0000000000465889

AUTHOR

J.-c. Chauvet-gelinier

showing 3 related works from this author

Depression and obesity, data from a national administrative database study: Geographic evidence for an epidemiological overlap

2019

BackgroundDepression and obesity are two major conditions with both psychological and somatic burdens. Some data suggest strong connections between depression and obesity and more particularly associated prevalence of both disorders. However, little is known about the geographical distribution of these two diseases. This study aimed to determine if there is spatial overlap between obesity and depression using data from the entire French territory.MethodsData for 5,627 geographic codes for metropolitan France were collected from the two national hospital databases (PMSI-MCO and RIM-P) for the year 2016. We identified people who were depressed, obese or both registered in the two public medic…

MaleMultivariate analysisSpatial EpidemiologyDatabases FactualPhysiologyEpidemiology[SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental healthSocial SciencesComorbidityGeographical locationsdépression0302 clinical medicineRuralityRisk FactorsEpidemiologyMedicine and Health SciencesPrevalence030212 general & internal medicineDepression (differential diagnoses)Geographic Areas[SDV.MHEP.EM] Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolismMultidisciplinaryGeographyDepressionQRSpatial epidemiology[SDV.MHEP.EM]Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolismMiddle Aged3. Good healthEuropeSanté publique et épidémiologieobésitéPhysiological ParametersépidémiologieMedicineFemaleFranceResearch ArticleUrban AreasAdultmedicine.medical_specialtyScienceMédecine humaine et pathologiezone rurale030209 endocrinology & metabolismHuman GeographyUrban Geography03 medical and health sciencesMental Health and PsychiatrymedicineHumansObesityEuropean UnionAgedDepressive Disorder Majorbusiness.industryMood DisordersBody WeightBiology and Life Sciencesdéveloppement épidémiologiqueenvironnement urbainmedicine.diseaseObesityComorbidityRural Areaszone urbaine[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie[SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental healthMultivariate AnalysisEarth SciencesHuman health and pathology[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieRural areaPeople and placesbusinessDemographyPLoS ONE
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Type A competitiveness traits correlate with downregulation of c-Fos expression in patients with type 1 diabetes.

2019

International audience; AimType A personality has been associated with increased survival in people with type 1 diabetes (T1D). Systemic low-grade inflammation may play a critical role, as suggested in recent reports, although the links between the inflammatory circulating transcriptome and Type A remain unknown. This prompted our exploration of the potential associations between Type A personality and c-Fos gene expression, a candidate gene closely linked to inflammatory processes, in T1D.MethodsType A personality was assessed by Bortner questionnaire in patients with T1D, and two subscales – ‘speed’ and ‘competitiveness’ – were used to measure these specific dimensions of Type A. Expressi…

OncologyAdultMalemedicine.medical_specialtyCandidate geneInverse AssociationCompetitive BehaviorEndocrinology Diabetes and MetabolismDown-RegulationGene Expression030209 endocrinology & metabolismPilot Projects030204 cardiovascular system & hematologyType ATranscriptomeCohort Studies03 medical and health sciencesddc:616.890302 clinical medicineEndocrinologyInternal medicineGene expressionInternal MedicinemedicineHumansGene[SDV.MHEP.EM] Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolismInflammationType 1 diabetesc-FosBlood Cellsbusiness.industryGene Expression ProfilingDiabetesType A and Type B personality theoryType A PersonalityGeneral Medicine[SDV.MHEP.EM]Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolismMiddle Agedmedicine.diseaseCompetitivenessDiabetes Mellitus Type 1businessBody mass indexProto-Oncogene Proteins c-fosDiabetic AngiopathiesPersonalityDiabetesmetabolism
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Analyse géographique de la prévalence de l’obésité et de la dépression à partir des bases du Programme de médicalisation des systèmes d’information e…

2020

Introduction La prise en charge de l’obesite et de la depression represente un poids consequent et en augmentation pour le systeme de soins. Plusieurs etudes ont montre que ces deux pathologies partagent des mecanismes physiopathologiques communs. Par ailleurs, aux Etats-Unis, la repartition spatiale des zones de forte prevalence des deux pathologies presente des similitudes. Cette repartition etant meconnue en France, nous avons cherche si les deux pathologies touchaient les memes territoires. Methodes Nous avons identifie dans le PMSI-MCO les patients presentant un diagnostic d’obesite ou un diagnostic principal de depression. A partir du RIM-P, nous avons identifie les patients presentan…

EpidemiologyPublic Health Environmental and Occupational HealthRevue d'Épidémiologie et de Santé Publique
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