eISSN: 2791-173X editor@grpublishing.org
All Journals
Submit your article

Global Multidisciplinary Journal

Open Access Peer Review International
Open Access

DIURNAL EFFECT OF PM10 AND NOX ON CHRONIC OBSTRUCTIVE PULMONARY DISEASE AND ASTHMA IN ABUJA NIGERIA

DOI https://doi.org/10.55640/gmj/Volume03Issue12-03
PDF
Christabel Ihedike 1 , Mselenge Mdegela 1 , John D MooneY 1 , Godson R.E.E. Ana 1 , Jonathan Ling 1 ,
4 University of Sunderland, Public health department, Faculty of health and wellbeing
4 University of Greenwich, Public health department, Faculty of health and education
4 Aberdeen University Institute of Applied Health Science Aberdeen United Kingdom
4 University of Ibadan Nigeria, Environmental Health Sciences department, Faculty of Public health
4 Independent Researcher Darlington England

Abstract

Introduction: Air pollution is emerging as a crucial risk factor for respiratory health problems like Chronic Obstructive Pulmonary Disease (COPD) and asthma in developing countries, including Nigeria where air pollutant concentrations are elevated. In these countries, urban and peri-urban areas like Abuja bear the bulk of the problem. Nevertheless, data on the health effects of air pollution and pollutants are limited. This study aimed to critically examine the health effects of particulate matter less than 10 μg/m3 (PM10), and nitrogen dioxide (NO2) in Abuja FTC, Nigeria. 

Methodology: The diurnal effect of PM10, and NO2 concentrations was used to examine COPD and asthma patients due to exposure to these pollutants from November 2015 to December 2018.  PM10 and NO2   air concentrations were monitored by the Nigerian Metrological Agency throughout the study. The 402 participants recruited were part of a major study which examined the effect of photochemical smog on COPD and asthma patients. For this study, participants completed the Medical Research Council (MRC) dyspnoea questionnaire; lung function tests was performed to determine the airway obstructive level in association with the pollutant at varying concentrations.  

Results: The 24-hour mean of PM10 was 296.7µg/m3, and the NO2 1-hour mean was 253.1µg/m3, which are both higher than the WHO set thresholds.  The diurnal variation of PM10 varied from an average of 149.5µg/m3 in the morning to 345.3µg/m3 during the afternoon (dry season) and 108.5µg/m3 to 250.4µg/m3 (wet season). The PM10 increase was significantly associated with decreased forced expiration volume (FEV)1 and forced vital capacity (FVC) in the participants (-786, P=.000); with a moderate significant association between NOx and FVC (-.582, P= .018). A significant association was also observed between PM10 with Dyspnoea (-.786, P=.000). When we stratified for gender, it was observed that women had a higher significance P=.001 and for every 10 μg/m3 increase in NO2 and PM10 concentration above the WHO recommended 24hr thresholds, the relative risk for developing respiratory symptoms was 1.09 (95% CI: 1.07 to 1.05) and 1.06 (95% CI: 1.01 to 1.10), respectively.

Conclusion/Recommendation: There is high level of pollutant concentration with strong association with COPD and asthma symptoms in FCT Abuja. Immediate policies and actions are needed to reduce pollutants from various sources including from transport and energy manufacturing facilities.

Keywords

COPD, asthma, Air pollution, PM10, NO2, FCT Abuja, Nigeria

References

📄 Caiazzo, F. Ashok, A. Waitz I, Yim, S, Steven R.H. Barrett S, (2013) Air pollution and early deaths in the United States. Part I: Quantifying the impact of major sectors in 2005. Atmospheric Environment, 198-208.
📄 Doiron D., Hoogh K, Probst-Hensch N., Fortier I., Cai Y., Matteis S, Hansell A (2019) European Respiratory Journal 2019 54: 1802140; DOI: 10.1183/13993003.02140-2018
📄 Forouzanfar, M. H., Alexander, L., Anderson, H. R., Bachman, V. F., Biryukov, S., Brauer, M., Burnett, R., Casey, D., Coates, M. M., Cohen, A., Delwiche, K., Estep, K., Frostad, J. J., Astha, K. C., Kyu, H. H., Moradi-Lakeh, M., Ng, M., Slepak, E. L., Thomas, B. A., … Murray, C. J. (2015). Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet (London, England), 386(10010), 2287–2323. https://doi.org/10.1016/S0140-6736(15)00128-2
📄 Frost J (2020) Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions
📄 Gasparrini A, & Leone M (2014) Attributable risk from distributed lag models BMC Med. Res. Methodol., 14 (1) (2014), pp. 1-8, 10.1186/1471-2288-14-55/FIGURES/3
📄 Gasparrini, A. (2014). Modeling exposure–lag–response associations with distributed lag non‐linear models. Statistics in medicine, 33(5), 881-899., 10.1002/sim.5963
📄 Hopkins, S., Dettori, J. R., & Chapman, J. R. (2018). Parametric and Nonparametric Tests in Spine Research: Why Do They Matter? Global spine journal, 8(6), 652–654. https://doi.org/10.1177/2192568218782679
📄 Huang, J., Yang, X., Fan, F., Hu, Y., Wang, X., Zhu, S., … Wang, G. (2021). Outdoor air pollution and the risk of asthma exacerbations in single lag0 and lag1 exposure patterns: a systematic review and meta-analysis. Journal of Asthma, 59(11), 2322–2339. https://doi.org/10.1080/02770903.2021.2008429
📄 IBM (2020) Version 28 of the Statistical Package for the Social Sciences (SPSS)
📄 Ihedike C and Ling J. (2022). Effect of Ozone on COPD and asthma patients in Abuja Nigeria. J Nur Pri Heal Car: JNPHC, 101.
📄 Ihedike, C., Mooney, J., & Ling, J.(2023) The Effect of PM10 and NOx on COPD and Asthma Patients in Abuja Nigeria. OAJRC Envi ronmental Science, 4(1), 1-9. DOI: 10.26855/oajrces.2023.06.001
📄 ISBN-13 978-1735431154
📄 Liu, S., Jørgensen, J. T., Ljungman, P., Pershagen, G., Bellander, T., Leander, K., ... & Andersen, Z. J. (2021). Long-term exposure to low-level air pollution and incidence of chronic obstructive pulmonary disease: the ELAPSE project. Environment international, 146, 106267.
📄 Liu, S., Zhou, Y., Liu, S., Chen, X., Zou, W., Zhao, D., ... & Ran, P. (2017). Association between exposure to ambient particulate matter and chronic obstructive pulmonary disease: results from a cross-sectional study in China. Thorax, 72(9), 788-795.10.1136/THORAXJNL-2016-208910
📄 Mebrahtu T.F., Santorelli G., Yang T.C., Wright J., Tate J., McEachan R.R. (2023) The effects of exposure to NO2, PM2.5 and PM10 on health service attendances with respiratory illnesses: A time-series analysis Environmental Pollution. https://doi.org/10.1016/j.envpol.2023.122123
📄 Orellano P, Quaranta N, Reynoso J, Balbi B, &Vasquez J,(2017)Effect of outdoor air pollution on asthma exacerbations in children and adults: systematic review and multilevel meta-analysis’12(3Q. Sun (Ed.), PLOS ONE (2017), Article e0174050, 10.1371/journal.pone.0174050
📄 Park, J., Kim, H. J., Lee, C. H., Lee, C. H., & Lee, H. W. (2021). Impact of long-term exposure to ambient air pollution on the incidence of chronic obstructive pulmonary disease: a systematic review and meta-analysis. Environmental Research, 194, 110703.10.1016/J.ENVRES.2020.110703
📄 Pratama A, Joni Arliansyah, and Melawaty Agustien(2019) Analysis of Air Pollution due to Vehicle Exhaust Emissions on The Road Networks of Beringin Janggut Area. Journal of Physics 1-9.
📄 Ranganathan P. (2021). An Introduction to Statistics: Choosing the Correct Statistical Test. Indian journal of critical care medicine: peer-reviewed, official publication of Indian Society of Critical Care Medicine, 25(Suppl 2), S184–S186. https://doi.org/10.5005/jp-journals-10071-23815
📄 Salimi, F., Stasinska, A., Morgan, G.G., Hankey, G.J., Almeida, O., Yeap, B., Flicker, L., Heyworth, J(2017)Long-term exposure to low air pollutant concentrations and hospitalisation for respiratory diseases in older men: a prospective cohort study in Perth, Australia
📄 Schikowski, T., Adam, M., Marcon, A., Cai, Y., Vierkötter, A., Carsin, A. E., & Künzli, N. (2014). Association of ambient air pollution with the prevalence and incidence of COPD. European Respiratory Journal, 44(3), 614-626. 10.1183/09031936.00132213
📄 Tornevi, A., Olstrup, H., & Forsberg, B. (2022). Short-Term Associations between PM10 and Respiratory Health Effects in Visby, Sweden. Toxics, 10(6), 333. https://doi.org/10.3390/toxics10060333
📄 World Health Organisation (2018) 9 out of 10 people worldwide breathe polluted air, but more countries are taking action. https://www.who.int/news-room/detail/02-05-2018-9-out-of-10-people-worldwide-breathe-polluted-air-but-more-countries-are-taking-action
📄 World Health Organisation (2021) WHO global air quality guidelines: particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulphur dioxide and carbon monoxide https://www.who.int/publications/i/item/9789240034228
📄 World Health Organisation (2022) Air pollution: Overview https://www.who.int/health-topics/air-pollution#tab=tab_1
📄 World Population review (2020) World Population by Country in 2020 (World Map) | database.earth

How to Cite

Christabel Ihedike, Mselenge Mdegela, John D MooneY, Godson R.E.E. Ana, & Jonathan Ling. (2024). DIURNAL EFFECT OF PM10 AND NOX ON CHRONIC OBSTRUCTIVE PULMONARY DISEASE AND ASTHMA IN ABUJA NIGERIA. Global Multidisciplinary Journal, 3(12), 16-23. https://doi.org/10.55640/gmj/Volume03Issue12-03

Most read articles by the same author(s)

<< < 2 3 4 5 6 7 8 9 10 11 > >> 

Similar Articles

1-10 of 13

You may also start an advanced similarity search for this article.