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      The Global Burden of Diseases attributed to high low-density lipoprotein cholesterol from 1990 to 2019

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          Abstract

          Background

          To demonstrate the real-word situation of burdens that are attributed to the risk factor of high low-density lipoprotein cholesterol (LDL-C) at the global, regional, national levels, among different age groups and between genders.

          Methods

          We analyzed data from the Global Burden of Disease study 2019 related to global deaths, disability-adjusted life years (DALYs), summary exposure value (SEV), average annual percentage change (AAPC), and observed to expected ratios (O/E ratios) attributable to high LDL-C from 1990 to 2019.

          Results

          Globally, in 2019, the total numbers of deaths and DALYs attributed to high LDL cholesterol were 1.47 and 1.41 times higher than that in 1990. The age-standardized deaths and DALYs rate was 1.45 and 1.70 times in males compared to females, while the age-standardized SEVs rate was 1.10 times in females compared to males. The deaths, DALYs, and SEV rates increased with age. In 2019, the highest age-standardized rates of both deaths and DALYs occurred in Eastern Europe while the lowest occurred in high-income Asia Pacific. High-income North America experienced a dramatic reduction of risk related to high LDL-C. Correlation analysis identified that the age-standardized SEV rate was positively correlated with Socio-demographic Index (SDI; r = 0.7753, P < 0.001). The average annual percentage change (AAPC) of age-standardized SEV rate decreased in the high SDI and high-middle SDI regions but increased in the middle SDI, low-middle SDI, and low SDI regions. High LDL-C mainly contributed to ischemic heart diseases.

          Conclusion

          High LDL-C contributed considerably to health burden worldwide. Males suffered worse health outcomes attributed to high LDL-C when compared to females. The burden attributed to high LDL-C increased with age. Lower SDI regions and countries experienced more health problem challenges attributed to high LDL-C as the result of social development and this should be reflected in policymaking.

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          Most cited references32

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          A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

          The Lancet, 380(9859), 2224-2260
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            Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019

            Cardiovascular diseases (CVDs), principally ischemic heart disease (IHD) and stroke, are the leading cause of global mortality and a major contributor to disability. This paper reviews the magnitude of total CVD burden, including 13 underlying causes of cardiovascular death and 9 related risk factors, using estimates from the Global Burden of Disease (GBD) Study 2019. GBD, an ongoing multinational collaboration to provide comparable and consistent estimates of population health over time, used all available population-level data sources on incidence, prevalence, case fatality, mortality, and health risks to produce estimates for 204 countries and territories from 1990 to 2019. Prevalent cases of total CVD nearly doubled from 271 million (95% uncertainty interval [UI]: 257 to 285 million) in 1990 to 523 million (95% UI: 497 to 550 million) in 2019, and the number of CVD deaths steadily increased from 12.1 million (95% UI:11.4 to 12.6 million) in 1990, reaching 18.6 million (95% UI: 17.1 to 19.7 million) in 2019. The global trends for disability-adjusted life years (DALYs) and years of life lost also increased significantly, and years lived with disability doubled from 17.7 million (95% UI: 12.9 to 22.5 million) to 34.4 million (95% UI:24.9 to 43.6 million) over that period. The total number of DALYs due to IHD has risen steadily since 1990, reaching 182 million (95% UI: 170 to 194 million) DALYs, 9.14 million (95% UI: 8.40 to 9.74 million) deaths in the year 2019, and 197 million (95% UI: 178 to 220 million) prevalent cases of IHD in 2019. The total number of DALYs due to stroke has risen steadily since 1990, reaching 143 million (95% UI: 133 to 153 million) DALYs, 6.55 million (95% UI: 6.00 to 7.02 million) deaths in the year 2019, and 101 million (95% UI: 93.2 to 111 million) prevalent cases of stroke in 2019. Cardiovascular diseases remain the leading cause of disease burden in the world. CVD burden continues its decades-long rise for almost all countries outside high-income countries, and alarmingly, the age-standardized rate of CVD has begun to rise in some locations where it was previously declining in high-income countries. There is an urgent need to focus on implementing existing cost-effective policies and interventions if the world is to meet the targets for Sustainable Development Goal 3 and achieve a 30% reduction in premature mortality due to noncommunicable diseases.
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              Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

              Summary Background Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk–outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk–outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk–outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. Findings The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51–12·1) deaths (19·2% [16·9–21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12–9·31) deaths (15·4% [14·6–16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253–350) DALYs (11·6% [10·3–13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0–9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10–24 years, alcohol use for those aged 25–49 years, and high systolic blood pressure for those aged 50–74 years and 75 years and older. Interpretation Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Funding Bill & Melinda Gates Foundation.
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                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                16 August 2022
                2022
                : 10
                : 891929
                Affiliations
                [1] 1Department of Medical Geriatrics, The Second Affiliated Hospital of Zhejiang University School of Medicine , Hangzhou, China
                [2] 2Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Zhejiang University School of Medicine , Hangzhou, China
                [3] 3Department of Medical Oncology, The Second Affiliated Hospital of Zhejiang University School of Medicine , Hangzhou, China
                [4] 4Department of Clinical Nutrition, The Second Affiliated Hospital of Zhejiang University School of Medicine , Hangzhou, China
                Author notes

                Edited by: Chen Suo, Fudan University, China

                Reviewed by: Sui Zhu, Jinan University, China; Abolfazl Avan, Mashhad University of Medical Sciences, Iran; Liyuan Han, University of Chinese Academy of Sciences, China

                *Correspondence: Tianlang Li 2194012@ 123456zju.edu.cn

                This article was submitted to Life-Course Epidemiology and Social Inequalities in Health, a section of the journal Frontiers in Public Health

                †These authors have contributed equally to this work and share first authorship

                ‡These authors have contributed equally to this work and share senior authorship

                Article
                10.3389/fpubh.2022.891929
                9424500
                36051998
                ff26570c-f3b7-48db-a8f5-5ef66b4e9f14
                Copyright © 2022 Zheng, Wang, Zhang, Xia, Guo, Hu, Shan and Li.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 12 March 2022
                : 08 June 2022
                Page count
                Figures: 9, Tables: 2, Equations: 0, References: 34, Pages: 16, Words: 7649
                Categories
                Public Health
                Original Research

                disability-adjusted life years,global burden of disease,cholesterol,low-density lipoproteins,cardiovascular disease

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