IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i6p5133-d1097219.html
   My bibliography  Save this article

Possible Sources of Trace Metals in Obese Females Living in Informal Settlements near Industrial Sites around Gauteng, South Africa

Author

Listed:
  • Gladness Nteboheng Lion

    (Department of Biology and Environmental Sciences, Sefako Makgatho Health Sciences University, Pretoria 0204, South Africa)

  • Joshua Oluwole Olowoyo

    (Department of Biology and Environmental Sciences, Sefako Makgatho Health Sciences University, Pretoria 0204, South Africa
    Department of Health Science and The Water School, Florida Gulf Coast University, Fort Myers, FL 33965, USA)

Abstract

Trace metals have been reported in the literature to be associated with obesity. Exposure to some trace metals such as Mn, Cr, Ni, Cd, and Pb may pose a serious health risk to individuals living around a polluted environment. The present study assessed the levels of trace metals in the blood of obese females living around industrial areas in Gauteng, South Africa. The study was carried out using a mixed method approach. Only females with a BMI ≥ 30.0 were considered. A total of 120 obese females participated in the study (site 1: 40—industrial area, site 2: 40—industrial area, and site 3: 40—residential area), aged 18–45 and not in menopause. Blood samples were analysed for trace metals content using inductively coupled plasma mass spectrometry (ICP-MS). The mean concentrations of trace metals were in the order Pb > Mn > Cr > Co > As > Cd (site 1), Pb > Mn > Co > As > Cd (site 2), and Mn > Cr > Co > As > Pb > Cd (site 3). The blood Mn from site 1 ranged from 6.79 µg/L–33.99 µg/L, and the mean differences obtained from the participants from different sites were significant ( p < 0.01). The blood levels of Mn, Pb, Cr, Co, As, and Cd were above the recommended limits set by the WHO in some of the participants. The present study noted, among others, closeness to industrial areas, lifestyle decisions such as the use of tobacco products by their partners indoors, and the method used for cooking as factors that might have accounted for the blood levels of Mn, Pb, Cd and Co. The study showed that there is a need for constant monitoring of the levels of trace metals in the blood of those living in these areas.

Suggested Citation

  • Gladness Nteboheng Lion & Joshua Oluwole Olowoyo, 2023. "Possible Sources of Trace Metals in Obese Females Living in Informal Settlements near Industrial Sites around Gauteng, South Africa," IJERPH, MDPI, vol. 20(6), pages 1-13, March.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:6:p:5133-:d:1097219
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/6/5133/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/6/5133/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. W. Michael Griffin & Jeremy Michalek & H. Scott Matthews & Mohd Nor Azman Hassan, 2014. "Availability of Biomass Residues for Co-Firing in Peninsular Malaysia: Implications for Cost and GHG Emissions in the Electricity Sector," Energies, MDPI, vol. 7(2), pages 1-20, February.
    2. Trudie Vorster & Julian Mthombeni & Jim teWaterNaude & James Ian Phillips, 2022. "The Association between the Histological Subtypes of Mesothelioma and Asbestos Exposure Characteristics," IJERPH, MDPI, vol. 19(21), pages 1-12, November.
    3. Paul Zimmet & K. G. M. M. Alberti & Jonathan Shaw, 2001. "Global and societal implications of the diabetes epidemic," Nature, Nature, vol. 414(6865), pages 782-787, December.
    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. Angel Denche-Zamorano & Jorge Perez-Gomez & Sabina Barrios-Fernandez & Rafael Oliveira & Jose C. Adsuar & João Paulo Brito, 2023. "Relationships between Physical Activity Frequency and Self-Perceived Health, Self-Reported Depression, and Depressive Symptoms in Spanish Older Adults with Diabetes: A Cross-Sectional Study," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    2. Zailan, Roziah & Lim, Jeng Shiun & Manan, Zainuddin Abdul & Alwi, Sharifah Rafidah Wan & Mohammadi-ivatloo, Behnam & Jamaluddin, Khairulnadzmi, 2021. "Malaysia scenario of biomass supply chain-cogeneration system and optimization modeling development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    3. Hui-Ju Tsai & Chia-Ying Li & Wen-Chi Pan & Tsung-Chieh Yao & Huey-Jen Su & Chih-Da Wu & Yinq-Rong Chern & John D. Spengler, 2020. "The Effect of Surrounding Greenness on Type 2 Diabetes Mellitus: A Nationwide Population-Based Cohort in Taiwan," IJERPH, MDPI, vol. 18(1), pages 1-11, December.
    4. Samuel Ojima Adejoh, 2014. "Diabetes Knowledge, Health Belief, and Diabetes Management Among the Igala, Nigeria," SAGE Open, , vol. 4(2), pages 21582440145, June.
    5. Liu Xu & Gao Bin & Cui Yuehua, 2017. "Generalized partial linear varying multi-index coefficient model for gene-environment interactions," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 16(1), pages 59-74, March.
    6. Cannuscio, Carolyn C. & Hillier, Amy & Karpyn, Allison & Glanz, Karen, 2014. "The social dynamics of healthy food shopping and store choice in an urban environment," Social Science & Medicine, Elsevier, vol. 122(C), pages 13-20.
    7. Renat Sergazinov & Andrew Leroux & Erjia Cui & Ciprian Crainiceanu & R. Nisha Aurora & Naresh M. Punjabi & Irina Gaynanova, 2023. "A case study of glucose levels during sleep using multilevel fast function on scalar regression inference," Biometrics, The International Biometric Society, vol. 79(4), pages 3873-3882, December.
    8. Hajah Norhakimah Haji Mohd Nor & Masitah Shahrill, 2014. "Using a Case-Control Genotypic Testing in Investigating the Association with Type-2 Diabetes," Modern Applied Science, Canadian Center of Science and Education, vol. 8(6), pages 1-1, December.
    9. How, Bing Shen & Ngan, Sue Lin & Hong, Boon Hooi & Lam, Hon Loong & Ng, Wendy Pei Qin & Yusup, Suzana & Ghani, Wan Azlina Wan Abd Karim & Kansha, Yasuki & Chan, Yi Herng & Cheah, Kin Wai & Shahbaz, Mu, 2019. "An outlook of Malaysian biomass industry commercialisation: Perspectives and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    10. Yuan Xue & Xiao-Yan Zhang & Hui-Juan Zhou & Omorogieva Ojo & Qi Wang & Li-Li Wang & Qing Jiang & Ting Liu & Xiao-Hua Wang, 2020. "Associations Between the Knowledge of Different Food Categories and Glycemia in Chinese Adult Patients With Type 2 Diabetes," Clinical Nursing Research, , vol. 29(5), pages 313-321, June.
    11. Mary Carolan & Jessica Holman & Michelle Ferrari, 2015. "Experiences of diabetes self‐management: a focus group study among Australians with type 2 diabetes," Journal of Clinical Nursing, John Wiley & Sons, vol. 24(7-8), pages 1011-1023, April.
    12. Mohammed Abdullah Al Mansour, 2019. "The Prevalence and Risk Factors of Type 2 Diabetes Mellitus (DMT2) in a Semi-Urban Saudi Population," IJERPH, MDPI, vol. 17(1), pages 1-8, December.
    13. Nour Yassin, 2022. "Adherence to Treatment in Diabetic Patients in Lebanon," Technium Social Sciences Journal, Technium Science, vol. 37(1), pages 375-395, November.
    14. Tunku Salha, T.A. & O’Neill, C. & Rowan, N.J., 2013. "The Use of Cointegration and Error Correction Modelling To Investigate the Influence of Diabetes and Associated Medical Services Expenditure on Economic Growth in Malaysia," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 3(6), pages 644-653, June.
    15. Haiying Gong & Lize Pa & Ke Wang & Hebuli Mu & Fen Dong & Shengjiang Ya & Guodong Xu & Ning Tao & Li Pan & Bin Wang & Guangliang Shan, 2015. "Prevalence of Diabetes and Associated Factors in the Uyghur and Han Population in Xinjiang, China," IJERPH, MDPI, vol. 12(10), pages 1-11, October.
    16. Baum, Peter, 2011. "A new track for technology: Can ICT take care for healthier lifestyles?," 22nd European Regional ITS Conference, Budapest 2011: Innovative ICT Applications - Emerging Regulatory, Economic and Policy Issues 52185, International Telecommunications Society (ITS).
    17. Amira M. Elsherbini & Alsamman M. Alsamman & Nehal M. Elsherbiny & Mohamed El-Sherbiny & Rehab Ahmed & Hasnaa Ali Ebrahim & Joaira Bakkach, 2022. "Decoding Diabetes Biomarkers and Related Molecular Mechanisms by Using Machine Learning, Text Mining, and Gene Expression Analysis," IJERPH, MDPI, vol. 19(21), pages 1-18, October.

    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:6:p:5133-:d:1097219. 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.