Search results for "Disease cluster"

showing 10 items of 101 documents

Mental health problems in adolescents with cochlear implants: Peer problems persist after controlling for additional handicaps

2015

The aims of the present multi-center study were to investigate the extent of mental health problems in adolescents with a hearing loss and cochlear implants (CIs) in comparison to normal hearing (NH) peers and to investigate possible relations between the extent of mental health problems of young CI users and hearing variables, such as age at implantation, or functional gain of CI. The survey included 140 adolescents with CI (mean age = 14.7, SD = 1.5 years) and 140 NH adolescents (mean age = 14.8, SD = 1.4 years), their parents and teachers. Participants were matched by age, gender and social background. Within the CI group, 35 adolescents were identified as “risk cases” due to possible an…

Mental Health ProblemsSocial backgroundHearing losslcsh:BF1-990multi handicapSpecial needsDisease clusterSpeech in noiseDevelopmental psychologySDQmedicinePsychologyadolescents10. No inequalityHearing LossGeneral PsychologyOriginal Researchbusiness.industry4. EducationPeer problemsMean agemulti-center studyStrengths and Difficulties QuestionnaireMental healthcochlear implants; adolescents; hearing loss; multi handicap; mental health problems; SDQ; peer problems; multi-center studyCochlear Implantslcsh:Psychologymedicine.symptombusinessClinical psychologyFrontiers in Psychology
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A Tutorial on Computational Cluster Analysis with Applications to Pattern Discovery in Microarray Data

2008

Background Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analysis and Classification, in particular with regard to the prediction of the number of clusters in a dataset, usually established via internal validation measures. Despite the wealth of internal measures available in the literature, new ones have been recently proposed, some of them specifically for microarray data. Results We consider five such measures: Clest, Consensus (Consensus Clustering), FOM (Figure of Merit), Gap (Gap Statistics) and ME (Model Explorer), in addition to the classic WCSS (Within Cluster Sum-of-S…

Microarray analysis techniquesComputer scienceApplied Mathematicscomputer.software_genreDisease clusterClusteringComputational MathematicsComputingMethodologies_PATTERNRECOGNITIONComputational Theory and MathematicsGene chip analysisMicroarray databasesData miningDNA microarrayCluster analysiscomputerMathematics in Computer Science
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ASSESSING NEIGHBORHOOD DISORDER: VALIDATION OF A THREE-FACTOR OBSERVATIONAL SCALE

2015

AbstractThis study presents data on the development and preliminary validation of an observational scale assessing neighborhood disorder. Independent observations by trained raters of neighborhood disorder were conducted in 552 census block groups in the city of Valencia (Spain). Intraclass correlation coefficients assessing inter-rater reliability indicated fair to substantial levels of agreement among raters. Confirmatory factor analyses supported a final three-factor model scale measuring physical disorder, social disorder, and physical decay. Results for the internal consistency showed large composite reliability indices indicating good reliability for all neighborhood disorder factors.…

Neighborhood disorderDistribución especialSocial disorganizationDeterioro físicoIntraclass correlationlcsh:BF1-990Disease clusterConfirmatory factor analysisDevelopmental psychologySocial disorderPhysical disorderDesorden físicoStatisticslcsh:K5000-5582Socioeconomic statusApplied PsychologyPhysical disorderReliability (statistics)Social disorderObservational scalesocial sciencesSpatial clusteringAnálisis factorial confirmatoriolcsh:PsychologyScale (social sciences)Desorganización socialEscala observacionalpopulation characteristicslcsh:Criminal law and procedureDesorden del vecindarioObservational studyPsychologyLawPhysical decayDesorden socialEuropean Journal of Psychology Applied to Legal Context
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Association Between Long-Term Job Strain and Metabolic Syndrome Factor Across Sex and Occupation

2006

The present study investigated whether long-term job strain increases the prevalence of risk for metabolic syndrome, a cluster of risk factors for cardiovascular diseases, across sex and occupation. The participants (64 men, 62 women) were drawn from the Jyväskylä Longitudinal Study of Personality and Social Development, Finland. Job strain was measured by a combination of high job demands and low job control ( Karasek, 1979 ) at ages 36 and 42. Metabolic syndrome was measured at age 42. The results indicated that both sex and occupational group moderated the association between long-term job strain and the metabolic syndrome factor but in an unexpected way. In women, low long-term job str…

Occupational groupLongitudinal studyJob strainJob controlmedia_common.quotation_subject05 social sciencesmedicine.diseaseDisease clusterDevelopmental psychology03 medical and health sciences0302 clinical medicine0502 economics and businessmedicinePersonality030212 general & internal medicineMetabolic syndromePsychologyAssociation (psychology)050203 business & managementBiological PsychiatryGeneral Psychologymedia_commonDemographyJournal of Individual Differences
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A Systemic Review with Visualization using Adjutant: Application in Case of Febrile Seizure Research

2020

Febrile seizures (FS) on pediatric age is challenging because it’s higher incidence and recurrence as neurologic disorder in childhood. Our study show an approach to perform a systemic, in-depth, updated review analysis with visualization on current knowledge about febrile seizure. We performed a literature search of Pub Med research articles related to febrile seizure that were published until August 2020. The automated search was conducted using R open source package Adjutant with the following query terms: “febrile AND (seizures OR convuls*)”. The search resulted in 8200 documents corpus and 45 cluster topics. This kind of analysis and visualization could be useful for practitioners and …

Open sourcebusiness.industryFebrile seizureMedicinePediatric ageMedical emergencyDisease clusterbusinessReview analysismedicine.diseaseVisualization2020 International Conference on e-Health and Bioengineering (EHB)
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Redox Regulation of Metabolic Syndrome: From Biochemical Mechanisms to Nutritional Interventions.

2021

According to its “harmonized” definition, metabolic syndrome (MetS) is described as a cluster of metabolic factors that increases the risk of cardiovascular diseases, diabetes (DM) and associated morbidities such as dementia [...]

Physiologybusiness.industryClinical BiochemistryMEDLINECell BiologyRM1-950medicine.diseaseBioinformaticsDisease clusterBiochemistrymetabolic syndromeredox regulationn/aEditorialNutritional InterventionsDiabetes mellitusmental disordersmedicineDementiaTherapeutics. PharmacologyMetabolic syndromebusinessMolecular BiologyAntioxidants (Basel, Switzerland)
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Comparison of Disease Clusters in Two Elderly Populations Hospitalized in 2008 and 2010

2013

<b><i>Background:</i></b> As chronicity represents one of the major challenges in the healthcare of aging populations, the understanding of how chronic diseases distribute and co-occur in this part of the population is needed. <b><i>Objectives:</i></b> The aims of this study were to evaluate and compare patterns of diseases identified with cluster analysis in two samples of hospitalized elderly. <b><i>Methods:</i></b> Data were obtained from the multicenter ‘Registry Politerapie SIMI (REPOSI)' that included people aged 65 or older hospitalized in internal medicine and geriatric wards in Italy during 2008 and 2010. The s…

RegistrieMaleAgingCirrhosisSettore MED/09 - Medicina InternaTime FactorshispitalizationGerontology; aging populations;atterns of multimorbidity; diseases in the elderly population.Health care80 and overPrevalenceChronic diseases; Cluster analysis; Hospitalized elderlyRegistriesHospitalized elderlyaging populationAged 80 and overeducation.field_of_studySettore MED/45 - Scienze Infermieristiche Generali Cliniche E PediatricheHospitalizationItalyelderly; hispitalization; disease clustersFemaledisease clustershospitalizedHumanmedicine.medical_specialtyTime FactorAnemiaMULTIMORBIDITYPopulationMEDLINEMalignancyelderlyCluster analysisDiabetes mellitusInternal medicinedisease clusters; elderly; hospitalizedmedicinediseases in the elderly population.MultimorbidityHumansatterns of multimorbidityeducationAgedChronic diseases; Cluster analysis; Hospitalized elderly; Aged; Aged; 80 and over; Chronic Disease; Female; Hospitalization; Humans; Italy; Male; Prevalence; Registries; Time Factors; Cluster Analysis; Aging; Geriatrics and GerontologyCluster Analysibusiness.industrymedicine.diseaseChronic diseasesChronic DiseasePhysical therapydisease clusterGeriatrics and GerontologybusinessGerontologyChronic diseases; Cluster analysis; Hospitalized elderly; Aged; Aged 80 and over; Chronic Disease; Female; Hospitalization; Humans; Italy; Male; Prevalence; Registries; Time Factors; Cluster Analysis; Aging; Geriatrics and Gerontology
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The status of dental caries and related factors in a sample of Iranian adolescents.

2010

Objective: To describe the status of dental caries in a sample of Iranian adolescents aged 14 to 18 years in Qazvin, and to identify caries-related factors affecting this group. Study design: Qazvin was divided into three zones according to socio-economic status. The sampling procedure used was a stratified cluster sampling technique; incorporating 3 stratified zones, for each of which a cluster of school children were recruited from randomly selected high schools. The adolescents agreed to participate in the study and to complete a questionnaire. Dental caries status was assessed in terms of decayed teeth (DT), filled teeth (FT) and decayed, missing and filled teeth (DMFT). A multivariate …

Related factorsMaleMultivariate statisticsAdolescentbusiness.industryIncidence (epidemiology)DentistrySample (statistics)Family incomeDental Caries:CIENCIAS MÉDICAS [UNESCO]Disease clusterTooth brushingstomatognathic diseasesstomatognathic systemOtorhinolaryngologyRisk FactorsUNESCO::CIENCIAS MÉDICASMedicineHumansSurgeryCluster samplingFemalebusinessGeneral DentistryMedicina oral, patologia oral y cirugia bucal
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The categorization of amateur cyclists as research participants: findings from an observational study.

2018

Sampling bias is an issue for research involving cyclists. The heterogeneity of cyclist populations, on the basis of skill level and riding purpose, can generate incorrect inferences about one specific segment of the population of interest. In addition, a more accurate categorization would be helpful when physiological parameters are not available. This study proposes using self-reported data to categorize amateur cyclist types by varying skill levels and riding purposes, therefore improving sample selection in experimental studies. A total of 986 cyclists completed an online questionnaire between February and October 2016. Two-step cluster analyses were performed to generate distinct group…

Research Subjectsmedia_common.quotation_subjectPopulationApplied psychologyPhysical Therapy Sports Therapy and RehabilitationComputer-assisted web interviewingDisease cluster03 medical and health sciences0302 clinical medicineSurveys and QuestionnairesCluster AnalysisHumansOrthopedics and Sports Medicine030212 general & internal medicineeducationSelection Biasmedia_commonRetrospective Studieseducation.field_of_studyVariablesAnthropometry030229 sport sciencesBicyclingCategorizationMotor SkillsResearch DesignObservational studySelf ReportPsychologyCyclingAmateurJournal of sports sciences
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Effects of cluster training on body composition and strength in resistance-trained men

2020

BACKGROUND: Cluster Training (CL) is an alternative to traditional training where intra-set breaks are incorporated. Positive effects have been reported on sports performance. However, there is little research on body composition in trained subjects. OBJECTIVE: The aim of this study was to investigate the effects of three cluster training (CL) protocols comprised of different intra-set rest (RIntra) and blocks of repetitions (BK) on strength, power and body composition in individuals maintaining a high protein diet. METHODS: Twenty-nine resistance-trained male participants were randomized to RIntra 20 s and BK 3 RM (n= 8, CL1), RIntra 40 s and BK 3 RM (n= 7, CL2), RIntra 20 s and BK 6 RM (n…

Resistance (ecology)business.industryBiophysicsPhysical Therapy Sports Therapy and Rehabilitation030229 sport sciences030204 cardiovascular system & hematologyComposition (combinatorics)Disease cluster03 medical and health sciences0302 clinical medicineStatisticsMedicineOrthopedics and Sports MedicinebusinessIsokinetics and Exercise Science
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