Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Tytuł pozycji:

The potential impact of a 20% tax on sugar-sweetened beverages on obesity in South African adults: a mathematical model.

Tytuł:
The potential impact of a 20% tax on sugar-sweetened beverages on obesity in South African adults: a mathematical model.
Autorzy:
Manyema M; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; PRICELESS-SA, MRC/Wits Rural Public, Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Veerman LJ; School of Population Health, University of Queensland, Brisbane, Queensland, Australia.
Chola L; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; PRICELESS-SA, MRC/Wits Rural Public, Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Tugendhaft A; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; PRICELESS-SA, MRC/Wits Rural Public, Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Sartorius B; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Labadarios D; Population Health, Health Systems and Innovation (PHHSI), Human Sciences Research Council, Capetown, South Africa.
Hofman KJ; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; PRICELESS-SA, MRC/Wits Rural Public, Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Źródło:
PloS one [PLoS One] 2014 Aug 19; Vol. 9 (8), pp. e105287. Date of Electronic Publication: 2014 Aug 19 (Print Publication: 2014).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
Język:
English
Imprint Name(s):
Original Publication: San Francisco, CA : Public Library of Science
MeSH Terms:
Taxes*
Beverages/*economics
Dietary Sucrose/*economics
Obesity/*prevention & control
Adult ; Aged ; Aged, 80 and over ; Body Mass Index ; Female ; Humans ; Male ; Middle Aged ; Models, Economic ; NADP Transhydrogenases ; South Africa ; Young Adult
References:
BMC Public Health. 2013 Nov 13;13:1072. (PMID: 24225016)
S Afr Med J. 2013 Sep 30;103(11):840-4. (PMID: 24148168)
Nutr Rev. 2012 Jan;70(1):3-21. (PMID: 22221213)
Am J Public Health. 2013 Mar;103(3):494-500. (PMID: 23327241)
Lancet. 2011 Aug 27;378(9793):826-37. (PMID: 21872751)
Obes Rev. 2013 Nov;14 Suppl 2:11-20. (PMID: 24102717)
Lancet. 2012 Dec 15;380(9859):2197-223. (PMID: 23245608)
Philos Trans R Soc Lond B Biol Sci. 2010 Sep 27;365(1554):2769-77. (PMID: 20713383)
BMC Public Health. 2013 Sep 17;13:860. (PMID: 24044370)
Eur J Public Health. 2009 Aug;19(4):365-9. (PMID: 19324935)
Lancet. 2009 Sep 12;374(9693):934-47. (PMID: 19709736)
Public Health Nutr. 2010 Jul;13(7):1003-12. (PMID: 20018123)
Prev Med. 2011 Jun;52(6):413-6. (PMID: 21443899)
BMJ. 1990 Nov 3;301(6759):1031-4. (PMID: 2249053)
Int J Stroke. 2013 Oct;8 Suppl A100:76-80. (PMID: 23295022)
S Afr Med J. 2007 Aug;97(8 Pt 2):683-90. (PMID: 17952225)
Maturitas. 2011 Jul;69(3):220-9. (PMID: 21592692)
Lancet. 2011 Feb 12;377(9765):557-67. (PMID: 21295846)
N Engl J Med. 2012 Oct 11;367(15):1397-406. (PMID: 22998340)
Circulation. 2010 Mar 23;121(11):1356-64. (PMID: 20308626)
Glob Health Action. 2013 Jan 24;6:19244. (PMID: 23364089)
Am J Public Health. 2012 Jan;102(1):178-83. (PMID: 22095333)
Am J Clin Nutr. 2006 Aug;84(2):274-88. (PMID: 16895873)
Am J Public Health. 2014 Apr;104(4):672-7. (PMID: 24524492)
Am J Clin Nutr. 2009 May;89(5):1299-306. (PMID: 19339405)
Diabetes Care. 2010 Nov;33(11):2477-83. (PMID: 20693348)
BMJ. 2013 Oct 31;347:f6189. (PMID: 24179043)
Am J Clin Nutr. 2009 Jun;89(6):1723-8. (PMID: 19369382)
J Health Econ. 2012 Jan;31(1):219-30. (PMID: 22094013)
J Health Polit Policy Law. 2005 Oct;30(5):955-64. (PMID: 16477793)
Lancet. 2014 Aug 30;384(9945):766-81. (PMID: 24880830)
Physiol Behav. 2010 Apr 26;100(1):47-54. (PMID: 20138901)
Pediatrics. 2006 Mar;117(3):673-80. (PMID: 16510646)
Obesity (Silver Spring). 2007 Sep;15(9):2365-70. (PMID: 17890506)
PLoS One. 2012;7(10):e47761. (PMID: 23082211)
N Engl J Med. 2009 Oct 15;361(16):1599-605. (PMID: 19759377)
Community Dent Oral Epidemiol. 2009 Apr;37(2):116-22. (PMID: 19046332)
Int J Obes (Lond). 2011 Jul;35(7):1001-9. (PMID: 21079620)
PLoS Med. 2014 Jan;11(1):e1001582. (PMID: 24409102)
Arch Intern Med. 2010 Dec 13;170(22):2028-34. (PMID: 21149762)
J Health Econ. 2013 Jan;32(1):219-39. (PMID: 23202266)
Substance Nomenclature:
0 (Dietary Sucrose)
EC 1.6.1.- (NADP Transhydrogenases)
Entry Date(s):
Date Created: 20140820 Date Completed: 20150526 Latest Revision: 20220410
Update Code:
20240104
PubMed Central ID:
PMC4138175
DOI:
10.1371/journal.pone.0105287
PMID:
25136987
Czasopismo naukowe
Background/objectives: The prevalence of obesity in South Africa has risen sharply, as has the consumption of sugar-sweetened beverages (SSBs). Research shows that consumption of SSBs leads to weight gain in both adults and children, and reducing SSBs will significantly impact the prevalence of obesity and its related diseases. We estimated the effect of a 20% tax on SSBs on the prevalence of and obesity among adults in South Africa.
Methods: A mathematical simulation model was constructed to estimate the effect of a 20% SSB tax on the prevalence of obesity. We used consumption data from the 2012 SA National Health and Nutrition Examination Survey and a previous meta-analysis of studies on own- and cross-price elasticities of SSBs to estimate the shift in daily energy consumption expected of increased prices of SSBs, and energy balance equations to estimate shifts in body mass index. The population distribution of BMI by age and sex was modelled by fitting measured data from the SA National Income Dynamics Survey 2012 to the lognormal distribution and shifting the mean values. Uncertainty was assessed with Monte Carlo simulations.
Results: A 20% tax is predicted to reduce energy intake by about 36 kJ per day (95% CI: 9-68 kJ). Obesity is projected to reduce by 3.8% (95% CI: 0.6%-7.1%) in men and 2.4% (95% CI: 0.4%-4.4%) in women. The number of obese adults would decrease by over 220 000 (95% CI: 24 197-411 759).
Conclusions: Taxing SSBs could impact the burden of obesity in South Africa particularly in young adults, as one component of a multi-faceted effort to prevent obesity.

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies