Average Years Of Potential Life Lost Research Articles

Economic burden of lives lost due to COVID-19 in California State

Aim: To examine the economic impact of lives lost due to the coronavirus pandemic across California and Los Angeles (LA) County. Patients & methods: Years of potential life lost (YPLL) and the value of statistical life (VSL) were calculated using mortality data from the California Department of Public Health, the LA County Department of Public Health and the Social Security Administration websites. Results: In California and LA County, the average YPLL per person were 14.3 and 14.7 and the VSLs were approximately US$219.9 billion and $82.7 billion, respectively. YPLL and VSL were greatest for Latinos aged 50–64. Conclusion: The economic burden of lives lost due to the coronavirus across California and LA County is substantial. Latinos aged 50–64 were most affected.

Life expectancy and years of potential life lost in bipolar disorder: systematic review and meta-analysis.

There is increasing research examining excess mortality in people with bipolar disorder using life expectancy and related measures, which quantify the disease impact on survival. However, there has been no meta-analysis to date summarising existing data on life expectancy in those with bipolar disorder. To systematically review and quantitatively synthesise estimates of life expectancy and years of potential life lost (YPLL) in people with bipolar disorder. We searched Embase, Medline, PsycINFO and Web of Science databases up to 31 March 2021. We generated pooled life expectancy using random-effects models, and derived YPLL summary estimate by calculating averaged values weighted by sample size of individual studies. Subgroup analyses were conducted for gender, geographical region, study period, a given age (set-age) for lifespan estimation and causes of death. The study was registered with PROSPERO (CRD42021241705). Eleven and 13 studies were included in the review for life expectancy (n = 96 601) and YPLL (n = 128 989), respectively. Pooled life expectancy was 66.88 years (95% CI 64.47-69.28; I2 = 99.9%, P < 0.001), was higher in women than men (70.51 (95% CI 68.61-72.41) v. 64.59 (95% CI 61.16-68.03); z = 2.00, P = 0.003) and was lowest in Africa. Weighted average YPLL was 12.89 years (95% CI 12.72-13.07), and was greatest in Africa. More YPLL was observed when lifespan was estimated at birth than at other set-age. YPLLs attributable to natural and unnatural deaths were 5.94 years (95% CI 5.81-6.07) and 5.69 years (95% CI 5.59-5.79), respectively. Bipolar disorder is associated with substantially shortened life expectancy. Implementation of multilevel, targeted interventions is urgently needed to reduce this mortality gap.

Years of potential life lost and productivity costs due to COVID-19 in Turkey: one yearly evaluation

ObjectivesThe aim of the study is to calculate the years of life lost (YLL) and years of potential life lost (YPLL) due to COVID-19, according to age groups in Turkey in the first year of the pandemic and the cost of this burden. Study designThis is an observational study with quantitative analyses. MethodsYLL due to premature deaths was calculated for men and women by interpolating the number of deaths and the expected life expectancy. YPLL was calculated according to the age 65 years. Productivity loss is an estimation of the cost of time lost at work-related activities—in a scenario analysis—using predetermined wage rates with the human capital theory. ResultsMen lost 205,177 (67.57%) years of life, whereas women lost 125,330 (32.43%) years of life. The YLL average age in men was 63.66 ± 14.66 years, and the YLL average age in women was 66.07 ± 15.46 years. The average YLL age in men was younger than in women (P < 0.001). Men lost 65,180 (70.16%) YPLL, whereas women lost 27,723 (29.84%) YPLL. The average YPLL age in women was younger than in men (P < 0.001). During one year of the pandemic, premature death cost Turkey 227,396,694 USD, the cost for one premature death was 14,187 USD, and the cost of any year of life lost was 1261 USD. ConclusionYLL and YPLLs are very closely associated with COVID-19 deaths in the country. The economic dimensions of the pandemic with human losses are quite high.

Mortality and Years of Potential Life Lost Due to COVID-19 in Brazil

In November 2020, Brazil ranked third in the number of cases of coronavirus disease 2019 (COVID-19) and second in the number of deaths due to the disease. We carried out a descriptive study of deaths, mortality rate, years of potential life lost (YPLL) and excess mortality due to COVID-19, based on SARS-CoV-2 records in SIVEP-Gripe (Ministry of Health of Brazil) from 16 February 2020, to 1 January 2021. In this period, there were 98,025 deaths from COVID-19 in Brazil. Men accounted for 60.5% of the estimated 1.2 million YPLLs. High YPLL averages showed prematurity of deaths. The population aged 45–64 years (both sexes) represented more than 50% of all YPLLs. Risk factors were present in 69.5% of deaths, with heart disease, diabetes and obesity representing the most prevalent comorbidities in both sexes. Indigenous people had the lowest number of deaths and the highest average YPLL. However, in indigenous people, pregnant women and mothers had an average YPLL of over 35 years. The excess mortality for Brazil was estimated at 122,914 deaths (9.2%). The results show that the social impacts of YPLL due to COVID-19 are different depending on gender, race and risk factors. YPLL and excess mortality can be used to guide the prioritization of health interventions, such as prioritization of vaccination, lockdowns, or distribution of facial masks for the most vulnerable populations.

Province-specific alcohol-attributable cancer deaths and years of potential life lost in China

ObjectiveCancer is a major cause of death in China. As alcohol drinking, a risk factor of cancer, is common in China, we aimed to estimate the alcohol-attributable cancer deaths and years of potential life lost (YPLL) across all provinces in China. MethodsWe estimated the proportion of cancer deaths and YPLL attributable to alcohol consumption at the province level. Population attributable fraction (PAF) was calculated based on: 1) prevalence of alcohol consumption, obtained from the China National Nutrition and Health Survey 2002; 2) dose-response relative risks (RRs) of alcohol consumption and site-specific cancer, extracted from published meta-analyses; 3) cancer mortality data, originated from the National Program of Cancer Registry 2013. ResultsWe estimated that 98,306 cancer deaths were attributable to alcohol consumption and accounted for 4.56 % of the total cancer deaths in China in 2013. Of these deaths, a total of 919,741.57 person-years premature loss of life was caused. Both overall PAF and average YPLL per 100,000 individuals were much higher in men than that in women (7.01 % vs. 0.33 % and 130.55 vs. 4.45, respectively). At the province level, overall PAF ranged from 2.14 % (95 % CI: 1.40 %–2.87 %) in Shanghai to 6.56 % (95 % CI: 4.06 %–9.05 %) in Anhui and the average YPLL per 100,000 individuals ranged from 10.97 in Tibet to 106.52 in Shandong. ConclusionsCancer burden attributable to alcohol consumption varied across provinces in China. Province-level approaches are warranted to decrease alcohol consumption and reduce the alcohol-related cancer burden.

Mortality Rates in People With Convulsive Epilepsy in Rural Northeast China.

Purpose: To examine the mortality rate and causes of death of phenobarbital (PB) monotherapy and sodium valproate (VPA) monotherapy in patients with convulsive epilepsy in rural northeast China and compare the differences in the results between the two antiepileptic drugs.Methods: Patients with convulsive epilepsy were recruited by trained public health workers in a project for epilepsy prevention and treatment. Patients were enrolled between January 2010 and December 2018 and were treated with PB or VPA. Mortality rate (MR), the proportional mortality ratio (PMR) for each cause, standardized mortality ratio, and years of potential life lost (YPLL) for sex, age, and cause were estimated based on the 2018 Chinese rural population.Results: A total of 3,916 patients with convulsive epilepsy enrolled in the study, of whom 3,418 received PB and 498 received VPA. There were 325 reported deaths (300 from the PB group) during the follow-up period. The MRs were 9.96 and 5.73% in the PB and VPA groups, respectively. The overall SMRs were 12.92 (95% confidence intervals [CI]: 11.50–13.93) and 7.39 (95% CI: 4.78–10.91), for the PB and VPA groups, respectively. Cerebrovascular disease and heart disease were the major causes of death in both treatment groups. The average YPLL for the PB group (21.9 years) was higher than that for the VPA group (13.4 years).Conclusion: This is the first epidemiological study to examine the MR of patients with epilepsy in rural northeast China. Our study is somewhat different from previous studies reported in China, and we provide new relevant data from northeast China.

Epidemiologic Characteristics of Suicide in Panama, 2007-2016.

Background and objectives: We aim to describe the demographic characteristics associated with suicide in Panama, to estimate the suicide mortality rate and years of potential life lost (YPLL) to suicide, and to explore the correlation of suicide rates with the Multidimensional Poverty Index (MPI). We present a descriptive retrospective epidemiological report of suicide-related mortality (Panama, 2007–2016). Materials and Methods: Data were matched-merged to calculate unadjusted suicide mortality rates (overall, and by sex, age groups, and administrative region), YPLL, and coefficients (r) for the correlation of MPI and suicide rates. Results: There were 1475 deaths by suicide (86% among men, 47% between 20 and 39 years). The average mortality rate was estimated at 3.91 per 100,000 population with an average YPLL rate of 3.79 per 1000 population. There was a statistically significant trend to reduce YPLL over time (r = −0.93; p < 0.001). Exploratory analyses did not show a significant correlation between the MPI and suicide rates. Our study showed a 6:1 male-to-female ratio of suicide, mostly affecting the age groups of 20–29 and over 80 years. Conclusions: Exploratory analyses on the correlation of the MPI and the suicide rates did not achieve statistical significance, and alternative explanations, such as access to pesticides and alcohol, were further explored to inform potential interventions.

Years of potential life lost and productivity costs due to premature mortality from six priority diseases in Tanzania, 2006-2015.

BackgroundMortality statistics are traditionally used to quantify the burden of disease and to determine the relative importance of the various causes of death. Some of the most frequently used indices to quantify the burden of disease are the years of potential life lost (YPLL) and years of potential productive life lost (YPPLL). These two measures reflect the mortality trends in younger age groups and they provide a more accurate picture of premature mortality. This study was carried out to determine YPLL, YPPLL and cost of productivity lost (CPL) due to premature mortality caused by selected causes of deaths in Tanzania.Methods and findingsMalaria, respiratory diseases, HIV/AIDS, tuberculosis, cancers and injuries were selected for this analysis. The number of deaths by sex and age groups were obtained from hospital death registers and ICD-10 reporting forms in 39 public hospitals in Tanzania, covering a period of 2006–2015. The life expectancy method and human capital approach were used to estimate the YPLL, YPPLL and CPL due to premature mortality. During 2006–2015, malaria, HIV/AIDS, tuberculosis, respiratory diseases, HIV+tuberculosis, cancer and injury were responsible for a total of 96,834 hospital deaths, of which 46.4% (n = 57,508) were among individuals in the productive age groups (15–64 years). The reported deaths contributed to 2,850,928 YPLL (female = 1,326,724; male = 1,524,205) with an average of 29 years per death. The average YPLL among females (32) was higher than among males (28). Malaria (YPLL = 38 per death) accounted for over one-third (35%) of the total YPLL. There was a significant increase in YPLL due to the selected underlying causes of death over the 10-year period. Deaths from the selected causes resulted into 1,207,499 YPPLL (average = 21 per death). Overall, HIV/AIDS contributed to the highest YPPLL (323,704), followed by malaria (243,490) and injuries (196,505). While there was a general decrease in YPPLL due to malaria, there was an increase of YPPLL due to HIV/AIDS, respiratory diseases, cancer and injuries during the 10-year period. The total CPL due to the six diseases was US$ 148,430,009 for 10 years. The overall CPL was higher among males than females by 29.1%. Over half (58%) of the losses were due to deaths among males. HIV/AIDS accounted for the largest (29.2%) CPL followed by malaria (17.8%) and respiratory diseases (14.6%). The CPL increased from US$11.4 million in 2006 to US$17.9 million in 2016.ConclusionsThe YPLL, YPPLL and CPL due to premature death associated with the six diseases in Tanzania are substantially high. While malaria accounted for highest YPLL, HIV/AIDS accounted for highest YPPLL and CPL. The overall CPL was higher among males than among females. Setting resource allocation priorities to malaria, HIV/AIDS and respiratory diseases that are responsible for the majority of premature deaths could potentially reduce the costs of productivity loss in Tanzania.

Regional trends in average years of potential life lost (AYPLL) secondary to prostate cancer deaths among Caucasians and African Americans treated by surgery or radiation.

To study regional trends in average years of potential life lost (AYPLL) among Caucasians (CA) and African Americans (AA) with prostate cancer (Pca) who received radical prostatectomy or radiation therapy among four different regions in the US as well as across different tumor grades. Years of potential life lost is defined as the difference between a predetermined end-point age and the age at death for a death that occurred prior to that end age, hence the AYPLL is calculated by dividing the total YPLL by the total number of patients died. The surveillance epidemiology and end results (SEER) database was used to identify Pca patients who were CA or AA and who have received radical prostatectomy or radiation therapy. Study duration was divided into four decades; 1973-1982 (D1), 1983-1992 (D2), 1993-2002 (D3), 2003-2012 (D4). Examined regions were; North East (NE), North central (NC), South and West. Tumor grade was classified into; well/moderately differentiated (WD/MD) and poorly/undifferentiated (PD/UD) groups. Differences in AYPLL among CA and AA in each of these variables were compared. Overall, compared to CA, AA were diagnosed and died earlier from Pca. AA had higher AYPLL to Pca than CA. In both tumor grade groups, progressive increase in AYPLL among AA compared to CA was noted over the last three decades. In the WD/MD group, except for the South region, the highest recorded difference in AYPLL between AA and CA was in D4. In the PD/UD group, a similar difference in AYPLL between AA and CA was noted in all regions. The difference in AYPLL was higher in the PD/UD group than the WD/MD group. Racial disparity between AA and CA existed across the examined regions. It is more pronounced in advanced tumor grades. The differences were more significant in the last decade.

Epidemiology of premature deaths in Chile between 2001 and 2010

Years of potential life lost (YPLL) is a parameter that allows to analyze premature deaths. To study the causes, differences by gender, geographic variations and the trend of premature deaths in the last decade in Chile. Using death databases published by the Ministry of Health, YPLL were calculated for the decade 2001-2010, using the method proposed by the Organization for Economic Cooperation and Development. The standardized annual average YPLL rate in Chile in the study period was 4.703 per 100,000 inhabitants. Trauma, cancer and cardiovascular diseases accounted for 68% of YPLL. The male/female YPLL ratio was 2.07; for trauma and mental disorders, the male/female ratio for YPLL was over 5; for cardiovascular and respiratory diseases the male/female ratio was over two. Regions with a higher proportion of rural areas had higher YPLL rates. The main causes of YPLL are potentially preventable. Further studies should be carried out to identify risk factors for premature death.

Premature mortality in poor health and low income adults with epilepsy.

To examine mortality and causes of death (CODs) in socioeconomically disadvantaged persons with epilepsy (PWEs) in the United States. We performed a retrospective open cohort analysis using Ohio Medicaid claims data between 1992 and 2008 to assess mortality and COD in 68,785 adult Medicaid beneficiaries with epilepsy. Case fatality (CF), mortality rates (MRs), standardized mortality ratios (SMRs), and years of potential life lost (YPLLs) were calculated. The SMRs were estimated to compare risk of death in PWEs with that in the general Medicaid population with and without disabilities. Proportionate mortality ratios (PMRs), YPLLs, and SMRs for specific COD were also obtained. There were 12,630 deaths in PWEs. CF was 18.4%, the age-race-sex adjusted MR was 18.6/1,000 person-years (95% confidence interval [CI], 18.3-18.9). The SMR was 1.8 (95% CI, 1.8-1.9) when compared to the general Medicaid population, and was 1.4 (95% CI, 1.3-1.6) when compared to those with disabilities. The average YPLL was 16.9years (range 1-47years). Both epilepsy and comorbid conditions significantly contributed to premature mortality in PWEs. Cardiovascular diseases, cancer, and unintentional injuries were the most common COD and account for a large proportion of YPLLs. Deaths from epilepsy-related causes occurred in about 10% of the cases. Socioeconomically deprived PWEs, especially young adults, experience high mortality and die 17years prematurely. The high mortality in Medicaid beneficiaries with epilepsy affirms that comorbid conditions and epilepsy play a crucial role in premature death. Management of comorbid conditions is, at a minimum, as important as epilepsy management, and therefore deserves more attention from physicians, particularly those who care for Medicaid beneficiaries with epilepsy.

Chronic disease mortality in rural and urban residents in Hubei Province, China, 2008–2010

BackgroundChronic non-communicable diseases have become the major cause of death in China. This study describes and compares chronic disease mortality between urban and rural residents in Hubei Province, central China.MethodsDeath records of all individuals aged 15 years and over who died from 2008 through 2010 in Hubei were obtained from the Disease Surveillance Points system maintained by the Hubei Province Centers for Disease Control and Prevention. Average annual mortality, standardized death rates, years of potential life lost (YLL), average years of potential life lost (AYLL) and rates of life lost were calculated for urban and rural residents. Standardized rate ratios (SRR) were calculated to compare the death rates between urban and rural areas.ResultsA total of 86.2% of deaths were attributed to chronic non-communicable diseases in Hubei. Cerebrovascular diseases, ischemic heart disease and neoplasms were the main leading causes in both urban and rural areas, and the mortality rates were higher among rural residents. Lung cancer was the principal cause of mortality from cancer among urban and rural residents, and stomach cancer and liver cancer were more common in rural than urban areas. Breast cancer mortality among women in rural areas was lower than in urban areas (SRR=0.73, 95% CI=0.63–0.85). The standardized mortality for chronic lower respiratory disease among men in rural areas was higher than in urban areas (SRR=4.05, 95% CI=3.82–4.29). Among men, total AYLL from liver cancer and other diseases of liver were remarkably higher than other causes in urban and rural areas. Among women the highest AYLL were due to breast cancer in both urban and rural areas.ConclusionsChronic diseases were the major cause of death in Hubei Province. While circulatory system diseases were the leading causes in both urban and rural areas, our study highlights that attention should also be paid to breast cancer among women and chronic lower respiratory disease among rural residents. It is important that governments focus on this public health issue and develop preventive strategies to reduce morbidity and premature mortality from chronic non-communicable diseases.

Years of potential life lost due to HIV infection and associated factors based on national HIV surveillance data in Latvia, 1991–2010

Latvia is still experiencing one of the highest human immunodeficiency virus (HIV) mortality rates in the European Union, and HIV is the 6(th) leading cause of death among young adults (15-39 y) in the country. The aim of the study was to determine the years of potential life lost (YPLL) as an indicator of premature mortality and the associated factors among people living with HIV (PLH) in Latvia. Data from the National Registry of HIV/AIDS Cases was used for the time period 1991-2010. Data on 738 deaths were analysed. The cut-off age for YPLL calculations was 65 y. Univariable analysis was done using Mann-Whitney and Kruskal-Wallis tests. A linear regression model was constructed for determining the independent effects of the particular factors on the number of YPLL. The total number of YPLL due to HIV in Latvia was 21,097 (50.4/100,000 general population; 511.1/1000 PLH). Each PLH who died had lost 28.8 YPLL on average. The numbers of YPLL reflect the population groups most affected by the HIV epidemic (young men, non-ethnic Latvians, living in the capital city, and being infected via drug injection). Our regression model indicated that among deceased PLH, non-Latvian ethnicity and injecting drug use as the mode of HIV transmission were associated with an additional 2.4 (p = 0.003) and 5.7 (p < 0.001) average YPLL, respectively. A considerable number of years of potential life have been lost in Latvia due to HIV. YPLL is significantly associated with ethnicity and mode of HIV transmission.

Survival after diagnosis of hepatocellular carcinoma and potential impact of treatment in a hepatitis B or C infected cohort

Little is known about the patterns of care and the impact of hepatocellular carcinoma (HCC) treatment on health outcomes at a population level. We conducted a population-based cohort study to examine HCC survival trends among people diagnosed with hepatitis B (HBV) or hepatitis C virus (HCV) infection, to determine predictors of receiving potentially curative therapy for HCC, and to examine the impact of HCC treatment on survival in New South Wales, Australia. The Kaplan-Meier method was used to estimate survival, logistic regression to determine predictors of potentially curative therapy and Cox proportional hazards models to determine the impact of HCC treatment on survival. Years of potential life lost (YPLL) were calculated. During the period 1993-2007, 1081 cases of HCC were diagnosed. Median survival increased from 10.4 months during 1993-1997 to 18.4 months during 1998-2002, with no further improvement thereafter. Younger age at diagnosis (<65 years), being Asian-born and having multiple comorbid conditions increased the odds of receiving curative therapy. The effect of HCC treatment on the risk of mortality was similar between the HBV- and HCV-related HCC groups. Tumor-specific therapies had adjusted hazard ratios ranging 0.06-0.25 and palliative/supportive therapy alone had adjusted hazard ratios ranging 0.76-1.08. The average YPLL per person was 23.3. The burden of viral hepatitis-related HCC is substantial. Despite treatment advances in recent years, there has been no significant improvement in HCC survival. Efforts to improve HCC screening and early diagnosis are required to deliver curative treatment which clearly has a survival advantage.

Retrospective research on proportion of HIV related death causes in nine counties in China

To investigate the proportion of HIV related death cause, and its years of potential life lost (YPLL) and work years of potential life lose (WYPLL) in project counties. According to the protocol of the third national death causes surveillance and HIV related death causes surveillance, retrospective study was implemented including baseline investigation of deaths' name list, demography information, door-to-door interview and death causes deduction in Gejiu, Ruili and Longchuan county in Yunnan province, Yangdong county in Guangdong province, Luzhai county in Guangxi zhuang Autonomous Region, Weishi and Zhecheng county in Henan province, Xishui county in Hubei province and Gu'an county in Hebei province. The study was conducted among nine counties located in seven provinces. A total of 118 719 cases were included, raw mortality was 5.83 per thousand, 2002 death cases were related to HIV, which contributed 1.67% of total deaths. The average age of HIV death was 38.03 yearsow, which was earlier than the non-HIV-related life-span (63.10 years). The YPLL and WYPLL of HIV death was 33.80 years and 20.50 years, respectively, which had contributed the second highest average YPLL. HIV has an important proportion among all death causes, and has contributed severe average YPLL and WYPLL.

Average Years of Potential Life Lost in Those Who Have Died from Brain and CNS Tumors in the USA

The aim of this study was to quantify the impact of all primary malignant and nonmalignant brain and central nervous system (CNS) tumors on mortality in the USA in terms of years of life lost, an indicator of premature mortality in the population. In this study, US mortality data for the year 2001 from the National Center for Health Statistics and life tables from the US Census Bureau were used. Person-years of potential life lost (PYPLL) and average years of potential life lost (AYPLL) were calculated for all deaths due to brain and CNS tumors as an underlying cause. 16,819 deaths due to brain and CNS tumors occurred in 2001, leading to a total loss of 357,483 person-years of life and an average loss of 21.3 years (AYPLL). Hispanic men and women had an AYPLL of 31.7 and 33.9 years, respectively, a figure substantially higher than other race and ethnicity categories. Malignant tumors led to an AYPLL of 25 years, which was significantly higher than the AYPLL of 19 years due to nonmalignant tumors. The relative impact of tumors arising in the various anatomical sites in the brain and CNS among adults and among children was not similar. The use of population survival indicators, such as PYPLL and AYPLL, will help better understanding of the effect of racial, ethnic, gender and age differences on the mortality due to malignant and nonmalignant brain and CNS tumors. Information on years of life lost, as well as mortality data, will be useful in focusing research priorities and resources in this field.

한국의 음주기인 사망수준의 변화 : 1995-2000

Although alcohol misuse contributes substantially to mortality from diseases, injuries and adverse effects, a few attempts have been made to figure out size of adverse consequences attributable to alcohol in Korea. This study was conducted to describe trends of estimated deaths attributable to alcohol in Korea. Estimations were made by employing Korean alcohol aetiological fraction(AEF) into deaths from alcohol-related diseases, injuries, and adverse effects from year of 1995 through 2000. Korean AEF was derived from previous studies on AEF applied to USA and Canada (Schultz et al.,1991; English et al., 1995) with reflecting peculiar drinking patterns in Korea. An average number of deaths attributable to alcohol was 21,123, accounting for 8.76% of all deaths reported to National Statistical Office during the period. Death rates attributable to alcohol tended to decrease from year of 1995 to 1997 and then increased with peak at year of 1999. Sex-age standardized alcohol attributable death rates varied among areas, with those of metropolitan areas being lower than those of non metropolitan areas. Years of potential life lost (YPLL) were estimated to reflect qualitative aspect of deaths attributable to alcohol. Similar change patterns during the year were observed between number of deaths and YPLL. Average YPLL of men was longer than that of women by about 4 years. Some implications for future study have been discussed.

External cause-specific summaries of occupational fatal injuries. Part II: an analysis of years of potential life lost.

Fatal injury surveillance data provide an opportunity to assess the impact of occupational injuries and may indicate which industries or occupations are appreciably more hazardous than others, and thus should be given priority in public health intervention. Fatalities from the National Traumatic Occupational Fatality surveillance system served as the basis for examining external cause (E-code) specific impact summaries. Years of potential life lost (YPLL) were calculated for fatal injuries in the years 1983-1994. Industries and occupations were compared with respect to frequency of fatal injuries. In addition, injuries in categories of external causes are examined across all industries and occupations. Machinery, electric current, homicide, falls, and transportation-related are the external cause groups highlighted by high frequency/rate of occurrence. Electric current event groups are also characterized by high average YPLL. Poisoning, conflagration, and lightning were also identified in several occupations as having high associated average YPLL. The external-cause-specific analysis of average YPLL identified industries and occupations where, on average, younger workers were dying in fatal injuries. Noteworthy in this assessment were homicides and falls. The YPLL measure coupled with more commonly employed indices (e.g., rates) may provide a fuller description of the impact of occupational fatal injuries.

A Graphical Analysis of Mortality Rates and Years of Potential Life Lost

One challenge in assessing occupational fatal injuries is choosing a summary measure of the impact of these injuries. Each metric emphasizes different aspects of health risk, and fatal injury reports often focus on only one summary measure at a time. Deaths from the National Traumatic Occupational Fatality database were combined into external cause of death (e-code) groups. Graphs comparing average years of potential life lost (YPLL), mortality rate, and their product, “YPLL-rate”, are presented for e-code groups overall, industries and occupations, and e-code groups within selected industries and occupations. This integrated analysis of fatal injury characteristics allows identification of the portion of the workforce at highest risk. Homicides and electrocutions (e-code groups) had high mortality rates, average YPLL, and YPLL-rates, both overall, and within several of the industries and occupations examined. The industry and occupation of Agriculture, Forestry, and Fishing experienced a very high mortality rate and the lowest average YPLL for both industries and occupations. Laborer was the most hazardous occupation for young workers with an average YPLL near 40, and a mortality rate greater than 15 deaths per 100,000 worker-years.