C Julia1, A-J Valleron. 1. AP-HP, Hôpital Saint-Antoine, Unité de Santé Publique, Paris, France. julia@u707.jussieu.fr
Abstract
BACKGROUND: During the early 19th century, contagionists' and anti-contagionists' explanations of disease causes opposed one another, and the Hippocratic miasma theory still predominated. According to that theory, geographic health disparities could be explained by topographical factors: differences in altitude, population density or proximity to a river. This article summarizes the life of Louis-René Villermé (1782-1863) and his major contributions to social epidemiology that proved the association between poverty and mortality. METHODS: In this study, data reported by Villermé to study the mortality-rate variations across the 12 districts (arrondissements) of Paris-that is, 1817-1826 Parisian death rates by district, population density and income indicators-are presented and reanalyzed. RESULTS: Results obtained with today's statistical techniques (correlation analysis) support Villermé's claims of a direct poverty-high death rate link: the three income indicators that he chose were significantly correlated with at-home mortality: taxation index (r=-0.83, p<0.002), average rent (r=-0.83, p<0.002), trade taxation index (r=-0.67, p<0.05), while population density variables were not associated with mortality. CONCLUSION: Villermé was not only a forerunner of social epidemiology, he was also a scientific pioneer by relying on data, not opinions, to challenge or support medical hypotheses.
BACKGROUND: During the early 19th century, contagionists' and anti-contagionists' explanations of disease causes opposed one another, and the Hippocratic miasma theory still predominated. According to that theory, geographic health disparities could be explained by topographical factors: differences in altitude, population density or proximity to a river. This article summarizes the life of Louis-René Villermé (1782-1863) and his major contributions to social epidemiology that proved the association between poverty and mortality. METHODS: In this study, data reported by Villermé to study the mortality-rate variations across the 12 districts (arrondissements) of Paris-that is, 1817-1826 Parisian death rates by district, population density and income indicators-are presented and reanalyzed. RESULTS: Results obtained with today's statistical techniques (correlation analysis) support Villermé's claims of a direct poverty-high death rate link: the three income indicators that he chose were significantly correlated with at-home mortality: taxation index (r=-0.83, p<0.002), average rent (r=-0.83, p<0.002), trade taxation index (r=-0.67, p<0.05), while population density variables were not associated with mortality. CONCLUSION: Villermé was not only a forerunner of social epidemiology, he was also a scientific pioneer by relying on data, not opinions, to challenge or support medical hypotheses.
Authors: Neil T Coffee; Tony Lockwood; Graeme Hugo; Catherine Paquet; Natasha J Howard; Mark Daniel Journal: Int J Health Geogr Date: 2013-04-15 Impact factor: 3.918