Estimating population salt intake in India using spot urine samples.
Petersen, KS
Johnson, C
Mohan, S
Rogers, K
Shivashankar, R
Thout, SR
Gupta, P
He, FJ
MacGregor, GA
Webster, J
Santos, JA
Krishnan, A
Maulik, PK
Reddy, KS
Gupta, R
Prabhakaran, D
Neal, B
- Publisher:
- Lippincott, Williams & Wilkins
- Publication Type:
- Journal Article
- Citation:
- Journal of Hypertension, 2017, 35, (11), pp. 2207-2213
- Issue Date:
- 2017-11
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
Estimating population salt intake in India using spot urine samples.pdf | 328.96 kB | Adobe PDF |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Petersen, KS | |
dc.contributor.author | Johnson, C | |
dc.contributor.author | Mohan, S | |
dc.contributor.author |
Rogers, K https://orcid.org/0000-0001-5497-4298 |
|
dc.contributor.author | Shivashankar, R | |
dc.contributor.author | Thout, SR | |
dc.contributor.author | Gupta, P | |
dc.contributor.author | He, FJ | |
dc.contributor.author | MacGregor, GA | |
dc.contributor.author | Webster, J | |
dc.contributor.author | Santos, JA | |
dc.contributor.author | Krishnan, A | |
dc.contributor.author | Maulik, PK | |
dc.contributor.author | Reddy, KS | |
dc.contributor.author | Gupta, R | |
dc.contributor.author | Prabhakaran, D | |
dc.contributor.author | Neal, B | |
dc.date.accessioned | 2022-08-22T04:47:37Z | |
dc.date.available | 2022-08-22T04:47:37Z | |
dc.date.issued | 2017-11 | |
dc.identifier.citation | Journal of Hypertension, 2017, 35, (11), pp. 2207-2213 | |
dc.identifier.issn | 0263-6352 | |
dc.identifier.issn | 1473-5598 | |
dc.identifier.uri | http://hdl.handle.net/10453/160680 | |
dc.description.abstract | OBJECTIVE: To compare estimates of mean population salt intake in North and South India derived from spot urine samples versus 24-h urine collections. METHODS: In a cross-sectional survey, participants were sampled from slum, urban and rural communities in North and in South India. Participants provided 24-h urine collections, and random morning spot urine samples. Salt intake was estimated from the spot urine samples using a series of established estimating equations. Salt intake data from the 24-h urine collections and spot urine equations were weighted to provide estimates of salt intake for Delhi and Haryana, and Andhra Pradesh. RESULTS: A total of 957 individuals provided a complete 24-h urine collection and a spot urine sample. Weighted mean salt intake based on the 24-h urine collection, was 8.59 (95% confidence interval 7.73-9.45) and 9.46 g/day (8.95-9.96) in Delhi and Haryana, and Andhra Pradesh, respectively. Corresponding estimates based on the Tanaka equation [9.04 (8.63-9.45) and 9.79 g/day (9.62-9.96) for Delhi and Haryana, and Andhra Pradesh, respectively], the Mage equation [8.80 (7.67-9.94) and 10.19 g/day (95% CI 9.59-10.79)], the INTERSALT equation [7.99 (7.61-8.37) and 8.64 g/day (8.04-9.23)] and the INTERSALT equation with potassium [8.13 (7.74-8.52) and 8.81 g/day (8.16-9.46)] were all within 1 g/day of the estimate based upon 24-h collections. For the Toft equation, estimates were 1-2 g/day higher [9.94 (9.24-10.64) and 10.69 g/day (9.44-11.93)] and for the Kawasaki equation they were 3-4 g/day higher [12.14 (11.30-12.97) and 13.64 g/day (13.15-14.12)]. CONCLUSION: In urban and rural areas in North and South India, most spot urine-based equations provided reasonable estimates of mean population salt intake. Equations that did not provide good estimates may have failed because specimen collection was not aligned with the original method. | |
dc.format | ||
dc.language | eng | |
dc.publisher | Lippincott, Williams & Wilkins | |
dc.relation.ispartof | Journal of Hypertension | |
dc.relation.isbasedon | 10.1097/HJH.0000000000001464 | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | 1102 Cardiorespiratory Medicine and Haematology, 1103 Clinical Sciences, 1116 Medical Physiology | |
dc.subject.classification | Cardiovascular System & Hematology | |
dc.subject.mesh | Cross-Sectional Studies | |
dc.subject.mesh | Humans | |
dc.subject.mesh | India | |
dc.subject.mesh | Poverty Areas | |
dc.subject.mesh | Rural Population | |
dc.subject.mesh | Sodium Chloride, Dietary | |
dc.subject.mesh | Urban Population | |
dc.subject.mesh | Urine Specimen Collection | |
dc.subject.mesh | Cross-Sectional Studies | |
dc.subject.mesh | Humans | |
dc.subject.mesh | India | |
dc.subject.mesh | Poverty Areas | |
dc.subject.mesh | Rural Population | |
dc.subject.mesh | Sodium Chloride, Dietary | |
dc.subject.mesh | Urban Population | |
dc.subject.mesh | Urine Specimen Collection | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Sodium Chloride, Dietary | |
dc.subject.mesh | Cross-Sectional Studies | |
dc.subject.mesh | Poverty Areas | |
dc.subject.mesh | Rural Population | |
dc.subject.mesh | Urban Population | |
dc.subject.mesh | India | |
dc.subject.mesh | Urine Specimen Collection | |
dc.title | Estimating population salt intake in India using spot urine samples. | |
dc.type | Journal Article | |
utslib.citation.volume | 35 | |
utslib.location.activity | England | |
utslib.for | 1102 Cardiorespiratory Medicine and Haematology | |
utslib.for | 1103 Clinical Sciences | |
utslib.for | 1116 Medical Physiology | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health/Public Health | |
utslib.copyright.status | closed_access | * |
pubs.consider-herdc | false | |
dc.date.updated | 2022-08-22T04:47:35Z | |
pubs.issue | 11 | |
pubs.publication-status | Published | |
pubs.volume | 35 | |
utslib.citation.issue | 11 |
Abstract:
OBJECTIVE: To compare estimates of mean population salt intake in North and South India derived from spot urine samples versus 24-h urine collections. METHODS: In a cross-sectional survey, participants were sampled from slum, urban and rural communities in North and in South India. Participants provided 24-h urine collections, and random morning spot urine samples. Salt intake was estimated from the spot urine samples using a series of established estimating equations. Salt intake data from the 24-h urine collections and spot urine equations were weighted to provide estimates of salt intake for Delhi and Haryana, and Andhra Pradesh. RESULTS: A total of 957 individuals provided a complete 24-h urine collection and a spot urine sample. Weighted mean salt intake based on the 24-h urine collection, was 8.59 (95% confidence interval 7.73-9.45) and 9.46 g/day (8.95-9.96) in Delhi and Haryana, and Andhra Pradesh, respectively. Corresponding estimates based on the Tanaka equation [9.04 (8.63-9.45) and 9.79 g/day (9.62-9.96) for Delhi and Haryana, and Andhra Pradesh, respectively], the Mage equation [8.80 (7.67-9.94) and 10.19 g/day (95% CI 9.59-10.79)], the INTERSALT equation [7.99 (7.61-8.37) and 8.64 g/day (8.04-9.23)] and the INTERSALT equation with potassium [8.13 (7.74-8.52) and 8.81 g/day (8.16-9.46)] were all within 1 g/day of the estimate based upon 24-h collections. For the Toft equation, estimates were 1-2 g/day higher [9.94 (9.24-10.64) and 10.69 g/day (9.44-11.93)] and for the Kawasaki equation they were 3-4 g/day higher [12.14 (11.30-12.97) and 13.64 g/day (13.15-14.12)]. CONCLUSION: In urban and rural areas in North and South India, most spot urine-based equations provided reasonable estimates of mean population salt intake. Equations that did not provide good estimates may have failed because specimen collection was not aligned with the original method.
Please use this identifier to cite or link to this item:
Download statistics for the last 12 months
Not enough data to produce graph