Evidence map›Paper›PMID 41211375›Full record

Observational studyFrontiers in public health2025

An intersectionality perspective on tuberculosis: social determinants affecting tuberculosis mortality rate in Ecuador.

Ángel Sebastián Rodríguez-Pazmiño, Darwin Paredes-Núñez, Daniel Ramos-Sarmiento, Karina Lalangui-Vivanco, Solon Alberto Orlando, Alexandra Narvaez, Greta Franco-Sotomayor, Miguel Angel Garcia-Bereguiain

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ángel Sebastián Rodríguez-PazmiñoOne Health Research Group, Universidad de Las Américas, Quito, Ecuador.
Darwin Paredes-Núñez *One Health Research Group, Universidad de Las Américas, Quito, Ecuador.
Daniel Ramos-Sarmiento *Centro de Investigación en Salud Pública y Epidemiología Clínica (CISPEC), Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador.
Karina Lalangui-Vivanco *Centro de Investigación en Salud Pública y Epidemiología Clínica (CISPEC), Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador.
Solon Alberto OrlandoInstituto Nacional de Salud Pública e Investigación, Guayaquil, Ecuador.
Alexandra NarvaezUniversidad Espíritu Santo, Guayaquil, Ecuador.
Greta Franco-SotomayorInstituto Nacional de Salud Pública e Investigación, Guayaquil, Ecuador.
Miguel Angel Garcia-BereguiainOne Health Research Group, Universidad de Las Américas, Quito, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Intersectionality approach to studying tuberculosis (TB) is a complex one. While historical data and indicators consistently suggest a positive correlation between social determinants, such as poverty, and TB mortality, the strength of this association varies across different regions and countries. Overcrowding and population density are also recognized as risk factors for TB transmission. Methods: In this study, we conducted a descriptive and observational statistical analysis of TB mortality in Ecuador using the most recent public data from 2010. We examined the association between TB mortality and poverty, as well as territorial distribution, population density, and overcrowding. Results: Our univariate analysis results indicate that the rural parishes or canton capitals in the first quintile of poverty (Q1) had the highest average mortality rates (14.23 per 100,000 inhabitants). Furthermore, the average TB mortality ratio was substantially higher in rural areas compared to urban ones (12.72 vs. 7.5 per 100,000 inhabitants). Interestingly, zones with the highest population density had a significantly lower average TB mortality ratio than those with the lowest density (4.82 vs. 15.19 per 100,000 inhabitants). Likewise, overcrowding analysis reveals a significant difference between the group with the highest level (O1) vs. the lowest one (O5; 14.3 vs. 6.8 per 100,000 inhabitants). On the other hand, a multivariate linear regression model agrees that three of the four independent variables evaluated had statistically significant associations with tuberculosis mortality rate. The percentage of poverty, living in a rural area, and population density were significant predictors of higher mortality. In contrast, the level of overcrowding, as determined by multivariate analysis, did not show a significant association when the other independent variables were taken into account. Discussion: These findings reinforce the strong link between TB mortality and poverty, rurality, a discreet relationship with overcrowding, and an inverse relationship with population density in the Ecuadorian context, highlighting the need for targeted public health interventions in rural underserved communities. Future research should explore how changes in socioeconomic conditions and healthcare access have influenced TB incidence.

Indexed as

PovertySocial Determinants of HealthTuberculosisAdultCrowdingEcuadorFemaleHumansMalePopulation DensityRisk FactorsRural PopulationSocioeconomic FactorsUrban PopulationEcuadorparishespovertyruralitysocial determinantstuberculosis

Identifiers

PMID41211375
PMCPMC12592066

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.