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

Jean-Christophe Chauvet-Gélinier (1, 2) , Adrien Roussot (3, 4) , Jonathan Cottenet (3, 5, 4) , Marie-Claude Brindisi (6, 2) , Jean-Michel Petit (6, 2) , Bernard Bonin (7, 4) , Bruno Vergès (6, 2) , Catherine Quantin (3, 8, 4, 5)

1 Service de psychiatrie générale et addictologie [CHU de Dijon]
2 LNC - Lipides - Nutrition - Cancer [Dijon - U1231]
3 DIM - Service Biostatistiques et Informatique Médicale (CHU de Dijon)
4 UBFC - Université Bourgogne Franche-Comté [COMUE]
5 CIC-EC - Centre d'Investigation Clinique 1432 (Dijon) - Epidemiologie Clinique/Essais Cliniques
6 Service d'Endocrinologie, Diabétologie et Maladies Métaboliques (CHU de Dijon)
7 PSY-DREPI - Laboratoire de psychologie : dynamiques relationnelles et processus identitaires [Dijon]
8 B2PHI - Biostatistique, Biomathématique, Pharmacoépidémiologie et Maladies Infectieuses

BACKGROUND: Depression 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. METHODS: Data 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). RESULTS: 1,045,682 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, p<0.0001). CONCLUSION: Our 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.

Domaines: Psychiatrie et santé mentale; Endocrinologie et métabolisme; Santé publique et épidémiologie

Jean-Christophe Chauvet-Gélinier, Adrien Roussot, Jonathan Cottenet, Marie-Claude Brindisi, Jean-Michel Petit, et al.. Depression and obesity, data from a national administrative database study: Geographic evidence for an epidemiological overlap. PLoS ONE, 2019, 14 (1), pp.e0210507. ⟨10.1371/journal.pone.0210507⟩. ⟨hal-01983496⟩