Dietary patterns and hypertension

A population-based study with women from Southern Brazil

Bibliographic Data

ID5220103
AuthorsBianca Del Ponte Da Silva (0000-0003-2318-6170, Universidade Federal de Pelotas), Marilda B Neutzling (0000-0003-2276-5197, Universidade Federal do Rio Grande do Sul), Suzi Camey (Universidade Federal do Rio Grande do Sul), Suzi Alves Camey (0000-0002-5564-081X, Universidade Federal do Rio Grande do Sul), Maria Teresa Anselmo Olinto (0000-0002-3950-4594, Universidade do Vale do Rio dos Sinos, Brasil; Universidade Federal de Ciências da Saúde de Porto Alegre, Brasil)
Year2014
Volume30
Issue5
Pages961-971
Publication date2014-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCadernos de Saude Publica (JOURNAL)
Journal identifiersISSN: 0102-311X • E-ISSN: 1678-4464
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0102-311x00146312
PMID24936813
OpenAlexW2033427539
SCIELO_PIDS0102-311X2014000500961
LanguageEN
Citations received2
References cited26

This study investigated the association between dietary pattern and hypertension using the rank reduced regression (RRR). It was a cross-sectional population-based study with a representative sample of 1,026 women living in the city of São Leopoldo, Rio Grande do Sul State, Brazil. In order to identify dietary patterns, dietary variables from a dietary frequency questionnaire were used as predictors and sodium, potassium and saturated fat consumption were selected as response variables. The RRR identified three dietary patterns: Factor 1, Factor 2 and Factor 3. The association between hypertension and factors 1, 2 and 3, after adjustment for socio-demographic, behavioral and obesity variables, was not significant. After stratification by age, the association between hypertension and factor 2 was present in 40-60 year-old women (tertile 2 compared to 3 RP = 0.62, 95%CI: 0.43-0.91; p = 0,05). The new statistical method (RRR), proved to be a useful tool for identifying dietary patterns. In this study, healthier dietary pattern was directly associated with hypertension in women between 40 and 60 years of age

Cross-sectional study · Environmental health · Obesity · Population · Regression analysis · Statistics · Consumer Attitudes and Food Labeling · Demography · Internal Medicine · Mathematics · Medicine · Nutritional Studies and Diet · Obesity, Physical Activity, Diet · Gerontology

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