Evidence map›Paper›PMID 26449854›Full record

ArticleEating and weight disorders : EWD2016

Clustering eating habits: frequent consumption of different dietary patterns among the Italian general population in the association with obesity, physical activity, sociocultural characteristics and psychological factors.

Francesca Denoth, Marco Scalese, Valeria Siciliano, Laura Di Renzo, Antonino De Lorenzo, Sabrina Molinaro

Abstract read
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In one paragraph

Article in Eating and weight disorders : EWD, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 31 citations in OpenAlex.

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  11. Impact of COVID-19 on Physical Activity and Lifestyles in Post-Confinement Sports Science Undergraduates.International journal of environmental research and public health · 2022
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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

6 authors at 3 institutions in 1 country.

Francesca DenothInstitute of Clinical Physiology, CNR (Italian National Research Council), Via Moruzzi n. 1, 56126, Pisa, Italy.
Marco ScaleseInstitute of Clinical Physiology, CNR (Italian National Research Council), Via Moruzzi n. 1, 56126, Pisa, Italy.
Valeria SicilianoInstitute of Clinical Physiology, CNR (Italian National Research Council), Via Moruzzi n. 1, 56126, Pisa, Italy.
Laura Di RenzoSection of Clinical Nutrition and Nutrigenomic, Faculty of Medicine and Surgery, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier n. 1, Torre F Sud, Rome, 00133, Italy.
Antonino De LorenzoSection of Clinical Nutrition and Nutrigenomic, Faculty of Medicine and Surgery, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier n. 1, Torre F Sud, Rome, 00133, Italy.
Sabrina MolinaroInstitute of Clinical Physiology, CNR (Italian National Research Council), Via Moruzzi n. 1, 56126, Pisa, Italy. molinaro@ifc.cnr.it.
Istituto di Fisiologia Clinica · ITUniversity of Rome Tor Vergata · ITNational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose(a) To identify clusters of eating patterns among the Italian population aged 15-64 years, focusing on typical Mediterranean diet (Med-diet) items consumption; (b) to examine the distribution of eating habits, as identified clusters, among age classes and genders; (c) evaluate the impact of: belonging to a specific eating cluster, level of physical activity (PA), sociocultural and psychological factors, as elements determining weight abnormalities.

methodsData for this cross-sectional study were collected using self-reporting questionnaires administered to a sample of 33,127 subjects participating in the Italian population survey on alcohol and other drugs (IPSAD(®)2011). The cluster analysis was performed on a subsample (n = 5278 subjects) which provided information on eating habits, and adapted to identify categories of eating patterns. Stepwise multinomial regression analysis was performed to evaluate the associations between weight categories and eating clusters, adjusted for the following background variables: PA levels, sociocultural and psychological factors.

resultsThree clusters were identified: "Mediterranean-like", "Western-like" and "low fruit/vegetables". Frequent consumption of Med-diet patterns was more common among females and elderly. The relationship between overweight/obesity and male gender, educational level, PA, depression and eating disorders (p < 0.05) was confirmed. Belonging to a cluster other than "Mediterranean-like" was significantly associated with obesity.

conclusionThe low consumption of Med-diet patterns among youth, and the frequent association of sociocultural, psychological issues and inappropriate lifestyle with overweight/obesity, highlight the need for an interdisciplinary approach including market policies, to promote a wider awareness of the Mediterranean eating habit benefits in combination with an appropriate lifestyle.

Indexed as

DietHealth BehaviorLife StyleAdolescentAdultAlcohol DrinkingCross-Sectional StudiesExerciseFeeding BehaviorFemaleHealth SurveysHumansItalyMaleMiddle AgedObesityCluster analysisDietary patternsEating habitsObesityOverweightPopulation survey

Identifiers

PMID26449854
OpenAlexW1926155957

What OpenQuestion holds

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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 OpenQuestion graph.