Harvard T H Chan School of Public Health, Boston, MA, USA.
Universidad Marista de Mérida, Mérida, Mexico.
Lancet Glob Health. 2023 Mar;11 Suppl 1:S8. doi: 10.1016/S2214-109X(23)00093-1.
Considering the biological variation across subgroups during periods of growth, the role of non-nutritive sweeteners in weight-related outcomes among children and adolescents is unclear. We did a systematic review and meta-analysis to summarise the evidence on experimental and habitual consumption of non-nutritive sweeteners and prospective changes in BMI in paediatric populations.
We searched eligible (ie, lasting a minimum of 4 weeks) randomised controlled trials of the effect of non-nutritive sweeteners versus non-caloric or caloric comparators on BMI change and prospective cohort studies reporting multivariable-adjusted coefficients for non-nutritive sweetener intake and BMI in children (aged 2-9 years) and adolescents (aged 10-24 years). We generated pooled estimates using random effects meta-analysis and did secondary stratified analyses to explore heterogeneity by study-level and subgroup characteristics. We further evaluated the quality of the included evidence and classified industry-funded studies, or those whose authors were related to the food industry, as having potential conflicts of interest.
From 2789 results, we included five randomised controlled trials (n=1498 participants; median follow-up 19·0 weeks [IQR 13·0-37·5]); three [60%] with potential conflicts of interest), and eight prospective cohort studies (n=35 340 participants; median follow-up 2·5 years [IQR 1·7-6·3]; two [25%] with potential conflicts of interest). Random allocation to intake of non-nutritive sweeteners (25-2400 mg/day, from food and beverages) suggested less BMI gain (standardised mean difference -0·42 kg/m [95% CI -0·79 to -0·06]; I=89%) compared with intake of sugar from food and beverages. Stratified estimates were significant only in adolescents, participants with obesity at baseline, consumers of a mixture of non-nutritive sweeteners, longer trials, and trials not found to have potential conflicts of interest. No randomised controlled trials tested beverages containing non-nutritive sweeteners versus water. Prospective cohorts reported a non-significant association between consumption of beverages containing non-nutritive sweeteners and BMI gain (0·05 kg/m [95% CI -0·02 to 0·12]; I=67%; per daily serving of 355 mL), which was accentuated for adolescents, boys, and cohorts with longer follow-ups. Removing studies with potential conflicts of interest attenuated the estimates. Evidence was predominantly classified as of low to moderate quality.
Intake of non-nutritive sweeteners versus sugar in randomised controlled trials resulted in less BMI gain in adolescents and participants with obesity. Better designed studies should contrast beverages containing non-nutritive sweeteners with water. Long-term prospective analyses with changes in repeated measures might clarify the effect of intake of non-nutritive sweeteners on BMI changes in childhood and adolescence.
None.
考虑到生长过程中亚组间的生物学差异,非营养性甜味剂在儿童和青少年体重相关结局中的作用尚不清楚。我们进行了系统评价和荟萃分析,以总结关于非营养性甜味剂的实验和习惯性摄入以及儿科人群中 BMI 前瞻性变化的证据。
我们搜索了(即至少持续 4 周)非营养性甜味剂与非热量或热量对照剂对 BMI 变化影响的随机对照试验,以及报告了儿童(2-9 岁)和青少年(10-24 岁)中多变量调整的非营养性甜味剂摄入量和 BMI 前瞻性队列研究。我们使用随机效应荟萃分析生成汇总估计,并进行二次分层分析,以根据研究水平和亚组特征探索异质性。我们进一步评估了纳入证据的质量,并将利益相关方为食品行业的研究或作者与食品行业有关的研究归类为具有潜在利益冲突的研究。
从 2789 项研究结果中,我们纳入了五项随机对照试验(n=1498 名参与者;中位随访时间 19.0 周[IQR 13.0-37.5]);其中三项研究存在潜在利益冲突),以及八项前瞻性队列研究(n=35340 名参与者;中位随访时间 2.5 年[IQR 1.7-6.3];其中两项研究存在潜在利益冲突)。与从食物和饮料中摄入糖相比,随机分配摄入非营养性甜味剂(25-2400mg/天,来自食物和饮料)提示 BMI 增长较少(标准化均数差-0.42kg/m[95%CI-0.79 至-0.06];I=89%)。分层估计仅在青少年、基线肥胖参与者、非营养性甜味剂混合消费者、试验时间较长和未发现潜在利益冲突的试验中具有统计学意义。没有随机对照试验测试含有非营养性甜味剂的饮料与水的对比。前瞻性队列研究报告称,含有非营养性甜味剂的饮料摄入与 BMI 增长之间存在非显著关联(0.05kg/m[95%CI-0.02 至 0.12];I=67%;每天 355mL 份),在青少年、男孩和随访时间较长的队列中更为明显。去除具有潜在利益冲突的研究后,估计值会减弱。证据主要被归类为低到中等质量。
与随机对照试验中摄入糖相比,摄入非营养性甜味剂可使青少年和肥胖参与者的 BMI 增长减少。应设计更好的研究来对比含有非营养性甜味剂的饮料与水。通过重复测量的长期前瞻性分析可能会阐明摄入非营养性甜味剂对儿童和青少年 BMI 变化的影响。
无。