Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Department of Immunology and Microbiology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Nutrients. 2024 Oct 10;16(20):3434. doi: 10.3390/nu16203434.
Iron deficiency (ID) remains the leading cause of anemia, affects a vast number of persons globally, and continues to be a significant global health burden. Comprehending the patterns of ID burden is essential for developing targeted public health policies.
Using data from the Global Burden of Disease (GBD) 2021 study for the years 1990-2021, the XGBoost model was constructed to predict prevalence and disability-adjusted life years (DALYs) for the period 2022-2050, based on key demographic variables. Shapley Additive exPlanations (SHAP) values were applied to interpret the contributions of each variable to the model's predictions. Additionally, the Age-Period-Cohort (APC) model was used to evaluate the effects of age, period, and birth cohort on both prevalence and DALYs. The relationship between the Socio-Demographic Index (SDI) and ID's age-standardized prevalence rate (ASPR) as well as the age-standardized DALYs rate (ASDR) was also analyzed to assess the influence of socioeconomic development on disease burden.
The global prevalent cases of ID grew from 984.61 million in 1990 to 1270.64 million in 2021 and are projected to reach 1439.99 million by 2050. Similarly, global DALYs from ID increased from 28.41 million in 1990 to 32.32 million in 2021, with a projected rise to 36.13 million by 2050. The ASPR declined from 18,204/100,000 in 1990 to 16,433/100,000 in 2021, with an estimated annual percentage change (EAPC) of -0.36% over this period. It is expected to decrease further to 15,922 by 2050, with an EAPC of -0.09% between 2021 and 2050. The ASDR was 518/100,000 in 1990 and 424/100,000 in 2021, with an EAPC of -0.68% from 1990 to 2021. It is expected to remain relatively stable at 419/100,000 by 2050, with an EAPC of -0.02% between 2021 and 2050. In 2021, the highest ASPRs were recorded in Senegal (34,421/100,000), Mali (34,233/100,000), and Pakistan (33,942/100,000). By 2050, Mali (35,070/100,000), Senegal (34,132/100,000), and Zambia (33,149/100,000) are projected to lead. For ASDR, Yemen (1405/100,000), Mozambique (1149/100,000), and Mali (1093/100,000) had the highest rates in 2021. By 2050, Yemen (1388/100,000), Mali (1181/100,000), and Mozambique (1177/100,000) are expected to remain the highest. SHAP values demonstrated that gender was the leading predictor of ID, with age and year showing negative contributions. Females aged 10 to 60 consistently showed higher prevalence and DALYs rates compared to males, with the under-5 age group having the highest rates for both. Additionally, men aged 80 and above exhibited a rapid increase in prevalence. Furthermore, the ASPR and ASDR were significantly higher in regions with a lower SDI, highlighting the greater burden of ID in less developed regions.
ID remains a significant global health concern, with its burden projected to persist through 2050, particularly in lower-SDI regions. Despite declines in ASPR and ASDR, total cases and DALYs are expected to rise. SHAP analysis revealed that gender had the greatest influence on the model's predictions, while both age and year showed overall negative contributions to ID risk. Children under 5, women under 60, and elderly men aged 80+ were the most vulnerable groups. These findings underscore the need for targeted interventions, such as improved nutrition, early screening, and addressing socioeconomic drivers through iron supplementation programs in low-SDI regions.
缺铁仍然是贫血的主要原因,影响全球大量人群,且仍是一个重大的全球健康负担。了解缺铁负担的模式对于制定有针对性的公共卫生政策至关重要。
利用 2021 年全球疾病负担(GBD)研究 1990-2021 年的数据,采用 XGBoost 模型对 2022-2050 年期间的患病率和伤残调整生命年(DALYs)进行预测,预测基于关键人口变量。应用 Shapley Additive exPlanations(SHAP)值来解释每个变量对模型预测的贡献。此外,采用年龄-时期-队列(APC)模型评估年龄、时期和出生队列对患病率和 DALYs 的影响。还分析了社会发展指数(SDI)与缺铁年龄标准化患病率(ASPR)和年龄标准化 DALYs 率(ASDR)之间的关系,以评估社会经济发展对疾病负担的影响。
全球缺铁患病率从 1990 年的 9846.11 万例增加到 2021 年的 12706.43 万例,预计到 2050 年将达到 14399.99 万例。同样,全球缺铁 DALYs 从 1990 年的 2841 万例增加到 2021 年的 3232 万例,预计到 2050 年将增加到 3613.23 万例。ASPR 从 1990 年的 18204/100000 下降到 2021 年的 16433/100000,期间年变化百分比(EAPC)为-0.36%。预计到 2050 年将进一步下降至 15922,2021 年至 2050 年期间 EAPC 为-0.09%。ASDR 在 1990 年为 518/100000,在 2021 年为 424/100000,1990 年至 2021 年期间 EAPC 为-0.68%。预计到 2050 年将保持相对稳定,为 419/100000,2021 年至 2050 年期间 EAPC 为-0.02%。2021 年,ASP 最高的国家为塞内加尔(34421/100000)、马里(34233/100000)和巴基斯坦(33942/100000)。到 2050 年,马里(35070/100000)、塞内加尔(34132/100000)和赞比亚(33149/100000)预计将位居前列。对于 ASDR,2021 年也门(1405/100000)、莫桑比克(1149/100000)和马里(1093/100000)的患病率最高。到 2050 年,也门(1388/100000)、马里(1181/100000)和莫桑比克(1177/100000)预计仍将是患病率最高的国家。SHAP 值表明,性别是缺铁的主要预测因素,年龄和年份呈负贡献。10 岁至 60 岁的女性始终表现出比男性更高的患病率和 DALYs 率,5 岁以下年龄组的患病率和 DALYs 率最高。此外,80 岁以上的男性患病率迅速上升。此外,SDI 较低的地区 ASPR 和 ASDR 显著较高,表明缺铁在欠发达地区的负担更重。
缺铁仍然是一个重大的全球健康问题,预计其负担将持续到 2050 年,特别是在 SDI 较低的地区。尽管 ASPR 和 ASDR 有所下降,但总病例数和 DALYs 预计将上升。SHAP 分析表明,性别对模型的预测影响最大,而年龄和年份对 ID 风险的总体贡献为负。5 岁以下儿童、60 岁以下女性和 80 岁以上的老年男性是最脆弱的群体。这些发现强调了在低 SDI 地区需要采取有针对性的干预措施,例如改善营养、早期筛查以及通过铁补充计划解决社会经济驱动因素。