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Tytuł pozycji:

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

Tytuł:
Modeling health gains and cost savings for ten dietary salt reduction targets.
Autorzy:
Wilson N; Department 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. .
Nghiem N; Department 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.
Eyles H; National Institute for Health Innovation and Department of Epidemiology and Biostatistics, University of Auckland, Auckland, New Zealand.
Mhurchu CN; National Institute for Health Innovation, University of Auckland, Auckland, New Zealand.
Shields E; University of Auckland, Auckland, New Zealand.
Cobiac LJ; British Heart Foundation Centre on Population Approaches to NCD Prevention, Oxford University, Oxford, UK.
Cleghorn CL; Department 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.
Blakely T; Department 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.
Źródło:
Nutrition journal [Nutr J] 2016 Apr 26; Vol. 15, pp. 44. Date of Electronic Publication: 2016 Apr 26.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
Język:
English
Imprint Name(s):
Original Publication: London : BioMed Central, 2002-
MeSH Terms:
Cost Savings*
Health Care Costs*
Sodium Chloride, Dietary/*administration & dosage
Adult ; Aged ; Aged, 80 and over ; Diet, Sodium-Restricted ; Fast Foods/analysis ; Female ; Food Packaging ; Humans ; Male ; Markov Chains ; Middle Aged ; Models, Theoretical ; New Zealand ; Nutrition Policy ; Quality-Adjusted Life Years ; Reproducibility of Results ; Restaurants ; Snacks
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Contributed Indexing:
Keywords: Cardiovascular disease; Dietary salt; Economic analysis; Sodium; Targets
Substance Nomenclature:
0 (Sodium Chloride, Dietary)
Entry Date(s):
Date Created: 20160428 Date Completed: 20161020 Latest Revision: 20220409
Update Code:
20240104
PubMed Central ID:
PMC4847342
DOI:
10.1186/s12937-016-0161-1
PMID:
27118548
Czasopismo naukowe
Background: Dietary 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.
Methods: We 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.
Results: Achieving 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).
Conclusions: This 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.

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