Evidence map›Paper›PMID 29665770›Full record

ArticleBMC cardiovascular disorders2018

Dietary diversity score is associated with cardiovascular risk factors and serum adiponectin concentrations in patients with metabolic syndrome.

Mahdieh Abbasalizad Farhangi, Leila Jahangiry

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In one paragraph

Article in BMC cardiovascular disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Antioxidant Efficacy of aMarine drugs · 2022
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Mahdieh Abbasalizad FarhangiDrug Applied Research Center, Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. abbasalizad_m@yahoo.com.ORCID 0000-0002-7036-6900
Leila JahangiryTabriz Health Services Management Research Center, Health Education and Health Promotion Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome is associated with cardio-metabolic risk factors and lipid abnormalities. Previous studies evaluated the dietary habits and nutrient intakes among patients with metabolic syndrome; however the association between metabolic risk factors and adiponectin with dietary diversity score (DDS) in patients with metabolic syndrome has not been evaluated yet. Therefore the aim of the current study was to evaluate these relationships among patients with metabolic syndrome.

methodsOne hundred sixty patients with metabolic syndrome were recruited in the study. The anthropometric parameters including weight, height, waist circumference and hip circumference were measured. Serum adiponectin concentration was measured by enzyme- linked immunosorbent assay method (ELISA). Lipid profile and fasting serum glucose concentrations (FSG) were also measured with enzymatic colorimetric methods. Blood pressure was also measured and DDS was calculated using the data obtained from food frequency questionnaire (FFQ).

resultsSubjects in lower DDS categorizes had significantly lower energy and fiber intake; whereas mean protein intake of subjects in the highest quartile was significantly higher than second quartile. Higher prevalence of obesity was also observed in the top quartiles (P < 0.001). Subjects in the lower quartiles had higher serum triglyceride concentrations and systolic blood pressure (SBP) values and lower serum adiponectin concentrations compared with subjects in higher DDS categorizes (P < 0.05). The prevalence of metabolic syndrome components among patients in lower DDS quartiles was significantly higher (P < 0.05).

conclusionOur study found a lower serum triglyceride and SBP and higher serum adiponectin concentrations in top quartiles of DDS. The findings clarify the possible preventive role of higher dietary diversity score against metabolic syndrome. However, for further confirming the findings, more studies are warranted.

Indexed as

DietFeeding BehaviorNutritional StatusAdiponectinAdultBiomarkersBlood GlucoseBlood PressureCardiovascular DiseasesDietary FiberDietary ProteinsEnergy IntakeFemaleHumansLipidsMaleAdiponectinADIPOQ protein, humanBiomarkersBlood GlucoseDietary FiberDietary ProteinsLipidsAdiponectinDietary diversity scoreMetabolic syndrome

Identifiers

PMID29665770
PMCPMC5904975

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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.