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Associations between eating speed and food temperature and type 2 diabetes mellitus: a cross-sectional study

OBJECTIVE: This study aimed to evaluate the relationship between eating speed and food temperature and type 2 diabetes mellitus (T2DM) in the Chinese population. METHODS: A cross-sectional survey was conducted between December 2020 to March 2022 from the department of Endocrinology at the Shandong P...

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Autores principales: Lu, Yan, Liu, Jia, Boey, Johnson, Hao, Ruiying, Cheng, Guopeng, Hou, Wentan, Wu, Xinhui, Liu, Xuan, Han, Junming, Yuan, Yuan, Feng, Li, Li, Qiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407090/
https://www.ncbi.nlm.nih.gov/pubmed/37560059
http://dx.doi.org/10.3389/fnut.2023.1205780
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author Lu, Yan
Liu, Jia
Boey, Johnson
Hao, Ruiying
Cheng, Guopeng
Hou, Wentan
Wu, Xinhui
Liu, Xuan
Han, Junming
Yuan, Yuan
Feng, Li
Li, Qiu
author_facet Lu, Yan
Liu, Jia
Boey, Johnson
Hao, Ruiying
Cheng, Guopeng
Hou, Wentan
Wu, Xinhui
Liu, Xuan
Han, Junming
Yuan, Yuan
Feng, Li
Li, Qiu
author_sort Lu, Yan
collection PubMed
description OBJECTIVE: This study aimed to evaluate the relationship between eating speed and food temperature and type 2 diabetes mellitus (T2DM) in the Chinese population. METHODS: A cross-sectional survey was conducted between December 2020 to March 2022 from the department of Endocrinology at the Shandong Provincial Hospital. All recruited participants were asked to complete structured questionnaires on their eating behaviors at the time of recruitment. Clinical demographic data such as gender, age, height, weight, familial history of T2DM, prevalence of T2DM and various eating behaviors were collected. Univariate and multivariate logistic regression analyses were used to analyze the associations between eating behaviors and T2DM. RESULTS: A total of 1,040 Chinese adults were included in the study, including 344 people with T2DM and 696 people without T2DM. Multivariate logistic regression analysis of the general population showed that gender (OR = 2.255, 95% CI: 1.559–3.260, p < 0.001), age (OR = 1.091, 95% CI: 1.075–1.107, p < 0.001), BMI (OR = 1.238, 95% CI: 1.034–1.483, p = 0.020), familial history of T2DM (OR = 5.709, 95% CI: 3.963–8.224, p < 0.001), consumption of hot food (OR = 4.132, 95% CI: 2.899–5.888, p < 0.001), consumption of snacks (OR = 1.745, 95% CI: 1.222–2.492, p = 0.002), and eating speed (OR = 1.292, 95% CI:1.048–1.591, p = 0.016) were risk factors for T2DM. CONCLUSION: In addition to traditional risk factors such as gender, age, BMI, familial history of T2DM, eating behaviors associated with Chinese culture, including consumption of hot food, consumption of snacks, and fast eating have shown to be probable risk factors for T2DM.
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spelling pubmed-104070902023-08-09 Associations between eating speed and food temperature and type 2 diabetes mellitus: a cross-sectional study Lu, Yan Liu, Jia Boey, Johnson Hao, Ruiying Cheng, Guopeng Hou, Wentan Wu, Xinhui Liu, Xuan Han, Junming Yuan, Yuan Feng, Li Li, Qiu Front Nutr Nutrition OBJECTIVE: This study aimed to evaluate the relationship between eating speed and food temperature and type 2 diabetes mellitus (T2DM) in the Chinese population. METHODS: A cross-sectional survey was conducted between December 2020 to March 2022 from the department of Endocrinology at the Shandong Provincial Hospital. All recruited participants were asked to complete structured questionnaires on their eating behaviors at the time of recruitment. Clinical demographic data such as gender, age, height, weight, familial history of T2DM, prevalence of T2DM and various eating behaviors were collected. Univariate and multivariate logistic regression analyses were used to analyze the associations between eating behaviors and T2DM. RESULTS: A total of 1,040 Chinese adults were included in the study, including 344 people with T2DM and 696 people without T2DM. Multivariate logistic regression analysis of the general population showed that gender (OR = 2.255, 95% CI: 1.559–3.260, p < 0.001), age (OR = 1.091, 95% CI: 1.075–1.107, p < 0.001), BMI (OR = 1.238, 95% CI: 1.034–1.483, p = 0.020), familial history of T2DM (OR = 5.709, 95% CI: 3.963–8.224, p < 0.001), consumption of hot food (OR = 4.132, 95% CI: 2.899–5.888, p < 0.001), consumption of snacks (OR = 1.745, 95% CI: 1.222–2.492, p = 0.002), and eating speed (OR = 1.292, 95% CI:1.048–1.591, p = 0.016) were risk factors for T2DM. CONCLUSION: In addition to traditional risk factors such as gender, age, BMI, familial history of T2DM, eating behaviors associated with Chinese culture, including consumption of hot food, consumption of snacks, and fast eating have shown to be probable risk factors for T2DM. Frontiers Media S.A. 2023-07-25 /pmc/articles/PMC10407090/ /pubmed/37560059 http://dx.doi.org/10.3389/fnut.2023.1205780 Text en Copyright © 2023 Lu, Liu, Boey, Hao, Cheng, Hou, Wu, Liu, Han, Yuan, Feng and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Lu, Yan
Liu, Jia
Boey, Johnson
Hao, Ruiying
Cheng, Guopeng
Hou, Wentan
Wu, Xinhui
Liu, Xuan
Han, Junming
Yuan, Yuan
Feng, Li
Li, Qiu
Associations between eating speed and food temperature and type 2 diabetes mellitus: a cross-sectional study
title Associations between eating speed and food temperature and type 2 diabetes mellitus: a cross-sectional study
title_full Associations between eating speed and food temperature and type 2 diabetes mellitus: a cross-sectional study
title_fullStr Associations between eating speed and food temperature and type 2 diabetes mellitus: a cross-sectional study
title_full_unstemmed Associations between eating speed and food temperature and type 2 diabetes mellitus: a cross-sectional study
title_short Associations between eating speed and food temperature and type 2 diabetes mellitus: a cross-sectional study
title_sort associations between eating speed and food temperature and type 2 diabetes mellitus: a cross-sectional study
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407090/
https://www.ncbi.nlm.nih.gov/pubmed/37560059
http://dx.doi.org/10.3389/fnut.2023.1205780
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