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1
Adolescent eating behaviors in the UAE: Time to intervene.阿联酋青少年的饮食行为:是时候进行干预了。
J Family Med Prim Care. 2021 Aug;10(8):2998-3004. doi: 10.4103/jfmpc.jfmpc_267_21. Epub 2021 Aug 27.
2
Examining the validity and consistency of the Adult Eating Behaviour Questionnaire-Español (AEBQ-Esp) and its relationship to BMI in a Mexican population.探讨成人饮食行为问卷-西班牙语版(AEBQ-Esp)在墨西哥人群中的有效性和一致性及其与 BMI 的关系。
Eat Weight Disord. 2022 Mar;27(2):651-663. doi: 10.1007/s40519-021-01201-9. Epub 2021 May 8.
3
Confirmation of the Factor Structure and Reliability of the 'Adult Eating Behavior Questionnaire' in an Adolescent Sample.青少年样本中“成人饮食行为问卷”的因子结构及信度验证
Front Psychol. 2019 Oct 4;10:1991. doi: 10.3389/fpsyg.2019.01991. eCollection 2019.
4
Get lean and go green: Role for "Eat-ology" behavior modification.追求健康与环保:“饮食学”行为改变的作用。
J Family Med Prim Care. 2019 May;8(5):1546-1549. doi: 10.4103/jfmpc.jfmpc_177_19.
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Biological Response to Meal Ingestion: Gender Differences.进食后的生物学反应:性别差异。
Nutrients. 2019 Mar 26;11(3):702. doi: 10.3390/nu11030702.
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Nutrients. 2018 Dec 27;11(1):50. doi: 10.3390/nu11010050.
7
Can Mindfulness Address Maladaptive Eating Behaviors? Why Traditional Diet Plans Fail and How New Mechanistic Insights May Lead to Novel Interventions.正念能解决不良饮食行为吗?传统饮食计划为何失败以及新的机制性见解如何引领新的干预措施。
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8
The Three-Factor Eating Questionnaire-R21: a confirmatory factor analysis in a Portuguese sample.三因素饮食问卷-R21:葡萄牙样本的验证性因子分析。
Eat Weight Disord. 2020 Feb;25(1):247-256. doi: 10.1007/s40519-018-0561-7. Epub 2018 Aug 28.
9
Association between self-reported eating speed and metabolic syndrome in a Beijing adult population: a cross-sectional study.自我报告的进食速度与北京成年人代谢综合征的相关性:一项横断面研究。
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The Reliability and Validity of the Persian Version of Three-Factor Eating Questionnaire-R18 (TFEQ-R18) in Overweight and Obese Females.三因素饮食问卷-R18(TFEQ-R18)波斯语版本在超重和肥胖女性中的信效度研究
Iran J Psychiatry. 2017 Apr;12(2):100-108.

开发新型饮食错误评分工具以评估阿联酋人群中的成人群食行为异常

Development of Novel Eating Error Scoring Tool to Evaluate Adult Eating Behavior Anomalies Among the United Arab Emirates Population.

作者信息

Abouchacra Samra, AlKaabi Juma, Nair Satish Chandrasekhar, Abdulle Abdishakur, Taha Mazen, Ismail Mohamad Milad, Askheta Mazen, El Houni Ali, Bairy Kurady, Bhat Raghavendra, Abdul Salam Al Sayadi Thekra, Abouchacra Oudi, Al Baloushi Durra, Al Nasseri Asma, Gebran Nicole, Yaman Omar, Sharma Charu

机构信息

Nephrology, Al Ain Hospital, Al Ain, ARE.

Endocrinology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, ARE.

出版信息

Cureus. 2022 Jun 5;14(6):e25679. doi: 10.7759/cureus.25679. eCollection 2022 Jun.

DOI:10.7759/cureus.25679
PMID:35812552
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9257266/
Abstract

Introduction Maladaptive eating behaviors are emerging as the most significant determinants of obesity with a promising role in intervention. In the absence of a standardized tool to assess eating variations, an Eating Error Score (EES) tool was devised which comprised five zones for evaluating the severity of obesogenic behaviors as well as the specific area(s) with the highest susceptibility. This pilot study was aimed at evaluating the effectiveness of the EES in quantitating the eating behavior errors associated with excess weight and identifying the most affected zones. Methods The EES questionnaire was designed to explore potential disturbances in five zones of eating behavior related to the impetus to eat (Munger), meal choices and attentiveness to cravings (Impulsive), consumption speed (Speed feeding), cues to stop ingestion (Indulgent) and the social aspect of eating (Relationship). The questionnaire was conducted on adults with varying body mass index (BMI) attending governmental outpatient clinics. The correlation between EES and BMI was determined through Pearson Coefficient. Results A total of 204 participants completed the EES questionnaire. There were 72 males and 132 females with a mean BMI of 27.63 ± 6.16 kg/m and with nearly equal distribution between normal weight (37.2%), overweight (32.4%), and obese (29.4%) individuals. Nearly 75% of our cohort had a moderate total EES, and the remainder was equally distributed between the mild and severe ranges. A weak but significant correlation was observed between total EES and BMI (r=0.275, p<0.001) suggesting increasing obesogenic styles in participants with excess weight. In addition, a similar weak but significant correlation was noted between Body Mass Index and the Munger and Impulsive zones (r=0.266 and 0.258 and p<0.001, respectively) suggesting more severe maladaptive eating behaviors in these areas. No correlation was found with the Speed feeding, Indulgent, and Relationship zones. Conclusion The EES may be a useful tool for assessing the extent of maladaptive eating behaviors, which predispose individuals to weight gain and sabotage their weight loss efforts. Undoubtedly, the utility of the tool needs to be corroborated in large population studies. Further, identifying the specific operant zones may show promise as many of these habits are potentially modifiable and can be targeted for weight control, most notably those associated with the Munger and Impulsive zones.

摘要

引言

适应不良的饮食行为正逐渐成为肥胖的最重要决定因素,在干预方面具有重要作用。由于缺乏评估饮食差异的标准化工具,因此设计了一种饮食错误评分(EES)工具,该工具包括五个区域,用于评估致肥胖行为的严重程度以及最易受影响的特定区域。这项初步研究旨在评估EES在量化与超重相关的饮食行为错误以及确定受影响最大的区域方面的有效性。

方法

EES问卷旨在探索与进食动力(芒格)、食物选择和对渴望的关注(冲动)、进食速度(快速进食)、停止进食的提示(放纵)以及饮食的社交方面(关系)相关的五个饮食行为区域中的潜在干扰因素。该问卷针对在政府门诊就诊的不同体重指数(BMI)的成年人进行。通过皮尔逊系数确定EES与BMI之间的相关性。

结果

共有204名参与者完成了EES问卷。其中男性72名,女性132名,平均BMI为27.63±6.16kg/m²,正常体重(37.2%)、超重(32.4%)和肥胖(29.4%)个体的分布几乎相等。近75%的研究对象总EES为中度,其余在轻度和重度范围内平均分布。总EES与BMI之间存在弱但显著的相关性(r=0.275,p<0.001),表明超重参与者的致肥胖方式增加。此外,体重指数与芒格和冲动区域之间也存在类似的弱但显著的相关性(分别为r=0.266和0.258,p<0.001),表明这些区域存在更严重的适应不良饮食行为。在快速进食、放纵和关系区域未发现相关性。

结论

EES可能是评估适应不良饮食行为程度的有用工具,这些行为会使个体易患体重增加并破坏其减肥努力。毫无疑问,该工具的实用性需要在大规模人群研究中得到证实。此外,确定特定的操作区域可能很有前景,因为这些习惯中的许多都有可能被改变,并且可以作为体重控制的目标,最明显的是那些与芒格和冲动区域相关的习惯。