A latent profile analysis based on diet quality and eating behaviours in participants of the PREDISE study characterized by a higher BMI

去抑制 腰围 代谢综合征 心理学 血脂谱 人口 医学 体质指数 年轻人 临床心理学 肥胖 内科学 精神科 胆固醇 环境卫生
作者
B R Boulanger,Catherine Bégin,Alexandra Bédard,Julia Lévy-Ndejuru,Élise Carbonneau,B R Boulanger
出处
期刊:Applied Physiology, Nutrition, and Metabolism [NRC Research Press]
卷期号:49 (7): 966-978
标识
DOI:10.1139/apnm-2023-0443
摘要

The aim of this study was to identify eating-related latent profiles based on diet quality and eating behaviours within a population characterized by a body mass index (BMI) of at least 25 kg/m 2 , and to compare metabolic variables between profiles. This analysis was conducted in a sample of 614 adults (45.6% women; 44.8 ± 12.9 years) from the cross-sectional PREDISE study. Participants completed the Three-Factor Eating Questionnaire, the Intuitive Eating Scale-2, the Regulation of Eating Behavior Scale, and three self-administered 24 h food recalls. Waist circumference, blood lipids, blood pressure, and fasting glucose were measured to identify carriers of the metabolic syndrome. A latent profile analysis was performed, and cases of metabolic syndrome were compared between profiles. A three-profile solution was found. Profile 1 (22.8%) was characterized by lower diet quality, lower self-determined motivation for eating, lower restraint, and higher intuitive eating. Profile 2 (44.5%) was characterized by higher diet quality, higher self-determined motivation for eating, higher restraint, lower disinhibition, and higher intuitive eating. Profile 3 (32.7%) was characterized by intermediate diet quality, higher non-self-determined motivation for eating, higher restraint and disinhibition, and lower intuitive eating. We found fewer cases of metabolic syndrome among participants in profile 2 than in the other profiles ( p = 0.0001). This study suggests that a profile characterized by a lower disinhibition and higher levels of restraint, intuitive eating, self-determined motivation, and diet quality is associated with a better metabolic health among individuals with a higher BMI.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
熊佳璇发布了新的文献求助20
刚刚
嗖一下十分爽完成签到,获得积分10
刚刚
刚刚
zzzz发布了新的文献求助10
1秒前
song发布了新的文献求助10
2秒前
zzzz发布了新的文献求助10
2秒前
zzzz发布了新的文献求助10
2秒前
煜城完成签到 ,获得积分10
2秒前
zzzz发布了新的文献求助10
2秒前
zzzz发布了新的文献求助10
2秒前
zzzz发布了新的文献求助10
2秒前
arniu2008应助wwpapple采纳,获得20
3秒前
3秒前
吃口小H堡关注了科研通微信公众号
3秒前
3秒前
4秒前
4秒前
英姑应助刘迪采纳,获得10
4秒前
4秒前
4秒前
淡淡的天宇完成签到,获得积分10
4秒前
4秒前
4秒前
霸王龙关注了科研通微信公众号
5秒前
5秒前
6秒前
zzzz发布了新的文献求助10
6秒前
zzzz发布了新的文献求助10
6秒前
zzzz发布了新的文献求助10
6秒前
zzzz发布了新的文献求助10
6秒前
zzzz发布了新的文献求助10
6秒前
zzzz发布了新的文献求助10
6秒前
6秒前
小飞机完成签到,获得积分10
6秒前
8秒前
cm5257发布了新的文献求助10
9秒前
9秒前
9秒前
zzzz发布了新的文献求助10
10秒前
梨水儿完成签到 ,获得积分10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Structural Analysis 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7351888
求助须知:如何正确求助?哪些是违规求助? 8963335
关于积分的说明 19041531
捐赠科研通 7001087
什么是DOI,文献DOI怎么找? 3221429
关于科研通互助平台的介绍 2385864
邀请新用户注册赠送积分活动 2201866