Methods to assess the contribution of diseases to disability using cross-sectional studies: comparison of different versions of the attributable fraction and the attribution method | Zendy

Clémence Palazzo | Zendy; Renata T C Yokota | Zendy; John Ferguson | Zendy; Jean Tafforeau | Zendy; JeanFrançois Ravaud | Zendy; Herman Van Oyen | Zendy; Wilma J. Nusselder | Zendy

Open Access

Methods to assess the contribution of diseases to disability using cross-sectional studies: comparison of different versions of the attributable fraction and the attribution method

Author(s) -

Clémence Palazzo,

Renata T C Yokota,

John Ferguson,

Jean Tafforeau,

JeanFrançois Ravaud,

Herman Van Oyen,

Wilma J. Nusselder

Publication year - 2018

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyy222

Subject(s) - confounding , ranking (information retrieval) , cross sectional study , attribution , medicine , population , public health , logistic regression , fraction (chemistry) , disease , epidemiology , environmental health , gerontology , demography , statistics , psychology , mathematics , computer science , pathology , social psychology , chemistry , organic chemistry , machine learning , sociology

This study aims to illustrate the differences between approaches proposed for apportioning disability to different diseases in a multicausal situation, i.e. the unadjusted attributable fraction (AF), the adjusted AF, the average AF and the attribution method (AM). This information is useful to better interpret results obtained from cross-sectional data and help policy makers decide on public health strategies.

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