Evidence map›Paper›PMID 29212502›Full record

ArticleThe international journal of behavioral nutrition and physical activity2017

A spatial analysis of dietary patterns in a large representative population in the north of The Netherlands - the Lifelines cohort study.

Louise H Dekker, Richard H Rijnks, Dirk Strijker, Gerjan J Navis

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Article in The international journal of behavioral nutrition and physical activity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

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31citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Louise H DekkerDepartment of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. l.h.dekker@umcg.nl.
Richard H RijnksDepartment of Economic Geography, Faculty of Spatial Sciences, University of Groningen, Groningen, The Netherlands.
Dirk StrijkerDepartment of Cultural Geography, Faculty of Spatial Sciences, University of Groningen, Groningen, The Netherlands.
Gerjan J NavisDepartment of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiet is an important modifiable risk factor for chronic diseases. In the search for effective strategies to improve dietary patterns in order to promote healthy ageing, new approaches considering contextual factors in public health medicine are warranted. The aim of this study is to examine the spatial clustering of dietary patterns in a large representative sample of adults.

methodsDietary patterns were defined on the basis of a 111 item Food Frequency Questionnaire among n = 117,570 adults using principal components analysis. We quantified the spatial clustering of dietary pattern scores at the neighborhood level using the Global Moran's I spatial statistic, taking into consideration individual demographic and (neighborhood) socioeconomic indicators.

resultsFour dietary patterns explaining 27% of the variance in dietary data were extracted in this population and named the "bread and cookies" pattern, the "snack" pattern, the "meat and alcohol" pattern and the "vegetable, fruit and fish" pattern. Significant spatial clustering of high (hot spot) and low (cold spot) dietary pattern scores was found for all four dietary patterns irrespective of age and gender differences. Educational attainment and neighborhood income explained the global clustering to some extent, although clustering at smaller regional scales persisted.

conclusionThe significant region-specific hot and cold spots of the four dietary patterns illustrate the existence of regional "food cultures" and underscore the need for interventions targeted at the sub-national level in order to tackle unhealthy dietary behavior and to stimulate people to make healthy dietary choices.

Indexed as

DietHealth BehaviorResidence CharacteristicsAdultCluster AnalysisDiet SurveysEmpirical ResearchFemaleHumansMaleMiddle AgedNetherlandsPatient CompliancePrincipal Component AnalysisProspective StudiesSocioeconomic FactorsDietary patternsEnvironmentFood culturesSpatial analysis

Identifiers

PMID29212502
PMCPMC5719934

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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.