Ohio State University, Columbus, OH.
Ohio State University, Columbus, OH.
Ann Epidemiol. 2021 Apr;56:18-25. doi: 10.1016/j.annepidem.2021.01.003. Epub 2021 Jan 22.
To identify life-long body mass index (BMI) trajectories across two related generations and estimate their associated mortality risks and population attributable deaths.
We use prospective cohort data from the Framingham Heart Study (1948-2011) original (4576 individuals, 3913 deaths) and offspring (3753 individuals, 967 deaths) cohorts and latent trajectory models to model BMI trajectories from age 31 to 80 years. Survival models are used to estimate trajectory-specific mortality risk.
We define seven BMI trajectories among original cohort and six among offspring cohort. Among original cohort, people who are normal weight at age 31 years and gradually move to overweight status in middle or later adulthood have the lowest mortality risk even compared to those who maintain normal weight throughout adulthood, followed by overweight stable, lower level of normal weight, overweight downward, class I obese upward, and class II/III upward trajectories. Mortality risks associated with obesity trajectories have declined across cohorts, while the prevalence of high-risk trajectories has increased.
The mortality impact of weight gain depends on an individual's BMI trajectory. Population attributable deaths associated with unhealthy weight trajectories have grown over generations because the prevalence has increased, offsetting the decline in trajectory-specific mortality risks.
确定两代相关人群中终生体重指数(BMI)轨迹,并估计其相关死亡率和人群归因死亡。
我们使用弗雷明汉心脏研究(1948-2011 年)的前瞻性队列数据,包括原始队列(4576 人,3913 人死亡)和后代队列(3753 人,967 人死亡),并使用潜在轨迹模型来模拟 31 岁至 80 岁的 BMI 轨迹。生存模型用于估计轨迹特异性死亡率风险。
我们在原始队列中定义了七种 BMI 轨迹,在后代队列中定义了六种。在原始队列中,31 岁时体重正常,随后在中年或晚年逐渐发展为超重状态的人群死亡率风险最低,甚至低于整个成年期保持正常体重的人群,其次是超重稳定、较低水平的正常体重、超重下降、I 级肥胖上升和 II/III 级肥胖上升轨迹。各队列间肥胖轨迹相关的死亡率风险有所下降,而高风险轨迹的患病率却有所增加。
体重增加的死亡率影响取决于个体的 BMI 轨迹。与不健康体重轨迹相关的人群归因死亡在几代人中有所增加,因为患病率增加,抵消了轨迹特异性死亡率风险的下降。