Evidence map›Paper›PMID 36609321›Full record

ArticleBMJ open2023

Dietary patterns and risk of non-alcoholic fatty liver disease in Korean adults: a prospective cohort study.

Jialei Fu, Sangah Shin

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
13.5field-weighted citation impact, top 1% 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

10 citing papers in PubMed, 31 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

2 authors at 1 institution in 1 country.

Jialei FuDepartment of Food and Nutrition, Chung Ang Universit, Anseong, Gyeonggi-do, Korea.
Sangah ShinDepartment of Food and Nutrition, Chung Ang Universit, Anseong, Gyeonggi-do, Korea ivory8320@cau.ac.kr.ORCID 0000-0003-0094-1014
Chung-Ang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDietary patterns can holistically provide insights into the association of food groups and nutrients with the disease. Several studies have evaluated the association of dietary patterns with the risk of non-alcoholic fatty liver disease (NAFLD) in Western populations. However, few studies focused on this topic were conducted on Korean adults. Therefore, in this cohort study, we aimed to investigate the association between dietary patterns and the risk of NAFLD among middle-aged Koreans.

designThe survey was performed at general hospitals and health examination centres in Korea. Dietary intake was assessed using a validated Food Frequency Questionnaire. The dietary patterns were identified using principal component analysis. The HR and 95% CI for NAFLD for each of the quartiles of the three dietary patterns were estimated using a Cox proportional hazards model.

settingSouth Korean Community.

participants44 460 healthy Koreans (aged 40-69 years) who completed a follow-up survey from 2012 to 2016 in the Health Examinees study were included.

resultsMen and women following a prudent pattern showed a 22% and 36% lower NAFLD risk, respectively (men: HR=0.78; women: HR=0.64). Men and women who highly adhered to the flour-based food and meat pattern had a 29% and 55% higher NAFLD risk, respectively (men: HR=1.29; women: HR=1.55).

conclusionThe prudent pattern induced a lower NAFLD risk, whereas the flour-based food and meat pattern induced a higher NAFLD risk. No significant difference was found between the white rice pattern and NAFLD risk.

Indexed as

Non-alcoholic Fatty Liver DiseaseAdultCohort StudiesDietFemaleHumansMaleMiddle AgedProspective StudiesRepublic of KoreaRisk Factorsepidemiologynutritionnutrition & dietetics

Identifiers

PMID36609321
PMCPMC9827268
OpenAlexW4313650289

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.