Evidence map›Paper›PMID 30445753›Full record

ArticleInternational journal of environmental research and public health2018

Eating Frequency Is Not Associated with Obesity in Chinese Adults.

Xinge Zhang, Yueqiao Wang, Jason S Brinkley, Theresa M Oniffrey, Rui Zhang, Guoxun Chen, Rui Li, Justin B Moore

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. 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
0.3field-weighted citation impact, top 39% of its field
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, 4 citations in OpenAlex.

  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

8 authors at 6 institutions in 2 countries.

Xinge ZhangSchool of Health Sciences, Wuhan University, Wuhan 430071, China. ylcz2920@126.com.
Yueqiao WangSchool of Health Sciences, Wuhan University, Wuhan 430071, China. elle529@126.com.
Jason S BrinkleyAbt Associates, Durham, NC 27703, USA. Jason_brinkley@abtassoc.com.
Theresa M OniffreyCerus Consulting, LLC, Winston-Salem, NC 27101, USA. toniffrey@gmail.com.
Rui ZhangCollege of Life Sciences, South-Central University for Nationalities, Wuhan 430074, China. zhangrui@mail.scuec.edu.cn.
Guoxun ChenDepartment of Nutrition, the University of Tennessee at Knoxville, Knoxville, TN 37996, USA. gchen6@utk.edu.
Rui LiSchool of Health Sciences, Wuhan University, Wuhan 430071, China. rli@whu.edu.cn.ORCID 0000-0001-7698-6927
Justin B MooreDepartment of Family & Community Medicine, Wake Forest School of Medicine, Wake Forest Baptist Medical Center, Medical Center Boulevard, Winston-Salem, NC 27157, USA. jusmoore@wakehealth.edu.ORCID 0000-0003-4059-0538
Wuhan University · CNAbt Global (United States) · USAtrium Health Wake Forest Baptist · USCerus (United States) · USSouth Central Minzu University · CNUniversity of Tennessee at Knoxville · US

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
NCATS NIH HHS UL1 TR001420
6 · The paper itself

Abstract

The prevalence of overweight and obesity has been increasing globally. Recent studies suggest that eating frequency (EF) might be a factor influencing the development of overweight and obesity. This study aims to explore the association between eating frequency and obesity in Chinese adults. A cross-sectional study was conducted in Wuhan, China, from March to June 2016. A self-administered questionnaire and 24-h dietary recall were used to collect data on sociodemographic variables, lifestyle factors, nutrition knowledge, and eating frequency. Participants were divided into four groups according to eating frequency and meal timing: traditional time pattern (TTP), traditional time plus late snack pattern (TTLSP), irregular time pattern (ITP), and all-day pattern (ADP). We performed the chi-squared test and multiple logistic regression to assess associations among variables using JMP statistical software version 14.0.0 (SAS Institute Inc., Cary, NC, USA). Respondents were Chinese adults (

Indexed as

Diet, HealthyFeeding BehaviorMealsAdultAgedChinaCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansLogistic ModelsMaleMiddle AgedNutrition SurveysObesityRisk Factorsadiposityeating frequencylifestyle factorsnutrition knowledgesociodemographic factors

Identifiers

PMID30445753
PMCPMC6266818
OpenAlexW2901718789

What OpenQuestion 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 OpenQuestion graph.