# Beverage patterns, blood pressure, and proteinuria among West Africans with chronic kidney disease: a cross-sectional analysis of the diet, CKD, and apolipoprotein L1 study

**Authors:** Rayan Djelmami-Hani, Tolulope Adebile, Runqi Zhao, Edward Kwakyi, Oluwatoyin Amira, Bolanle Omotoso, Manmak Mamven, Yemi Raheem Raji, Adaobi Solarin, Theophilus Umeizudike, Ernestina Eduful, Bola Fatima Olokode, Nanna Ripiye, Tolulope Oluwadare, Rotimi Braimoh, Chinwuba Ijoma, Amisu A. Mumuni, Yvette Cozier, Lisa Quintiliani, Fatiu Arogundade, Babatunde Salako, Rulan Parekh, Rasheed A. Gbadegesin, Josee Dupuis, Ifeoma Ulasi, Dwomoa Adu, Akinlolu Ojo, Sushrut Waikar, Diane Mitchell, Cheryl Anderson, Titilayo O. Ilori

PMC · DOI: 10.3389/fnut.2026.1724375 · Frontiers in Nutrition · 2026-02-06

## TL;DR

This study explores how different beverage consumption patterns in West Africa may affect blood pressure and kidney health in people with chronic kidney disease.

## Contribution

The study identifies unique beverage patterns in West Africa and explores their associations with blood pressure and proteinuria in individuals with CKD.

## Key findings

- The Milk and Milk Products beverage pattern showed a positive association with systolic blood pressure in adjusted analyses.
- No beverage patterns showed consistent associations with systolic or diastolic blood pressure.
- An exploratory analysis suggested a stronger association between the Milk and Milk Products pattern and blood pressure among individuals with diabetes.

## Abstract

Beverage intake is an important yet understudied contributor to blood pressure (BP) and proteinuria. This is particularly relevant in sub-Saharan Africa, where rapid shifts toward sugar-sweetened beverages (SSBs) and ultra-processed beverages, driven by affordability and aggressive marketing, are occurring alongside a high burden of Chronic Kidney Disease (CKD) within resource-limited health systems. Additionally, there are cultural differences within African populations that make beverage patterns in sub-Saharan Africa differ across populations and from Western cultures.

We conducted a cross-sectional analysis of 494 participants in the Diet, CKD, and APOL1 (DCA) Study cohort in West Africa. We assessed beverage consumption from 24-h dietary recalls and patterns using principal component analysis. We analyzed associations of beverage patterns with systolic BP (SBP), diastolic BP (DBP), and proteinuria using univariate and multivariable linear mixed-effects regression models. We adjusted for covariates, such as clinical site (random effect), socio-demographic factors, and lifestyle factors.

We identified 4 unique beverage patterns: (i) SSB and Alcohol, (ii) Milk and Alcohol, (iii) SSB and Water without Alcohol, and (iv) Milk and Milk Products. No beverage patterns showed consistent association with SBP or DBP, and sensitivity analyses of individual beverages yielded null findings. In adjusted analyses, the Milk and Milk Products beverage pattern showed a positive association with SBP (Tertile 2 vs. 1: β = 5.61 mm Hg; 95% CI: 1.54–9.57) and a directionally consistent but not significant association in tertile 3 vs. tertile 1. An exploratory interaction suggested a stronger positive association of this pattern with SBP among individuals with diabetes.

The Milk and Milk Products beverage pattern may be associated with higher SBP in adults with CKD in West Africa, with a potentially stronger association among those with diabetes. Given that no associations remained significant after false discovery rate correction, these findings should be interpreted cautiously. Future studies are needed to confirm these findings and clarify their long-term implications for kidney and cardiovascular health.

## Linked entities

- **Diseases:** Chronic Kidney Disease (MONDO:0005300), diabetes (MONDO:0005015)

## Full-text entities

- **Genes:** APOL1 (apolipoprotein L1) [NCBI Gene 8542] {aka APO-L, APOL, APOL-I, FSGS4}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}
- **Diseases:** maturity-onset diabetes (MESH:D003924), New York Heart Association Class III or IV heart failure (MESH:D006333), obesity (MESH:D009765), Kidney Disease (MESH:D007674), chronic obstructive uropathy (MESH:C536483), OA (MESH:D010003), metabolic disease (MESH:D008659), polycystic kidney disease (MESH:D007690), proteinuria (MESH:D011507), Hypertension (MESH:D006973), mitochondrial disease (MESH:D028361), glomerulonephritis (MESH:D005921), inflammation (MESH:D007249), cirrhosis (MESH:D005355), Hyperlipidemia (MESH:D006949), albuminuria (MESH:D000419), Hyperglycemia (MESH:D006943), DM (MESH:D009223), CKD (MESH:D051436), insulin resistance (MESH:D007333), kidney failure (MESH:D051437), diabetes (MESH:D003920), sodium (MESH:C562576)
- **Chemicals:** Lipid (MESH:D008055), dietary sugar (MESH:D000073417), polyphenol (MESH:D059808), Water (MESH:D014867), Glucose (MESH:D005947), creatinine (MESH:D003404), Alcohol (MESH:D000438), Sugar (MESH:D000073893), phosphates (MESH:D010710), sodium (MESH:D012964), BP-lowering medications (-)
- **Species:** Bos taurus (bovine, species) [taxon 9913], Zingiber officinale (ginger, species) [taxon 94328], Human immunodeficiency virus 1 (no rank) [taxon 11676], Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

57 references — full list in the complete paper: https://tomesphere.com/paper/PMC12920209/full.md

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Source: https://tomesphere.com/paper/PMC12920209