National Heart Foundation Hospital & Research InstituteDept. of Epidemiology and Research

PublicationsJMIR Research Protocols, 2016 · Review

Reliable Quantification of the Potential for Equations Based on Spot Urine Samples to Estimate Population Salt Intake: Protocol for a Systematic Review and Meta-Analysis

Liping Huang, Michelle Crino, Jason H. Y. Wu, Mark Woodward, Mary‐Anne Land, Rachael Mira McLean, Jacqui L Webster, Batsaikhan Enkhtungalag, Caryl Anne Nowson, Paul Elliott, Mary E. Cogswell, Ulla Toft, José Geraldo Mill, Tânia Weber Furlanetto, Jasminka Z. Ilich, Yet Hoi Hong, Damian Cohall, Leonella Luzardo, Oscar A. Noboa, Ellen Holm, Alexander L. Gerbes, Bahaa Eldeen Senousy, Sonat Pınar Kara, Lizzy M. Brewster, Hirotsugu Ueshima, Srinivas Subramanian, Boon Wee Teo, Norrina B. Allen, Sohel Reza Choudhury, Jorge Junqueira Polónia, Yoshinari Yasuda, Norm R.C. Campbell, Bruce Charles Neal, Kristina S. Petersen

JMIR Research Protocols · 2016;5(3) · e190 · doi:10.2196/resprot.6282

Abstract

BACKGROUND. Methods based on spot urine samples (a single sample at one time-point) have been identified as a possible alternative approach to 24-hour urine samples for determining mean population salt intake.

OBJECTIVE. The aim of this study is to identify a reliable method for estimating mean population salt intake from spot urine samples. This will be done by comparing the performance of existing equations against one other and against estimates derived from 24-hour urine samples. The effects of factors such as ethnicity, sex, age, body mass index, antihypertensive drug use, health status, and timing of spot urine collection will be explored. The capacity of spot urine samples to measure change in salt intake over time will also be determined. Finally, we aim to develop a novel equation (or equations) that performs better than existing equations to estimate mean population salt intake.

METHODS. A systematic review and meta-analysis of individual participant data will be conducted. A search has been conducted to identify human studies that report salt (or sodium) excretion based upon 24-hour urine samples and spot urine samples. There were no restrictions on language, study sample size, or characteristics of the study population. MEDLINE via OvidSP (1946-present), Premedline via OvidSP, EMBASE, Global Health via OvidSP (1910-present), and the Cochrane Library were searched, and two reviewers identified eligible studies. The authors of these studies will be invited to contribute data according to a standard format. Individual participant records will be compiled and a series of analyses will be completed to: (1) compare existing equations for estimating 24-hour salt intake from spot urine samples with 24-hour urine samples, and assess the degree of bias according to key demographic and clinical characteristics; (2) assess the reliability of using spot urine samples to measure population changes in salt intake overtime; and (3) develop a novel equation that performs better than existing equations to estimate mean population salt intake.

RESULTS. The search strategy identified 538 records; 100 records were obtained for review in full text and 73 have been confirmed as eligible. In addition, 68 abstracts were identified, some of which may contain data eligible for inclusion. Individual participant data will be requested from the authors of eligible studies.

CONCLUSIONS. Many equations for estimating salt intake from spot urine samples have been developed and validated, although most have been studied in very specific settings. This meta-analysis of individual participant data will enable a much broader understanding of the capacity for spot urine samples to estimate population salt intake.

Keywords Population · Urine · Protocol (science) · Meta-analysis · Cochrane Library · Medicine · Environmental health · Internal medicine · Pathology · Alternative medicine

Cite this paper

Liping Huang, Michelle Crino, Jason H. Y. Wu, Mark Woodward, Mary‐Anne Land, Rachael Mira McLean, Jacqui L Webster, Batsaikhan Enkhtungalag, Caryl Anne Nowson, Paul Elliott, Mary E. Cogswell, Ulla Toft, José Geraldo Mill, Tânia Weber Furlanetto, Jasminka Z. Ilich, Yet Hoi Hong, Damian Cohall, Leonella Luzardo, Oscar A. Noboa, Ellen Holm, Alexander L. Gerbes, Bahaa Eldeen Senousy, Sonat Pınar Kara, Lizzy M. Brewster, Hirotsugu Ueshima, Srinivas Subramanian, Boon Wee Teo, Norrina B. Allen, Sohel Reza Choudhury, Jorge Junqueira Polónia, Yoshinari Yasuda, Norm R.C. Campbell, Bruce Charles Neal, & Kristina S. Petersen. (2016). Reliable Quantification of the Potential for Equations Based on Spot Urine Samples to Estimate Population Salt Intake: Protocol for a Systematic Review and Meta-Analysis.  JMIR Research Protocols, 5(3), e190. https://doi.org/10.2196/resprot.6282

Authors and affiliations

  1. Liping Huang

    Peking University

    ORCID 0000-0002-0945-8988
  2. Michelle Crino

    The University of Sydney

    ORCID 0000-0003-2941-8147
  3. Jason H. Y. Wu

    The University of Sydney

    ORCID 0000-0003-2073-3562
  4. Mark Woodward

    The University of Sydney

    ORCID 0000-0001-9800-5296
  5. Mary‐Anne Land

    The University of Sydney

    ORCID 0000-0002-7807-2886
  6. Rachael Mira McLean

    University of Otago

    ORCID 0000-0002-0005-328X
  7. Jacqui L Webster

    The University of Sydney

    ORCID 0000-0003-3513-3340
  8. Batsaikhan Enkhtungalag

    Nutrition Research Center, Public Health Institute, Ulaanbaatar, Mongolia

    ORCID 0000-0001-8521-0303
  9. Caryl Anne Nowson

    Deakin University

    ORCID 0000-0001-6586-7965
  10. Paul Elliott

    Imperial College London

    ORCID 0000-0002-7511-5684
  11. Mary E. Cogswell

    Centers for Disease Control and Prevention

    ORCID 0000-0001-6032-3774
  12. Ulla Toft

    Glostrup Hospital

    ORCID 0000-0001-7770-8419
  13. José Geraldo Mill

    Universidade Federal do Espírito Santo

    ORCID 0000-0002-0987-368X
  14. Tânia Weber Furlanetto

    Universidade Federal do Rio Grande do Sul

    ORCID 0000-0002-8300-2073
  15. Jasminka Z. Ilich

    Florida State University

    ORCID 0000-0002-2426-8584
  16. Yet Hoi Hong

    University of Malaya

    ORCID 0000-0003-2739-580X
  17. Damian Cohall

    University of the West Indies

    ORCID 0000-0002-2173-7322
  18. Leonella Luzardo

    Universidad de la República de Uruguay

    ORCID 0000-0002-9498-2214
  19. Oscar A. Noboa

    Hospital de Clínicas

    ORCID 0000-0002-0975-9924
  20. Ellen Holm

    Sjællands Universitetshospital, Nykøbing F.

    ORCID 0000-0002-7600-6025
  21. Alexander L. Gerbes

    München Klinik

    ORCID 0000-0003-0440-7417
  22. Bahaa Eldeen Senousy

    Ain Shams University

    ORCID 0000-0001-9583-8508
  23. Sonat Pınar Kara

    Tekirdağ Namık Kemal University

    ORCID 0000-0002-8018-4879
  24. Lizzy M. Brewster

    Amsterdam UMC Location University of Amsterdam

    ORCID 0000-0002-7434-0038
  25. Hirotsugu Ueshima

    Shiga University of Medical Science

    ORCID 0000-0002-7742-4253
  26. Srinivas Subramanian

    National University of Singapore

    ORCID 0000-0002-2855-0819
  27. Boon Wee Teo

    National University of Singapore

    ORCID 0000-0002-4911-8507
  28. Norrina B. Allen

    Northwestern University

    ORCID 0000-0002-6993-4384
  29. Sohel Reza Choudhury

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0002-7498-4634
  30. Jorge Junqueira Polónia

    Universidade do Porto

    ORCID 0000-0002-0133-7217
  31. Yoshinari Yasuda

    Nagoya University

    ORCID 0000-0002-7448-3397
  32. Norm R.C. Campbell

    University of Calgary

    ORCID 0000-0002-1093-4742
  33. Bruce Charles Neal

    The University of Sydney

    ORCID 0000-0002-0490-7465
  34. Kristina S. Petersen

    The University of Sydney

    ORCID 0000-0003-3914-0353