Evidence map›Paper›PMID 25649235›Full record

ArticleEuropean journal of clinical nutrition2015

Dietary patterns are associated with prevalence of fatty liver disease in adults.

Q Jia, Y Xia, Q Zhang, H Wu, H Du, L Liu, C Wang, H Shi, X Guo, X Liu and 9 more

Open access · bronzeAbstract read
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In one paragraph

Article in European journal of clinical nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% 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

51 citing papers in PubMed, 2 syntheses or guidelines pooled it, 100 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

19 authors at 3 institutions in 1 country.

Q JiaHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Y XiaNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Q ZhangHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
H WuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
H DuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
L LiuHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
C WangHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
H ShiHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
X GuoNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
X LiuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
C LiNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
S SunHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
X WangHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
H ZhaoHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
K SongHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
G HuangNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Y WuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
N CuiDepartment of Surgery, Tianjin Nankai Hospital, Tianjin, China.
K Niu1] Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China [2] Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Tianjin Medical University · CNTianjin Medical University General Hospital · CNTianjin Nankai Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesPrevious studies have indicated that higher levels of food consumption are associated with fatty liver disease (FLD), but few studies have investigated the relationship between this disease and different dietary patterns. The aim of this cross-sectional study was to examine the association between dietary patterns and FLD in adults. SUBJECTS/

methodsDietary intakes of participants in the Tianjin were assessed via questionnaire. Factor analysis was used to identify dietary patterns, and FLD was defined as having a FLD diagnosis using liver ultrasonography. Relationships between dietary patterns and FLD were assessed using multiple logistic regression analysis.

resultsFemale participants in the highest quartile of high-carbohydrate/sweet pattern scores had a 2.19-fold greater risk (95% confidence interval (CI), 1.40-3.46) of developing non-alcoholic FLD (NAFLD) than those in the lowest quartile after adjusting for confounding factors. No significant differences were found between any dietary pattern and NAFLD in males. In males, a significantly increasing trend of alcoholic FLD (AFLD) prevalence was associated with increasing high-protein/cholesterol pattern scores (P for trend = 0.03; odds ratio (OR), 2.08; 95% CI, 1.15-3.81) while an increased high-carbohydrate/sweet pattern score appeared protective against AFLD (P for trend = 0.02; OR, 0.55; 95% CI, 0.29-1.00).

conclusionsOur study demonstrates that high-protein/cholesterol pattern scores are associated with higher prevalence of AFLD in males. We also show high-carbohydrate/sweet pattern scores are associated with higher prevalence of NAFLD in females; but, interestingly, this pattern shows a favorable effect on AFLD in males.

Indexed as

EatingAdultChinaCross-Sectional StudiesDietDietary CarbohydratesDietary ProteinsDiet SurveysFactor Analysis, StatisticalFatty LiverFemaleHumansMaleMiddle AgedOdds RatioPrevalenceDietary CarbohydratesDietary Proteins

Identifiers

PMID25649235
OpenAlexW2085343911

What OpenQuestion holds

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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.