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November 9, 2025CureusOpen Access

Age links most strongly to hypertension among transport workers with a ~33% overall prevalence.

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Why the study?

Transport workers face multiple health risks and undiagnosed hypertension among commercial drivers may lead to severe road accidents, prompting evaluation of the multidimensional relationships among hypertension risk factors.

Population

682 transport workers (≥18 years) in Ibadan, Nigeria

Design

Cross-sectional study

Key result

Age exerted the strongest direct effect on hypertension (β = 0.210), followed by body fat distribution and lifestyle factors, in a population of transport workers with an overall hypertension prevalence of 33.3%.

Authors

OAOlajide AkinpeloyeAOAkpa OnojaAAAbdulazeez Alabi

Discussion

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Member takes

Overview

May inform occupational hypertension screening in transport workers; leaves open causal pathways for longitudinal confirmation.

Study Design

Type

Cross-Sectional (n=682)

Multicenter

No

Structured PICO

P
Population
682 transport workers aged 18 to 67 years in Ibadan, Nigeria, were assessed for sociodemographic, lifestyle, and body fat distribution risk factors associated with hypertension.
O
Outcome
Prevalence and determinants of hypertension (systolic blood pressure ≥140 mmHg and/or diastolic blood pressure ≥90 mmHg or self-reported use of antihypertensive medication)surrogate

Main Result

Effect estimate: β = 0.210 (95% CI 0.071-0.349)

p-value: p=0.003

Hypertension is highly prevalent (33.3%) among transport workers in Nigeria, driven primarily by age, central obesity, and modifiable lifestyle factors like alcohol use and physical inactivity.

Limitations

  • Cross-sectional design cannot establish causal relationships between the identified risk factors and hypertension.
  • Information on lifestyle behaviors such as smoking, alcohol use, and sleep quality was self-reported, which may introduce recall or social desirability bias.
  • The sample was limited to transport workers in Ibadan, which may restrict the generalizability of the findings to other populations or regions.
  • Females accounted for only about 20% of participants, reflecting the male-dominated nature of the transport sector.

Cite This Study

Akinpeloye et al. (2025) conducted a cross-sectional in Hypertension (n=682). Sociodemographic, lifestyle, and body fat distribution factors vs. Unexposed/reference groups was evaluated on Hypertension (direct effect of age via Structural Equation Modeling) (β = 0.210, 95% CI 0.071-0.349, p=0.003). Age exerted the strongest direct effect on hypertension (β = 0.210), followed by body fat distribution and lifestyle factors, in a population of transport workers with an overall hypertension prevalence of 33.3%.

synapsesocial.com/papers/6a215d645c0c8498e257f1edhttps://doi.org/10.7759/cureus.96458
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Exploring the Sociodemographic, Clinical, and Lifestyle Determinants of Hypertension Among Sedentary Workers: A Cross‐Sectional Study in the Cape Coast Metropolis2025
  2. 2Prevalence of Hypertension and Its Anthropometric and Behavioural Correlates Among Primary Healthcare Workers in South-East Nigeria: A Cross-Sectional Study2026
  3. 3Prevalence of Hypertension and Its Anthropometric and Behavioural Correlates Among Primary Healthcare Workers in South-East Nigeria: A Cross-Sectional Study2026
  4. 4Knowledge, practices and prevalence of hypertension among poor urban community dwellers in Ibadan, South-Western Nigeria2025
  5. 5Knowledge, practices and prevalence of hypertension among poor urban community dwellers in Ibadan, South-Western Nigeria2025