The Effect of Online Order Development on Fast Food, Vegetable, and Fruit Consumption Behavior on Students in Surabaya

Trias Mahmudiono; Chrysoprase Thasya Abihail; Dicky Andhyka Priambudi; Edna Elkarima; Hario Megatsari; Diah Indriani; Gunawan Pratama Yoga

doi:10.3889/oamjms.2022.8563

Authors

Trias Mahmudiono Department of Nutrition, Faculty of Public Health, Universitas Airlangga, Surabaya, Republic of Indonesia https://orcid.org/0000-0002-3128-2173
Chrysoprase Thasya Abihail Department of Nutrition, Faculty of Public Health, Universitas Airlangga, Surabaya, Republic of Indonesia https://orcid.org/0000-0001-8326-0825
Dicky Andhyka Priambudi Department of Nutrition, Faculty of Public Health, Universitas Airlangga, Surabaya, Republic of Indonesia https://orcid.org/0000-0003-4237-4871
Edna Elkarima Department of Nutrition, Faculty of Public Health, Universitas Airlangga, Surabaya, Republic of Indonesia https://orcid.org/0000-0002-8966-7156
Hario Megatsari Department of Epidemiology, Biostatistics, and Health Promotion, Faculty of Public Health, Universitas Airlangga, Surabaya, Republic of Indonesia
Diah Indriani Department of Epidemiology, Biostatistics, and Health Promotion, Faculty of Public Health, Universitas Airlangga, Surabaya, Republic of Indonesia https://orcid.org/0000-0002-7584-2910
Gunawan Pratama Yoga Research Centre for Limnology, Indonesian Institute of Sciences, National Research and Innovation Agency, Surabaya, Republic of Indonesia https://orcid.org/0000-0002-4882-5269

DOI:

https://doi.org/10.3889/oamjms.2022.8563

Keywords:

Boba drink, Consumption habits, Fast food, Online order

Abstract

Technology development causes easy access to various sectors, including ordering food online. Fast food is one of the foods that many people reviewed in online applications that are high in fat with a density of 40% of total calories. Meanwhile, the consumption of vegetables and fruits of Indonesia’s people is still inadequate; only 63.3% consume as recommended. These things will undoubtedly increase the body mass index (BMI) and increase the risk of overweight and obesity. This study aims to analyze the impact of online order development on fast food, vegetables, and fruits consumption behavior on students in Surabaya. This descriptive cross-sectional study enrolled 317 students in Surabaya City, East Java, Indonesia. The online survey collected data through online platforms, SurveyMonkey. Data were analyzed in statistical software SPSS 25.0 using multivariate binomial linear regression test. The significance level was set at p<0.05. Regression analysis shows that the habit of ordering boba drinks with a weekly frequency has a significant relationship with the incidence of overweight/obesity in respondents (p = 0.015; OR = 3.037; 95% CI (1.236-7.462)) when compared to respondents who have the habit of ordering and consuming boba drinks every month. Consumption habits of boba drink are associated with higher body mass index (BMI), increasing the risk of overweight and obesity. A policy from the government and related parties is needed to regulate boba consumption limits for the community.

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References

Indonesia: Favorite Food Delivery Apps. Statista; 2021. Available from: https://www.statista.com/statistics/1149349/indonesia-favorite-food-delivery-apps

Alvara Strategic Research. Behaviors and preferences of Indonesian millennial consumers on E-commerce applications in 2019. Alvara Strateg Res. 2019;9:1-57.

Chotigo J, Kadono Y. Comparative analysis of key factors encouraging food delivery app adoption before and during the COVID-19 pandemic in Thailand. Sustainability. 2021;13:4088. https://doi.org/10.3390/su13084088 DOI: https://doi.org/10.3390/su13084088

Indonesia, Kementerian Kesehatan. Peraturan Menteri Kesehatan Republik Indonesia Nomor 41 Tahun. Indonesia: Peraturan Menteri Kesehatan Republik Indonesia; 2014. p. 97. https://doi.org/10.20884/1.jih.2018.4.2.115 DOI: https://doi.org/10.20884/1.jih.2018.4.2.115

Maharani ED. Hubungan Paparan Media dan Dukungan Orangtua Dengan Pemeriksaan Payudara Sendiri (SADARI) Pada Remaja Di Madrasah Aliyah Al Wathoniyyah Tlogosari Wetan. Indonesia: Universitas Muhammadiyah Semarang; 2018. https://doi.org/10.30651/jkm.v2i1.1110 DOI: https://doi.org/10.30651/jkm.v2i1.1110

McCrory MA, Harbaugh AG, Appeadu S, Roberts SB. Fast-food offerings in the United States in 1986, 1991, and 2016 show large increases in food variety, portion size, dietary energy, and selected micronutrients. J Acad Nutr Diet. 2019;119:923-33. https://doi.org/10.1016/j.jand.2018.12.004 PMid:30826304 DOI: https://doi.org/10.1016/j.jand.2018.12.004

Bahadoran Z, Mirmiran P, Azizi F. Fast food pattern and cardiometabolic disorders: A review of current studies. Health Promot Perspect. 2015;5:231-40. https://doi.org/10.15171/hpp.2015.028 PMid:6933642 DOI: https://doi.org/10.15171/hpp.2015.028

Kemenkes Republik Indonesia. Hasil Riset Kesehatan Dasar Tahun 2018. Vol. 53. Indonesia: Kementrian Kesehatan Republik Indonesia; 2018. p. 1689-99.

Timur BP. Jumlah Perguruan Tinggi, Mahasiswa, dan Tenaga Edukatif (Negeri dan Swasta) di Bawah Kementrian Riset, Teknologi dan Pendidikan Menurut Kabupaten/Kota di Jawa Timur, 2018/2019. Available from: https://www.jatim.bps.go.id/statictable/2019/10/09/1658/jumlah-perguruan-tinggi-mahasiswa-dan-tenaga-edukatifnegeri-dan-swasta-di-bawah-kementrian-riset-teknologi-danpendidikan-menurut-kabupaten-kota-di-jawa-timur-2018-2019-.html. [Last accessed on 2022 Feb 15]. https://doi.org/10.31503/madah.v9i1.692 DOI: https://doi.org/10.31503/madah.v9i1.692

Kurniawati ND, Cahyaningsih SN, Wahyudi AS. The correlation between online food ordering and nutritional status among college students in Surabaya. Indones J Community Health Nurs. 2021;6:70. https://doi.org/10.20473/ijchn.v6i2.27520 DOI: https://doi.org/10.20473/ijchn.v6i2.27520

Saad AT. Factors affecting online food delivery service in Bangladesh: An empirical study. Br Food J. 2021;123:535-50. https://doi.org/10.1108/bfj-05-2020-0449 DOI: https://doi.org/10.1108/BFJ-05-2020-0449

Laus MF, Miranda V, Almeida SS, Costa T, Ferreira ME. Geographic location, sex and nutritional status play an important role in body image concerns among Brazilian adolescents. J Health Psychol. 2013;18:332-8. https://doi.org/10.1177/1359105311434755 PMid:22514233 DOI: https://doi.org/10.1177/1359105311434755

Khaeruman K, Hanafiah H. Perbandingan kualitas produk sayur dan buah pada pasar tradisional dan pasar modern di kota serang dalam penerapan strategi pamasaran. Maj Ilm Bijak. 2019;16:110-20. https://doi.org/10.31334/bijak.v16i2.513 DOI: https://doi.org/10.31334/bijak.v16i2.513

Herath US. Consumer behavior and attitudes in purchasing vegetables. Agric Res Technol Open Access J. 2019;20:90-5.

Retail Store Choice for Fruits and Vegetables a Study on Perception Preferences and Buying Behaviour of Consumers. Tamil Nadu: Bharathiar University; 2012.

Boca GD. Factors influencing consumer behavior in sustainable fruit and vegetable consumption in maramures county, Romania. Sustain. 2021;13:1-20. https://doi.org/10.3390/su13041812 DOI: https://doi.org/10.3390/su13041812

Utami DF, Rahayu WP, Nuraida L. Consumption of fresh vegetable salad and sanitation of street food stalls at four locations in Bogor city. Kesmas. 2019;13:124-31. https://doi.org/10.21109/kesmas.v13i3.2051 DOI: https://doi.org/10.21109/kesmas.v13i3.2051

Hidayat A. Hubungan konsumsi makanan berisiko dan aktivitas fisik dengan status gizi mahasiswa kampus X kediri. J Wiyata. 2016;3:140-5.

Rahmawati A. Hubungan Tingkat Pengetahuan Gizi, Besar Uang Saku dan Tingkat Asupan Makronutrien dengan Status Gizi pada Mahasiswa Ilmu Gizi Universitas Jenderal Soedirman. Indonesia: Universitas Jenderal Soedirman; 2019. https://doi.org/10.14710/jgi.6.1.29-36 DOI: https://doi.org/10.14710/jgi.6.1.29-36

Kurniawan M, Wahyu W, Widyaningsih TD. The relation of food consumption pattern and individual budget of students majoring in businnes management with students majoring in agricultural product technology of Brawijaya Universi. J Pangan dan Agroindustri. 2017;5:1-12.

French SA, Tangney CC, Crane MM, Wang Y, Appelhans BM. Nutrition quality of food purchases varies by household income: The SHoPPER study. BMC Public Health. 2019;19(1):1-7. https://doi.org/10.1186/s12889-019-6546-2 PMid:30808311 DOI: https://doi.org/10.1186/s12889-019-6546-2

Schröder H, Serra-Majem L, Subirana I, Izquierdo-Pulido M, Fitó M, Elosua R, et al. Association of increased monetary cost of dietary intake, diet quality and weight management in Spanish adults. Br J Nutr. 2016;115:817-22. https://doi.org/10.1017/s0007114515005048 PMid:26758710 DOI: https://doi.org/10.1017/S0007114515005048

Henry. Grab Ungkap 10 Makanan Terlaris di Masa Pandemi dan Top 3 Selama PPKM-lifestyle. Available form: https://www.liputan6.com/lifestyle/read/4626179/grab-ungkap-10-makananterlaris-di-masa-pandemi-dan-top-3-selama-ppkm. [Last accessed on 2022 Feb 15]. https://doi.org/10.32486/jd.v4i2.585

Vedavalli, S. Effect of fast food consumption on the body mass index status of adolescent girls-a review. Int J Adv Res Biol Sci. 2021;8:1-3.

Grab Ungkap 10 Makanan Terlaris di Masa Pandemi dan Top 3 Selama PPKM-lifestyle. Available from: https://www.liputan6.com/lifestyle/read/4626179/grab-ungkap-10-makanan-terlarisdi-masa-pandemi-dan-top-3-selama-ppkm. [Last accessed on 2022 Feb 15]. https://doi.org/10.32486/jd.v4i2.585 DOI: https://doi.org/10.32486/jd.v4i2.585

Ekawati FR. Hubungan konsumsi kopi dengan status gizi pada pekerja WFH selama Covid-19 di Surabaya. Media Gizi Kesmas. 2021;10:97-105. https://doi.org/10.20473/mgk.v10i1.2021.97-105 DOI: https://doi.org/10.20473/mgk.v10i1.2021.97-105

Kim JH, Park YS. Light coffee consumption is protective against sarcopenia, but frequent coffee consumption is associated with obesity in Korean adults. Nutr Res. 2017;41:97-102. https://doi.org/10.1016/j.nutres.2017.04.004 PMid: 28464999 DOI: https://doi.org/10.1016/j.nutres.2017.04.004

Schubert MM, Irwin C, Seay RF, Clarke HE, Allegro D, Desbrow B. Caffeine, coffee, and appetite control: A review. Int J Food Sci Nutr. 2017;68:901-912. http://doi.org/10.1080/09637486.2017.1320537 PMid:28446037 DOI: https://doi.org/10.1080/09637486.2017.1320537

Kim HJ, Cho S, Jacobs DR, Park K. Instant coffee consumption may be associated with higher risk of metabolic syndrome in Korean adults. Diabetes Res Clin Pract. 2014;106:145-53. https://doi.org/10.1016/j.diabres.2014.07.007 PMid:25112922 DOI: https://doi.org/10.1016/j.diabres.2014.07.007

Vernarelli JA, Lambert JD. Tea consumption is inversely associated with weight status and other markers for metabolic syndrome in U.S. adults. Eur J Nutr. 2013;52:1039. https://doi.org/10.1007/s00394-012-0410-9 PMid:22777108 DOI: https://doi.org/10.1007/s00394-012-0410-9

Vieux F, Maillot M, Rehm CD, Drewnowski A. Tea consumption patterns in relation to diet quality among children and adults in the United States: Analyses of NHANES 2011-2016 data. Nutrients. 2019;11(11):2635. https://doi.org/10.3390/nu11112635 PMid:31684153 DOI: https://doi.org/10.3390/nu11112635

Center of Disease Control and Prevention. Get the Facts: Sugar-sweetened Beverages and Consumption. United States: Center of Disease Control and Prevention; 2021.

Veronica MT, Ilmi IM. Minuman kekinian di kalangan mahasiswa depok dan Jakarta. Indones J Health Dev. 2020;2:83-91.

World Health Organization. Guideline: Sugars Intake For Adults and Children. Geneva: World Health Organization; 2015.

Min JE, Green DB, Kim L. Calories and sugars in boba milk tea: Implications for obesity risk in Asian pacific islanders. Food Sci Nutr. 2017;5:38-45. https://doi.org/10.1002/fsn3.362 DOI: https://doi.org/10.1002/fsn3.362

Department of Nutrition/Harvard School of Public Health. Fact Sheet: Sugary Drink Supersizing and the Obesity Epidemic. Massachusetts: Department of Nutrition/Harvard School of Public Health; 2012. p. 2-3.

Narain A, Kwok CS, Mamas MA. Soft drinks and sweetened beverages and the risk of cardiovascular disease and mortality: A systematic review and meta-analysis. Int J Clin Pract. 2016;70:791-805. https://doi.org/10.1111/ijcp.12841 PMid:27456347 DOI: https://doi.org/10.1111/ijcp.12841

Keller A, Heitmann BL, Olsen N. Sugar-sweetened beverages, vascular risk factors and events: A systematic literature review. Public Health Nutr. 2015;18:1145-54. https://doi.org/10.1017/s1368980014002122 PMid:25321082 DOI: https://doi.org/10.1017/S1368980014002122

Huang C, Huang J, Tian Y, Yang X, Gu D. Sugar sweetened beverages consumption and risk of coronary heart disease: A metaanalysis of prospective studies. Atherosclerosis. 2014;234(1):11-6. https://doi.org/10.1016/j.atherosclerosis.2014.01.037 PMid:24583500 DOI: https://doi.org/10.1016/j.atherosclerosis.2014.01.037

Malik VS, Pan A, Willett WC, Hu FB. Sugar-sweetened beverages and weight gain in children and adults: A systematic review and meta-analysis. Am J Clin Nutr. 2013;98:1084-102. https://doi.org/10.3945/ajcn.113.058362 PMid:23966427 DOI: https://doi.org/10.3945/ajcn.113.058362

Bray GA, Popkin BM. Dietary sugar and body weight: Have we reached a crisis in the epidemic of obesity and diabetes? Diabetes Care. 2014;37:950-6. https://doi.org/10.2337/dc13-2085 PMid:24652725 DOI: https://doi.org/10.2337/dc13-2085

Annisa NR, Dieny FF, Nissa C, Tsani AF. Sugar-sweetened beverages as risk factor of central obesity among women in reproductive age. J Gizi Indones. 2020;8:126-33. https://doi.org/10.14710/jgi.8.2.126-133 DOI: https://doi.org/10.14710/jgi.8.2.126-133

Luger M, Lafontan M, Bes-Rastrollo M, Winzer E, Yumuk V, Farpour-Lambert N, et al. Sugar-sweetened beverages and weight gain in children and adults: A systematic review from 2013 to 2015 and a comparison with previous studies. Obes Facts. 2018;10(6):674-93. https://doi.org/10.1159/000484566 PMid:29237159 DOI: https://doi.org/10.1159/000484566

Cho D, Kim S. Interplay between self-efficacy and perceived availability at home and in the school neighborhood on adolescents’ fruit and vegetable intake and energy-dense, lownutrient food and sugary drink consumption. J Nutr Educ Behav. 2018;50:856-67. https://doi.org/10.1016/j.jneb.2018.06.010 PMid:30146454 DOI: https://doi.org/10.1016/j.jneb.2018.06.010

Zealand N, Guidance B. Policy brief: Options to reduce sugar sweetened beverage (SSB) consumption in New Zealand. Pac Health Dialog. 2014;20:98-102. PMid:25929005