Evidence map›Paper›PMID 39222262›Full record

ArticleEating and weight disorders : EWD2024

Dietary inflammatory index and its relationship with obesity phenotypes: a cross- sectional analysis from RaNCD cohort study.

Yahya Pasdar, Maryam Sharifi, Amir Saber, Davood Soleimani, Shima Moradi, Sahar Cheshmeh, Shahab Rezaeian, Farid Najafi

Abstract read
In one paragraph

Article in Eating and weight disorders : EWD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Yahya PasdarDepartment of Nutrition Sciences, Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Maryam SharifiStudent Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Amir SaberDepartment of Nutrition Sciences, Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Davood SoleimaniDepartment of Nutrition Sciences, Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Shima MoradiStudent Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran. shima.moradi1400@yahoo.com.
Sahar CheshmehMolecular and Experimental Nutritional Medicine Department, University of Potsdam, Nuthetal, Germany.
Shahab RezaeianInfectious Diseases Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Farid NajafiSchool of Public Health, Communing Developmental and Health Promotion Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Funding

Deputy for Research and Technology, Kermanshah University of Medical Sciences 4020512
6 · The paper itself

Abstract

purposeThe potential dietary inflammatory index (DII) and the phenomenon of obesity have been linked in recent studies, but it is unclear whether this connection is dependent on metabolic status. Therefore, it was thought that this research would be useful in establishing the relationship between obesity phenotypes and DII.

methodsThe 5956 people who took part in the Ravansar non-communicable diseases (RaNCD) cohort research (MHNO) were put into four groups: metabolically unhealthy obesity (MUO), metabolically healthy obesity (MHO), metabolically unhealthy non-obesity (MUNO), and metabolically healthy non-obesity. According to the International Diabetes Federation's criteria, MUO exhibits at least two metabolic disorders and have a body mass index of 30 kg/m2 or higher. DII was extracted from the participant's dietary consumption data.

resultsWhen possible confounders like age, gender, smoking, drinking alcohol, and exercise were taken into account, more adherence to DII was linked to a higher odds of MHO compared to MHNO (OR: 1.44; CI 95% 1.18, 1.75). Additionally, we discovered that greater adherence to DII was significantly related to higher odds for MUO compared to MHNO (OR: 1.67; CI 95% 1.3, 2.15). However, we found no association between adherence to DII and MUNO.

conclusionsOur findings indicated that greater adherence to DII was significantly associated with higher odds of MUO. However, it substantially increased the chances of both phenotypes of obesity. Level of evidence Level V-Cross-sectional observational study.

Indexed as

DietInflammationObesityPhenotypeAdultBody Mass IndexCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedObesity, Metabolically BenignDietary inflammatory indexMetabolically healthy obesityMetabolically unhealthy obesity

Identifiers

PMID39222262
PMCPMC11369041

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.