IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0229413.html
   My bibliography  Save this article

Longitudinal trends in renal function among first time sugarcane harvesters in Guatemala

Author

Listed:
  • Miranda Dally
  • Jaime Butler-Dawson
  • Alex Cruz
  • Lyndsay Krisher
  • Richard J Johnson
  • Claudia Asensio
  • W Daniel Pilloni
  • Edwin J Asturias
  • Lee S Newman

Abstract

Introduction: Chronic kidney disease of unknown origin (CKDu) is an epidemic concentrated in agricultural communities in Central and South America, including young, male sugarcane harvesters. The purpose of this analysis is to understand early changes in kidney function among a cohort of first-time sugarcane harvesters and to determine risk factors for kidney function decline. Methods: Joint latent class mixed models were used to model sub-population kidney function trajectory over the course of 4 years (2012–2016). Probability weighted logistic regression was used to determine personal health, community, and individual behavior risk factors associated with sub-population assignment. Data analysis occurred in 2019. Results: Of 181 new workers median age 19 years old (IQR: 4), 39 (22%) were identified as having non-stable kidney function with an annual age-adjusted decline of estimated glomerular filtration rate (eGFR) of -1.0 ml/min per 1.73 m2 (95% CI: -3.4, 1.3). Kidney function (OR: 0.96; 95% CI: 0.93, 0.98), mild hypertension (OR: 5.21; 95% CI: 2.14, 13.94), and having a local home of residence (OR: 7.12; 95% CI: 2.41, 26.02) prior to employment in sugarcane were associated with non-stable eGFR sub-population assignment. Conclusions: Mild hypertension may be an early indicator of the development of CKDu. A better understanding of preexisting risk factors is needed to determine why individuals are entering the workforce with reduced kidney function and elevated blood pressure and increased risk of renal function decline.

Suggested Citation

  • 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.
    • Handle: RePEc:plo:pone00:0229413
    DOI: 10.1371/journal.pone.0229413
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0229413
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0229413&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0229413?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Miranda Dally & Jaime Butler-Dawson & Lyndsay Krisher & Andrew Monaghan & David Weitzenkamp & Cecilia Sorensen & Richard J Johnson & Elizabeth J Carlton & Claudia Asensio & Liliana Tenney & Lee S Newm, 2018. "The impact of heat and impaired kidney function on productivity of Guatemalan sugarcane workers," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
    2. Bürkner, Paul-Christian, 2017. "brms: An R Package for Bayesian Multilevel Models Using Stan," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 80(i01).
    3. 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)

    Citations

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


    Cited by:

    1. Mkaddem, Chamseddine & Mahjoubi, Soufiane, 2022. "Climate change and its impact on water consumption in Tunisia: Evidence from ARDL approach," MPRA Paper 115658, University Library of Munich, Germany, revised Dec 2022.
    2. Zapata, Oscar, 2021. "The relationship between climate conditions and consumption of bottled water: A potential link between climate change and plastic pollution," Ecological Economics, Elsevier, vol. 187(C).

    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. Cecilia J. Sorensen & Lyndsay Krisher & Jaime Butler-Dawson & Miranda Dally & Lynn Dexter & Claudia Asensio & Alex Cruz & Lee S. Newman, 2020. "Workplace Screening Identifies Clinically Significant and Potentially Reversible Kidney Injury in Heat-Exposed Sugarcane Workers," IJERPH, MDPI, vol. 17(22), pages 1-17, November.
    3. Elsner, James B. & Schroder, Zoe, 2019. "Tornado damage ratings estimated with cumulative logistic regression," Earth Arxiv k9wv6, Center for Open Science.
    4. 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.
    5. Eline Adrianne Smit & Andrew J Milne & Roger T Dean & Gabrielle Weidemann, 2019. "Perception of affect in unfamiliar musical chords," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-28, June.
    6. 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.
    7. Miranda Dally & Jaime Butler-Dawson & Cecilia J. Sorensen & Mike Van Dyke & Katherine A. James & Lyndsay Krisher & Diana Jaramillo & Lee S. Newman, 2020. "Wet Bulb Globe Temperature and Recorded Occupational Injury Rates among Sugarcane Harvesters in Southwest Guatemala," IJERPH, MDPI, vol. 17(21), pages 1-13, November.
    8. Kubinec, Robert & Barceló, Joan & Goldszmidt, Rafael & Grujic, Vanja & Model, Timothy & Schenk, Caress & Cheng, Cindy & Hale, Thomas & Hartnett, Allison Spencer & Messerschmidt, Luca, 2021. "Statistically Validated Indices for COVID-19 Public Health Policies," SocArXiv rn9xk, Center for Open Science.
    9. 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).
    10. Strauss, Ilan & Yang, Jangho, 2020. "Corporate Secular Stagnation: Empirical Evidence on the Advanced Economy Investment Slowdown," INET Oxford Working Papers 2019-16, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    11. 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.
    12. 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.
    13. 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.
    14. Joshua P White & Simon Dennis & Martin Tomko & Jessica Bell & Stephan Winter, 2021. "Paths to social licence for tracking-data analytics in university research and services," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-19, May.
    15. 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.
    16. 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.
    17. Lieke L F van Lieshout & Iris J Traast & Floris P de Lange & Roshan Cools, 2021. "Curiosity or savouring? Information seeking is modulated by both uncertainty and valence," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-19, September.
    18. 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.
    19. Farjam, Mike & Nikolaychuk, Olexandr & Bravo, Giangiacomo, 2019. "Experimental evidence of an environmental attitude-behavior gap in high-cost situations," Ecological Economics, Elsevier, vol. 166(C), pages 1-1.
    20. 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.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0229413. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.