title: [Study of self-reported health of people living near point sources of environmental pollution: a review. Second part: analysis of results and perspectives].
abstract: BACKGROUND
  Epidemiological studies have investigated the health impacts of local sources of environmental pollution using as an outcome variable self-reported health, reflecting the overall perception interviewed people have of their own health. This work aims at analyzing the advantages and the results of this approach. This second part presents the results of the studies.
  
  
  METHODS
  Based on a literature review (51 papers), this article presents an analysis of the contribution of self-reported health to epidemiological studies investigating local sources of environmental pollution. It discusses the associations between self-reported health and exposure variables, and other risk factors that can influence health reporting.
  
  
  RESULTS
  Studies using self-reported health showed that local sources can be associated with a wide range of health outcomes, including an impact on mental health and well-being. The perception of pollution, especially sensory information such as odors, affects self-reported health. Attitudes referring to beliefs, worries and personal behaviors concerning the source of pollution have a striking influence on reported health. Attitudes can be used to estimate the reporting bias in a biomedical approach, and also constitute the main explanatory factors in biopsychosocial studies taking into account not only the biological, physical, and chemical factors but also the psychological and social factors at stake in a situation of environmental exposure.
  
  
  CONCLUSIONS
  Studying self-reported health enables a multifactorial approach to health in a context of environmental exposure. This approach is most relevant when conducted within a multidisciplinary framework involving human and social sciences to better understand psychosocial factors. The relevance of this type of approach used as an epidemiological surveillance tool to monitor local situations should be assessed with regard to needs for public health management of these situations.
authors.affiliation: Institut de veille sanitaire (InVS), 12, rue du Val-d'Osne, 94415 Saint-Maurice cedex, France. c.daniau@invs.sante.fr
authors.forename: C
authors.initials: C
authors.lastname: Daniau
authors.forename: F
authors.initials: F
authors.lastname: Dor
authors.forename: D
authors.initials: D
authors.lastname: Eilstein
authors.forename: A
authors.initials: A
authors.lastname: Lefranc
authors.forename: P
authors.initials: P
authors.lastname: Empereur-Bissonnet
authors.forename: W
authors.initials: W
authors.lastname: Dab
mesh_terms: D003627:Data Interpretation, Statistical; D004781:Environmental Exposure / Q000009:adverse effects / Q000032:analysis; D004784:Environmental Monitoring / Q000379:methods / Q000706:statistics & numerical data; D004787:Environmental Pollution / Q000032:analysis / Q000706:statistics & numerical data; D016021:Epidemiologic Studies; D006262:Health / Q000706:statistics & numerical data; D006801:Humans; D011634:Public Health / Q000379:methods / Q000706:statistics & numerical data / Q000639:trends; D012111:Residence Characteristics / Q000706:statistics & numerical data; D057566:Self Report
keywords: Bien-être; Environmental health; Epidemiology; Health indicators; Health security; Indicateur de santé; Pollution; Santé déclarée; Santé environnementale; Self-reported health; Sécurité sanitaire; Well-being; Épidémiologie