Evidence map›Paper›PMID 37544985›Full record

ArticleArchives of public health = Archives belges de sante publique2023

Dimensionality and invariance of ADL, IADL, BI-M2/WG-SS, and GALI in large surveys in France (2008-2014) and implications for measuring disability in epidemiology.

Joël Coste, Karine Pérès, Jean-Marie Robine, Laure Carcaillon-Bentata

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Joël CosteSanté publique France (French national public health agency), Saint-Maurice, France. joel.coste@santepubliquefrance.fr.
Karine PérèsUniversity of Bordeaux, INSERM, Bordeaux Population Health, U1219, Bordeaux, France.
Jean-Marie Robine3MMDN, University of Montpellier, EPHE, INSERM, Montpellier, France.
Laure Carcaillon-BentataSanté publique France (French national public health agency), Saint-Maurice, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe epidemiological investigation and surveillance of disability requires well-constructed, invariant, and, if possible, exchangeable measures. However, the current or recommended measures have not been thoroughly investigated with respect to these issues. Here we examined the dimensional structure and invariance of four measures across sociodemographic groups: Activities of Daily Living (ADL), Instrumental Activities of Daily Living (IADL), Budapest Initiative Mark 2 (BI-M2) and Washington Group on Disability Statistics Short Set (WG-SS), and Global Activity Limitation Indicator (GALI).

methodsWe used data from three large nationwide representative surveys conducted in France between 2008 and 2014. The surveys included these four measures and classical and modern approaches (correlations, principal component analysis, Rasch modeling) were used to assess their dimensional structure as well as their invariance through differential item functioning (DIF) for sociodemographic characteristics. Polytomous logistic regression models were used to assess gradients in health inequalities associated with these measures.

resultsFor many items of ADL, IADL, and BI-M2/WG-SS, we consistently observed disordered response thresholds, rejection of unidimensionality, and DIF evidence for sociodemographic characteristics across the survey samples. Health inequality gradients were erratic. In addition, it was impossible to identify a common continuum for GALI, ADL, IADL, and BI-M2/WG-SS or their constituent items.

conclusionThis study warns against the current practice of investigating disability in epidemiology using measures that are unsuitable for epidemiological use, incommensurable, and inadequate regarding the basic requisites of dimensionality and invariance. Developing invariant measures and equating them along a common continuum to enlarge the common bases of measurement should therefore be a priority.

Indexed as

Differential item functioningDisabilityIncommensurabilityMeasurementRasch modelUnidimensionality

Identifiers

PMID37544985
PMCPMC10405560

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