IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i4p2871-d1059835.html
   My bibliography  Save this article

Latent Trajectories of Haematological, Hepatic, and Renal Profiles after Oil Spill Exposure: A Longitudinal Analysis

Author

Listed:
  • Benjamin Atta Owusu

    (Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Pattani Campus, Pattani 94000, Thailand
    Multidisciplinary Research and Innovation Centre, Kumasi AOK569, Ghana
    Air Pollution and Health Effect Research Center, Prince of Songkla University, Hat Yai Campus, Songkhla 90110, Thailand
    Division of Digital Innovation and Data Analytics, Faculty of Medicine, Prince of Songkla University, Hat Yai Campus, Songkhla 90110, Thailand)

  • Apiradee Lim

    (Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Pattani Campus, Pattani 94000, Thailand
    Air Pollution and Health Effect Research Center, Prince of Songkla University, Hat Yai Campus, Songkhla 90110, Thailand)

  • Nitinun Pongsiri

    (Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Pattani Campus, Pattani 94000, Thailand
    Multidisciplinary Research and Innovation Centre, Kumasi AOK569, Ghana)

  • Chanthip Intawong

    (Occupational Medicine Department, Rayong Hospital, Rayong 21000, Thailand)

  • Sunthorn Rheanpumikankit

    (Rayong Provincial Public Health Office, Rayong 21000, Thailand)

  • Saijit Suksri

    (Rayong Provincial Public Health Office, Rayong 21000, Thailand)

  • Thammasin Ingviya

    (Air Pollution and Health Effect Research Center, Prince of Songkla University, Hat Yai Campus, Songkhla 90110, Thailand
    Division of Digital Innovation and Data Analytics, Faculty of Medicine, Prince of Songkla University, Hat Yai Campus, Songkhla 90110, Thailand
    Department of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai Campus, Songkhla 90110, Thailand)

Abstract

Exposure to polycyclic aromatic hydrocarbons (PAHs) and volatile organic compounds (VOCs) in crude oil has carcinogenic effects on various organ systems. This longitudinal cohort study examined the effects of oil spill exposure on the haematological, hepatic, and renal profiles of Rayong oil spill clean-up workers. The sample included 869 clean-up workers from the Rayong oil spill. Latent class mixture models were used to investigate and classify the longitudinal trajectories and trends of the haematological, hepatic, and renal indices. Subgroup analysis was used to evaluate the association between the urinary metabolites of PAHs and VOCs and haematological, hepatic, and renal parameters. Most clean-up workers (97.6%) had increasing levels of white blood cells (WBCs) (0.03 × 10 3 cells/µL), 94.90% of the workers had a significantly increasing trend of blood urea nitrogen (0.31 mg/dL per year), and 87.20% had a significantly increasing trend of serum creatinine (0.01 mg/dL per year). A high–decreasing trend of WBCs was seen in 2.42% (−0.73 × 10 3 per year). Post-exposure changes in haematological, renal, and hepatic profiles are present in workers exposed to the Rayong oil spill. This indicates possible long-term health complications and worsening renal function after exposure to PAHs and VOCs in crude oil.

Suggested Citation

  • Benjamin Atta Owusu & Apiradee Lim & Nitinun Pongsiri & Chanthip Intawong & Sunthorn Rheanpumikankit & Saijit Suksri & Thammasin Ingviya, 2023. "Latent Trajectories of Haematological, Hepatic, and Renal Profiles after Oil Spill Exposure: A Longitudinal Analysis," IJERPH, MDPI, vol. 20(4), pages 1-14, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:2871-:d:1059835
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/4/2871/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/4/2871/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diana Poli & Paola Mozzoni & Silvana Pinelli & Delia Cavallo & Bruno Papaleo & Lidia Caporossi, 2022. "Sex Difference and Benzene Exposure: Does It Matter?," IJERPH, MDPI, vol. 19(4), pages 1-17, February.
    2. Proust-Lima, Cécile & Philipps, Viviane & Liquet, Benoit, 2017. "Estimation of Extended Mixed Models Using Latent Classes and Latent Processes: The R Package lcmm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 78(i02).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mélissa Lemoine & Gerhard Gmel & Simon Foster & Simon Marmet & Joseph Studer, 2020. "Multiple trajectories of alcohol use and the development of alcohol use disorder: Do Swiss men mature-out of problematic alcohol use during emerging adulthood?," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-17, January.
    2. Øystein Sørensen & Anders M. Fjell & Kristine B. Walhovd, 2023. "Longitudinal Modeling of Age-Dependent Latent Traits with Generalized Additive Latent and Mixed Models," Psychometrika, Springer;The Psychometric Society, vol. 88(2), pages 456-486, June.
    3. Jenny Rossen & Maria Hagströmer & Kristina Larsson & Unn-Britt Johansson & Philip von Rosen, 2022. "Physical Activity Patterns among Individuals with Prediabetes or Type 2 Diabetes across Two Years—A Longitudinal Latent Class Analysis," IJERPH, MDPI, vol. 19(6), pages 1-10, March.
    4. Paola Mozzoni & Diana Poli & Silvana Pinelli & Sara Tagliaferri & Massimo Corradi & Delia Cavallo & Cinzia Lucia Ursini & Daniela Pigini, 2023. "Benzene Exposure and MicroRNAs Expression: In Vitro, In Vivo and Human Findings," IJERPH, MDPI, vol. 20(3), pages 1-16, January.
    5. McDonough, Ian M. & Byrd, DeAnnah R. & Choi, Shinae L., 2023. "Resilience resources may buffer some middle-aged and older Black Americans from memory decline despite experiencing discrimination," Social Science & Medicine, Elsevier, vol. 316(C).
    6. Ye He & Ling Zhou & Yingcun Xia & Huazhen Lin, 2023. "Center‐augmented ℓ2‐type regularization for subgroup learning," Biometrics, The International Biometric Society, vol. 79(3), pages 2157-2170, September.
    7. Kari R. Hart & Teng Fei & John J. Hanfelt, 2021. "Scalable and robust latent trajectory class analysis using artificial likelihood," Biometrics, The International Biometric Society, vol. 77(3), pages 1118-1128, September.
    8. Graeme L. Hickey & Pete Philipson & Andrea Jorgensen & Ruwanthi Kolamunnage‐Dona, 2018. "A comparison of joint models for longitudinal and competing risks data, with application to an epilepsy drug randomized controlled trial," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1105-1123, October.
    9. Manuela Chiavarini & Patrizia Rosignoli & Beatrice Sorbara & Irene Giacchetta & Roberto Fabiani, 2024. "Benzene Exposure and Lung Cancer Risk: A Systematic Review and Meta-Analysis of Human Studies," IJERPH, MDPI, vol. 21(2), pages 1-19, February.
    10. Miranda Dally & Jaime Butler-Dawson & Alex Cruz & Lyndsay Krisher & Richard J Johnson & Claudia Asensio & W Daniel Pilloni & Edwin J Asturias & Lee S Newman, 2020. "Longitudinal trends in renal function among first time sugarcane harvesters in Guatemala," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-11, March.
    11. Elena Lobo & Patricia Gracia-García & Antonio Lobo & Pedro Saz & Concepción De-la-Cámara, 2021. "Differences in Trajectories and Predictive Factors of Cognition over Time in a Sample of Cognitively Healthy Adults, in Zaragoza, Spain," IJERPH, MDPI, vol. 18(13), pages 1-13, July.
    12. Emilie Lévêque & Aude Lacourt & Viviane Philipps & Danièle Luce & Pascal Guénel & Isabelle Stücker & Cécile Proust-Lima & Karen Leffondré, 2020. "A new trajectory approach for investigating the association between an environmental or occupational exposure over lifetime and the risk of chronic disease: Application to smoking, asbestos, and lung ," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-14, August.
    13. Darío Moreno-Agostino & Alejandro de la Torre-Luque & Javier de la Fuente & Elvira Lara & Natalia Martín-María & Maria Victoria Moneta & Ivet Bayés & Beatriz Olaya & Josep Maria Haro & Marta Miret & J, 2021. "Determinants of Subjective Wellbeing Trajectories in Older Adults: A Growth Mixture Modeling Approach," Journal of Happiness Studies, Springer, vol. 22(2), pages 709-726, February.
    14. Jan Vávra & Arnošt Komárek, 2023. "Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(2), pages 369-406, June.
    15. Jiang, Jiakun & Lin, Huazhen & Zhong, Qingzhi & Li, Yi, 2022. "Analysis of multivariate non-gaussian functional data: A semiparametric latent process approach," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
    16. Alejandra Marroig & Graciela Muniz-Terrera, 2023. "Latent Class approach to analyze children’s nutritional trajectory and school dropout. A longitudinal population-based application," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1519-1531, April.
    17. Valérie Lederer & Karen Messing & Hélène Sultan-Taïeb, 2022. "How Can Quantitative Analysis Be Used to Improve Occupational Health without Reinforcing Social Inequalities? An Examination of Statistical Methods," IJERPH, MDPI, vol. 20(1), pages 1-19, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:2871-:d:1059835. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.