Evidence map›Paper›PMID 32235566›Full record

ArticleNutrients2020

Development and Validation of Two Self-Reported Tools for Insulin Resistance and Hypertension Risk Assessment in A European Cohort: The Feel4Diabetes-Study.

Spyridon Kanellakis, Christina Mavrogianni, Kalliopi Karatzi, Jaana Lindstrom, Greet Cardon, Violeta Iotova, Katja Wikström, Samyah Shadid, Luis A Moreno, Kaloyan Tsochev and 6 more

Abstract read
In one paragraph

Article in Nutrients, 2020. 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
–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

4 citing papers in PubMed.

  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

16 authors.

Spyridon KanellakisDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.
Christina MavrogianniDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.
Kalliopi KaratziDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.
Jaana LindstromDepartment of Public Health Solutions, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland.
Greet CardonDepartment of Movement and Sports Sciences, Faculty of medicine and Health Sciences, Ghent University, 9000 Gent, Belgium.ORCID 0000-0003-4983-6557
Violeta IotovaDepartment of Paediatrics, Medical University Varna, 9002 Varna, Bulgaria.ORCID 0000-0003-4160-1200
Katja WikströmDepartment of Public Health Solutions, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland.
Samyah ShadidDepartment of Endocrinology, Ghent University Hospital, 9000 Gent, Belgium.
Luis A MorenoGrowth, Exercise, Nutrition and Development Research Group, School of Health Sciences, University of Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0003-0454-653X
Kaloyan TsochevDepartment of Paediatrics, Medical University Varna, 9002 Varna, Bulgaria.
Éva BíróDivision of Health Promotion, Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-0131-8147
Rumyana DimovaDepartment of Diabetology, Clinical Center of Endocrinology, Medical University Sofia, 1431 Sofia, Bulgaria.
Emese AntalHungarian Society of Nutrition, 1088 Budapest, Hungary.
Stavros LiatisNational and Kapodistrian University of Athens Medical School, 11527 Athens, Greece.
Konstantinos MakrilakisNational and Kapodistrian University of Athens Medical School, 11527 Athens, Greece.ORCID 0000-0002-4160-0577
Yannis ManiosDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.

Funding

European Union's Horizon 2020 643708
6 · The paper itself

Abstract

Early identification of type 2 diabetes mellitus (T2DM) and hypertension (HTN) risk may improve prevention and promote public health. Implementation of self-reported scores for risk assessment provides an alternative cost-effective tool. The study aimed to develop and validate two easy-to-apply screening tools identifying high-risk individuals for insulin resistance (IR) and HTN in a European cohort. Sociodemographic, lifestyle, anthropometric and clinical data obtained from 1581 and 1350 adults (baseline data from the Feel4Diabetes-study) were used for the European IR and the European HTN risk assessment index respectively. Body mass index, waist circumference, sex, age, breakfast consumption, alcohol, legumes and sugary drinks intake, physical activity and sedentary behavior were significantly correlated with Homeostatic Model Assessment of IR (HOMA-IR) and/or HTN and incorporated in the two models. For the IR index, the Area Under the Curve (AUC), sensitivity and specificity for identifying individuals above the 75th and 95th of HOMA-IR percentiles were 0.768 (95%CI: 0.721-0.815), 0.720 and 0.691 and 0.828 (95%CI: 0.766-0.890), 0.696 and 0.778 respectively. For the HTN index, the AUC, sensitivity and specificity were 0.778 (95%CI: 0.680-0.876), 0.667 and 0.797. The developed risk assessment tools are easy-to-apply, valid, and low-cost, identifying European adults at high risk for developing T2DM or having HTN.

Indexed as

Diabetes Mellitus, Type 2HypertensionInsulin ResistanceSelf ReportAnthropometryBlood GlucoseBody Mass IndexCohort StudiesEuropeLife StylePrevalenceRisk AssessmentSensitivity and SpecificityWaist CircumferenceBlood GlucoseEuropean HTN Risk IndexEuropean IR Risk Indexhypertensionscreeningtype 2 diabetes

Identifiers

PMID32235566
PMCPMC7230581

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.