School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia.
Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia.
PLoS One. 2023 Jan 26;18(1):e0279567. doi: 10.1371/journal.pone.0279567. eCollection 2023.
Consumption of avocados has been suggested to be beneficial for weight control, however, limited research is available about the related food choices. Understanding the food choices associated with avocados at meal occasions may further aid behavioural strategies to lose weight. The present study used a systematic approach to develop an avocado-specific food database, with the aim to explore food choices related to avocados at meal occasions as reported by overweight and obese volunteers in weight loss clinical trials.
The avocado-specific database was based on AUSNUT 2011-13 food composition database structure and was developed via a systematic approach, which determined the avocado content of Australian foods and beverages. Baseline usual food intake data was retrospectively pooled from four food-based clinical trials (n = 758). The Apriori algorithm of association rules, a two-step descriptive method was used to identify food choices associated with avocados at different meal occasions using a nested hierarchical food group classification system.
The avocado database identified 34 avocados and avocado-containing foods and beverages. The proportion of avocado consumers in the pooled cohort was 51.3% (n = 389), with an average avocado intake of 21.57 ± 36.75 grams per day. Avocados were found to be closely related to other food groups at all of the food group levels at main meal occasions. A total of 68 food items containing avocados were identified for avocado consumers at the breakfast, lunch and dinner meals.
The avocado specific database provides a snapshot of the foods and beverages which contain avocados. Enumerating the full range of food choices in relation to avocado consumption should provide examples of food choices that people might consider in their efforts to increase their avocado consumption.
食用鳄梨被认为有助于控制体重，但关于相关食物选择的研究有限。了解与鳄梨相关的食物选择在餐食时可能会进一步帮助减肥的行为策略。本研究采用系统方法开发了一种鳄梨专用食品数据库，旨在探索超重和肥胖志愿者在减肥临床试验中报告的与鳄梨相关的餐食食物选择。
鳄梨专用数据库基于 AUSNUT 2011-13 食物成分数据库结构，并通过系统方法开发，该方法确定了澳大利亚食物和饮料中的鳄梨含量。从四项基于食物的临床试验（n=758）中回顾性汇集了基线常规食物摄入量数据。关联规则的 Apriori 算法，一种两步描述性方法，用于使用嵌套层次结构的食物分类系统，在不同餐食时识别与鳄梨相关的食物选择。
鳄梨数据库确定了 34 种鳄梨和含鳄梨的食物和饮料。在汇总队列中，鳄梨消费者的比例为 51.3%（n=389），平均每天摄入鳄梨 21.57±36.75 克。在主餐时，鳄梨与所有食物组级别的其他食物组都密切相关。在早餐、午餐和晚餐时，确定了 68 种含有鳄梨的食物。
鳄梨专用数据库提供了包含鳄梨的食物和饮料的快照。列举与鳄梨消费相关的所有食物选择范围应该可以为人们在努力增加鳄梨消费时考虑的食物选择提供示例。
