Global, regional and national trends in the burden of low bone mineral density from 1990 to 2030: A Bayesian age-period-cohort modeling study

人口学 代群效应 斯皮尔曼秩相关系数 队列 秩相关 趋势分析 队列研究 疾病负担 医学 统计 人口 数学 社会学
作者
Jiaying Li,Hongyu Jia,Zhenqiu Liu,Kelin Xu
出处
期刊:Bone [Elsevier BV]
卷期号:189: 117253-117253 被引量:16
标识
DOI:10.1016/j.bone.2024.117253
摘要

Low bone mineral density (LBMD) remains a global public health concern. To provide deeper insights, we retrieved and calibrated LBMD death and Disability-Adjusted Life Years (DALYs) data from the Global Burden of Disease 2021 (GBD 2021) database. We calculated the age-standardized rate (ASR) and estimated annual percentage change (EAPC) to delineate LBMD trends across sexes, age groups, Sociodemographic Index (SDI) regions, and countries. Spearman rank order correlation analysis was used to explore the relationship between SDI and ASR. Additionally, we constructed Bayesian age-period-cohort (BAPC) models to predict future trends in LBMD up to 2030, with the mean absolute percentage error (MAPE) used to evaluate prediction accuracy. Our analyses revealed that global deaths related to LBMD nearly doubled, from 250,930 in 1990 to 463,010 in 2021, and are projected to rise to 473,690 by 2030. However, the ASR exhibited an opposite trend, decreasing from 17.91 per 100,000 in 1990 to 15.77 per 100,000 in 2021, and is expected to further decline to 13.64 per 100,000 by 2030. The EAPC indicated descending trends in 1990-2021 and 2022-2030. Trends in LBMD varied across different subgroups by sex, age, and location. Males are projected to continue experiencing higher death numbers than females, though the gap is narrowing. The 90 to 94 age group consistently had the highest ASR from 1990 to 2030. Lower SDI remains a critical factor contributing to the higher burden of LBMD. Spearman rank order correlation analysis showed a negative correlation between SDI and ASR. We categorized 6 distinct trends in ASR across different countries, with most expected to experience a decline by 2030. The MAPE value (0.038 < 0.1) indicated that the BAPC model produced reliable predictions even under the COVID-19 pandemic.
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