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Effects of the Interaction Between Body Mass Index and Dietary Patterns on Severe NAFLD Incidence: a Prospective Cohort Study

Clinical Nutrition(2024)SCI 2区SCI 1区

Shanghai Univ Tradit Chinese Med

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Abstract
Background: It remains unclear whether the associations between dietary patterns and non-alcoholic fatty liver disease (NAFLD) vary by body mass index (BMI). We aimed to explore the association between dietary patterns and severe NAFLD incidence, and further investigate the interaction of BMI with dietary patterns. Methods: In a prospective cohort study using UK Biobank data, we included White participants with baseline food frequency questionnaire (FFQ) information. Principal component analysis (PCA) with varimax rotation was performed to identify major dietary patterns. The primary outcome was severe NAFLD, defined as hospitalization due to NAFLD or non-alcoholic steatohepatitis (NASH). We employed cause-specific Cox regression for competing risks to assess the association and calculated the relative excess risk due to interaction (RERI) to estimate the interaction of BMI. Results: This study included 307,130 participants with a median follow-up of 12.68 years. 3104 cases of severe NAFLD were identified. PCA analysis revealed two primary dietary patterns: a prudent diet (RC1) and a meat-based diet (RC2). Multivariate analysis showed a standard deviation (SD) increase in RC1 was associated with lower severe NAFLD risk (HR 0.91 [95 % CI 0.88 to 0.94]), while a SD increase in RC2 was associated with higher risk (1.10 [1.05 to 1.14]). Significant interactions were observed between baseline BMI >= 25 kg/m2 and dietary patterns (RC1: RERI:-0.22 [95% CI-0.43 to-0.0 03]; RC2: 0.29 [0.03 to 0.56]). Conclusions: Targeted dietary modifications are vital for specific populations at risk of severe NAFLD, considering the significant interaction observed between BMI and dietary patterns. (c) 2024 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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NAFLD,Dietary pattern,BMI,Interaction effect,Prospective cohort
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要点】:研究探讨了身体质量指数(BMI)与饮食模式之间的交互作用对重度非酒精性脂肪性肝病(NAFLD)发病率的影响,发现BMI与饮食模式存在显著交互作用。

方法】:利用英国生物银行的数据,对具有基线食物频率问卷(FFQ)信息的白人参与者进行前瞻性队列研究,通过主成分分析(PCA)识别主要饮食模式,并使用竞争风险Cox回归评估关联性。

实验】:研究纳入307,130名参与者,中位随访时间为12.68年,通过PCA分析确定两种主要饮食模式:谨慎饮食和基于肉类的饮食。结果显示谨慎饮食与较低的重度NAFLD风险相关,而基于肉类的饮食与较高的风险相关,BMI >= 25 kg/m2与饮食模式之间存在显著交互作用。