Evidence map›Paper›PMID 34447521›Full record

ArticleInternational journal of preventive medicine2021

Association between Dietary Inflammatory Index with Bioelectrical Impedance Parameters and Characteristics Health in Overweight/Obese Women: A Cross-Sectional Study.

Negin Badrooj, Seyed Ali Keshavarz, Mir Saeed Yekaninejad, Khadijeh Mirzaei

Open access · goldAbstract read
In one paragraph

Article in International journal of preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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

4 authors at 1 institution in 1 country.

Negin BadroojDepartment of Nutrition Science, Faculty of Science and Medical Technology, Islamic Azad University, Sciences and Research Branch, Tehran, Iran.
Seyed Ali KeshavarzDepartment of Nutrition Science, Faculty of Science and Medical Technology, Islamic Azad University, Sciences and Research Branch, Tehran, Iran.
Mir Saeed YekaninejadDepartment of Epidemiology and Biostatics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Khadijeh MirzaeiDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), PO Box 14155-6117, Tehran, Iran.
Tehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiet quality has been suggested as an important factor in disorders such as obesity and mental health as it controls inflammatory biomarkers. This study aimed to investigate the association between dietary inflammatory index (DII) with bioelectrical impedance parameters and characteristics of health in overweight\obese women.

methodsIn this cross-sectional study, we calculated DII for 301 participants from their food frequency questionnaire (FFQ). Body composition was assessed through a multifrequency bioelectrical impedance analyzer (BIA). Depression, anxiety and stress scale-21 (DASS-21) was used to assess the level of characteristics of health.

resultsThe mean percentage ± SD of fat-free mass (FFM) and fat mass (FM) was 46.81 ± 5.65 and 34.05 ± 8.69, respectively. In this study, 49% (95% CI: 40.8-57.2) of participants had positive DII. Linear regression analysis revealed that FFM (

conclusionsA significant relationship was found between DII with FFM and TBW in overweight\obese women, supporting the hypothesis that an anti-inflammatory diet is associated with elevated FFM and TBW.

Indexed as

Body compositioninflammationmental healthobesity

Identifiers

PMID34447521
PMCPMC8356945
OpenAlexW3192887111

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.