RESUMO
AIM: Our study aimed to survey the burden of disease attributed to metabolic risks (MRs) and secondary MR from 1990 to 2019. METHODS: Using methodological framework of the Global Burden of Disease Study 2019, we reported the global number, age-standardized rate and population attributable fraction of deaths and disability adjusted life years related to MRs and secondary MR. Furthermore, we analyzed the global burden caused by MRs and secondary MR in detail by gender, age, region, country, disease and Socio-demographic Index level. RESULTS: The number (million) of deaths and DALYs caused by MRs was 18.6 and 462.8 in 2019, with an increase of 43.6 % and 75.0 % since 1990. However, the ASR of deaths and DALYs attributed to MRs had a decrease of 23.3 % and 17.0 % since 1990. The burden caused by MRs and secondary MR raised with age, and the burden was the heaviest in low - and middle-income countries, especially in Middle East & North Africa. For diseases, the heaviest burden attributed to MRs was observed in ischemic heart disease, followed by stroke. CONCLUSION: The burden of disease attributed to MRs has continued to rise in the past 30 years, particularly for men and low-middle SDI regions. Therefore, the government should take corresponding actions to reduce the impact of MRs on population health.
Assuntos
Carga Global da Doença , Saúde Global , Masculino , Humanos , Anos de Vida Ajustados por Qualidade de Vida , África do Norte , Oriente Médio , Fatores de RiscoRESUMO
BACKGROUND: Smoke-free policies have led to a decline in smoking prevalence. Nevertheless, as the global population grows, more non-smokers are exposed to second-hand smoke (SHS) hazards. Mitigating SHS hazards requires a systematic analysis of the global disease burden attributable to SHS. METHODS: Data on SHS was extracted from the Global Burden of Disease Study 2019. First, we measured the disease burden of SHS by the number of cases and age-standardized rates of deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) from 1990 to 2019. Second, trends in the disease burden of SHS in different periods were estimated based on the annual percentage change (APC) by joinpoint regression analysis. Finally, using histogram plots, world maps, Pearson correlation analysis, and population attributable fraction (PAF), we conducted a stratified analysis of SHS exposure by sex, age, geographic location, sociodemographic index (SDI) level, and disease. RESULTS: The number of deaths caused by SHS remained stable between 1990 and 2019, and the number of YLDs more than doubled in three decades. In contrast, the number of DALYs and YLLs caused by SHS decreased. The declining trend in deaths (APCâ¯=â¯-1.42â¯% [95â¯% UI -1.79â¯%, -1.05â¯%]), DALYs (APCâ¯=â¯-1.91â¯% [95â¯% UI -2.15â¯%, -1.67â¯%]), and YLLs (APCâ¯=â¯-1.28â¯% [95â¯% UI -1.93â¯%, -0.64â¯%]) had slowed down in recent years, while SHS-related YLDs were still increasing (APCâ¯=â¯1.84â¯% [95â¯% UI 0.74â¯%, 2.96â¯%]). From 2010 to 2019, we found that SHS exposure increased the risk of tracheal, bronchus, and lung cancer (PAF increased by 11.75â¯%), breast cancer (PAF increased by 5.36â¯%), diabetes mellitus (PAF increased by 8.24â¯%), and ischemic heart disease (PAF increased by 4.46â¯%). In addition, the disease burden caused by SHS was highest in middle SDI and low-middle SDI countries. CONCLUSION: The global disease burden attributable to SHS is still severe, and policymakers need to implement more effective measures to reduce the harm of SHS.