Changes in inequalities of mortality by education level in Lithuania between 2001 and 2014

Meščeriakova-Veliulienė, Olga; Kalèdiené, Ramuné; Sauliūnė, Skirmantė

doi:10.1016/j.puhe.2020.02.010

Cited by 11 publications

(12 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the analysis of changes in mortality during the whole analyzed period (1990–2018) revealed positive changes in Lithuanian urban and rural areas, as in other EU countries: mortality was decreasing, except for mortality from gastrointestinal diseases (mortality from these diseases was increasing) [ 1 ]. According to the results of other studies, mortality from this cause of death was also increasing in different education level groups [ 14 ].…”

Section: Discussionmentioning

confidence: 98%

“…The large and growing inequalities in the mortality of the population show [ 14 , 15 , 16 , 17 ] that Lithuania is failing to achieve the goals set out by the World Health Organization—i.e., to reduce social and health inequalities [ 18 ]. Therefore, continuous monitoring of the population’s mortality and inequalities is essential to reduce them.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Changes in Mortality Inequalities in Urban and Rural Populations during 1990–2018: Lithuanian Experience

Meščeriakova-Veliulienė

Kalèdiené

2021

Medicina

View full text Add to dashboard Cite

Background and Objectives: Reduction in health inequalities is a highly important task in public health policies worldwide. In Lithuania, inequalities in mortality by place of residence are among the greatest, compared to other European Union (EU) countries. However, studies on inequalities in mortality by place of residence over a long-term period have not been investigated in Lithuania. The aim of this study was to present changes in mortality inequalities in urban and rural populations during 1990–2018. Materials and Methods: Mortality rates from all causes, cardiovascular diseases, cancer, external causes, and gastrointestinal diseases in urban and rural population by sex were calculated per 100,000 populations and were standardized by age. Inequalities in mortality were assessed using rate differences and rate ratio. For the assessment of inequality trends during 1990–2018, the joinpoint regression analysis was applied. Results: Mortality between urban and rural populations varied. In rural areas, mortality lower than that in urban areas was observed only in 1990 among women, in case of mortality from cancer and gastrointestinal diseases (compared with in 2018) (p < 0.05). In 2018, mortality from all causes, cardiovascular diseases, and external causes in urban and rural areas was lower than in 1990 in both sexes. However, mortality from gastrointestinal diseases was higher (p < 0.05). In 2018, mortality from cancer among both sexes was lower only in urban areas (p < 0.05). Mortality inequalities between rural and urban areas decreased statistically significantly only among men from external causes and from all causes (respectively, on average, by 0.52% per year and, on average, by 0.21% per year). Meanwhile, mortality from cardiovascular and gastrointestinal diseases increased in both sexes, and mortality from cancer and all causes of death increased among women. The increase in the inequalities of mortality from gastrointestinal diseases was the most rapid: among men—on average, by 0.69% per year, and among women—on average, by 1.43% per year, p < 0.0001. Conclusions: During 1990–2018, the inequalities in mortality by place of residence in Lithuania statistically significantly decreased only among men, in terms of mortality from external causes and from all causes. Therefore, reduction in inequalities in mortality must be the main the health policy challenge in Lithuania.

show abstract

Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Changes in Mortality Inequalities in Urban and Rural Populations during 1990–2018: Lithuanian Experience

Meščeriakova-Veliulienė

Kalèdiené

2021

Medicina

View full text Add to dashboard Cite

show abstract

“…[6] Comparing data from 2001 and 2014, both absolute and relative mortality gaps between low- and high educated persons were found to have widened in Lithuania. [7] In this period, the socioeconomic difference in all-cause mortality rates increased among men and women by about one third. A more refined set of analyses using data of life expectancy at age 30 between 2001 and 2014 identified breaking points in the trajectories of health inequalities in Lithuania.…”

Section: Introductionmentioning

confidence: 99%

Interrupted time series analyses to assess the impact of alcohol control policy on socioeconomic inequalities in mortality in Lithuania: a study protocol

Manthey

Jasilionis

Jiang

et al. 2021

Preprint

View full text Add to dashboard Cite

Introduction Alcohol use is a major risk factor for mortality. Previous studies suggest that the alcohol-attributable mortality burden is higher in lower socioeconomic strata. This project will test the hypothesis, that the 2017 increase of alcohol excise taxes for beer and wine, which was linked to lower all-cause mortality rates in previous analyses, will reduce socioeconomic mortality inequalities. Methods and analysis Data on all causes of deaths will be obtained from Statistics Lithuania. Record linkage will be implemented using personal identifiers combining data from 1) the 2011 whole-population census, 2) death records between March 1, 2011 (census date) and December 31, 2019, and 3) emigration records, for individuals aged 30 to 70 years. The analyses will be performed separately for all-cause and for alcohol-attributable deaths. Monthly age-standardized mortality rates will be calculated by sex, education, and three measures of socioeconomic status. Inequalities in mortality will be assessed using absolute and relative indicators between low and high SES groups. We will perform interrupted time series analyses, and test the impact of the 2017 rise in alcohol excise taxation using generalized additive mixed models. In these models, we will control for secular trends for economic development. Ethics and dissemination This work is part of project grant 1R01AA028224-01 by the National Institute on Alcohol Abuse and Alcoholism. It has been granted research ethics approval 050/2020 by CAMH Research Ethics Board on April 17, 2020, renewed on March 30, 2021.

show abstract

“… 13 Comparing data from 2001 and 2014, both absolute and relative mortality gaps between low-educated and high-educated persons were found to have widened in Lithuania. 14 In this period, the socioeconomic difference in all-cause mortality rates increased among men and women by about one-third. A more refined set of analyses using data of life expectancy at age 30 between 2001 and 2014 identified breaking points in the trajectories of health inequalities in Lithuania.…”

Section: Introductionmentioning

confidence: 99%

Interrupted time series analyses to assess the impact of alcohol control policy on socioeconomic inequalities in mortality in Lithuania: a study protocol

et al. 2021

View full text Add to dashboard Cite

IntroductionAlcohol use is a major risk factor for mortality. Previous studies suggest that the alcohol-attributable mortality burden is higher in lower socioeconomic strata. This project will test the hypothesis that the 2017 increase of alcohol excise taxes linked to lower all-cause mortality rates in previous analyses will reduce socioeconomic mortality inequalities.Methods and analysisData on all causes of deaths will be obtained from Statistics Lithuania. Record linkage will be implemented using personal identifiers combining data from (1) the 2011 whole-population census, (2) death records between 1 March 2011 (census date) and 31 December 2019, and (3) emigration records, for individuals aged 40–70 years. The analyses will be performed separately for all-cause and for alcohol-attributable deaths. Monthly age-standardised mortality rates will be calculated by sex, education and three measures of socioeconomic status (SES). Inequalities in mortality will be assessed using absolute and relative indicators between low and high SES groups. We will perform interrupted time series analyses, and test the impact of the 2017 rise in alcohol excise taxation using generalised additive mixed models. In these models, we will control for secular trends for economic development.Ethics and disseminationThis work is part of project grant 1R01AA028224-01 by the National Institute on Alcohol Abuse and Alcoholism. It has been granted research ethics approval 050/2020 by Centre for Addiction and Mental Health Research Ethics Board on 17 April 2020, renewed on 30 March 2021. The time series of mortality inequalities as well as the statistical code will be made publicly available, allowing other researchers to adapt the proposed method to other jurisdictions.

show abstract

Changes in inequalities of mortality by education level in Lithuania between 2001 and 2014

Cited by 11 publications

References 19 publications

Changes in Mortality Inequalities in Urban and Rural Populations during 1990–2018: Lithuanian Experience

Changes in Mortality Inequalities in Urban and Rural Populations during 1990–2018: Lithuanian Experience

Interrupted time series analyses to assess the impact of alcohol control policy on socioeconomic inequalities in mortality in Lithuania: a study protocol

Interrupted time series analyses to assess the impact of alcohol control policy on socioeconomic inequalities in mortality in Lithuania: a study protocol

Contact Info

Product

Resources

About