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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
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    References listed on IDEAS

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    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).
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    1. 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).
    2. 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.

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