↓ Skip to main content

Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review

Overview of attention for article published in Revista de Saúde Pública, October 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
reddit
1 Redditor

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
28 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review
Published in
Revista de Saúde Pública, October 2022
DOI 10.11606/s1518-8787.2022056004178
Pubmed ID
Authors

Maria Yury Ichihara, Andrêa J.F. Ferreira, Camila S. S. Teixeira, Flávia Jôse O. Alves, Aline Santos Rocha, Victor Hugo Dias Diógenes, Dandara Oliveira Ramos, Elzo Pereira Pinto, Renzo Flores-Ortiz, Leila Rameh, Lilia Carolina C. da Costa, Marcos Roberto Gonzaga, Everton E. C. Lima, Ruth Dundas, Alastair Leyland, Maurício L. Barreto

Abstract

Summarize the literature on the relationship between composite socioeconomic indicators and mortality in different geographical areas of Brazil. This scoping review included articles published between January 1, 2000, and August 31, 2020, retrieved by means of a bibliographic search carried out in the Medline, Scopus, Web of Science, and Lilacs databases. Studies reporting on the association between composite socioeconomic indicators and all-cause, or specific cause of death in any age group in different geographical areas were selected. The review summarized the measures constructed, their associations with the outcomes, and potential study limitations. Of the 77 full texts that met the inclusion criteria, the study reviewed 24. The area level of composite socioeconomic indicators analyzed comprised municipalities (n = 6), districts (n = 5), census tracts (n = 4), state (n = 2), country (n = 2), and other areas (n = 5). Six studies used composite socioeconomic indicators such as the Human Development Index, Gross Domestic Product, and the Gini Index; the remaining 18 papers created their own socioeconomic measures based on sociodemographic and health indicators. Socioeconomic status was inversely associated with higher rates of all-cause mortality, external cause mortality, suicide, homicide, fetal and infant mortality, respiratory and circulatory diseases, stroke, infectious and parasitic diseases, malnutrition, gastroenteritis, and oropharyngeal cancer. Higher mortality rates due to colorectal cancer, leukemia, a general group of neoplasms, traffic accident, and suicide, in turn, were observed in less deprived areas and/or those with more significant socioeconomic development. Underreporting of death and differences in mortality coverage in Brazilian areas were cited as the main limitation. Studies analyzed mortality inequalities in different geographical areas by means of composite socioeconomic indicators, showing that the association directions vary according to the mortality outcome. But studies on all-cause mortality and at the census tract level remain scarce. The results may guide the development of new composite socioeconomic indicators for use in mortality inequality analysis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 11%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Professor 2 7%
Student > Master 2 7%
Other 2 7%
Unknown 15 54%
Readers by discipline Count As %
Medicine and Dentistry 5 18%
Nursing and Health Professions 3 11%
Arts and Humanities 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 16 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 October 2022.
All research outputs
#19,961,193
of 25,392,582 outputs
Outputs from Revista de Saúde Pública
#868
of 1,139 outputs
Outputs of similar age
#305,032
of 439,413 outputs
Outputs of similar age from Revista de Saúde Pública
#9
of 13 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,139 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 439,413 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.