Prevalence and driving-related factors influencing prediabetes and diabetes among commercial drivers in Benin City metropolis, Edo State, Nigeria

Authors

  • J. E. Moyegbone
    Department of Environmental and Public Health, Faculty of Optometry, University of Benin, Benin City, Edo State, Nigeria
  • P. Onyema
    Department of Optometry, Faculty of Allied Health Science, Bingham University, Karu, Nasarawa State, Nigeria
  • O. C. Madubuattah
    Department of Environmental and Public Health, Faculty of Optometry, University of Benin, Benin City, Edo State, Nigeria
  • E. O. Emurotu
    Department of Optometry, Faculty of Allied Medical Science, Dennis Osadebey University, Asaba, Delta State, Nigeria
  • E. E. Oronsaye
    Department of Optometry, Faculty of Allied Health Science, Bingham University, Karu, Nasarawa State, Nigeria
  • P. T. Osunu
    Department of Public Health, Faculty of Health Sciences, Bayelsa Medical University, Yenagoa, Bayelsa State, Nigeria
  • J. A. Ebeigbe
    Department of Environmental and Public Health, Faculty of Optometry, University of Benin, Benin City, Edo State, Nigeria
  • E. U. Nwose
    Department of Public and Community Health, College of Health Sciences, Novena University, Ogume, Delta State, Nigeria

Keywords:

Blood sugar, Diabetes, Commercial driver, Prediabetes, Road traffic accident

Abstract

 

This study aimed to describe the prevalence and driving-related risk-factors influencing prediabetes and diabetes in commercial drivers, Benin City metropolis, Edo State, Nigeria. Descriptive cross-sectional study of public transport drivers aged between 20 - 70 years (mean age 48.09 ± 11.21 years) was conducted in Benin City. Purposive-sampling technique was used to recruit 341 subjects into the survey. Structured questionnaires were administered to all participants to collect their demographic and personal information. Fasting blood sugar (FBS) values were obtained using ACCU-CHEK Active Model: GB 31041669 device. Normal, prediabetes and diabetes FBS values were considered as 70 - 99 mg/dL, 100 - 125 mg/dL and greater than 125 mg/dL, respectively. SPSS version 29 was used to analyse information obtained. Significant level considered was at probability less than 0.05. Majority of respondents were males (95.6%). Overall prevalence of prediabetes was 26.4%, and diabetes was 9.1%. The mean FBS was 99.90 mg/dl; the 50th and 75th percentile were 97.0 mg/dL, and 110.0 mg/dL respectively. Age, educational level, driving experience years, and daily driving hours were driving-related factors that significantly influenced prediabetes and diabetes (P < 0.05). High prevalence of prediabetes may progress to diabetes without intervention. Fatigue due to long hours of driving daily may be a predisposing factor to road traffic accident. We, therefore, recommend that driver’s unions should support commercial drivers to check their fasting blood sugar regularly.

   
Dimensions

[1] World Health Organization, “Diabetes”, Available: http://www.who.int/mediacentre/factsheets/fs312/en/.

[2] A. H. Aamir, Z. Ul-Haq, S. A. Mahar, F. M. Qureshi, I. Ahmad, A. Jawa, A. Sheikh, A. Raza, S. Fazid, Z. Jadoon, O. Ishtiaq, N. Safdar, H. Afridi & A. H. Heald, “Diabetes prevalence survey of Pakistan (DPS-PAK): prevalence of type 2 diabetes mellitus and prediabetes using HbA1c: a population-based survey from Pakistan”, BMJ Open 9 (2019) 1. https://doi.org/10.1136/bmjopen-2018-025300.

[3] M. R. Rooney, M. Fang, K. Ogurtsova, B. Ozkan, J. B. Echouffo-Tcheugui, E. J. Boyko, D. J. Magliano & E. Selvin, “Global prevalence of prediabetes”, Diabetes Care 46 (2023) 1388. https://doi.org/10.2337/dc22-2376.

[4] I. Aladeniyi, O. V. Adeniyi, O. Fawole & A. Ogunlaja, “The prevalence and correlates of pre-diabetes and diabetes mellitus among public category workers in Akure, Nigeria”, Open Public Health Journal 10 (2017) 167. https://doi.org/10.2174/1874944501710010167.

[5] E. U. Nwose, R. S. Richards, P. T. Bwititi & J. Butkowski, “Prediabetes and cardiovascular complications study (PACCS): international collaboration 4 years’ summary and future direction”, BMC Research Notes 10 (2017) 730. https://doi.org/10.1186/s13104-017-3017-7.

[6] A. O. Fajola, A. O. Isara, A. Alali & O. O. Olatosi, “Prevalence and risk factors of hypertension and diabetes mellitus in riverine communities in Nigeria’s Niger delta: implications for community-based interventions”, International Journal of Community Medicine and Public Health 11 (2024) 1038. https://doi.org/10.18203/2394-6040.ijcmph20240600.

[7] World Health Organization Regional Office for Africa, “Stakeholders call for increased access to diabetes education”, Available: https://www.afro.who.int/countries/nigeria/news/stakeholders-call-increased-access-diabetes-education.

[8] M. Bashir, A. Yahaya, M. Muhammad & A. Bello, “Prediabetes burden in Nigeria: a systematic review and meta-analysis”, Frontiers in Public Health 9 (2021) 762429. https://doi.org/10.3389/fpubh.2021.762429.

[9] T. E. Tarigan, E. Purwaningsih, Yusra & S. Hidayat, “Estimating the incidence of prediabetes and type 2 diabetes among taxi drivers in Indonesia”, Journal of Natural Science, Biology and Medicine 10 (2019) S150. https://jnsbm.org/estimating-the-incidence-of-prediabetes-and-type-2-diabetes-among-taxi-drivers-in-indonesia.

[10] S. Siu, K. Wong, K. Lee & C. Chan, “Prevalence of undiagnosed diabetes mellitus and cardiovascular risk factors in Hong Kong professional drivers”, Diabetes Research and Clinical Practice 96 (2012) 60. https://doi.org/10.1016/j.diabres.2011.12.002.

[11] M. A. Dina, A. Arshed & M. Bilal, “Diabetes mellitus in Pakistan: prevalence and preventive management strategies—a comprehensive literature review”, Cardiovascular Diabetology – Endocrinology Reports 11 (2025) 24. https://doi.org/10.1186/s40842-025-00235-7.

[12] O. Odeyinka & I. Ajayi, “Prevalence of hypertension and diabetes and their determinants among commercial drivers in Ibadan metropolis, south-western Nigeria”, Nigerian Journal of Cardiology 14 (2017) 75. https://doi.org/10.4103/njc.njc_11_17.

[13] S. E. Udayar, K. R. Kumar & B. A. P. Kumar, “Study of cardiovascular risk factors among transport drivers in rural area of Andhra Pradesh: Indian drivers survey”, International Journal of Research in Health Sciences 2 (2015) 420. https://njcmindia.com/index.php/file/article/view/1279.

[14] J. E. Moyegbone, E. E. Oronsaye, B. Osaiyuwu & C. O. Aigbiremolen, “Risk factors and prevalence of contrast sensitivity impairment among commercial motor vehicle drivers in Benin City, Nigeria”, Bioscience Review 7 (2025) 94. https://doi.org/10.32350/bsr.73.07.

[15] J. Moyegbone, E. Nwose & E. Anowa, “Prevalence of visual impairment among primary and secondary school children in Delta State, Nigeria”, Journal of Nigerian Optometric Association 25 (2023) 42. https://dx.doi.org/10.4314/jnoa.v25i1.7.

[16] S. Oyeniyi & I. Ajayi, “Prevalence of hypertension and associated risk factor among interstate commercial drivers in Jabi Park Abuja”, International Journal of Medicine and Medical Sciences 8 (2016) 75. https://doi.org/10.5897/IJMMS2016.1234.

[17] L. Ojewale & P. Adejumo, “Type 2 diabetes mellitus and impaired fasting blood glucose in urban south western Nigeria”, International Journal of Diabetes and Metabolism 21 (2012) 1. https://doi.org/10.1159/000497720.

[18] O. Ogunmola, A. Olaifa, O. Oladapo & A. Babatunde, “Prevalence of cardiovascular risk factors among adults without obvious cardiovascular disease in a rural community in Ekiti State, southwest Nigeria”, BMC Cardiovascular Disorders 13 (2013) 89. https://doi.org/10.1186/1471-2261-13-89.

[19] V. Oguoma, E. Nwose, T. Skinner & C. Digban, “Prevalence of cardiovascular disease risk factors among a Nigerian adult population: relationship with income level and accessibility to CVD risk screening”, BMC Public Health 15 (2015) 397. https://doi.org/10.1186/s12889-015-1709-2.

[20] B. Kasia, A. Oyeyemi & I. Opubiri, “Prevalence and risk factors of diabetes mellitus and prediabetes in rural communities in Bayelsa State, Niger delta region of Nigeria”, Niger Delta Medical Journal 4 (2020) 14. https://ndmjournal.org.ng/journal/december-2020/prevalence-and-risk-factors-of-diabetes-mellitus-and-pre-diabetes-in-rural-communities-in-bayelsa-state-niger-delta-region-of-nigeria/.

[21] O. G. Egbi & S. D. Ahmed, “Prevalence of diabetes mellitus in a rural, agrarian community in south-south Nigeria”, Research Journal of Health Sciences 8 (2020) 201. https://doi.org/10.4314/rejhs.v8i3.6.

[22] O. Agofure, O. Okandeji-Barry & P. Ogbon, “Pattern of diabetes mellitus complications and co-morbidities in Ughelli north local government area, Delta State, Nigeria”, Nigerian Journal of Basic and Clinical Sciences 17 (2020) 123. https://doi.org/10.4103/njbcs.njbcs_37_18.

[23] H. Oshilonya, S. Ijioma & I. Ibeh, “Prevalence of type-2 diabetes mellitus amongst suspected subjects in Agbor, Delta State, Nigeria and its relationship with age and gender”, Archives of Applied Science Research 7 (2015) 18. https://api.semanticscholar.org/CorpusID:32725263.

[24] G. Arugu & O. Maduka, “Risk factors for diabetes mellitus among adult residents of a rural district in southern Nigeria: implications for prevention and control”, Nigerian Journal of Clinical Practice 20 (2017) 1544. https://doi.org/10.4103/njcp.njcp_154_17.

[25] Centers for Disease Control and Prevention, “National diabetes statistics report”, Available: https://www.cdc.gov/diabetes/php/data-research/index.html.

[26] A. Uloko, B. Musa, M. Ramalan & S. Gezawa, “Prevalence and risk factors for diabetes mellitus in Nigeria: a systematic review and meta-analysis”, Diabetes Therapy 9 (2018) 1307. https://doi.org/10.1007/s13300-018-0441-1.

[27] American Diabetes Association, “Standards of medical care in diabetes—2022 abridged for primary care providers”, Clinical Diabetes 40 (2022) 10. https://doi.org/10.2337/cd22-as01.

[28] N. Adler & J. Stewart, “Health disparities across the lifespan: meaning, methods, and mechanisms”, Annals of the New York Academy of Sciences 1186 (2010) 5. https://doi.org/10.1111/j.1749-6632.2009.05337.x.

[29] J. E. Moyegbone, J. Okpoghono, A. B. Osaiyuwu & E. E. Oronsaye, “Impairment of depth perception and risk factors among commercial motor-vehicle drivers”, Transportation Research Interdisciplinary Perspectives 31 (2025) 101444. https://doi.org/10.1016/j.trip.2025.101444.

Prediabetes and diabetes prevalence in commercial drivers, Benin city metropolis.

Published

2026-03-23

How to Cite

Prevalence and driving-related factors influencing prediabetes and diabetes among commercial drivers in Benin City metropolis, Edo State, Nigeria. (2026). African Scientific Reports, 5(1), 449. https://doi.org/10.46481/asr.2026.5.1.449

Issue

Volume 5, Issue 1, April 2026 (In Progress)

Section

HEALTH & MEDICAL SCIENCES SECTION
Copyright & Licensing

Copyright (c) 2026 J. E. Moyegbone, P. Onyema, O. C. Madubuattah, E. O. Emurotu, E. E. Oronsaye, P. T. Osunu, J. A. Ebeigbe, E. U. Nwose

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Prevalence and driving-related factors influencing prediabetes and diabetes among commercial drivers in Benin City metropolis, Edo State, Nigeria. (2026). African Scientific Reports, 5(1), 449. https://doi.org/10.46481/asr.2026.5.1.449

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