Evidence map›Paper›PMID 27118548›Full record

ArticleNutrition journal2016

Modeling health gains and cost savings for ten dietary salt reduction targets.

Nick Wilson, Nhung Nghiem, Helen Eyles, Cliona Ni Mhurchu, Emma Shields, Linda J Cobiac, Christine L Cleghorn, Tony Blakely

Abstract read
In one paragraph

Article in Nutrition journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nick WilsonDepartment of Public Health (BODE3 Programme), Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programme, University of Otago, PO Box 7343, Wellington, Wellington South, New Zealand. nick.wilson@otago.ac.nz.
Nhung NghiemDepartment of Public Health (BODE3 Programme), Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programme, University of Otago, PO Box 7343, Wellington, Wellington South, New Zealand.
Helen EylesNational Institute for Health Innovation and Department of Epidemiology and Biostatistics, University of Auckland, Auckland, New Zealand.
Cliona Ni MhurchuNational Institute for Health Innovation, University of Auckland, Auckland, New Zealand.
Emma ShieldsUniversity of Auckland, Auckland, New Zealand.
Linda J CobiacBritish Heart Foundation Centre on Population Approaches to NCD Prevention, Oxford University, Oxford, UK.
Christine L CleghornDepartment of Public Health (BODE3 Programme), Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programme, University of Otago, PO Box 7343, Wellington, Wellington South, New Zealand.
Tony BlakelyDepartment of Public Health (BODE3 Programme), Burden of Disease Epidemiology, Equity and Cost-Effectiveness Programme, University of Otago, PO Box 7343, Wellington, Wellington South, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDietary salt reduction is included in the top five priority actions for non-communicable disease control internationally. We therefore aimed to identify health gain and cost impacts of achieving a national target for sodium reduction, along with component targets in different food groups.

methodsWe used an established dietary sodium intervention model to study 10 interventions to achieve sodium reduction targets. The 2011 New Zealand (NZ) adult population (2.3 million aged 35+ years) was simulated over the remainder of their lifetime in a Markov model with a 3 % discount rate.

resultsAchieving an overall 35 % reduction in dietary salt intake via implementation of mandatory maximum levels of sodium in packaged foods along with reduced sodium from fast foods/restaurant food and discretionary intake (the "full target"), was estimated to gain 235,000 QALYs over the lifetime of the cohort (95 % uncertainty interval [UI]: 176,000 to 298,000). For specific target components the range was from 122,000 QALYs gained (for the packaged foods target) down to the snack foods target (6100 QALYs; and representing a 34-48 % sodium reduction in such products). All ten target interventions studied were cost-saving, with the greatest costs saved for the mandatory "full target" at NZ$1260 million (US$820 million). There were relatively greater health gains per adult for men and for Māori (indigenous population).

conclusionsThis work provides modeling-level evidence that achieving dietary sodium reduction targets (including specific food category targets) could generate large health gains and cost savings for a national health sector. Demographic groups with the highest cardiovascular disease rates stand to gain most, assisting in reducing health inequalities between sex and ethnic groups.

Indexed as

Cost SavingsHealth Care CostsAdultAgedAged, 80 and overDiet, Sodium-RestrictedFast FoodsFemaleFood PackagingHumansMaleMarkov ChainsMiddle AgedModels, TheoreticalNew ZealandNutrition PolicySodium Chloride, DietaryCardiovascular diseaseDietary saltEconomic analysisSodiumTargets

Identifiers

PMID27118548
PMCPMC4847342

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.