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Collecting and Analysing Physical Measure and Biomarker Data in Surveys |
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| Chair | Dr Roberto Lillini (San Raffaele University, Milan) |
In September 2010 two consultants from the University of Michigan assisted with a Train the Trainer session in Mumbai India for the Longitudinal Aging Study (LASI) pilot, an HRS-like study which included Physical Measures and Bio-Marker collection protocols. The LASI team had a comprehensive set of measurements included in the pilot study in order to collect blood spots, blood pressure, lung capacity, grip strength, balance, height, weight, and a vision test. Innovative collection approaches were developed to meet the cultural expectations in the 14 states were the pilot was to be conducted. This presentation will describe these strategies.
OBJECTIVE: This study was aimed at finding the best method to describe the relationships between cancer incidence and deprivation of population at small area level.
METHODS: The population was clustered using the National Deprivation Index (NDI) and the Genoa Deprivation Index (GDI), both utilising data at municipality or districts levels (2001 Census). For both, five traits, representing the multidimensionality of the deprivation concept, have been selected, but the included variables are quite opposite. The 1999-2003 Standardised Incidence Ratios (SIR) of all cancers combined and 35 tumour sites were computed by each index. The SIR and their 95% confidence intervals were calculated by gender and age groups (all ages, 0-64 and 65+). In order to evaluate if deprivation influenced the incidence, the analysis of between groups variance of the SIR was computed. RESULTS: The application of GDI surfaced many significant associations between cancer incidence and deprivation, particularly for women. NDI did not identify correctly the main part of negative linear trends identified by GDI.
CONCLUSIONS: The GDI cannot be considered a "pure" deprivation index, but it is useful for public health purposes, due to its capability of discriminating SE clusters in a quite homogenous population like the Genoa one.