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Geographical Variability in Mortality in Urban Areas: A Joint Analysis of 16 Causes of Death
Miguel A. Martínez‐Beneito, Carlos Vergara-Hernández, Paloma Botella-Rocamora, Francisca Corpas‐Burgos, Jordi Pérez‐Panadés, Óscar Zurriaga, Elena Aldasoro, Carme Borrell et al.. International Journal of Environmental Research and Public Health, 2021-05-25
Topic: Risk, prevention and care in population studies
The geographical distribution of mortality has frequently been studied. Nevertheless, those studies often consider isolated causes of death. In this work, we aim to study the geographical distribution of mortality in urban areas, in particular, in 26 Spanish cities. We perform an overall study of 16 causes of death, considering that their geographical patterns could be dependent and estimating the dependence between the causes of death. We study the deaths in these 26 cities during the period 1996-2015 at the census tract level. A multivariate disease mapping model is used in order to solve the potential small area estimation problems that these data could show. We find that most of the geographical patterns found show positive correlations. This suggests the existence of a transversal geographical pattern, common to most causes of deaths, which determines those patterns to a higher/lower extent depending on each disease. The causes of death that exhibit that underlying pattern in a more prominent manner are chronic obstructive pulmonary disease (COPD), lung cancer, and cirrhosis for men and cardiovascular diseases and dementias for women. Such findings are quite consistent for most of the cities in the study. The high positive correlation found between geographical patterns reflects the existence of both high and low-risk areas in urban settings, in general terms for nearly all the causes of death. Moreover, the high-risk areas found often coincide with neighborhoods known for their high deprivation. Our results suggest that dependence among causes of death is a key aspect to be taken into account when mapping mortality, at least in urban contexts.
Key findings
- We perform an overall study of 16 causes of death, considering that their geographical patterns could be dependent and estimating the dependence between the causes of death.
- Our results suggest that dependence among causes of death is a key aspect to be taken into account when mapping mortality, at least in urban contexts.
Why it matters
This study looked at the geographic distribution of 16 causes of death, including dementias, across 26 Spanish cities and found that many causes shared similar geographic patterns. It does not test any treatment, cure or prevention, and the authors say dependence among causes of death should be considered when mapping mortality.
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Study details
- Evidence strengthLow
How this study scored 39/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 37 of the 96 points we could judge it on, which is 39 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (International Journal of Environmental Research and Public Health) |
| Journal's citation record | 3 / 4 | International Journal of Environmental Research and Public Health: journal h-index 320 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2021 — within 6 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 2 / 7 | Cited 7 times (OpenAlex, 2026-10-10) |
| Citations per year | 1 / 5 | 1.0 citations a year over 7 year(s) since 2021 |
| Impact for its field and year | 1 / 6 | Cited 0.8× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 1 / 4 | Cited 3 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | 1 / 3 | Universitat de València: institution h-index 846 (OpenAlex) |
| Multi-centre collaboration | 3 / 3 | OpenAlex lists 15 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 34070635) |
| Free to read | 2 / 2 | Free to read |
| Points | 37 / 96 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 37 of the 96 points we could judge it on is 39 out of 100. |
| Total | 39 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.3390/ijerph18115664
- PubMed: 34070635
- Original source →
- Free full text: International Journal of Environmental Research and Public Health →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
APA 7th
Martínez‐Beneito, M. A., Vergara-Hernández, C., Botella-Rocamora, P., Corpas‐Burgos, F., Pérez‐Panadés, J., Zurriaga, Ó., et al. (2021). Geographical Variability in Mortality in Urban Areas: A Joint Analysis of 16 Causes of Death. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph18115664
Vancouver
Martínez‐Beneito MA, Vergara-Hernández C, Botella-Rocamora P, Corpas‐Burgos F, Pérez‐Panadés J, Zurriaga Ó, et al. Geographical Variability in Mortality in Urban Areas: A Joint Analysis of 16 Causes of Death. International Journal of Environmental Research and Public Health. 2021. doi:10.3390/ijerph18115664. PMID: 34070635.
BibTeX
@article{martinezbeneito2021-34070635,
author = {Martínez‐Beneito, Miguel A. and Vergara-Hernández, Carlos and Botella-Rocamora, Paloma and Corpas‐Burgos, Francisca and Pérez‐Panadés, Jordi and Zurriaga, Óscar and Aldasoro, Elena and Borrell, Carme and others},
title = {{Geographical Variability in Mortality in Urban Areas: A Joint Analysis of 16 Causes of Death}},
journal = {International Journal of Environmental Research and Public Health},
year = {2021},
doi = {10.3390/ijerph18115664},
pmid = {34070635},
url = {https://doi.org/10.3390/ijerph18115664}
}