Correlation between COHb, HIF-1α levels, and smoking habits with physical fatigue in online motorcycle taxi drivers
Abstract
Online motorcycle taxi drivers have varying working hours and rest periods which can influence the occurrence of fatigue among them. Additionally, working on the road made them exposed to air pollution, including carbon monoxide. Several studies have reported a relationship between carbon monoxide and fatigue levels in specific types of occupations. Therefore, the aim of this study is to determine the correlation between smoking habits, occupational factors, carboxyhemoglobin (COHb) levels, and work fatigue, as well as the correlation between hypoxia inducible factor 1-alpha (HIF-1α) and COHb levels. Demographic characteristics, smoking habits, and occupational factors were measured using a questionnaire. COHb and HIF-1α levels were measured through blood biomarker examinations, while fatigue levels were assessed using the IFRC questionnaire. Data analysis was conducted using Spearman correlation tests in the SPSS program. The results showed that majority of respondents were male (87%), with the highest age range being 19-44 yr (85.5%). More than 50% of respondents were classified as overweight or obese. The majority of them were light smokers (78.3%). Most respondents had normal COHb levels, and in terms of fatigue levels, a larger proportion experienced mild fatigue (66.7%). No correlation between COHb levels, smoking habits, occupational factors, and fatigue levels as well as between HIF-1α and COHb levels (p>0.05). In conclusion, no correlation is found between COHb levels, smoking habits, occupational factors, and fatigue levels. Similarly, there is no correlation between HIF-1α and COHb levels.
References
Azka RM. Berapa sih jumlah pengemudi ojek online?. Bisnis.com. 2019 Nov. Available from: https://ekonomi.bisnis.com/read/20191112/98/1169620/berapa-sih-jumlah-pengemudi-ojek-online-simak-penelusuran-bisnis.com Accessed at 3 January 2022
Truong L, Tay R, Nguyen H. Investigating health issues of motorcycle taxi drivers: A case study of Vietnam. J Transp Health, 2021; 20(3):100999.
https://doi.org/10.1016/j.jth.2020.100999
Sanchez HM, Sanchez EGM, Barbosa MA, Porto CC, Approbato MS. Comparison of quality of life and work ability of taxi and motorcycle taxi drivers: Evidence from Brazil. Int J Environ Res Public Health, 2019; 16(4):666.
https://doi.org/10.3390/ijerph16040666
Sadeghniiat-Haghighi K, Yazdi Z. Fatigue management in the workplace. Ind Psychiatry J, 2015; 24(1):12-7.
https://doi.org/10.4103/0972-6748.160915
Tian F, Shu Q, Cui Q, Wang L, Liu C, Wu H. The mediating role of psychological capital in the relationship between occupational stress and fatigue: A cross-sectional study among 1,104 Chinese physicians. Front Public Health, 2020; 8:12.
https://doi.org/10.3389/fpubh.2020.00012
Glèlè-Ahanhanzo Y, Kpozèhouen A, Paraïso N, Makoutodé P, Biaou C, Remacle E, et al. Disability and related factors among road traffic accident victims in benin: study from five public and faith-based hospitals in urban and suburban areas. Open J Epidemiol, 2018; 08(04):226-41.
https://doi.org/10.4236/ojepi.2018.84018
Tang FC, Li RH, Huang SL. The association between job-related psychosocial factors and prolonged fatigue among industrial employees in Taiwan. PLoS One, 2016; 11(3):e0150429.
https://doi.org/10.1371/journal.pone.0150429
Silva LA da, Robazzi ML do CC, Terra F de S. Relation between workplace accidents and the levels of carboxyhemoglobin in motorcycle taxi drivers. Rev Lat Am Enfermagem, 2013; 21(5):1119-26.
https://doi.org/10.1590/S0104-11692013000500015
Harrison H, Pegg HJ, Thompson J, Bates C, Shore P. HIF1-alpha expressing cells induce a hypoxic-like response in neighbouring cancer cells. BMC Cancer, 2018; 18(1):674.
https://doi.org/10.1186/s12885-018-4577-1
Semenza GL, Prabhakar NR. The role of hypoxia-inducible factors in carotid body (patho) physiology. J Physiol, 2018; 596(15):2977-83.
https://doi.org/10.1113/JP275696
Tarwaka, Solikhul H, Sudiajeng L. Ergonomi untuk keselamatan, kesehatan kerja dan produktivitas. [Tesis]. Surakarta: UNIBA; 2004.
Chen CF. Investigating the effects of job stress on the distraction and risky driving behaviors of food delivery motorcycle riders. Saf Health Work, 2023; 14(2):207-14.
https://doi.org/10.1016/j.shaw.2023.03.004
Ferusgel A, Butar-Butar MH, Widya A, Napitupulu LH, Chaniago AD. Risk factors of an online motorcycle taxi (ojek online) fatigue in Medan. Adv Health Sci Res, 2020; 24:76-80.
https://doi.org/10.2991/ahsr.k.200311.014
Simatupang MM, Veronika E, Irfandi A, Garmini R. Environmental health risk assessment of air pollutants in online motorcycle taxi drivers in the special capital region of Jakarta. J Kes Ling, 2022; 14(2):114-21.
https://doi.org/10.20473/jkl.v14i2.2022.114-121
Effendi L, Syadiah T. Analysis of factors associated with subjective fatigue among motorcycle drivers in online ojek. In: Internationalization of Islamic Higher Education Institutions Towards Global Competiveness. Semarang; 2018. p. 139-45.
Nurhafizhah T, Susilowati IH, Maulana A, Habibullah MF. Safety and fatigue risk factors among online motorcycle drivers in Depok City, Indonesia. KnE Life Sci, 2018; 4(5):702.
https://doi.org/10.18502/kls.v4i5.2600
Ergin C, Yurdalan SU, Demirbuken I, Zengin O. Fatigue and physical activity levels of smoking and non-smoking healthy sedentary individuals. Clin Exp Health Sci, 2016; 6(2):51-5.
https://doi.org/10.5152/clinexphealthsci.2016.036
Li H, Zhao J, Liang J, Song X. Exploring causal effects of smoking and alcohol related lifestyle factors on self-report tiredness: A Mendelian randomization study. PLoS One, 2023; 18(6):e0287027.
https://doi.org/10.1371/journal.pone.0287027
Chen H, Saad S, Sandow SL, Bertrand PP. Cigarette smoking and brain regulation of energy homeostasis. Front Pharmacol, 2012; 3:147.
https://doi.org/10.3389/fphar.2012.00147
Corwin EJ, Klein LC, Rickelman K. Predictors of fatigue in healthy young adults: moderating effects of cigarette smoking and gender. Biol Res Nurs, 2002; 3(4):222-33.
https://doi.org/10.1177/109980040200300407
Ferreira AI, Ferreira P, Cooper C, Oliveira D. How daily negative affect and emotional exhaustion correlates with work engagement and presenteeism-constrained productivity. Int J Stress Manag, 2019; 26(3):261-71.
https://doi.org/10.1037/str0000114
Härmä M, Karhula K, Puttonen S, Ropponen A, Koskinen A, Ojajärvi A, et al. Shift work with and without night work as a risk factor for fatigue and changes in sleep length: A cohort study with linkage to records on daily working hours. J Sleep Res, 2019; 28(3):e12658.
https://doi.org/10.1111/jsr.12658
Armstrong-Carter E, Fuligni AJ, Wu X, Gonzales N, Telzer EH. A 28-day, 2-year study reveals that adolescents are more fatigued and distressed on days with greater NO2 and CO air pollution. Sci Rep, 2022; 12(1):17015.
https://doi.org/s41598-022-20602-z
Rose JJ, Wang L, Xu Q, McTiernan CF, Shiva S, Tejero J, et al. Carbon monoxide poisoning: pathogenesis, management, and future directions of therapy. Am J Respir Crit Care Med, 2017; 195(5):596-606.
https://doi.org/10.1164/rccm.201606-1275CI
Acharya SP, Purpura A, Kao L, House DR. Incidence and risk factors for carbon monoxide poisoning in an emergency department in Nepal. Toxicol Commun, 2022; 6(1):13-9.



