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归因于高体重指数的疾病负担:对《2021年全球疾病负担研究》数据的分析

Burden of disease attributable to high body mass index: an analysis of data from the Global Burden of Disease Study 2021.

作者信息

Zhou Xiao-Dong, Chen Qin-Fen, Yang Wah, Zuluaga Mauricio, Targher Giovanni, Byrne Christopher D, Valenti Luca, Luo Fei, Katsouras Christos S, Thaher Omar, Misra Anoop, Ataya Karim, Oviedo Rodolfo J, Pik-Shan Kong Alice, Alswat Khalid, Lonardo Amedeo, Wong Yu Jun, Abu-Abeid Adam, Al Momani Hazem, Ali Arshad, Molina Gabriel Alejandro, Szepietowski Olivia, Jumaev Nozim Adxamovich, Kızılkaya Mehmet Celal, Viveiros Octavio, Toro-Huamanchumo Carlos Jesus, Yen Kok Kenneth Yuh, Ospanov Oral, Abbas Syed Imran, Robertson Andrew Gerard, Fouad Yasser, Mantzoros Christos S, Zhang Huijie, Méndez-Sánchez Nahum, Sookoian Silvia, Chan Wah-Kheong, Treeprasertsuk Sombat, Adams Leon, Ocama Ponsiano, Ryan John D, Perera Nilanka, Sharara Ala I, Al-Busafi Said A, Opio Christopher Kenneth, Garcia Manuel, Lim-Loo Michelle Ching, Ruiz-Úcar Elena, Prasad Arun, Casajoana Anna, Abdelbaki Tamer N, Zheng Ming-Hua

机构信息

Department of Cardiovascular Medicine, the Heart Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Medical Care Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

出版信息

EClinicalMedicine. 2024 Sep 24;76:102848. doi: 10.1016/j.eclinm.2024.102848. eCollection 2024 Oct.

DOI:10.1016/j.eclinm.2024.102848
PMID:39386160
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11462227/
Abstract

BACKGROUND

Obesity represents a major global health challenge with important clinical implications. Despite its recognized importance, the global disease burden attributable to high body mass index (BMI) remains less well understood.

METHODS

We systematically analyzed global deaths and disability-adjusted life years (DALYs) attributable to high BMI using the methodology and analytical approaches of the Global Burden of Disease Study (GBD) 2021. High BMI was defined as a BMI over 25 kg/m for individuals aged ≥20 years. The Socio-Demographic Index (SDI) was used as a composite measure to assess the level of socio-economic development across different regions. Subgroup analyses considered age, sex, year, geographical location, and SDI.

FINDINGS

From 1990 to 2021, the global deaths and DALYs attributable to high BMI increased more than 2.5-fold for females and males. However, the age-standardized death rates remained stable for females and increased by 15.0% for males. Similarly, the age-standardized DALY rates increased by 21.7% for females and 31.2% for males. In 2021, the six leading causes of high BMI-attributable DALYs were diabetes mellitus, ischemic heart disease, hypertensive heart disease, chronic kidney disease, low back pain and stroke. From 1990 to 2021, low-middle SDI countries exhibited the highest annual percentage changes in age-standardized DALY rates, whereas high SDI countries showed the lowest.

INTERPRETATION

The worldwide health burden attributable to high BMI has grown significantly between 1990 and 2021. The increasing global rates of high BMI and the associated disease burden highlight the urgent need for regular surveillance and monitoring of BMI.

FUNDING

National Natural Science Foundation of China and National Key R&D Program of China.

摘要

背景

肥胖是一项重大的全球健康挑战,具有重要的临床意义。尽管其重要性已得到认可,但全球因高体重指数(BMI)导致的疾病负担仍未得到充分了解。

方法

我们使用《2021年全球疾病负担研究》(GBD 2021)的方法和分析方法,系统分析了因高BMI导致的全球死亡人数和伤残调整生命年(DALY)。高BMI被定义为年龄≥20岁的个体BMI超过25kg/m²。社会人口指数(SDI)被用作综合指标,以评估不同地区的社会经济发展水平。亚组分析考虑了年龄、性别、年份、地理位置和SDI。

研究结果

1990年至2021年期间,全球因高BMI导致的女性和男性死亡人数及DALY增加了2.5倍以上。然而,女性的年龄标准化死亡率保持稳定,男性则上升了15.0%。同样,女性的年龄标准化DALY率上升了21.7%,男性上升了31.2%。2021年,因高BMI导致的DALY的六大主要原因是糖尿病、缺血性心脏病、高血压性心脏病、慢性肾脏病、腰痛和中风。1990年至2021年期间,中低SDI国家的年龄标准化DALY率年度变化百分比最高,而高SDI国家最低。

解读

1990年至2021年期间,全球因高BMI导致的健康负担显著增加。全球高BMI率的上升以及相关疾病负担凸显了定期监测和监控BMI的迫切需求。

资金来源

中国国家自然科学基金和中国国家重点研发计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0366/11462227/ec149e0f32a1/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0366/11462227/22b37a2fd7ba/gr1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0366/11462227/5bd1321f1598/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0366/11462227/e7205463c80a/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0366/11462227/ec149e0f32a1/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0366/11462227/22b37a2fd7ba/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0366/11462227/f8bbbe68a44d/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0366/11462227/5bd1321f1598/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0366/11462227/e7205463c80a/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0366/11462227/ec149e0f32a1/gr5.jpg

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