Chem Rev. 2021 Feb 25. doi: 10.1021/acs.chemrev.1c00103. Online ahead of print.
NO ABSTRACT
PMID:33629840 | DOI:10.1021/acs.chemrev.1c00103
Tag: statistics
Int J Occup Saf Ergon. 2021 Feb 25:1-29. doi: 10.1080/10803548.2021.1888019. Online ahead of print.
ABSTRACT
Background: Professional drivers drive for many hours without rest. This factor, in addition to the characteristics of the job, the vehicle, the environment and the driver, causes driver fatigue. Fatigue is one of the most common risk factors when driving because it causes drowsiness, decreases their attention, and may make them fall asleep at the wheel. In this paper we propose a predictive model for professional drivers using the following variables: age, number of children, time spent at work, Time spent inside the vehicle, Personality (OPERAS), Job characteristics (JDS), Job content (JCQ) and Burnout.Method: Participants were 509 professional drivers from various transport sectors recruited by non-probabilistic sampling. SPSS version 25.0 was used for statistical analysis.Results: The predictive capacity of variables that cause driver fatigue was determined. Exhaustion best predicts fatigue positively, while Openness to Experience best predicts it negatively. Burnout and certain personality characteristics are good predictors, whereas other variables, such as JCQ and JDS, are weak predictors.Conclusions: This study extends our knowledge of the factors that cause fatigue in professional drivers and underlines the importance of designing interventions aimed at reducing the incidence of fatigue, promoting greater driver well-being, and lowering the incidence of accidents.
PMID:33629925 | DOI:10.1080/10803548.2021.1888019
Br J Math Stat Psychol. 2021 Feb 25. doi: 10.1111/bmsp.12238. Online ahead of print.
ABSTRACT
Principal covariate regression (PCOVR) is a method for regressing a set of criterion variables with respect to a set of predictor variables when the latter are many in number and/or collinear. This is done by extracting a limited number of components that simultaneously synthesize the predictor variables and predict the criterion ones. So far, no procedure has been offered for estimating statistical uncertainties of the obtained PCOVR parameter estimates. The present paper shows how this goal can be achieved, conditionally on the model specification, by means of the bootstrap approach. Four strategies for estimating bootstrap confidence intervals are derived and their statistical behaviour in terms of coverage is assessed by means of a simulation experiment. Such strategies are distinguished by the use of the varimax and quartimin procedures and by the use of Procrustes rotations of bootstrap solutions towards the sample solution. In general, the four strategies showed appropriate statistical behaviour, with coverage tending to the desired level for increasing sample sizes. The main exception involved strategies based on the quartimin procedure in cases characterized by complex underlying structures of the components. The appropriateness of the statistical behaviour was higher when the proper number of components were extracted.
PMID:33629738 | DOI:10.1111/bmsp.12238
Biom J. 2021 Feb 25. doi: 10.1002/bimj.202000227. Online ahead of print.
ABSTRACT
Shrinkage estimation in a meta-analysis framework may be used to facilitate dynamical borrowing of information. This framework might be used to analyze a new study in the light of previous data, which might differ in their design (e.g., a randomized controlled trial and a clinical registry). We show how the common study weights arise in effect and shrinkage estimation, and how these may be generalized to the case of Bayesian meta-analysis. Next we develop simple ways to compute bounds on the weights, so that the contribution of the external evidence may be assessed a priori. These considerations are illustrated and discussed using numerical examples, including applications in the treatment of Creutzfeldt-Jakob disease and in fetal monitoring to prevent the occurrence of metabolic acidosis. The target study’s contribution to the resulting estimate is shown to be bounded below. Therefore, concerns of evidence being easily overwhelmed by external data are largely unwarranted.
PMID:33629749 | DOI:10.1002/bimj.202000227
J Magn Reson Imaging. 2021 Feb 25. doi: 10.1002/jmri.27578. Online ahead of print.
ABSTRACT
BACKGROUND: Although contrast agents would be beneficial, they are seldom used in four-dimensional (4D) flow magnetic resonance imaging (MRI) due to potential side effects and contraindications.
PURPOSE: To develop and evaluate a deep learning architecture to generate high blood-tissue contrast in noncontrast 4D flow MRI by emulating the use of an external contrast agent.
STUDY TYPE: Retrospective.
SUBJECTS: Of 222 data sets, 141 were used for neural network (NN) training (69 with and 72 without contrast agent). Evaluation was performed on the remaining 81 noncontrast data sets.
FIELD STRENGTH/SEQUENCES: Gradient echo or echo-planar 4D flow MRI at 1.5 T and 3 T.
ASSESSMENT: A cyclic generative adversarial NN was trained to perform image translation between noncontrast and contrast data. Evaluation was performed quantitatively using contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), structural similarity index (SSIM), mean squared error (MSE) of edges, and Dice coefficient of segmentations. Three observers performed a qualitative assessment of blood-tissue contrast, noise, presence of artifacts, and image structure visualization.
STATISTICAL TESTS: The Wilcoxon rank-sum test evaluated statistical significance. Kendall’s concordance coefficient assessed interobserver agreement.
RESULTS: Contrast in the regions of interest (ROIs) in the NN enhanced images increased by 88%, CNR increased by 63%, and SNR improved by 48% (all P < 0.001). The SSIM was 0.82 ± 0.01, and the MSE of edges was 0.09 ± 0.01 (range [0,1]). Segmentations based on the generated images resulted in a Dice similarity increase of 15.25%. The observers managed to differentiate between contrast MR images and our results; however, they preferred the NN enhanced images in 76.7% of cases. This percentage increased to 93.3% for phase-contrast MR angiograms created from the NN enhanced data. Visual grading scores were blood-tissue contrast = 4.30 ± 0.74, noise = 3.12 ± 0.98, and presence of artifacts = 3.63 ± 0.76. Image structures within and without the ROIs resulted in scores of 3.42 ± 0.59 and 3.07 ± 0.71, respectively (P < 0.001).
DATA CONCLUSION: The proposed approach improves blood-tissue contrast in MR images and could be used to improve data quality, visualization, and postprocessing of cardiovascular 4D flow data. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 1.
PMID:33629795 | DOI:10.1002/jmri.27578
Gerontol Geriatr Educ. 2021 Feb 25:1-10. doi: 10.1080/02701960.2021.1891417. Online ahead of print.
ABSTRACT
Background/Objectives: To develop and evaluate a post-acute care simulation-based mastery learning (SBML) continuing medical education (CME)/maintenance of certification (MOC) procedure course.Design: Pretest-posttest study of the SBML intervention.Setting: A 2-day post-acute care procedures course.Participants: Sixteen practicing clinicians (5 physicians,11 advanced practice providers). Participants engaged in a skills pretest on knee aspiration/injection, gastrostomy tube removal/replacement, tracheostomy tube exchange, and basic suturing using a checklist created for each procedure. Participants received a didactic on each procedure followed by deliberate practice with feedback. Using the same checklists, participants completed a skills posttest and were required to meet a minimum passing standard (MPS) to obtain CME/MOC credit.Measurements: The MPS for each skills checklist was determined by a multidisciplinary panel of 11 experts. Participants completed surveys on procedure self-confidence and a course evaluation.Results: There was statistically significant improvement between pre- and posttests for all four procedures (p < .001). All participants were able to meet or exceed the MPS for each skill during the 2-day course. Participants’ self-confidence regarding each procedure improved significantly (p < .001).Conclusion: An SBML training course granting CME/MOC credit for post-acute care providers significantly improves performance of knee aspiration/injection, gastrostomy tube removal/replacement, tracheostomy tube exchange, and basic suturing.
PMID:33629646 | DOI:10.1080/02701960.2021.1891417
Mil Med. 2021 Feb 25:usab085. doi: 10.1093/milmed/usab085. Online ahead of print.
ABSTRACT
INTRODUCTION: Weight status perception (WSP) is the subjective assessment of one’s own body weight. It is not correlated with the body mass index (BMI). People practicing sports, including overweight people, tend to perceive themselves as normal weight. The military is in a paradoxical position between the need to gain muscle mass for professional purposes while respecting BMI standards. Using body composition might be more advantageous than using BMI as part of an individual approach in making a decision about fitness to serve. However, measuring body composition is not easy in current practice, and a bridge between WSP and body composition would make it possible to develop a simple assessment tool.
MATERIALS AND METHODS: This was a prospective, descriptive, cross-sectional study. We collected sociodemographic data, anthropometric data, and WSP.
RESULTS: Thirty-eight subjects were included. Among them, 71.1% were male. Mean age was 31.2 years (SD 8.9). The BMI was greater than 25 for 15 (39.5%) subjects. Twenty-four (63.2%) defined themselves as being overweight. Thirteen were overweight according to fat percentage (Fat%). A significant association (P = .008) was found between WSP and Fat%.
CONCLUSION: We were able to show a statistically significant association between WSP and Fat%. Such an association may be of great interest because the measurement of the Fat%, whatever the method used, is not easy in current practice. A replication of the study in the general population would be of great interest, especially since Fat% is closely associated with the incidence of cardiovascular diseases and many cancers.
PMID:33629720 | DOI:10.1093/milmed/usab085
Cereb Cortex. 2021 Feb 25:bhab029. doi: 10.1093/cercor/bhab029. Online ahead of print.
ABSTRACT
The posterior superior temporal sulcus (pSTS) is a brain region characterized by perceptual representations of human body actions that promote the understanding of observed behavior. Increasingly, action observation is recognized as being strongly shaped by the expectations of the observer (Kilner 2011; Koster-Hale and Saxe 2013; Patel et al. 2019). Therefore, to characterize top-down influences on action observation, we evaluated the statistical structure of multivariate activation patterns from the action observation network (AON) while observers attended to the different dimensions of action vignettes (the action kinematics, goal, or identity of avatars jumping or crouching). Decoding accuracy varied as a function of attention instruction in the right pSTS and left inferior frontal cortex (IFC), with the right pSTS classifying actions most accurately when observers attended to the action kinematics and the left IFC classifying most accurately when observed attended to the actor’s goal. Functional connectivity also increased between the right pSTS and right IFC when observers attended to the actions portrayed in the vignettes. Our findings are evidence that the attentive state of the viewer modulates sensory representations in the pSTS, consistent with proposals that the pSTS occupies an interstitial zone mediating top-down context and bottom-up perceptual cues during action observation.
PMID:33629729 | DOI:10.1093/cercor/bhab029
Expert Rev Pharmacoecon Outcomes Res. 2021 Feb 25. doi: 10.1080/14737167.2021.1895753. Online ahead of print.
ABSTRACT
Background: Hidradenitis suppurativa (HS) is a potentially disabling, chronic inflammatory skin disease affecting up to 1% of the population in Europe. This study aims to assess the cost-of-illness of HS from a societal perspective in Hungary, and to analyse the predictors of costs.Methods: A multicentre, cross-sectional cost-of-illness study was performed among 200 adult HS patients. We evaluated direct medical (physician consultations, inpatient admissions, medical and surgeries), direct non-medical (transportation and caregiving) and indirect costs (productivity loss).Results: The mean annual cost-of-illness of HS was €6,791 per patient. The main cost components were productivity loss (53.3%), biological treatment (21.5%) and informal care (9.2%). Patients missed, on average, 26 and 63 days from work annually due to absenteeism and presenteeism, respectively. Male sex, more severe disease, gluteal involvement and coexisting inflammatory bowel disease were associated with higher direct medical costs, while lower education level and worse quality-of-life outcomes predicted higher indirect costs.Conclusions: This is the first study to assess both direct and indirect costs in HS patients. HS imposes a substantial burden on patients and society, predominantly arising from productivity loss and biological therapy. Resource utilization data and cost-of-illness estimates provide valuable inputs into cost-effectiveness analyses of health interventions in HS.
PMID:33629618 | DOI:10.1080/14737167.2021.1895753
Scand J Rheumatol. 2021 Feb 25:1-9. doi: 10.1080/03009742.2020.1846778. Online ahead of print.
ABSTRACT
Objective: The aim of the study was to assess the development of widespread non-joint pain (WNP) in a cohort of patients with early rheumatoid arthritis (RA), the associated health-related quality of life (HRQoL), and clinical and demographic risk factors for WNP.Method: Incident cases with RA, from the Swedish population-based study Epidemiological Investigation of Rheumatoid Arthritis (EIRA), with a follow-up of at least 3 years, constituted the study population. WNP was defined as pain outside the joints in all four body quadrants and was assessed at the 3 year follow-up. Patients who reported WNP were compared to patients without WNP regarding HRQoL, measured by the Short Form-36, at 3 years, and clinical and demographic characteristics at the time of RA diagnosis.Results: A total of 749 patients constituted the study sample, of whom 25 were excluded after reporting already having severe pain before RA diagnosis. At the 3 year follow-up, 8% of the patients reported having WNP as well as statistically significant worse HRQoL. At the time of RA diagnosis, the patients with WNP had worse pain and pain-related features, while no difference was seen in the inflammatory parameters.Conclusion: WNP occurs in a substantial subset of patients with RA, also early in the course of the disease, and the HRQoL for these patients is significantly reduced. Patients who develop WNP at 3 years are already distinguishable at the time of diagnosis by displaying more pronounced pain ratings together with an average level of inflammatory disease activity.
PMID:33629632 | DOI:10.1080/03009742.2020.1846778