Evidence map›Paper›PMID 30859926›Full record

ArticlePublic health nutrition2019

Socio-economic and demographic characteristics associated with risk behaviour patterns for chronic non-communicable diseases in Brazil: data from the National Health Survey, 2013.

Ana Paula P Duarte, Paulo Rogério Melo Rodrigues, Márcia Gonçalves Ferreira, Diana Barbosa Cunha, Naiara Ferraz Moreira, Rosely Sichieri, Ana Paula Muraro

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Article in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ana Paula P Duarte1Department of Food and Nutrition,Federal University of Mato Grosso,Cuiabá,MG,Brazil.
Paulo Rogério Melo Rodrigues1Department of Food and Nutrition,Federal University of Mato Grosso,Cuiabá,MG,Brazil.ORCID 0000-0002-4213-0685
Márcia Gonçalves Ferreira1Department of Food and Nutrition,Federal University of Mato Grosso,Cuiabá,MG,Brazil.
Diana Barbosa Cunha2Department of Social Medicine,State University of Rio de Janeiro,Rio de Janeiro,RJ,Brazil.
Naiara Ferraz Moreira3Faculty of Health Sciences,Federal University of Grande Dourados,Dourados,MS,Brazil.
Rosely Sichieri4Department of Epidemiology,Institute of Social Medicine,Rio de Janeiro State University,Rio de Janeiro,RJ,Brazil.
Ana Paula Muraro5Institut of Public Health,Department of Public Health,Federal University of Mato Grosso,Av. Fernando Corrêa da Costa 2367,Bairro Boa Esperança,Bloco:CCBS III,Cuiabá,MT 78060-900,Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify risk behaviour patterns for chronic non-communicable diseases (NCD) in the Brazilian population and to investigate associated socio-economic and demographic factors.

designFactor analysis was used to identify patterns considering the following risk behaviours: consumption of soft drinks/artificial juice, sweet foods, red meat with apparent fat, chicken skin; inadequate consumption of fruits and vegetables; alcohol abuse; smoking; absence of physical activity during leisure time; and time spent watching television. The χ 2 test was used to compare ratios. All analyses accounted for weighting factors and the study's complex sampling design effect. The socio-economic and demographic variables evaluated were gender, age, schooling level and macro region of residence.

settingNational Health Survey, a household survey with national representation, conducted in 2013 in Brazil.ParticipantsIndividuals (n 60202) aged 18 years or over.

resultsFour risk behaviour patterns were identified: 'Physical inactivity in leisure time and Inadequate consumption of fruits and vegetables', 'Saturated fat', 'Alcohol and Smoking' and 'Sedentary behaviour and Sugar', explaining 52·01 % of the total variance. Overall, greater adherence to 'Saturated fat' and 'Alcohol and Smoking' patterns was observed among men and those with lower education level. The 'Sedentary behaviour and Sugar' and 'Physical inactivity in leisure time and Inadequate consumption of fruits and vegetables' patterns had greater adherence among younger individuals, and the first was associated with higher education whereas the second with less education among individuals residing in the North and Northeast regions.

conclusionsRisk behaviour patterns for NCD were heterogeneous, reflecting the socio-economic and demographic differences in Brazil.

Indexed as

Life StyleRisk-TakingAdolescentAdultBrazilChronic DiseaseFemaleHealth BehaviorHealth SurveysHumansMaleMiddle AgedNoncommunicable DiseasesRisk FactorsSocioeconomic FactorsYoung AdultChronic non-communicable diseasesLifestyleRisk behavioursSocio-economic factors

Identifiers

PMID30859926
PMCPMC10260586

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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.