Huang Yingxuan, Zhou Apei, Huang Yisen, Wang Yubin, Liu Xiaobo, Liu Xiaoqiang
Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Front Public Health. 2024 Dec 9;12:1505066. doi: 10.3389/fpubh.2024.1505066. eCollection 2024.
This study investigates the association between phenotypic age acceleration (PAA) and all-cause and cause-specific mortality in obese individuals.
Data were drawn from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018, including 9,925 obese adults (BMI ≥ 30 kg/m). PAA, defined as phenotypic age exceeding chronological age, was assessed using clinical biomarkers. Kaplan-Meier survival analysis and Cox proportional hazards models were used to assess the relationship between PAA and all-cause, cardiovascular, and cancer mortality, adjusting for covariates such as age, gender, race, lifestyle, and health status. Subgroup and sensitivity analyses were performed to ensure the robustness of the findings.
During a median follow-up of 10.6 years, 1,537 deaths were recorded, including 419 from cardiovascular disease and 357 from cancer. PAA was significantly associated with all-cause mortality (HR = 1.84, 95% CI: 1.64-2.06), cardiovascular mortality (HR = 1.86, 95% CI: 1.50-2.31), and cancer mortality (HR = 1.47, 95% CI: 1.17-1.85). These associations remained significant after adjusting for multiple variables, and sensitivity analyses confirmed the robustness of the results.
PAA is an independent predictor of all-cause, cardiovascular, and cancer mortality in obese individuals. This study highlights the importance of PAA in mortality risk assessment and health management in the obese population.
本研究调查肥胖个体的表型年龄加速（PAA）与全因死亡率及特定病因死亡率之间的关联。
数据取自1999年至2018年的美国国家健康与营养检查调查（NHANES），包括9925名肥胖成年人（体重指数≥30kg/m）。使用临床生物标志物评估PAA（定义为表型年龄超过实足年龄）。采用Kaplan-Meier生存分析和Cox比例风险模型评估PAA与全因、心血管和癌症死亡率之间的关系，并对年龄、性别、种族、生活方式和健康状况等协变量进行调整。进行亚组分析和敏感性分析以确保研究结果的稳健性。
在中位随访10.6年期间，记录了1537例死亡，其中419例死于心血管疾病，357例死于癌症。PAA与全因死亡率（风险比[HR]=1.84，95%置信区间[CI]：1.64-2.06）、心血管死亡率（HR=1.86，95%CI：1.50-2.31）和癌症死亡率（HR=1.47，95%CI：1.17-1.85）显著相关。在对多个变量进行调整后，这些关联仍然显著，敏感性分析证实了结果的稳健性。
PAA是肥胖个体全因、心血管和癌症死亡率的独立预测因素。本研究强调了PAA在肥胖人群死亡率风险评估和健康管理中的重要性。
