Search results for " BMI"

showing 10 items of 21 documents

Body mass index and baseline platelet count as predictive factors in Merkel cell carcinoma patients treated with avelumab

2023

BackgroundMerkel cell carcinoma (MCC) is a rare and aggressive skin cancer, associated with a worse prognosis. The Immune Checkpoint Inhibitors (ICIs) avelumab and pembrolizumab have been recently approved as first-line treatment in metastatic MCC (mMCC). The clinical observation of improved outcomes in obese patients following treatment with ICIs, known as the “obesity paradox”, has been studied across many types of tumors. Probably due to the rarity of this tumor, data on mMMC patients are lacking.Patients and methodsThis is an observational, hospital-based, study to investigate the role of Body Mass Index (BMI) as predictive biomarker of ICI response in mMCC patients treated with aveluma…

Cancer Researchpredictive factorsOncologyskin cancer non melanomaavelumabimmunotherapybody mass index - BMIMerkel cell carcinoma (MCC)Frontiers in Oncology
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Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

2021

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia…

Population -- Health aspectsLeannessBaixo peso/UnderweightnoneDouble burdenalipainoisuustulotasoglobal healthsystematic analysisSedentary behaviorsRC1200Prospective associations0302 clinical medicineunderweightnälänhätäBiology (General)skin and connective tissue diseasesChildrenComputingMilieux_MISCELLANEOUSBody mass indexHuman Nutrition & Healtheducation.field_of_studyHumane Voeding & GezondheidylipainoGeneral Medicinekansainvälinen vertailu3. Good healthWorld healthMedicineA100 Pre-clinical MedicinePopulation distributionmedicine.medical_specialtyQH301-705.5ScienceSocio-culturaleNursing.Social sciencesGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesThinnessSDG 3 - Good Health and Well-beingBMI; epidemiology; global health; none; obesity; underweightNoneHumansObesidade/ObesitySDG 2 - Zero HungereducationVLAGUS adultsOmvårdnadbody mass index; malnutrition; obesity underweightnutritional and metabolic diseasesmedicine.diseaseterveellisyysObesityFaculdade de Ciências SociaisBMI; epidemiology; global health; none; obesity; underweight; Body Mass Index; Humans; Obesity; Prevalence; Risk Factors; ThinnessGeneral BiochemistryWIASlihavuusunderweight ; obesity ; BMIBody mass indexRADemographyN.A.double burdenobesitySettore MED/09 - Medicina Internaalueelliset erotNutrition and DiseaseAnimal Nutrition[SDV]Life Sciences [q-bio]Medizin030204 cardiovascular system & hematology0601 Biochemistry and Cell BiologyChange distribution of body mass indexRisk FactorsRA0421Voeding en ZiekteEpidemiologyPrevalenceMedicine and Health SciencesGlobal healthÍndice de massa corporal/Body Mass Index030212 general & internal medicineUnderweightpainoindeksi2. Zero hungerGeneral NeuroscienceQRaliravitsemuselintarvikkeethealthPublic Health Global Health Social Medicine and EpidemiologyDiervoeding3142 Public health care science environmental and occupational health//purl.org/pe-repo/ocde/ford#3.01.03 [https]/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingChinese adultsepidemiologypooled analysisUnderweightmedicine.symptomDiet qualityB120 PhysiologyResearch Articletrends//purl.org/pe-repo/ocde/ford#1.06.03 [https]prevalencePopulationMothersGenetics and Molecular Biologybody mass indexmalnutrition3121 Internal medicineBMImedicineLife Scienceddc:6103125 Otorhinolaryngology ophthalmologyObesitykehonkoostumusNutritionAustralian adultsGeneral Immunology and Microbiology//purl.org/pe-repo/ocde/ford#3.01.04 [https]Ciências sociaisFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMalnutritionEpidemiology and Global Healthsense organsEstilos de Vida e Impacto na Saúde
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Dietary intake and major food sources of polyphenols in people with type 2 diabetes: The TOSCA.IT Study

2018

Purpose: Proper evaluation of polyphenols intake at the population level is a necessary step in order to establish possible associations with health outcomes. Available data are limited, and so far no study has been performed in people with diabetes. The aim of this work was to document the intake of polyphenols and their major food sources in a cohort of people with type 2 diabetes and in socio-demographic subgroups. Methods: We studied 2573 men and women aged 50–75 years. Among others, anthropometry was measured by standard protocol and dietary habits were investigated by food frequency questionnaire (EPIC). The intake of polyphenols was evaluated using US Department of Agriculture and Ph…

0301 basic medicineMaleAge BMI Diabetes Diet Flavonoids Food groups Geographical area Intake Phenolic acids Polyphenols TOSCA.IT study Aged Antioxidants Beverages Cinnamates Cohort Studies Cross-Sectional Studies Databases Factual Diabetes Mellitus Type 2 Female Flavonoids Fruit Glycosides Humans Italy Male Middle Aged Nutritive Value Phenols Polyphenols Diet Diabetic Diet Healthy Patient ComplianceSettore MED/09 - Medicina InternaDatabases FactualCross-sectional studyMedicine (miscellaneous)Type 2 diabetesDiabeteAntioxidantsSettore MED/13 - EndocrinologiaFood groupCohort Studies0302 clinical medicineDiet DiabeticMedicineFood scienceGlycosidesAge; BMI; Diabetes; Diet; Flavonoids; Food groups; Geographical area; Intake; Phenolic acids; Polyphenols; TOSCA.IT study; Medicine (miscellaneous); Nutrition and DieteticsNutrition and DieteticsPhenolic acidDiabetesfood and beveragesMiddle AgedPolyphenols Flavonoids Phenolic acids Diabetes Food groups Diet Age BMI Geographical area Intake TOSCA.IT studyItalyToscaAgeBMIDiabetesDietFlavonoidsFood groupsGeographical areaIntakePhenolic acidsPolyphenolsTOSCA.IT studyCohortIntakeFemaleDiet HealthyNutritive ValueCohort studyPolyphenolPhenolic acids030209 endocrinology & metabolismBeverages03 medical and health sciencesBMIAgePhenolsDiabetes mellitusHumansAgedFlavonoidsGeographical area030109 nutrition & dieteticsbusiness.industryTOSCA.IT studyPolyphenolsAnthropometrymedicine.diseaseFood groupDietToscaCross-Sectional StudiesDiabetes Mellitus Type 2Food groupsPolyphenolCinnamatesAge; BMI; Diabetes; Diet; Flavonoids; Food groups; Geographical area; Intake; Phenolic acids; Polyphenols; TOSCA.IT studyFruitFlavonoidPatient Compliancebusiness
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Regression with imputed covariates: A generalized missing-indicator approach

2011

A common problem in applied regression analysis is that covariate values may be missing for some observations but imputed values may be available. This situation generates a trade-off between bias and precision: the complete cases are often disarmingly few, but replacing the missing observations with the imputed values to gain precision may lead to bias. In this paper, we formalize this trade-off by showing that one can augment the regression model with a set of auxiliary variables so as to obtain, under weak assumptions about the imputations, the same unbiased estimator of the parameters of interest as complete-case analysis. Given this augmented model, the bias-precision trade-off may the…

Economics and EconometricsApplied MathematicsRegression analysisMissing dataRegressionSet (abstract data type)Reduction (complexity)Economic dataBias of an estimatorStatisticsCovariateMissing covariates ImputationsBias precision trade-off Model reduction Model averaging BMI and incomeEconometricsStatistics::MethodologyC12C13C19Missing covariatesImputationsBias-precision trade-offModel reductionModel averagingBMI and incomeMathematics
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Assessing body composition with DXA and bioimpedance: effects of obesity, physical activity, and age.

2008

Objective: This study evaluated to what extent dual-energy X-ray absorptiometry (DXA) and two types of bioimpedance analysis (BIA) yield similar results for body fat mass (FM) in men and women with different levels of obesity and physical activity (PA). Methods and Procedures: The study population consisted of 37–81-year-old Finnish people (82 men and 86 women). FM% was estimated using DXA (GE Lunar Prodigy) and two BIA devices (InBody (720) and Tanita BC 418 MA). Subjects were divided into normal, overweight, and obese groups on the basis of clinical cutoff points of BMI, and into low PA (LPA) and high PA (HPA) groups. Agreement between the devices was calculated by using the Bland–Altman …

AdultMalemedicine.medical_specialtyEndocrinology Diabetes and MetabolismPhysical activityMedicine (miscellaneous)OverweightBody weightFat massEndocrinologyAbsorptiometry PhotonSex FactorsmedicineElectric ImpedanceBody Fat DistributionHumansObesityExerciseFinlandAgedNutrition and Dieteticsbusiness.industryAge FactorsReproducibility of ResultsNormal BMIMiddle AgedOverweightmedicine.diseaseObesityBioimpedance AnalysisPhysical therapyBody CompositionPopulation studyFemalemedicine.symptombusinessAlgorithmsObesity (Silver Spring, Md.)
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Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis…

2020

BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents.

Malebody-mass indexADULTHOODAdolescentspituuskasvuPediatricsBody Mass Index0302 clinical medicineChild DevelopmentnuoretPublic health surveillanceMedicineHealth Status Indicators10. No inequalityChild11 Medical and Health SciencesBody mass indexComputingMilieux_MISCELLANEOUSeducation.field_of_studyVDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801General MedicineBody mass indexeskansainvälinen vertailu3. Good healthGeographyHealth030220 oncology & carcinogenesisChild PreschoolMedical and Health sciences//purl.org/becyt/ford/3 [https]medicine.medical_specialtySchool-aged adolescentsSocio-culturalelapset (ikäryhmät)Nursing.territoriesravinto//purl.org/becyt/ford/3.3 [https]03 medical and health sciencesSchool ChildrenSDG 3 - Good Health and Well-beingSYSTEMATIC ANALYSISHumansschool-aged children and adolescentsMontenegroeducationScience & TechnologyOmvårdnadHealth sciences Medical and Health sciencesCiências médicas e da saúdeBayes TheoremAnthropometryAdolescent Developmentmedicine.diseaseTRENDSHeight and Body-mass IndexFaculdade de Ciências SociaisUNDERNUTRITIONHeight index trajectoriesHeight body mass index children epidemiologybody-mass index; school-aged children and adolescents; risk factors growthStatureBody mass indexDemographySettore MED/09 - Medicina InternaInternationality[SDV]Life Sciences [q-bio]030204 cardiovascular system & hematologyBody-mass index trajectoriesEpidemiologyMedicine and Health Sciencesrisk factorscountriesEPIDEMIOLOGYheight ; body-mass index ; children ; adolescents ; BMI030212 general & internal medicinepainoindeksiChild development2. Zero hungerMedicine(all)School age childobestity children cardiovascularPopulation Health1. No povertyPediatrikPublic Health Global Health Social Medicine and Epidemiology3142 Public health care science environmental and occupational healthPeer reviewPooled analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNUTRITIONFemalemedicine.symptompooled analysis/dk/atira/pure/subjectarea/asjc/2700Life Sciences & Biomedicineterveysheight BMI nutrition health children adolescentsAdolescentgrowthPopulationbody-massPopulation basedBody-mass indexBMIYoung AdultMedicine General & InternalchildrenMeta-Analysis as TopicGeneral & Internal Medicineparasitic diseasesWeight gainSchool-aged childrensAge trajectoriesbusiness.industryHeightWeightBody HeightFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMalnutritionONSETCiências da Saúde Ciências médicas e da saúdeSchool-aged childrenVDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801businessWeight gainterveysriskitEstilos de Vida e Impacto na Saúde
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Can a Healthy Lifestyle Prevent Disability Pension among Female Healthcare Workers with Good and Poor Self-Rated Health? Prospective Cohort Study wit…

2022

BACKGROUND: Our purpose was to investigate whether healthy lifestyle habits prevent disability pension among female healthcare workers.METHODS: We conducted a prospective cohort study with an 11-year register follow-up in which 8159 female healthcare workers from Denmark completed a questionnaire concerning self-rated health, work environment, leisure-time physical activity (LTPA), smoking, and body mass index (BMI). Data on disability benefit payments were obtained from the Danish Register for Evaluation of Marginalization during an 11-year follow-up. Potential confounders included age, occupational education, psychosocial work factors, and physical exertion during work.RESULTS: Among work…

Assegurances d'invalidesahealthcare workersHealth PersonnelHealth Toxicology and MutagenesisPublic Health Environmental and Occupational Healthphysical activitySalut en el treballExercicidisability pensionssmokingPensionsBMITabaquismeRisk FactorsHumansDisabled PersonsFemaledisability pensions; healthcare workers; smoking; physical activity; BMIHealthy LifestyleProspective StudiesFollow-Up StudiesInternational Journal of Environmental Research and Public Health
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High risk Gleason patterns at prostate biopsy and body mass index.

2014

Prostate cancer BMI Gleason scoreSettore MED/24 - Urologia
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Development of a Food-Based Diet Quality Score from a Short FFQ and Associations with Obesity Measures, Eating Styles and Nutrient Intakes in Finnish…

2019

We constructed a food-based diet quality score (DQS) and examined its association with obesity measures, eating styles and nutrient intakes. Participants were 3592 individuals (764 dizygotic [DZ] and 430 monozygotic [MZ] twin pairs) from the FinnTwin16 study. The DQS (0&ndash

AdultMaleobesityRELATIVE VALIDITYeating behaviorsdiet quality scorelcsh:TX341-641ruokavaliotVALIDATIONArticleSNACKING BEHAVIORSBMIADHERENCEsyöminenHumansravintoaineetSOCIAL DESIRABILITYFREQUENCY QUESTIONNAIREObesity ; Waist ; Short FFQ ; Eating behaviors ; Nutrient intake ; Twins ; Diet quality score ; BMIFinlandkaksostutkimusnutrient intakedigestive oral and skin physiologyylipainoFeeding Behaviortwins3142 Public health care science environmental and occupational healthDietBODY-MASS INDEXruokatottumuksetPHYSICAL-ACTIVITYFood3121 General medicine internal medicine and other clinical medicinelihavuusFemaleravintoarvoHEALTHY NORDIC DIET3143 NutritionEnergy Intakelcsh:Nutrition. Foods and food supplyshort FFQWEIGHT CHANGEwaist
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Body composition in children and adolescents residing in southern Europe: Prevalence of overweight and obesity according to different international r…

2019

The objective was to analyze body composition in children and adolescents of Southern Europe to identify prevalence of overweight and obesity. This investigation involved 512 girls and 488 boys between 7-to 19-years. Variables evaluated were Body Mass Index (BMI) and Fat Mass (FM; electrical bioimpedance). The references used to establish prevalence according to BMI were those of the World Health Organization (WHO) and the International Obesity Task Force (IOTF); in the case of FM, the Child Growth Foundation (CGF) reference was used. There were significant differences (p < 0.05) in the prevalence of overweight and obesity between the three classifications (32.3% according to IOTF, 37.3%…

PhysiologyConcordance030209 endocrinology & metabolismOverweightlcsh:PhysiologyWorld healthFat mass03 medical and health sciencesBMIWHO0302 clinical medicineBMI; CGF; IOTF; WHO; fat mass; nutritional status030225 pediatricsPhysiology (medical)IOTFmedicineCGFOriginal ResearchSettore M-EDF/01 - Metodi e Didattiche delle Attivita' Motorielcsh:QP1-981business.industryTask forcefat massmedicine.diseaseObesitynutritional statusfat mass BMI nutritional status WHO IOTF CGFmedicine.symptombusinessBody mass indexKappaDemography
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