IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i3p1065-d317986.html
   My bibliography  Save this article

Prevalence of Oral Mucosal Lesions and Relation to Serum Cotinine Levels—Findings from a Cross-Sectional Study in South Africa

Author

Listed:
  • Carla Cruvinel Pontes

    (Department of Global Health, Stellenbosch University, Cape Town 7505, South Africa)

  • Usuf Chikte

    (Department of Global Health, Stellenbosch University, Cape Town 7505, South Africa)

  • Faheema Kimmie-Dhansay

    (Division of Epidemiology and Biostatistics, Stellenbosch University, Cape Town 7505, South Africa)

  • Rajiv T. Erasmus

    (Division of Chemical Pathology, Stellenbosch University, Cape Town 7505, South Africa)

  • Andre P. Kengne

    (Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town 7505, South Africa)

  • Tandi E. Matsha

    (Department of Biomedical Sciences, Cape Peninsula University of Technology, Cape Town 7535, South Africa)

Abstract

Oral mucosal lesions (OML) can decrease oral health-related quality of life and some have the potential to become malignant. The aim of the present study was to report the prevalence of OML in relation to age, sex, and serum cotinine levels in a population with mixed ancestry from South Africa. This study is part of the Cape Town Vascular and Metabolic Health (VHM) study, conducted between 2014–2016. Trained dental examiners assessed the oral mucosa for the presence of OML according to WHO criteria. In total, 1976 individuals were included in the study, being 1496 females (75.7%) and 480 males (24.3%) with average age of 49.5 years (SD = 15.3). In total, 262 lesions were detected in 252 participants (overall prevalence of 13%). Males had higher prevalence than females (14% vs. 9%, p = 0.008). Participants aged 25–34 had the highest prevalence rates (21%). Participants who had cotinine ≥15 ng/mL had higher prevalence of OML as compared to those with <15 ng/mL (15% vs. 5%, p < 0.001). Most common lesions were nicotine stomatitis (33%) and leukoplakia (19%). Age, male sex, and higher cotinine levels were associated with increased prevalence of OML.

Suggested Citation

  • Carla Cruvinel Pontes & Usuf Chikte & Faheema Kimmie-Dhansay & Rajiv T. Erasmus & Andre P. Kengne & Tandi E. Matsha, 2020. "Prevalence of Oral Mucosal Lesions and Relation to Serum Cotinine Levels—Findings from a Cross-Sectional Study in South Africa," IJERPH, MDPI, vol. 17(3), pages 1-10, February.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:1065-:d:317986
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/3/1065/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/3/1065/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jarvis, M.J. & Tunstall-Pedoe, H. & Feyerabend, C. & Vesey, C. & Saloojee, Y., 1987. "Comparison of tests used to distinguish smokers from nonsmokers," American Journal of Public Health, American Public Health Association, vol. 77(11), pages 1435-1438.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Na Zhou & Xin Zhang & Jia-Qing Yan & Ya-Qin Yu & Yan Cai, 2020. "Prevalence of Oral Mucosal Diseases in Older Adults in Mainland China: A Meta-Analysis of Observational Studies," IJERPH, MDPI, vol. 17(6), pages 1-10, March.

    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. Ke-Ting Pan & Giovanni S. Leonardi & Marcella Ucci & Ben Croxford, 2021. "Can Exhaled Carbon Monoxide Be Used as a Marker of Exposure? A Cross-Sectional Study in Young Adults," IJERPH, MDPI, vol. 18(22), pages 1-13, November.
    2. Magdalena Chełchowska & Tomasz M. Maciejewski & Joanna Mazur & Joanna Gajewska & Anastasiya Zasimovich & Mariusz Ołtarzewski & Jadwiga Ambroszkiewicz, 2019. "Active Tobacco Smoke Exposure in Utero and Concentrations of Hepcidin and Selected Iron Parameters in Newborns," IJERPH, MDPI, vol. 16(11), pages 1-10, June.
    3. Kinga Polanska & Anna Krol & Pawel Kaluzny & Danuta Ligocka & Karolina Mikolajewska & Seif Shaheen & Robert Walton & Wojciech Hanke, 2016. "Estimation of Saliva Cotinine Cut-Off Points for Active and Passive Smoking during Pregnancy—Polish Mother and Child Cohort (REPRO_PL)," IJERPH, MDPI, vol. 13(12), pages 1-15, December.
    4. Maria Paz Garcia-Portilla & Leticia Garcia-Alvarez & Pilar Alejandra Saiz & Eva Diaz-Mesa & Gonzalo Galvan & Fernando Sarramea & Josefa Garcia-Blanco & Edorta Elizagarate & Julio Bobes, 2013. "Effectiveness of a Multi-Component Smoking Cessation Support Programme (McSCSP) for Patients with Severe Mental Disorders: Study Design," IJERPH, MDPI, vol. 11(1), pages 1-17, December.
    5. Sungroul Kim, 2016. "Overview of Cotinine Cutoff Values for Smoking Status Classification," IJERPH, MDPI, vol. 13(12), pages 1-15, December.
    6. Clément de Chaisemartin & Pierre‐Yves Geoffard & Anne‐Laurence le Faou, 2011. "Workplace smoking ban effects on unhappy smokers," Health Economics, John Wiley & Sons, Ltd., vol. 20(9), pages 1043-1055, September.
    7. Hyun-Seung Lee & Ji-Hyun Cho & Young-Jin Lee & Do-Sim Park, 2022. "Effect of Second-Hand Smoke Exposure on Establishing Urinary Cotinine-Based Optimal Cut-Off Values for Smoking Status Classification in Korean Adults," IJERPH, MDPI, vol. 19(13), pages 1-14, June.
    8. Warisa Thangjai & Suparat Niwitpong & Sa-Aat Niwitpong, 2017. "Confidence Intervals for Mean and Difference between Means of Normal Distributions with Unknown Coefficients of Variation," Mathematics, MDPI, vol. 5(3), pages 1-23, July.
    9. Magdalena Chełchowska & Joanna Gajewska & Tomasz M. Maciejewski & Joanna Mazur & Mariusz Ołtarzewski & Jadwiga Ambroszkiewicz, 2020. "Associations between Maternal and Fetal Levels of Total Adiponectin, High Molecular Weight Adiponectin, Selected Somatomedins, and Birth Weight of Infants of Smoking and Non-Smoking Mothers," IJERPH, MDPI, vol. 17(13), pages 1-14, July.
    10. Mandeep S. Jassal & Cassia Lewis-Land & Richard E. Thompson & Arlene Butz, 2020. "Linkage of Maternal Caregiver Smoking Behaviors on Environmental and Clinical Outcomes of Children with Asthma: A Post-Hoc Analysis of a Financial Incentive Trial Targeting Reduction in Pediatric Toba," IJERPH, MDPI, vol. 17(22), pages 1-14, November.
    11. Carrieri, V.; Jones, A.M.;, 2017. "Intergenerational transmission of nicotine within families: have e-cigarettes had an impact?," Health, Econometrics and Data Group (HEDG) Working Papers 17/03, HEDG, c/o Department of Economics, University of York.
    12. Florian Fischer, 2016. "Challenges in Creating Evidence in Environmental Health Risk Assessments: The Example of Second-Hand Smoke," Challenges, MDPI, vol. 7(1), pages 1-9, January.
    13. Sungroul Kim & Benjamin J. Apelberg & Erika Avila-Tang & Lisa Hepp & Dongmin Yun & Jonathan M. Samet & Patrick N. Breysse, 2014. "Utility and Cutoff Value of Hair Nicotine as a Biomarker of Long-Term Tobacco Smoke Exposure, Compared to Salivary Cotinine," IJERPH, MDPI, vol. 11(8), pages 1-15, August.
    14. Yen‐Chung Ho & Hsin‐Chien Lee & Mei‐Feng Lin & Hsiu‐Ju Chang, 2020. "Correlations among life stress, smoking behavior, and depressive symptoms in adolescents: A descriptive study with a mediating model," Nursing & Health Sciences, John Wiley & Sons, vol. 22(4), pages 949-957, December.
    15. Magdalena Chełchowska & Jadwiga Ambroszkiewicz & Joanna Gajewska & Joanna Mazur & Leszek Lewandowski & Marzanna Reśko-Zachara & Tomasz M. Maciejewski, 2018. "Influence of Active Exposure to Tobacco Smoke on Nitric Oxide Status of Pregnant Women," IJERPH, MDPI, vol. 15(12), pages 1-14, December.
    16. Carrieri, Vincenzo & Jones, Andrew M., 2018. "Intergenerational transmission of nicotine within families: Have e-cigarettes influenced passive smoking?," Economics & Human Biology, Elsevier, vol. 31(C), pages 83-93.

    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:17:y:2020:i:3:p:1065-:d:317986. 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.