scholarly journals Trends in Avoidable Mortality in Lithuania During 2001–2008 and Their Impact on Life Expectancy

Medicina ◽  
2011 ◽  
Vol 47 (9) ◽  
pp. 504 ◽  
Author(s):  
Vilius Grabauskas ◽  
Aldona Gaižauskienė ◽  
Skirmantė Sauliūnė ◽  
Rasa Mišeikytė
Keyword(s):  
Life Expectancy ◽  
Mortality Data ◽  
Avoidable Mortality ◽  
Average Life Expectancy ◽  
Mortality Trends ◽  
Annual Percent Change ◽  
Increasing Trend ◽  
Causes Of Deaths ◽  
Changes Over Time ◽  
The Impact

The process of the restructuring of health care system in Lithuania demonstrates the need to continue the monitoring of changes in avoidable mortality. Objective. To assess the level of avoidable mortality as well as its changes over time in Lithuania during 2001–2008 and to define the impact of avoidable mortality on life expectancy. Material and Methods. The mortality data were taken from the Lithuanian Department of Statistics. Twelve avoidable causes of deaths (treatable and preventable) were analyzed. Mortality trends were assessed by computing the average annual percent change (AAPC). The shortening of average life expectancy was computed from survival tables. Results. During the period 2001–2008, the avoidable mortality was increasing more significantly (AAPC 3.0%, P<0.05) than the overall mortality (AAPC 1.7%, P<0.05) in the population aged 5–64 years. The increasing trend was mainly determined by mortality from preventable diseases (AAPC 4.6%, P<0.05). The avoidable causes of death reduced the life expectancy by 1.77 years (preventable by 1.12 and treatable by 0.63 years). Diversity in trends in mortality of different avoidable causes was disclosed. A declining trend in mortality caused by chronic rheumatic heart disease and lung cancer was observed for males (AAPC –22.6% and –2.1%, respectively; P<0.05). However, the mortality caused by liver cirrhosis was increasing for both genders (AAPC 16.1% for males and 17.6% for females, P<0.01) and that caused by tuberculosis – only for females (AAPC 7.8%, P<0.05). Conclusions. An increasing trend in avoidable mortality was observed. Deaths caused by the diseases that could have been prevented had the greatest impact on the increasing mortality and decreasing life expectancy.

scholarly journals The impact of inequalities and health expenditure on mortality due to oral and oropharyngeal cancer in Brazil

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Amanda Ramos da Cunha ◽  
Alessandro Bigoni ◽  
José Leopoldo Ferreira Antunes ◽  
Fernando Neves Hugo
Keyword(s):  
Health Services ◽  
Oropharyngeal Cancer ◽  
Government Expenditure ◽  
Health Spending ◽  
Mortality Rates ◽  
Mortality Data ◽  
Mortality Trends ◽  
Annual Percent Change ◽  
The Government ◽  
The Impact

AbstractThis study aims to assess the magnitude and trend of mortality rates due to oral (OC) and oropharyngeal cancer (OPC) in the 133 Intermediate Geographic Regions (IGR) of Brazil between 1996 and 2018 and to analyze its association with sociodemographic variables and provision of health services. It also aims to compare the trend of mortality from neoplasms that have been reported as associated with HPV (OPC) with the trend of neoplasms that have been reported as not associated with HPV (OC). We obtained mortality data from the Mortality Information System in Brazil and analyzed the trends using the Prais-Winsten method. Then, we assessed the relationship between mortality trends and socioeconomic, health spending, and health services provision variables. The median of the annual percent change of the country’s mortality rates was 0.63% for OC and 0.83% for OPC. Trends in mortality in the IGRs correlated significantly with the Human Development Index and government expenditure on ambulatory health care and hospitalizations. Mortality from both types of cancer decreased in those IGR in which the government spent more on health and in the more socioeconomically developed ones. This study found no epidemiological indication that HPV plays the leading etiological factor in OPC in Brazil.

scholarly journals How have changes in death by cause and age group contributed to the recent stalling of life expectancy gains in Scotland? Comparative decomposition analysis of mortality data, 2000–2002 to 2015–2017

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e036529
Author(s):  
Julie Ramsay ◽  
Jon Minton ◽  
Colin Fischbacher ◽  
Lynda Fenton ◽  
Maria Kaye-Bardgett ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Cause Of Death ◽  
Age Groups ◽  
Decomposition Analysis ◽  
Future Research ◽  
Mortality Data ◽  
Age Group ◽  
Mortality Trends ◽  
Life Expectancy At Birth ◽  
The Impact

ObjectiveAnnual gains in life expectancy in Scotland were slower in recent years than in the previous two decades. This analysis investigates how deaths in different age groups and from different causes have contributed to annual average change in life expectancy across two time periods: 2000–2002 to 2012–2014 and 2012–2014 to 2015–2017.SettingScotland.MethodsLife expectancy at birth was calculated from death and population counts, disaggregated by 5 year age group and by underlying cause of death. Arriaga’s method of life expectancy decomposition was applied to produce estimates of the contribution of different age groups and underlying causes to changes in life expectancy at birth for the two periods.ResultsAnnualised gains in life expectancy between 2012–2014 and 2015–2017 were markedly smaller than in the earlier period. Almost all age groups saw worsening mortality trends, which deteriorated for most cause of death groups between 2012–2014 and 2015–2017. In particular, the previously observed substantial life expectancy gains due to reductions in mortality from circulatory causes, which most benefited those aged 55–84 years, more than halved. Mortality rates for those aged 30–54 years and 90+ years worsened, due in large part to increases in drug-related deaths, and dementia and Alzheimer’s disease, respectively.ConclusionFuture research should seek to explain the changes in mortality trends for all age groups and causes. More investigation is required to establish to what extent shortcomings in the social security system and public services may be contributing to the adverse trends and preventing mitigation of the impact of other contributing factors, such as influenza outbreaks.

scholarly journals How have changes in death by cause and age group contributed to the recent stalling of life expectancy gains in Scotland? Comparative decomposition analysis of mortality data, 2000-02 to 2015-17

2019 ◽  
Author(s):  
Julie Ramsay ◽  
Jonathan Minton ◽  
Colin Fischbacher ◽  
Lynda Fenton ◽  
Maria Kaye-Bardgett ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Cause Of Death ◽  
Age Groups ◽  
Decomposition Analysis ◽  
Mortality Data ◽  
Age Group ◽  
Contributing Factors ◽  
Mortality Trends ◽  
Life Expectancy At Birth ◽  
The Impact

BackgroundAnnual gains in life expectancy in Scotland were slower in recent years than in the previous two decades. This analysis investigates how deaths in different age groups and from different causes have contributed to annual average change in life expectancy across two time periods: 2000-02 to 2012-14 and 2012-14 to 2015-17. MethodsLife expectancy at birth was calculated from death and population counts, disaggregated by five-year age-group and by underlying cause of death. Arriaga’s method of life expectancy decomposition was applied to produce estimates of the contribution of different age-groups and underlying causes to changes in life expectancy at birth for the two periods.FindingsAverage annual life expectancy gains between 2012-14 to 2015-17 were markedly smaller than in the earlier period. Almost all age-groups saw worsening mortality trends, which deteriorated for most cause of death groups between 2012-14 and 2015-17. In particular, the previously observed substantial life expectancy gains due to reductions in mortality from circulatory causes, which most benefited those aged 55-84 years, more than halved. Mortality rates for those aged 30-54 years and 90+ years worsened, due in large part to increases in drug-related deaths, and dementia and Alzheimer’s disease respectively. InterpretationFuture research should seek to explain the changes in mortality trends for all age-groups and causes. More investigation is required to establish to what extent shortcomings in the social security system and public services may be contributing to the adverse trends and preventing mitigation of the impact of other contributing factors, such as influenza outbreaks.

scholarly journals The decomposition of life expectancy for age and cause of death in Tuscany, Italy

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
N Nante ◽  
L Kundisova ◽  
F Gori ◽  
A Martini ◽  
F Battisti ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Causes Of Death ◽  
National Level ◽  
Age Groups ◽  
Resistant Bacteria ◽  
Mortality Data ◽  
Life Expectancy At Birth ◽  
Icd 10 ◽  
Reduction Of Mortality ◽  
The Impact

Abstract Introduction Changing of life expectancy at birth (LE) over time reflects variations of mortality rates of a certain population. Italy is amongst the countries with the highest LE, Tuscany ranks fifth at the national level. The aim of the present work was to evaluate the impact of various causes of death in different age groups on the change in LE in the Tuscany region (Italy) during period 1987-2015. Material and methods Mortality data relative to residents that died during the period between 1987/1989 and 2013/2015 were provided by the Tuscan Regional Mortality Registry. The causes of death taken into consideration were cardiovascular (CVS), respiratory (RESP) and infective (INF) diseases and cancer (TUM). The decomposition of LE gain was realized with software Epidat, using the Pollard’s method. Results The overall LE gain during the period between two three-years periods was 6.7 years for males, with a major gain between 65-89, and 4.5 years for females, mainly improved between 75-89, &lt;1 year for both sexes. The major gain (2.6 years) was attributable to the reduction of mortality for CVS, followed by TUM (1.76 in males and 0.83 in females) and RESP (0.4 in males; 0.1 in females). The major loss of years of LE was attributable to INF (-0.15 in females; -0.07 in males) and lung cancer in females (-0.13), for which the opposite result was observed for males (gain of 0.62 years of LE). Conclusions During the study period (1987-2015) the gain in LE was major for males. To the reduction of mortality for CVS have contributed to the tempestuous treatment of acute CVS events and secondary CVS prevention. For TUM the result is attributable to the adherence of population to oncologic screening programmes. The excess of mortality for INF that lead to the loss of LE can be attributed to the passage from ICD-9 to ICD-10 in 2003 (higher sensibility of ICD-10) and to the diffusion of multi-drug resistant bacteria, which lead to elevated mortality in these years. Key messages The gain in LE during the period the 1987-2015 was higher in males. The major contribution to gain in LE was due to a reduction of mortality for CVS diseases.

Changes in mortality by cause of death in Polish voivodships

2015 ◽  
Vol 60 (11) ◽  
pp. 30-53
Author(s):  
Wiktoria Wróblewska
Keyword(s):  
Heart Disease ◽  
Life Expectancy ◽  
Ischemic Heart Disease ◽  
Cause Of Death ◽  
Regional Level ◽  
Age Group ◽  
Decomposition Technique ◽  
Avoidable Mortality ◽  
Mortality Causes ◽  
Causes Of Deaths

This study analyses the avoidable mortality in Poland at the regional level of 16 voivodships over the last two decades, 1991–2010. The author divided the mortality causes into three groups: treatable disease, preventable diseases and ischemic heart disease. We used a decomposition technique to calculate the contribution of changes in mortality from these conditions to changes in life expectancy between birth and age 75 for the two periods 1991–2000 and 2000–2010 by sex and age group. The analyses were based on temporary life expectancy between birth and age 75 (e0–75). Chiang’s method was used for constructing abridged life tables, and Arriaga’s method was used for decomposition. The results revealed differences in the temporary life expectancy level and pace of change between voivodships, causes of deaths and sex.

scholarly journals Health-Adjusted Life Expectancy among Canadian Adults with and without Hypertension

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Lidia Loukine ◽  
Chris Waters ◽  
Bernard C. K. Choi ◽  
Joellyn Ellison
Keyword(s):  
Life Expectancy ◽  
Disease Surveillance ◽  
Premature Death ◽  
Canadian Community Health Survey ◽  
Significant Loss ◽  
Mortality Data ◽  
Disease Surveillance System ◽  
Community Health Survey ◽  
Table Analysis ◽  
The Impact

Hypertension can lead to cardiovascular diseases and other chronic conditions. While the impact of hypertension on premature death and life expectancy has been published, the impact on health-adjusted life expectancy has not, and constitutes the research objective of this study. Health-adjusted life expectancy (HALE) is the number of expected years of life equivalent to years lived in full health. Data were obtained from the Canadian Chronic Disease Surveillance System (mortality data 2004–2006) and the Canadian Community Health Survey (Health Utilities Index data 2000–2005) for people with and without hypertension. Life table analysis was applied to calculate life expectancy and health-adjusted life expectancy and their confidence intervals. Our results show that for Canadians 20 years of age, without hypertension, life expectancy is 65.4 years and 61.0 years, for females and males, respectively. HALE is 55.0 years and 52.8 years for the two sexes at age 20; and 24.7 years and 22.9 years at age 55. For Canadians with hypertension, HALE is only 48.9 years and 47.1 years for the two sexes at age 20; and 22.7 years and 20.2 years at age 55. Hypertension is associated with a significant loss in health-adjusted life expectancy compared to life expectancy.

scholarly journals THE IMPACT OF ECONOMIC, DEMOGRAPHIC, AND INFRASTRUCTURAL FACTORS ON INCOME INEQUALITY AND POVERTY IN RUSSIA

2020 ◽  
Vol 1 ◽  
pp. 70-75
Author(s):  
Rogneda Groznykh ◽  
Elena Ignatieva ◽  
Oleg Mariev ◽  
Alla Serkova
Keyword(s):  
Income Inequality ◽  
Life Expectancy ◽  
University Graduates ◽  
Russian Regions ◽  
Average Life Expectancy ◽  
Explanatory Variables ◽  
Prime Objective ◽  
Relative Change ◽  
The Impact ◽  
The Relationship

The prime objective of the research is to examine the factors influencing both the alteration in the income distribution and the relative change in the incidence of poverty in the regions of Russia. The list of the identified factors/determinants includes economic, demographic, and infrastructural factors. An econometric model, indicating the relationship between the explanatory variables with both the income inequality index and the relative poverty proportions in Russian regions has been provided in this article. The determinants that cause variations in the income inequality and poverty of a country such as social mobility, average life expectancy of urban women, life expectancy of rural men, the number of university graduates, etc. have also been specified in this study. The analysis was executed based on a dataset of 72 Russian regions for the period between 2012-2017.

scholarly journals Recent adverse mortality trends in Scotland: comparison with other high-income countries

2019 ◽  
Author(s):  
Lynda Fenton ◽  
Jon Minton ◽  
Julie Ramsay ◽  
Maria Kaye-Bardgett ◽  
Colin Fischbacher ◽  
...  
Keyword(s):  
Northern Ireland ◽  
Life Expectancy ◽  
Mortality Rates ◽  
Recent Change ◽  
High Income ◽  
Mortality Data ◽  
List Type ◽  
Segmented Regression ◽  
Mortality Trends ◽  
The Usa

AbstractObjectiveGains in life expectancy have faltered in several high-income countries in recent years. We aim to compare life expectancy trends in Scotland to those seen internationally, and to assess the timing of any recent changes in mortality trends for Scotland.SettingAustria, Croatia, Czech Republic, Denmark, England & Wales, Estonia, France, Germany, Hungary, Iceland, Israel, Japan, Korea, Latvia, Lithuania, Netherlands, Northern Ireland, Poland, Scotland, Slovakia, Spain, Sweden, Switzerland, USA.MethodsWe used life expectancy data from the Human Mortality Database (HMD) to calculate the mean annual life expectancy change for 24 high-income countries over five-year periods from 1992 to 2016, and the change for Scotland for five-year periods from 1857 to 2016. One- and two-break segmented regression models were applied to mortality data from National Records of Scotland (NRS) to identify turning points in age-standardised mortality trends between 1990 and 2018.ResultsIn 2012-2016 life expectancies in Scotland increased by 2.5 weeks/year for females and 4.5 weeks/year for males, the smallest gains of any period since the early 1970s. The improvements in life expectancy in 2012-2016 were smallest among females (<2.0 weeks/year) in Northern Ireland, Iceland, England & Wales and the USA and among males (<5.0 weeks/year) in Iceland, USA, England & Wales and Scotland. Japan, Korea, and countries of Eastern Europe have seen substantial gains in the same period. The best estimate of when mortality rates changed to a slower rate of improvement in Scotland was the year to 2012 Q4 for males and the year to 2014 Q2 for females.ConclusionLife expectancy improvement has stalled across many, but not all, high income countries. The recent change in the mortality trend in Scotland occurred within the period 2012-2014. Further research is required to understand these trends, but governments must also take timely action on plausible contributors.Strengths and limitations of this studyThe use of five-year time periods for comparison of life expectancy changes reduces the influence of year-to-year variation on observations.Examining long-term trends addresses concerns that recent life expectancy stalling may be over-emphasised due to notably large gains in the immediately preceding period.The international comparison was limited to the 24 high-income countries for which data were readily available for the relevant period.Analysis of trend data will always be sensitive to the period selected, however segmented regression of the full period of mortality rates available offers an objective method of identifying the timing of a change in trend.

scholarly journals Multi-State Analysis of the Impact of Childhood Starvation on the Healthy Life Expectancy of the Elderly in China

2021 ◽  
Vol 9 ◽  
Author(s):  
Huiling Dong ◽  
Chunjing Du ◽  
Bingyi Wu ◽  
Qunhong Wu
Keyword(s):  
Life Expectancy ◽  
Elderly People ◽  
The Elderly ◽  
Income Level ◽  
Healthy Life Expectancy ◽  
Average Life ◽  
Average Life Expectancy ◽  
Healthy Life ◽  
Significant Difference ◽  
The Impact

Background: Child malnutrition is not only common in developing countries but also an important issue faced by developed countries. This study aimed to explore the influence and degree of childhood starvation on the health of the elderly, which provides a reference for formulating health-related policies under the concept of full lifecycle health.Methods: Based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2008, 2011, and 2014, this study took a total of 13,185 elderly people aged 65–99 years as the target population. By IMaCH software, with gender and income level as the control variables, the average life expectancy and healthy life expectancy of the elderly were measured. The x2test was used to explore the differences in the socioeconomic status of elderly people with or without starvation in childhood. Statistical differences between average life expectancy and healthy life expectancy were analyzed by rank tests.Results: (1) The results showed that there was a statistically significant difference in age, gender, residency, education level, and income level between the groups with or without starvation (P &lt; 0.05). (2) Transition probabilities in health–disability, health–death, and disability–death all showed an upward trend with age (P &lt; 0.05), where the elderly who experienced starvation in childhood were higher than those without such an experience (P &lt; 0.05). However, the probability of disability–health recovery showed a downward trend with age (P &lt; 0.05), in which the elderly who experienced starvation in childhood were lower than those without starvation (P &lt; 0.05). (3) For the elderly who experienced starvation in childhood, the health indicators of the average life expectancy, healthy life expectancy, and healthy life expectancy proportion accounted for the remaining life were lower than those of the elderly without childhood starvation (P &lt; 0.05).Conclusions: The average life expectancy and healthy life expectancy of the elderly with childhood starvation are lower than those without childhood starvation. It shows that the negative impact of childhood starvation on health through the life course till old age has a persistent negative cumulative effect on the quantity and quality of life. Therefore, it is important to pay attention to the nutritional status of children in poor families from the perspective of social policymaking.

scholarly journals Leukemia mortality in children from Latin America: Trends and predictions to 2030

2020 ◽  
Author(s):  
J. Smith Torres-Roman ◽  
Bryan Valcarcel ◽  
Pedro Guerra-Canchari ◽  
Camila Alves Dos Santos ◽  
Isabelle Ribeiro Barbosa ◽  
...  
Keyword(s):  
Latin American ◽  
Mortality Rates ◽  
World Health ◽  
Mortality Data ◽  
Mortality Trends ◽  
Annual Percent Change ◽  
Universal Healthcare ◽  
The World ◽  
Health Organization ◽  
Universal Healthcare Coverage

Abstract Background: Reports suggest that Latin American and Caribbean (LAC) countries have not reduced in leukemia mortality compared to high-income countries. However, updated trends remain largely unknown in the region. Given that leukemia is the leading cause of cancer-related death in LAC children, we evaluated mortality trends in children (0-14y) from 15 LAC countries for the period 2000-2017 and predicted mortality to 2030.Methods: We retrieved cancer mortality data using the World Health Organization Mortality Database. Mortality rates (standardized to the world standard SEGI population) were analyzed for 15 LAC countries. We evaluated the average mortality rates for the last 5 years (2013-2017). Joinpoint regression analysis was used to evaluate leukemia mortality trends and provide an estimated annual percent change (EAPC). Nordpred was utilized for the calculation of predictions until 2030.Results: Between 2013 and 2017, the highest mortality rates were reported in Venezuela, Ecuador, Nicaragua, Mexico, and Peru. Upward mortality trends were reported in Nicaragua (EAPC by 2.9% in boys, and EAPC by 2.0% in girls), and Peru (EAPC by 1.4% in both sexes). Puerto Rico experienced large declines in mortality among both boys (EAPC by −9.7%), and girls (EAPC by −6.0%). Leukemia mortality will increase in Argentina, Ecuador, Guatemala, Panama, Peru, and Uruguay by 2030.Conclusion: Leukemia mortality is predicted to increase in some LAC countries by 2030. Interventions to prevent this outcome should be tailor to reduce the socioeconomic inequalities and ensure universal healthcare coverage.

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