100+ datasets found
  1. Main causes of death among the elderly in India 2017-2019

    • statista.com
    Updated Jul 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Main causes of death among the elderly in India 2017-2019 [Dataset]. https://www.statista.com/statistics/643488/aging-population-leading-causes-of-death-india/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    Cardiovascular diseases were one leading causes of death among the aging population across India between 2017 and 2019. Cardiovascular diseases accounted to ** percent of the total share. Diabetes mellitus accounted for over ***** percent of the share of leading causes of death among people older than 70 years old during the same time period.

  2. Main causes of death among the elderly South Korea 2022

    • statista.com
    • ai-chatbox.pro
    Updated Feb 14, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Main causes of death among the elderly South Korea 2022 [Dataset]. https://www.statista.com/statistics/1085894/south-korea-main-causes-of-death-among-the-elderly/
    Explore at:
    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    South Korea
    Description

    In 2022, malignant neoplasm was the cause of death for 783.9 people per 100,000 population among elderly people in South Korea aged 65 years and older. This made it the leading cause of death for seniors that year, far ahead of other common causes such as cardiovascular disease and COVID-19.

  3. f

    Data from: Mortality differentials by cause in extreme age groups of elderly...

    • scielo.figshare.com
    jpeg
    Updated Jun 11, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Tamires Carneiro de Oliveira; Wilton Rodrigues Medeiros; Kenio Costa de Lima (2023). Mortality differentials by cause in extreme age groups of elderly [Dataset]. http://doi.org/10.6084/m9.figshare.14289781.v1
    Explore at:
    jpegAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    SciELO journals
    Authors
    Tamires Carneiro de Oliveira; Wilton Rodrigues Medeiros; Kenio Costa de Lima
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    OBJECTIVE: To identify and compare the scale of priorities in the health of young-old 60 to 69 years old and oldest-old older than 80 years individuals based on the cause of mortality in Rio Grande do Norte state, Brazil, from 2001 to 2011. METHODS: For this ecological study, data were obtained from the Brazilian Mortality Information System SIM and measured by Proportional Mortality PM. RESULTS: Cardiovascular diseases are the leading cause of death for both groups, with a PM of over 30%. The second most common cause among young-old individuals is neoplasm 22.9%, which only ranks as the fourth most common cause among the oldest-old 10.1%. Ill-defined causes are the second most prevalent cause among the oldest-old 17.3% and the fourth most prevalent cause among young-old individuals 9.18%. Significant differences were recorded for respiratory diseases, the digestive tract and external causes. In the case of the former, young-old individuals 12.8% exhibited PM that was twice that of the oldest-old 6.2%.They also showed values two and three times higher for the latter two causes, respectively. CONCLUSION: This study indicates the heterogeneity of the elderly, producing distinct demands for public health. Cardiovascular diseases are the leading cause of death in both groups. Neoplasms, digestive diseases and external causes showed the highest amount of PM among young-old individuals, whereas ill-defined and respiratory causes were more significant among oldest-old individuals.

  4. Death rates for leading causes of death among older people U.S. 2014

    • statista.com
    Updated Aug 2, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2016). Death rates for leading causes of death among older people U.S. 2014 [Dataset]. https://www.statista.com/statistics/726571/death-rates-among-seniors-united-states/
    Explore at:
    Dataset updated
    Aug 2, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2014
    Area covered
    United States
    Description

    This statistic shows the number of deaths from the leading causes of death among U.S. adults aged 65 years and older in 2014, per 100,000 population. In 2014, the leading cause of death among those aged 65 years and older was heart disease, followed by cancer and chronic lower respiratory diseases.

  5. Leading causes of death, total population, by age group

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Feb 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2025). Leading causes of death, total population, by age group [Dataset]. http://doi.org/10.25318/1310039401-eng
    Explore at:
    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

  6. d

    IDPH Leading Causes of Death, Elderly - Ages of 64+, 2008

    • datadiscoverystudio.org
    • data.wu.ac.at
    Updated Oct 30, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2014). IDPH Leading Causes of Death, Elderly - Ages of 64+, 2008 [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/3045ee619fce49b88aab2228de44e8c4/html
    Explore at:
    Dataset updated
    Oct 30, 2014
    Description

    IDPH Leading Causes of Death, Elderly - Ages of 64+, 2008

  7. O

    SHIP Fall-Related Death Rate 2009-2021

    • opendata.maryland.gov
    • healthdata.gov
    • +3more
    application/rdfxml +5
    Updated Feb 22, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MDH Vital Statistics Administration (VSA) (2024). SHIP Fall-Related Death Rate 2009-2021 [Dataset]. https://opendata.maryland.gov/Health-and-Human-Services/SHIP-Fall-Related-Death-Rate-2009-2021/kz6e-axdv
    Explore at:
    csv, application/rssxml, tsv, application/rdfxml, json, xmlAvailable download formats
    Dataset updated
    Feb 22, 2024
    Dataset authored and provided by
    MDH Vital Statistics Administration (VSA)
    Description

    This is historical data. The update frequency has been set to "Static Data" and is here for historic value. Updated on 8/14/2024

    Fall-Related Death Rate - This indicator shows the rate of fall-related deaths per 100,000 population. Falls are a major cause of preventable death among the elderly and have increased across age groups in the past decade. Causes of fall-related deaths differ between the elderly and young and middle-aged populations, and require different prevention strategies. In 2009, falls accounted for 30% of accidental deaths. Link to Data Details

  8. f

    Socioeconomic Factors and All Cause and Cause-Specific Mortality among Older...

    • plos.figshare.com
    doc
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cleusa P. Ferri; Daisy Acosta; Mariella Guerra; Yueqin Huang; Juan J. Llibre-Rodriguez; Aquiles Salas; Ana Luisa Sosa; Joseph D. Williams; Ciro Gaona; Zhaorui Liu; Lisseth Noriega-Fernandez; A. T. Jotheeswaran; Martin J. Prince (2023). Socioeconomic Factors and All Cause and Cause-Specific Mortality among Older People in Latin America, India, and China: A Population-Based Cohort Study [Dataset]. http://doi.org/10.1371/journal.pmed.1001179
    Explore at:
    docAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS Medicine
    Authors
    Cleusa P. Ferri; Daisy Acosta; Mariella Guerra; Yueqin Huang; Juan J. Llibre-Rodriguez; Aquiles Salas; Ana Luisa Sosa; Joseph D. Williams; Ciro Gaona; Zhaorui Liu; Lisseth Noriega-Fernandez; A. T. Jotheeswaran; Martin J. Prince
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China, Latin America, India
    Description

    BackgroundEven in low and middle income countries most deaths occur in older adults. In Europe, the effects of better education and home ownership upon mortality seem to persist into old age, but these effects may not generalise to LMICs. Reliable data on causes and determinants of mortality are lacking. Methods and FindingsThe vital status of 12,373 people aged 65 y and over was determined 3–5 y after baseline survey in sites in Latin America, India, and China. We report crude and standardised mortality rates, standardized mortality ratios comparing mortality experience with that in the United States, and estimated associations with socioeconomic factors using Cox's proportional hazards regression. Cause-specific mortality fractions were estimated using the InterVA algorithm. Crude mortality rates varied from 27.3 to 70.0 per 1,000 person-years, a 3-fold variation persisting after standardisation for demographic and economic factors. Compared with the US, mortality was much higher in urban India and rural China, much lower in Peru, Venezuela, and urban Mexico, and similar in other sites. Mortality rates were higher among men, and increased with age. Adjusting for these effects, it was found that education, occupational attainment, assets, and pension receipt were all inversely associated with mortality, and food insecurity positively associated. Mutually adjusted, only education remained protective (pooled hazard ratio 0.93, 95% CI 0.89–0.98). Most deaths occurred at home, but, except in India, most individuals received medical attention during their final illness. Chronic diseases were the main causes of death, together with tuberculosis and liver disease, with stroke the leading cause in nearly all sites. ConclusionsEducation seems to have an important latent effect on mortality into late life. However, compositional differences in socioeconomic position do not explain differences in mortality between sites. Social protection for older people, and the effectiveness of health systems in preventing and treating chronic disease, may be as important as economic and human development. Please see later in the article for the Editors' Summary

  9. Deaths from cancer among the elderly South Korea 2018, by type

    • statista.com
    Updated Nov 22, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2021). Deaths from cancer among the elderly South Korea 2018, by type [Dataset]. https://www.statista.com/statistics/1085906/south-korea-deaths-from-cancer-among-the-elderly-by-type-of-cancer/
    Explore at:
    Dataset updated
    Nov 22, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    South Korea
    Description

    According to a study about elderly people over 65 years old in South Korea in 2018, lung cancer was the leading cause of death from cancer of elderly people in Korea. The number of deaths from lung cancer was higher than the deaths from the second and third most lethal types of cancer, colorectal and liver cancers, combined. Overall, more men than women died from cancer.

  10. T

    Tennessee Statewide Leading Causes of Death by Sex and Age Group 2019

    • healthdata.tn.gov
    application/rdfxml +5
    Updated Jun 26, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office of Vital Records and Statistics (2023). Tennessee Statewide Leading Causes of Death by Sex and Age Group 2019 [Dataset]. https://healthdata.tn.gov/Population-Health/Tennessee-Statewide-Leading-Causes-of-Death-by-Sex/ufk7-cemh
    Explore at:
    json, csv, application/rssxml, application/rdfxml, tsv, xmlAvailable download formats
    Dataset updated
    Jun 26, 2023
    Dataset authored and provided by
    Office of Vital Records and Statistics
    Area covered
    Tennessee
    Description

    Tabulated counts and rates for leading causes of death among several age groups within the year 2019.

  11. Death rate by age and sex in the U.S. 2021

    • statista.com
    • ai-chatbox.pro
    Updated Oct 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Death rate by age and sex in the U.S. 2021 [Dataset]. https://www.statista.com/statistics/241572/death-rate-by-age-and-sex-in-the-us/
    Explore at:
    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In the United States in 2021, the death rate was highest among those aged 85 and over, with about 17,190.5 men and 14,914.5 women per 100,000 of the population passing away. For all ages, the death rate was at 1,118.2 per 100,000 of the population for males, and 970.8 per 100,000 of the population for women. The death rate Death rates generally are counted as the number of deaths per 1,000 or 100,000 of the population and include both deaths of natural and unnatural causes. The death rate in the United States had pretty much held steady since 1990 until it started to increase over the last decade, with the highest death rates recorded in recent years. While the birth rate in the United States has been decreasing, it is still currently higher than the death rate. Causes of death There are a myriad number of causes of death in the United States, but the most recent data shows the top three leading causes of death to be heart disease, cancers, and accidents. Heart disease was also the leading cause of death worldwide.

  12. SHIP Fall-Related Death Rate 2009-2017

    • healthdata.gov
    • data.amerigeoss.org
    application/rdfxml +5
    Updated Feb 25, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    opendata.maryland.gov (2021). SHIP Fall-Related Death Rate 2009-2017 [Dataset]. https://healthdata.gov/State/SHIP-Fall-Related-Death-Rate-2009-2017/hv78-h2ak
    Explore at:
    xml, tsv, application/rdfxml, json, application/rssxml, csvAvailable download formats
    Dataset updated
    Feb 25, 2021
    Dataset provided by
    opendata.maryland.gov
    Description

    Fall-Related Death Rate - This indicator shows the rate of fall-related deaths per 100,000 population. Falls are a major cause of preventable death among the elderly and have increased across age groups in the past decade. Causes of fall-related deaths differ between the elderly and young and middle-aged populations, and require different prevention strategies. In 2009, falls accounted for 30% of accidental deaths.

  13. f

    Datasheet1_Chronic lead exposure and burden of cardiovascular disease during...

    • frontiersin.figshare.com
    zip
    Updated Apr 9, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Peizhu Dang; Manyun Tang; Heze Fan; Junjun Hao (2024). Datasheet1_Chronic lead exposure and burden of cardiovascular disease during 1990–2019: a systematic analysis of the global burden of disease study.zip [Dataset]. http://doi.org/10.3389/fcvm.2024.1367681.s001
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 9, 2024
    Dataset provided by
    Frontiers
    Authors
    Peizhu Dang; Manyun Tang; Heze Fan; Junjun Hao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundCardiovascular diseases (CVD) are the leading causes of death and disability worldwide. Lead exposure is an important risk factor for CVD. In our study, we aimed to estimate spatial and temporal trends in the burden of cardiovascular disease associated with chronic lead exposure.MethodsThe data collected for our study were obtained from Global Burden of Disease (GBD) study 2019 and analyzed by age, sex, cause, and location. To assess the temporal trends in burden of CVD attributable to chronic lead exposure over 30 years, we used Joinpoint regression analysis.ResultsIn 2019, the number of lead exposure-attributable CVD deaths and disability-adjusted life-years (DALYs) were 0.85 and 17.73 million, 1.7 and 1.4 times more than those observed in 1990, respectively. However, the corresponding age-standardized rates (ASR) of death and DALY gradually decreased from 1990 to 2019, especially from 2013 to 2019. Over the last 30 years, among 21 GBD regions and 204 countries and territories, the High-income Asia Pacific and the Republic of Korea experienced the largest reductions in age-standardized DALY and death rates, while Central Asia and Afghanistan experienced the largest increases. Males and the elderly population suffered higher death rates and DALY burdens than females and the young population. Furthermore, we observed that higher socio-demographic index (SDI) regions demonstrated lower ASR of death and DALY rates. In 2019, the low and low-middle SDI regions, especially South Asia, exhibited the highest burden of CVD attributable to lead exposure.ConclusionOur study provides a thorough understanding of the burden of CVD attributable to chronic lead exposure. The findings confirm the significance of implementing lead mitigation strategies and increasing investment in CVD prevention and treatment. These measures are crucial in reducing the burden of CVD and promoting public health on a global scale.

  14. Leading causes of death Philippines 2024, by disease

    • statista.com
    • ai-chatbox.pro
    Updated May 21, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Leading causes of death Philippines 2024, by disease [Dataset]. https://www.statista.com/statistics/1120528/philippines-leading-causes-mortality-by-disease/
    Explore at:
    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024 - Sep 2024
    Area covered
    Philippines
    Description

    Preliminary figures between January to September 2024 indicated that ischaemic heart disease was the leading cause of death in the Philippines. The number of people who died from this illness was estimated at 75,500. Following this, cancer resulted in the deaths of about 43,000 people. Eating habits Heart diseases have been linked to high meat consumption, among others. In the Philippines, pork has been the most consumed meat type, followed closely by chicken. While pork meat is typically produced domestically, the country also imports pork to supplement its supply. However, plant-based food has started gaining popularity among Filipinos. In fact, a 2024 survey revealed that 69 percent of surveyed Filipinos consumed plant-based products, including meat alternatives. Common diseases in the Philippines Aside from heart and cerebrovascular diseases, the Filipino population is also exposed to infections, diabetes, skin diseases, and illnesses resulting from high meat consumption. In 2020, over 700,000 Filipinos contracted acute respiratory tract infections, followed by over 400,000 diagnosed with hypertension. In areas with high exposure to rain, dengue infections and leptospirosis have also become prevalent.

  15. A

    ‘SHIP Fall-Related Death Rate 2009-2017’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 26, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘SHIP Fall-Related Death Rate 2009-2017’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-ship-fall-related-death-rate-2009-2017-470b/ca3497e5/?iid=002-222&v=presentation
    Explore at:
    Dataset updated
    Jan 26, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘SHIP Fall-Related Death Rate 2009-2017’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/5ffb706c-7ee2-4ed8-bfc5-8746152e59d0 on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    Fall-Related Death Rate - This indicator shows the rate of fall-related deaths per 100,000 population. Falls are a major cause of preventable death among the elderly and have increased across age groups in the past decade. Causes of fall-related deaths differ between the elderly and young and middle-aged populations, and require different prevention strategies. In 2009, falls accounted for 30% of accidental deaths.

    --- Original source retains full ownership of the source dataset ---

  16. Deaths and age-specific mortality rates, by selected grouped causes

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Feb 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2025). Deaths and age-specific mortality rates, by selected grouped causes [Dataset]. http://doi.org/10.25318/1310039201-eng
    Explore at:
    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of deaths and age-specific mortality rates for selected grouped causes, by age group and sex, 2000 to most recent year.

  17. f

    Table_2_Changes in mortality of Polish residents in the early and late old...

    • frontiersin.figshare.com
    • figshare.com
    pdf
    Updated Jun 2, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Monika Burzyńska; Małgorzata Pikala (2023). Table_2_Changes in mortality of Polish residents in the early and late old age due to main causes of death from 2000 to 2019.pdf [Dataset]. http://doi.org/10.3389/fpubh.2023.1060028.s002
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Frontiers
    Authors
    Monika Burzyńska; Małgorzata Pikala
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    PurposeThe aim of the study was to assess mortality trends in Poland between 2000 and 2019 in the early and late old age population (65–74 years and over 75 years).MethodsThe work used data on all deaths of Polish residents aged over 65 years (N = 5,496,970). The analysis included the five most common major groups of causes of death: diseases of the circulatory system, malignant neoplasms, diseases of the respiratory system, diseases of the digestive system and external causes of mortality. The analysis of time trends has been carried out with the use of joinpoint models. The Annual Percentage Change (APC) for each segments of broken lines, the Average Annual Percentage Change (AAPC) for the whole study period (95% CI), and standardized death rates (SDRs) were calculated.ResultsThe percentage of deaths due to diseases of the circulatory system decreased in all the studied subgroups. Among malignant neoplasms, lung and bronchus cancers accounted for the largest percentage of deaths, for which the SDRs among men decreased, while those among women increased. In the early old age, the SDR value increased from 67.8 to 76.3 (AAPC = 0.6%, p > 0.05), while in the late old age group it increased from 112.1 to 155.2 (AAPC = 1.8%, p < 0.05). Among men, there was an upward trend for prostate cancer (AAPC = 0.4% in the early old age group and AAPC = 0.6% in the late old age group, p > 0.05) and a downward trend for stomach cancer (AAPC −3.2 and −2.7%, respectively, p < 0.05). Stomach cancer also showed a decreasing trend among women (AAPC −3.2 and −3.6%, p < 0.05). SDRs due to influenza and pneumonia were increasing. Increasing trends in mortality due to diseases of the digestive system in women and men in the early old age group have been observed in recent years, due to alcoholic liver disease. Among the external causes of mortality in the late old age group, the most common ones were falls.ConclusionsIt is necessary to conduct further research that will allow to diagnose risk and health problems of the elderly subpopulation in order to meet the health burden of the aging society.

  18. Statewide Death Profiles

    • data.chhs.ca.gov
    • data.ca.gov
    • +3more
    csv, zip
    Updated Jun 26, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Public Health (2025). Statewide Death Profiles [Dataset]. https://data.chhs.ca.gov/dataset/statewide-death-profiles
    Explore at:
    csv(5401561), csv(2026589), csv(463460), csv(5034), csv(16301), csv(200270), csv(164006), csv(419332), csv(4689434), csv(364098), zipAvailable download formats
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    This dataset contains counts of deaths for California as a whole based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data.

    The final data tables include both deaths that occurred in California regardless of the place of residence (by occurrence) and deaths to California residents (by residence), whereas the provisional data table only includes deaths that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

    The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

  19. Hispanic Established Populations for Epidemiologic Studies of the Elderly,...

    • icpsr.umich.edu
    • search.datacite.org
    ascii, delimited, sas +2
    Updated Nov 25, 2009
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Markides, Kyriakos S.; Ray, Laura A. (2009). Hispanic Established Populations for Epidemiologic Studies of the Elderly, Wave IV, 2000-2001 [Arizona, California, Colorado, New Mexico, and Texas] [Dataset]. http://doi.org/10.3886/ICPSR04314.v2
    Explore at:
    ascii, stata, sas, delimited, spssAvailable download formats
    Dataset updated
    Nov 25, 2009
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Markides, Kyriakos S.; Ray, Laura A.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/4314/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/4314/terms

    Time period covered
    2000 - 2001
    Area covered
    California, New Mexico, Texas, Colorado, United States, Arizona
    Description

    This dataset comprises the third follow-up of the baseline Hispanic EPESE, HISPANIC ESTABLISHED POPULATIONS FOR THE EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1993-1994: ARIZONA, CALIFORNIA, COLORADO, NEW MEXICO, AND TEXAS, and provides information on 1,682 of the original respondents. The Hispanic EPESE collected data on a representative sample of community-dwelling Mexican-American elderly, aged 65 years and older, residing in the five southwestern states of Arizona, California, Colorado, New Mexico, and Texas. The primary purpose of the series was to provide estimates of the prevalence of key physical health conditions, mental health conditions, and functional impairments in older Mexican Americans and to compare these estimates with those for other populations. The Hispanic EPESE attempted to determine whether certain risk factors for mortality and morbidity operate differently in Mexican Americans than in non-Hispanic White Americans, African Americans, and other major ethnic groups. The public-use data cover background characteristics (age, sex, type of Hispanic race, income, education, marital status, number of children, employment, and religion), height, weight, social and physical functioning, chronic conditions, related health problems, health habits, self-reported use of dental, hospital, and nursing home services, and depression. The follow-ups provide a cross-sectional examination of the predictors of mortality, changes in health outcomes, and institutionalization and other changes in living arrangements, as well as changes in life situations and quality of life issues. The vital status of respondents from baseline to this round of the survey may be determined using the Vital Status file (Part 2). This file contains interview dates from the baseline as well as vital status at Wave IV (respondent survived, date of death if deceased, proxy-assisted, proxy-reported cause of death, proxy-true). The first follow-up of the baseline data (Hispanic EPESE Wave II, 1995-1996 [ICPSR 3385]) followed 2,438 of the original 3,050 respondents, and the second follow-up (Hispanic EPESE Wave III, 1998-1999 [ICPSR 4102]) followed 1,980 of these respondents. Hispanic EPESE, 1993-1994 (ICPSR 2851), was modeled after the design of ESTABLISHED POPULATIONS FOR EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1981-1993: EAST BOSTON, MASSACHUSETTS, IOWA AND WASHINGTON COUNTIES, IOWA, NEW HAVEN, CONNECTICUT, AND NORTH CENTRAL NORTH CAROLINA and ESTABLISHED POPULATIONS FOR EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1996-1997: PIEDMONT HEALTH SURVEY OF THE ELDERLY, FOURTH IN-PERSON SURVEY DURHAM, WARREN, VANCE, GRANVILLE, AND FRANKLIN COUNTIES, NORTH CAROLINA.

  20. f

    Table 1_Metabolic syndrome with mortality and major adverse cardiovascular...

    • frontiersin.figshare.com
    xlsx
    Updated May 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shailendra Kumar Karn; Fang Zhao; Yawei Xu; Yi Zhang; Chunlai Zeng; Imran Ibrahim Shaikh; Shekhar Singh; Yuling Feng (2025). Table 1_Metabolic syndrome with mortality and major adverse cardiovascular events in an elderly population.xlsx [Dataset]. http://doi.org/10.3389/fendo.2025.1570191.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset provided by
    Frontiers
    Authors
    Shailendra Kumar Karn; Fang Zhao; Yawei Xu; Yi Zhang; Chunlai Zeng; Imran Ibrahim Shaikh; Shekhar Singh; Yuling Feng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundCardiovascular disease (CVD) remains a leading cause of morbidity and mortality globally, with metabolic syndrome (MS) being a significant contributor to major adverse cardiovascular events (MACE). While the relationship between MS and CVD is well established, limited studies have focused on elderly populations, particularly in the context of long-term cardiovascular outcomes. This study aims to fill this gap by investigating the impact of MS and its components on MACE in an elderly population.MethodsWe conducted a prospective cohort study involving 3,352 elderly residents from the Northern Shanghai Study (NSS), followed for an average of 5.6 years. MS was defined based on modified NCEP ATP III criteria. The primary outcome was MACE, including non-fatal myocardial infarction (MI), non-fatal stroke, cardiovascular death, and all-cause mortality. Kaplan-Meier survival analysis and multivariate logistic regression were used to examine the association between MS and MACE.ResultsMS was present in 44.2% of the cohort. Participants with MS had a significantly higher incidence of MACE compared to those without MS (12.69% vs. 9.30%, p=0.02). MS was confirmed as an independent risk factor for MACE (HR 1.471, 95% CI 1.195–1.181, p=0.001). Among the individual components of MS, the combination of central obesity, hypertension, and hyperglycemia (ABD+BP+GLU) showed the strongest predictive value for MACE (HR 3.001, 95% CI 1.640–5.492, p

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). Main causes of death among the elderly in India 2017-2019 [Dataset]. https://www.statista.com/statistics/643488/aging-population-leading-causes-of-death-india/
Organization logo

Main causes of death among the elderly in India 2017-2019

Explore at:
Dataset updated
Jul 9, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
India
Description

Cardiovascular diseases were one leading causes of death among the aging population across India between 2017 and 2019. Cardiovascular diseases accounted to ** percent of the total share. Diabetes mellitus accounted for over ***** percent of the share of leading causes of death among people older than 70 years old during the same time period.

Search
Clear search
Close search
Google apps
Main menu