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中年至老年可改变风险因素模式与长寿之间的关联:36年前瞻性队列研究

Associations between patterns of modifiable risk factors in mid-life to late life and longevity: 36 year prospective cohort study.

作者信息

Ding Ming, Fitzmaurice Garrett M, Arvizu Mariel, Willett Walter C, Manson JoAnn E, Rexrode Kathryn M, Hu Frank B, Chavarro Jorge E

机构信息

Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA.

Department of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

出版信息

BMJ Med. 2022 Sep 26;1(1):e000098. doi: 10.1136/bmjmed-2021-000098. eCollection 2022.

Abstract

OBJECTIVE

To examine the associations between patterns of mid-life to late life modifiable risk factors and longevity.

DESIGN

Prospective cohort study.

SETTING

Data collected from the Nurses' Health Study starting in 1984 and the Health Professionals Follow-up Study starting in 1986.

PARTICIPANTS

85 346 participants from the Nurses' Health Study and the Health Professionals Follow-up Study.

MAIN OUTCOME MEASURES

Death from any cause by 31 October 2020 for the Nurses' Health Study and Health Professionals Follow-up Study. Risk factors investigated were body mass index, physical activity, alcohol intake, smoking status, and quality of diet. Trajectories of each risk factor and trajectories of changes in the risk factor were identified from baseline with smoothing mixture models, and the joint group memberships of participants was used to most efficiently capture patterns of the factor over time. For each risk factor, three trajectories (patterns with high, medium, and low values) and three trajectories of change in the risk factor (patterns with increase, no change, and decrease in the factor from baseline) were assumed, giving nine joint patterns: high-stable, high-increase, high-decrease, medium-stable, medium-increase, medium-decrease, low-stable, low-increase, and low-decrease. Associations between patterns of modifiable risk factors and longevity (age at death ≥85 years) and life expectancy were examined with logistic regression and accelerated failure time models, respectively.

RESULTS

The analysis included 85 346 participants, with 46 042 participants achieving longevity and 25 322 participants achieving healthy longevity (those who did not have a diagnosis of cardiovascular disease, type 2 diabetes, or cancer). Mean age at baseline was 56 years (standard deviation 5 years). Maximum longevity was achieved in participants with a low-stable pattern for body mass index (compared with a medium-stable pattern, odds ratio of longevity of 1.05, 95% confidence interval 1.00 to 1.10); those with a medium-increase pattern for physical activity (compared with a medium-stable pattern, odds ratio 1.08, 1.01 to 1.15); those with a medium-stable pattern for alcohol intake (high-increase medium-stable pattern, odds ratio 0.83, 0.74 to 0.93); those who never smoked (low-stable medium-stable pattern, odds ratio 3.09, 2.84 to 3.37); and those who with a high-increase pattern for quality of diet (compared with a medium-stable pattern, odds ratio 1.09, 1.01 to 1.18). The associations between each factor and life expectancy and healthy longevity (no diagnosis of cardiovascular disease, type 2 diabetes, or cancer) were similar to those for longevity.

CONCLUSIONS

During mid-life and late life, maximum longevity was achieved in participants who maintained a normal body mass index, never smoked, ate a healthy diet, and had physical activity levels and alcohol consumption that met public health recommendations.

摘要

目的

研究中年至老年可改变风险因素模式与长寿之间的关联。

设计

前瞻性队列研究。

背景

数据收集自1984年开始的护士健康研究以及1986年开始的卫生专业人员随访研究。

参与者

来自护士健康研究和卫生专业人员随访研究的85346名参与者。

主要结局指标

护士健康研究和卫生专业人员随访研究中截至2020年10月31日的任何原因导致的死亡。所调查的风险因素包括体重指数、身体活动、酒精摄入量、吸烟状况和饮食质量。使用平滑混合模型从基线确定每个风险因素的轨迹以及风险因素变化的轨迹,并利用参与者的联合组归属来最有效地捕捉该因素随时间的模式。对于每个风险因素,假设三种轨迹(高、中、低值模式)和三种风险因素变化轨迹(从基线起该因素增加、无变化和减少的模式),得出九种联合模式:高稳定、高增加、高减少、中稳定、中增加、中减少、低稳定、低增加和低减少。分别使用逻辑回归和加速失效时间模型研究可改变风险因素模式与长寿(死亡年龄≥85岁)和预期寿命之间的关联。

结果

分析纳入85346名参与者,其中46042名参与者实现长寿,25322名参与者实现健康长寿(未被诊断患有心血管疾病、2型糖尿病或癌症)。基线时的平均年龄为56岁(标准差5岁)。体重指数呈低稳定模式的参与者实现了最长寿命(与中稳定模式相比,长寿的优势比为1.05,95%置信区间为1.00至1.10);身体活动呈中增加模式的参与者(与中稳定模式相比,优势比为1.08,1.01至1.15);酒精摄入量呈中稳定模式的参与者(高增加模式与中稳定模式相比,优势比为0.83,0.74至0.93);从不吸烟的参与者(低稳定模式与中稳定模式相比,优势比为3.09,2.84至3.37);饮食质量呈高增加模式的参与者(与中稳定模式相比,优势比为1.09,1.01至1.18)。每个因素与预期寿命和健康长寿(未被诊断患有心血管疾病、2型糖尿病或癌症)之间的关联与长寿的关联相似。

结论

在中年和老年期间,保持正常体重指数、从不吸烟、饮食健康且身体活动水平和酒精消费量符合公共卫生建议的参与者实现了最长寿命。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5fe/9978682/a51eae79daf7/bmjmed-2021-000098f01.jpg

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