# Contextual variability in under-diagnosed cardiometabolic disease and cognitive vulnerability among populations at high risk for Alzheimer’s disease and related dementias

**Authors:** Nwanyieze Jiakponnah, Joseph Curran, Tamlyn Watermeyer, Jasmit Shah, Litha Musili, Stanley Onyango, Benard Aliwa, Andy Mackelfresh, Omonigho Michael Bubu, Chiadi Onyike, Ozioma Okonkwo, Zul Merali, Rufus Akinyemi, Timothy Hughes, Mansoor Saleh, Melissa Petersen, Karen Blackmon, Adesola Ogunniyi, Hugh Hendrie, Chinedu Udeh-Momoh

PMC · DOI: 10.21203/rs.3.rs-8570591/v1 · Research Square · 2026-01-23

## TL;DR

This study explores how underdiagnosed heart and metabolic conditions may contribute to dementia risk in African and diaspora populations.

## Contribution

The study identifies context-specific diagnostic gaps in cardiometabolic risk factors among high-risk populations for dementia.

## Key findings

- Underdiagnosis of hypertension and abnormal glycaemia was common in African cohorts.
- Elevated glucose was linked to cognitive impairment in Kenya and North Texas.
- Severe hypertension and diabetes were associated with Alzheimer’s biomarkers in North Texas.

## Abstract

Underdiagnosis of cardiometabolic risk factors (CMRFs) may represent an unrecognised biological pathway contributing to dementia risk; yet remains poorly characterised in African and African diaspora populations. We quantified the prevalence and determinants of underdiagnosed hypertension and abnormal glycaemia across four cohorts comprising up to 7,000 adults aged ≥ 40 years from Nigeria, Kenya, and The United States: Indianapolis, and North Texas. Underdiagnosis was defined as absence of self-reported diagnosis despite elevated systolic blood pressure (≥ 130 mmHg) or fasting blood glucose (≥ 100 mg/dL). Cohort-stratified analyses examined demographic, socioeconomic, cognitive, Alzheimer’s genetic, and blood-based biomarker correlates. Underdiagnosis was pervasive in African cohorts. Elevated fasting glucose was associated with cognitive impairment in Kenya and North Texas, while severe hypertension and diabetes were linked to Alzheimer’s disease-related biomarkers [pTau217/181, NFL and Aβ42/40] in North Texas (all p ≤ 0.05). These findings identify context-specific diagnostic gaps in populations at high dementia risk and highlight cardiometabolic detection as a mechanistic target for prevention.

## Linked entities

- **Diseases:** Alzheimer’s disease (MONDO:0004975), dementia (MONDO:0001627), diabetes (MONDO:0005015)
- **Species:** Homo sapiens (taxon 9606)

## Full-text entities

- **Genes:** NEFL (neurofilament light chain) [NCBI Gene 4747] {aka CMT1F, CMT2E, CMTDIG, NF-L, NF68, NFL}
- **Diseases:** cognitive impairment (MESH:D003072), abnormal glycaemia (MESH:D000014), diabetes (MESH:D003920), cardiometabolic disease (MESH:D024821), Alzheimer (MESH:D000544), hypertension (MESH:D006973), dementia (MESH:D003704)
- **Chemicals:** glucose (MESH:D005947)

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12869697/full.md

## References

46 references — full list in the complete paper: https://tomesphere.com/paper/PMC12869697/full.md

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Source: https://tomesphere.com/paper/PMC12869697