Saturated Fatty Acid Intake and Risk of Type 2 Diabetes: An Updated Systematic Review and Dose–Response Meta-Analysis of Cohort Studies

医学 荟萃分析 内科学 妊娠期糖尿病 队列研究 2型糖尿病 肉豆蔻酸 糖尿病 队列 2型糖尿病 脂肪酸 棕榈酸 内分泌学 怀孕 妊娠期 化学 有机化学 生物 遗传学
作者
Zahra Gaeini,Zahra Bahadoran,Parvin Mirmiran
出处
期刊:Advances in Nutrition [Elsevier BV]
标识
DOI:10.1093/advances/nmac071
摘要

This systematic review and meta-analysis was conducted to pool findings of cohort studies that investigated hazards of type 2 diabetes mellitus (T2DM) in relation to intakes of SFAs. A systematic search was conducted in the PubMed, Scopus, and Embase databases up to June 2021 to find eligible studies. Review articles or commentaries, clinical trials, cross-sectional studies, studies on gestational or type 1 diabetes patients, animal studies, articles with no access to full-texts, articles published in non-English languages, and articles with missing critical data needed for the systematic review were excluded from the meta-analysis. A random-effects model was used to combine study-specific results. Thirteen cohort studies with 361,686 participants and 11,865 T2DM events were included. Dietary total SFA intake, as well as dietary palmitic acid (PA) or stearic acid (SA) were not associated with risk of T2DM when the highest was compared with the lowest intake category (HR = 0.99; 95% CI: 0.91, 1.09; n = 13 for total SFAs; HR = 0.96; 95% CI: 0.79, 1.15; n = 4 for PA; and HR = 1.08; 95% CI: 0.79, 1.49; n = 4 for SA). However, the risk of T2DM decreased by 11% in the highest compared with the lowest category of dietary lauric acid (HR = 0.89; 95% CI: 0.82, 0.97; n = 2), and by 17% in the highest compared with lowest category of dietary myristic acid (MA) (HR = 0.83; 95% CI: 0.74, 0.92; n = 3). There was evidence of publication bias among studies on dietary total SFAs and T2DM. Our results indicated no significant association between dietary total SFA and risk of T2DM. However, dietary intake of MA was negatively associated with developing T2DM.

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
微微发布了新的文献求助10
刚刚
刚刚
华仔应助土豪的洋葱采纳,获得10
3秒前
李健的粉丝团团长应助77采纳,获得10
4秒前
张栋发布了新的文献求助10
5秒前
5秒前
6秒前
酸菜发布了新的文献求助10
6秒前
7秒前
Owen应助啦啦啦采纳,获得10
8秒前
8秒前
8秒前
10秒前
科研通AI6.2应助微微采纳,获得10
11秒前
MeiyanZou发布了新的文献求助10
11秒前
小马发布了新的文献求助10
11秒前
12秒前
友好灵阳发布了新的文献求助10
12秒前
灵巧羿发布了新的文献求助10
13秒前
不爱吃醋发布了新的文献求助10
13秒前
13秒前
Hao123发布了新的文献求助10
13秒前
14秒前
14秒前
15秒前
15秒前
俭朴的思远完成签到,获得积分10
16秒前
16秒前
瘦瘦寻菡完成签到,获得积分20
16秒前
17秒前
汉堡包应助略略略采纳,获得10
17秒前
娟娟完成签到,获得积分10
20秒前
Swater发布了新的文献求助10
20秒前
20秒前
20秒前
21秒前
22秒前
77发布了新的文献求助10
22秒前
25秒前
啦啦啦发布了新的文献求助10
27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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6366234
求助须知:如何正确求助?哪些是违规求助? 8180200
关于积分的说明 17244996
捐赠科研通 5421014
什么是DOI,文献DOI怎么找? 2868296
邀请新用户注册赠送积分活动 1845473
关于科研通互助平台的介绍 1692930