<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T23:11:41Z</responseDate><request verb="GetRecord" identifier="oai:openscholar.dut.ac.za:10321/5692" metadataPrefix="oai_dc">https://openscholar.dut.ac.za/server/oai/request</request><GetRecord><record><header><identifier>oai:openscholar.dut.ac.za:10321/5692</identifier><datestamp>2025-04-03T01:11:35Z</datestamp><setSpec>com_10321_5</setSpec><setSpec>col_10321_6</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Sugar-sweetened beverages and household sugar consumption patterns among adults living in Southgate, Phoenix</dc:title>
   <dc:creator>Nene, Sindisiwe Portia</dc:creator>
   <dc:contributor>Naicker, Ashika</dc:contributor>
   <dc:contributor>Singh, Evonne</dc:contributor>
   <dc:subject>Sugar beverages</dc:subject>
   <dc:subject>Sugar consumption</dc:subject>
   <dc:subject>Adults</dc:subject>
   <dc:subject>Sugars in human nutrition</dc:subject>
   <dc:subject>Food--Sugar content</dc:subject>
   <dc:subject>Beverages--Health aspects</dc:subject>
   <dc:subject>Adults--Nutrition--South Africa--Durban</dc:subject>
   <dc:description>Thesis submitted in fulfilment of the requirements of the degree of Master of Applied Science in Food and Nutrition, Durban University of Technology, Durban, South Africa, 2024.</dc:description>
   <dc:description>Background: The Health Promotion Levy (HPL) was implemented in South Africa in 2018 as an &#xd;
intervention to decrease sugar consumption. While the link between excessive sugar consumption and &#xd;
dietary risk factors is well established, there is limited conclusive evidence that fiscal policy measures &#xd;
like the HPL can reduce sugar consumption and lead to favourable health outcomes.  &#xd;
Aim: To determine the current sugar-sweetened beverage (SSB) and household sugar consumption &#xd;
patterns among adults in the Southgate Phoenix area. &#xd;
Methods: This study adopted both desktop and quantitative methods through a cross-sectional study. &#xd;
The desktop study included a scoping review using Preferred Reporting Items for Systematic Reviews &#xd;
and Meta-Analyses (PRISMA). The aim of the scoping review was to investigate the implementation of &#xd;
the sugar tax by various countries and assess the effectiveness thereof. Data from a syndicated &#xd;
Euromonitor generated report on sales of SSBs in South Africa were reviewed. Using a validated &#xd;
questionnaire, quantitative methods were also used to gather data on the current SSBs and household &#xd;
sugar consumption patterns among 399 consenting adults living in the Southgate Phoenix area. Sugar &#xd;
threshold detection test (TDT) of different sugar solutions and sweetness preference of market samples &#xd;
of cola SSBs were determined through sensory evaluation among 98 consenting adults living in the &#xd;
Southgate Phoenix area.  &#xd;
Results:  &#xd;
The scoping review included 37 studies on sugar tax in 17 countries. Most studies, 37.8% (n= 14), &#xd;
were conducted in various United States of America (US) states, followed by Mexico (16.2% n= 6) and &#xd;
South Africa (10.8% n= 4).   Just over half of the studies (51.4% n= 19) reported a reduction in sales &#xd;
volume of SSBs. A decrease in SSB consumption was reported by 37.8% (n= 14) studies, whilst 2.7% &#xd;
(n= 1) study reported both reduced sales and consumption of SSBs. Reduced body mass index/weight &#xd;
was reported in 8.1% (n= 3) of studies. Key results for the household sugar and SSB consumption &#xd;
showed that a significant 55.1% (n= 220) of households purchased brown sugar, p&lt;0.001, while 44.9% &#xd;
(n= 179) purchased white sugar.  A significant 92.0% (n= 367) of households purchased sugar monthly &#xd;
p&lt;0.001. Households (65.5% n= 102) predominantly purchased sugar in 2kg packs, p&lt;0.001. There &#xd;
was a significant correlation between income and purchasing frequency and the size of sugar &#xd;
packaging purchased by participants; those with higher income purchased sugar less frequently (rho= &#xd;
.187, p&lt;0.001) and in smaller packaging (rho= -.145, p= .006). A significant 96% (n= 382) of &#xd;
participants used sugar in tea and coffee, p&lt;0.001, while 58% (n= 230) added it to cereal.  A significant &#xd;
68.1% of the participants reported using either 1 or 2 teaspoons of sugar in their tea/coffee, χ2 (4) = &#xd;
153.619, p&lt;0.001.  However, 32.9% (n= 131), 16.5% (n= 51) and 2.5% (n= 10) consumed three &#xd;
teaspoons, four teaspoons and more than four teaspoons in their tea and coffee, respectively. The &#xd;
Mann-Whitney test analysis showed that males added significantly more sugar in their tea/coffee than &#xd;
females, Z= -2.779, p=.005. The amount of sugar added to tea/coffee was negatively correlated with age, rho= -.186, p&lt;0.001. Results also indicated that the consumption of tea or coffee with sugar was &#xd;
positively correlated with age (rho=.175, p&lt;0.001), with older people consuming more servings of &#xd;
sugar-sweetened tea/coffee. Regarding the consumption of SSBs, a substantial 77% (n= 308) of &#xd;
participants indicated that they frequently consumed sugar-sweetened carbonated soft drinks. &#xd;
Flavoured water was the second most consumed category, with 32% (n= 129), followed by energy &#xd;
drinks at 24% (n= 96).  The Pearson’s chi-square analysis indicated that significantly more females &#xd;
consumed flavoured teas than males, χ2 (1) = 5.568, p=.018. Furthermore, the Pearson’s chi-square &#xd;
analysis indicated that significantly more females consumed flavoured water than males, χ2 (1) = &#xd;
12.983, p&lt;.001. A significant 76% (n= 305) of participants reported consuming SSBs at home, &#xd;
p&lt;0.001. The proportion of SSBs purchased positively correlated with age (rho=.150, p=.003), with &#xd;
older people being associated with buying larger sizes of SSBs. Results from the Pearson’s chi-square &#xd;
test showed that a notable proportion of 18-25-year-olds were unaware of the sugar tax, while a &#xd;
notable proportion of 26-35-year-olds were aware of this tax, χ2 (4) = 13.924, p= .008. For the &#xd;
preference test, 40.8% (n= 40) participants preferred Coo-ee and noted that it was the sweetest SSB, &#xd;
followed by Coke at 27.6% (n= 27), χ2 (3) = 19.653, p&lt;.001. Results for TDT found that a significant &#xd;
57.1% (n= 56) of participants preferred the yellow-dot-30g/1ltr sugar sample (p&lt;.001); the reason &#xd;
given by a significant percentage of 62.2% (n= 61) for their selection was sweetness preference &#xd;
(p&lt;0.001). A significant 48.4% (n= 16) preferred the orange-dot-0.3g/ltr sample the least (p= .001).  &#xd;
This indicates that the sample population has a preference for higher rather than lower levels of &#xd;
sweetness in their SSBs.  &#xd;
Conclusion:   &#xd;
South Africa was the first African country to implement the sugar tax, so it is important to document the &#xd;
barriers, challenges, and other findings from inception. In this study, we found that sugar tax studies &#xd;
were mostly conducted in first-world countries, and emerging literature is available on the South African &#xd;
context. While the SSB industry has been regulated, its resulting impact on the consumption of SSBs &#xd;
and household sugar consumption remains an underexplored research area. Households also lack &#xd;
information pertaining to optimal sugar intake and the long-term health implications of exceeding such &#xd;
limits. Joint efforts with multiple initiatives and interventions could yield better results in combating &#xd;
obesity and reducing the burden of non-communicable diseases (NCDs). These initiatives should &#xd;
include nutrition education and HPL awareness campaigns, as well as current fiscal policies.</dc:description>
   <dc:description>M</dc:description>
   <dc:date>2024-11-24T07:44:37Z</dc:date>
   <dc:date>2024-11-24T07:44:37Z</dc:date>
   <dc:date>2024-09</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/10321/5692</dc:identifier>
   <dc:identifier>https://doi.org/10.51415/10321/5692</dc:identifier>
   <dc:language>en</dc:language>
   <dc:format>98 p</dc:format>
   <dc:format>application/pdf</dc:format>
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