Formative Research to Develop a Prototype of Sugar-sweetened
Beverages Monitoring Application for Obesity Management
among Indonesian Adolescents
Eka Febriyanti
1
a
, Ratih Yulistika Utami
2
b
, Febrina Dewi Pratiwi Lingga
3
c
1
Department of Nutrition, Faculty of Medicine, University of Muhammadiyah Sumatera Utara, Medan, Indonesia
2
Medical Education Unit, Faculty of Medicine, University of Muhammadiyah Sumatera Utara, Medan, Indonesia
3
Department of Dermatovenereology, Faculty of Medicine, University of Muhammadiyah Sumatera Utara, Medan,
Indonesia
Keywords: Prototype, Application, Sugar-Sweetened Beverages, Formative Research, User Acceptance Test
Abstract: The increase in obesity prevalence in adolescents is caused by passive overconsumption, such as the intake
of sugar-sweetened beverages (SSB). There are limited useful applications that can help people to monitor
calories and sugar from drinks. We aimed to investigate the SSB application requirement, develop, and
explore the acceptance of a prototype SSB application. This study was conducted in three stages: formative
research, development, and acceptance of the prototype application. The formative research employed
qualitative methods to provide information from 17-22 years in Medan to plan the application development.
The stage of development included selecting a developer, selecting the programming language, and designing
the application. An acceptance test was performed among 100 adolescents in Medan afterward. Participants
required an informative, easy, and exciting application. EduDrink is a prototype application to monitor calorie
and sugar intake of SSB that has simple features, educational videos, notifications, a food database, estimated
portion sizes, and regular monitoring charts. The EduDrink prototype has excellent acceptance regarding
content, graphic, and flow applications. This prototype can be further developed into a mobile application for
validation in obesity management.
1 INTRODUCTION
The prevalence of obesity increases significantly over
the years. Basic Health Research Data (Riskesdas) in
2013 showed that 10.8% of adolescents aged 13-15
years in Indonesia had an overweight problem,
consisting of 8.3% overweight and 2.5% obesity.
There was also an increasing trend in the incidence of
being obese from 1.4% in 2007 to 7.3% in 2013 in
adolescents over the age of 15 years (Kemenkes,
2013).
This increasing trend can be caused by ignorance
in choosing beverages. Sugar-sweetened beverages
(SSB) are added with simple sugars during the
production process, adding energy content with little
nutritional content (McGrath et al., 2012; Miller et al.,
a
https://orcid.org/0000-0002-6689-4161
b
https://orcid.org/0000-0001-8360-4210
c
https://orcid.org/0000-0001-9252-5901
2019). Research at Harvard University (2009) found
that in 300-500 ml serving of sweetened drinks,
Indonesia's unit contains 37-54 grams of sugar. The
amount of sugar content is four times more than the
recommendation for a safe added sugar content, 6-12
grams (Harvard University, 2009).
Sugar sweetened-
beverages are the favorite drinks consumed by
teenagers. In America, adolescents aged 12-19 years
consume as much as 65.4% SSB at least one time per
day (Bleich and Vercammen, 2018). Basic Health
Research data shows the proportion of SSB intake in
Indonesia ≥ 1 times a day at 10 years of age reaches
53.1% (Kemenkes, 2013).
According to the British
Soft Drinks Association, SSB is divided into several
types, namely: carbonated drinks, dilutable, fruit
juices, still/ juice drinks, sports/energy drinks (
The
British Soft Drinks Association, 2014).
The high energy
10
Febriyanti, E., Utami, R. and Pratiwi Lingga, F.
Formative Research to Develop a Prototype of Sugar-sweetened Beverages Monitoring Application for Obesity Management among Indonesian Adolescents.
DOI: 10.5220/0010486900100014
In Proceedings of the 1st Jenderal Soedirman International Medical Conference in conjunction with the 5th Annual Scientific Meeting (Temilnas) Consortium of Biomedical Science Indonesia
(JIMC 2020), pages 10-14
ISBN: 978-989-758-499-2
Copyright
c
2021 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
and sugar content in these drinks have an impact on
health in the form of weight gain, obesity, type 2
diabetes mellitus, dental caries, and the risk of
cardiovascular disease (Miller et al., 2019; Scharf and
DeBoer, 2016; Bleich and Vercammen, 2018).
Besides, SSB usually does not have the same satiety
effect as solid food. There is a tendency to consume
other foods to feel fuller, leading to higher calorie
consumption (Pan and Hu, 2011; Bachman et al.,
2006).
The use of technology-based mobile applications
has also increased its use in obesity prevention
because it is flexible, cost-effective, and easily
accessible (Paul et al., 2016). Obesity management in
the form of lifestyle interventions in the future
requires specific control, self-monitoring with mobile
applications, pharmacotherapy, education via the
internet, meal changes, and telephone interventions to
increase its success (Mahan and Raymond, 2017).
This phenomenon is also supported that smartphone
usage is getting bigger in the era of the 4.0 industrial
revolution, with more than 100 million users in
Indonesia in 2015. This number is predicted to reach
5 billion users in 2019 globally (Anderl, 2015;
Kemenkominfo, 2015). At present, technology
development is very rapid, including medical science.
Still, only a few applications exist in nutritional
science to monitor calories and food. There is no
Android technology-based application to monitor
SSB intake to control and prevent the increase in
obesity rates, hypercholesterolemia, and the risk of
other diseases. So, we want to create a prototype
application for monitoring SSB intake as one of self-
monitoring in preventing obesity.
2 MATERIALS AND METHODS
We developed a prototype of a mobile application
called EduDrink. EduDrink (Education and Drink)
can monitor calorie and sugar intake on SSB and
provide education according to the results. This
prototype can guide people to achieve weight loss or
maintain healthy body weight by self-monitoring
their calorie intake, sugar intake, and educational
video advice. People can also track their targets such
as their weight loss, Body Mass Index (BMI), calorie
intake, and sugar intake.
The study had three stages: formative research,
development of the mobile application prototype, and
the acceptance of the application prototype. The
formative research used qualitative methods to
provide users with information to plan the mobile
application prototype's development. The
development stage included selecting a developer,
selecting the programming languages, and designing
the application. The acceptance test was performed
among adolescents in Medan after the development
stage.
The formative research process is a critical step in
developing the application prototype. The feasibility
and the acceptability of the application were tested in
focus group discussions (FGD). The subject consisted
of 10 participants, divided into two focus groups aged
17-22 years. The participants were students in the
Faculty of Medicine University of Muhammadiyah
Sumatera Utara, Medan, Indonesia. They were asked
about their prior knowledge in SSB, history of using
food records, history of using the dietary mobile
application, and the kind of expected application. The
subjects were recruited in February 2020. Inclusion
criteria included being 17-22 years old, apparently
healthy, and owning an Android smartphone.
In the development stage, we collaborated with
application developers and graphic designers. The
application developers and the graphic designers
worked together to develop the application prototype
according to the FGD and literature input.
The acceptance stage was performed among
students in Medan after the development stage. The
subject consisted of 100 adolescents living in Medan,
Indonesia, who were recruited in May 2020. Inclusion
criteria included being 17-22 years old, apparently
healthy, and owning an Android smartphone. For
testing the application's acceptance, each subject was
provided the application to install it into their android
smartphone. Each subject received instructions and
was shown how to use the EduDrink app. The
subjects were interviewed to discover the acceptance
of EduDrink in terms of contents, design, and flow of
the application. They were also asked to comment on
its limitations, advantages, and suggestions for future
improvements.
The investigators designed a sociodemographic
survey to gather general sociodemographic
information, namely age, and sex. In the acceptance
stage, the sociodemographic information was based
on age and sex. The prototype allowed users to input
their weight, height, and date of birth to calculate
BMI and get the nutritional status and total energy
expenditure. The prototype also allowed users to
enter a particular type of beverage and obtain its
nutrition facts to be used as a dietary record.
Descriptive analysis was performed to describe
the characteristics of subjects and the acceptance of
EduDrink. The qualitative analysis was performed to
describe the formative research by matrix analysis.
Formative Research to Develop a Prototype of Sugar-sweetened Beverages Monitoring Application for Obesity Management among
Indonesian Adolescents
11
3 RESULTS
Table 1 describes the subject characteristics of FGD.
FGD subjects were 70% women and predominantly
aged 19-20 years.
Table 1: Characteristic of subjects in formative research.
Variable n
(
%
)
Sex
Male 3
(
30
)
Female 7(70)
Age (years)
17-18 3(30)
19-20 6
(
60
)
21-22 1
(
10
)
Table 2 describes the subject characteristics for
User Acceptance Test. The subject was
predominantly female with an age range of 19-20
years. All subjects have android at least the last six
months.
Table 2: Characteristics of subjects in development and
acceptance test of EduDrink.
Variable n (%)
Sex
Male 23
(
23
)
Female 77(77)
Age (years)
17-18 13(13)
19-20 76
(
76
)
21-22 11
(
11
)
Time of havin
g
an android smart
p
hone
<6 months 0(0)
≥Six months 100(100)
It was found that the subjects were not very
familiar with SSB, including the calories and sugars
contained therein. The hope of an application that is
easy to use, interesting and informative (Table 3). It
can be understood that EduDrink is well accepted in
terms of its content, graphic, and flow app. However,
some parameters are below 70%, such as an
appropriate font size (67%) and an attractive
appearance (69%). Those were shown in table 4.
Detailed SSB items (name of SSB, portion size,
and nutrient) and educational video were uploaded
into the database server in the development stage. The
exact food items (SSB) were uploaded from the
database of NutriSurvey. Educational videos were
made based on SSB energy and sugar sufficiency
figures and uploaded manually into the database
server. The formulation of the Body Mass Index and
total energy expenditure based on the Harris-Benedict
formula were also uploaded to calculate the
nutritional state and the total energy expenditure
individually. This application also has a push
notification reminder if any gap from the
recommendation of calories and sugar deviates from
the required amount.
Table 3: Focus group discussion result based on matrix
analysis (n=10).
Topic Quotation
Understanding SSB SSB is a sweetened
drink containing added
sugar, drinks with
artificial sweeteners
such as canned drinks
and boxes. The effects
of SSB on health are
obesity, diabetes,
stimulate thirst as it
contains high calories.
How to control SSB
consumption
Unable to know the
amount of calorie or
sugar in a drink, unless a
Boba drink and a
packaged drink, which
included its composition
/nutrition facts on the
back label
Understanding about food
record
Do not know
To do a food record with
paper-based, web-based,
mobile-apps
Preferably using mobile
applications because it
is easy, efficient, and
mobile
Using dietary mobile apps
b
efore
Know but do not use it
Helpful features There is information on
the type of drink, the
amount of calorie, the
right menu with a simple
application to enter a
drink with a picture, or
the menu is in the form
of images and writing
Level of boredom filling
dietary mobile app
It depends on features
and input frequency
How mobile apps are
expected to be
Easy to use, simple,
attractive, informative,
and user-friendly
JIMC 2020 - 1’s t Jenderal Soedirman International Medical Conference (JIMC) in conjunction with the Annual Scientific Meeting
(Temilnas) Consortium of Biomedical Science Indonesia (KIBI )
12
Table 4: Acceptance of EduDrink (n=100).
Parameters
n
(
%
)
Goo
d
Moderate Poo
r
Understanding of
information
84(84) 16(16) 0(0)
Understanding of
terminolog
77(77) 22(22) 1(1)
Appropriate food
p
icture
76(76) 24(24) 1(2)
Appropriate
information
83(83) 17(17) 0(0)
Ability to monitor the
goal
77(77) 22(22) 1(1)
Know calorie intake
and the com
p
osition
77(77) 22(22) 1(1)
Know nutrition facts 75 (75) 22(22) 3(3)
Useful reminde
r
76(76) 23(23) 1(1)
Useful information 80(80) 20(20) 0(0)
Gra
p
hic
Attractive color
combination
75(75) 22(22) 3(3)
Appropriate font size 67(67) 31(31) 2(2)
Attractive a
pp
earance 69
(
69
)
30
(
30
)
1
(
1
)
Flow a
pp
Understanding of
comman
d
82(82) 17(17) 1(1)
Easy step to input
b
everages
75(75) 25(25) 0(0)
Easy to track the
calorie intake and its
composition
86(86) 13(13) 1(1)
4 DISCUSSION
This study aims to investigate the requirement
(content, feature, and design), to develop, and to
explore the acceptance (content, feature, and design)
of a mobile application prototype based on SSB. As
we know, formative research is crucial to do in
developing this intervention. We found that a dietary
mobile app's expected requirements are easy to use,
informative, and enticing through the study.
According to Duff et al., the technical aspects of the
application (such as push notifications and the user
interface) and interactive contents are the techniques
to modify a healthy behavior (Duff et al., 2016). So
we have applied all of these in the prototype that we
have developed.
In the development process, the EduDrink mobile
application prototype is a tool to record dietary data
and to give the individuals educational videos based
on the number of calories and sugar that they should
be restricted. EduDrink also gives some health
videos, push notifications, food databases, and
estimated portion sizes to improve compliance in the
long term for dietary interventions. Ananda et al. said
that mobile applications might be an innovative tool
for an individual's health behavior change
intervention (Ananda et al., 2016). This process's
limitation was the availability of the Indonesian food
composition table that is important data to estimate
the nutrient intake. All food databases in EduDrink
are from Nutrisurvey 2007 food database, but the
database is not up-to-date (Ananda et al., 2016).
This application prototype is also equipped with
nutrition education related to monitoring individual
calorie and sugar intake. Nutrition education is
adjusted to the amount of individual calorie and sugar
intake per day. Education that utilizes unique factors
on online platforms is an effective intervention to
change behavior, which can reach a larger sample size
(Murimi et al., 2019; Backinger et al., 2011).
Visualized nutrition education has a better effect on
increasing fiber intake than un-visualized education
and without education. This effect occurs in culturally
adapted short-duration treatments and is delivered in
series (Li et al., 2018). Several factors influence the
success of online nutrition education interventions,
namely 1) the use of specific messages and individual
feedback; 2) participant involvement, as measured by
the level of interaction between investigators and
participants; 3) duration of intervention for three
months; 4) identification of specific vs. general health
targeted behaviors; 5) alignment of intervention
activities with stated objectives; 6) and the use of
theory-based interventions. On the other hand,
several factors represent the poor design in online
nutrition education interventions, including
comparisons of bias, lack of specific details on
duration or dose, lack of objective measurements, and
lack of tracking systems (Backinger et al., 2011).
EduDrink was found to have a good acceptance
among the users regarding its content, features, and
design. Respondents found EduDrink to be a useful
application, easy to carry and use because of its
typical feature as a paperless food record. However,
some users gave feedback that EduDrink should be
improved for the appropriate font size and more
attractive appearance. This feedback means that
EduDrink also has some good points but needs to be
improved in the future. The Technology Acceptance
Model (TAM) and constructs related to diet
application usage adoption (i.e., Technical Barriers
[TB], Social Norms [SN], Personal Innovativeness
[PINN], and Perceived Enjoyment [PE]). Perceived
Usefulness (PU) and Perceived Ease of Use (PEOU)
are crucial in deciding an individual's aim to use a
particular technology. Okumus and Bilgihan (2014)
stated that diet applications do not only offers tools to
Formative Research to Develop a Prototype of Sugar-sweetened Beverages Monitoring Application for Obesity Management among
Indonesian Adolescents
13
have utilitarian aims such as losing weight, but they
also have hedonic aims such as the excitement of
using the app. When the goal is to discover ITU in
managing a diet on a smartphone application, the
model should be supported by other theories that
incorporate both utilitarian and nonutilitarian motives
for use. Users may be motivated to use technology
due to PE while using it (Okumus et al., 2015).
5 CONCLUSION
In conclusion, EduDrink has good acceptance
regarding its content, features, and design. The
improvement of this mobile application prototype in
the future might include design problems and food
database update. This prototype can be further
developed into a mobile application for validation to
be used for obesity management.
ACKNOWLEDGEMENTS
Funding was provided by Research Institutions and
Community Service (LPPM) University of
Muhammadiyah Sumatera Utara. There are no
conflicts of interest to disclose.
REFERENCES
Ananda, A.J.N., Agustina, R., Wiradnyani, L.A.A,
Wiweko, B. 2016. Development and acceptance of
added sugar intake calculator (KUALA24) among
school aged children in East Jakarta. Journal of
Nutrition Education and Behaviour. In: The 1st Annual
International Conference and Exhibition on Indonesian
Medical Education and Research Institute (ICE on
IMERI) November 14-16, 2016, Jakarta, Indonesia.
Anderl, R., 2015. Industrie 4.0–technological approaches,
use cases, and implementation. at-
Automatisierungstechnik, 63(10), pp.753-765.
Bachman, C.M., Baranowski, T. and Nicklas, T.A., 2006.
Is there an association between sweetened beverages
and adiposity?. Nutrition reviews, 64(4), pp.153-174.
Backinger, C.L., Pilsner, A.M., Augustson, E.M., Frydl, A.,
Phillips, T. and Rowden, J., 2011. YouTube as a source
of quitting smoking information. Tobacco Control,
20(2), pp.119-122.
Bleich, S.N. and Vercammen, K.A., 2018. The negative
impact of sugar-sweetened beverages on children's
health: an update of the literature. BMC obesity, 5(1),
p.6.
Duff, O., Walsh, D., Monaghan, D., Woods, C., Moran, K.
and O'Connor, N.E., 2016. MedFit: A formative
research process to develop a mobile-application based
intervention for Cardiovascular Disease. In: Measuring
Behavior 2016 Conference, 25-27 May 2016, Dublin,
Ireland.
Harvard University. 2009. How Sweet Is It? Retrieved from
www.hsph.harvard.edu/nutritionsource/healthydrinks.
Kemenkes, R.I., 2013. Riset Kesehatan Dasar
2013. Jakarta: Badan Penelitian dan Pengembangan
Kesehatan.
Kemenkominfo, R.I. 2015. Indonesia Raksasa Teknologi
Digital Asia. Retrieved from:
https://www.kominfo.go.id/content/detail/6095/
Li, X., Huang, Y., Yin, R., Pan, C., Cai, Y. and Wang, Z.,
2019. Visualized nutrition education and dietary
behavioral change: A systematic review and meta-
analysis. Critical reviews in food science and nutrition,
59(12), pp.1976-1985.
Mahan, K. and Raymond, J.L., 2017. Krause's Food and
Nutrition Care Process (14th Edition). St. Louis,
Missouri, 63043.
McGrath, J.M., Fugate, K.K. and Preedy, V.R., 2012.
Dietary Sugars: Chemistry, Analysis, Function and
Effects. RSC Publishing, pp.526-545.
Miller, C., Wakefield, M., Braunack-Mayer, A., Roder, D.,
O'Dea, K., Ettridge, K. and Dono, J., 2019. Who drinks
sugar sweetened beverages and juice? An Australian
population study of behaviour, awareness and attitudes.
BMC obesity, 6(1), p.1.
Murimi, M.W., Nguyen, B., Moyeda-Carabaza, A.F., Lee,
H.J. and Park, O.H., 2019. Factors that contribute to
effective online nutrition education interventions: a
systematic review. Nutrition reviews, 77(10), pp.663-
690.
Okumus, B., Bilgihan, A. and Ozturk, A.B., 2016. Factors
affecting the acceptance of smartphone diet
applications. Journal of Hospitality Marketing &
Management, 25(6), pp.726-747.
Pan, A. and Hu, F.B., 2011. Effects of carbohydrates on
satiety: differences between liquid and solid food.
Current Opinion in Clinical Nutrition & Metabolic
Care, 14(4), pp.385-390.
Paul III, D.P., Gochipathala, K., Coustasse, A., Wodajo, B.
and Bhardwaj, N., 2016. Mobile Health Interventions
for Adult Obesity in the United States: Analysis of
Effectiveness and Efficacy. Proceedings of the
Northeast Business and Economics Association fall
conference, West Point, NY, pp. 221-226
Scharf, R.J. and DeBoer, M.D., 2016. Sugar-sweetened
beverages and children's health. Annual review of
public health, 37, pp.273-293.
The British Soft Drinks Association. 2014. The 2014 UK
Soft Drinks Annual Report. Retrieved from
www.britishsoftdrinks.com
JIMC 2020 - 1’s t Jenderal Soedirman International Medical Conference (JIMC) in conjunction with the Annual Scientific Meeting
(Temilnas) Consortium of Biomedical Science Indonesia (KIBI )
14