Department of Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Department of Family Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Gyeonggi, Republic of Korea.
Front Endocrinol (Lausanne). 2024 Sep 4;15:1424761. doi: 10.3389/fendo.2024.1424761. eCollection 2024.
Childhood obesity is a growing global health concern, but few studies have investigated dietary factors specifically related to obesity and abdominal obesity in children and adolescents. Herein, we aimed to identify the dietary factors affecting childhood obesity in Korean children and adolescents.
Data from the Korea National Health and Nutrition Survey (KNHANES) VIII were analyzed using K-means clustering analysis to identify distinct clusters based on nine variables related to dietary habit, nutritional status, and nutritional education. Multiple logistic regression analysis was used to examine the association between incident obesity risk and the different clusters. We enrolled 2,290 participants aged 6-18 years, and separated them into two distinct clusters; Healthy and Unhealthy Dietary Habit Groups, clusters 1 and 2, respectively.
Cluster 1 was characterized by a lower obesity prevalence, healthier dietary habits (regular breakfast consumption; fruit and vegetable, reduced total energy, and lower protein and fat intakes), and greater nutritional education than Cluster 2. After adjusting for confounders, compared with Cluster 1, Cluster 2 demonstrated a significantly higher prevalence (OR [95% CI]) of both general and abdominal obesity (1.49 [1.05-2.13], p=0.027 and 1.43 [1.09-1.88], p=0.009).
Maintaining optimal dietary quality and patterns are crucial to prevent childhood obesity. Further research is warranted to explore specific dietary interventions tailored to different clusters to effectively address childhood obesity.
儿童肥胖是一个日益严重的全球健康问题,但很少有研究专门调查与儿童和青少年肥胖和腹部肥胖相关的饮食因素。在此,我们旨在确定影响韩国儿童肥胖的饮食因素。
使用 K-均值聚类分析对韩国国家健康和营养调查(KNHANES)VIII 中的数据进行分析,根据与饮食习惯、营养状况和营养教育相关的九个变量来识别不同的聚类。使用多因素逻辑回归分析来检查肥胖风险与不同聚类之间的关联。我们共纳入了 2290 名 6-18 岁的参与者,将他们分为两个不同的聚类:健康饮食组和不健康饮食组,聚类 1 和聚类 2。
聚类 1 的肥胖患病率较低,饮食习惯更健康(规律吃早餐;食用水果和蔬菜,摄入的总能量、蛋白质和脂肪更少),营养教育程度更高。与聚类 1 相比,在调整了混杂因素后,聚类 2 的一般肥胖和腹部肥胖的患病率明显更高(OR[95%CI]):1.49[1.05-2.13],p=0.027 和 1.43[1.09-1.88],p=0.009)。
保持最佳的饮食质量和模式对于预防儿童肥胖至关重要。需要进一步研究来探索针对不同聚类的具体饮食干预措施,以有效解决儿童肥胖问题。