Association of low carbohydrate diet score with the risk of type 2 diabetes in an Australian population: A longitudinal study

医学 2型糖尿病 糖尿病 肥胖 低碳水化合物 联想(心理学) 内科学 人口学 内分泌学 心理学 社会学 心理治疗师 减肥
作者
Robel Hussen Kabthymer,Md Nazmul Karim,Catherine Itsiopoulos,Allison Hodge,Barbora de Courten
出处
期刊:Diabetes and Metabolic Syndrome: Clinical Research and Reviews [Elsevier BV]
卷期号:18 (6): 103049-103049 被引量:3
标识
DOI:10.1016/j.dsx.2024.103049
摘要

We aimed to assess the association of a low carbohydrate diet score (LCD) with the incidence of type 2 diabetes (T2D) using Melbourne Collaborative Cohort Study (MCCS) data. Between 1990 and 1994, the MCCS recruited 41,513 people aged 40 to 69 years. The first and second follow-ups were conducted in 1995-1998 and 2003-2007, respectively. We analyzed data from 39,185 participants. LCD score was calculated at baseline as the percentage of energy from carbohydrate, fat, and protein. The higher the score the less percentage of carbohydrates contributed to energy intake. The association of LCD quintiles with the incidence of diabetes was assessed using modified Poisson regression, adjusted for lifestyle, obesity, socioeconomic and other confounders. Mediation of the association by adiposity (BMI) was assessed LCD was positively associated with diabetes risk. Higher LCD score (p for trend=0.001) was associated with increased risk of T2D. Quintile 5 (38% energy from carbohydrates) versus quintile 1 (55% energy from carbohydrates) showed a 20 % increased diabetes risk (incidence risk ratio (IRR) =1.20 (95% CI: 1.05-1.37)). A further adjustment for BMI (Body Mass Index) and WHR (Waist- to-Hip-Ratio) eliminated the association. Mediation analysis demonstrated that BMI mediated 76% of the LCD & diabetes association. Consuming a low carbohydrate diet, reflected as a high LCD score, may increase the risk of T2D which is largely explained by obesity. Results highlight the need for further studies, including clinical trials investigating the effects of a low carbohydrate diet in T2D.
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
多肽药化完成签到 ,获得积分10
1秒前
1秒前
田宇发布了新的文献求助10
2秒前
4秒前
4秒前
up完成签到 ,获得积分10
5秒前
研友_VZG7GZ的应助被七喜采纳,获得10
5秒前
所所的应助被李雪宁采纳,获得20
5秒前
5秒前
共享精神的应助被鑫淼采纳,获得10
5秒前
研友_VZG7GZ的应助被徐发美采纳,获得10
5秒前
6秒前
niu发布了新的文献求助10
6秒前
ASH完成签到,获得积分10
7秒前
seven完成签到,获得积分10
7秒前
deswin完成签到,获得积分10
8秒前
Betty完成签到 ,获得积分10
11秒前
11秒前
11秒前
12秒前
12秒前
福缘发布了新的文献求助10
13秒前
sml的应助被dde采纳,获得10
13秒前
Nole的应助被顺利代曼采纳,获得10
13秒前
13秒前
14秒前
DOC_XIONG的应助被xht采纳,获得10
15秒前
15秒前
15秒前
乐乐的应助被lhy1150469792采纳,获得10
16秒前
MDlmh完成签到,获得积分20
16秒前
李雪宁发布了新的文献求助20
17秒前
蓝天的应助被小猪采纳,获得10
17秒前
17秒前
Arw发布了新的文献求助10
17秒前
Siren发布了新的文献求助10
17秒前
17秒前
18秒前
深情安青的应助被萤火采纳,获得10
18秒前
19秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Production Logging: Theoretical and Interpretive Elements 400
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7816109
求助须知:如何正确求助?哪些是违规求助? 9345270
关于积分的说明 20528931
捐赠科研通 7408655
什么是DOI,文献DOI怎么找? 3331055
关于科研通互助平台的介绍 2477613
邀请新用户注册赠送积分活动 2350845