Evidence map›Paper›PMID 37574495›Full record

ArticleScientific reports2023

The association between dietary pattern and visceral adiposity index, triglyceride-glucose index, inflammation, and body composition among Iranian overweight and obese women.

Fatemeh Gholami, Zahra Karimi, Mahsa Samadi, Neda Sovied, Mir Saeid Yekaninejad, Seyed Ali Keshavarz, Gholamali Javdan, Niki Bahrampour, Alexei Wong, Cain C T Clark and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Associations Between Dietary Diversity Score and Adiposity Indexes in Obese AdolescentsJournal of clinical research in pediatric endocrinology · 2026
    Article
  2. Article
  3. 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

11 authors at 6 institutions in 3 countries.

Fatemeh GholamiDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box: 14155-6117, Tehran, Iran.
Zahra KarimiDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Science, Tehran, Iran.
Mahsa SamadiDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box: 14155-6117, Tehran, Iran.
Neda SoviedDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box: 14155-6117, Tehran, Iran.
Mir Saeid YekaninejadDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Science, Tehran, Iran.
Seyed Ali KeshavarzDepartment of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
Gholamali JavdanFood Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Niki BahrampourDepartment of Nutrition, Science and Research Branch, Islamic Azad University (SRBIAU), Tehran, Iran.
Alexei WongDepartment of Health and Human Performance, Marymount University, Arlington, VA, USA.
Cain C T ClarkCentre for Intelligent Healthcare, Coventry University, Coventry, CV1 5FB, UK.
Khadijeh MirzaeiDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box: 14155-6117, Tehran, Iran. mirzaei_kh@tums.ac.ir.
Tehran University of Medical Sciences · IRUniversity of Tehran · IRHormozgan University of Medical Sciences · IRIntelligent Health (United Kingdom) · GBIslamic Azad University, Science and Research Branch · IRMarymount University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to investigate the association between dietary patterns, derived through latent class analysis (LCA), with visceral adiposity index (VAI), Triglyceride-Glucose Index (TyG), inflammation biomarkers, and body composition in overweight and obese Iranian women. For this cross-sectional study, dietary exposure was assessed using a validated 147-item semi-quantitative food frequency questionnaire (FFQ). Dietary patterns were derived through LCA. Binary logistic was performed to test the associations of dietary patterns with VAI, TyG, inflammation biomarkers, and body composition. Health centers in Tehran, Iran. 376 obese and overweight women, aged > 18 years. Two dietary patterns were identified using LCA modeling: healthy and unhealthy. Women in the unhealthy class were characterized by higher consumption of fast food, sweetened beverages, grains, unhealthy oils, butter and margarine, and snacks. Compared with the healthy class, the unhealthy class was associated with an increased risk of higher fasting blood sugar (FBS) (OR = 6.07; 95% CI: 1.33-27.74, P value = 0.02), c-reactive protein (CRP) (OR = 1.72; 95% CI: 1.05-2.80; P value = 0.02), and lower fat free mass index (FFMI) (OR = 0.56; 95% CI: 0.35-0.88, P value = 0.01), after adjusting for confounders. We found that adherence to an unhealthy dietary pattern was associated with decreased FFMI and increased FBS and CRP using LCA, but not with the rest of the variables. Further studies should be conducted to confirm the veracity of these findings.

Indexed as

GlucoseOverweightAdiposityBiomarkersBody CompositionBody Mass IndexCross-Sectional StudiesDietFemaleHumansInflammationIranObesityObesity, AbdominalTriglyceridesBiomarkersGlucoseTriglycerides

Identifiers

PMID37574495
PMCPMC10423716
OpenAlexW4385787295

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.