Appetite Control and Energy Balance Research Group (ACEB), School of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, UK.
School of Food Science & Nutrition, University of Leeds, Leeds, UK.
Obes Rev. 2023 Jan;24(1):e13515. doi: 10.1111/obr.13515. Epub 2022 Oct 28.
At present, it is unclear whether eating behavior traits (EBT) predict objectively measured short-term energy intake (EI) and longer-term energy balance as estimated by body mass index (BMI). This systematic review examined the impact of EBT on BMI and laboratory-based measures of EI in adults ( 18 years) in any BMI category, excluding self-report measures of EI. Articles were searched up until 28th October 2021 using MEDLINE, PsycINFO, EMBASE and Web of Science. Sixteen EBT were identified and the association between 10 EBT, EI and BMI were assessed using a random-effects meta-analysis. Other EBT outcomes were synthesized qualitatively. Risk of bias was assessed with the mixed methods appraisal tool. A total of 83 studies were included (mean BMI = 25.20 kg/m , mean age = 27 years and mean sample size = 70). Study quality was rated moderately high overall, with some concerns in sampling strategy and statistical analyses. Susceptibility to hunger (n = 6) and binge eating (n = 7) were the strongest predictors of EI. Disinhibition (n = 8) was the strongest predictor of BMI. Overall, EBT may be useful as phenotypic markers of susceptibility to overconsume or develop obesity (PROSPERO: CRD42021288694).
目前,尚不清楚饮食行为特征(EBT)是否可以预测通过体质量指数(BMI)估计的短期能量摄入(EI)和长期能量平衡。本系统评价检查了 EBT 对 BMI 和成年人( 18 岁)实验室测量的 EI 的影响(不包括 EI 的自我报告测量),纳入任何 BMI 类别的成年人。研究使用 MEDLINE、PsycINFO、EMBASE 和 Web of Science 进行了搜索,截至 2021 年 10 月 28 日。确定了 16 种 EBT,并使用随机效应荟萃分析评估了 10 种 EBT 与 EI 和 BMI 之间的关联。其他 EBT 结果则进行了定性综合。使用混合方法评估工具评估偏倚风险。共纳入 83 项研究(平均 BMI 为 25.20kg/m ,平均年龄为 27 岁,平均样本量为 70)。总体而言,研究质量评分中等偏高,但在抽样策略和统计分析方面存在一些问题。饥饿易感性(n = 6)和暴食(n = 7)是 EI 的最强预测因子。抑制失调(n = 8)是 BMI 的最强预测因子。总体而言,EBT 可能是作为易过度进食或肥胖的表型标志物有用(PROSPERO:CRD42021288694)。