Evidence map›Paper›PMID 34684489›Full record

ArticleNutrients2021

Trajectories of Energy Intake Distribution and Risk of Dyslipidemia: Findings from the China Health and Nutrition Survey (1991-2018).

Xiaoyun Song, Huijun Wang, Chang Su, Zhihong Wang, Wenwen Du, Feifei Huang, Jiguo Zhang, Xiaofang Jia, Hongru Jiang, Yifei Ouyang and 5 more

Abstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Cardiovascular Risk Factors in China.Journal of geriatric cardiology : JGC · 2024
    Article
  5. Article
  6. Article
  7. Article
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

15 authors.

Xiaoyun SongChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.
Huijun WangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.
Chang SuChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.
Zhihong WangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.
Wenwen DuChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.
Feifei HuangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.ORCID 0000-0002-7496-4908
Jiguo ZhangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.ORCID 0000-0003-3266-8999
Xiaofang JiaChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.
Hongru JiangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.
Yifei OuyangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.
Li LiChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.ORCID 0000-0003-2852-5426
Jing BaiChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.ORCID 0000-0001-6734-296X
Xiaofan ZhangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.
Gangqiang DingChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.
Bing ZhangChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing 100050, China.

Funding

Nutrition-Related NCD Prevention Training in ChinaD43TW007709 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2006 to 2010
$723k
Fogarty International Center, USA (NIH) D43TW007709 and D43TW009077National 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 Ministry of Finance of the Republic of China 13103110700015005
6 · The paper itself

Abstract

Few studies have examined the secular trend of energy intake distribution. This study aims to describe trajectories of energy intake distribution and determine their association with dyslipidemia risk. Data of 2843 adult participants from the China Health and Nutrition Survey (CHNS) were analyzed. Trajectory groups of energy intake distribution were identified by multi-trajectory model over 27 years. Multilevel mixed-effects modified Poisson regression with robust estimation of variance was used to calculate risk ratio for incident dyslipidemia in a 9-year follow-up. Four trajectory groups were identified: "Energy evenly distributed group" (Group 1), "Lunch and dinner energy dominant group" (Group 2), "Dinner energy dominant group" (Group 3), "breakfast and dinner energy dominant group" (Group 4). Compared with Group 1, Group 3 was associated with higher risk of dyslipidemia (RR = 1.48, 95% CI = 1.26, 1.75), hypercholesterolemia (RR = 1.96, 95% CI = 1.37, 2.81) and high low-density lipoproteins cholesterols (LDL-C) (RR = 2.41, 95% CI = 1.82, 3.20). A U-shape was observed between cumulative average proportion of dinner energy and dyslipidemia risk (

Indexed as

Energy IntakeMealsAsian PeopleChinaDietDyslipidemiasFeeding BehaviorFemaleHumansIncidenceMaleMiddle AgedMultilevel AnalysisNutrition SurveysOdds RatioPoisson Distributioncohortdyslipidemiaenergy intakemulti-trajectory model

Identifiers

PMID34684489
PMCPMC8538511

What OpenQuestion holds

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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.