Lu Yan, Liu Jia, Boey Johnson, Hao Ruiying, Cheng Guopeng, Hou Wentan, Wu Xinhui, Liu Xuan, Han Junming, Yuan Yuan, Feng Li, Li Qiu
Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Front Nutr. 2023 Jul 25;10:1205780. doi: 10.3389/fnut.2023.1205780. eCollection 2023.
This study aimed to evaluate the relationship between eating speed and food temperature and type 2 diabetes mellitus (T2DM) in the Chinese population.
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.
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, < 0.001), age (OR = 1.091, 95% CI: 1.075-1.107, < 0.001), BMI (OR = 1.238, 95% CI: 1.034-1.483, = 0.020), familial history of T2DM (OR = 5.709, 95% CI: 3.963-8.224, < 0.001), consumption of hot food (OR = 4.132, 95% CI: 2.899-5.888, < 0.001), consumption of snacks (OR = 1.745, 95% CI: 1.222-2.492, = 0.002), and eating speed (OR = 1.292, 95% CI:1.048-1.591, = 0.016) were risk factors for T2DM.
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.
本研究旨在评估中国人群进食速度、食物温度与2型糖尿病(T2DM)之间的关系。
2020年12月至2022年3月期间,在山东省立医院内分泌科进行了一项横断面调查。所有招募的参与者在招募时均被要求填写关于其饮食行为的结构化问卷。收集了临床人口统计学数据,如性别、年龄、身高、体重、T2DM家族史、T2DM患病率以及各种饮食行为。采用单因素和多因素逻辑回归分析来分析饮食行为与T2DM之间的关联。
本研究共纳入1040名中国成年人,其中344人患有T2DM,696人未患T2DM。对总体人群进行多因素逻辑回归分析显示,性别(OR = 2.255,95% CI:1.559 - 3.260,P < 0.001)、年龄(OR = 1.091,95% CI:1.075 - 1.107,P < 0.001)、体重指数(BMI)(OR = 1.238,95% CI:1.034 - 1.483,P = 0.020)、T2DM家族史(OR = 5.709,95% CI:3.963 - 8.224,P < 0.001)、食用热食(OR = 4.132,95% CI:2.899 - 5.888,P < 0.001)、食用零食(OR = 1.745,95% CI:1.222 - 2.492,P = 0.002)以及进食速度(OR = 1.292,95% CI:1.048 - 1.591,P = 0.016)是T2DM的危险因素。
除了性别、年龄、BMI、T2DM家族史等传统危险因素外,与中国文化相关的饮食行为,包括食用热食、食用零食和进食速度快,已被证明可能是T2DM的危险因素。