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dc.contributor.author
Muñoz, Fabian Leonardo
dc.contributor.author
Pou, Sonia Alejandra
dc.contributor.author
Diaz, Maria del Pilar
dc.date.available
2023-12-01T14:36:16Z
dc.date.issued
2023-01
dc.identifier.citation
Muñoz, Fabian Leonardo; Pou, Sonia Alejandra; Diaz, Maria del Pilar; An empirically derived “prudent” dietary pattern is associated with lower obesity occurrence: Modeling and mapping from a national nutrition survey; Pergamon-Elsevier Science Ltd; Nutrition Research; 109; 1-2023; 26-34
dc.identifier.issn
0271-5317
dc.identifier.uri
http://hdl.handle.net/11336/218982
dc.description.abstract
The characterization of dietary patterns linked to obesity is important to address evidence-based interventions against the obesity epidemic. We hypothesized that both dietary behaviors and environmental characteristics affect the spatial distribution of obesity. This study aimed to analyze the role of dietary patterns in the occurrence of obesity in Colombia, taking into account the hierarchical (geographical) structure of the data. A cross-sectional study based on the Colombian National Nutrition Survey (2015) was carried out. A subsample of 8750 adults who reported dietary intake data (by the 24-hour diet recall method) was extracted. Dietary patterns were identified by principal component factor analysis. Their association with obesity occurrence was assessed by using multilevel Poisson regression models (8750 subjects nested in 33 geographic units). Thematic maps were constructed. The obesity prevalence was 18.0% (95% CI, 16.7-19.4). Four dietary patterns were identified for the study group. An inverse (negative) association was found in people with high adherence (vs. low adherence) to the "prudent pattern” (dairy products, fruits, vegetables) (prevalence ratio, 0.87; 95% CI, 0.78-0.96; P = .01). People with high adherence to the "soft drinks and snacking pattern" (sugary drinks, meat products, snacks) tended to show a direct (positive) association with obesity occurrence (prevalence ratio, 1.12; 95% CI, 0.99-1.27; P = .06). Maps showed higher adherence levels to the prudent pattern in departments with higher socioeconomic conditions and lower obesity prevalence. To conclude, a prudent dietary pattern emerges as a key factor in obesity occurrence in Colombia. Obesity spatial distribution may be conditioned by contextual factors that represent social inequalities in health.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Pergamon-Elsevier Science Ltd
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
DEVELOPING COUNTRIES
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FEEDING BEHAVIOR
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NUTRITION SURVEYS
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OVERWEIGHT
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Epidemiología
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Ciencias de la Salud
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
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Nutrición, Dietética
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Ciencias de la Salud
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
dc.subject.classification
Salud Pública y Medioambiental
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Ciencias de la Salud
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
An empirically derived “prudent” dietary pattern is associated with lower obesity occurrence: Modeling and mapping from a national nutrition survey
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-11-29T13:20:28Z
dc.journal.volume
109
dc.journal.pagination
26-34
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Muñoz, Fabian Leonardo. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
dc.description.fil
Fil: Pou, Sonia Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina
dc.description.fil
Fil: Diaz, Maria del Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentina
dc.journal.title
Nutrition Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0271531722001087
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.nutres.2022.11.004
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