IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0223908.html
   My bibliography  Save this article

Intraregional differences in renal function in the Northern Netherlands: The Lifelines Cohort Study

Author

Listed:
  • Qingqing Cai
  • Louise H Dekker
  • Stephan J L Bakker
  • Martin H de Borst
  • Gerjan Navis

Abstract

Background: Although the interregional disparity in chronic kidney disease (CKD) prevalence has been reported globally, little is known about differences in CKD prevalence within a region. We aimed to study the intraregional distribution of renal function in the Northern Netherlands and identify determinants of geographical differences in renal function. Methods: We included 143,735 participants from the Lifelines population-based cohort in the Northern Netherlands. Spatial analysis was performed to identify regional clusters of lower eGFR (cold spots) and higher eGFR (hot spots) at the postal code level, without and with adjustment for clinical risk factors. Multivariate logistic regression was used to identify the contribution of neighborhood-level health-related behaviors, socioeconomic status, and environmental factors (air pollution parameters, urbanity) to regional clustering of lower eGFR. Results: Significant spatial clustering of renal function was found for eGFR as well as for early stage renal function impairment (eGFR

Suggested Citation

  • Qingqing Cai & Louise H Dekker & Stephan J L Bakker & Martin H de Borst & Gerjan Navis, 2019. "Intraregional differences in renal function in the Northern Netherlands: The Lifelines Cohort Study," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-15, October.
    • Handle: RePEc:plo:pone00:0223908
    DOI: 10.1371/journal.pone.0223908
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223908
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0223908&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0223908?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. Oakes, J. Michael, 2004. "The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology," Social Science & Medicine, Elsevier, vol. 58(10), pages 1929-1952, May.
    2. Bart Klijs & Salome Scholtens & Jornt J Mandemakers & Harold Snieder & Ronald P Stolk & Nynke Smidt, 2015. "Representativeness of the LifeLines Cohort Study," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-12, September.
    3. Nathan R Hill & Samuel T Fatoba & Jason L Oke & Jennifer A Hirst & Christopher A O’Callaghan & Daniel S Lasserson & F D Richard Hobbs, 2016. "Global Prevalence of Chronic Kidney Disease – A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-18, July.
    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. Jonathan L. Blitstein & David M. Murray & Peter J. Hannan & William R. Shadish, 2005. "Increasing the Degrees of Freedom in Future Group Randomized Trials," Evaluation Review, , vol. 29(3), pages 268-286, June.
    2. Mitchell, Richard & Dujardin, Claire & Popham, Frank & Farfan Portet, Maria-Isabel & Thomas, Isabelle & Lorant, Vincent, 2011. "Using matched areas to explore international differences in population health," Social Science & Medicine, Elsevier, vol. 73(8), pages 1113-1122.
    3. Humphrey, Jamie L. & Root, Elisabeth D., 2017. "Spatio-temporal neighborhood impacts on internalizing and externalizing behaviors in U.S. elementary school children: Effect modification by child and family socio-demographics," Social Science & Medicine, Elsevier, vol. 180(C), pages 52-61.
    4. Spielman, Seth E. & Yoo, Eun-hye, 2009. "The spatial dimensions of neighborhood effects," Social Science & Medicine, Elsevier, vol. 68(6), pages 1098-1105, March.
    5. Gabriela Ortiz, 2023. "New meta-analysis (MA) features in Stata 18: MA for prevalence and multilevel MA," Canadian Stata Conference 2023 06, Stata Users Group.
    6. William P Martin & Neil G Docherty & Carel W Le Roux, 2017. "Bariatric Surgery for the Treatment of Diabetic Kidney Disease," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 3(5), pages 1-4, August.
    7. V Boima & K Agyabeng & V Ganu & D Dey & E Yorke & M B Amissah-Arthur & A A Wilson & A E Yawson & C C Mate-Kole & J Nonvignon, 2020. "Willingness to pay for kidney transplantation among chronic kidney disease patients in Ghana," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-15, December.
    8. Anna Maria Santiago & Kristen A. Berg & Joffré Leroux, 2021. "Assessing the Impact of Neighborhood Conditions on Neurodevelopmental Disorders during Childhood," IJERPH, MDPI, vol. 18(17), pages 1-14, August.
    9. Johnson, Rucker C. & Schoeni, Robert F. & Rogowski, Jeannette A., 2012. "Health disparities in mid-to-late life: The role of earlier life family and neighborhood socioeconomic conditions," Social Science & Medicine, Elsevier, vol. 74(4), pages 625-636.
    10. De Clercq, B. & Vyncke, V. & Hublet, A. & Elgar, F.J. & Ravens-Sieberer, U. & Currie, C. & Hooghe, M. & Ieven, A. & Maes, L., 2012. "Social capital and social inequality in adolescents’ health in 601 Flemish communities: A multilevel analysis," Social Science & Medicine, Elsevier, vol. 74(2), pages 202-210.
    11. Murayama, Hiroshi & Wakui, Tomoko & Arami, Reiko & Sugawara, Ikuko & Yoshie, Satoru, 2012. "Contextual effect of different components of social capital on health in a suburban city of the greater Tokyo area: A multilevel analysis," Social Science & Medicine, Elsevier, vol. 75(12), pages 2472-2480.
    12. Petri Böckerman & Mika Haapanen, 2013. "The effect of polytechnic reform on migration," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(2), pages 593-617, April.
    13. Ullmann, S. Heidi & Goldman, Noreen & Pebley, Anne R., 2013. "Contextual factors and weight change over time: A comparison between U.S. Hispanics and other population sub-groups," Social Science & Medicine, Elsevier, vol. 90(C), pages 40-48.
    14. Ann Forsyth & J. Michael Oakes & Kathryn H. Schmitz & Mary Hearst, 2007. "Does Residential Density Increase Walking and Other Physical Activity?," Urban Studies, Urban Studies Journal Limited, vol. 44(4), pages 679-697, April.
    15. Sirven, Nicolas & Debrand, Thierry, 2008. "Social participation and healthy ageing: An international comparison using SHARE data," Social Science & Medicine, Elsevier, vol. 67(12), pages 2017-2026, December.
    16. Christian T. Litchepah & Issidor. Noumba & Mohammadou. Nourou, 2022. "Does reducing violence against women improve children’s health? The case of Cameroon," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(6), pages 187-194, June.
    17. Jacobien Niebuur & Aart C. Liefbroer & Nardi Steverink & Nynke Smidt, 2019. "Translation and Validation of the Volunteer Functions Inventory (VFI) among the General Dutch Older Population," IJERPH, MDPI, vol. 16(17), pages 1-14, August.
    18. Murayama, Hiroshi & Nofuji, Yu & Matsuo, Eri & Nishi, Mariko & Taniguchi, Yu & Fujiwara, Yoshinori & Shinkai, Shoji, 2015. "Are neighborhood bonding and bridging social capital protective against depressive mood in old age? A multilevel analysis in Japan," Social Science & Medicine, Elsevier, vol. 124(C), pages 171-179.
    19. Shelton, Nicola Jane, 2009. "Regional risk factors for health inequalities in Scotland and England and the "Scottish effect"," Social Science & Medicine, Elsevier, vol. 69(5), pages 761-767, September.
    20. Margaret Weden & Christine Peterson & Jeremy Miles & Regina Shih, 2015. "Evaluating Linearly Interpolated Intercensal Estimates of Demographic and Socioeconomic Characteristics of U.S. Counties and Census Tracts 2001–2009," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 34(4), pages 541-559, August.

    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:pone00:0223908. 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.