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Infant mortality in the Flemish Region of Belgium 1999-2008: a time-to-event analysis
BACKGROUND: When calculating life expectancy, it is usually assumed that deaths are uniformly distributed within each of the age intervals. As most of the infant deaths are neonatal deaths, this calls for a better assessment for that age group. METHODS: The Flemish unified death and birth certificat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436645/ https://www.ncbi.nlm.nih.gov/pubmed/22958649 http://dx.doi.org/10.1186/0778-7367-70-6 |
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author | Pelfrene, Edwin Cloots, Heidi Hendrickx, Erik |
author_facet | Pelfrene, Edwin Cloots, Heidi Hendrickx, Erik |
author_sort | Pelfrene, Edwin |
collection | PubMed |
description | BACKGROUND: When calculating life expectancy, it is usually assumed that deaths are uniformly distributed within each of the age intervals. As most of the infant deaths are neonatal deaths, this calls for a better assessment for that age group. METHODS: The Flemish unified death and birth certificates database for all calendar years between 1999 and 2008 was used. A Kaplan-Meier survival analysis on a yearly basis was performed to assess the mean time-to-event and to compare survival curves between both genders. RESULTS: Over the last years, a slight though not steady decrease of the infant mortality rate is observed. In 2008, the probability among live births of dying before their first anniversary is 4.6‰ in boys and 3.5‰ in girls. The large majority (about 85%) of these have died in their year of birth. The mean survival time of deaths in their year of birth was found to centre around 1 month (about 30 days), which results in a 'mean proportion of the calendar year lived' (k1) close to 0.09. Among those who died in the year after their year of birth yet before their first anniversary, no such concentration in time of the deaths is observed. Differences between the gender groups are small and generally not statistically significant. CONCLUSION: Statistics Belgium, the federal statistics office, imputes a value for k1 equal to 0.1 for infant deaths in their year of birth when calculating life expectancy. Our data fully support this value. We think such refinement is generally feasible in calculating life expectancy. |
format | Online Article Text |
id | pubmed-3436645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34366452012-09-08 Infant mortality in the Flemish Region of Belgium 1999-2008: a time-to-event analysis Pelfrene, Edwin Cloots, Heidi Hendrickx, Erik Arch Public Health Research BACKGROUND: When calculating life expectancy, it is usually assumed that deaths are uniformly distributed within each of the age intervals. As most of the infant deaths are neonatal deaths, this calls for a better assessment for that age group. METHODS: The Flemish unified death and birth certificates database for all calendar years between 1999 and 2008 was used. A Kaplan-Meier survival analysis on a yearly basis was performed to assess the mean time-to-event and to compare survival curves between both genders. RESULTS: Over the last years, a slight though not steady decrease of the infant mortality rate is observed. In 2008, the probability among live births of dying before their first anniversary is 4.6‰ in boys and 3.5‰ in girls. The large majority (about 85%) of these have died in their year of birth. The mean survival time of deaths in their year of birth was found to centre around 1 month (about 30 days), which results in a 'mean proportion of the calendar year lived' (k1) close to 0.09. Among those who died in the year after their year of birth yet before their first anniversary, no such concentration in time of the deaths is observed. Differences between the gender groups are small and generally not statistically significant. CONCLUSION: Statistics Belgium, the federal statistics office, imputes a value for k1 equal to 0.1 for infant deaths in their year of birth when calculating life expectancy. Our data fully support this value. We think such refinement is generally feasible in calculating life expectancy. BioMed Central 2012-03-30 /pmc/articles/PMC3436645/ /pubmed/22958649 http://dx.doi.org/10.1186/0778-7367-70-6 Text en Copyright ©2012 Pelfrene et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Pelfrene, Edwin Cloots, Heidi Hendrickx, Erik Infant mortality in the Flemish Region of Belgium 1999-2008: a time-to-event analysis |
title | Infant mortality in the Flemish Region of Belgium 1999-2008: a time-to-event analysis |
title_full | Infant mortality in the Flemish Region of Belgium 1999-2008: a time-to-event analysis |
title_fullStr | Infant mortality in the Flemish Region of Belgium 1999-2008: a time-to-event analysis |
title_full_unstemmed | Infant mortality in the Flemish Region of Belgium 1999-2008: a time-to-event analysis |
title_short | Infant mortality in the Flemish Region of Belgium 1999-2008: a time-to-event analysis |
title_sort | infant mortality in the flemish region of belgium 1999-2008: a time-to-event analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436645/ https://www.ncbi.nlm.nih.gov/pubmed/22958649 http://dx.doi.org/10.1186/0778-7367-70-6 |
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