Hui Liu
College of Medical Laboratory, Dalian Medical University, Dalian, 116044, China.
Heliyon. 2024 Jul 6;10(14):e34224. doi: 10.1016/j.heliyon.2024.e34224. eCollection 2024 Jul 30.
Various indicators exist to assess the threat of chronic diseases. This paper presents new ones to evaluate the role of aging and non-aging factors for predicting threats from major chronic diseases. Age at zero mortality (AM0) and age at average mortality (AMa) can be calculated by regressing age and mortality (the intercept indicates AM0, the slope indicates the observed slope and r indicates random non-aging factors). A regression equation can be created using AMa at the age of 72 and mortality at the age of 82; thus, the expected slope can be obtained for the aging factor without considering non-aging factors. It is possible to distinguish between aging and non-aging factors using the observed and expected slopes, which should be multiplied by r to produce an index of aging (IA). The lower the AM0, AMa or IA of a disease is, the greater the threat it poses to a population. The AM0 and IA were calculated using data from China (2004 and 2019) for various diseases [cancer, heart disease (HD), cerebrovascular disease (CVD), and chronic obstructive pulmonary disease (COPD)]. We found the severity of threat was highest for cancer, CVD, other chronic diseases, HD and COPD in descending order in 2019. The results suggest that changes in threats may be related to socioeconomic development. Cancer was found to be the greatest threat to younger age groups, with IA<0.5, suggesting that non-aging risk factors may play an important role in cancers. Conversely, aging may play an important role in other chronic diseases, including HD, CVD, and COPD. Compared to 2004, the AM0 of cancer showed the greatest change. In conclusions, the different indicators explain different aspects of the problem and it would be beneficial to conduct in-depth research on the theoretical basis for the association of threats of disease with socioeconomic development in order to develop prevention and control strategies.
存在多种指标来评估慢性病的威胁。本文提出了新的指标,以评估衰老和非衰老因素在预测主要慢性病威胁方面的作用。零死亡率年龄(AM0)和平均死亡率年龄(AMa)可以通过对年龄和死亡率进行回归计算得出(截距表示AM0,斜率表示观察到的斜率,r表示随机非衰老因素)。可以使用72岁时的AMa和82岁时的死亡率创建回归方程;因此,在不考虑非衰老因素的情况下,可以获得衰老因素的预期斜率。利用观察到的斜率和预期斜率可以区分衰老和非衰老因素,应将它们乘以r以产生衰老指数(IA)。一种疾病的AM0、AMa或IA越低,其对人群构成的威胁就越大。使用中国(2004年和2019年)各种疾病[癌症、心脏病(HD)、脑血管疾病(CVD)和慢性阻塞性肺疾病(COPD)]的数据计算了AM0和IA。我们发现,2019年威胁的严重程度从高到低依次为癌症、CVD、其他慢性病、HD和COPD。结果表明,威胁的变化可能与社会经济发展有关。发现癌症对较年轻年龄组的威胁最大,IA<0.5,这表明非衰老风险因素可能在癌症中起重要作用。相反,衰老可能在包括HD、CVD和COPD在内的其他慢性病中起重要作用。与2004年相比,癌症的AM0变化最大。总之,不同的指标解释了问题的不同方面,深入研究疾病威胁与社会经济发展关联的理论基础,以便制定预防和控制策略将是有益的。