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RESEARCH PRODUCT
Depression and obesity, data from a national administrative database study: Geographic evidence for an epidemiological overlap
J.-c. Chauvet-gelinierCatherine QuantinCatherine QuantinCatherine QuantinAdrien RoussotJean-michel PetitBruno VergèsMarie-claude BrindisiJonathan CottenetJonathan CottenetBernard Boninsubject
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 placesbusinessDemographydescription
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 medico-administrative databases, and we assessed their location. In addition, a multivariable analysis was performed in order to determine geographic interactions between obesity and depression after controlling for age, sex, environmental and socio-economic factors (social/material deprivation, urbanicity/rurality).Results1,045,682 people aged 18 years and older were identified. The mapping analysis showed several cold and hot regional clusters of coinciding obesity and depression. The multivariable analysis demonstrated significant geographic interactions, with an increasing probability of finding a high prevalence of obesity in regions with major depression (OR 1.29 95% CI 1.13-1.49, p = 0.0002) and an increased probability of finding a high prevalence of depression in regions with a high ration of obesity (OR 1.32, 95% CI 1.15-1.52, pConclusionOur study confirms the significant bidirectional relationships between obesity and depression at a group level. French geographic patterns reveal a partial overlap between obesity and depression, suggesting these two diseases can be included in a common approach. Further studies should be done to increase the understanding of this complex comorbidity.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-01-08 | PLoS ONE |