Print Email Facebook Twitter The impact of area deprivation on differences in health: Does the choice of the geographical classification matter? Title The impact of area deprivation on differences in health: Does the choice of the geographical classification matter? Author Reijneveld, S.A. Verheij, R.A. de Bakker, D.H. TNO Preventie en Gezondheid Publication year 2000 Abstract Objective - Many studies show the average health status in deprived areas to be poorer and the use of health care to be higher, but there is hardly any information on the impact of the geographical classification on the size of these differences. This study examines the impact of the geographical classification on the clustering of poor health per area and on the size of the differences in health by area deprivation. Design - Data on self reported health regarding 5121 people were analysed using three classifications: neighbourhoods, postcode sectors and boroughs. Multilevel logistic models were used to determine the clustering of poor health per area and the size of the differences in health by area deprivation, without and subsequently with adjustment for individual socioeconomic status. Setting - General population aged 16 years and over of Amsterdam, the Netherlands. Main outcome measures - Self rated health, mental symptoms (General Health Questionnaire, 12-item version), physical symptoms and long term functional limitations. Main results - The clustering of poor health is largest in neighbourhoods and smallest in postcode sectors. Health differences by area deprivation differ only slightly for the three geographical classifications, both with and without adjustment for individual socioeconomic status. Conclusions - In this study, the choice of the geographical classification affects the degree of clustering of poor health by area but it has hardly any impact on the size of health differences by area deprivation. Subject HealthClassificationHealth servicesMedical geographyMethodologyGeographic distributionLowest income groupMajor clinical studyMental healthSocioeconomicsStatistical analysisAdolescentAdultAgedCluster AnalysisFemaleHealth StatusHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPovertyPoverty AreasSocioeconomic FactorsNetherlands To reference this document use: http://resolver.tudelft.nl/uuid:fc1c4948-9578-43ae-9730-80104b0f841f DOI https://doi.org/10.1136/jech.54.4.306 TNO identifier 235515 ISSN 0143-005X Source Journal of Epidemiology and Community Health, 54 (4), 306-313 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.