Socio-Demographic Characteristics and Body Weight Perceptions of Study Participants Benefitting Most from the Feel4Diabetes Program Based on Their Anthropometric and Glycaemic Profile Changes.
Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% 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
3 citing papers in PubMed, 6 citations in OpenAlex.
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
18 authors at 9 institutions in 6 countries.
George MoschonisDepartment of Dietetics, Nutrition and Sport, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC 3086, Australia.ORCID 0000-0003-3009-6675
Kalliopi KaratziDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.ORCID 0000-0001-5453-898X
Kyriaki ApergiDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.ORCID 0000-0002-4967-7798
Stavros LiatisNational and Kapodistrian University of Athens Medical School, 11527 Athens, Greece.
Jemina KiveläDepartment of Public Health Solutions, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland.
Katja WikströmDepartment of Public Health Solutions, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland.
Alelí M Ayala-MarínGrowth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Universidad de Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0001-8914-0752
Rocio Mateo-GallegoCentro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, 28029 Madrid, Spain.
Kaloyan TsochevDepartment of Paediatrics, Medical University Varna, 9002 Varna, Bulgaria.
Nevena ChakarovaClinical Center of Endocrinology, Department of Diabetology, Medical University Sofia, 1431 Sofia, Bulgaria.
Emese AntalHungarian Society of Nutrition, 1088 Budapest, Hungary.
Violeta IotovaDepartment of Paediatrics, Medical University Varna, 9002 Varna, Bulgaria.
Greet CardonDepartment of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Gent, Belgium.ORCID 0000-0003-4983-6557
Jaana LindstromDepartment of Public Health Solutions, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland.
Luis A MorenoGrowth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Universidad de Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0003-0454-653X
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.ORCID 0000-0001-6486-114X
Finnish Institute for Health and Welfare · FIHarokopio University of Athens · GRMedical University of Varna · BGNational and Kapodistrian University of Athens · GRUniversidad de Zaragoza · ESGhent University · BEInstituto de Salud Carlos III · ESLa Trobe University · AUMedical University of Sofia · BG
Funding
Horizon 2020 643708
6 · The paper itself
Abstract
The Feel4Diabetes program was comprised of a community-based screening and a two-year intervention phase aiming to prevent type 2 diabetes (T2D) in families at risk for diabetes across Europe. The current work aimed to identify the socio-demographic characteristics and body weight perceptions of participants who benefitted the most, achieving at least a 5% reduction in body weight, waist circumference and glycaemic indices (fasting plasma glucose, insulin, glycosylated haemoglobin levels), over two-year period. Following a two-stage screening procedure, 2294 high-risk parents were randomly allocated to standard care or more intensive intervention. The participants who benefitted most were living in Southern (OR 2.39-3.67,
Indexed as
Body Mass IndexBody WeightDemographyGlycemic IndexWaist CircumferenceAdultBody ImageEuropeFemaleGlycated HemoglobinHealth PromotionHumansInsulinMaleMiddle AgedWeight PerceptionGlycated Hemoglobinhemoglobin A1c protein, humanInsulincommunityfamiliesFeel4Diabetesglucoseglycaemic indiceslifestyle interventionobesitypreventionschooltype 2 diabetes
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.
Socio-Demographic Characteristics and Body Weight Perceptions of Study Participants Benefitting Most from the Feel4Diabetes Program Based on Their Anthropometric and Glycaemic Profile Changes. · full record | Socratic