Suppr超能文献

肉类摄入量与死亡率:对五十多万人的前瞻性研究。

Meat intake and mortality: a prospective study of over half a million people.

作者信息

Sinha Rashmi, Cross Amanda J, Graubard Barry I, Leitzmann Michael F, Schatzkin Arthur

机构信息

Division of Cancer Epidemiology and Genetics, National Cancer Institute-Nutritional Epidemiology Branch, Rockville, MD 20852, USA.

出版信息

Arch Intern Med. 2009 Mar 23;169(6):562-71. doi: 10.1001/archinternmed.2009.6.

Abstract

BACKGROUND

High intakes of red or processed meat may increase the risk of mortality. Our objective was to determine the relations of red, white, and processed meat intakes to risk for total and cause-specific mortality.

METHODS

The study population included the National Institutes of Health-AARP (formerly known as the American Association of Retired Persons) Diet and Health Study cohort of half a million people aged 50 to 71 years at baseline. Meat intake was estimated from a food frequency questionnaire administered at baseline. Cox proportional hazards regression models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) within quintiles of meat intake. The covariates included in the models were age, education, marital status, family history of cancer (yes/no) (cancer mortality only), race, body mass index, 31-level smoking history, physical activity, energy intake, alcohol intake, vitamin supplement use, fruit consumption, vegetable consumption, and menopausal hormone therapy among women. Main outcome measures included total mortality and deaths due to cancer, cardiovascular disease, injuries and sudden deaths, and all other causes.

RESULTS

There were 47 976 male deaths and 23 276 female deaths during 10 years of follow-up. Men and women in the highest vs lowest quintile of red (HR, 1.31 [95% CI, 1.27-1.35], and HR, 1.36 [95% CI, 1.30-1.43], respectively) and processed meat (HR, 1.16 [95% CI, 1.12-1.20], and HR, 1.25 [95% CI, 1.20-1.31], respectively) intakes had elevated risks for overall mortality. Regarding cause-specific mortality, men and women had elevated risks for cancer mortality for red (HR, 1.22 [95% CI, 1.16-1.29], and HR, 1.20 [95% CI, 1.12-1.30], respectively) and processed meat (HR, 1.12 [95% CI, 1.06-1.19], and HR, 1.11 [95% CI 1.04-1.19], respectively) intakes. Furthermore, cardiovascular disease risk was elevated for men and women in the highest quintile of red (HR, 1.27 [95% CI, 1.20-1.35], and HR, 1.50 [95% CI, 1.37-1.65], respectively) and processed meat (HR, 1.09 [95% CI, 1.03-1.15], and HR, 1.38 [95% CI, 1.26-1.51], respectively) intakes. When comparing the highest with the lowest quintile of white meat intake, there was an inverse association for total mortality and cancer mortality, as well as all other deaths for both men and women.

CONCLUSION

Red and processed meat intakes were associated with modest increases in total mortality, cancer mortality, and cardiovascular disease mortality.

摘要

背景

大量摄入红肉或加工肉类可能会增加死亡风险。我们的目标是确定红肉、白肉和加工肉类的摄入量与全因死亡率和特定病因死亡率风险之间的关系。

方法

研究人群包括美国国立卫生研究院-美国退休人员协会(原美国退休人员协会)饮食与健康研究队列中50万年龄在50至71岁之间的基线人群。肉类摄入量通过基线时发放的食物频率问卷进行估算。Cox比例风险回归模型估计了肉类摄入量五分位数内的风险比(HRs)和95%置信区间(CIs)。模型中纳入的协变量包括年龄、教育程度、婚姻状况、癌症家族史(是/否)(仅用于癌症死亡率分析)、种族、体重指数、31级吸烟史、身体活动、能量摄入、酒精摄入、维生素补充剂使用情况、水果消费、蔬菜消费以及女性的绝经后激素治疗情况。主要结局指标包括全因死亡率以及癌症、心血管疾病、伤害和猝死以及所有其他原因导致的死亡。

结果

在10年的随访期间,有47976例男性死亡和23276例女性死亡。红肉(HR分别为1.31[95%CI,1.27 - 1.35]和HR为1.36[95%CI,1.30 - 1.43])和加工肉类(HR分别为1.16[95%CI,1.12 - 1.20]和HR为1.25[95%CI,1.20 - 1.31])摄入量处于最高五分位数与最低五分位数的男性和女性,其全因死亡风险均有所升高。关于特定病因死亡率,红肉(HR分别为1.22[95%CI,1.16 - 1.29]和HR为1.20[95%CI,1.12 - 1.30])和加工肉类(HR分别为1.12[95%CI,1.06 - 1.19]和HR为1.11[95%CI 1.04 - 1.19])摄入量处于最高五分位数与最低五分位数的男性和女性,其癌症死亡风险均有所升高。此外,红肉(HR分别为1.27[95%CI,1.20 - 1.35]和HR为1.50[95%CI,1.37 - 1.65])和加工肉类(HR分别为1.09[95%CI,1.03 - 1.15]和HR为1.38[95%CI,1.26 - 1.51])摄入量处于最高五分位数的男性和女性,其心血管疾病风险升高。当比较白肉摄入量最高与最低五分位数时,男性和女性在全因死亡率、癌症死亡率以及所有其他死因方面均呈现负相关。

结论

红肉和加工肉类的摄入量与全因死亡率、癌症死亡率和心血管疾病死亡率的适度增加有关。

相似文献

1
Meat intake and mortality: a prospective study of over half a million people.
Arch Intern Med. 2009 Mar 23;169(6):562-71. doi: 10.1001/archinternmed.2009.6.
2
Association of Animal and Plant Protein Intake With All-Cause and Cause-Specific Mortality in a Japanese Cohort.
JAMA Intern Med. 2019 Nov 1;179(11):1509-1518. doi: 10.1001/jamainternmed.2019.2806.
3
High red meat intake and all-cause cardiovascular and cancer mortality: is the risk modified by fruit and vegetable intake?
Am J Clin Nutr. 2016 Oct;104(4):1137-1143. doi: 10.3945/ajcn.116.135335. Epub 2016 Aug 24.
5
A prospective study of red and processed meat intake in relation to cancer risk.
PLoS Med. 2007 Dec;4(12):e325. doi: 10.1371/journal.pmed.0040325.
6
Red and Processed Meat and Mortality in a Low Meat Intake Population.
Nutrients. 2019 Mar 14;11(3):622. doi: 10.3390/nu11030622.
9
Fruit, vegetable, and legume intake and the risk of all-cause, cardiovascular, and cancer mortality: A prospective study.
Clin Nutr. 2021 Jun;40(6):4316-4323. doi: 10.1016/j.clnu.2021.01.016. Epub 2021 Jan 27.
10
Fat, protein, and meat consumption and renal cell cancer risk: a pooled analysis of 13 prospective studies.
J Natl Cancer Inst. 2008 Dec 3;100(23):1695-706. doi: 10.1093/jnci/djn386. Epub 2008 Nov 25.

引用本文的文献

2
Exploring the Comparative Impact of Red and White Meat on Cardiovascular Diseases: A Global Cross-Sectional Ecological Study.
Health Sci Rep. 2025 Jun 30;8(7):e70990. doi: 10.1002/hsr2.70990. eCollection 2025 Jul.
5
LACE-UP: An ensemble machine-learning method for health subtype classification on multidimensional binary data.
Proc Natl Acad Sci U S A. 2025 Apr 29;122(17):e2423341122. doi: 10.1073/pnas.2423341122. Epub 2025 Apr 23.
6
A recipe for a disaster: food, climate change, and cancer.
Cancer Causes Control. 2025 Apr 18. doi: 10.1007/s10552-025-01996-3.
7
10
Reducing ruminant numbers and consumption of animal source foods are aligned with environmental and public health demands.
Landbauforschung (Braunschw). 2019 Dec 14;69(1):35-30. doi: 10.3220/LBF1581688226000.

本文引用的文献

1
Binary regression in truncated samples, with application to comparing dietary instruments in a large prospective study.
Biometrics. 2008 Mar;64(1):289-98. doi: 10.1111/j.1541-0420.2007.00833.x. Epub 2007 Jul 25.
3
A cohort study of dietary iron and heme iron intake and risk of colorectal cancer in women.
Br J Cancer. 2007 Jul 2;97(1):118-22. doi: 10.1038/sj.bjc.6603837. Epub 2007 Jun 5.
7
Meat-related mutagens/carcinogens in the etiology of colorectal cancer.
Environ Mol Mutagen. 2004;44(1):44-55. doi: 10.1002/em.20030.
9
Are imprecise methods obscuring a relation between fat and breast cancer?
Lancet. 2003 Jul 19;362(9379):212-4. doi: 10.1016/S0140-6736(03)13913-X.
10
Structure of dietary measurement error: results of the OPEN biomarker study.
Am J Epidemiol. 2003 Jul 1;158(1):14-21; discussion 22-6. doi: 10.1093/aje/kwg091.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验