0000000000075404

AUTHOR

Sabine Rohrmann

showing 5 related works from this author

RISK OF CARDIOVASCULAR DISEASE MORBIDITY AND MORTALITY IN FRAIL AND PRE-FRAIL OLDER ADULTS:RESULTS FROM A META-ANALYSIS AND EXPLORATORY META-REGRESSI…

2017

Frailty is common and associated with poorer outcomes in the elderly, but its role as potential cardiovascular disease (CVD) risk factor requires clarification. We thus aimed to meta-analytically evaluate the evidence of frailty and pre-frailty as risk factors for CVD. Two reviewers selected all studies comparing data about CVD prevalence or incidence rates between frail/pre-frail vs. robust. The association between frailty status and CVD in cross-sectional studies was explored by calculating and pooling crude and adjusted odds ratios (ORs)+/- 95% confidence intervals (CIs); the data from longitudinal studies were pooled using the adjusted hazard ratios (HRs). Eighteen cohorts with a total …

GerontologyAging1303 Biochemistry030204 cardiovascular system & hematologyBiochemistry0302 clinical medicineRisk Factorscardiovascular diseasePrevalenceMedicine030212 general & internal medicineCardiovascular disease; Frailty; Meta-analysis; Aged; Frail Elderly; Humans; Prevalence; Risk Assessment; Risk Factors; Cardiovascular Diseases; Biotechnology; Biochemistry; Aging; Molecular Biology; NeurologyOXIDATIVE STRESSProspective cohort studyELDERLY-PATIENTSPOPULATIONeducation.field_of_studyFrailtyHazard ratioMENASSOCIATION16. Peace & justiceCardiovascular disease3. Good healthMIDLIFE OBESITYNeurologyCardiovascular DiseasesMeta-analysis1305 BiotechnologyRisk assessmentCardiovascular disease; Frailty; Meta-analysis; Aged; Frail Elderly; Humans; Prevalence; Risk Assessment; Risk Factors; Cardiovascular DiseasesBiotechnologymedicine.medical_specialtyWOMENS-HEALTHFrail ElderlyPopulationCardiovascular disease; Frailty; Meta-analysis; Biotechnology; Biochemistry; Aging; Molecular Biology; Neurology610 Medicine & healthfrailtyFrailty Cardiovascular disease Meta-analysisRisk AssessmentArticle03 medical and health sciences1302 AgingInternal medicine1312 Molecular BiologyHumansCORONARY-HEART-DISEASERisk factorFrailty cardiovascular disease meta-analysiseducationMolecular BiologyAgedbusiness.industryAGE FRAILTYOdds ratio10060 Epidemiology Biostatistics and Prevention Institute (EBPI)Confidence intervalmeta-analysisMeta-analysis3121 General medicine internal medicine and other clinical medicine2808 NeurologyFOLLOW-UPbusiness
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Changing geographical patterns and trends in cancer incidence in children and adolescents in Europe, 1991–2010 (Automated Childhood Cancer Informatio…

2018

List of ACCIS contributors = Monika Hackl, Anna Zborovskaya, Nadya Dimitrova, Zdravka Valerianova, Ladislav Dušek, Margit Mägi, Alain Monnereau, Jacqueline Clavel, Michel Velten, Anne-Valérie Guizard, Véronique Bouvier, Xavier Troussard, Anne-Sophie Woronoff, Emilie Marrer, Brigitte Trétarre, Marc Colonna, Olivier Ganry, Pascale Grosclaude, Berndt Holleczek, Zsuzsanna Jakab, Laufey Tryggvadóttir, Lucia Mangone, Franco Merletti, Stefano Ferretti, Bianca Caruso, Maria Michiara, Rosario Tumino, Fabio Falcini, Roberto Zanetti, Giovanna Tagliabue, Otto Visser, Giske Ursin, Ryszard Mężyk, Kamila Kepska, José Laranja Pontes, Maja Primic Žakelj, Rafael Fernández-Delgado, Marisa L Vicente Raneda, En…

MaleCàncer en els infantsTime FactorsCancer in children0302 clinical medicineRisk FactorsNeoplasms030212 general & internal medicineRegistriesAge of OnsetChildmedia_commoneducation.field_of_studyCancer in adolescenceIncidence (epidemiology)Incidence3. Good healthEuropeOncology030220 oncology & carcinogenesisRegional studiesChild PreschoolFemale2730 OncologyAdolescentPopulationChildhood cancerSocio-culturale610 Medicine & healthRisk AssessmentArticle03 medical and health sciencesYoung AdultAge DistributionSDG 3 - Good Health and Well-beingmedicinemedia_common.cataloged_instanceHumansCàncer en els adolescentsEuropean unioneducationbusiness.industryInfant NewbornCancerInfantHealth Status Disparities10060 Epidemiology Biostatistics and Prevention Institute (EBPI)medicine.diseasePopulation based studyCancer incidencebusinessDemography
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Eating at restaurants, at work or at home. Is there a difference? A study among adults of 11 European countries in the context of the HECTOR* project

2016

BACKGROUND/OBJECTIVES: To compare macronutrient intakes out of home-by location-to those at home and to investigate differences in total daily intakes between individuals consuming more than half of their daily energy out of home and those eating only at home.SUBJECTS/METHODS: Data collected through 24-h recalls or diaries among 23766 European adults. Participants were grouped as 'non-substantial', 'intermediate' and 'very substantial out-of-home' eaters based on energy intake out of home. Mean macronutrient intakes were estimated at home and out of home (overall, at restaurants, at work). Study/cohort-specific mean differences in total intakes between the 'very substantial out-of-home' and…

AdultMale0301 basic medicineGerontologyRestaurantsAlcohol DrinkingMedicine (miscellaneous)Context (language use)610 Medicine & healthDiet SurveysEating03 medical and health sciencesSex FactorsFeeding behaviorSex factorsEnvironmental healthDietary CarbohydratesHumansMedicine030109 nutrition & dieteticsNutrition and Dieteticsbusiness.industryAdult; Alcohol Drinking; Diet; Diet Records; Diet Surveys; Dietary Carbohydrates; Dietary Fats; Dietary Proteins; Energy Intake; Europe; Female; Humans; Linear Models; Male; Mental Recall; Sex Factors; Eating; Feeding Behavior; RestaurantsDietary intakeHealth sciences Medical and Health sciencesCiências médicas e da saúde2701 Medicine (miscellaneous)Feeding Behavior10060 Epidemiology Biostatistics and Prevention Institute (EBPI)medicine.diseaseDietary FatsObesityDiet RecordsDiet SurveysDietEuropeWork (electrical)Mental RecallLinear ModelsMedical and Health sciences2916 Nutrition and DieteticsFemaleDietary ProteinsCiências da Saúde Ciências médicas e da saúdeEnergy IntakebusinessBody mass index
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Worldwide trends in population-based survival for children, adolescents, and young adults diagnosed with leukaemia, by subtype, during 2000–14 (CONCO…

2022

BACKGROUND Leukaemias comprise a heterogenous group of haematological malignancies. In CONCORD-3, we analysed data for children (aged 0-14 years) and adults (aged 15-99 years) diagnosed with a haematological malignancy during 2000-14 in 61 countries. Here, we aimed to examine worldwide trends in survival from leukaemia, by age and morphology, in young patients (aged 0-24 years). METHODS We analysed data from 258 population-based cancer registries in 61 countries participating in CONCORD-3 that submitted data on patients diagnosed with leukaemia. We grouped patients by age as children (0-14 years), adolescents (15-19 years), and young adults (20-24 years). We categorised leukaemia subtypes a…

AdolescentAustralia610 Medicine & healthlymphomaSettore MED/42 - Igiene Generale E ApplicatasurvivalUnited StatesEuropeLeukemia Myeloid AcuteYoung Adultchildrenpopulation-based/cancer registry360 Social problems & social servicessurvival leukemia cancer registryHematologic NeoplasmsleukaemiaPediatrics Perinatology and Child HealthDevelopmental and Educational PsychologycancerHumansRegistrieshaematological malignancy610 Medicine & healthChild360 Social problems & social services
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Comparing the results of a cholesterol and saturated fat screener when using two different scores.

2003

Screener are useful instruments for categorising individuals according to their nutrient intake. To accurately classify the individuals it is important to correctly analyse the screener. Therefore we compared a simple and a weighed score of a cholesterol and saturated fat (SF) screener with the cholesterol and SF intake, respectively, calculated from an extensive food frequency questionnaire. The validation results did not change when a weighed score was used instead of the simple one, indicating that a simple score does not introduce a higher amount of misclassification.

AdultMalemedicine.medical_specialtyEpidemiologySaturated fateducationNutrient intakeStatistics NonparametricCholesterol Dietarychemistry.chemical_compoundEnvironmental healthGermanySurveys and QuestionnairesEpidemiologyMedicineNutrition surveyHumansMass Screeningbusiness.industryCholesterolFatty AcidsFood frequency questionnaireMiddle AgedDietary FatsSurgeryNutrition AssessmentchemistryFemalebusinessEnergy IntakeEuropean journal of epidemiology
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