-
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
-
References:
-
Curr Opin Nephrol Hypertens. 2015 Jan;24(1):8-13. (PMID: 25415615)
BMC Public Health. 2010;10:627. (PMID: 20961456)
BMJ Open. 2013 Jun 20;3(6):null. (PMID: 23794567)
N Z Med J. 2015 Sep 25;128(1422):13-23. (PMID: 26411843)
Ann Intern Med. 2010 Apr 20;152(8):481-7, W170-3. (PMID: 20194225)
Circulation. 2014 Mar 4;129(9):981-9. (PMID: 24415713)
PLoS One. 2013;8(9):e73824. (PMID: 24040085)
BMJ. 2013;346:f1378. (PMID: 23558164)
BMJ. 1991 Apr 6;302(6780):811-5. (PMID: 2025703)
Crit Rev Food Sci Nutr. 2016 Jan 8;:0. (PMID: 26745848)
Am Heart J. 2013 Nov;166(5):815-22. (PMID: 24176436)
N Z Med J. 2014 Sep 26;127(1403):68-71. (PMID: 25290501)
MMWR Morb Mortal Wkly Rep. 2012 Feb 10;61(5):92-8. (PMID: 22318472)
Prev Med. 2013 Nov;57(5):555-60. (PMID: 23954183)
ARYA Atheroscler. 2014 May;10(3):169-74. (PMID: 25161689)
Am J Hypertens. 2014 Oct;27(10):1277-84. (PMID: 24510182)
PLoS Med. 2015 Jul;12(7):e1001856. (PMID: 26218517)
Nutrients. 2014 Aug;6(8):3274-87. (PMID: 25195640)
Lancet. 2012 Dec 15;380(9859):2129-43. (PMID: 23245605)
Kidney Int. 2010 Oct;78(8):745-53. (PMID: 20720531)
J Am Coll Cardiol. 2015 Mar 17;65(10):1042-50. (PMID: 25766952)
Med Decis Making. 2016 Jan;36(1):72-85. (PMID: 25926284)
Lancet. 2011 Apr 23;377(9775):1438-47. (PMID: 21474174)
Public Health Nutr. 2015 Mar;18(4):695-704. (PMID: 24848764)
N Z Med J. 2014 Aug 1;127(1399):85-8. (PMID: 25145310)
Am J Clin Nutr. 2014 Mar;99(3):446-53. (PMID: 24335058)
PLoS One. 2015;10(7):e0127927. (PMID: 26131981)
CMAJ. 2012 Jun 12;184(9):1023-8. (PMID: 22508978)
J Hypertens. 2011 Sep;29(9):1693-9. (PMID: 21785366)
PLoS One. 2012;7(7):e41842. (PMID: 22844529)
Br J Cancer. 2014 Feb 4;110(3):797-801. (PMID: 24327014)
Lancet. 2002 Dec 14;360(9349):1903-13. (PMID: 12493255)
Popul Health Metr. 2003 Apr 14;1(1):4. (PMID: 12773212)
Lancet. 2015 Dec 5;386(10010):2287-323. (PMID: 26364544)
Clin Nutr. 2012 Aug;31(4):489-98. (PMID: 22296873)
Nutrients. 2014 Sep;6(9):3672-95. (PMID: 25230210)
PLoS One. 2015;10(4):e0123915. (PMID: 25910259)
Br J Nutr. 2015 Jan;113(1):1-15. (PMID: 25430608)
J Clin Hypertens (Greenwich). 2014 Sep;16(9):619-23. (PMID: 25077666)
Cost Eff Resour Alloc. 2009 May 06;7:10. (PMID: 19419570)
S Afr Med J. 2012 Sep;102(9):743-5. (PMID: 22958695)
J Hum Hypertens. 2014 Jun;28(6):345-52. (PMID: 24172290)
Heart. 2010 Dec;96(23):1920-5. (PMID: 21041840)
Curr Atheroscler Rep. 2013 Sep;15(9):349. (PMID: 23881545)
-
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
-
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.