Evidence map›Paper›PMID 33668801›Full record

ArticleNutrients2021

Association of Time-of-Day Energy Intake Patterns with Nutrient Intakes, Diet Quality, and Insulin Resistance.

Xiaoyun Song, Huijun Wang, Chang Su, Zhihong Wang, Feifei Huang, Jiguo Zhang, Wenwen Du, Xiaofang Jia, Hongru Jiang, Yifei Ouyang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

14 authors at 1 institution in 1 country.

Xiaoyun SongDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Huijun WangDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Chang SuDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Zhihong WangDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Feifei HuangDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0002-7496-4908
Jiguo ZhangDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0003-3266-8999
Wenwen DuDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Xiaofang JiaDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Hongru JiangDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Yifei OuyangDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Yun WangDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Li LiDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0003-2852-5426
Gangqiang DingDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Bing ZhangDepartment of Public Nutrition and Policy Standard, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Chinese Center For Disease Control and Prevention · CN

Funding

Nutrition-Related NCD Prevention Training in ChinaD43TW007709 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2006 to 2010
$723k
National Institutes of Health, USA ,NIH R01-HD30880, DK056350, R24 HD050924, and R01-HD38700National Key R&D Program of China 2019YFC1605100The Carolina Population Center, University of North Carolina at Chapel Hill P2CHD050924, T32HD007168The Fogarty International Center, USA, NIH D43TW007709 and D43TW009077The Ministry of Finance of the Republic of China 13103110700015005
6 · The paper itself

Abstract

Evidence shows time-of-day of energy intake are associated with health outcomes; however, studies of time-of-day energy patterns and their health implication are still lacking in the Asian population. This study aims to examine the time-of-day energy intake pattern of Chinese adults and to examine its associations with nutrient intakes, diet quality, and insulin resistance. Dietary data from three 24-h recalls collected during the 2015 China Health and Nutrition Survey (CHNS) were analyzed (

Indexed as

Circadian RhythmEnergy IntakeFeeding BehaviorInsulin ResistanceAdultDietFemaleHumansMaleMiddle AgedNutrition Surveysdiet qualityenergy intakeinsulin resistancelatent class analysis

Identifiers

PMID33668801
PMCPMC7996289
OpenAlexW3132972591

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.