Оценка риска здоровью и социально-экономических потерь, ассоциированных с неинфекционными алиментарно-зависимыми заболеваниями

Years of potential life lost among heroin addicts 33 years after treatment

Incidence and survival rates are commonly reported statistics, but these may fail to capture the full impact of childhood cancers. We describe the years of potential life lost (YPLL) and years of life lived with disease (YLLD) in children and adolescents who died of cancer in the United States to estimate the impact of childhood cancer in the United States in 2009. We examined mortality data in 2009 among children and adolescents <20 years old in both the National Vital Statistics System (NVSS) and the Surveillance, Epidemiology, and End Results (SEER) datasets. YPLL and YLLD were calculated for all deaths due to cancer. Histology-specific YPLL and YLLD of central nervous system (CNS) tumors, leukemia, and lymphoma were estimated using SEER. There were 2233 deaths and 153,390.4 YPLL due to neoplasm in 2009. CNS tumors were the largest cause of YPLL (31%) among deaths due to cancer and were the cause of 1.4% of YPLL due to all causes. For specific histologies, the greatest mean YPLL per death was due to atypical teratoid/rhabdoid tumor (78.0 years lost). The histology with the highest mean YLLD per death in children and adolescents who died of cancer was primitive neuroectodermal tumor (4.6 years lived). CNS tumors are the most common solid malignancy in individuals <20 years old and have the highest YPLL cost of all cancers. This offers the first histology-specific description of YPLL in children and adolescents and proposes a new measure of cancer impact, YLLD, in individuals who die of their disease. YPLL and YLLD complement traditional indicators of mortality and help place CNS tumors in the context of other childhood malignancies.

All causes of death related to the two risk factors, smoking and hazardous drinking, have been reviewed followed by a selection of those causes of death for which the causal role of the risk factor appears to be quasi-certain. For each cause, existing epidemiologic data were reviewed and used to determine the fraction of premature mortality which could be attributed to each factor (called the attributable fraction). This fraction was then multiplied by the corresponding Canadian premature mortality measured in terms of deaths between ages one and 70 and potential years of life lost (PYLL) between ages one and 70, which gives a higher weight to younger deaths. Of the 73,440 deaths between ages one and 70 in Canada in 1974, 12% (or 8718 deaths) were found to be attributable to current smoking and 6% (4716) to hazardous drinking. In terms of PYLL between ages one and 70, hazardous drinking ranks ahead of current smoking with 10% (or 132,044 PYLL) of the total PYLL, whereas current smoking represents 8% (105,085 PYLL) of the total . Regardless of whether premature mortality is expressed in terms of deaths or PYLL, about 18% of Canadian premature mortality is attributable to current smoking and/or drinking (with the range of possible values being 14-22%).

Diagnoses associated with the greatest years of potential life lost for in-hospital deaths in the United States, 1988–2010

Amid efforts in the US to promote health equity, there is a need to assess recent progress in reducing excess deaths and years of potential life lost among the Black population compared with the White population. To evaluate trends in excess mortality and years of potential life lost among the Black population compared with the White population. Serial cross-sectional study using US national data from the Centers for Disease Control and Prevention from 1999 through 2020. We included data from non-Hispanic White and non-Hispanic Black populations across all age groups. Race as documented in the death certificates. Excess age-adjusted all-cause mortality, cause-specific mortality, age-specific mortality, and years of potential life lost rates (per 100 000 individuals) among the Black population compared with the White population. From 1999 to 2011, the age-adjusted excess mortality rate declined from 404 to 211 excess deaths per 100 000 individuals among Black males (P for trend <.001). However, the rate plateaued from 2011 through 2019 (P for trend = .98) and increased in 2020 to 395-rates not seen since 2000. Among Black females, the rate declined from 224 excess deaths per 100 000 individuals in 1999 to 87 in 2015 (P for trend <.001). There was no significant change between 2016 and 2019 (P for trend = .71) and in 2020 rates increased to 192-levels not seen since 2005. The trends in rates of excess years of potential life lost followed a similar pattern. From 1999 to 2020, the disproportionately higher mortality rates in Black males and females resulted in 997 623 and 628 464 excess deaths, respectively, representing a loss of more than 80 million years of life. Heart disease had the highest excess mortality rates, and the excess years of potential life lost rates were largest among infants and middle-aged adults. Over a recent 22-year period, the Black population in the US experienced more than 1.63 million excess deaths and more than 80 million excess years of life lost when compared with the White population. After a period of progress in reducing disparities, improvements stalled, and differences between the Black population and the White population worsened in 2020.

<h3>Background</h3> Disease burden is the impact of a health problem on a given area, which can be used to prioritize actions in health, assess performance of healthcare and disease management, identify high-risk populations, and set research priorities. Disease burden can be measured using a variety of indicators such as mortality, morbidity or financial cost. For SLE, despite a relatively good 10 year survival (95%, vs 97% in controls), its mortality rate remains high relative to general population mortality rate as shown in our analysis of the Centers for Disease Control (CDC)'s mortality database comprising of 62,843 SLE deaths. However, mortality rates may not adequately measure SLE burden, because among those who died, a fifth of patients died before reaching 40 years of age. Premature mortality, a measure of burden first proposed in 1940s to address the inadequacy of mortality in measuring the burden of tuberculosis, is an important way to quantify disease burden. In constructing a measure of premature death, an arbitrary limit to life is chosen, and the calculation of the difference between an age at death and this arbitrary limit is defined as the life lost as a result of that death. To assess the relative burden of SLE, we measured the years of potential life lost (YPLL) for SLE relative to CDC's top 15 leading causes of death. <h3>Methods</h3> This is a population-based study. Death counts were obtained from the CDC-WONDER database. Number of deaths were tabulated for top 15 CDC's leading causes-of-death and SLE. To calculate YPLL, each decedent's age at death from a specific disease was subtracted from a predetermined age of 75 years. The years of potential life lost were then added together to yield the total YPLL. <h3>Results</h3> 28 411 female SLE deaths were recorded during 2000–2015. The ranking of SLE deaths relative to the CDC's official leading-causes-of-death ranklist in females showed that SLE is within the top 15 leading causes-of-death in reproductive age women (15–44 years) and tenth among women ages 15–24 years. We calculated YPLL for SLE relative to the CDC's official 15 leading causes-of-death in women ages 15–44 and 15–24. YPLL for SLE ranked 14th in women ages 15–44, and 8th in women ages 15–24, above diabetes mellitus, HIV disease, septicemia, chronic lower respiratory disease, anemias, nephritis, and cerebrovascular disease. <h3>Conclusions</h3> SLE is among the leading cause of YPLL in young women, underscoring SLE as an important public health issue.

Years of Potential Life Lost and Productivity Losses From Male Urogenital Cancer Deaths—United States, 2004

Premature mortality refers to deaths that occur before the expected age of death in a given population. Years of life lost (YLL) is a standard parameter that is frequently used to quantify some component of an "avoidable" mortality burden. To identify the studies on premature cardiovascular disease (CVD) mortality and synthesise their findings on YLL based on the regional area, main CVD types, sex, and study time. We conducted a systematic review of published CVD mortality studies that reported YLL as an indicator for premature mortality measurement. A literature search for eligible studies was conducted in five electronic databases: PubMed, Scopus, Web of Science (WoS), and the Cochrane Central Register of Controlled Trials (CENTRAL). The Newcastle-Ottawa Scale was used to assess the quality of the included studies. The synthesis of YLL was grouped into years of potential life lost (YPLL) and standard expected years of life lost (SEYLL) using descriptive analysis. These subgroups were further divided into WHO (World Health Organization) regions, study time, CVD type, and sex to reduce the effect of heterogeneity between studies. Forty studies met the inclusion criteria for this review. Of these, 17 studies reported premature CVD mortality using YPLL, and the remaining 23 studies calculated SEYLL. The selected studies represent all WHO regions except for the Eastern Mediterranean. The overall median YPLL and SEYLL rates per 100,000 population were 594.2 and 1357.0, respectively. The YPLL rate and SEYLL rate demonstrated low levels in high-income countries, including Switzerland, Belgium, Spain, Slovenia, the USA, and South Korea, and a high rate in middle-income countries (including Brazil, India, South Africa, and Serbia). Over the past three decades (1990-2022), there has been a slight increase in the YPLL rate and the SEYLL rate for overall CVD and ischemic heart disease but a slight decrease in the SEYLL rate for cerebrovascular disease. The SEYLL rate for overall CVD demonstrated a notable increase in the Western Pacific region, while the European region has experienced a decline and the American region has nearly reached a plateau. In regard to sex, the male showed a higher median YPLL rate and median SEYLL rate than the female, where the rate in males substantially increased after three decades. Estimates from both the YPLL and SEYLL indicators indicate that premature CVD mortality continues to be a major burden for middle-income countries. The pattern of the YLL rate does not appear to have lessened over the past three decades, particularly for men. It is vitally necessary to develop and execute strategies and activities to lessen this mortality gap. PROSPERO CRD42021288415.

BackgroundContinuous surveillance of death can measure health status of the population, reflect social development of a region, thus promote health service development in the region and improve the health level of local residents. Liangshan Yi Autonomous Prefecture was a poverty-stricken region in Sichuan province, China. While at the end of 2020, as the announcement of its last seven former severely impoverished counties had shaken off poverty, Liangshan declared victory against poverty. Since it is well known that the mortality and cause of death structure will undergo some undesirable changes as the economy develops, this study aimed to reveal the distribution of deaths, as well as analyze the latest mortality and death causes distribution characteristics in Liangshan in 2020, so as to provide references for the decision-making on health policies and the distribution of health resources in global poverty-stricken areas.MethodsLiangshan carried out the investigation on underreporting deaths among population in its 11 counties in 2018, and combined with the partially available data from underreporting deaths investigation data in 2020 and the field experience, we have estimated the underreporting rates of death in 2020 using capture-recapture (CRC) method. The crude mortality rate, age-standardized mortality rate, proportion and rank of the death causes, potential years of life lost (PYLL), average years of life lost (AYLL), potential years of life lost rate (PYLLR), standardized potential years of life lost (SPYLL), premature mortality from non-communicable diseases (premature NCD mortality), life expectancy and cause-eliminated life expectancy were estimated and corrected.ResultsIn 2020, Liangshan reported a total of 16,850 deaths, with a crude mortality rate of 608.75/100,000 and an age-standardized mortality rate of 633.50/100,000. Male mortality was higher than female mortality, while 0-year-old mortality of men was lower than women’s. The former severely impoverished counties’ age-standardized mortality and 0-year-old mortality were higher than those of the non-impoverished counties. The main cause of death spectrum was noncommunicable diseases (NCDs), and the premature NCD mortality of four major NCDs were 14.26% for the overall population, 19.16% for men and 9.27% for women. In the overall population, the top five death causes were heart diseases (112.07/100,000), respiratory diseases (105.85/100,000), cerebrovascular diseases (87.03/100,000), malignant tumors (73.92/100,000) and injury (43.89/100,000). Injury (64,216.78 person years), malignant tumors (41,478.33 person years) and heart diseases (29,647.83 person years) had the greatest burden on residents in Liangshan, and at the same time, the burden of most death causes on men were greater than those on women. The life expectancy was 76.25 years for overall population, 72.92 years for men and 80.17 years for women, respectively, all higher than the global level (73.3, 70.8 and 75.9 years).ConclusionsTaking Liangshan in China as an example, this study analyzed the latest death situation in poverty-stricken areas, and proposed suggestions on the formulation of health policies in other poverty-stricken areas both at home and abroad.

Although years of potential life lost (YPLL) and mortality-related productivity costs comprise a substantial portion of the burden of cancers where human papillomavirus (HPV) may be a risk factor for carcinogenesis (called HPV-associated cancers in this report), estimates of these costs are limited. The authors estimated the mortality-related burden (in terms of YPLL and productivity costs) of HPV-associated cancers (without regard to the percentage of each of these cancers that could be attributed to HPV) and all malignant cancers in the United States in 2003. The authors used 2003 national mortality data and US life tables to estimate YPLL for HPV-associated cancers and all malignant cancers. YPLL was estimated by using the life expectancy method. The human capital approach was used to estimate the value of the expected future lifetime productivity losses caused by premature deaths from HPV-associated cancers and all malignant cancers. Indirect mortality costs were estimated as the product of the number of deaths and the expected value of individuals' future earnings, including an imputed value of housekeeping services. In 2003, HPV-associated cancers accounted for 181,026 YPLL, which represented 2.4% of the estimated 7.5 million YPLL attributable to all malignant cancers in the United States. The average number of YPLL was 21.8 per HPV-associated cancer death and 16.3 per death from overall malignant cancers. Overall, HPV-associated cancers had the largest relative contribution to YPLL in women ages 30 to 34 years. The lifetime productivity cost from mortality in 2003 was $3.7 billion for HPV-associated cancer mortality and $133.5 billion for overall malignant cancer mortality. HPV-associated cancers impose a considerable burden in terms of premature deaths and productivity losses.

To determine the impacts of statewide coronavirus disease 2019 (COVID-19)-related public health and social measures (PHSMs) and attempted pandemic mitigation measures on years of potential life lost (YPLL). The "openness score" of each state during the COVID-19 pandemic was obtained using two open-source sites, the Multistate openness score and the Wallethub openness score. These scores combined various PHSMs, such as restrictions on gatherings and closing various types of businesses. Using data from the Centers for Disease Control and Prevention (CDC) Wonder database, the differences in prepandemic (2017-2019) and pandemic excess mortality were calculated in terms of YPLL and then compared to the openness scores using univariate regression modeling. States that instituted more restrictive PHSMs as measured by openness scores failed to experience reductions in YPLL. On the contrary, there were trends toward statistical significance associating greater YPLL with the institution of more stringent PHSMs (p = 0.109 and p = 0.080 for Multistate and Wallethub, respectively). This study suggests restrictive PHSMs were ineffective for improving mortality in this pandemic and trended toward increasing mortality in the younger population, presumably from other, non-COVID-19 causes.

Impacto del consumo de tabaco sobre la mortalidad en España en el año 2012

Years of potential life lost amongst heroin users in the Australian Treatment Outcome Study cohort, 2001–2015

Introduction: Ukraine has made a commitment to reduce preventable deaths of newborns and children under 5 years of age, within the framework of the relevant task of the Sustainable Development Goals. For a purposeful and effective struggle, it is necessary to realize the scope and structure of losses. The aim: Identify differences in child mortality rates in Ukraine compared to other countries, to calculate and estimate the number of years of potential life lost (YPLL) due to infant mortality. Materials and methods: The information base of the study was official data of the State Statistics Service of Ukraine on the distribution of the deceased by age and causes of death in 2017 and World Health Statistics 2016 data. The method of potential demography was used to estimate demographic losses. Review: In Ukraine, in 2017 the absolute number of years of potential life lost (YPLL) was estimated to be almost 217,000 person-years due to under-five mortality, most of them - more than 179,000 person-years - due to infant mortality. The rest were losses due to mortality within the interval of 1-4 years - almost 40 thousand person-years. 55.6% of all potential life losses due to infant mortality determined Certain conditions occurring in the perinatal period, Congenital malformations, deformities and chromosomal anomalies - 23.4%. Conclusions: Ukraine has significant reserves for reducing under five mortality rates, primarily through minimization of preventable mortality.

Background: Taxation on unhealthy products is recommended as a cost-effective intervention to address the global burden of non-communicable diseases. Taxation of sugar-sweetened beverages dis-incentivize consumption of unhealthy products. Implementation of such policies is difficult in Sub-Saharan African countries, which are targets for global corporate expansion by the sugar-sweetened beverages industry. Objective: To identify opportunities to strengthen policies relating to sugar-sweetened beverage taxation in Zambia, through: (1) understanding the policy landscape and political context in which policies for nutrition-related non-communicable diseases are being developed, particularly sugar-sweetened beverage taxation, and exploring the potential use of revenue arising from sugar-sweetened beverage taxation to support improved nutrition. Methods: We conducted a retrospective qualitative policy analysis with a review of nutrition-related non-communicable diseases policies and key informant interviews (n = 10) with policy actors. Data were coded and analyzed data using pre-constructed matrices based on the Kingdon’s Policy Agenda Framework. Results: Government responses to nutrition-related non-communicable diseases were developed in an incoherent policy environment. The health sector’s commitment to regulate sugar-sweetened beverages conflicted with the manufacturing sector’s priorities for economic growth. Increased regulation of sugar-sweetened beverages was a priority for the health sector. Economic interests sought to grow the manufacturing sector, including the food and beverage industries. Consequently, incoherent policy objectives might have contributed to the adoption of a weakened excise tax. The general public were poorly informed about nutrition-related non-communicable diseases. Conclusions: The tension between the Government’s economic and public health priorities is a barrier for strengthening fiscal measures to address nutrition-related non-communicable diseases. However, this did not prevent the introduction of a differential sugar tax on sugar-sweetened beverages. Opportunities exist to strengthen the existing taxation of sugar-sweetened beverages in Zambia. These include a more inclusive consultation process for policy formulation and comprehensive monitoring of risk factors.