Evidence map›Paper›PMID 33553020›Full record

ArticleJournal of diabetes and metabolic disorders2020

Adaptation and validity assessment of a diet quality index for patients with type 2 diabetes.

Mona Golmohammadi, Rasoul Zarrin, Parvin Ayremlou

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-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

6 citing papers in PubMed, 5 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

3 authors at 2 institutions in 1 country.

Mona GolmohammadiDepartment of Nutrition Sciences, School of Medicine, Urmia University of Medical Sciences, Urmia, Iran.ORCID https://orcid.org/0000-0003-1172-2626
Rasoul ZarrinDepartment of Nutrition Sciences, School of Medicine, Urmia University of Medical Sciences, Urmia, Iran.ORCID https://orcid.org/0000-0002-4488-0957
Parvin AyremlouClinical Research Development Unit of Imam Khomeini Hospital, Urmia University of Medical Sciences, Urmia, Iran.ORCID https://orcid.org/0000-0002-0006-013X
Urmia University · IRImam Khomeini Hospital · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAs diet quality indices (DQI) are likely to be influenced by disease background, adapting the existing indices for each disease is crucial. No study has been adapted a DQI for patients with type 2 diabetes. We aimed to adapt healthy eating index and assess its validity for Iranian patients with type 2 diabetes mellitus (T2DM).

methodsIn this cross-sectional study, the analysis was conducted on 489 adults with T2DM. We adapted HEI and assessed its validity using construct validity. Construct validity was assessed using a 168-item semi-quantitative food-frequency questionnaire (FFQ). General linear model was used to assess associations between adapted HEI scores and demographic characteristics, anthropometric indices, physical activity and food and nutrient intakes.

resultsAdapted HEI were examined on 489 subjects (163 men and 326 women). Findings showed that in older subjects the mean adapted HEI score was greater than the younger ones. However, it was significant only in women (

conclusionAdapted HEI could successfully discriminate diet quality in patients with T2DM. Older and high-educated women were adhered greatly to high quality diets. The adapted DQI linked with greater physical activity level and non-smokers diabetic men with lower BMI.

Indexed as

Diet quality indexHealthy eating indexType 2 diabetes mellitus

Identifiers

PMID33553020
PMCPMC7843855
OpenAlexW3048069030

What OpenQuestion holds

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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.