Evidence map›Paper›PMID 35936537›Full record

ArticleIranian journal of public health2022

How Much Excess Body Weight, Blood Pressure, Triglyceride, or Age Can Double the Likelihood of Diabetes Type 2?

Parya Jangipour Afshar, Hamid Najafipour, Mitra Shadkam Farokhi, Armita Shahesmaeili

Abstract read
In one paragraph

Article in Iranian journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Parya Jangipour AfsharDepartment of Biostatistics and Epidemiology, School of Public Health and Physiology Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran.
Hamid NajafipourCardiovascular Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Science, Kerman Iran.
Mitra Shadkam FarokhiEndocrinology and Metabolism Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Armita ShahesmaeiliHIV/STI Surveillance Research Center, and WHO Collaborating Center for HIV Surveillance Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aimed to identify the level of known risk factors of diabetes associated with doubled likelihood of diabetes type 2. Methods: In this cross-sectional study, an analysis was performed on the data of 9930 individuals aged 15 yr and older participating from 2014 to 2018 in the second phase of the Kerman coronary artery disease risk factors study (KERCADRS), Kerman, Iran. Data were collected using a standard questionnaire. Multivariable logistic regression was performed to identify factors associated with doubled chance of diabetes. Results: The mean age of participants was 46.1±15.5 yr from which 59.5% were women. Overall, 1105 (11.1%) individuals had type 2 diabetes. An increase of 13.86 yr in age, an increase of 17.32 kg/m Conclusion: Slight changes in the waist-to-hip circumference ratio (0.17), aging (14 yr), and increase in TG/HDL ratio (6.07 unit) were the most important risk factors, while intense physical activity was the most important protective factor associated with doubling of the chances of developing diabetes. Since most of these risk factors are modifiable, increase in physical activity and providing facilities to improve lifestyle in the community seems necessary.

Indexed as

DiabetesOdds ratioRisk factor

Identifiers

PMID35936537
PMCPMC9288418

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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.