膳食支链氨基酸摄入与儿童青少年超重肥胖风险的关联分析

陈垚, 刘长青, 朱谦让, 刘怡娅, 田美娜, 于连龙

营养学报 ›› 2026, Vol. 48 ›› Issue (2) : 110-117.

营养学报 ›› 2026, Vol. 48 ›› Issue (2) : 110-117.
论著

膳食支链氨基酸摄入与儿童青少年超重肥胖风险的关联分析

  • 陈垚1, 刘长青2, 朱谦让3, 刘怡娅4, 田美娜2, 于连龙5
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ASSOCIATION BETWEEN DIETARY BRANCHED-CHAIN AMINO ACIDS INTAKE AND THE RISKS OF OVERWEIGHT AND OBESITY IN CHILDREN AND ADOLESCENTS

  • CHEN Yao1, LIU Chang-qing2, ZHU Qian-rang3, LIU Yi-ya4, TIAN Mei-na2, YU Lian-long5
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摘要

目的 探讨膳食支链氨基酸(branched-chain amino acids, BCAAs)摄入与儿童青少年超重肥胖风险的关系。方法 基于“中国儿童与乳母营养健康监测”数据纳入12 183名6~18岁儿童青少年,依据《学龄儿童青少年超重与肥胖筛查》(WS/T 586-2018)判定超重或肥胖;通过食物频率问卷结合3 d 24 h膳食回顾调查法评估膳食摄入,结合《中国食物成分表》计算BCAAs 摄入量;采用多因素Logistic回归方法分析不同BCAAs摄入水平与超重肥胖风险的关联并进行分层分析,通过限制性立方样条分析探索剂量-反应关系,应用LightGBM机器学习结合Shapley加性解释算法,明确BCAAs各组分重要性排序。结果 研究共纳入正常体重8974人(73.7%)、超重1650人(13.5%)、肥胖1559人(12.8%);调整混杂因素后,与BCAAs低摄入组相比,高摄入组发生超重(OR: 1.318, 95%CI: 1.141-1.523)、肥胖(OR: 1.596, 95%CI: 1.373-1.855)及超重或肥胖(OR: 1.442, 95%CI: 1.289-1.612)的风险均显著升高(P<0.01);分层分析显示,不同性别、年龄、体力活动及能量摄入各亚组中,BCAAs摄入与超重肥胖风险均呈正相关(P<0.01),且无显著交互效应(P>0.05);限制性立方样条分析发现,BCAAs摄入与超重肥胖风险间存在非线性关系(非线性P=0.001),拐点为8.38g/1000 kcal,低于该值时风险快速上升,超过拐点后增速放缓;机器学习分析进一步揭示,亮氨酸是BCAAs中驱动超重肥胖风险的首要组分。结论 膳食BCAAs摄入增加是儿童青少年超重肥胖的独立危险因素;优化膳食蛋白来源,控制高BCAAs食物摄入可能有助于降低儿童青少年超重肥胖风险。

Abstract

Objective To explore the association between dietary branched-chain amino acids (BCAAs) intake and the risks of overweight and obesity among children and adolescents. Methods A total of 12 183 children and adolescents aged 6~18 years were included based on data from the “China Children and Lactating Women Nutrition and Health Surveillance (CCLWNHS)”. Overweight and obesity were defined according to the “Screening for overweight and obesity among school-age children and adolescents” (WS/T 586-2018). Dietary intake was assessed using a food frequency questionnaire in combination with the 3-day 24-hour dietary recall method, and BCAAs intake was calculated based on the Chinese Food Composition Table. Multivariate logistic regression was employed to analyze the association between different BCAAs intake levels and the risks of overweight and obesity, with further stratified analyses conducted. Restricted cubic spline regression was used to explore the dose-response relationship. The LightGBM machine learning model was applied in combination with the SHAP algorithm to determine the importance ranking of the individual BCAAs components. Results The study included 8974 participants with normal weight (73.7%), overweight (13.5%), and obesity (12.8%). After adjusting for confounders, compared with the low BCAAs intake group, the high-intake group exhibited significantly increased risks of overweight (OR: 1.318, 95%CI: 1.141-1.523), obesity (OR: 1.596, 95%CI: 1.373-1.855), and overweight or obesity combined (OR: 1.442, 95%CI: 1.289-1.612) (all P<0.01). Stratified analyses revealed consistent positive associations between BCAAs intake and risks of overweight and obesity across all subgroups stratified by gender, age, physical activity, and energy intake (all P<0.01), with no significant interaction effects (all P>0.05). Restricted cubic spline analysis identified a nonlinear relationship (P for nonlinearity=0.001), with an inflection point at 8.38g/1000 kcal. Machine learning analysis further revealed that leucine was the primary component among BCAAs driving the risk of overweight and obesity. Conclusion Higher dietary BCAAs intake is an independent risk factor for overweight and obesity in children and adolescents. Optimizing dietary protein sources and limiting high-BCAAs foods may help mitigate the risks of overweight and obesity in children and adolescents.

关键词

支链氨基酸 / 超重 / 肥胖 / 儿童青少年

Key words

branched-chain amino acids / overweight / obesity / children and adolescents

引用本文

导出引用
陈垚, 刘长青, 朱谦让, 刘怡娅, 田美娜, 于连龙. 膳食支链氨基酸摄入与儿童青少年超重肥胖风险的关联分析[J]. 营养学报. 2026, 48(2): 110-117
CHEN Yao, LIU Chang-qing, ZHU Qian-rang, LIU Yi-ya, TIAN Mei-na, YU Lian-long. ASSOCIATION BETWEEN DIETARY BRANCHED-CHAIN AMINO ACIDS INTAKE AND THE RISKS OF OVERWEIGHT AND OBESITY IN CHILDREN AND ADOLESCENTS[J]. Acta Nutrimenta Sinica. 2026, 48(2): 110-117
中图分类号: R153.2   

参考文献

[1] Caprio S, Santoro N, Weiss R.Childhood obesity and the associated rise in cardiometabolic complica-tions[J]. Nat Metab, 2020,2:223–232.
[2] 洪烨, 傅君芬. 中国儿童肥胖健康报告与防控策略[J]. 中国儿童保健杂志, 2025,33:117–126.
[3] 梁心怿, 陈景楠, 周雪莲, 等. 儿童超重肥胖流行现况调查[J]. 中华儿科杂志, 2025,63:612–619.
[4] Ali A, Al-Ani O, Al-Ani F.Children's behaviour and childhood obesity[J]. Pediatr Endocrinol Diabetes Metab, 2024,30:148–158.
[5] Castro JA, Nunes HE, Silva DA.Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle[J]. Rev Paul Pediatr, 2016,34:343–351.
[6] Sacoto D, Hurtado MD, Acosta A.Precision medicine and obesity[J]. Handb Exp Pharmacol, 2022,274:467–485.
[7] Mansoori S, Ho MY, Ng KK, et al. Branched-chain amino acid metabolism: pathophysiological mechanism and therapeutic intervention in metabolic diseases[J]. Obes Rev, 2025,26:e13856.
[8] Bo T, Fujii J.Primary roles of branched chain amino acids (BCAAs) and their metabolism in physiology and metabolic disorders[J]. Molecules, 2024,30:56.
[9] Vizzuso S, Del Torto A, Dilillo D, et al. Visceral adiposity index (VAI) in children and adolescents with obesity: no association with daily energy intake but promising tool to identify metabolic syndrome (MetS)[J]. Nutrients, 2021,13:413.
[10] Bello-Chavolla OY, Antonio-Villa NE, Vargas-Vázquez A, et al. Metabolic score for visceral fat (METS-VF), a novel estimator of intra-abdominal fat content and cardio-metabolic health[J]. Clin Nutr, 2020,39: 1613-1621.
[11] Chen R, Ji L, Chen Y, et al. Weight-to-height ratio and body roundness index are superior indicators to assess cardio-metabolic risks in Chinese children and adolescents: compared with body mass index and a body shape index[J]. Transl Pediatr, 2022,11:318-329.
[12] 刘丹. 营养、家庭经济因素与儿童期及成年后肥胖关系的研究[D]. 北京:中国疾病预防控制中心营养与健康所, 2019.
[13] Liu D, Ju LH, Yang ZY, et al. Food frequency questionnaire for Chinese children aged 12-17 years: validity and reliability[J]. Biomed Environ Sci, 2019, 32:486-495.
[14] Rao S, Zhang Y, Xie S, et al. Dietary intake of branched-chain amino acids (BCAAs), serum BCAAs, and cardiometabolic risk markers among community-dwelling adults[J]. Eur J Nutr, 2024,63:1835–1845.
[15] Zhang Y, Rao S, Zhang X, et al. Dietary and circulating branched chain amino acids are unfavorably associated with body fat measures among Chinese adults[J]. Nutr Res, 2024,128:94–104.
[16] 中华人民共和国国家卫生和计划生育委员会. 学龄儿童青少年超重与肥胖筛查:WS/T 586—2018[S]. 北京:中国标准出版社,2018.
[17] Da Silva FMO, Pimenta AM, Juvanhol LL, et al. Obesity incidence according to branched-chain amino acid intake and plant-based diet index among Brazilian adults: a six-year follow-up of the CUME study[J]. Nutrients, 2025, 17:227.
[18] Asoudeh F, Salari-Moghaddam A, Keshteli AH, et al. Dietary intake of branched-chain amino acids in relation to general and abdominal obesity[J]. Eat Weight Disord, 2022,27:1303–1311.
[19] Soleimani E, Rashnoo F, Farhangi MA, et al. Dietary branched-chain amino acids intake, glycemic markers, metabolic profile, and anthropometric features in a community-based sample of overweight and obese adults[J]. BMC Endocr Disord, 2023,23:205.
[20] Segovia-Siapco G, Khayef G, Pribis P, et al. Animal protein intake is associated with general adiposity in adolescents: the teen food and development study[J]. Nutrients, 2019,12:110.
[21] Lu J, Gu Y, Liu H, et al. Daily branched-chain amino acid intake and risks of obesity and insulin resistance in children: a cross-sectional study[J]. Obesity (Silver Spring), 2020,28:1310–1316.
[22] Yang X, Li W, Li W, et al. Dietary intakes of branched chain amino acids and obesity risk among Chinese gestational diabetes women[J]. Front Nutr, 2024,11:1436450.
[23] Okekunle AP, Lee H, Provido SMP, et al. Dietary branched-chain amino acids and odds of obesity among immigrant Filipino women: the Filipino women’s diet and health study (FiLWHEL)[J]. BMC Public Health, 2022, 22:654.
[24] Shen QM, Tan YT, Wang J, et al. Cross-sectional relationships between general and central adiposity and plasma amino acids in Chinese adults[J]. Amino Acids, 2023,55:651–663.
[25] 程思, 巫婷, 余灿清, 等. 中国成年人BMI与血浆氨基酸和酰基肉碱水平关联的观察性和孟德尔随机化研究[J]. 中华流行病学杂志, 2024,45:770–778.
[26] Liu K, Borreggine R, Gallart-Ayala H, et al. Serum branched-chain amino acids are mainly associated with body mass index and waist circumference[J]. Nutr Metab Cardiovasc Dis, 2025,35:103880.
[27] McCormack SE, Shaham O, McCarthy MA, et al. Circulating branched-chain amino acid concentrations are associated with obesity and future insulin resistance in children and adolescents[J]. Pediatr Obes, 2013,8:52–61.
[28] Szczerbinski L, Wojciechowska G, Olichwier A, et al. Untargeted metabolomics analysis of the serum metabolic signature of childhood obesity[J]. Nutrients, 2022, 14:214.
[29] Bugajska J, Berska J, Wójcik M, et al. Amino acid profile in overweight and obese prepubertal children-can simple biochemical tests help in the early prevention of associated comorbidities?[J]. Front Endocrinol (Lausanne), 2023,14:1274011.
[30] Campos JO, Oliveira T, Vitalis O, et al. Association between childhood overweight and altered concentrations of circulating amino acids[J]. Nutrients, 2024,16:1843.
[31] Barati-Boldaji R, Esmaeilinezhad Z, Babajafari S, et al. Bariatric surgery reduces branched-chain amino acids' levels: a systematic review and meta-analysis[J]. Nutr Res, 2021,87:80–90.
[32] Hamaya R, Mora S, Lawler PR, et al. Association of modifiable lifestyle factors with plasma branched-chain amino acid metabolites in women[J]. J Nutr, 2022,152:1515–1524.
[33] Schmidt JA, Rinaldi S, Scalbert A, et al. Plasma concentrations and intakes of amino acids in male meat-eaters, fish-eaters, vegetarians and vegans: a cross-sectional analysis in the EPIC-Oxford cohort[J]. Eur J Clin Nutr, 2016,70:306–312.
[34] Ding C, Egli L, Bosco N, et al. Plasma branched-chain amino acids are associated with greater fasting and postprandial insulin secretion in non-diabetic Chinese adults[J]. Front Nutr, 2021,8:664939.
[35] Karusheva Y, Koessler T, Strassburger K, et al. Short-term dietary reduction of branched-chain amino acids reduces meal-induced insulin secretion and modifies microbiome composition in type 2 diabetes: a randomized controlled crossover trial[J]. Am J Clin Nutr, 2019,110:1098–1107.
[36] Ramzan I, Taylor M, Phillips B, et al. A novel dietary intervention reduces circulatory branched-chain amino acids by 50%: a pilot study of relevance for obesity and diabetes[J]. Nutrients, 2020,13:95.
[37] Shen QM, Wang J, Li ZY, et al. Sex-specific correlation analysis of branched-chain amino acids in dietary intakes and plasma among Chinese adults[J]. J Nutr, 2023,153:2709–2716.
[38] Solon-Biet SM, Cogger VC, Pulpitel T, et al. Branched-chain amino acids impact health and lifespan indirectly via amino acid balance and appetite control[J]. Nat Metab, 2019,1:532–545.
[39] Solon-Biet SM, Griffiths L, Fosh S, et al. Meta-analysis links dietary branched-chain amino acids to metabolic health in rodents[J]. BMC Biol, 2022,20:19.
[40] Abdualkader AM, Karwi QG, Lopaschuk GD, et al. The role of branched-chain amino acids and their downstream metabolites in mediating insulin resistance[J]. J Pharm Pharm Sci, 2024,27:13040.
[41] Vanweert F, Schrauwen P, Phielix E.Role of branched-chain amino acid metabolism in the pathogenesis of obesity and type 2 diabetes-related metabolic disturbances BCAA metabolism in type 2 diabetes[J]. Nutr Diabetes, 2022,12:35.
[42] Dimou A, Tsimihodimos V, Bairaktari E. The critical role of the branched chain amino acids (BCAAs) catabolism-regulating enzymes, branched-chain aminotransferase (BCAT) and branched-chain α-keto acid dehydrogenase (BCKD), in human pathophysiology[J].Int J Mol Sci, 2022,23:4022.
[43] Brown Z, Yoneshiro T.Brown fat thermogenesis and branched-chain amino acids in metabolic disease[J]. Endocr J, 2024,71:89–100.
[44] Anderson JG, Hintze K, Marchant ED.Restricting branched-chain amino acids: an approach to improve metabolic health[J]. J Physiol, 2018,596:2469–2470.
[45] Zhang L, Xu Z, Qin S, et al. Dietary branched-chain amino acids restriction in high-fat diet-induced obese mice: effects on metabolic homeostasis, adipose inflammation, and gut microbiota[J]. J Nutr, 2025,155:2700–2710.

基金

山东省自然科学基金项目(No.ZR2023QH157); 国家卫生健康委公共营养与健康重点实验室开放课题(No.WLKFZ202505); (No.202519010527); 日照市自然科学基金(No.RZ2024ZR64); 日照市社会科学研究课题(No.ZX2026108)

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