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
Liping Huang
Peking University
ORCID 0000-0002-0945-8988Michelle Crino
The University of Sydney
ORCID 0000-0003-2941-8147Jason H. Y. Wu
The University of Sydney
ORCID 0000-0003-2073-3562Mark Woodward
The University of Sydney
ORCID 0000-0001-9800-5296Mary‐Anne Land
The University of Sydney
ORCID 0000-0002-7807-2886Rachael Mira McLean
University of Otago
ORCID 0000-0002-0005-328XJacqui L Webster
The University of Sydney
ORCID 0000-0003-3513-3340Batsaikhan Enkhtungalag
Nutrition Research Center, Public Health Institute, Ulaanbaatar, Mongolia
ORCID 0000-0001-8521-0303Caryl Anne Nowson
Deakin University
ORCID 0000-0001-6586-7965Paul Elliott
Imperial College London
ORCID 0000-0002-7511-5684Mary E. Cogswell
Centers for Disease Control and Prevention
ORCID 0000-0001-6032-3774Ulla Toft
Glostrup Hospital
ORCID 0000-0001-7770-8419José Geraldo Mill
Universidade Federal do Espírito Santo
ORCID 0000-0002-0987-368XTânia Weber Furlanetto
Universidade Federal do Rio Grande do Sul
ORCID 0000-0002-8300-2073Jasminka Z. Ilich
Florida State University
ORCID 0000-0002-2426-8584Yet Hoi Hong
University of Malaya
ORCID 0000-0003-2739-580XDamian Cohall
University of the West Indies
ORCID 0000-0002-2173-7322Leonella Luzardo
Universidad de la República de Uruguay
ORCID 0000-0002-9498-2214Oscar A. Noboa
Hospital de Clínicas
ORCID 0000-0002-0975-9924Ellen Holm
Sjællands Universitetshospital, Nykøbing F.
ORCID 0000-0002-7600-6025Alexander L. Gerbes
München Klinik
ORCID 0000-0003-0440-7417Bahaa Eldeen Senousy
Ain Shams University
ORCID 0000-0001-9583-8508Sonat Pınar Kara
Tekirdağ Namık Kemal University
ORCID 0000-0002-8018-4879Lizzy M. Brewster
Amsterdam UMC Location University of Amsterdam
ORCID 0000-0002-7434-0038Hirotsugu Ueshima
Shiga University of Medical Science
ORCID 0000-0002-7742-4253Srinivas Subramanian
National University of Singapore
ORCID 0000-0002-2855-0819Boon Wee Teo
National University of Singapore
ORCID 0000-0002-4911-8507Norrina B. Allen
Northwestern University
ORCID 0000-0002-6993-4384National Heart Foundation Hospital & Research Institute
ORCID 0000-0002-7498-4634Jorge Junqueira Polónia
Universidade do Porto
ORCID 0000-0002-0133-7217Yoshinari Yasuda
Nagoya University
ORCID 0000-0002-7448-3397Norm R.C. Campbell
University of Calgary
ORCID 0000-0002-1093-4742Bruce Charles Neal
The University of Sydney
ORCID 0000-0002-0490-7465Kristina S. Petersen
The University of Sydney
ORCID 0000-0003-3914-0353