The Associations between Healthy Eating Patterns and Risk of Metabolic Dysfunction-Associated Steatotic Liver Disease: A Case–Control Study

医学 内科学 优势比 破折号 置信区间 地中海饮食法 脂肪肝 疾病 病例对照研究 体质指数 逻辑回归 流行病学 计算机科学 操作系统
作者
Xia Huang,Da Gan,Yahui Fan,Qihui Fu,Cong He,Wenjian Liu,Li Feng,Le Ma,Mingxu Wang,Wei Zhang
出处
期刊:Nutrients [Multidisciplinary Digital Publishing Institute]
卷期号:16 (12): 1956-1956 被引量:1
标识
DOI:10.3390/nu16121956
摘要

Background: Although several epidemiological studies have identified an inverse association between healthy dietary patterns and metabolic dysfunction-associated steatotic liver disease (MASLD)/non-alcoholic fatty liver disease (NAFLD), little is known about the contribution of the food component to MASLD risk and the association between dietary patterns and severity of MASLD. This study aimed to investigate the association between healthy eating patterns and MASLD risk and severity of MASLD. Methods: A case–control study including 228 patients diagnosed with MASLD and 228 controls was conducted. The modified Alternate Healthy Eating Index (AHEI), Dietary Approaches to Stop Hypertension (DASH) score, and Alternative Mediterranean Diet (AMED) score were evaluated based on information collected via a validated food-frequency questionnaire. MASLD was confirmed if participants presented with ultrasound-diagnosed fatty liver diseases along with at least one of five cardiometabolic risk factors and no other discernible cause. The logistic regression models were applied to estimate the odds ratio (OR) and 95% confidence interval (95% CI) of MASLD for dietary scores. Results: Compared with participants in the lowest tertile, those in the highest tertile of AHEI had a 60% reduced risk of MASLD (OR: 0.40; 95% CI: 0.25–0.66). Similar associations were also observed for DASH and AMED, with ORs comparing extreme tertiles of 0.38 (95% CI: 0.22–0.66) and 0.46 (95% CI: 0.28–0.73), respectively. Further Stratified analysis revealed that the inverse associations between AHEI and DASH with MASLD risks were stronger among women than men, and the inverse associations between AMED and MASLD risks were more pronounced among participants with normal weight (OR: 0.22; 95% CI: 0.09–0.49). For components within the dietary score, every one-point increase in vegetable score and whole grain score within the AHEI was associated with an 11% (95% CI: 5–16%) and a 6% (95% CI: 0–12%) lower MASLD risk, respectively. Similar inverse associations with those scores were observed for the DASH and AMED. Conclusion: Greater adherence to healthy eating patterns was associated with reduced risk of MASLD, with vegetables and whole grains predominately contributing to these associations. These findings suggested that healthy eating patterns should be recommended for the prevention of MASLD.
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
1秒前
lucky完成签到 ,获得积分10
1秒前
仲大船完成签到,获得积分10
2秒前
起风了发布了新的文献求助10
4秒前
蓝色牛马发布了新的文献求助10
4秒前
haishixigua完成签到,获得积分0
4秒前
和谐代芙发布了新的文献求助10
5秒前
Hello应助酷酷的安采纳,获得10
6秒前
Helen完成签到,获得积分10
6秒前
sanshu完成签到 ,获得积分10
7秒前
10秒前
10秒前
12秒前
Adler给Adler的求助进行了留言
13秒前
开放似狮完成签到,获得积分10
13秒前
小方发布了新的文献求助10
14秒前
林北完成签到 ,获得积分20
14秒前
小短腿飞行员完成签到,获得积分10
15秒前
haonanchen完成签到,获得积分10
16秒前
王慧琳完成签到 ,获得积分20
16秒前
沅水驿发布了新的文献求助10
17秒前
tang完成签到 ,获得积分10
17秒前
果果完成签到,获得积分20
19秒前
王磊完成签到,获得积分10
20秒前
20秒前
20秒前
上官若男应助jsh采纳,获得10
22秒前
果果发布了新的文献求助30
22秒前
拿铁小笼包完成签到,获得积分10
23秒前
科研通AI6.2应助旧梦如烟采纳,获得10
25秒前
27秒前
27秒前
LL发布了新的文献求助10
28秒前
28秒前
28秒前
YeMa完成签到,获得积分10
29秒前
柚子发布了新的文献求助10
29秒前
丘比特应助pho采纳,获得30
30秒前
31秒前
31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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Periodic Report Summary 2 - AFTER (A Framework for electrical power sysTems vulnerability identification, dEfense and Restoration) 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7319694
求助须知:如何正确求助?哪些是违规求助? 8935327
关于积分的说明 18941893
捐赠科研通 6978245
什么是DOI,文献DOI怎么找? 3214413
关于科研通互助平台的介绍 2382270
邀请新用户注册赠送积分活动 2193439