Evidence map›Paper›PMID 35276838›Full record

ArticleNutrients2022

Effects of Dietary Fat to Carbohydrate Ratio on Obesity Risk Depending on Genotypes of Circadian Genes.

Jinyoung Shon, Yerim Han, Yoon Jung Park

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. 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
1.3field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Current perspective on circadian function of the kidney.American journal of physiology. Renal physiology · 2024
    Review
  3. Review
  4. c-Jun N-terminal kinase signaling in aging.Frontiers in aging neuroscience · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. 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

3 authors at 1 institution in 1 country.

Jinyoung ShonDepartment of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Korea.ORCID 0000-0002-0602-6813
Yerim HanDepartment of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Korea.ORCID 0000-0002-7062-6485
Yoon Jung ParkDepartment of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Korea.ORCID 0000-0001-6999-4996
Ewha Womans University · KR

Funding

Brain Korea Four Project noneHyundai Motor Chung Mong-Koo Foundation noneNational Research Foundation of Korea 2020R1A6A3A13075729National Research Foundation of Korea 2021R1A2C2012578
6 · The paper itself

Abstract

Although the impacts of macronutrients and the circadian clock on obesity have been reported, the interactions between macronutrient distribution and circadian genes are unclear. The aim of this study was to explore macronutrient intake patterns in the Korean population and associations between the patterns and circadian gene variants and obesity. After applying the criteria, 5343 subjects (51.6% male, mean age 49.4 ± 7.3 years) from the Korean Genome and Epidemiology Study data and nine variants in seven circadian genes were analyzed. We defined macronutrient intake patterns by tertiles of the fat to carbohydrate ratio (FC). The very low FC (VLFC) was associated with a higher risk of obesity than the optimal FC (OFC). After stratification by the genotypes of nine variants, the obesity risk according to the patterns differed by the variants. In the female VLFC, the major homozygous allele of

Indexed as

Circadian ClocksDietary FatsAdultCarbohydratesFemaleGenotypeHumansMaleMiddle AgedObesityCarbohydratesDietary Fatscircadian genegenetic variantmacronutrient distributionobesitysingle nucleotide polymorphisms (SNPs)

Identifiers

PMID35276838
PMCPMC8838281
OpenAlexW4206920471

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.