Yang Nan, Di Jingkai, Wang Weihao, Feng Haoyu
Department of Orthopedics, The Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences Tongji Shanxi Hospital, Shanxi, China.
Department of Orthopedics, The Second Affiliated Hospital of Shanxi Medical University, Shanxi, China.
BMC Public Health. 2025 May 22;25(1):1886. doi: 10.1186/s12889-025-23178-1.
This study comprehensively assesses low back pain-related risk factors and the global burden from a multi-dimensional perspective, aiming to provide scientific evidence for disease prevention.
Data from the Global Burden of Disease (GBD) database spanning from 1990 to 2021 were incorporated into this study. We conducted an analysis of baseline data, as well as gender and age subgroup data. Additionally, we introduced the Age-Period-Cohort (APC) and decomposition analysis models to clarify the independent effects of factors such as age, period, cohort, population growth, population aging and changes in epidemiological trends on the disease burden. The Estimated Annual Percentage Change (EAPC) was used to measure the temporal trends of health indicators. To enhance practical applicability, we constructed a model that integrates frontier analysis with health inequality assessment. Furthermore, the Autoregressive Integrated Moving Average (ARIMA) model was employed to forecast trends in LBP over the next 15 years.
In 2021, the global age-standardized prevalence of low back pain decreased by 11.06% compared to that in 1990. However, the number of affected individuals increased from 386.7 million to 628.8 million. Concurrently, the age-standardized Disability-Adjusted Life Years (DALYs) rate declined by 11.22% relative to 1990, while total DALYs rose from 43,386,225 to 70,156,962. The results derived from multiple models indicate that higher socio-demographic index levels, advancing age, female sex and occupational ergonomics-related factors may contribute to disparities in the burden of low back pain. Furthermore, this unequal health gap appears to be widening over time.
Disease burden of low back pain exhibit varying manifestations across different regions and temporal dimensions. Higher levels of the Socio-Demographic Index(SDI), increasing age, female gender and adverse occupational ergonomic factors may be important risk elements for the burden of low back pain. Meanwhile, certain changes in epidemiological trends may alleviate this burden to some extent. In the absence of effective intervention measures, the gaps in health inequality engendered by the aforementioned diverse factors are likely to expand continuously. In light of this, it is crucial to actively develop systematic, comprehensive and targeted health prevention strategies.
本研究从多维度全面评估腰痛相关危险因素及全球负担,旨在为疾病预防提供科学依据。
纳入1990年至2021年全球疾病负担(GBD)数据库的数据进行本研究。我们对基线数据以及性别和年龄亚组数据进行了分析。此外,引入年龄-时期-队列(APC)和分解分析模型,以阐明年龄、时期、队列、人口增长、人口老龄化和流行病学趋势变化等因素对疾病负担的独立影响。使用估计年度百分比变化(EAPC)来衡量健康指标的时间趋势。为提高实际适用性,构建了一个将前沿分析与健康不平等评估相结合的模型。此外,采用自回归积分移动平均(ARIMA)模型预测未来15年腰痛的趋势。
2021年,全球腰痛年龄标准化患病率较1990年下降了11.06%。然而,受影响人数从3.867亿增加到6.288亿。同时,年龄标准化伤残调整生命年(DALYs)率相对于1990年下降了11.22%,而DALYs总数从43386225增加到70156962。多个模型得出的结果表明,较高的社会人口学指数水平、年龄增长、女性性别以及与职业人体工程学相关的因素可能导致腰痛负担的差异。此外,这种不平等的健康差距似乎随着时间的推移在扩大。
腰痛的疾病负担在不同地区和时间维度上表现各异。较高的社会人口学指数(SDI)水平、年龄增长、女性性别以及不良的职业人体工程学因素可能是腰痛负担的重要危险因素。同时,流行病学趋势的某些变化可能在一定程度上减轻这种负担。在缺乏有效干预措施的情况下,上述多种因素导致的健康不平等差距可能会持续扩大。鉴于此,积极制定系统、全面且有针对性的健康预防策略至关重要。