Evidence map›Paper›PMID 31673490›Full record

ArticleOsong public health and research perspectives2019

Enrolment Phase Results of the Tabari Cohort Study: Comparing Family History, Lipids and Anthropometric Profiles Among Diabetic Patients.

Mahmood Moosazadeh, Mahdi Afshari, Kaveh Jafari, Motahareh Kheradmand, Zahra Kashi, Mohsen Aarabi, Adeleh Bahar, Mohammad Khademloo

Open access · diamondAbstract read
In one paragraph

Article in Osong public health and research perspectives, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 7 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

8 authors at 2 institutions in 1 country.

Mahmood MoosazadehHealth Sciences Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Mahdi AfshariDepartment of Community Medicine, School of Medicine, Zabol University of Medical Sciences, Zabol, Iran.
Kaveh JafariMazandaran Heart Center, Mazandaran University of Medical Sciences, Sari, Iran.
Motahareh KheradmandHealth Sciences Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Zahra KashiDiabetes Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Mohsen AarabiDepartment of Family Medicine, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Adeleh BaharDiabetes Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Mohammad KhademlooCommunity Medicine, Department of Community Medicine, School of Medicine, Orthopedic Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Mazandaran University of Medical Sciences · IRZabol University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDifferent factors are responsible for the silent epidemic of diabetes mellitus in developing and developed countries. This study aimed to determine the role of demographic factors, lipid profile, family history (the estimation of genetic association) and anthropometric factors on diabetes onset.

methodsData from the enrolment phase of the Tabari Cohort study was applied for this study and included 10,255 participants aged between 35-70 years. Anthropometric variables were measured by trained staff using standard tools. Blood specimens were collected for lipid profile and blood glucose measurements. Data analyses were performed using SPSS version 24, with univariate and multivariate logistic regression.

resultsThe prevalence of diabetes mellitus was estimated to be 17.2% in the cohort population, 15.6% in men, and 18.3% in women. The adjusted odds ratios (95% confidence intervals) for age groups 40-49, 50-59 and over 60 were 2.58 (2.20-3.69), 5.80 (4.51-7.48) and 8.72 (6.67-11.39), respectively. In addition, the odds ratios (95% confidence intervals) for 2 (or more), and 1 affected family member were 4.12 (3.55-4.90) and 2.34 (2.07-2.65), respectively. Triglyceride concentrations more than 500, and abnormal high-density lipoprotein levels increased the odds of diabetes mellitus by 3.29- and 1.18-fold, respectively.

conclusionThe current study showed that old age and a family history were strong predictors for diabetes mellitus.

Indexed as

body mass indexdiabetes mellituslipids

Identifiers

PMID31673490
PMCPMC6816360
OpenAlexW2982630323

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.