Evidence map›Paper›PMID 27909559›Full record

ArticleNutrition research and practice2016

Identification of dietary patterns in urban population of Argentina: study on diet-obesity relation in population-based prevalence study.

Sonia Alejandra Pou, María Del Pilar Díaz, Ana Gabriela De La Quintana, Carla Antonella Forte, Laura Rosana Aballay

Abstract read
In one paragraph

Article in Nutrition research and practice, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

5 authors.

Sonia Alejandra PouInstituto de Investigaciones en Ciencias de la Salud (INICSA), Universidad Nacional de Córdoba, CONICET, Facultad de Ciencias Médicas, Av. Enrique Barros y Enfermera Gordillo, C.P. 5016, Córdoba, Argentina.; Estadística y Bioestadística, Escuela de Nutrición, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Av. Enrique Barros s/n, C.P. 5016, Córdoba, Argentina.
María Del Pilar DíazInstituto de Investigaciones en Ciencias de la Salud (INICSA), Universidad Nacional de Córdoba, CONICET, Facultad de Ciencias Médicas, Av. Enrique Barros y Enfermera Gordillo, C.P. 5016, Córdoba, Argentina.; Estadística y Bioestadística, Escuela de Nutrición, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Av. Enrique Barros s/n, C.P. 5016, Córdoba, Argentina.
Ana Gabriela De La QuintanaEscuela de Nutrición, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Av. Enrique Barros s/n, C.P. 5016, Córdoba, Argentina.
Carla Antonella ForteEscuela de Nutrición, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Av. Enrique Barros s/n, C.P. 5016, Córdoba, Argentina.
Laura Rosana AballayEstadística y Bioestadística, Escuela de Nutrición, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Av. Enrique Barros s/n, C.P. 5016, Córdoba, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesIn Argentina, obesity prevalence rose from 14.6% in 2005 to 20.8% in 2013. Although the number of studies on noncommunicable diseases and dietary patterns as a unique dietary exposure measure has increased, information on this topic remains scarce in developing countries. This is the first population-based study investigating the association between diet and obesity using a dietary pattern approach in Argentina. We aimed (a) to identify current dietary patterns of the population of Córdoba city, (b) to investigate its association with obesity prevalence, and (c) to identify and describe dietary patterns from the subgroup of people with obesity. SUBJECTS/

methodsThe Córdoba Obesity and Diet Study (CODIES) was conducted in Córdoba city by using a random sample of n = 4,327 subjects between 2005 and 2012. Empirically derived dietary patterns were identified through principal component factor analysis. A multiple logistic regression analysis was used to investigate the association of dietary patterns with obesity.

resultsFour dietary patterns were identified, called "

conclusionsThe findings suggest that high adherence to the "

Indexed as

Argentinacross-sectional studyeating patternepidemiologyObesity

Identifiers

PMID27909559
PMCPMC5126411

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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.