Evidence map›Paper›PMID 39143072›Full record

SynthesisNutrition & diabetes2024

Association between fast eating speed and metabolic dysfunction-associated steatotic liver disease: a multicenter cross-sectional study and meta-analysis.

Miao Zhang, Xiaoyang Sun, Xiaopeng Zhu, Lili Zheng, Yufang Bi, Qiang Li, Lirong Sun, Fusheng Di, Yushan Xu, Dalong Zhu and 9 more

Abstract readMeta-AnalysisMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Nutrition & diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Targeting Habitual Fast Eating as a Modifiable Risk Factor for Type 2 Diabetes: A Propensity Score-Matched Analysis.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
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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

19 authors.

Miao Zhang *Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaoyang Sun *Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaopeng Zhu *Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Lili ZhengDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yufang BiShanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine Tumors of Ministry of Shanghai, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Qiang LiDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Lirong SunKey Laboratory of Hormones and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Fusheng DiDepartment of Endocrinology and Metabolism, The Third Central Hospital of Tianjin, Tianjin, China.
Yushan XuDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Dalong ZhuDepartment of Endocrinology and Metabolism, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, Jiangsu, China.ORCID 0000-0002-1064-1261
Yanyan GaoDepartment of Endocrinology and Metabolism, Affiliated Hospital of Medical College, Qingdao University, Qingdao, China.
Yuqian BaoShanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Department of Endocrinology and Metabolism, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai, China.
Yao WangDepartment of Endocrinology and Metabolism, Zhongda Hospital Affiliated to Southeast University Medical School, Nanjing, China.
Lanjie HeEndocrine Testing Center, General Hospital of Ningxia Medical University, Yinchuan, China.
Chenmin FanDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Xin GaoDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Jian GaoDepartment of Clinical Nutrition, Zhongshan Hospital, Center of Clinical Epidemiology, EBM of Fudan University, Fudan University, Shanghai, China. gao.jian@zs-hospital.sh.cn.ORCID 0000-0003-4598-3920
Mingfeng XiaDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China. dr_xiamingfeng@163.com.ORCID 0000-0002-5650-0165
Hua BianDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China. zhongshan_bh@126.com.ORCID 0000-0001-8449-0665

Funding

Shanghai Municipal Health Bureau (Shanghai Municipal Public Health Bureau) 202240295Shanghai Science and Technology Development Foundation (Shanghai Science and Technology Development Fund) 22Y31900302Shanghai Science and Technology Development Foundation (Shanghai Science and Technology Development Fund) 23XD1423300Shanghai Science and Technology Development Foundation (Shanghai Science and Technology Development Fund) 82370870Zhongshan Hospital 2020ZSLC19Zhongshan Hospital 2020ZSLC58Zhongshan Hospital YJS-108-001
6 · The paper itself

Abstract

backgroundWith the fast pace of modern life, people have less time for meals, but few studies have examined the association between the habit of fast eating and metabolic diseases.

objectiveCombining the results of the current study and the prior ones, we aimed to investigate the possible relationship between fast eating and the risk of metabolic dysfunction-associated steatotic liver disease (MASLD).

methodsThis is a sub-analysis of a multicenter cross-sectional study of 1965 participants investigated the association between fast eating and MASLD in Chinese. Fast eating was defined as meal time less than five minutes and participants were divided into three categories based on their self-reported frequency of fast eating: ≤1 time/month, ≤1 time/week and ≥2 times/week. We further conducted a literature search for available studies published before November, 2023 as well as a meta-analysis to investigate the association between fast eating and MASLD.

resultsThe proportion of MASLD was 59.3%, 50.5%, and 46.2% in participants with fast eating ≥2 times/week, ≤1 time/week and ≤1 time/month, respectively (P for trend <0.001). The frequency of fast eating was independently associated with risk of MASLD after multiple adjustment for sex, age, demographics, smoking and drinking status, BMI and clinical metabolic parameters (OR, 1.29; 95%CI, 1.09-1.53). Participants who ate fast frequently (≥2 times/week) had 81% higher risk of MASLD (P = 0.011). A meta-analysis of five eligible studies confirmed that frequent fast eating was associated with increased risk of MASLD (pooled OR, 1.22; 95%CI, 1.07-1.39).

conclusionsFrequent fast eating was associated with an increased risk of MASLD.

Indexed as

Feeding BehaviorAdultChinaCross-Sectional StudiesFatty LiverFemaleHumansMaleMealsMetabolic DiseasesMiddle AgedRisk FactorsTime Factors

Identifiers

PMID39143072
PMCPMC11324733

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Registered trials

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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 OpenQuestion graph.