Publication:
Lifestyle Patterns and Weight Status in Spanish Adults: The ANIBES Study.

dc.contributor.authorPérez-Rodrigo, Carmen
dc.contributor.authorGianzo-Citores, Marta
dc.contributor.authorGil, Ángel
dc.contributor.authorGonzález-Gross, Marcela
dc.contributor.authorOrtega, Rosa M
dc.contributor.authorSerra-Majem, Lluis
dc.contributor.authorVarela-Moreiras, Gregorio
dc.contributor.authorAranceta-Bartrina, Javier
dc.date.accessioned2023-01-25T09:47:30Z
dc.date.available2023-01-25T09:47:30Z
dc.date.issued2017-06-14
dc.description.abstractLimited knowledge is available on lifestyle patterns in Spanish adults. We investigated dietary patterns and possible meaningful clustering of physical activity, sedentary behavior, sleep time, and smoking in Spanish adults aged 18-64 years and their association with obesity. Analysis was based on a subsample (n = 1617) of the cross-sectional ANIBES study in Spain. We performed exploratory factor analysis and subsequent cluster analysis of dietary patterns, physical activity, sedentary behaviors, sleep time, and smoking. Logistic regression analysis was used to explore the association between the cluster solutions and obesity. Factor analysis identified four dietary patterns, "Traditional DP", "Mediterranean DP", "Snack DP" and "Dairy-sweet DP". Dietary patterns, physical activity behaviors, sedentary behaviors, sleep time, and smoking in Spanish adults aggregated into three different clusters of lifestyle patterns: "Mixed diet-physically active-low sedentary lifestyle pattern", "Not poor diet-low physical activity-low sedentary lifestyle pattern" and "Poor diet-low physical activity-sedentary lifestyle pattern". A higher proportion of people aged 18-30 years was classified into the "Poor diet-low physical activity-sedentary lifestyle pattern". The prevalence odds ratio for obesity in men in the "Mixed diet-physically active-low sedentary lifestyle pattern" was significantly lower compared to those in the "Poor diet-low physical activity-sedentary lifestyle pattern". Those behavior patterns are helpful to identify specific issues in population subgroups and inform intervention strategies. The findings in this study underline the importance of designing and implementing interventions that address multiple health risk practices, considering lifestyle patterns and associated determinants.
dc.identifier.doi10.3390/nu9060606
dc.identifier.essn2072-6643
dc.identifier.pmcPMC5490585
dc.identifier.pmid28613259
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5490585/pdf
dc.identifier.unpaywallURLhttps://www.mdpi.com/2072-6643/9/6/606/pdf?version=1497446887
dc.identifier.urihttp://hdl.handle.net/10668/11303
dc.issue.number6
dc.journal.titleNutrients
dc.journal.titleabbreviationNutrients
dc.language.isoen
dc.organizationIBS
dc.pubmedtypeJournal Article
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectadults
dc.subjectcluster analysis
dc.subjectdietary patterns
dc.subjectlifestyle patterns
dc.subjectobesity
dc.subjectphysical activity
dc.subjectsedentary behavior
dc.subject.meshAdult
dc.subject.meshBody Weight
dc.subject.meshDiet
dc.subject.meshExercise
dc.subject.meshFemale
dc.subject.meshHumans
dc.subject.meshLife Style
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshSocioeconomic Factors
dc.subject.meshSpain
dc.subject.meshYoung Adult
dc.titleLifestyle Patterns and Weight Status in Spanish Adults: The ANIBES Study.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number9
dspace.entity.typePublication

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