You Wenpeng, Henneberg Renata, Saniotis Arthur, Ge Yanfei, Henneberg Maciej
Biological Anthropology and Comparative Anatomy Research Unit (BACARU), Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.
FAPAB Research Center, Avola SR, 96012, Sicily, Italy.
Int J Gen Med. 2022 Feb 22;15:1833-1851. doi: 10.2147/IJGM.S333004. eCollection 2022.
The association between a plant-based diet (vegetarianism) and extended life span is increasingly criticised since it may be based on the lack of representative data and insufficient removal of confounders such as lifestyles.
We examined the association between meat intake and life expectancy at a population level based on ecological data published by the United Nations agencies.
Population-specific data were obtained from 175 countries/territories. Scatter plots, bivariate, partial correlation and linear regression models were used with SPSS 25 to explore and compare the correlations between newborn life expectancy (e), life expectancy at 5 years of life (e) and intakes of meat, and carbohydrate crops, respectively. The established risk factors to life expectancy - caloric intake, urbanization, obesity and education levels - were included as the potential confounders.
Worldwide, bivariate correlation analyses revealed that meat intake is positively correlated with life expectancies. This relationship remained significant when influences of caloric intake, urbanization, obesity, education and carbohydrate crops were statistically controlled. Stepwise linear regression selected meat intake, not carbohydrate crops, as one of the significant predictors of life expectancy. In contrast, carbohydrate crops showed weak and negative correlation with life expectancy.
If meat intake is not incorporated into nutrition science for predicting human life expectancy, results could prove inaccurate.
基于植物的饮食(素食主义)与延长寿命之间的关联越来越受到批评,因为这可能基于缺乏代表性数据以及未充分排除生活方式等混杂因素。
我们根据联合国机构公布的生态数据,在人群层面研究肉类摄入量与预期寿命之间的关联。
从175个国家/地区获取特定人群的数据。使用SPSS 25软件进行散点图、双变量、偏相关和线性回归模型分析,以分别探讨和比较新生儿预期寿命(e)、5岁时预期寿命(e)与肉类摄入量以及碳水化合物作物摄入量之间的相关性。将已确定的预期寿命风险因素——热量摄入、城市化、肥胖和教育水平——作为潜在混杂因素纳入分析。
在全球范围内,双变量相关分析显示肉类摄入量与预期寿命呈正相关。在对热量摄入、城市化、肥胖、教育和碳水化合物作物的影响进行统计学控制后,这种关系仍然显著。逐步线性回归选择肉类摄入量而非碳水化合物作物作为预期寿命的重要预测因素之一。相比之下,碳水化合物作物与预期寿命呈弱负相关。
如果在预测人类预期寿命时不将肉类摄入量纳入营养科学,结果可能不准确。