Measuring health inequalities
Implications of Choosing Different Socioeconomic Indicators
Bibliographic Data
| ID | 5166061 |
|---|---|
| Authors | Maria Laura Braccini Fagundes (0000-0001-5548-7408, Universidade Federal de Santa Maria), Orlando Luiz Do Amaral Júnior (0000-0002-6611-3871, Universidade Federal de Santa Maria), Gabriele Rissotto Menegazzo (0000-0002-4181-0267, Universidade Federal de Santa Maria), Fernando Neves Hugo (0000-0003-2222-7719, Universidade Federal do Rio Grande do Sul), Jessye Melgarejo Do Amaral Giordani (0000-0002-3825-9734, Universidade Federal de Santa Maria) |
| Year | 2022 |
| Volume | 38 |
| Issue | 1 |
| Pages | e00035521-e00035521 |
| Publication date | 2022-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cadernos de Saude Publica (JOURNAL) |
| Journal identifiers | ISSN: 0102-311X • E-ISSN: 1678-4464 |
| Publisher | FapUNIFESP (SciELO) (PUBLISHER) |
| DOI | 10.1590/0102-311x00035521 |
| PMID | 35107506 |
| OpenAlex | W4210243731 |
| SCIELO_PID | S0102-311X2022000105018 |
| Language | EN |
| Citations received | 3 |
| References cited | 20 |
We aimed to verify the association between different socioeconomic indicators and self-rated health in a nationally representative sample of older adults. This cross-sectional study analyzed the baseline data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil), a population-based cohort study of persons aged 50 years or older. Data was collected using a household and an individual questionnaire at participants' households. Self-rated health was assessed by a global self-rating item. Three socioeconomic indicators were assessed: individual income, per capita household income, and wealth index. Poisson regression models were performed to estimate the prevalence ratio (PR) and 95% confidence intervals (95%CI) of self-rated health and each socioeconomic indicator, adjusting for covariates. In total, 9,390 older adults answered the outcome question. Whilst for the individual income indicator only the richest quintile showed a statistically significant association with the outcome (PR: 0.90; 95%CI: 0.87; 0.93), for the per capita household income, the fourth (PR: 0.95; 95%CI: 0.91; 0.98) and the fifth quintiles (PR: 0.90; 95%CI: 0.86; 0.94) remained associated with the outcome. Regarding the wealth index, only the second quintile was not associated with the outcome, with lower prevalence of poor self-rated health as richer was the quintile, showing a social gradient. The wealth index seems to be a more adequate indicator, as it reflects resources accumulated over the life course
Cohort · Cohort study · Confidence interval · Household income · Per capita · Poisson regression · Sample (material) · Social class · Socioeconomic status · Health disparities and outcomes · Health Systems, Economic Evaluations, Quality of Life · Insurance, Mortality, Demography, Risk Management
Measuring Coverage in MNCH
Measuring socio-economic position for epidemiological studies in low- and middle-income countries
Principal component analysis
What difference does the choice of SES make in health inequality measurement?
The Brazilian Longitudinal Study of Aging (Elsi-Brazil)
The Influence Of Income On Health
Life course socioeconomic inequalities and oral health status in later life
Socioeconomic inequalities in activities of daily living limitations and in the provision of informal and formal care for noninstitutionalized older Brazilians
Self-reported oral and general health in relation to socioeconomic position
Explaining socioeconomic inequalities in self-rated health
The Relationship among Income, other Socioeconomic Indicators, and Functional Level in Older Persons
SES Differentials in Health by Age and Alternative Indicators of SES
Indicators of socioeconomic position (part 1)
Optimal Indicators of Socioeconomic Status for Health Research
Socioeconomic Inequalities in Health in Older Adults in Brazil and England
Dimensions of self-rated health in older adults
What is self-rated health and why does it predict mortality? Towards a unified conceptual model
On the measurement of inequalities in health
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |