Socioeconomic gradient in functional difficulties by domain among youth
Evidence from Egypt
Bibliographic Data
| ID | 21342552 |
|---|---|
| Authors | Soha Metwally (0000-0001-6108-8809, Cairo University, corresponding author) |
| Year | 2024 |
| Volume | 56 |
| Issue | 4 |
| Pages | 715-730 |
| Publication date | 2024-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Biosocial Science (JOURNAL) |
| Journal identifiers | ISSN: 0021-9320 • E-ISSN: 1469-7599 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0021932024000191 |
| PMID | 38712597 |
| OpenAlex | W4396705387 |
| Language | EN |
| References cited | 21 |
This study aims to measure inequalities in the distribution of functional difficulties and their different domains among youth aged 15–29 years in Egypt, according to selected socioeconomic characteristics (e.g. wealth quantiles and education level of the head of the household). The data come from the nationally representative survey, ‘Household Observatory Survey’, with 10,405 persons aged 15–29 years representing the study sample population. The survey identifies individuals with disabilities using the Washington Group Short questions. Inequalities in disability distribution have been measured by the concentration index (CI). The results indicate that functional difficulties have been concentrated among the poorest youth and households headed by illiterate persons. Rural areas have the highest concentration of disabilities among youth, with the lowest wealth and the lowest educational level of the head of the household. The CI suggests the existence of socioeconomic inequalities in all functional difficulties except for seeing difficulties. Understanding which factors more substantially contribute to inequalities is critical for advancing policies devoted to enhancing the quality of life for individuals with disabilities
Distribution (mathematics) · Geography · Inequality · Population · Quantile · Socioeconomic status · Socioeconomics · Sociology · Statistics · Survey data collection · Survey sampling · Demography · Global Health Care Issues · Health disparities and outcomes · Healthcare Systems and Reforms · Mathematics · Medicine · Psychology · Gerontology
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| Highly cited | No |
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