Evidence map›Paper›PMID 37560059›Full record

ArticleFrontiers in nutrition2023

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

Yan Lu, Jia Liu, Johnson Boey, Ruiying Hao, Guopeng Cheng, Wentan Hou, Xinhui Wu, Xuan Liu, Junming Han, Yuan Yuan and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yan LuDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Jia LiuDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Johnson BoeyDepartment of Podiatry, National University Hospital Singapore, Singapore, Singapore.
Ruiying HaoDepartment of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Guopeng ChengDepartment of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Wentan HouDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Xinhui WuDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Xuan LiuDepartment of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Junming HanDepartment of Biostatistics, School of Public Health, Shandong University, Jinan, Shandong, China.
Yuan YuanDepartment of Clinical Nutrition, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Li FengDepartment of Clinical Nutrition, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Qiu LiDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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, 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.

Indexed as

Chinese adultscross-sectional studyeating behaviorsrisk factorstype 2 diabetes mellitus

Identifiers

PMID37560059
PMCPMC10407090

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.