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 Huang, Liping, Crino, Michelle, Wu, Jason HY, Woodward, Mark, Land, Mary-Anne, McLean, Rachael, Webster, Jacqui, Enkhtungalag, Batsaikhan, Nowson, Caryl A, Elliott, Paul, Cogswell, Mary, Toft, Ulla, Mill, Jose G, Furlanetto, Tania W, Ilich, Jasminka Z, Hong, Yet Hoi, Cohall, Damian, Luzardo, Leonella, Noboa, Oscar, Holm, Ellen, Gerbes, Alexander L, Senousy, Bahaa, Pinar Kara, Sonat, Brewster, Lizzy M, Ueshima, Hirotsugu, Subramanian, Srinivas, Teo, Boon Wee, Allen, Norrina, Choudhury, Sohel Reza, Polonia, Jorge, Yasuda, Yoshinari, Campbell, Norm RC, Neal, Bruce and Petersen, Kristina S 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, vol. 5, no. 3, pp. 1-10, doi: 10.2196/resprot.6282. Attached Files Name Description MIMEType Size Downloads nowson-reliablequantification-2016.pdf Published version application/pdf 587.14KB 111 Title 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 Author(s) Huang, Liping Crino, Michelle Wu, Jason HY Woodward, Mark Land, Mary-Anne McLean, Rachael Webster, Jacqui Enkhtungalag, Batsaikhan Nowson, Caryl A orcid.org/0000-0001-6586-7965 Elliott, Paul Cogswell, Mary Toft, Ulla Mill, Jose G Furlanetto, Tania W Ilich, Jasminka Z Hong, Yet Hoi Cohall, Damian Luzardo, Leonella Noboa, Oscar Holm, Ellen Gerbes, Alexander L Senousy, Bahaa Pinar Kara, Sonat Brewster, Lizzy M Ueshima, Hirotsugu Subramanian, Srinivas Teo, Boon Wee Allen, Norrina Choudhury, Sohel Reza Polonia, Jorge Yasuda, Yoshinari Campbell, Norm RC Neal, Bruce Petersen, Kristina S Journal name JMIR research protocols Volume number 5 Issue number 3 Article ID e190 Start page 1 End page 10 Total pages 10 Publisher JMIR Publications Place of publication Toronto, Ont. Publication date 2016 ISSN 1929-0748 1929-0748 Keyword(s) dietary salt sodium spot urine collection 24-hour urine collection meta-analysis systematic review Summary Background: Methods based on spot urine samples (a single sample at one time-point) have been identified as a possiblealternative 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 urinesamples. This will be done by comparing the performance of existing equations against one other and against estimates derivedfrom 24-hour urine samples. The effects of factors such as ethnicity, sex, age, body mass index, antihypertensive drug use, healthstatus, and timing of spot urine collection will be explored. The capacity of spot urine samples to measure change in salt intakeover time will also be determined. Finally, we aim to develop a novel equation (or equations) that performs better than existingequations to estimate mean population salt intake. Methods: A systematic review and meta-analysis of individual participant data will be conducted. A search has been conductedto identify human studies that report salt (or sodium) excretion based upon 24-hour urine samples and spot urine samples. Therewere 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 tworeviewers 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 forestimating 24-hour salt intake from spot urine samples with 24-hour urine samples, and assess the degree of bias according tokey demographic and clinical characteristics; (2) assess the reliability of using spot urine samples to measure population changesin salt intake overtime; and (3) develop a novel equation that performs better than existing equations to estimate mean populationsalt intake. Results: The search strategy identified 538 records; 100 records were obtained for review in full text and 73 have been confirmedas eligible. In addition, 68 abstracts were identified, some of which may contain data eligible for inclusion. Individual participantdata 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, althoughmost have been studied in very specific settings. This meta-analysis of individual participant data will enable a much broaderunderstanding of the capacity for spot urine samples to estimate population salt intake. Language eng DOI 10.2196/resprot.6282 Field of Research 0 Not Applicable Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2016, Huang et al Free to Read? Yes Use Rights Persistent URL http://hdl.handle.net/10536/DRO/DU:30089969 Document type: Journal Article Collections: Faculty of Health School of Exercise and Nutrition Sciences Open Access Collection Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 05 Dec 2016, 13:27:34 EST Tue, 06 Dec 2016, 04:01:47 EST Tue, 06 Dec 2016, 10:20:49 EST Sat, 01 Apr 2017, 05:05:25 EST Wed, 07 Jun 2017, 11:50:45 EST Wed, 07 Jun 2017, 11:58:48 EST Thu, 15 Jun 2017, 08:13:40 EST Thu, 15 Jun 2017, 09:45:52 EST Thu, 15 Jun 2017, 09:47:17 EST Mon, 24 Jul 2017, 11:50:11 EST Fri, 07 Sep 2018, 12:40:47 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 335 Abstract Views, 111 File Downloads  -  Detailed Statistics Created: Mon, 05 Dec 2016, 13:27:34 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.