Inequalities in Life Expectancy by Education and Its Changes in Lithuania during 2001–2014
<i>Background and Objectives</i>: Reduction of health inequalities is a highly important task in public health policies worldwide. In Lithuania, inequalities in life expectancy (LE) by education level are among the greatest, compared to other European countries. However, studies on inequ...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Medicina |
Subjects: | |
Online Access: | https://www.mdpi.com/1010-660X/57/3/245 |
id |
doaj-834d5de0f12e4eceb0fa6091566d9448 |
---|---|
record_format |
Article |
spelling |
doaj-834d5de0f12e4eceb0fa6091566d94482021-03-06T00:07:33ZengMDPI AGMedicina1010-660X2021-03-015724524510.3390/medicina57030245Inequalities in Life Expectancy by Education and Its Changes in Lithuania during 2001–2014Olga Mesceriakova-Veliuliene0Ramune Kalediene1Skirmante Sauliune2Gvidas Urbonas3Department of Health Management, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės St. 18, LT-47181 Kaunas, LithuaniaDepartment of Health Management, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės St. 18, LT-47181 Kaunas, LithuaniaDepartment of Health Management, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės St. 18, LT-47181 Kaunas, LithuaniaDepartment of Bioethics, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės St. 18, LT-47181 Kaunas, Lithuania<i>Background and Objectives</i>: Reduction of health inequalities is a highly important task in public health policies worldwide. In Lithuania, inequalities in life expectancy (LE) by education level are among the greatest, compared to other European countries. However, studies on inequalities in LE by level of education over a long-term period are quite scarce in Lithuania. The aim of the study was to analyze inequalities in life expectancy by education and its changes in Lithuania during 2001–2014. <i>Materials and Methods:</i> Information on deaths (in population aged ≥30 years) was obtained from Statistics Lithuania. Life expectancy at age 30 (LE30) and 95% confidence intervals (CIs) were calculated using life tables. Inequalities in LE30 were assessed using rate differences. Joinpoint regression analysis was used to assess the trends and inequalities of LE30 during 2001–2014. <i>Results:</i> During 2001–2014, LE30 in males and females with post-secondary education was higher than in those with up-to-secondary education (<i>p</i> < 0.05). Among males and females, LE30 increased in both education groups, except for males with up-to-secondary education. Among individuals with post-secondary education, LE30 started increasing earlier and more quickly than in those with up-to-secondary education. Over the analyzed period, greater differences in LE30 between post-secondary and up-to-secondary education groups were found among males. Differences in LE30 due to different educational background were statistically significantly, increasing across the sexes with a more rapid increase for females than for males. During 2001 and 2014, the highest number of years of LE30 lost in both education groups was due to cardiovascular diseases. <i>Conclusions:</i> Throughout the period of 2001–2014, life expectancy in Lithuania in the post-secondary education group was statistically significantly longer and was increasing more rapidly compared to the up-to secondary education group. Inequalities in life expectancy by level of education significantly increased among both males and females.https://www.mdpi.com/1010-660X/57/3/245life expectancyeducationinequalitiesLithuania |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Olga Mesceriakova-Veliuliene Ramune Kalediene Skirmante Sauliune Gvidas Urbonas |
spellingShingle |
Olga Mesceriakova-Veliuliene Ramune Kalediene Skirmante Sauliune Gvidas Urbonas Inequalities in Life Expectancy by Education and Its Changes in Lithuania during 2001–2014 Medicina life expectancy education inequalities Lithuania |
author_facet |
Olga Mesceriakova-Veliuliene Ramune Kalediene Skirmante Sauliune Gvidas Urbonas |
author_sort |
Olga Mesceriakova-Veliuliene |
title |
Inequalities in Life Expectancy by Education and Its Changes in Lithuania during 2001–2014 |
title_short |
Inequalities in Life Expectancy by Education and Its Changes in Lithuania during 2001–2014 |
title_full |
Inequalities in Life Expectancy by Education and Its Changes in Lithuania during 2001–2014 |
title_fullStr |
Inequalities in Life Expectancy by Education and Its Changes in Lithuania during 2001–2014 |
title_full_unstemmed |
Inequalities in Life Expectancy by Education and Its Changes in Lithuania during 2001–2014 |
title_sort |
inequalities in life expectancy by education and its changes in lithuania during 2001–2014 |
publisher |
MDPI AG |
series |
Medicina |
issn |
1010-660X |
publishDate |
2021-03-01 |
description |
<i>Background and Objectives</i>: Reduction of health inequalities is a highly important task in public health policies worldwide. In Lithuania, inequalities in life expectancy (LE) by education level are among the greatest, compared to other European countries. However, studies on inequalities in LE by level of education over a long-term period are quite scarce in Lithuania. The aim of the study was to analyze inequalities in life expectancy by education and its changes in Lithuania during 2001–2014. <i>Materials and Methods:</i> Information on deaths (in population aged ≥30 years) was obtained from Statistics Lithuania. Life expectancy at age 30 (LE30) and 95% confidence intervals (CIs) were calculated using life tables. Inequalities in LE30 were assessed using rate differences. Joinpoint regression analysis was used to assess the trends and inequalities of LE30 during 2001–2014. <i>Results:</i> During 2001–2014, LE30 in males and females with post-secondary education was higher than in those with up-to-secondary education (<i>p</i> < 0.05). Among males and females, LE30 increased in both education groups, except for males with up-to-secondary education. Among individuals with post-secondary education, LE30 started increasing earlier and more quickly than in those with up-to-secondary education. Over the analyzed period, greater differences in LE30 between post-secondary and up-to-secondary education groups were found among males. Differences in LE30 due to different educational background were statistically significantly, increasing across the sexes with a more rapid increase for females than for males. During 2001 and 2014, the highest number of years of LE30 lost in both education groups was due to cardiovascular diseases. <i>Conclusions:</i> Throughout the period of 2001–2014, life expectancy in Lithuania in the post-secondary education group was statistically significantly longer and was increasing more rapidly compared to the up-to secondary education group. Inequalities in life expectancy by level of education significantly increased among both males and females. |
topic |
life expectancy education inequalities Lithuania |
url |
https://www.mdpi.com/1010-660X/57/3/245 |
work_keys_str_mv |
AT olgamesceriakovaveliuliene inequalitiesinlifeexpectancybyeducationanditschangesinlithuaniaduring20012014 AT ramunekalediene inequalitiesinlifeexpectancybyeducationanditschangesinlithuaniaduring20012014 AT skirmantesauliune inequalitiesinlifeexpectancybyeducationanditschangesinlithuaniaduring20012014 AT gvidasurbonas inequalitiesinlifeexpectancybyeducationanditschangesinlithuaniaduring20012014 |
_version_ |
1724229970155274240 |