Evidence map›Paper›PMID 41034866›Full record

SynthesisBMC public health2025

Hypertension in West Africa: a systematic review and meta-analysis of prevalence and associated risk factors.

Monday Nwankwo, Wusa Makena, Aisha Idris, Chikezie Jude Okamkpa, Anyanwu G Emeka, Elna Owembabazi, Elizabeth Bessy Umoren

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. TheInternational journal of hypertension · 2026
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Monday NwankwoDepartment of Human Anatomy, Faculty of Basic medical sciences,, College of Medicine, Federal University of Lafia,, Lafia, Nasarawa State, Nigeria. nmonday65@gmail.com.
Wusa MakenaDepartment of Human Anatomy, Faculty of Basic medical sciences,, College of Medicine, Federal University of Lafia,, Lafia, Nasarawa State, Nigeria.
Aisha IdrisDepartment of Human Physiology, Faculty of Basic Medical Sciences, College of Medicine, Kaduna State University, Kaduna, Nigeria.
Chikezie Jude OkamkpaDepartment of Human Anatomy, Faculty of Basic Medical Sciences, Enugu State University of Science and Technology, Enugu, Nigeria.
Anyanwu G EmekaDepartment of Human Anatomy, Faculty of Basic medical sciences,, College of Medicine, Federal University of Lafia,, Lafia, Nasarawa State, Nigeria.
Elna OwembabaziDepartment of Human Anatomy, Faculty of Basic medical sciences,, College of Medicine, Federal University of Lafia,, Lafia, Nasarawa State, Nigeria.
Elizabeth Bessy UmorenDepartment of Physiology, Faculty of Biomedical Sciences, Kampala International University, Western Campus, Bushenyi, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension remains a critical modifiable risk factor contributing to the global burden of cardiovascular disease. Despite its escalating prevalence in West Africa, comprehensive regional data on its epidemiological patterns and associated determinants remain sparse. This study addresses this gap through a systematic review and meta-analysis, synthesizing existing evidence on hypertension prevalence and its risk factors across West African populations.

methodsA comprehensive search was conducted across multiple databases, including PubMed/MEDLINE, Web of Science, Scopus, Embase, CINAHL, and other sources to identify observational studies reporting hypertension prevalence or associated risk factors in adults aged ≥ 18 years in West Africa. Studies were included if they employed standardized diagnostic criteria (SBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg or current antihypertensive medication use). Pooled prevalence estimates and odds ratios (ORs) for key risk factors were derived using random-effects meta-analysis. Heterogeneity was rigorously evaluated through prediction interval (PI), I² statistics, Q-tests, tau-squared, tau, and meta-regression analyses.

resultsThe analysis included 30 studies comprising 70,212 participants from 10 West African nations. The pooled prevalence of hypertension was estimated at 33.8% (95% CI: 29.3, 38.7%), with substantial heterogeneity (I² = 99.4%; PI = 13 to 63%). Several factors were significantly associated with hypertension risk: overweight status (OR = 1.61; 95% CI: 1.40–1.85; I² = 88.4%; PI: 0.93–2.78), obesity (OR = 2.26; 95% CI: 2.02–2.53; I² = 75.2%; PI: 1.50–3.41), alcohol use (OR = 1.23; 95% CI: 1.05–1.44; I² = 79%; PI: 0.67–2.25), type 2 diabetes mellitus (OR = 1.98; 95% CI: 1.52–2.59; I² = 82.2%; PI: 0.81–4.84), reduced physical activity (OR = 1.46; 95% CI: 1.09–1.94; I² = 78.1%; PI: 0.57–3.70), and a family history of hypertension (OR = 1.74; 95% CI: 1.31–2.32; I² = 52.6%; PI: 0.59–5.18). Smoking showed a marginal association (OR = 1.03; 95% CI: 0.80–1.32; I² = 80.9%; PI: 0.42–2.51). Age demonstrated a strong positive association (β = 0.0537, p < 0.001), explaining 67% of the variance in the meta-regression model. Heterogeneity remained high across all risk factor analyses (I² range: 52.6–88.4%), underscoring variability in regional epidemiological patterns.

conclusionCombating West Africa’s high hypertension burden requires integrated strategies focusing on lifestyle modification, early detection, and strengthened primary healthcare systems.

Indexed as

HypertensionAfrica, WesternHumansPrevalenceRisk FactorsCardiovascular diseaseEpidemiologyHypertensionMeta-analysisRisk factorsSystematic reviewWest africa

Identifiers

PMID41034866
PMCPMC12487251

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.