Evidence map›Paper›PMID 38023078›Full record

ArticleJournal of education and health promotion2023

Estimation of type 2 diabetes risk score using diabetes risk test in Neishabour-Iran.

Fateme Zahra Batani, Abdolghader Assarroudi, Mohammad Reza Armat, Seyed Majid Vafaie

Open access · goldAbstract read
In one paragraph

Article in Journal of education and health promotion, 2023. 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
0.2field-weighted citation impact, top 40% 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, 1 citations in OpenAlex.

  1. Article
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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 3 institutions in 1 country.

Fateme Zahra BataniDepartment of Nursing, Student Research Committee, School of Nursing and Midwifery, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Abdolghader AssarroudiDepartment of Medical-Surgical Nursing, Iranian Research Center on Healthy Aging, School of Nursing and Midwifery, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Mohammad Reza ArmatDepartment of Geriatric Nursing, School of Nursing and Midwifery North Khorasan University of Medical Sciences, Iran.
Seyed Majid VafaieDepartment of Nursing, School of Nursing and Midwifery, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Iranshahr University · IRNorth Khorasan University of Medical Sciences · IRSabzevar University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreventing diabetes and identifying patients who are at risk for it is very important. This study was conducted to estimate the risk score of type 2 diabetes among adults living in Neishabour city in 2020. MATERIALS AND

methodsThis descriptive-analytical study was performed on 1000 people aged 25 years and older living in Neishabour (Iran) using a multi-stage sampling method. The data collection instrument included the American Diabetes Association Diabetes Risk Test (DRT), which is a screening instrument to assess the risk of type 2 diabetes. Data analysis was carried out using SPSS ver. 18, using independent

resultsThe mean age of the subjects was 43.87 years (SD = 0.419) and 50.7% (n = 507) were female and the rest were male (n = 493). The risk of developing type 2 diabetes was high in 18.4% (n = 184) of the subjects. And the average risk of diabetes in people was 2.76 (SD = 0.057) out of 10 points. There was no significant relationship between gender and gestational diabetes with the risk of diabetes, but there was a significant relationship between age over 40 years, history of hypertension, family history of diabetes, lack of physical activity, and being overweight with the risk of type 2 diabetes.

conclusionApproximately, one-fifth of the subjects had a high risk of developing type 2 diabetes. Therefore, the use of a simple and practical instrument such as DRT can be suitable for screening and early detection of Prediabetic state and type 2 diabetes.

Indexed as

Diabetes mellitusprevalencetype 2

Identifiers

PMID38023078
PMCPMC10670872
OpenAlexW4387350076

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.