Food groupings used in dietary patterns analyses.

<div><p>The increased burden of non-communicable diseases (NCDs) is fueled by lifestyle factors including diet. This cross-sectional study explored among Tanzanian adults whether unhealthy dietary patterns are associated with intestinal and systemic inflammation which could increase the risk of NCDs. The study included 574 participants, with both diet and inflammatory markers data. Dietary patterns were derived using principal component analysis and reduced rank regression, revealing three main patterns: vegetable-rich, vegetable-poor, and carbohydrate-dense diets. Fecal myeloperoxidase (MPO) and neopterin (NEO) were markers of intestinal inflammation whereas plasma lipopolysaccharide-binding protein (LBP) and C-reactive protein (CRP) were assessed as markers of systemic inflammation. Ordinal logistic regression was used to assess associations between terciles of dietary patterns and quintiles of the inflammatory markers adjusting for potential confounders. High adherence to a vegetable-poor dietary pattern was associated with elevated MPO (adjusted OR, 1.7 95% CI 1.1, 2.8). NEO tended to be higher in people with high adherence to both vegetable-poor pattern (adjusted OR, 2.6 95% CI 1.0, 6.4) and vegetable-rich pattern (adjusted OR, 2.7, 95% CI 1.1, 6.5). No associations were found between dietary patterns and systemic inflammation markers (LBP and CRP). We found links between dietary vegetable intake and intestinal inflammation but not systemic inflammation. However, the cross-sectional nature of the study limits establishing causality and the sample size for some variables may have been inadequate, emphasizing the need for further studies to understand how dietary habits influence inflammation in this population.</p></div>

Publication Details

Journal
Figshare
Published
2024-12-30
DOI
https://doi.org/10.1371/journal.pone.0311693.s001
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Food groupings used in dietary patterns analyses.

Figshare
Nutritional Studies and Diet
article

Food groupings used in dietary patterns analyses.

article en

Abstract

<div><p>The increased burden of non-communicable diseases (NCDs) is fueled by lifestyle factors including diet. This cross-sectional study explored among Tanzanian adults whether unhealthy dietary patterns are associated with intestinal and systemic inflammation which could increase the risk of NCDs. The study included 574 participants, with both diet and inflammatory markers data. Dietary patterns were derived using principal component analysis and reduced rank regression, revealing three main patterns: vegetable-rich, vegetable-poor, and carbohydrate-dense diets. Fecal myeloperoxidase (MPO) and neopterin (NEO) were markers of intestinal inflammation whereas plasma lipopolysaccharide-binding protein (LBP) and C-reactive protein (CRP) were assessed as markers of systemic inflammation. Ordinal logistic regression was used to assess associations between terciles of dietary patterns and quintiles of the inflammatory markers adjusting for potential confounders. High adherence to a vegetable-poor dietary pattern was associated with elevated MPO (adjusted OR, 1.7 95% CI 1.1, 2.8). NEO tended to be higher in people with high adherence to both vegetable-poor pattern (adjusted OR, 2.6 95% CI 1.0, 6.4) and vegetable-rich pattern (adjusted OR, 2.7, 95% CI 1.1, 6.5). No associations were found between dietary patterns and systemic inflammation markers (LBP and CRP). We found links between dietary vegetable intake and intestinal inflammation but not systemic inflammation. However, the cross-sectional nature of the study limits establishing causality and the sample size for some variables may have been inadequate, emphasizing the need for further studies to understand how dietary habits influence inflammation in this population.</p></div>

Figshare
No poverty
Openalex Percentile: Top 44%
Nutritional Studies and Diet
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.