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The temporal trend of cause-specific mortality: comparing Estonia and Lithuania, 2001 – 2019
BACKGROUND: Despite being two Baltic countries with similar histories, Estonia and Lithuania have diverged in life expectancy trends in recent years. We investigated this divergence by comparing cause-specific mortality trends. METHODS: We obtained yearly mortality data for individuals 20 + years of...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618211/ https://www.ncbi.nlm.nih.gov/pubmed/36310159 http://dx.doi.org/10.1186/s12889-022-14354-8 |
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author | Tran, Alexander Stoppel, Relika Jiang, Huan Kim, Kawon Victoria Lange, Shannon Petkevičienė, Janina Radišauskas, Ričardas Štelemėkas, Mindaugas Telksnys, Tadas Zafar, Anush Rehm, Jürgen |
author_facet | Tran, Alexander Stoppel, Relika Jiang, Huan Kim, Kawon Victoria Lange, Shannon Petkevičienė, Janina Radišauskas, Ričardas Štelemėkas, Mindaugas Telksnys, Tadas Zafar, Anush Rehm, Jürgen |
author_sort | Tran, Alexander |
collection | PubMed |
description | BACKGROUND: Despite being two Baltic countries with similar histories, Estonia and Lithuania have diverged in life expectancy trends in recent years. We investigated this divergence by comparing cause-specific mortality trends. METHODS: We obtained yearly mortality data for individuals 20 + years of age from 2001–2019 (19 years worth of data) through Statistics Lithuania, the Lithuanian Institute for Hygiene, and the National Institute for Health Development (Estonia). Using ICD-10 codes, we analyzed all-cause mortality rates and created eight major disease categories: ischemic heart disease, cerebrovascular disease, all other cardiovascular disease, cancers (neoplasms), digestive diseases, self-harm and interpersonal violence, unintentional injuries and related conditions, and other mortality (deaths per 100,000 population). We used joinpoint regression analysis, and analyzed the proportional contribution of each category to all-cause mortality. RESULTS: There was a steeper decline in all-cause mortality in Estonia (average annual percent change, AAPC = -2.55%, 95% CI: [-2.91%, -2.20%], P < .001) as compared to Lithuania (AAPC = -1.26%, 95% CI: [-2.18%, -0.57%], P = .001). For ischemic heart disease mortality Estonia exhibited a relatively larger decline over the 19-year period (AAPC = -6.61%, 95% CI: [-7.02%, -6.21%], P < .001) as compared to Lithuania (AAPC = -2.23%, 95% CI: [-3.40%, -1.04%], P < .001). CONCLUSION: Estonia and Lithuania showed distinct mortality trends and distributions of major disease categories. Our findings highlight the role of ischemic heart disease mortality. Differences in public health care, management and prevention of ischemic heart disease, alcohol control policies may explain these differences. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14354-8. |
format | Online Article Text |
id | pubmed-9618211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96182112022-10-31 The temporal trend of cause-specific mortality: comparing Estonia and Lithuania, 2001 – 2019 Tran, Alexander Stoppel, Relika Jiang, Huan Kim, Kawon Victoria Lange, Shannon Petkevičienė, Janina Radišauskas, Ričardas Štelemėkas, Mindaugas Telksnys, Tadas Zafar, Anush Rehm, Jürgen BMC Public Health Research BACKGROUND: Despite being two Baltic countries with similar histories, Estonia and Lithuania have diverged in life expectancy trends in recent years. We investigated this divergence by comparing cause-specific mortality trends. METHODS: We obtained yearly mortality data for individuals 20 + years of age from 2001–2019 (19 years worth of data) through Statistics Lithuania, the Lithuanian Institute for Hygiene, and the National Institute for Health Development (Estonia). Using ICD-10 codes, we analyzed all-cause mortality rates and created eight major disease categories: ischemic heart disease, cerebrovascular disease, all other cardiovascular disease, cancers (neoplasms), digestive diseases, self-harm and interpersonal violence, unintentional injuries and related conditions, and other mortality (deaths per 100,000 population). We used joinpoint regression analysis, and analyzed the proportional contribution of each category to all-cause mortality. RESULTS: There was a steeper decline in all-cause mortality in Estonia (average annual percent change, AAPC = -2.55%, 95% CI: [-2.91%, -2.20%], P < .001) as compared to Lithuania (AAPC = -1.26%, 95% CI: [-2.18%, -0.57%], P = .001). For ischemic heart disease mortality Estonia exhibited a relatively larger decline over the 19-year period (AAPC = -6.61%, 95% CI: [-7.02%, -6.21%], P < .001) as compared to Lithuania (AAPC = -2.23%, 95% CI: [-3.40%, -1.04%], P < .001). CONCLUSION: Estonia and Lithuania showed distinct mortality trends and distributions of major disease categories. Our findings highlight the role of ischemic heart disease mortality. Differences in public health care, management and prevention of ischemic heart disease, alcohol control policies may explain these differences. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14354-8. BioMed Central 2022-10-30 /pmc/articles/PMC9618211/ /pubmed/36310159 http://dx.doi.org/10.1186/s12889-022-14354-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Tran, Alexander Stoppel, Relika Jiang, Huan Kim, Kawon Victoria Lange, Shannon Petkevičienė, Janina Radišauskas, Ričardas Štelemėkas, Mindaugas Telksnys, Tadas Zafar, Anush Rehm, Jürgen The temporal trend of cause-specific mortality: comparing Estonia and Lithuania, 2001 – 2019 |
title | The temporal trend of cause-specific mortality: comparing Estonia and Lithuania, 2001 – 2019 |
title_full | The temporal trend of cause-specific mortality: comparing Estonia and Lithuania, 2001 – 2019 |
title_fullStr | The temporal trend of cause-specific mortality: comparing Estonia and Lithuania, 2001 – 2019 |
title_full_unstemmed | The temporal trend of cause-specific mortality: comparing Estonia and Lithuania, 2001 – 2019 |
title_short | The temporal trend of cause-specific mortality: comparing Estonia and Lithuania, 2001 – 2019 |
title_sort | temporal trend of cause-specific mortality: comparing estonia and lithuania, 2001 – 2019 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618211/ https://www.ncbi.nlm.nih.gov/pubmed/36310159 http://dx.doi.org/10.1186/s12889-022-14354-8 |
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