Dataset Information

Educational inequalities in Global Activity Limitation Indicator disability in 28 European Countries: Does the choice of survey matter?

ABSTRACT:

Objectives

To assess the sensitivity of prevalence and inequality estimates of Global Activity Limitation Indicator (GALI) to the choice of survey in European countries.

Methods

We use logistic regression to estimate adjusted risk ratios, quantifying differences in prevalence and educational inequalities, the impact of survey characteristics and Kendall's tau to assess similarity in country rankings between surveys. We include the European Health Interview Survey (EHIS), European Social Survey (ESS) and European Union Statistics on Income and Living Conditions (EU-SILC).

Results

EHIS estimates higher prevalence than EU-SILC 17% (men) and 23% (women), and ESS 24% (men) and 29% (women). Prevalence does not differ significantly between EU-SILC and ESS. EU-SILC estimates 52.5% (men) and 28.1% (women) higher inequalities than EHIS and 63.2% (men) and 32.7% (women) higher inequalities than ESS. Survey characteristics do not account for differences in prevalence or inequalities. Country rankings do not agree for prevalence or inequalities.

Conclusions

Survey choice strongly impacts estimates of GALI prevalence and educational inequalities. Further study is necessary to understand these discrepancies. Caution is required when using these surveys for cross-country comparisons of (educational inequalities in) GALI disability.

SUBMITTER: Rubio-Valverde JR

PROVIDER: S-EPMC6451713 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Publications

Educational inequalities in Global Activity Limitation Indicator disability in 28 European Countries: Does the choice of survey matter?

Rubio-Valverde Jose R JR Nusselder Wilma J WJ Mackenbach Johan P JP

International journal of public health 20181126 3

<h4>Objectives</h4>To assess the sensitivity of prevalence and inequality estimates of Global Activity Limitation Indicator (GALI) to the choice of survey in European countries.<h4>Methods</h4>We use logistic regression to estimate adjusted risk ratios, quantifying differences in prevalence and educational inequalities, the impact of survey characteristics and Kendall's tau to assess similarity in country rankings between surveys. We include the European Health Interview Survey (EHIS), European ...[more]

PMID: 30478617

Similar Datasets

Project description:ObjectiveThe study investigates the trends in health-related inequalities in paid employment among men and women in different educational groups in 26 countries in 5 European regions.DesignIndividual-level analysis of repeated cross-sectional annual data (2005-2014) from the EU Statistics on Income and Living Conditions.Setting26 European countries in 5 European regions.Participants1 844 915 individuals aged 30-59 years were selected with information on work status, chronic illness, educational background, age and gender.Outcome measuresAbsolute differences were expressed by absolute differences in proportion in paid employment between participants with and without a chronic illness, using linear regression. Relative differences were expressed by prevalence ratios in paid employment, using a Cox proportional hazard model. Linear regression was used to examine the trends of inequalities.ResultsParticipants with a chronic illness had consistently lower labour force participation than those without illnesses. Educational inequalities were substantial with absolute differences larger within lower educated (men 21%-35%, women 10%-31%) than within higher educated (men 5%-13%, women 6%-16%). Relative differences showed that low-educated men with a chronic illness were 1.4-1.9 times (women 1.3-1.8 times) more likely to be out of paid employment than low-educated persons without a chronic illness, whereas this was 1.1-1.2 among high-educated men and women. In the Nordic, Anglo-Saxon and Eastern regions, these health-related educational inequalities in paid employment were more pronounced than in the Continental and Southern region. For most regions, absolute health-related educational inequalities in paid employment were generally constant, whereas relative inequalities increased, especially among low-educated persons.ConclusionsMen and women with a chronic illness have considerable less access to the labour market than their healthy colleagues, especially among lower educated persons. This exclusion from paid employment will increase health inequalities.

Dataset Information

Educational inequalities in Global Activity Limitation Indicator disability in 28 European Countries: Does the choice of survey matter?

Objectives

Methods

Results

Conclusions

Publications

Educational inequalities in Global Activity Limitation Indicator disability in 28 European Countries: Does the choice of survey matter?

Similar Datasets

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