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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Nutrition Metabolism...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Nutrition Metabolism and Cardiovascular Diseases
Article . 2023 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Food consumption by degree of processing is associated with nocturnal dipping and blood pressure variability: The ELSA-Brasil study

Authors: Jéssica Benatti Ribeiro; Helen Hermana Miranda Hermsdorff; Maria de Jesus Mendes Fonseca; Maria del Carmen Bisi Molina; Rosane Harter Griep; Leidjaira Lopes Juvanhol;

Food consumption by degree of processing is associated with nocturnal dipping and blood pressure variability: The ELSA-Brasil study

Abstract

Ambulatory blood pressure monitoring (ABPM) allows the assessment of cardiovascular risk markers that cannot be obtained by casual measurements; however, the evidence on the association between food consumption and blood pressure (BP) assessed by ABPM is scarce. We aimed to evaluate the association between food consumption by degree of processing and ambulatory BP.Cross-sectional analysis (2012-2014) of data from a subsample (n = 815) of ELSA-Brasil cohort participants who performed 24-h ABPM was conducted. Systolic (SBP) and diastolic (DBP) BP means and variability during the 24 h and subperiods (sleep and wake), nocturnal dipping, and morning surge were evaluated. Food consumption was classified according to NOVA. Associations were tested by generalized linear models. The consumption of unprocessed, minimally processed foods, and culinary ingredients (U/MPF&CI) was 63.1% of daily caloric intake, 10.8% of processed (PF), and 24.8% of ultraprocessed (UPF). A negative association was found between U/MPF&CI consumption and extreme dipping (T2: odds ratio [OR] = 0.56, 95% confidence interval [CI] = 0.55-0.58; T3: OR = 0.55; 95% CI = 0.54-0.57); and between UPF consumption and nondipping (T2: OR = 0.68, 95% CI = 0.55-0.85) and extreme dipping (T2: OR = 0.63, 95% CI = 0.61-0.65; T3: OR = 0.95, 95% CI = 0.91-0.99). There was a positive association between PF consumption and extreme dipping (T2: OR = 1.22, 95% CI = 1.18-1.27; T3: OR = 1.34, 95% CI = 1.29-1.39) and sleep SBP variability (T3: Coef = 0.56, 95% CI = 0.03-1.10).The high consumption of PF was associated with greater BP variability and extreme dipping, while the U/MPF&CI and UPF consumption were negatively associated with alterations in nocturnal dipping.

Keywords

Cross-Sectional Studies, Risk Factors, Hypertension, Humans, Blood Pressure, Blood Pressure Monitoring, Ambulatory, Circadian Rhythm

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Top 10%
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