- Country/Area (COUNTRY/AREA)
- Supranational group of countries (COUNTRY_GRP)
- Sex (SEX)
- Year of measure (YEAR)
- Andorra
- Monaco
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Reduction of life expectancy through death before 65 years, males (Line chart)
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Reduction of life expectancy through death before 65 years, males (Bar chart)
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Reduction of life expectancy through death before 65 years, males (Map)
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x px
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European Health for All database (HFA-DB)
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Health information system and data governance
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Artificial Intelligence for Health in the WHO European Region
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Assistive Technology
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European Programme of Work
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Digital Health
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European mortality database (MDB)
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Rehabilitation
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Health-enhancing physical activity
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European database on human and technical resources for health (HlthRes-DB)
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Environment and Health Information System (ENHIS)
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Financial protection in the European Region
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Child and adolescent health
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Seasonal influenza vaccination policies and coverage
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Health Behaviour in School-aged Children (HBSC)
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Maternal nutrition, physical activity and weight gain during pregnancy
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Antimicrobial resistance
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Global nutrition policy survey
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Status of child and adolescent health policies in Europe
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Health 2020 indicators
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Global eHealth survey 2015
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Joint Monitoring Framework (JMF)
Indicator code: E060301.M This indicator shares the definition with the parent indicator \"Reduction of life expectancy through death before 65 years\".
Hypothetical increase in life expectancy if to set all mortality in age group 0-64 to zero. Calculated: le at 65+ 65 - le at birth.
Understanding the Reduction of Life Expectancy Through Death Before 65 Years in Males
The indicator of life expectancy reduction through premature death among males under 65 years old provides critical insights into public health issues affecting a significant portion of the population. This measure not only reflects the general health status of males in this age group but also highlights the impact of various socio-economic factors and healthcare systems on male longevity. By examining the causes and trends associated with early male mortality, health policymakers and researchers can better design interventions aimed at improving life expectancy and addressing preventable causes of death.
The Importance of Addressing Early Male Mortality
Addressing the reduction of life expectancy in males due to premature death before the age of 65 is crucial for enhancing public health outcomes and improving the quality of life. This metric not only affects the individuals and families directly impacted but also has broader implications for workforce productivity and economic stability. Effective public health strategies and interventions can lead to significant improvements in this area, ultimately contributing to longer, healthier lives and reducing the societal and economic burden of early male mortality.
Strengths and Limitations of Studying Early Male Mortality
While the study of early male mortality is invaluable for understanding and improving public health, it comes with its own set of strengths and limitations.
Strengths
One of the primary strengths of this approach is its ability to highlight specific health disparities and target interventions effectively. By focusing on premature mortality, researchers can identify key risk factors and health conditions that disproportionately affect males under 65, such as cardiovascular diseases, accidents, or mental health issues. This specificity aids in crafting targeted health policies and preventive measures that can lead to substantial improvements in male health outcomes.
Limitations
However, there are several limitations to consider. The accuracy of this measure heavily depends on the quality of mortality data, which can vary significantly between regions and over time. Inconsistencies in data collection methods, underreporting of deaths, and misclassification of causes of death can all impact the reliability of the results. Furthermore, this indicator does not account for the quality of life or morbidity; it strictly measures mortality, which means it might overlook important aspects of health that precede death, such as chronic illness or disability.
Additionally, cultural, social, and economic factors can complicate the interpretation of data. These factors can influence health behaviors and access to healthcare, thereby affecting mortality rates and potentially skewing the understanding of the underlying causes of early death.
In conclusion, while the study of the reduction of life expectancy through death before 65 years in males is a powerful tool for public health, it must be approached with an understanding of its complexities and limitations. Continuous efforts to improve data quality and interpretation will enhance the effectiveness of health interventions and policies aimed at reducing premature mortality among men.
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% of population aged 0–14 years, males
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% of population aged 0–14 years, females
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% of population aged 65+ years
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% of population aged 65+ years, males
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% of population aged 65+ years, females
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Live births per 1000 population, males
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Live births per 1000 population, females
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Number of live births
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Number of live births, males
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Number of live births, females