Department of Pediatrics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
1st Department of Pediatrics, Semmelweis University, 1083 Budapest, Hungary.
Int J Environ Res Public Health. 2022 Dec 1;19(23):16091. doi: 10.3390/ijerph192316091.
Malnutrition and inflammatory bowel disease (IBD) are interrelated conditions. Our aim was to assess the prevalence of malnutrition, to compare anthropometric parameters in the evaluation of nutritional status in pediatric IBD, and to investigate the association between anthropometric parameters and disease activity indices (AI). Pediatric patients with newly diagnosed IBD recorded between 2010 and 2016 in the Hungarian Pediatric IBD Registry were included in this cross-sectional study. Body weight, body mass index (BMI), weight-for-height, and ideal body weight percent (IBW%) were analyzed. Pearson linear and non-linear correlations and polynomial regression analyses were performed to assess correlation between nutritional status and AI. p-values < 0.05 were considered significant. Anthropometric data of 1027 children with IBD (Crohn’s disease (CD): 699; ulcerative colitis (UC): 328; mean age 13.7 years) were analyzed. IBW% identified more obese patients than BMI both in CD (7.02% vs. 2.28%) and UC (12.17% vs. 5.48%). Significant negative correlation was found among anthropometric parameters and AI in CD. In contrast, polynomial regression analysis revealed a U-shaped correlation curve between IBW% and AI in UC. Our findings show that obesity has a bimodal association with disease activity in pediatric UC. Furthermore, IBW% was more useful to identify obese pediatric patients with IBD.
营养不良与炎症性肠病(IBD)互为关联的病症。我们的目的是评估营养不良的患病率,比较儿童 IBD 营养评估中的人体测量参数,并探讨人体测量参数与疾病活动指数(AI)之间的相关性。本横断面研究纳入了 2010 年至 2016 年间在匈牙利儿科 IBD 注册中心登记的新诊断为 IBD 的儿科患者。分析了体重、体重指数(BMI)、身高体重比和理想体重百分比(IBW%)。进行 Pearson 线性和非线性相关性以及多项式回归分析,以评估营养状况与 AI 之间的相关性。p 值<0.05 被认为具有统计学意义。对 1027 例 IBD 患儿(克罗恩病(CD):699 例;溃疡性结肠炎(UC):328 例;平均年龄 13.7 岁)的人体测量数据进行了分析。与 BMI 相比,IBW%在 CD(7.02% vs. 2.28%)和 UC(12.17% vs. 5.48%)中识别出更多肥胖的患者。在 CD 中,人体测量参数与 AI 之间存在显著的负相关。相比之下,多项式回归分析显示 UC 中 IBW%与 AI 之间呈 U 型相关曲线。我们的研究结果表明,肥胖与儿科 UC 中的疾病活动呈双模态相关。此外,IBW%更有助于识别肥胖的 IBD 儿科患者。