Li Ying, Jin Donghui, Li Sidong, Wu Hao, Wang Jiangang, Yang Pingting, He Xue, Yin Lu
Health Management Medicine Center, Third Xiangya Hospital, Central South University, Changsha, PR China.
Hunan Provincial Center for Disease Control and Prevention, Changsha, PR China.
Am J Prev Cardiol. 2025 Mar 16;22:100963. doi: 10.1016/j.ajpc.2025.100963. eCollection 2025 Jun.
To evaluate the potential dose-response relationships of all-cause and cardiovascular death with the accumulation of various dietary habits.
A prospective cohort study.
Twenty-three dietary habits were assessed through face-to-face interviews with 57,737 participants in health check-up programs from 2015 to 2021. The total score of various dietary habits was calculated as the sum of each dietary habit multiplied by its own full-adjusted coefficient (β) for all-cause mortality in Cox proportional hazard models. Cox proportional hazard models were fitted for the associations of total and cause-specific mortality with the scores of various dietary habits.
1,692 deaths occurred after the earliest check-ups in our center, followed up for a median time of 2.14 years (range: 1.01-7.71 years). Total mortality was 11.23/1,000 person-years, and the mean scores of dietary habits were 2.83±2.14. All-cause mortality increased significantly with the cumulative score of dietary habits (the highest quartile vs. lowest quartile: adjusted hazard ratio [AHR], 1.72; 95 % confidence interval [CI], 1.49-1.99; <0.01). Significance was also found for cardiovascular disease (CVD) mortality (HR, 1.82; 95 % CI, 1.47-2.27; <0.01), cancer mortality (AHR, 1.59; 95 % CI, 1.23-2.04; <0.01), and other-cause mortality (AHR, 2.00; 95 % CI, 1.46-2.73; <0.01). These dose-response trends were more significant in total mortality and CVD mortality among middle-aged adults, and non-obese population.
The greater the accumulation of diverse dietary habits, the higher the total mortality, CVD mortality, cancer mortality, and other mortality. This additive effect was particularly pronounced in the risk of death among middle-aged individuals and those with average body statures.
评估全因死亡和心血管死亡与多种饮食习惯累积之间的潜在剂量反应关系。
一项前瞻性队列研究。
通过对2015年至2021年健康体检项目中的57737名参与者进行面对面访谈，评估了23种饮食习惯。在Cox比例风险模型中，将各种饮食习惯的总分计算为每种饮食习惯乘以其自身针对全因死亡率的完全调整系数（β）之和。对全因死亡率和特定病因死亡率与各种饮食习惯得分之间的关联进行Cox比例风险模型拟合。
在我们中心最早的检查之后发生了1692例死亡，中位随访时间为2.14年（范围：1.01 - 7.71年）。总死亡率为11.23/1000人年，饮食习惯的平均得分为2.83±2.14。全因死亡率随着饮食习惯累积得分显著增加（最高四分位数与最低四分位数相比：调整后风险比[AHR]，1.72；95%置信区间[CI]，1.49 - 1.99；P<0.01）。心血管疾病（CVD）死亡率（HR，1.82；95%CI，1.47 - 2.27；P<0.01）、癌症死亡率（AHR，1.59；95%CI，1.23 - 2.04；P<0.01）和其他病因死亡率（AHR，2.00；95%CI，1.46 - 2.73；P<0.01）也具有显著性。这些剂量反应趋势在中年成年人和非肥胖人群的总死亡率和CVD死亡率中更为显著。
多种饮食习惯的累积越多，总死亡率、CVD死亡率、癌症死亡率和其他死亡率越高。这种累加效应在中年人和中等身材个体的死亡风险中尤为明显。
