Evidence map›Paper›PMID 36100862›Full record

ArticleNutrition & metabolism2022

Associations of eating speed with fat distribution and body shape vary in different age groups and obesity status.

Saili Ni, Menghan Jia, Xuemiao Wang, Yun Hong, Xueyin Zhao, Liang Zhang, Yuan Ru, Fei Yang, Shankuan Zhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrition & metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  4. 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

9 authors.

Saili NiThe Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China.
Menghan JiaChronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, 866 Yu-hang-tang Road, Hangzhou, 310058, Zhejiang, China.
Xuemiao WangChronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, 866 Yu-hang-tang Road, Hangzhou, 310058, Zhejiang, China.
Yun HongProgram in Public Health, University of California, Irvine, CA, USA.
Xueyin ZhaoChronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, 866 Yu-hang-tang Road, Hangzhou, 310058, Zhejiang, China.
Liang ZhangDepartment of Health, Lanxi, Zhejiang, China.
Yuan RuChronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, 866 Yu-hang-tang Road, Hangzhou, 310058, Zhejiang, China.
Fei YangChronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, 866 Yu-hang-tang Road, Hangzhou, 310058, Zhejiang, China.
Shankuan ZhuChronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, 866 Yu-hang-tang Road, Hangzhou, 310058, Zhejiang, China. zsk@zju.edu.cn.ORCID https://orcid.org/0000-0002-9509-7364

Funding

China Medical Board Collaborating Program 12-108 and 15-216Cyrus Tang Foundation 419600-11102
6 · The paper itself

Abstract

backgroundEating speed has been reported to be associated with energy intake, body weight, waist circumference (WC), and total body fat. However, no study has explored the association between eating speed and body fat distribution, especially its difference among different age or body mass index (BMI) groups.

methods4770 participants aged 18-80 years were recruited from the baseline survey of the Lanxi Cohort Study. They were categorized into three groups according to meal duration. Linear regression analyses were performed among all participants and separately by age group and obesity status to evaluate the associations of WC and total and regional fat mass percentages (FM%) with eating speed.

resultsAfter adjusting for confounding factors, eating slowly was significantly related to lower WC, lower total, trunk, and android FM%, lower android-to-gynoid fat mass ratio, and higher leg and gynoid FM%. After stratification by age or obesity status, the associations were especially prominent among participants aged 18-44 years or those with BMI < 24 kg/m

conclusionsEating slowly is closely related with better fat distribution among Chinese adults, especially for those aged 18-44 years and those with BMI < 24 kg/m

Indexed as

AgeBody shapeEating speedFat distributionObesity

Identifiers

PMID36100862
PMCPMC9469611

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.