-BASED PREDICTION OF PROTEIN B-FACTORS WITH DUAL SUPERVIZED LEARNING MODELS." Biomedical Engineering: Applications, Basis and Communications 22, no. 05 (October 2010): 385–91. http://dx.doi.org/10.4015/s1016237210002146.
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The B-factor, which is also known as temperature factor or Debby–Waller factor, is an important structural flexibility index of the ground-state protein conformation. In particular, the B-factors associated with a segment of residues, reflect the local flexibility of the corresponding protein tertiary substructure. Recent studies have shown that, for certain families of proteins, there exists a high-degree of correlation between the B-factors and the protein functional sites, including antigenic regions, enzyme active sites, and nucleotide binding sites. This paper presents a sequence–based predictor of B-factors with a dual-model approach. The design of the dual-model approach has been aimed at exploiting the bi-modal distribution of B-factors in order to achieve higher prediction accuracy. In this paper, the prediction accuracy is measured by Pearson correlation coefficient. Experimental results show that the dual-model predictor proposed in this article is capable of delivering superior correlation coefficient in comparison with two predictors reported in two latest papers. Though experimental results show that the dual-model proposed in this paper really works more effectively than the conventional approach, it is of interest to continue investigating more advanced designs since there exists a strong correlation between B-factors and protein functional sites. In this respect, identifying additional physiochemical properties that are related to structural flexibility deserves a high-degree of attention.
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De Araujo, L. A., L. M. Ito, and I. M. Marks. "Early Compliance and Other Factors Predicting Outcome of Exposure for Obsessive–Compulsive Disorder." British Journal of Psychiatry 169, no. 6 (December 1996): 747–52. http://dx.doi.org/10.1192/bjp.169.6.747.
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BackgroundIdentifying predictors of treatment outcome can suggest ways to improve treatment delivery and understanding of its mechanism of action.MethodPredictors of treatment outcome were sought among 46 out-patients with obsessive–compulsive disorder who completed a nine-week randomised controlled trial of two forms of exposure therapy with ritual prevention.ResultsIn both exposure conditions the best predictor of good outcome at the end of treatment (week 9) and of follow-up (week 32) was early compliance in doing exposure homework within a week of starting treatment. A weaker predictor of good outcome at follow-up was within-session reduction in anxiety from weeks 0 to 4.ConclusionThe strongest and most consistent predictor of better outcome to weeks 9 and 32 was compliance with exposure and ritual prevention in the first week of treatment.
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Couturaud, Francis, Christophe Leroyer, Cecile Tromeur, Jim A. Julian, Susan R. Kahn, Jeffrey S. Ginsberg, Philip S. Wells, James D. Douketis, Dominique Mottier, and Clive Kearon. "Factors that predict thrombosis in relatives of patients with venous thromboembolism." Blood 124, no. 13 (September 25, 2014): 2124–30. http://dx.doi.org/10.1182/blood-2014-03-559757.
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Key PointsUnprovoked venous thromboembolism (VTE) and VTE at young age are independent predictors of VTE in patient relatives. Factor V Leiden or the prothrombin 20210A gene variant in patients with VTE was not an independent predictor of VTE in patient relatives.
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Alenizi, Abdullah M., Roger Valdivieso, Emad Rajih, Malek Meskawi, Cristian Toarta, Marc Bienz, Mounsif Azizi, et al. "Factors predicting prolonged operative time for individual surgical steps of robot-assisted radical prostatectomy (RARP): A single surgeon’s experience." Canadian Urological Association Journal 9, no. 7-8 (July 17, 2015): 417. http://dx.doi.org/10.5489/cuaj.2805.
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Introduction: We evaluated the average time required to complete individual steps of robotic-assisted radical prostatectomy (RARP) by an expert RARP surgeon. The intent is to help establish a timebased benchmark to aim for during apprenticeship. In addition, we aimed to evaluate preoperative patient factors, which could prolong the operative time of these individual steps.Methods: We retrospectively identified 247 patients who underwent RARP, performed by an experienced robotic surgeon at our institution. Baseline patient characteristics and the duration of each step were recorded. Multivariate analysis was performed to predict factors of prolonged individual steps.Results: In multivariable analysis, obesity was a significant predictor of prolonged operative time of: docking (odds ratio [OR] 1.96), urethral division (OR 3.13), and vesico-urethral anastomosis (VUA) (OR 2.63). Prostate volume was also a significant predictor of longer operative time in dorsal vein complex ligation (OR 1.02), bladder neck division (OR 1.03), pedicle control (OR 1.04), urethral division (OR 1.02), and VUA (OR 1.03). A prolonged bladder neck division was predicted by the presence of a median lobe (OR 5.03). Only obesity (OR 2.56) and prostate volume (OR 1.04) were predictors of a longer overall operative time.Conclusions: Obesity and prostate volume are powerful predictors of longer overall operative time. Furthermore, both can predict prolonged time of several individual RARP steps. The presence of a median lobe is a strong predictor of a longer bladder neck division. These factors should be taken into consideration during RARP training.
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Sadłecki, Paweł, Jakub Jóźwicki, Paulina Antosik, and Małgorzata Walentowicz-Sadłecka. "Expression of Selected Epithelial-Mesenchymal Transition Transcription Factors in Endometrial Cancer." BioMed Research International 2020 (December 29, 2020): 1–13. http://dx.doi.org/10.1155/2020/4584250.
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Endometrial cancer (EC) is the most common gynecologic malignancy in developed countries. The aim of this study was to analyze the expression of SNAIL, SLUG, TWIST1, TWIST2, ZEB1, and ZEB 2 in primary tumor and the correlation with morphological and clinical characteristics of EC. The study included 158 patients with EC after surgical treatments: total hysterectomy and lymphadenectomy. The percentages of EC specimens testing positively for the EMT transcription factors were 84.5% for SNAIL, 92.2% for SLUG, 10.9% for TWIST1, 100% for TWIST2, 89% for ZEB1, and 98% for ZEB2. The expression of SLUG in patients with FIGO stage III or IV, type II EC, myometrial invasion ≥ 50 % of the uterine wall thickness, and adnexal involvement and in patients with distant metastases was significantly higher. SLUG and ZEB2 expressions were identified as significant predictors of higher FIGO stages (III or IV) on univariate analysis. The overexpression of SLUG was a significant predictor of more aggressive type II EC, myometrial invasion ≥ 50 % of the uterine wall thickness, and distant metastases on both univariate and multivariate analysis. Moreover, the overexpression of SLUG and ZEB2 was shown to be significant predictors of adnexal involvement on univariate analysis. ZEB 2 overexpression was identified in multivariate analysis as another independent predictor associated with a lesser likelihood of type II EC. Both univariate and multivariate analyses demonstrated that SLUG expression was the only predictor of 5-year survival in the study group. The overexpression of SLUG was associated with a significant increase in mortality hazard on univariate analysis and was shown to be a highly significant predictor of death on multivariate analysis. Conclusions. Selected proteins of the EMT pathway play a role in endometrial carcinogenesis; SLUG and ZEB2 expressions in the primary tumor might predict clinical outcomes in EC and drive therapeutic decisions regarding adjuvant treatment in patients with this malignancy.
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Steil, Janice M., and Jennifer L. Hay. "Social Comparison in the Workplace: A Study of 60 Dual-Career Couples." Personality and Social Psychology Bulletin 23, no. 4 (April 1997): 427–38. http://dx.doi.org/10.1177/0146167297234008.
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This study assessed the extent to which job factors (income, prestige, and gender integration), family factors (earnings relative to spouse, parental status), work goals, and personality attributes predicted men's and women's social comparisons and perceptions of faring at work. Respondents were 60 men and 60 women in high-achieving, somewhat male-dominated positions. Men reported more same-sex and fewer cross-sex comparisons than women did. Overall, however, almost half of the respondents said they compared predominantly with others of both sexes. There was no relationship between sex of comparison other and comparison direction. The best predictors of sex of comparison were respondent sex and income. The best predictor of comparison direction was parental status. Autonomy, dominance, and achievement striving was the best predictor of perceptions of work faring.
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Gómez-García, Rogelio, Margarita Alonso-Sangregorio, and María L. Llamazares-Sánchez. "Burnout in social workers and socio-demographic factors." Journal of Social Work 20, no. 4 (March 21, 2019): 463–82. http://dx.doi.org/10.1177/1468017319837886.
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Summary The objectives of this study were to estimate the prevalence of burnout syndrome in a sample of Spanish social workers and analyse the influence of a series of socio-demographic variables that may potentially be related to the appearance and development of one of the three dimensions of burnout. A total of 947 Spanish social workers participated in the study. Findings 33.2% and 22.1 of Spanish social workers experienced high levels of emotional exhaustion and depersonalisation, and 54.2% experienced low personal accomplishment at work. The hierarchical regression analysis showed that having been on sick leave in the preceding year was the most important predictor of emotional exhaustion. Moreover, full-time employment status was the most robust predictor of depersonalisation, and professional activity in specialised social services was the main predictor of personal accomplishment. The low percentages of total variance explained imply that although certain socio-demographic characteristics are significant predictors, their effects are very small. Applications Public and private organisations devoted to social services should be aware of the need to prevent this type of psychosocial risk to which social workers are exposed every day. This would help improve the health and quality of their lives as well as reduce the high costs which frequent worker turnover and sick leave entail, and would also enhance the effectiveness of the services provided.
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Koritsas, Stella, Malcolm Boyle, and Jan Coles. "Factors Associated with Workplace Violence in Paramedics." Prehospital and Disaster Medicine 24, no. 5 (October 2009): 417–21. http://dx.doi.org/10.1017/s1049023x0000724x.
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AbstractIntroduction:The majority of research that has explored workplace violence has focused on establishing the prevalence of violence in different settings. In general, there is a paucity of research that explores factors that may predict or increase the risk of experiencing violence in the workplace.Objective:The aim of this research was to determine predictors of violence for paramedics.Methods:A questionnaire was developed that focused on paramedics' experi-ences with six forms of violence: verbal abuse, property damage/theft, intimi-dation, physical abuse, sexual harassment, and sexual assault.The questionnaire was distributed randomly to paramedics throughout rural Victoria and metropolitan South Australia, and completed and returned anonymously.Results:Predictors emerged for verbal abuse, intimidation, sexual harassment, and sexual abuse. Specifically, gender was the only predictor of intimidation, sexual harassment, and sexual assault. Paramedic qualifications, how they responded to a call-out, and hours per week in direct patient contact emerged as a predictor of verbal abuse.Conclusions:Certain factors predict or predispose paramedics to workplace violence. The need for workplace violence education and training is impera-tive for the prevention of violence, as well as for its management.
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Jones, Jacob A. "Risk Factors for Alcohol Abuse Among College Athletes." Journal of Clinical Sport Psychology 9, no. 1 (March 2015): 76–96. http://dx.doi.org/10.1123/jcsp.2015-0006.
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Self-concept theory was used as a theoretical basis to investigate the utility of social norms alcohol prevention programs for college athletes. The predictive relationship among alcohol use and athletic identity, competitiveness, drinking game participation, and level of sport participation was investigated. Drinking game participation was found to be a significant predictor of total weekly alcohol use above and beyond the other predictors. In addition, organized recreational sport participation was a significant predictor of total binge-drinking episodes. It was demonstrated that individuals not currently participating in sports with an athletic identity in the same range as current athletes consumed alcohol at similar rates to current athletes, thus supporting athletic identity as an alternative way of classifying athlete status when studying alcohol consumption patterns. These results highlight the importance of drinking game participation in the alcohol use of college athletes and the validity of applying self-concept theory to alcohol prevention programs.
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Tong, Doris, Frances Chung, and David Wong. "Predictive Factors in Global and Anesthesia Satisfaction in Ambulatory Surgical Patients." Anesthesiology 87, no. 4 (October 1, 1997): 856–64. http://dx.doi.org/10.1097/00000542-199710000-00020.
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Background Patient satisfaction is one of the variables that affect the outcome of health care and the use of health-care services. As more procedures are performed on an ambulatory basis, the role of the anesthesiologist becomes more important. To improve the delivery of care, the predictors of dissatisfaction with the entire process (global dissatisfaction) of ambulatory surgery and with anesthesia itself must be identified. The authors conducted a hypothesis-generating study to identify predictors; specifically, they hypothesized that satisfaction with anesthesia was a predictor of global satisfaction with ambulatory surgery and that 24-h postoperative symptoms were a predictor of satisfaction with anesthesia. Methods The authors prospectively studied 5,228 consecutive patients having surgery in the ambulatory setting during a 1-yr period. Preoperative, intraoperative, and postoperative variables were gathered and patient satisfaction was assessed using a postoperative telephone questionnaire administered 24 h after operation in 2,730 respondents. Significant univariate variables and clinically important variables were entered into multiple logistic regression models. Qualitative data on dissatisfaction were obtained by asking patients' reasons for dissatisfaction. Results Sixty-eight of the 2,730 respondents (2.5%) had global dissatisfaction with ambulatory surgery. Nine of these patients were dissatisfied with anesthesia. Dissatisfaction with anesthesia was associated with a 12-fold increase in global dissatisfaction (P = 0.0001). Thirty-one of the 2,730 respondents (1.1%) were dissatisfied with anesthesia. An increasing number of symptoms occurring 24 h after operation was associated with an exp(0.28 x N)-fold increase in dissatisfaction with anesthesia for N number of symptoms (P = 0.0001). Qualitative data showed that the most common reason for global dissatisfaction with ambulatory surgery was personal preference for inpatient care (26%), whereas intraoperative and postoperative adverse outcomes were the major causes of dissatisfaction with anesthesia (88%). Conclusions Dissatisfaction with anesthesia is a predictor of global dissatisfaction with ambulatory surgery. An increasing number of symptoms 24 h after operation is a predictor of dissatisfaction with anesthesia. The rate of global dissatisfaction and anesthesia dissatisfaction is very low. The predictors from this model need to be validated by a second data set from either this or another center. Given the low rate of dissatisfaction, a focused study testing specific interventions to improve patient satisfaction would be difficult.
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Haapasalo, H., Y. Collan, and N. B. Atkin. "Major prognostic factors in ovarian carcinomas." International Journal of Gynecologic Cancer 1, no. 4 (1991): 155–62. http://dx.doi.org/10.1046/j.1525-1438.1991.01040155.x.
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Prognostic variables predictive of survival in ovarian carcinoma were studied in 91 patients with stage I–IV disease. Univariate analysis showed that clinical stage (FIGO), presence of ascites, age of patient, histologic type and grade, cellular DNA content, morphometric grade, mitotic activity index, and volume corrected mitotic index (M/V index) were prognostic. Multivariate analysis using a Cox model showed that the stage (best predictor in total material), the M/V index (best predictor in stage I tumors), the DNA content (best predictor in advanced stages), and ascites were independently prognostic. Morphometry and/or DNA cytometry should be standard in the histo-pathological evaluation of ovarian carcinomas.
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Noveski, Lazo, Julija Zhivadinovik, and Niki Matveeva. "Prognostic factors of primary cutaneus melanoma." Medical review 67, no. 11-12 (2014): 392–98. http://dx.doi.org/10.2298/mpns1412392n.
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Introduction. The purpose of this study was to identify tumor characteristics of primary malignant melanoma predictive of sentinel lymph node positive status, and then to determine whether sentinel lymph node status has an impact on recurrence and survival. Material and Methods. A total of 100 patients with primary malignant skin melanoma were analyzed. The prospective melanoma database identified patients with histologically confirmed cutaneus melanoma, clinically negative and clinically positive regional lymph nodes with no evidence of distant disease, who had undergone surgery between April 2001 and May 2012. Univariate and multivariate analyses were performed to assess factors that predict sentinel lymph node positive status, recurrence and survival. Results. We identified Breslow?s thickness and lymphocytic response as independent predictors of sentinel lymph node status in cutaneous melanoma patients. Sentinel lymph node status was a significant predictor of disease free survival. Conclusion. Despite the limitation, this study confirms Breslow?s thickness and tumor lymphocytic infiltration as two factors predictive of sentinel lymph node metastasis in cutaneous melanoma patients. We also found sentinel lymph node status to be the most significant independent predictor of disease free survival and identified sentinel lymph node status as an important variable to consider when estimating the risk of regional recurrence.
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Çamveren, Hatice, and Gülseren Kocaman. "Factors Influencing a University Hospital Nurses’ Intentions to Leave the Unit, Organisation and Profession: A Cross-Sectional Study." Journal of Health Management 23, no. 2 (June 2021): 240–50. http://dx.doi.org/10.1177/09720634211011560.
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Nurses’ organisational and professional attitudes play an important role in their intent to leave nursing, a serious problem worldwide. The present study aimed to investigate the demographic and work-related characteristics, organisational-professional commitment, and job satisfaction, which are the predictors of nurses’ intent to leave their unit, organisation and profession. This cross-sectional descriptive study was conducted with 335 nurses working at a university hospital in Turkey. The multiple regression analysis was used to analyse the study data. While job satisfaction was the more powerful predictor of intent to leave the unit than were the commitment variables, affective commitment to the organisation was the more powerful predictor of intent to leave the organisation, and affective commitment to the profession was the more powerful predictor of intent to leave the profession. Different dimensions of commitment and job satisfaction are the predictors of intent to leave the unit, organisation and profession. The present study provided useful evidence for nurse managers and policy makers.
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Shaheen, Faiza, and Nasir Mahmood. "Burnout and its Predictors: Testing a Model Among Public School Teachers." 2020, VOL. 35, NO. 2 35, no. 2 (July 7, 2020): 355–72. http://dx.doi.org/10.33824/pjpr.2020.35.2.19.
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The present research assessed the predictors of burnout using a hypothesized model of burnout and its predictors. The sample of 1693 public school teachers from six districts of Punjab was employed. A self-developed instrument Emotional Burnout Scale (EBS; α = .81) was used for assessing burnout rate among teachers with its three dimensions, emotional exhaustion, depersonalization, and reduced personal accomplishment; also authors developed an Institutional Factors Measuring scale to measure predictors of burnout (α = .80). It comprised six school-related factors including personal, administrative, environmental, insecurities, material goods, and training. These factors, along with demographic variables like marital status, experience, qualification, job status, school level were used to predict the three dimensions of burnout. The results showed paths in predicted direction among proposed model; the personal factor strongly predicted emotional exhaustion whereas environmental factor was found to be a strong predictor for depersonalization and reduced personal accomplishment in teachers. Implications for practice are discussed.
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Whitley, E., R. Gerkin, A. Kontos, C. Quintana, B. Nalepa, and J. Pardini. "The Relation Between Cognitive Performance and Symptom Factors Following Concussion." Archives of Clinical Neuropsychology 34, no. 5 (July 2019): 764. http://dx.doi.org/10.1093/arclin/acz026.34.
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Abstract Purpose The purpose of this study was to explore if symptom factors are related to cognitive outcomes. Prior studies have examined the relationship of individual symptoms to cognition. However, the relation between empirically-derived symptom factors and cognitive outcomes has yet to be explored. Methods Data were extracted via retrospective chart review of 691 patients (aged 10–24, mean: 14.99±2.63). Participants completed ImPACT and the PCSS within 14 days of injury (mean: 9.27±3.37). Predictors were PCSS factor scores of Cognitive-Fatigue-Migraine (CFM), Affective (AFF), Somatic (SOM), and Sleep (SLP) (Kontos et al., 2012). Outcomes examined were ImPACT composite scores. Univariate analyses were performed and values with p < 0.10 were entered into stepwise linear regression (LR) models. Retained predictors in each LR model had p values <.05. Results Verbal memory was predicted by CFM, SOM, age, and gender. Visual memory was predicted by CFM and SOM. Visual motor speed was predicted by age, gender, CFM, SOM, and AFF. Reaction time was best predicted by SOM, CFM, and age. The variance explained was fairly small (0.08 to 0.21). SLP was not a significant predictor in any LR. Conclusion CFM and SOM factors were most predictive of lower cognitive performance, similar to prior studies linking dizziness to longer recovery and post-traumatic migraine to worse cognitive performance. These findings underscore the clinical importance of diverse symptom assessment and injury education. Higher CFM and SOM scores may also serve as proxy for injury severity, which we would expect to be associated with worse cognitive performance.
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Conde, Karina, and Mariana Cremonte. "Environmental stressors, socioeconomic factors, and alcohol-related problems among Argentinian college students." Salud mental 40, no. 4 (July 31, 2017): 157–64. http://dx.doi.org/10.17711/sm.0185-3325.2017.020.
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Introduction. The relationship between alcohol consumption, individual characteristics, and alcohol-related problems may vary according to environmental characteristics in certain populations. Objective. To explore the existence of a hierarchical structure in the links between environmental stressors, individual socioeconomic factors, regular alcohol consumption, use of other substances, and alcohol-related problems in Argentinian university students. Method. With a correlational design and data from a random sample of students from a public university (N = 1578, 58% female), we used a multilevel modeling strategy as follows: alcohol-related problems; regular alcohol consumption (quantity/frequency) as fixed effect, use of other psychoactive substances, sociodemographic factors (individual socioeconomic status, age, and gender); and environmental stressors as random effects (index of overcrowding as an indicator of poverty and reported crime as an indicator of violence in the neighborhood). Results. The rate of overcrowding proved to be the best Level 2 predictor for the alcohol-related problems model. Socioeconomic status, quantity and frequency of consumption, use of other substances, and age directly predicted alcohol-related problems (Level 1). Gender was neither a direct predictor nor a moderator of the links. Discussion and conclusion. At least one environmental stressor (neighborhood poverty) partly explains the variability observed in alcohol-related problems. The quantity and frequency of alcohol consumption and the use of other psychoactive substances were the strongest predictors of alcohol-related problems.
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Aral, Res Asst Neşe, Prof Dr Nuran Bayram, and Res Asst Mine Aydemir. "Predicting University Students’ Depression and Anxiety Level by Their Personality Characteristics." European Journal of Multidisciplinary Studies 5, no. 1 (May 19, 2017): 486. http://dx.doi.org/10.26417/ejms.v5i1.p486-486.
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The current study investigated the relationships among depression, anxiety and personality factors in university students (N = 462), who completed self-report measures of depression, anxiety and personality characteristics consistent (extroversion, conscientiousness, agreeableness, neuroticism, openness and negative valence). Analyses indicated that approximately 23 % of the variance in University Students’ depression level was accounted for by their levels of the personality factors. 36 % of the variance in University Students’ anxiety level was accounted for by their levels of the personality factors. Extroversion emerged as the strongest predictor. Openness and neuroticism were also significant and unique predictors of depression. On the other hand, neuroticism emerged as the strongest predictor. Openness, agreeableness and extroversion were also significant and unique predictors of anxiety.
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Stokes, Jeffery, Stephen Krashen, and John Kartchner. "Factors in the Acquisition of the Present Subjunctive in Spanish." ITL - International Journal of Applied Linguistics 121-122 (January 1, 1998): 19–25. http://dx.doi.org/10.1075/itl.121-122.02sto.
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Abstract University level students of Spanish were tested on their (acquired) competence in the subjunctive. Free reading in Spanish was a significant predictor of subjunctive competence, but length of residence in a Spanish-speaking country, formal study, and specific study of the subjunctive were not significant predictors. These results are consistent with previous research on free reading in English as a first and second language.
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Pavlovic, Ivan, Darko Plecas, Snezana Plesinac, Jelena Dotlic, and Nemanja Stojanovic. "Congenital anomalies: Occurrence and potential risk factors." Vojnosanitetski pregled 77, no. 3 (2020): 317–23. http://dx.doi.org/10.2298/vsp180320088p.
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Background/Aim: Congenital malformations still represent one of the most important causes of prenatal and infant death. The study goal was to analyze occurrence and outcomes of different types of congenital anomalies from the tertiary referral center during a ten-year period. Moreover, study aimed at examining potential predictors of congenital anomalies based on patients? characteristics and medical history data. Methods: Study included all pregnant women directed to Clinic of Obstetrics and Gynecology Clinical Center of Serbia due to prenatally diagnosed congenital fetal anomalies during past ten years. Upon admission to our clinic a detailed general medical and obstetrical history were taken from every patient. All women underwent genetic testing. Ultrasonography and magnetic resonance were diagnostic methods for fetal malformations confirmation. Results: Study included 773 pregnant women aged from 18 to 46 years. Out of registered nine different groups of fetal anomalies/malformations, the most common were malformations of the central nervous system, while majority of fetuses had combined multiple anomalies. Genetic cause for congenital anomalies was present in 25.2% of pregnancies. Medical pregnancy abortion was performed in 71.8% of cases. Only 10.2% of pregnancies ended in term. The best outcome for children was obtained in case of gastrointestinal anomalies (52% live-born). Contrary only one child with neck and thorax malformations could be saved. According to logistic regression the most important predictor of having a child with combined multiple anomalies was mother?s age, while predictor of central nervous system anomalies was gestational diabetes. The significant predictor of genetic anomalies was mother?s age. Conclusion: In our sample neurological congenital anomalies were the most common, although abnormalities of all organ systems were registered. Majority of pregnancies had to be discontinued due to combined multiple anomalies caused by genetic disorders. Older mother?s age and diabetes can imply on the increased risk for fetal malformations.
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Lawal, Sodiq, Michael J. Korenberg, Natalia Pittman, and Mihaela Mates. "Predicting Neutropenia Risk in Breast Cancer Patients from Pre- Chemotherapy Characteristics." Open Bioinformatics Journal 8, no. 1 (December 31, 2014): 16–21. http://dx.doi.org/10.2174/1875036201408010016.
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A previous study (Pittman, Hopman, Mates) of breast cancer patients undergoing curative chemotherapy (CT) found that the third most common reason for emergency department (ER) visits and hospital admission (HA) was febrile neutropenia. Factors associated with ER visits and HA included (1) stage of the cancer, (2) size of tumor, (3) adjuvant versus neo-adjuvant CT (“adjuvance”), and (4) number of CT cycles. We hypothesized that a statistically-significant predictor of neutropenia could be built based on some of these factors, so that risk of neutropenia predicted for a patient feeling unwell during CT could be used in weighing need to visit the ER. The number of CT cycles was not used as a factor so that the predictor could calculate the neutropenia risk for a patient before the first CT cycle. Different models were built corresponding to different pre-chemotherapy factors or combinations of factors. The single factor yielding the best classification accuracy was tumor size (Mathews’ correlation coefficient φ = +0.18, Fisher’s exact two-tailed probability P < 0.0374). The odds ratio of developing febrile neutropenia for the predicted high-risk group compared to the predicted low-risk group was 5.1875. Combining tumor size with adjuvance yielded a slightly more accurate predictor (Mathews’ correlation coefficient φ = +0.19, Fisher’s exact two-tailed probability P < 0.0331, odds ratio = 5.5093). Based on the observed odds ratios, we conclude that a simple predictor of neutropenia may have value in deciding whether to recommend an ER visit. The predictor is sufficiently fast that it can run conveniently as an Applet on a mobile computing device.
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Buri, Aline, Carmen Cianfrani, Eric Pinto-Figueroa, Erika Yashiro, Jorge E. Spangenberg, Thierry Adatte, Eric Verrecchia, Antoine Guisan, and Jean-Nicolas Pradervand. "Soil factors improve predictions of plant species distribution in a mountain environment." Progress in Physical Geography: Earth and Environment 41, no. 6 (October 31, 2017): 703–22. http://dx.doi.org/10.1177/0309133317738162.
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Explanatory studies suggest that using very high resolution (VHR, 1–5 m resolution) topo-climatic predictors may improve the predictive power of plant species distribution models (SDMs). However, the use of VHR topo-climatic data alone was recently shown not to significantly improve SDM predictions. This suggests that new ecologically-meaningful VHR variables based on more direct field measurements are needed, especially since non topo-climatic variables, such as soil parameters, are important for plants. In this study, we investigated the effects of adding mapped VHR predictors at a 5 m resolution, including field measurements of temperature, carbon isotope composition of soil organic matter (δ13CSOM values) and soil pH, to topo-climatic predictors in SDMs for the Swiss Alps. We used data from field temperature loggers to construct temperature maps, and we modelled the geographic variation in δ13CSOM and soil pH values. We then tested the effect of adding these VHR mapped variables as predictors into 154 plant SDMs and assessed the improvement in spatial predictions across the study area. Our results demonstrate that the use of VHR predictors based on more proximal field measurements, particularly soil parameters, can significantly increase the predictive power of models. Predicted soil pH was the second most important predictor after temperature, and predicted δ13CSOM was fourth. The greatest increase in model performance was for species found at high elevation (i.e. 1500–2000 m a.s.l.). Addition of predicted soil factors thus allowed better capturing of plant requirements in our models, showing that these can explain species distributions in ways complementary to topo-climatic variables. Modelling techniques to generalize edaphic information in space and then predict plant species distributions revealed a great potential in complex landscapes such as the mountain region considered in this study.
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Brecht, April A., and Dana D. Burnett. "Advising Student-Athletes for Success: Predicting the Academic Success and Persistence of Collegiate Student-Athletes." NACADA Journal 39, no. 1 (July 1, 2019): 49–59. http://dx.doi.org/10.12930/nacada-17-044.
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Stakeholders at institutions across the United States are continuously looking for ways to improve the academic success and retention of students. We used logistical regression in an examination of noncognitive, cognitive, and demographic factors as predictors of academic success and retention of Division I first-year student-athletes. The results indicated that high school GPA is the best predictor for academic success. The Transition to College Inventory index, self-confidence, institutional commitment, and independent activity focus can be used in the prediction of academic success. Retention was most accurately predicted by students' first-year cumulative GPA. University advisors can use the results of this study to enhance the resources designed to improve the academic performance and persistence of student-athletes.
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Gokalp, O., B. Eygi, Y. Besir, L. Yilik, I. Yurekli, and A. Gurbuz. "Predictor Factors for Mortality in Hybrid Aortic Procedures." European Journal of Vascular and Endovascular Surgery 48, no. 1 (July 2014): 109. http://dx.doi.org/10.1016/j.ejvs.2014.04.021.
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Lipfert, F. W., S. Cohen, L. R. Dupuis, and J. Peters. "Relative humidity predictor equations based on environmental factors." Atmospheric Environment. Part B. Urban Atmosphere 25, no. 3 (January 1991): 435–41. http://dx.doi.org/10.1016/0957-1272(91)90015-7.
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Jensen, Derek, Stefan Graw, Sida Niu, Vassili Glazyrine, Devin Koestler, and Eugene K. Lee. "Preoperative risk factors predicting postoperative complications in radical cystectomy for bladder cancer." Journal of Clinical Oncology 35, no. 6_suppl (February 20, 2017): 395. http://dx.doi.org/10.1200/jco.2017.35.6_suppl.395.
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395 Background: Radical cystectomy is an extensive operation with complications reported in up to 30.5% of patients. High complication rates contribute to increased costs, patient morbidity and mortality. Accurate prospective predictions of patients’ risk for post−surgical complications have the potential to identify at risk patients. Risk estimators have been developed but often involve an extensive number of factors or produce expansive results that are not clinically useful. Methods: 330 patients who underwent radical cystectomy for bladder cancer from January 2008 to July 2014 were included in this study. Potential preoperative risk predictors were collected from medical history, TURBT pathology, preoperative labs, proposed procedure type, and prior treatments. Postoperative complications were graded using the Clavien−Dindo scale. Multivariate logistic regression models were used to predict post−operative complications. Accuracy of prediction models was assessed using the area under the receiver operating characteristic curve. Results: Of the potential preoperative risk factors, 5, 10 and 16 unique predictors along with two way interactions were determined to have strong association with 90 day postoperative complications, yielding an AUC of 0.69, 0.79 and 0.91 respectively. Conclusions: Our findings suggest routinely collected preoperative patient−level clinical variables may be useful for determining patient risk for short−term postoperative complications. The flexibility in our prediction model for the number of predictor inputs allow users to tailor the degree of risk assessment based on a patient’s baseline heath status. A simple and accessible prediction model with selective predictors may help identify at risk patients for patient education, counseling and development of risk reduction strategies.
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Umapathy, P., G. Ashok Swaminathan, M. Fathima Farshana, and M. Devagi. "A study of predictive factors of malignancy in thyroid nodules." International Surgery Journal 5, no. 12 (November 28, 2018): 3817. http://dx.doi.org/10.18203/2349-2902.isj20184712.
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Background: Thyroid nodule is a common presentation and requires structured diagnostic approach to ascertain the risk of malignancy and determine appropriate management. The aims of this randomized study is to evaluate potentiate role of thyroglobulin (Tg), thyroid stimulating hormone (TSH), and size of nodule as preoperative indicators of primary well differentiated thyroid cancer (WDTC).Methods: This is a retrospective Study of 70 cases of colorectal carcinoma analysing incidence, clinicopathological features and outcome after different therapies including surgery, radiotherapy and chemotherapy.Results: Preoperative Tg with cut-off >36 ng/ml is a significant predictor of malignancy. Anti-Tg Ab with cut-off of 3 IU/ml along with TSH are independent predictors of malignancy.Conclusions: FNAC and Frozen section study has specificity of 67 and 75% and sensitivity of 74 and 80%, respectively. Accuracy of FNAC and frozen section study are 71 and 73%, respectively and preoperative thyroglobulin (Tg) with cut-off >36 ng/ml is a significant predictor of malignancy.
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Spasojevic Brkic, Vesna, and Branislav Tomic. "Employees factors importance in Lean Six Sigma concept." TQM Journal 28, no. 5 (August 8, 2016): 774–85. http://dx.doi.org/10.1108/tqm-10-2015-0131.
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Purpose – Lean management and Six Sigma concepts are derived from two different points of view, but it is evident that the role of employees is crucial in both concepts. The purpose of this paper is to survey which employees’ behaviour dimensions can lead organization to better concepts integration and how Lean Six Sigma activity contributes to employees’ performance. Design/methodology/approach – Research methodology is designed to empirically check, on large sample of companies in multinational company supply chain, if employees’ factors are both predictor and response variables of Lean Six Sigma concept. To check stated hypothesis factor, reliability and multiple regression analysis are used. Findings – The first finding of this study is that reward system and training are significant predictors of Lean Six Sigma activities. The second part of findings shows that Lean Six Sigma dimensions, such as Define, Measure, Analyze, Improve, and Control/Define, Measure, Analyze, Design, and Validate, 5S and Kanban positively influences employees’ performance, described by employee satisfaction, absenteeism, salaries and benefits, employees’ commitment and employee turnover rate. Research limitations/implications – Poka-Yoke application is not found as a significant predictor of employees’ performance. Accordingly, to explore that interesting finding, possible future research topic is more detailed analysis of Poka-Yoke application in similar supply chains. A longitudinal analysis using structural equation is possible direction of future work, too. Practical implications – This survey answers the need for Lean and Six Sigma unified methodology achievement in soft factors area and gives applicable results for companies in supply chain that produces low-volume, high-complexity products. Originality/value – Original and valuable conclusion is that employees’ factors are both predictor and response variables of Lean Six Sigma concept application.
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Artiles, Alfredo J., Zenaida Aguirre-Muñoz, and Jamal Abedi. "Predicting Placement in Learning Disabilities Programs: Do Predictors Vary by Ethnic Group?" Exceptional Children 64, no. 4 (June 1998): 543–59. http://dx.doi.org/10.1177/001440299806400409.
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Notwithstanding the historical persistence of the disproportionate representation of ethnic minority students in special education, there is a scarcity of research on factors affecting the placement of minority students in these programs. The purpose of this study was to identify placement predictors in learning disabilities (LD) programs for Latino, African-American, and Anglo students. We used 12 predictor variables from two key domains (student and family) and used placement data from a national database of eighth-grade students. We found that although some factors predicted placement in LD programs for all ethnic groups, placement predictors also varied by student ethnicity. Based on these findings, we provide implications for research and practice from a sociocultural perspective.
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Håheim, Lise Lund, Per Nafstad, Per E. Schwarze, Ingar Olsen, Kjersti S. Rønningen, and Dag S. Thelle. "Oral health and cardiovascular disease risk factors and mortality of cerebral haemorrhage, cerebral infarction and unspecified stroke in elderly men: A prospective cohort study." Scandinavian Journal of Public Health 48, no. 7 (December 8, 2019): 762–69. http://dx.doi.org/10.1177/1403494819879351.
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Background: Stroke mortality comprises different specific diagnoses as cerebral infarction, different haemorrhagic conditions and unspecified stroke. This study seeks to explore the prediction of oral health indicators versus known cardiovascular disease risk factors for stroke mortality. Methods: Altogether, 12,764 men aged 58 to 77 years were invited to the health screening Oslo II in the year 2000. It included general medical measurements and questionnaire information. Mortality data were supplied by Statistics Norway for the 6530 attending men. Cox proportional hazards regression analyses were used to establish prediction models for mortality. Results: Oral health by number of tooth extractions >10 was found to be an independent predictor for cerebral infarction hazard ratio = 2.92, 95% confidence interval (1.24–6.89). This was independent of HDL-Cholesterol (inversely) hazard ratio = 0.21, 95% confidence interval (0.06–0.76), frequent alcohol consumption (drinking 4–7 times per week) hazard ratio = 3.58, 95% confidence interval (1.40–9.13) and diabetes hazard ratio = 4.28, 95% confidence interval (1.68–10.89). Predictors for cerebral haemorrhage were age, hs-C-reactive protein and body mass index (inversely). Age and total cholesterol (inversely) were predictors for unspecified stroke. Conclusions: Oral health measured by number of tooth extractions >10 was an independent predictor for cerebral infarction in addition to age, HDL-C, hs-C-reactive protein and diabetes. The pattern of risk factors varied between the specific stroke diagnoses.
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Ras, Jaron, and Lloyd Leach. "Predicting coronary artery disease risk in firefighters – a cross-sectional study." F1000Research 10 (July 30, 2021): 701. http://dx.doi.org/10.12688/f1000research.54219.1.
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Background: Firefighters are placed under severe cardiovascular load in performing active duty and, when carrying various coronary artery disease (CAD) risk factors, firefighters are predisposed to significant morbidity and mortality. Reducing the incidence of these risk factors is paramount. The purpose of this study is to determine the predictors of CAD risk. Methods: This study used a quantitative, cross-sectional and correlational design. The researchers conveniently sampled 124 full-time firefighters from the City of Cape Town Fire and Rescue Service. A researcher-generated questionnaire was used to collect sociodemographic and CAD risk factors information, such as age, gender, ethnicity, family history of CAD, cigarette smoking and physical activity levels, and all research procedures were conducted according to the American College of Sports Medicine guidelines. Data collection took place between September and November 2019. Linear and logistic regression were used to determine the relationship between the various CAD risk factors and the predictors of CAD risk. Results: Age was a significant predictor of hypertension (p <0.01), dyslipidemia (p <0.01), diabetes (p <0.01), obesity (p <0.01) and central obesity (p <0.01). Gender was a significant predictor of obesity, central obesity and cigarette smoking (p <0.05). Waist circumference was a significant predictor of hypertension (p <0.01), dyslipidemia (p <0.01) and diabetes (p <0.05). Conclusion: Age was a significant predictor of various modifiable CAD risk factors, including obesity, in both genders and all ethnicities. Attentive monitoring should be in place as firefighters age, along with behavioural modifications designed to reduce age-related increases in CAD risk factors.
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Amare, Selamawit, Eddy Langendoen, Saskia Keesstra, Martine Ploeg, Habtamu Gelagay, Hanibal Lemma, and Sjoerd Zee. "Susceptibility to Gully Erosion: Applying Random Forest (RF) and Frequency Ratio (FR) Approaches to a Small Catchment in Ethiopia." Water 13, no. 2 (January 18, 2021): 216. http://dx.doi.org/10.3390/w13020216.
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Soil erosion by gullies in Ethiopia is causing environmental and socioeconomic problems. A sound soil and water management plan requires accurately predicted gully erosion hotspot areas. Hence, this study develops a gully erosion susceptibility map (GESM) using frequency ratio (FR) and random forest (RF) algorithms. A total of 56 gullies were surveyed, and their extents were derived by digitizing Google Earth imagery. Literature review and a multicollinearity test resulted in 14 environmental variables for the final analysis. Model prediction potential was evaluated using the area under the curve (AUC) method. Results showed that the best prediction accuracy using the FR and RF models was obtained by using the top four most important gully predictor factors: drainage density, elevation, land use, and groundwater table. The notion that the groundwater table is one of the most important gully predictor factors in Ethiopia is a novel and significant quantifiable finding and is critical to the design of effective watershed management plans. Results from separate variable importance analyses showed land cover for Nitisols and drainage density for Vertisols as leading factors determining gully locations. Factors such as texture, stream power index, convergence index, slope length, and plan and profile curvatures were found to have little significance for gully formation in the studied catchment.
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Walsh, Ian, Tomás Di Domenico, and Silvio C. E. Tosatto. "RUBI: rapid proteomic-scale prediction of lysine ubiquitination and factors influencing predictor performance." Amino Acids 46, no. 4 (December 23, 2013): 853–62. http://dx.doi.org/10.1007/s00726-013-1645-3.
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Kamarudin, Syafila, and Siti Zobidah Omar. "Faktor Peramal Penerimaan Perkhidmatan e-Kerajaan." Jurnal Komunikasi: Malaysian Journal of Communication 37, no. 1 (March 31, 2021): 1–27. http://dx.doi.org/10.17576/jkmjc-2021-3701-01.
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Predictor Factors Towards Acceptance of e-Government Services ABSTRACT The e-government application was developed to change the way the government operates in the online service delivery system. Thus, this study focused on one of the e-government platforms namely, the MyEG application. This study was aimed to determine the predictor factors that influence consumers’ acceptance using the MyEG application. The framework consisted of four main predictors namely, social influence, performance expectancy, effort expectancy and facilitating conditions, while the dependent variable was the acceptance of MyEG application. A quantitative approach was adopted, by using a questionnaire survey. A total of 396 MyEG application users in the Klang Valley were selected to participate in the survey. The data collected were analyzed using SPSS version 22. Two sampling techniques were used; simple random and purposive. Two statistics procedures were used; descriptive and inferential. The results displayed that the level of acceptance towards the MyEG application was at a moderate level. The Pearson correlation test also revealed a positive and significant correlation between performance expectancy, effort expectancy, facilities condition and social influences to the acceptance of MyEG application. The analysis showed that users had accepted the MyEG application because it was emphasized the predictor factors. Moreover, the multi regression test found that performance expectancy, facilities conditions, social influences and effort expectancy were among the variables that predicted the acceptance of the MyEG application. However, the overall result showed that performance expectancy was a major factor that contributed to the acceptance of the MyEG application among users. Keywords: e-government, online services, application, predictor factor, acceptance.
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Oladimeji, Olafare Festus, Boor Charity Mwuese, Taiwo Oyeladun Mary, and Adeyanju Lawrence Olugbade. "Cultural And School Factors As Predictors Of Mathematics Teachers’ Use Of Information And Communication Technology (ICT) For Instruction In Ogun State." Journal of Educational Science and Technology (EST) 5, no. 2 (August 31, 2019): 153. http://dx.doi.org/10.26858/est.v5i2.9310.
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This study aims to find out if culture and school factors serve as predictors of mathematics teachers’ use of information and communication technology for instruction in secondary school. The sample for this study comprises 171 secondary schools’ teachers from 17 government-owned secondary schools in Ogun State, Nigeria. Data were collected through a questionnaire. The result shows that culture does not serve as a predictor of mathematics teachers’ use of ICT for teaching but school factors serve as a predictor of mathematics teachers’ use of ICT for teaching. It was also discovered that there was no significant relationship between culture and school factors as predictors of mathematics teachers’ use of ICT for teaching. Based on these findings, it was concluded that the obtainability of ICT facilities and other factors in school is important to mathematics teaching..
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Guy, Sybille M., Gene M. Smith, and P. M. Bentler. "Consequences of Adolescent Drug Use and Personality Factors on Adult Drug Use." Journal of Drug Education 24, no. 2 (June 1994): 109–32. http://dx.doi.org/10.2190/x4wu-bv3x-q483-y5bt.
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This study examined the stability of adolescent drug use into young adulthood and explored the possible influence of personality on adolescent and adult drug use. Participants in this longitudinal study ( N = 640) completed questionnaires which assessed multiple indicators for latent constructs of tobacco, alcohol, cannabis, and hard drugs, and also for the personality constructs of Socialization. In addition, the effects of obedience and extraversion were examined. Results showed that a general drug use factor in adolescence significantly predicted young adult drug use. A particular effect of adolescent obedience on adult drug use was noted. Within adolescence, obedience, extraversion, and the construct of Socialization were significant predictors of drug use. Early onset of smoking predicted adolescent drug use. The implications of these findings for early drug use education and intervention are discussed. Additional analysis explored the possibility of treating obedience as another indicator of Socialization. This model could not provide as good a fit as the original model. The measure of obedience acted as a better predictor of drug use than an overall factor of Socialization. Gender differences are discussed.
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Pereles, L., J. Peitchinis, E. Jennings, and T. Fung. "Predictors of Community Discharge from a Geriatric Assessment and Rehabilitation Unit." Canadian Journal on Aging / La Revue canadienne du vieillissement 13, no. 1 (1994): 41–50. http://dx.doi.org/10.1017/s0714980800006541.
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ABSTRACTThis study explored admission factors which predicted the successful return to the community of patients entering a Geriatric Assessment and Rehabilitation Program (GARP). A stepwise logistic regression technique was used to determine predictive factors from a consecutive sample of 100 medical or surgical geriatric patients admitted for a four to six week rehabilitation program. The significant independent predictors of discharge which could be determined at the time of admission were ability to safely medicate, admission from the community, GDS score and the number of supports. The ability to safely medicate may be an important but under-utilized predictor.
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Pratt, Charlotte A., Gerald W. McLaughlin, and Clark Gaylord. "A Multivariate Analysis of Weight-Loss Behavior." Psychological Reports 71, no. 3_suppl (December 1992): 1075–84. http://dx.doi.org/10.2466/pr0.1992.71.3f.1075.
Full textAbstract:
This study used a theoretical framework with multiple variables in multivariate analyses (factor, multiple regression, and path analyses) to investigate the sociopsychological predictors of weight loss. Responses from 309 participants of a comprehensive weight-loss program indicated that self-assurance was the most significant predictor of actual weight loss, followed by weeks completed. Other factors, such as program satisfaction and perceived importance, indirectly predicted weight loss through the intervening variables of self-assurance and weeks completed. Differences in the factors predicting weight loss were observed between completers and dropouts. The implications of these results for professionals concerned with weight control are discussed.