Bae Chul-Young, Kim In-Hee, Kim Bo-Seon, Kim Jeong-Hoon, Kim Ji-Hyun
Mediage Research Center, No.634-636, 42, Changeop-ro (Gyeonggi Business Growth Center), Sujeong-gu, Seongnam-si, Gyeonggi-do 13449, Republic of Korea.
Mediage Research Center, No.634-636, 42, Changeop-ro (Gyeonggi Business Growth Center), Sujeong-gu, Seongnam-si, Gyeonggi-do 13449, Republic of Korea.
Arch Gerontol Geriatr. 2022 Nov-Dec;103:104788. doi: 10.1016/j.archger.2022.104788. Epub 2022 Aug 8.
As the population ages rapidly, the incidence of age-related diseases (ARDs) is also increasing fast. Predicting the incidence of ARDs is a challenge since the rates of individual aging vary, and objective assessments of the stages of aging based on chronological age (CA) may be inaccurate. Thus, in this study, we developed a biological age (BA) model based on the National Health Examination (NHE) data and analyzed the model prediction results for the incidence of 16 ARDs.
This study was based on the 2002-2019 National Health Information Databases of the National Health Insurance Service (NHIS-NHID). The data from a total of 10,002,494 subjects were selected between 2009 and 2010, and the principal component analysis (PCA) was performed to develop the BA model. The Cox-proportional hazard model was used to perform predictive analysis of the ARD incidence.
For the unit increase in the difference between corrected biological age (cBA) and chronological age (CA), the hazard ratios (HRs) of ARDs increased significantly for both sexes (p < 0.001). In descending order, the corresponding ARDs' HRs were obesity (1.655), chronic renal failure (1.362), hypertension (1.301), hyperlipidemia (1.264), diabetes mellitus (1.261), fracture (1.119), dementia (1.163), cataract (1.116), myocardial infarction (1.097), stroke (1.169), macular degeneration (1.075), osteoarthritis (1.059), osteoporosis (1.124), Parkinson's disease (1.048), and chronic obstructive pulmonary disease (1.026).
In this study, the incidence of 16 ARDs were analyzed based on BA. Therefore, conducting the NHIS health examination can facilitate the prevention of ARDs by estimating HRs for at least 16 diseases.
随着人口迅速老龄化，与年龄相关疾病（ARDs）的发病率也在快速上升。预测ARDs的发病率是一项挑战，因为个体衰老速度各不相同，基于实足年龄（CA）对衰老阶段进行客观评估可能并不准确。因此，在本研究中，我们基于国民健康检查（NHE）数据开发了一种生物学年龄（BA）模型，并分析了该模型对16种ARDs发病率的预测结果。
本研究基于韩国国民健康保险服务（NHIS-NHID）2002 - 2019年的国民健康信息数据库。在2009年至2010年期间共选取了10,002,494名受试者的数据，并进行主成分分析（PCA）以开发BA模型。采用Cox比例风险模型对ARDs发病率进行预测分析。
校正生物学年龄（cBA）与实足年龄（CA）之差每增加一个单位，男女ARDs的风险比（HRs）均显著增加（p < 0.001）。按降序排列，相应ARDs的HRs分别为肥胖（1.655）、慢性肾衰竭（1.362）、高血压（1.301）、高脂血症（1.264）、糖尿病（1.261）、骨折（1.119）、痴呆（1.163）、白内障（1.116）、心肌梗死（1.097）、中风（1.169）、黄斑变性（1.075）、骨关节炎（1.059）、骨质疏松症（1.124）、帕金森病（1.048）和慢性阻塞性肺疾病（1.026）。
在本研究中，基于BA分析了16种ARDs的发病率。因此，进行NHIS健康检查可通过估计至少16种疾病的HRs来促进ARDs的预防。
