Lee Yea-Chan, Kim Hyung-Mi, Lee Hye Sun, Jeon Soyoung, Kwon Yu-Jin, Lee Ji-Won
Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Department of Food and Nutrition, Dongduk Women's University, Seoul, Republic of Korea.
Front Nutr. 2025 Jul 22;12:1509620. doi: 10.3389/fnut.2025.1509620. eCollection 2025.
This study aimed to investigate dietary patterns in relation to body composition, categorized into four groups using large-scale nationwide data: neither low muscle mass nor high body fat (N), low muscle mass only (LMo), high body fat only (HFo), and low muscle mass with high body fat (LMHF).
A total of 15,917 participants from the 2008-2011 Korea National Health and Nutrition Examination Survey were analyzed. Propensity score matching (PSM) values, representing the predicted probability of patients having LMo, HFo, or LMHF, were estimated using logistic regression analysis while adjusting for confounders. Analysis of covariance was then used to compare daily macronutrient intake and weekly consumption frequency of food groups among the study groups, adjusting for total calorie intake.
Participants in the LMHF and HFo groups consumed lower amounts of carbohydrates and higher proportions of proteins and fats compared to the N group. Those in the LMHF and LMo groups had less frequent consumption of rice and vegetables and more frequent intake of ultra-processed foods. Additionally, participants in the LMo and HFo groups consumed beverages more frequently than those in the N group.
Imbalances in body composition, such as LMo, HFo, and LMHF, are associated with less favorable dietary patterns, including higher consumption of ultra-processed foods and beverages, and lower intake of rice and vegetables. Further research is needed to explore targeted nutritional interventions for these groups.
本研究旨在利用大规模全国性数据调查与身体成分相关的饮食模式,将其分为四组:既无低肌肉量也无高体脂(N)、仅低肌肉量(LMo)、仅高体脂(HFo)以及低肌肉量且高体脂(LMHF)。
对2008 - 2011年韩国国民健康与营养检查调查中的15917名参与者进行了分析。在调整混杂因素的同时,使用逻辑回归分析估计倾向得分匹配(PSM)值,该值代表患者具有LMo、HFo或LMHF的预测概率。然后使用协方差分析比较研究组之间每日常量营养素摄入量和食物组的每周消费频率,并对总热量摄入进行调整。
与N组相比,LMHF组和HFo组的参与者碳水化合物摄入量较低,蛋白质和脂肪比例较高。LMHF组和LMo组的参与者大米和蔬菜的消费频率较低,超加工食品的摄入量较高。此外,LMo组和HFo组的参与者饮用饮料的频率高于N组。
身体成分失衡,如LMo、HFo和LMHF,与不太健康的饮食模式有关,包括超加工食品和饮料的摄入量较高,以及大米和蔬菜的摄入量较低。需要进一步研究探索针对这些群体的有针对性的营养干预措施。