Evidence map›Paper›PMID 36904286›Full record

ArticleNutrients2023

The Emerging Prevalence of Obesity within Families in Europe and its Associations with Family Socio-Demographic Characteristics and Lifestyle Factors; A Cross-Sectional Analysis of Baseline Data from the Feel4Diabetes Study.

George Siopis, George Moschonis, Kyriakos Reppas, Violeta Iotova, Yuliya Bazdarska, Nevena Chakurova, Imre Rurik, Anette Si Radó, Greet Cardon, Marieke De Craemer and 8 more

Full text read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
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

18 authors.

George SiopisDepartment of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC 3086, Australia.
George MoschonisDepartment of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC 3086, Australia.ORCID 0000-0003-3009-6675
Kyriakos ReppasDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.
Violeta IotovaDepartment of Endocrinology, Medical University Sofia, 1431 Sofia, Bulgaria.ORCID 0000-0003-4160-1200
Yuliya BazdarskaDepartment of Endocrinology, Medical University Sofia, 1431 Sofia, Bulgaria.
Nevena ChakurovaDepartment of Endocrinology, Medical University Sofia, 1431 Sofia, Bulgaria.
Imre RurikDepartment of Family Medicine, Semmelweis University, 1085 Budapest, Hungary.ORCID 0000-0003-2818-8714
Anette Si RadóHungarian Society of Nutrition, 1088 Budapest, Hungary.
Greet CardonDepartment of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Gent, Belgium.ORCID 0000-0003-4983-6557
Marieke De CraemerDepartment of Rehabilitation Sciences, 9000 Ghent, Belgium.ORCID 0000-0002-5220-7850
Katja WikströmThe Department of Public Health and Welfare, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland.
Päivi ValveThe Department of Public Health and Welfare, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland.
Luis A MorenoGrowth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50009 Zaragoza, Spain.ORCID 0000-0003-0454-653X
Pilar De Miguel-EtayoGrowth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50009 Zaragoza, Spain.ORCID 0000-0001-6173-5850
Konstantinos MakrilakisFirst Department of Propaedeutic Medicine, Laiko General Hospital, Athens Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece.ORCID 0000-0002-4160-0577
Stavros LiatisFirst Department of Propaedeutic Medicine, Laiko General Hospital, Athens Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece.
Yannis ManiosDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.ORCID 0000-0001-6486-114X
On Behalf Of The Feel Diabetes-Study Group

Funding

European Union's Horizon 2020 Research and Innovation Programme 643708
6 · The paper itself

Abstract

The Feel4Diabetes study is a type 2 diabetes prevention program that recruited 12,193 children [age: 8.20 (±1.01) years] and their parents from six European countries. The current work used pre-intervention data collected from 9576 children-parents pairs, to develop a novel family obesity variable and to examine its associations with family sociodemographic and lifestyle characteristics. Family obesity, defined as the presence of obesity in at least two family members, had a prevalence of 6.6%. Countries under austerity measures (Greece and Spain) displayed higher prevalence (7.6%), compared to low-income (Bulgaria and Hungary: 7%) and high-income countries (Belgium and Finland: 4.5%). Family obesity odds were significantly lower when mothers (OR: 0.42 [95% CI: 0.32, 0.55]) or fathers (0.72 [95% CI: 0.57, 0.92]) had higher education, mothers were fully (0.67 [95% CI: 0.56, 0.81]) or partially employed (0.60 [95% CI: 0.45, 0.81]), families consumed breakfast more often (0.94 [95% CI: 0.91 0.96]), more portions of vegetables (0.90 [95% CI: 0.86, 0.95]), fruits (0.96 [95% CI: 0.92, 0.99]) and wholegrain cereals (0.72 [95% CI: 0.62, 0.83]), and for more physically active families (0.96 [95% CI: 0.93, 0.98]). Family obesity odds increased when mothers were older (1.50 [95% CI: 1.18, 1.91]), with the consumption of savoury snacks (1.11 [95% CI: 1.05, 1.17]), and increased screen time (1.05 [95% CI: 1.01, 1.09]). Clinicians should familiarise themselves with the risk factors for family obesity and choose interventions that target the whole family. Future research should explore the causal basis of the reported associations to facilitate devising tailored family-based interventions for obesity prevention.

Indexed as

Diabetes Mellitus, Type 2ChildCross-Sectional StudiesEuropeFamily CharacteristicsFemaleHumansLife StyleMothersObesityOverweightPrevalenceBMIcommunity interventionlifestyle interventionoverweight preventionschoolSESsocio-economic risk factorsT2DT2DMweight

Identifiers

PMID36904286
PMCPMC10005317

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read72
reference markers read3
identifiers read1
Read underepoch 390

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.