Department of Cardiology, Third Xiangya Hospital, Central South University, Changsha, China.
Laboratory for Industrial and Applied Mathematics, Centre for Disease Modelling, Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada.
PLoS Med. 2020 Jul 28;17(7):e1003198. doi: 10.1371/journal.pmed.1003198. eCollection 2020 Jul.
Obesity represents an urgent problem that needs to be properly addressed, especially among children. Public and global health policy- and decision-makers need timely, reliable quantitative information to develop effective interventions aimed at counteracting the burden generated by high body mass index (BMI). Few studies have assessed the high-BMI-related burden on a global scale.
Following the methodology framework and analytical strategies used in the Global Burden of Disease Study (GBD) 2017, the global deaths and disability-adjusted life years (DALYs) attributable to high BMI were analyzed by age, sex, year, and geographical location and by Socio-demographic Index (SDI). All causes of death and DALYs estimated in GBD 2017 were organized into 4 hierarchical levels: level 1 contained 3 broad cause groupings, level 2 included more specific categories within the level 1 groupings, level 3 comprised more detailed causes within the level 2 categories, and level 4 included sub-causes of some level 3 causes. From 1990 to 2017, the global deaths and DALYs attributable to high BMI have more than doubled for both females and males. However, during the study period, the age-standardized rate of high-BMI-related deaths remained stable for females and only increased by 14.5% for males, and the age-standardized rate of high-BMI-related DALYs only increased by 12.7% for females and 26.8% for males. In 2017, the 6 leading GBD level 3 causes of high-BMI-related DALYs were ischemic heart disease, stroke, diabetes mellitus, chronic kidney disease, hypertensive heart disease, and low back pain. For most GBD level 3 causes of high-BMI-related DALYs, high-income North America had the highest attributable proportions of age-standardized DALYs due to high BMI among the 21 GBD regions in both sexes, whereas the lowest attributable proportions were observed in high-income Asia Pacific for females and in eastern sub-Saharan Africa for males. The association between SDI and high-BMI-related DALYs suggested that the lowest age-standardized DALY rates were found in countries in the low-SDI quintile and high-SDI quintile in 2017, and from 1990 to 2017, the age-standardized DALY rates tended to increase in regions with the lowest SDI, but declined in regions with the highest SDI, with the exception of high-income North America. The study's main limitations included the use of information collected from some self-reported data, the employment of cutoff values that may not be adequate for all populations and groups at risk, and the use of a metric that cannot distinguish between lean and fat mass.
In this study, we observed that the number of global deaths and DALYs attributable to high BMI has substantially increased between 1990 and 2017. Successful population-wide initiatives targeting high BMI may mitigate the burden of a wide range of diseases. Given the large variations in high-BMI-related burden of disease by SDI, future strategies to prevent and reduce the burden should be developed and implemented based on country-specific development status.
肥胖是一个亟待解决的紧迫问题,尤其是在儿童中。公共和全球卫生政策制定者和决策者需要及时、可靠的定量信息,以制定有效的干预措施,应对高体重指数(BMI)带来的负担。很少有研究在全球范围内评估与高 BMI 相关的负担。
本研究采用 2017 年全球疾病负担研究(GBD)的方法框架和分析策略,按年龄、性别、年份和地理位置以及社会人口指数(SDI)分析了高 BMI 导致的全球死亡人数和伤残调整生命年(DALY)。GBD 2017 中估计的所有死因和 DALY 被组织成 4 个层次级别:第 1 级包含 3 个广泛的病因分组,第 2 级包含第 1 级分组内更具体的类别,第 3 级包含第 2 级类别内更详细的病因,第 4 级包含一些第 3 级病因的亚病因。从 1990 年到 2017 年,女性和男性的高 BMI 导致的全球死亡人数和 DALY 都增加了一倍以上。然而,在研究期间,女性高 BMI 相关死亡的年龄标准化率保持稳定,而男性仅增加了 14.5%,女性高 BMI 相关 DALY 的年龄标准化率仅增加了 12.7%,男性增加了 26.8%。2017 年,高 BMI 相关 DALY 的 6 个主要 GBD 第 3 级病因是缺血性心脏病、中风、糖尿病、慢性肾脏病、高血压性心脏病和下腰痛。对于大多数高 BMI 相关 DALY 的 GBD 第 3 级病因,在 21 个 GBD 地区的所有性别中,高收入北美的高 BMI 归因于 DALY 的比例最高,而在高收入亚太地区的女性和东撒哈拉以南非洲的男性中,归因于 DALY 的比例最低。SDI 与高 BMI 相关 DALY 的相关性表明,2017 年,SDI 最低五分位数和最高五分位数的国家 DALY 率最低,而从 1990 年到 2017 年,SDI 最低的地区 DALY 率呈上升趋势,但 SDI 最高的地区 DALY 率呈下降趋势,高收入北美的情况除外。该研究的主要局限性包括使用了一些自我报告数据收集的信息、使用了可能不适用于所有人群和风险群体的截断值,以及使用了一种不能区分瘦体重和脂肪量的指标。
本研究观察到,1990 年至 2017 年期间,高 BMI 导致的全球死亡人数和 DALY 大幅增加。针对高 BMI 的成功的全民举措可能会减轻多种疾病的负担。鉴于高 BMI 相关疾病负担的社会人口学指数差异很大,未来预防和减轻负担的策略应根据各国的具体发展状况制定和实施。