肥胖在特定膳食模式和慢性营养成分与心脏代谢风险因素的关联中的中介作用:结构方程模型。

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS
Azadeh Lesani, Mehrdad Karimi, Zahra Akbarzade, Kurosh Djafarian, Sakineh Shab-Bidar
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引用次数: 0

摘要

背景:昼夜节律饮食模式和慢性营养可能会影响肥胖和疾病的发病率。因此,本研究旨在利用结构方程模型(SEM)评估肥胖在特定膳食饮食模式(DPs)、昼夜营养成分和心脏代谢风险之间关系的中介作用:方法:对 825 名伊朗成年人进行了横断面研究。通过三次 24 小时饮食回顾记录饮食摄入量。填写了晨昏问卷。进餐时间、进餐频率和不规则能量得分均来自饮食回忆。通过主成分分析确定了早餐、午餐和晚餐的膳食结构。此外,还进行了人体测量、血压和实验室检查,包括空腹血糖水平、血脂和胰岛素水平。胰岛素抗性采用平衡模型进行评估,甘油三酯和葡萄糖指数也进行了计算:最终的 SEM 显示,早餐中的 "油、鸡蛋和谷物 "DPs 与血脂直接相关[β(95% CI);0.105(0.007-0.203)]。午餐中的 "油、奶制品、马铃薯和鸡蛋 "DPs 与血脂[0.156(0.040-0.271)]、血压(0.338(0.226-0.449)]和胰岛素指数[0.208(0.188-0.277)]的增加间接相关。晚餐时,"谷物、油、家禽和豆类 "DPs 与较低的血压直接相关[- 0.095(- 0.179 至- 0.012)]。进食频率与血脂水平直接相关(- 0.101(- 0.193 至 - 0.008)]。结论:结论:更频繁的进餐和更健康的饮食(尤其是晚餐)与更好的心脏代谢结果有关,肥胖是某些影响的中介。需要进行纵向研究以明确因果关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The mediating role of obesity in the associations of meal-specific dietary patterns and chrono-nutrition components with cardiometabolic risk factors: structural equation modeling.

Background: Circadian eating patterns and chrono-nutrition may influence obesity and disease incidence. Thus, this study aimed to assess the mediating role of obesity in the relationship between meal-specific dietary patterns (DPs), chrono-nutritional components, and cardiometabolic risk using structural equation modeling (SEM).

Methods: A cross-sectional study involving 825 Iranian adults was conducted. Dietary intake was recorded using three 24-h dietary recalls. The morning-evening questionnaire was completed. Meal timing, frequency of eating occasions, and irregular energy scores were derived from dietary recalls. Principal component analysis identified DPs for breakfast, lunch, and dinner. Anthropometric measurements, blood pressure, and laboratory investigations, including fasting glucose levels, lipid profiles, and insulin levels, were performed. Insulin resistance was assessed using the homeostatic model, and triglyceride and glucose indices were calculated.

Results: The final SEM showed, that the "oil, egg, and cereals" DPs at breakfast were directly associated with lipids [β (95% CI); 0.105 (0.007-0.203)]. The "oil, dairy, potato, and egg" DPs at lunch were indirectly linked to increased lipids [0.156 (0.040-0.271), BP (0.338 (0.226-0.449)], and insulin indices [0.208 (0.188-0.277)]. At dinner, the "cereal, oil, poultry, and legume" DPs was directly related to lower BP [- 0.095 (- 0.179 to - 0.012)]. The frequency of eating was directly related to lipid levels (- 0.101 (- 0.193 to - 0.008)]. An irregular energy score was not related to outcomes.

Conclusion: More frequent meals and healthier DPs, especially at dinner, were linked to better cardiometabolic outcomes, with obesity mediating some effects. Longitudinal studies are needed to clarify causal relationships.

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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