与双能x线吸收仪相比,在生活方式干预期间,生物电阻抗有效地监测肥胖儿童和青少年身体成分的纵向变化。

IF 3.4 3区 医学 Q2 NUTRITION & DIETETICS
Nutrition Research Pub Date : 2025-01-01 Epub Date: 2024-11-14 DOI:10.1016/j.nutres.2024.11.003
Camilla Raaby Benjaminsen, Rasmus Møller Jørgensen, Esben Thyssen Vestergaard, Jens Meldgaard Bruun
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引用次数: 0

摘要

准确和有效的身体成分评估对于诊断和监测临床和研究环境中的儿童肥胖至关重要。本研究评估了生物电阻抗分析(BIA)和双能x线吸收仪(DXA)在评估肥胖儿童和青少年长期生活方式干预期间身体成分及其变化方面的一致性。我们假设BIA在追踪该人群身体成分的纵向变化方面与DXA相当。该研究纳入了92名5 ~ 17岁(平均10.5±2.9岁)的儿童和青少年,在测量时被归类为肥胖(体重指数-标准差评分≥2 SD)。从2014年1月1日至2017年12月31日,他们参加了兰德斯地区医院的生活方式干预。基线和随访时(平均20.5±9.3个月)采用BIA和DXA评估体成分。使用Bland-Altman图、相关分析和一致性分析来评估方法之间的一致性。Bland-Altman图显示,在脂肪质量(FM)、FM%、无脂肪质量(FFM)和FFM%的纵向变化(分别为0.39 kg (CI -0.14, 0.93)、-0.39% (CI -1.06, 0.26)、-0.21 kg (CI -0.73, 0.31)和0.39% (CI -0.27, 1.05))方面,一致性范围很广,没有显著偏差。FM、FM%、FFM和FFM%变化的相关系数分别为0.93、0.83、0.88和0.83。在横断面评估中,与DXA相比,BIA低估了FM和FM%,高估了FFM和FFM%。最后,BIA有效地监测了儿童肥胖人群群体水平上身体成分的纵向变化。然而,个人评估需要谨慎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compared to dual-energy X-ray absorptiometry, bioelectrical impedance effectively monitors longitudinal changes in body composition in children and adolescents with obesity during a lifestyle intervention.

Accurate and efficient body composition assessment is essential for diagnosing and monitoring childhood obesity in clinical and research settings. This study evaluated the agreement between bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA) in assessing body composition and its changes during a long-term lifestyle intervention in children and adolescents with obesity. We hypothesized that BIA is comparable to DXA in tracking longitudinal changes in body composition in this population. The study included 92 children and adolescents 5 to 17 years of age (mean 10.5 ± 2.9 years) classified as obese at the time of measurement (body mass index-standard deviation score ≥ 2 SD). From January 1, 2014, to December 31, 2017, they participated in a lifestyle intervention at Randers Regional Hospital. Body composition was assessed using BIA and DXA at baseline and follow-up (mean 20.5 ± 9.3 months). Bland-Altman plots, correlation- and concordance analyses were used to evaluate the agreement between methods. Bland-Altman plots demonstrated wide limits of agreement without significant bias for longitudinal changes in fat mass (FM), FM%, fat-free mass (FFM), and FFM% (0.39 kg (CI -0.14, 0.93), -0.39% (CI -1.06, 0.26), -0.21 kg (CI -0.73, 0.31), and 0.39% (CI -0.27, 1.05), respectively). Correlations between methods for changes in FM, FM%, FFM, and FFM% were 0.93, 0.83, 0.88, and 0.83, respectively. In cross-sectional assessments, BIA underestimated FM and FM% and overestimated FFM and FFM% compared to DXA. Conclusively, BIA effectively monitors longitudinal changes in body composition at a group level in a pediatric population with obesity. However, caution is needed for individual assessments.

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来源期刊
Nutrition Research
Nutrition Research 医学-营养学
CiteScore
7.60
自引率
2.20%
发文量
107
审稿时长
58 days
期刊介绍: Nutrition Research publishes original research articles, communications, and reviews on basic and applied nutrition. The mission of Nutrition Research is to serve as the journal for global communication of nutrition and life sciences research on diet and health. The field of nutrition sciences includes, but is not limited to, the study of nutrients during growth, reproduction, aging, health, and disease. Articles covering basic and applied research on all aspects of nutrition sciences are encouraged, including: nutritional biochemistry and metabolism; metabolomics, nutrient gene interactions; nutrient requirements for health; nutrition and disease; digestion and absorption; nutritional anthropology; epidemiology; the influence of socioeconomic and cultural factors on nutrition of the individual and the community; the impact of nutrient intake on disease response and behavior; the consequences of nutritional deficiency on growth and development, endocrine and nervous systems, and immunity; nutrition and gut microbiota; food intolerance and allergy; nutrient drug interactions; nutrition and aging; nutrition and cancer; obesity; diabetes; and intervention programs.
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