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Journal articles on the topic 'Life years lost'

Author: Grafiati

Published: 15 February 2025

Last updated: 31 July 2025

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1

Killock, David. "Life gained, years lost?" Nature Reviews Clinical Oncology 11, no. 6 (2014): 303. http://dx.doi.org/10.1038/nrclinonc.2014.67.

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2

Tu, Jack V. "Life Expectancy and Years of Potential Life Lost." Journal of the American College of Cardiology 66, no. 6 (2015): 656–58. http://dx.doi.org/10.1016/j.jacc.2015.05.073.

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3

Kuller, L. H. "Obesity and Years of Life Lost." JAMA: The Journal of the American Medical Association 289, no. 14 (2003): 1777—a—1777. http://dx.doi.org/10.1001/jama.289.14.1777-b.

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4

Aggarwal, Sanya. "Estimating Disability Adjusted Life Years using Survival Models in HIV/ AIDS Risk Groups." Journal of Communicable Diseases 53, no. 04 (2021): 36–47. http://dx.doi.org/10.24321/0019.5138.202172.

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Introduction: Advances in human immunodeficiency virus (HIV) treatment have led to greater survival rates and have brought about a shift in the burden of disease from mortality to morbidity. The main purpose of this study is to estimate the Disability Adjusted Life Years (DALYs) of HIV infected patients associated with different modes of transmission. Methods: Non-parametric Kaplan-Meier estimate has been utilised to develop survival function, and the mean residual life model has been utilised to estimate the life expectancy of patients alive at the end of the study. The impact of factors such

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5

Tönnies, Thaddäus, Annika Hoyer, and Ralph Brinks. "Productivity-adjusted life years lost due to type 2 diabetes in Germany in 2020 and 2040." Diabetologia 64, no. 6 (2021): 1288–97. http://dx.doi.org/10.1007/s00125-021-05409-3.

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Abstract Aims/hypothesis Type 2 diabetes can lead to reduced productivity during working age. We aimed to estimate productive life years lost associated with type 2 diabetes on the individual and population level in Germany in 2020 and 2040, while accounting for future trends in mortality. Methods Based on a mathematical projection model, we estimated age- and sex-specific productivity losses associated with type 2 diabetes during working age (20–69 years) in Germany in 2020 and 2040. Productivity losses in terms of excess mortality (years of life lost, YLL) and reductions in labour force part

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6

Andersen, Per Kragh, Vladimir Canudas-Romo, and Niels Keiding. "Cause-specific measures of life years lost." Demographic Research 29 (December 5, 2013): 1127–52. http://dx.doi.org/10.4054/demres.2013.29.41.

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7

Wendland, G., and K. Lauterbach. "PMI11 LIFE YEARS LOST DUE TO CHD." Value in Health 5, no. 3 (2002): 213. http://dx.doi.org/10.1016/s1098-3015(10)61036-4.

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8

McGoldrick, Kathryn E. "Years of Life Lost Due to Obesity." Survey of Anesthesiology 48, no. 1 (2004): 56–57. http://dx.doi.org/10.1097/01.sa.0000108478.38017.ad.

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9

Allison, D. B. "Obesity and Years of Life Lost--Reply." JAMA: The Journal of the American Medical Association 289, no. 14 (2003): 1777—b—1778. http://dx.doi.org/10.1001/jama.289.14.1777-c.

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10

Fontaine, Kevin R., David T. Redden, Chenxi Wang, Andrew O. Westfall, and David B. Allison. "Years of Life Lost Due to Obesity." JAMA 289, no. 2 (2003): 187. http://dx.doi.org/10.1001/jama.289.2.187.

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11

L, Tanya. "How the U.S. Lost Years of Life." Scientific American 328, no. 2 (2023): 76. http://dx.doi.org/10.1038/scientificamerican0223-76.

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12

Raicevic, Jagos, Milan Merkle, Joachim Enrhard, and Marko Ninkovic. "Years of life lost due to external radiation exposure." Nuclear Technology and Radiation Protection 19, no. 2 (2004): 40–46. http://dx.doi.org/10.2298/ntrp0402040r.

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In this paper a new approach for calculation of the years of life lost per excess death due to stochastic health effects is applied to external exposure pathways. The short-term external exposures are due to the passage of radioactive cloud and due to the skin and clothes contamination. The long-term external exposure is the one from the radioactive material deposited on the ground (groundshine). Three nuclides, 131I, 137Cs, and 239Pu, and with the extremely wide range of half-life are considered in order to examine their possible influence on the calculated values of years of life lost. For e

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13

Wrigley-Field, Elizabeth. "Life Years Lost to Police Encounters in the United States." Socius: Sociological Research for a Dynamic World 6 (January 2020): 237802312094871. http://dx.doi.org/10.1177/2378023120948718.

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How much life in the United States is lost to encounters with the police? The author builds on a demographic life table model by Edwards, Lee, and Esposito to estimate, for race- and gender-specific populations, how many years of life are lost in two categories of police encounters: (1) encounters involving officer use of force and (2) all deaths involving police encounters. Average life years lost by individuals who are killed ranges from 39 years (white men) to 52 years (Native women). The loss of years per 100,000 people over their collective lifetimes is largest for Black men, with 5,696 y

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14

Grisel, Burgos-Barreto, Reyes Daniel, and L. Tremblay Raymond. "Life Expectancy and Life Years Lost After HIV or AIDS Diagnosis: A Retrospective Cohort Study." International Journal of Current Science Research and Review 06, no. 04 (2023): 2409–16. https://doi.org/10.5281/zenodo.7826361.

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<strong>ABSTRACT: </strong>The AIDS pandemic on average took a life every minute in 2021 despite effective HIV treatment and tools to prevent, detect, and treat opportunistic infections.  The objective of this study was to estimate the average life expectancy and life years lost (LYL) in people diagnosed with HIV or AIDS in Puerto Rico from 2000-2020. The epidemiological design was a retrospective cohort study of 24,143 people diagnosed with HIV or AIDS and received services under the Eligible Metropolitan Area (EMA) of San Juan, Puerto Rico. The population with a diagnosis of HIV or AIDS

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15

Pikala, Małgorzata, Monika Burzyńska, and Irena Maniecka-Bryła. "Years of Life Lost Due to Cervical Cancer in Poland in 2000 to 2015." International Journal of Environmental Research and Public Health 16, no. 9 (2019): 1545. http://dx.doi.org/10.3390/ijerph16091545.

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The aim of the study was an analysis of years of life lost due to cervical cancer in Poland in the period 2000 to 2015 with consideration given to differences related to education and place of residence. The study material was 28,274 death certificates of all female inhabitants of Poland, who died in 2000 to 2015 due to cervical cancer. In order to calculate years of life lost, the authors used indices: SEYLLp (Standard Expected Years of Life Lost per living person), SEYLLd (per deaths) and AAPC (Average Annual Percentage Change). The SEYLLp index (per 100,000) due to cervical cancer in Poland

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16

Stevens, A. J., E. S. Searle, and G. P. Winyard. "AIDS and life years lost: one district's challenge." BMJ 294, no. 6571 (1987): 572–73. http://dx.doi.org/10.1136/bmj.294.6571.572-a.

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17

Benjamin, Bernard. "Years of life lost and other mortality indices." Journal of the Institute of Actuaries 115, no. 4 (1988): 709–19. http://dx.doi.org/10.1017/s002026810004292x.

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In 1953 together with a colleague (Benjamin and Logan) the author called attention to a paper by Haenzel (1950) describing a new index of mortality years of life lost.The argument was that many people were living for more than the three score and ten years and that every earlier death represented a loss of potential further years of life; that adding up the total years of life lost might be a significant measure of the toll of largely preventable disease; that changes in this total year by year would maximize the improvement gained by curative and especially preventative medicine.

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18

Lin, Charles C., and Norman J. Johnson. "Decomposition of life expectancy and expected life-years lost by disease." Statistics in Medicine 25, no. 11 (2006): 1922–36. http://dx.doi.org/10.1002/sim.2381.

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19

Mazurek, Jacek M., John Wood, David J. Blackley, and David N. Weissman. "Coal Workers’ Pneumoconiosis–Attributable Years of Potential Life Lost to Life Expectancy and Potential Life Lost Before Age 65 Years — United States, 1999–2016." MMWR. Morbidity and Mortality Weekly Report 67, no. 30 (2018): 819–24. http://dx.doi.org/10.15585/mmwr.mm6730a3.

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20

Cervantes, Claudio Alberto Dávila, and Marcela Agudelo Botero. "Average years of life lost due to breast and cervical cancer and the association with the marginalization index in Mexico in 2000 and 2010." Cadernos de Saúde Pública 30, no. 5 (2014): 1093–102. http://dx.doi.org/10.1590/0102-311x00113813.

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The objective of this study was to calculate average years of life lost due to breast and cervical cancer in Mexico in 2000 and 2010. Data on mortality in women aged between 20 and 84 years was obtained from the National Institute for Statistics and Geography. Age-specific mortality rates and average years of life lost, which is an estimate of the number of years that a person would have lived if he or she had not died prematurely, were estimated for both diseases. Data was disaggregated into five-year age groups and socioeconomic status based on the 2010 marginalization index obtained from th

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21

Pyankova, Anastasiya I., Timur A. Fattakhov, and Mikhail B. Denisenko. "Years of Life Lost due to Premature Mortality in Russia, 1990-2021." Population and Economics 8, no. 4 (2024): 92–122. https://doi.org/10.3897/popecon.8.e112749.

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According to the Global Burden of Disease, in Russia in 2019, the standardised rate of years of life lost from premature mortality reached its lowest value since the early 1990s. Still, it was 1.5 and 1.3 times higher than the similar rates for men and women in the WHO European Region. The authors sought to trace the evolution of the structural characteristics of years of life lost in Russia from 1990 to 2021 and identify the factors that led to such a significant gap in the level of losses from premature mortality. Estimates of the absolute number of years of life lost (YLL), age-specific (AY

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22

Pyankova, Anastasiya I., Timur A. Fattakhov, and Mikhail B. Denisenko. "Years of Life Lost due to Premature Mortality in Russia, 1990-2021." Population and Economics 8, no. (4) (2024): 92–122. https://doi.org/10.3897/popecon.8.e112749.

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According to the Global Burden of Disease, in Russia in 2019, the standardised rate of years of life lost from premature mortality reached its lowest value since the early 1990s. Still, it was 1.5 and 1.3 times higher than the similar rates for men and women in the WHO European Region. The authors sought to trace the evolution of the structural characteristics of years of life lost in Russia from 1990 to 2021 and identify the factors that led to such a significant gap in the level of losses from premature mortality. Estimates of the absolute number of years of life lost (YLL), age-specific (AY

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23

Kondrova, Nina S., Elmira R. Shaykhlislamova, Tatiana K. Larionova, Evgeniy G. Stepanov, Marina V. Frants, and Nadezhda I. Simonova. "Disability-adjusted life years due to occupational diseases in agriculture workers." Hygiene and sanitation 101, no. 1 (2022): 53–61. http://dx.doi.org/10.47470/0016-9900-2022-101-1-53-61.

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Introduction. Currently, many agro-industrial countries are experiencing a rapid intensification of agricultural and livestock production, which can critically affect the health of workers employed in agriculture, one of the five leading sectors of the economy with an increased risk of occupational diseases. Materials and methods. In order to assess the lost years of healthy life due to occupational diseases among agricultural workers of the Republic of Bashkortostan, 1,199 cases of chronic occupational morbidity of workers over 57 years (1960-2017) were analyzed; the number of years of life n

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24

Smyth, Breda, Valerie Hoffman, Jing Fan, and Yih-Ing Hser. "Years of potential life lost among heroin addicts 33 years after treatment." Preventive Medicine 44, no. 4 (2007): 369–74. http://dx.doi.org/10.1016/j.ypmed.2006.10.003.

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25

Kříž, Jaroslav. "Lost Years of Healthy Life in the Czech Republic." Hygiena 61, no. 2 (2016): 88–90. http://dx.doi.org/10.21101/hygiena.a1451.

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26

Hankey, B. F. "Stat Bite: Average Years of Life Lost per Person." JNCI Journal of the National Cancer Institute 84, no. 17 (1992): 1311. http://dx.doi.org/10.1093/jnci/84.17.1311.

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27

Espinosa-Yépez, Kevin Ricardo. "Years of life lost due to cancer in Ecuador." Cancer Epidemiology 94 (February 2025): 102717. http://dx.doi.org/10.1016/j.canep.2024.102717.

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28

Luz, P. M., B. Grinsztejn, and A. P. Galvani. "Disability adjusted life years lost to dengue in Brazil." Tropical Medicine & International Health 14, no. 2 (2009): 237–46. http://dx.doi.org/10.1111/j.1365-3156.2008.02203.x.

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29

HAYBITTLE, JOHN L. "Should Years Lost Always be Equated with Life Expectancy?" International Journal of Epidemiology 23, no. 3 (1994): 592–94. http://dx.doi.org/10.1093/ije/23.3.592.

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30

Marlow, A. K. "Potential years of life lost: what is the denominator?" Journal of Epidemiology & Community Health 49, no. 3 (1995): 320–22. http://dx.doi.org/10.1136/jech.49.3.320.

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31

Andersen, Per Kragh. "Life years lost among patients with a given disease." Statistics in Medicine 36, no. 22 (2017): 3573–82. http://dx.doi.org/10.1002/sim.7357.

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32

Baudisch, Annette, and Jose Manuel Aburto. "How lifespan and life years lost equate to unity." Demographic Research 50 (April 4, 2024): 643–66. http://dx.doi.org/10.4054/demres.2024.50.24.

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33

Grover, Steven A., Mohammed Kaouache, Philip Rempel, et al. "Years of life lost and healthy life-years lost from diabetes and cardiovascular disease in overweight and obese people: a modelling study." Lancet Diabetes & Endocrinology 3, no. 2 (2015): 114–22. http://dx.doi.org/10.1016/s2213-8587(14)70229-3.

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34

Andarwatolanrain, Ana Nurjanah, Bambang Riyanto, and Hari Kusnanto. "Years of potential life lost due to HIV-AIDS infection and associated factors in Yogyakarta." Berita Kedokteran Masyarakat 32, no. 1 (2016): 1. http://dx.doi.org/10.22146/bkm.7881.

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Years of potential life lost due to HIV-AIDS infection and associated factors in YogyakartaPurposeThis study aimed to determine the years of potential life lost and associated factors among people living with HIV in Yogyakarta special region, Indonesia.MethodsThis research was an observational study with a retrospective cohort design. Data included socio-demographic factors, behaviour and clinical conditions at time of diagnosis that were collected from medical records in Dr. Sardjito hospital. The cut-off age for years of potential life lost calculations was 65 years. ResultsThere were 193 pe

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35

Perea, Lillia Magali Estrada, Alexandra Crispim Boing, Marco Aurélio Peres, and Antonio Fernando Boing. "Potential years of life lost due to oropharyngeal cancer in Brazil: 1979 to 2013." Revista de Saúde Pública 53 (February 7, 2019): 67. http://dx.doi.org/10.11606/s1518-8787.2019053001054.

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OBJECTIVE: To estimate the years of life lost by the Brazilian population due to mouth and pharynx cancer from 1979 to 2013, and analyze the temporal trends in the studied period, according to the country’s region, sex and anatomical site. METHODS: The death records were obtained from the Mortality Information System and the data referring to the population, from the censuses of the Brazilian Institute of Geography and Statistics of 1980, 1991, 2000, 2010, and from intercensal estimates for the other years. The rates of potential years of life lost were calculated by applying the method sugges

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36

Chan, Eunice Y. S., Davy Cheng, and Janet Martin. "Impact of COVID-19 on excess mortality, life expectancy, and years of life lost in the United States." PLOS ONE 16, no. 9 (2021): e0256835. http://dx.doi.org/10.1371/journal.pone.0256835.

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This paper quantifies the net impact (direct and indirect effects) of the pandemic on the United States population in 2020 using three metrics: excess deaths, life expectancy, and total years of life lost. The findings indicate there were 375,235 excess deaths, with 83% attributable to direct, and 17% attributable to indirect effects of COVID-19. The decrease in life expectancy was 1.67 years, translating to a reversion of 14 years in historical life expectancy gains. Total years of life lost in 2020 was 7,362,555 across the USA (73% directly attributable, 27% indirectly attributable to COVID-

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37

Moga, Ana-Maria. "Fictionalising Shakespeare’s ‘Lost Years’: Will’s Rise to Fame." Linguaculture 14, no. 1 (2023): 101–20. http://dx.doi.org/10.47743/lincu-2023-1-0332.

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While the lack of information on Shakespeare’s life poses a great challenge to biographers in their pursuit of compiling the poet’s definitive Life, it is the early years of his career–the so-called ‘Lost Years’–which represent perhaps the biggest mystery to historians. Consequently, biographies fill in this gap by relying mostly on speculation and theories rather than hard facts. For this reason, this period seems to be a favourite for fictional representations of William Shakespeare’s life, offering the most space for creativity for the authors. Craig Pearce’s TV series Will (2017) specifica

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38

Owen, Alice J., Salsabil B. Maulida, Ella Zomer, and Danny Liew. "Productivity burden of smoking in Australia: a life table modelling study." Tobacco Control 28, no. 3 (2018): 297–304. http://dx.doi.org/10.1136/tobaccocontrol-2018-054263.

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ObjectivesThis study aimed to examine the impact of smoking on productivity in Australia, in terms of years of life lost, quality-adjusted life years (QALYs) lost and the novel measure of productivity-adjusted life years (PALYs) lost.MethodsLife table modelling using contemporary Australian data simulated follow-up of current smokers aged 20–69 years until age 70 years. Excess mortality, health-related quality of life decrements and relative reduction in productivity attributable to smoking were sourced from published data. The gross domestic product (GDP) per equivalent full-time (EFT) worker

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39

Andersen, Lykke E., and Alejandra Gonzáles Rocabado. "Life and Death During the First Year of the COVID-19 Pandemic: An analysis of cross-country differences in changes in quantity and quality of life." Revista Latinoamericana de Desarrollo Económico, no. 35 (May 7, 2021): 9–57. http://dx.doi.org/10.35319/lajed.202135438.

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This study carries out a cross-country analysis of changes in quantity and quality of life during the first year of the COVID-19 pandemic for 124 countries. Changes in the quantity of life are measured as life years lost to COVID-19, including excess deaths not officially reported as COVID-19 deaths. Changes in quality of life are proxied by the average change in daily mobility, compared to a pre-COVID baseline. We find a significant negative correlation between the two, meaning that the countries with the biggest reductions in mobility are also the countries with the biggest losses of life ye

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40

Gebeyehu, Daniel Teshome, Leah East, Stuart Wark, and Md Shahidul Islam. "Disability-adjusted life years (DALYs) based COVID-19 health impact assessment: A systematic review protocol." PLOS ONE 17, no. 9 (2022): e0274468. http://dx.doi.org/10.1371/journal.pone.0274468.

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Background COVID-19 is a highly contagious infectious disease that emerged in 2019. This disease is causing devastating health, socio-economic, and economic crises. More specifically COVID-19 is affecting both the quality and length of human life. The overall health impact of this disease is measured by the disability-adjusted life years which is the sum of the life years lost due to disability (the effect on the health quality) and the years life lost due to premature death (effect on the length of life). The purpose of this review is to summarise DALYs-based health impact publications and pr

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41

Carson, Daniel S., Navya Gunaje, Sarah K. Holt, et al. "Abstract C139: Cancer related excess death and potential life years lost among Black Americans." Cancer Epidemiology, Biomarkers & Prevention 33, no. 9_Supplement (2024): C139. http://dx.doi.org/10.1158/1538-7755.disp24-c139.

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Abstract Introduction: Cancer represents the second leading cause of death in the United States and disproportionately affects Black Americans. In recent years, cancer-related mortality rates have declined for both Black and White Americans. However, mortality rates and rate ratios alone are insufficient for characterizing the burden of cancer disparities between racial groups. Among the most prevalent cancers in the US, we evaluated trends in excess mortality and years of potential life lost between Black and White Americans. Methods: This was a serial cross-sectional study using US national

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42

Mahendran, C. S., S. M. Kumar, and P. Katara. "Life expectancy decline in people with treated tuberculosis and the possible benefits of prophylaxis." CARDIOMETRY, no. 25 (February 14, 2023): 1444–49. http://dx.doi.org/10.18137/cardiometry.2022.25.14441449.

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Background: Evidence of significant, measurable, and preventable loads of mortality risk even after anti-tuberculosis therapy and cure would be a convincing, tangible, and meaningful indicator of the efficacy of prevention. Aims & Objectives: To study of a life expectancy decline in people with treated tuberculosis and the possible benefits of prophylaxis Methods & Materials: We examined the years of potential life lost between 918 people with latent tuberculous infection and a cohort of 386 cured tuberculosis (TB) patients. To estimate the anticipated years of potential life lost for

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43

Yaghoobi, Halimeh, Hassan Ahmadinia, Ziba Shabani, et al. "Life expectancy and years of life lost in HIV patients under the care of BandarAbbas Behavioral Disorders Counseling Center." Nepal Journal of Epidemiology 7, no. 4 (2018): 702–12. http://dx.doi.org/10.3126/nje.v7i4.20627.

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Background: HIV epidemic is mostly targeted adults and has numerous negative health, social, economic, cultural and political consequences. In this study Life Expectancy (LE) and Average Years of Life Lost (AYLL) in HIV/AIDS patients are estimated.Materials and Methods: In this descriptive study all the patients at the age of 18 and more under the care of BandarAbbas Behavioral Disorders Counseling Center (BBDCC) during 2005-2015 are included. The town of BandarAbbas is center of Hormozgan Province in southern Iran. LE and AYLL have been estimated based on Life Table.Results: One hundred thirt

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44

Liu, Xiang, Dan Wang, Ruoxin Fan, et al. "Life expectancy and potential years of life lost for schizophrenia in western China." Psychiatry Research 308 (February 2022): 114330. http://dx.doi.org/10.1016/j.psychres.2021.114330.

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45

Muñoz-Terol, José Manuel, José L. Rocha, Pablo Castro-de la Nuez, Emilio García-Cabrera, and Ángel Vilches-Arenas. "Years of Potential Life Lost on Renal Replacement Therapy: Retrospective Study Cohort." Journal of Clinical Medicine 12, no. 1 (2022): 51. http://dx.doi.org/10.3390/jcm12010051.

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Background: Chronic kidney disease is the non-communicable disease with the highest growth in morbidity and mortality. Renal transplantation (RT) is the first option of renal replacement in end-stage kidney disease (ESKD) and dialysis is an alternative. However, there is no objective quantification of the impact of both options on a patient’s overall survival. The purpose of our study is to assess the potential years of life lost by patients on renal replacement therapy. Methods: Retrospective study cohort conducted from 2008 to 2018 based on autonomic data registry. Results: 11,551 patients i

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46

Musango, Laurent, Ajoy Nundoochan, Philippe Van Wilder, and Joses Muthuri Kirigia. "Monetary value of disability-adjusted life years lost from all causes in Mauritius in 2019." F1000Research 10 (February 3, 2021): 63. http://dx.doi.org/10.12688/f1000research.28483.1.

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Background: The Republic of Mauritius had a total of 422,567 disability-adjusted life years (DALYs) from all causes in 2019. This study aimed to estimate the monetary value of DALYs lost in 2019 from all causes in Mauritius and those projected to be lost in 2030; and to estimate the monetary value of DALYs savings in 2030 if Mauritius were to attain the national targets related to five targets of the United Nations Sustainable Development Goal 3 on good health and well-being. Methods: The human capital approach was used to monetarily value DALYs lost from 157 causes in 2019. The monetary value

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47

Gardner, John W., and Jill S. Sanborn. "Years of Potential Life Lost (YPLL)—What Does it Measure?" Epidemiology 1, no. 4 (1990): 322–29. http://dx.doi.org/10.1097/00001648-199007000-00012.

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48

Gefeller, Olaf. "Years of Potential Life Lost (YPLL)—What Does It Measure?" Epidemiology 2, no. 2 (1991): 160. http://dx.doi.org/10.1097/00001648-199103000-00016.

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49

Yip, Paul S. F., Ka Y. Liu, and C. K. Law. "Years of Life Lost from Suicide in China, 1990–2000." Crisis 29, no. 3 (2008): 131–36. http://dx.doi.org/10.1027/0227-5910.29.3.131.

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Suicide is an important public health problem in China: It is the fifth leading cause of death in China, and suicide in China accounts for over 30% of the worlds overall suicide deaths. The substantial burden due to suicide has not been well recognized. This study aims to provide an estimate of the socioeconomic burden of the suicide problem in China in terms of years of life lost (YLL) and to discuss its implications. Suicide rates and the related YLL by age, gender, and region (urban/rural) from 1990 to 2000 were estimated using the most recent data from the Ministry of Health of China. The

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50

Larson, Bruce A. "Calculating disability-adjusted-life-years lost (DALYs) in discrete-time." Cost Effectiveness and Resource Allocation 11, no. 1 (2013): 18. http://dx.doi.org/10.1186/1478-7547-11-18.

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