Burden of Breast Cancer Attributable to a Diet High in Red Meat at Global, Regional, and National Levels: An Analysis of the Global Burden of Disease Study 2021.

IF 1 4区 医学 Q3 MEDICINE, GENERAL & INTERNAL
Fang Zhou, Jincheng Tang, Renyi Yang, Puhua Zeng, Jianxiong Cao
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引用次数: 0

Abstract

Background: Dietary factors are a key risk for breast cancer. This study examines the global burden of breast cancer attributed to a high red meat diet from 1990 to 2021.

Methods: Using Global Burden of Disease Study (GBD) 2021 data, deaths and disability-adjusted life-years (DALYs) were analyzed globally, regionally, and nationally. Trends were assessed through estimated annual percentage changes (EAPCs) in age-standardized mortality (ASMR) and DALY (ASDR) rates. A decomposition analysis quantified the contributions of population growth, aging, and epidemiological changes. The relationship between sociodemographic index (SDI) and burden was examined using Spearman rank test. Health inequalities were assessed using the Slope Index of Inequality for absolute inequality and the Concentration Index for relative inequality.

Results: By 2021, breast cancer deaths and DALYs linked to high red meat intake had increased significantly compared to 1990, despite a decline in ASMR [EAPC: -0.77 (95% CI -0.82 to -0.72)] and ASDR [EAPC: -0.65 (95% CI -0.70 to -0.60)]. These trends were driven by population growth and aging, with regional variability in the pace of demographic transitions. North Africa and the Middle East experienced the largest rise in ASMR [EAPC: 2.03 (95% CI 1.79 to 2.26)], while Pacific Island nations had the highest ASMR and ASDR. High-SDI regions had the highest ASMR [1.14 per 100000 (95% UI -0.01‒2.43)] and ASDR [33.07 per 100000 (95% UI -0.02‒69.90)], with a positive SDI-burden correlation in low- and middle-SDI regions (P<0.05), but a negative correlation in high-SDI regions (P<0.05). From 1990 to 2021, absolute inequality [35.79 (95% CI 29.13‒42.46) vs. 4.99 (95% CI -1.59-11.56)] and relative inequality [0.18 (95% CI 0.16‒0.21) vs. 0.02 (95% CI -0.01‒0.05)] decreased.

Conclusion: Although ASMR and ASDR have declined, the absolute burden of breast cancer due to high red meat intake remains significant, particularly in aging and rapidly urbanizing populations. Policy interventions should include taxation on red meat, restrictions on processed meat, and public health campaigns promoting dietary modifications. Targeted screening programs in high-risk regions, especially for middle-aged and elderly populations, are critical for mitigating the future disease burden.

在全球、地区和国家层面上,高红肉饮食导致的乳腺癌负担:2021年全球疾病负担研究分析
背景:饮食因素是乳腺癌的关键风险因素。这项研究调查了1990年至2021年期间高红肉饮食导致的全球乳腺癌负担。方法:使用全球疾病负担研究(GBD) 2021数据,对全球、地区和国家的死亡和残疾调整生命年(DALYs)进行分析。通过估计年龄标准化死亡率(ASMR)和DALY (ASDR)率的年百分比变化(EAPCs)来评估趋势。分解分析量化了人口增长、老龄化和流行病学变化的贡献。采用Spearman秩检验检验社会人口学指数(SDI)与负担的关系。使用绝对不平等的不平等斜率指数和相对不平等的浓度指数来评估健康不平等。结果:到2021年,尽管ASMR [EAPC: -0.77 (95% CI: -0.82至-0.72)]和ASDR [EAPC: -0.65 (95% CI: -0.70至-0.60)]下降,但与1990年相比,与高红肉摄入相关的乳腺癌死亡率和DALYs显著增加。这些趋势是由人口增长和老龄化推动的,人口转型的速度存在区域差异。北非和中东经历了最大的ASMR上升[EAPC: 2.03 (95% CI 1.79至2.26)],而太平洋岛国的ASMR和ASDR最高。高sdi地区的ASMR [1.14 / 100000 (95% UI -0.01 - 2.43)]和ASDR [33.07 / 100000 (95% UI -0.02 - 69.90)]最高,低sdi和中等sdi地区的sdi -负担呈正相关(pp结论:尽管ASMR和ASDR已经下降,但高红肉摄入导致的乳腺癌绝对负担仍然显著,特别是在老龄化和快速城市化的人群中。政策干预应包括对红肉征税,限制加工肉类,以及促进饮食调整的公共卫生运动。在高风险地区,特别是针对中老年人群的有针对性的筛查计划,对于减轻未来的疾病负担至关重要。
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来源期刊
Archives of Iranian Medicine
Archives of Iranian Medicine 医学-医学:内科
CiteScore
4.20
自引率
0.00%
发文量
67
审稿时长
3-8 weeks
期刊介绍: Aim and Scope: The Archives of Iranian Medicine (AIM) is a monthly peer-reviewed multidisciplinary medical publication. The journal welcomes contributions particularly relevant to the Middle-East region and publishes biomedical experiences and clinical investigations on prevalent diseases in the region as well as analyses of factors that may modulate the incidence, course, and management of diseases and pertinent medical problems. Manuscripts with didactic orientation and subjects exclusively of local interest will not be considered for publication.The 2016 Impact Factor of "Archives of Iranian Medicine" is 1.20.
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