Search results for "Multivariate analysis"

showing 10 items of 1076 documents

Significant divergences between the temporal structure of the behavior in Wistar and in the spontaneously more anxious DA/Han strain of rats tested i…

2013

Abstract The aim of present research is to study the temporal structure of the behavior in two strains of rats with different basal level of emotionality. To this purpose, the temporal profile of the behavior in Wistar rat and in the spontaneously more anxious DA/Han strain was analyzed in the Elevated Plus Maze. Both quantitative and multivariate t-pattern analyses were carried out. In comparison with Wistar, DA/Han subjects showed a significant reduction of the permanence in open arm and a significant increase of the time spent in the central platform of the maze. Mean frequencies of each behavioral element showed significant modifications both in open and in closed arm. Multivariate t-pa…

MaleElevated plus mazemedicine.medical_specialty[ SCCO.PSYC ] Cognitive science/PsychologyAnxietySettore BIO/09 - FisiologiaRats Mutant StrainsTemporal lobeDevelopmental psychologyRats Sprague-Dawley03 medical and health sciencesBehavioral NeuroscienceBasal (phylogenetics)0302 clinical medicineSpecies SpecificityEmotionalityInternal medicinemedicineAnimalsStatistical analysisRats WistarMaze LearningComputingMilieux_MISCELLANEOUSStrain (chemistry)[SCCO.NEUR]Cognitive science/NeuroscienceAnxiety Elevated plus maze t-pattern analysis Multivariate analysis Wistar Dark Agouti RatRats030227 psychiatryEndocrinology[ SCCO.NEUR ] Cognitive science/NeuroscienceMultivariate Analysis[SCCO.PSYC]Cognitive science/PsychologyTime courseExploratory BehaviorTemporal organizationPsychology030217 neurology & neurosurgery
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Syndemic effects of HIV risk behaviours: results from the NHANES study

2019

Abstract The aim of the present study is to use the syndemic framework to investigate the risk of contracting HIV in the US population. Cross-sectional analyses are from The National Health and Nutrition Examination Survey. We extracted and aggregated data on HIV antibody test, socio-demographic characteristics, alcohol use, drug use, depression, sexual behaviours and sexually transmitted diseases from cycle 2009–2010 to 2015–2016. We carried out weighted regression among young adults (20–39 years) and adults (40–59 years) separately. In total, 5230 men and 5794 women aged 20–59 years were included in the present analyses. In total, 0.8% men and 0.2% women were tested HIV-positive. Each inc…

MaleEpidemiologyCross-sectional studyHIV Infections*NHANES0302 clinical medicineSyndemicPrevalencerisk factorsMedicine030212 general & internal medicineYoung adultDepression (differential diagnoses)education.field_of_studyIncidence (epidemiology)Middle AgedNutrition Surveys3. Good healthSexual PartnersInfectious Diseasesrisk factorFemale0305 other medical scienceRisk assessmentAdultAdolescentNational Health and Nutrition Examination SurveySubstance-Related DisordersPopulationSexually Transmitted DiseasesRisk AssessmentYoung Adult03 medical and health sciencesAge DistributionRisk-TakingEnvironmental healthHumansAdultsNHANESSex Distributioneducation*AdultsOriginal Paper030505 public healthUnsafe Sexbusiness.industry*syndemic theoryHIVSyndemicUnited Statessyndemic theory*HIVCross-Sectional StudiesLogistic ModelsSocioeconomic FactorsMultivariate Analysis*risk factorsbusinessEpidemiology and Infection
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Food Insecurity Is Associated with Mild Cognitive Impairment among Middle-Aged and Older Adults in South Africa:Findings from a Nationally Representa…

2019

There are no studies on the association between food insecurity and mild cognitive impairment (MCI). Thus, cross-sectional, community-based data on individuals aged &ge

MaleEpidemiologyLogistic regressionFood SupplySouth Africa0302 clinical medicineRisk FactorsSurveys and QuestionnairesEpidemiologyPrevalenceMedicine030212 general & internal medicineBRAINCognitive impairmentRISK2. Zero hungerNutrition and DieteticsDEMENTIAConfounding1. No povertyMiddle AgedDEPRESSIONPREVALENCEALZHEIMERS-DISEASEFood insecurityFemalelcsh:Nutrition. Foods and food supplyLife Sciences & Biomedicinemedicine.medical_specialtyMedicinaPERCEIVED STRESSlcsh:TX341-641ArticleWorld healthOdds03 medical and health sciencesPEOPLEEnvironmental healthHumansDementiaCognitive DysfunctionAgedDECLINEScience & TechnologyNutrition & DieteticsFood insecuritybusiness.industryMild cognitive impairmentmedicine.diseaseCross-Sectional StudiesLogistic ModelsPHYSICAL-ACTIVITYMultivariate Analysisbusiness030217 neurology & neurosurgeryFood Science
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Dog sperm swimming parameters analysed by computer-assisted semen analysis of motility reveal major breed differences

2019

Dogs have undergone an intensive artificial selection process ever since the beginning of their relationship with humans. As a consequence, a wide variety of well-defined breeds exist today. Due to the enormous variation in dog phenotypes and the unlikely chance of gene exchange between them, the question arises as to whether they should still be regarded as a single species or, perhaps, they be considered as different taxa that possess different reproductive traits. The aim of this study was therefore to characterize some male reproductive traits, focusing on kinematic characteristics of dog spermatozoa from several breeds. Thirty-seven dogs from the following breeds were used: Staffordshi…

MaleEvolutionmedicine.medical_treatmentbiology.animal_breedZoologyCASA‐MotSemenArtificial inseminationSemen analysisStaffordshire bull terrierSperm kinematicsEndocrinologyDogsSingle speciesmedicineAnimalsCluster AnalysisInsemination ArtificialPhylogenyElectronic Data Processingbiologymedicine.diagnostic_testArtificial inseminationSpermSpermatozoaBreedSemen AnalysisMultivariate AnalysisDog breedsLabrador RetrieverAnimal Science and ZoologyBiotechnologyReproduction in Domestic Animals
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A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness.

2019

In this paper, we present a method for automated estimation of a human face given a skull remain. The proposed method is based on three statistical models. A volumetric (tetrahedral) skull model encoding the variations of different skulls, a surface head model encoding the head variations, and a dense statistic of facial soft tissue thickness (FSTT). All data are automatically derived from computed tomography (CT) head scans and optical face scans. In order to obtain a proper dense FSTT statistic, we register a skull model to each skull extracted from a CT scan and determine the FSTT value for each vertex of the skull model towards the associated extracted skin surface. The FSTT values at p…

MaleFOS: Computer and information sciencesDatabases FactualComputer Vision and Pattern Recognition (cs.CV)Statistics as TopicComputer Science - Computer Vision and Pattern RecognitionSocial SciencesDiagnostic RadiologyMathematical and Statistical TechniquesImage Processing Computer-AssistedMedicine and Health SciencesMusculoskeletal SystemTomographyPrincipal Component AnalysisRadiology and ImagingStatisticsQRClinical Laboratory Sciences004Physical SciencesMedicineFemaleAnatomic LandmarksAnatomyResearch ArticleAdultBiometrySoft TissuesImaging TechniquesScienceNeuroimagingNoseResearch and Analysis MethodsDiagnostic MedicineHumansStatistical MethodsSkeletonForensicsSkullBiology and Life SciencesComputed Axial TomographyBiological TissueFaceMultivariate AnalysisForensic AnthropologyLaw and Legal SciencesTomography X-Ray ComputedHeadMathematicsNeurosciencePLoS ONE
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Transforming RNA-Seq Data to Improve the Performance of Prognostic Gene Signatures

2014

Gene expression measurements have successfully been used for building prognostic signatures, i.e for identifying a short list of important genes that can predict patient outcome. Mostly microarray measurements have been considered, and there is little advice available for building multivariable risk prediction models from RNA-Seq data. We specifically consider penalized regression techniques, such as the lasso and componentwise boosting, which can simultaneously consider all measurements and provide both, multivariable regression models for prediction and automated variable selection. However, they might be affected by the typical skewness, mean-variance-dependency or extreme values of RNA-…

MaleGene Expressionlcsh:Medicinecomputer.software_genreBioinformaticslcsh:ScienceExtreme value theoryMultidisciplinaryMultivariable calculusStatisticsRegression analysisGenomicsPrognosisKidney NeoplasmsNeoplasm ProteinsLeukemia Myeloid AcuteMedicineProbability distributionFemaleSequence AnalysisAlgorithmsResearch ArticleStatistical DistributionsRiskBoosting (machine learning)Clinical Research DesignFeature selectionBiostatisticsBiologyMachine learningMolecular GeneticsGenome Analysis ToolsCovariateHumansStatistical MethodsGene PredictionBiologyCarcinoma Renal CellProbabilityClinical GeneticsSequence Analysis RNAbusiness.industrylcsh:RPersonalized MedicineModelingComputational BiologyProbability TheorySurvival AnalysisSkewnessMultivariate AnalysisRNAlcsh:QArtificial intelligenceGenome Expression AnalysisTranscriptomebusinesscomputerMathematicsPLoS ONE
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Frequency, intensity and localization of pain as risk factors for frailty in older adults

2018

Background: the association between pain characteristics and frailty risk is uncertain. Objective: to investigate the separate impact of the frequency, intensity and location of pain on frailty risk and its possible mechanisms. Methods: prospective cohort of 1505 individuals ≥63 years followed between 2012 and 2015 in Spain. In 2012, pain was classified into: lowest pain (Score 0), middle pain (Score 1-4) and highest pain (Score 5-6). Incident frailty was assessed in 2015 as having ≥3 Fried criteria or a Frailty Index (FI) ≥0.30. Results: in multivariate analyses, the risk of frailty (measured with the Fried criteria or the FI) increased progressively with the frequency of pain, its intensi…

MaleGerontologiaAgingmedicine.medical_specialtyMultivariate analysisMediterranean dietFrail ElderlyPainDisease03 medical and health sciences0302 clinical medicineRisk FactorsDiabetes mellitusInternal medicinemedicineHumansProspective Studies030212 general & internal medicineProspective cohort studyGeriatric AssessmentDepression (differential diagnoses)AgedPain MeasurementModels StatisticalFrailtybusiness.industryIncidenceAge FactorsGeneral MedicineOdds ratioMiddle Agedmedicine.diseaseConfidence intervalSpainMultivariate AnalysisFemaleGeriatrics and Gerontologybusiness030217 neurology & neurosurgeryAge and Ageing
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Frailty and other geriatric conditions for risk stratification of older patients with acute coronary syndrome

2014

Background Geriatric conditions may predict outcomes beyond age and standard risk factors. Our aim was to investigate a wide spectrum of geriatric conditions in survivors after an acute coronary syndrome. Methods A total of 342 patients older than 65 years were included. At hospital discharge, 5 geriatric conditions were evaluated: frailty (Fried and Green scores), physical disability (Barthel index), instrumental disability (Lawton-Brody scale), cognitive impairment (Pfeiffer questionnaire), and comorbidity (Charlson and simple comorbidity indexes). The outcomes were postdischarge mortality and the composite of death/myocardial infarction during a 30-month median follow-up. Results Seventy…

MaleGerontologyAcute coronary syndromemedicine.medical_specialtyFrail ElderlyMyocardial InfarctionComorbidityRisk AssessmentCohort StudiesRisk FactorsInternal medicineActivities of Daily LivingmedicineHumansProspective StudiesMyocardial infarctionAcute Coronary SyndromeGeriatric AssessmentAgedProportional Hazards ModelsAged 80 and overHand StrengthReceiver operating characteristicProportional hazards modelbusiness.industryHazard ratioPrognosismedicine.diseaseComorbidityROC CurveArea Under CurveMultivariate AnalysisExercise TestFemaleCognition DisordersCardiology and Cardiovascular MedicineRisk assessmentbusinessCohort studyAmerican Heart Journal
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Association between Frailty and Dementia: A Population-Based Study

2013

<b><i>Background:</i></b> Frailty is commonly considered as a syndrome with several symptoms, including weight loss, exhaustion, weakness, slow walking speed and physical inactivity. It has been suggested that cognitive impairment should be included in the frailty index, however the association between frailty and cognition has not yet been fully established. <b><i>Objective:</i></b> To investigate cross-sectionally whether frailty is associated with cognitive impairment or clinically diagnosed dementia in older people. <b><i>Methods:</i></b> The study included a total of<b> </b>654 persons aged 76-100 years…

MaleGerontologyAgingWeaknessmedicine.medical_specialtyMultivariate analysisCross-sectional studyFrail ElderlyLogistic regressionRisk FactorsEpidemiologymedicineHumansDementiaFinlandAgedAged 80 and overbusiness.industryta3141Cognitionta3142medicine.diseasePreferred walking speedCross-Sectional StudiesLogistic ModelsMultivariate AnalysisPhysical therapyDementiaFemaleGeriatrics and Gerontologymedicine.symptomMental Status SchedulebusinessGerontology
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Differences in Weight Status and Energy-Balance Related Behaviors among Schoolchildren across Europe: The ENERGY-Project

2012

Published version of an article published in the journal: PLoS ONE. Also available from the publisher at: http://dx.doi.org/10.1371/journal.pone.0034742 Background: Current data on the prevalence of overweight and energy-balance behaviors among European children is necessary to inform overweight prevention interventions. Methodology/Principal Findings: A school-based survey among 10–12 year old children was conducted in seven European countries using a standardized protocol. Weight, height, and waist circumference were measured; Engagement in physical activity, sedentary and dietary behaviors, and sleep duration were self-reported. Descriptive analyses were conducted, looking at differences…

MaleGerontologyBody heightEnergy balanceChild Behaviorlcsh:MedicineDETERMINANTSGlobal HealthPediatricsVDP::Medical disciplines: 700::Health sciences: 800::Nutrition: 811Body Mass Index0302 clinical medicineDESIGNSex factorsSurveys and QuestionnairesADOLESCENTSMedicine and Health SciencesPrevalence030212 general & internal medicineChildlcsh:ScienceMultidisciplinaryChild HealthSocioeconomic Aspects of Health3. Good healthEuropeYOUTHOBESITYSLEEP DURATIONEducational StatusMedicine/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalePublic HealthWaist CircumferenceBehavioral and Social Aspects of HealthResearch ArticleEnergy (esotericism)030209 endocrinology & metabolismMotor ActivityBody weightChildhood obesity03 medical and health sciencesSex FactorsSDG 3 - Good Health and Well-beingmedicineHumansObesityMotor activitySports and Exercise MedicineWeight statusNutritionAnalysis of VarianceOVERWEIGHTPRO CHILDRENbusiness.industryBody Weightlcsh:RFeeding BehaviorOverweightmedicine.diseasePREVENTIONBody HeightDietPHYSICAL-ACTIVITYMultivariate Analysislcsh:QPreventive MedicineVDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801businessDemographyPLoS ONE
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