The association between fatty acid intake and breast cancer based on the NHANES and Mendelian randomization study

孟德尔随机化 医学 内科学 乳腺癌 低风险 临床营养学 生理学 脂肪酸 逻辑回归 六烯酸 全国健康与营养检查调查 癌症 置信区间 人口 多不饱和脂肪酸 环境卫生 生物 生物化学 遗传变异 基因 基因型
作者
Feng Guo,Min Wang,Xuecan Guo,Liyuan Pu,Mengzi Sun,Shuo Li,Tianyu Feng,Li Tong,Saisai Zhao,Wenhui Gao,Xinli Lin,Yan Yao,Lina Jin
出处
期刊:Cancer Epidemiology [Elsevier]
卷期号:73: 101966-101966 被引量:18
标识
DOI:10.1016/j.canep.2021.101966
摘要

Observational studies have examined the association between fatty acid intake and breast cancer (BC), and the association might vary depending on menopausal status, but the results remain controversial. The objective of this study was to investigate the associations between fatty acid intake and BC. The National Health and Nutrition Examination Survey (NHANES) 1999–2016 was used in the study, and stratified analysis by menopausal status was performed. Logistic regression models were used to evaluate the associations between BC and intake of saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs), and polyunsaturated fatty acids (PUFAs), adjusting for covariates. Three two-sample Mendelian randomization (MR) methods—inverse variance weighted (IVW), weighted median, and Mendelian randomization–Egger (MR-Egger) regression—were applied to further verify the associations between intake of fatty acids and BC. Higher intake of MUFAs was associated with lower risk of BC in premenopausal women: ORs (95 %CI): 0.325 (0.110, 0.964). IVW showed that increased intake of MUFAs was associated with a reduced risk of BC: 0.997 (0.995, 1.000), p = 0.024. No associations between BC and SFAs, MUFAs or PUFAs were found in postmenopausal women or in the overall population. Increasing intake of MUFAs might reduce the risk of BC in premenopausal women. The protective effect of MUFAs on BC was also supported by MR study.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
深年完成签到,获得积分10
1秒前
慕青应助浮云采纳,获得10
3秒前
Everglow完成签到,获得积分10
3秒前
3秒前
6666应助djbj2022采纳,获得10
4秒前
山下梅子酒完成签到 ,获得积分10
5秒前
5秒前
Ava应助木子李采纳,获得10
5秒前
5秒前
6666应助ichia采纳,获得10
6秒前
科研通AI2S应助无语的代真采纳,获得10
6秒前
6秒前
7秒前
8秒前
嗯呐发布了新的文献求助10
10秒前
kk完成签到 ,获得积分10
10秒前
10秒前
善莫大焉发布了新的文献求助10
10秒前
小怪完成签到,获得积分10
10秒前
like发布了新的文献求助10
11秒前
秦风发布了新的文献求助10
12秒前
无奈的醉薇完成签到,获得积分10
13秒前
13秒前
邢江利发布了新的文献求助10
14秒前
Ava应助尤小玉采纳,获得10
14秒前
14秒前
14秒前
叶帆完成签到,获得积分20
14秒前
15秒前
15秒前
尘曦完成签到,获得积分10
16秒前
量子星尘发布了新的文献求助10
16秒前
17秒前
文艺的青旋完成签到 ,获得积分10
17秒前
18秒前
19秒前
崔龙锋发布了新的文献求助10
19秒前
葡萄糖发布了新的文献求助10
19秒前
善莫大焉完成签到,获得积分20
20秒前
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
从k到英国情人 1500
Ägyptische Geschichte der 21.–30. Dynastie 1100
„Semitische Wissenschaften“? 1100
Real World Research, 5th Edition 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5737437
求助须知:如何正确求助?哪些是违规求助? 5372472
关于积分的说明 15335484
捐赠科研通 4880930
什么是DOI,文献DOI怎么找? 2623186
邀请新用户注册赠送积分活动 1571999
关于科研通互助平台的介绍 1528811