Adolescents’ Unhealthy Eating Behavior and Customer Engagement on Social Media in Sub Urban Areas
Adolescents' Unhealthy Eating Behavior and Customer Engagement on Social Media in Sub-Urban Areas
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Background: Social media exposure is one of the effective strategies for digital marketing of food and beverage products in this present era. In addition, adolescents are the dominant users of social media (75.5%), which affects their behavior and health status.
Objectives: This study aimed to describe adolescent eating behavior and customer engagement with food, beverage, and drink-related content on social media in sub-urban areas and to analyze the relationship with their eating behavior.
Methods: The procedures were carried out using a descriptive observational method with a cross-sectional approach at SMA XX in the sub-urban areas in Depok City. The participants comprised class X aged 15-16 years (n=277) who were selected using the total sampling method. In addition, adolescents' healthy eating behavior was measured by AFHC (Adolescent Food Habits Checklist). The data obtained were then analyzed using an independent T-test with a Confidence Interval (CI) of 95%.
Results: The results showed that the majority of the participants had unhealthy eating behavior. In addition, two aspects of customer engagement behavior showed a significant relationship with healthy eating in adolescents. This behavior includes liking and commenting on food and drink advertisements/promotions on social media (p-value=0.051), sharing, reposting, or tagging someone in food and drink content, reviews of places to eat, or viral food trends (p-value=0.025).
Conclusions: Customer engagement on social media significantly affected eating behavior of adolescents in sub-urban areas, particularly behavior of liking and sharing/reposting food adverts.
WHO. Malnutrition. Fact Sheets https://www.who.int/news-room/fact-sheets/detail/malnutrition (2024).
Wrottesley, S. V et al. Nutritional Status of School-Age Children and Adolescents in Low- And Middle-Income Countries Across Seven Global Regions: A Synthesis of Scoping Reviews. Public Health Nutr 26, 63–95 (2023). https://doi.org/10.1017/s1368980022000350
Bhargava, M., Bhargava, A., Ghate, S. D. & Rao, R. S. P. Correction: Nutritional Status of Indian Adolescents (15-19 years) from National Family Health Surveys 3 and 4: Revised estimates using WHO 2007 Growth reference. PLoS One 15, e0239923 (2020). https://doi.org/10.1371/journal.pone.0234570
Rachmi, C. N., Jusril, H., Ariawan, I., Beal, T. & Sutrisna, A. Eating Behaviour of Indonesian Adolescents: A Systematic Review of The Literature. Public Health Nutr 24, s84–s97 (2021). https://doi.org/10.1017/s1368980020002876
Maneschy, I. et al. Eating Behaviours and Dietary Intake in Children and Adolescents: A Systematic Review. Curr Nutr Rep (2024). https://doi.org/10.1007/s13668-024-00544-w
Nawaz, F. A. et al. Social Media Use Among Adolescents with Eating Disorders: A Double-Edged Sword. Front Psychiatry 15, (2024). https://doi.org/10.3389/fpsyt.2024.1300182
Rachmi, C. N., Jusril, H., Ariawan, I., Beal, T. & Sutrisna, A. Eating Behaviour of Indonesian Adolescents: A Systematic Review of The Literature. Public Health Nutr 24, s84–s97 (2021). https://doi.org/10.1017/s1368980020002876
Farrell, P., Thow, A. M., Abimbola, S., Faruqui, N. & Negin, J. How food insecurity could lead to obesity in LMICs. Health Promot Int 33, 812–826 (2018). https://doi.org/10.1093/heapro/dax026
Wrottesley, S. V et al. Nutritional Status of School-Age Children and Adolescents in Low- and Middle-Income Countries Across Seven Global Regions: A Synthesis of Scoping Reviews. Public Health Nutr 26, 63–95 (2023). https://doi.org/10.1017/s1368980022000350
Ministry of Health Republic of Indonesia. Hasil Utama Riskesdas 2018. (2018).
Darling, A. M. et al. Gender Differences in Nutritional Status, Diet and Physical Activity Among Adolescents in Eight Countries In Sub‐Saharan Africa. Tropical Medicine & International Health 25, 33–43 (2020). https://doi.org/10.1111/tmi.13330
Black, R. E. et al. Maternal and child undernutrition and overweight in low-income and middle-income countries. The Lancet 382, 427–451 (2013). https://doi.org/10.1016/s0140-6736(13)60937-x
Dahlgren, C. L., Sundgot-Borgen, C., Kvalem, I. L., Wennersberg, A.-L. & Wisting, L. Further Evidence of The Association Between Social Media Use, Eating Disorder Pathology and Appearance Ideals and Pressure: A Cross-Sectional Study in Norwegian Adolescents. J Eat Disord 12, 34 (2024). https://doi.org/10.1186/s40337-024-00992-3
Asosiasi Penyelenggara Jasa Internet Indonesia. Potret Zaman Now: Pengguna & Perilaku Internet Indonesia. Buletin APJII (2018). https://survei.apjii.or.id/
Buchanan, L., Kelly, B., Yeatman, H. & Kariippanon, K. The Effects of Digital Marketing of Unhealthy Commodities on Young People: A Systematic Review. Nutrients 10, 148 (2018). https://doi.org/10.3390/nu10020148
Klassen, K. M., Douglass, C. H., Brennan, L., Truby, H. & Lim, M. S. C. Social Media Use for Nutrition Outcomes in Young Adults: A Mixed-Methods Systematic Review. International Journal of Behavioral Nutrition and Physical Activity 15, 70 (2018). https://doi.org/10.1186/s12966-018-0696-y
Nisak, K. & Hariyanto, D. Food Photography dan Eating Out di Media Sosial Instagram. KANAL: Jurnal Ilmu Komunikasi 6, 31 (2017). https://doi.org/10.21070/kanal.v6i1.1422
Adiba, C., Pradigdo, S. F. & Kartasurya, M. I. Association Between Social Media Exposure to Food and Beverages with Nutrient Intake of Female Adolescents. Kesmas 15, 191–198 (2020). https://doi.org/10.21109/kesmas.v15i4.3561
Klassen, K. M., Douglass, C. H., Brennan, L., Truby, H. & Lim, M. S. C. Social Media Use for Nutrition Outcomes in Young Adults: A Mixed-Methods Systematic Review. International Journal of Behavioral Nutrition and Physical Activity 15, 70 (2018). https://doi.org/10.1186/s12966-018-0696-y
Khayat, S. et al. Lifestyles in Suburban Populations: A Systematic Review. Electron Physician 9, 4791–4800 (2017). https://doi.org/10.19082/4791
Johnson, F., Wardle, J. & Griffith, J. The Adolescent Food Habits Checklist: Reliability and Validity of a Measure of Healthy Eating Behaviour in Adolescents. Eur J Clin Nutr 56, 644–649 (2002). https://doi.org/10.1038/sj.ejcn.1601371
Hayran, C., Anik, L. & Gürhan-Canli, Z. A Threat to Loyalty: Fear of Missing Out (FOMO) Leads to Reluctance to Repeat Current Experiences. PLoS One 15, e0232318 (2020). https://doi.org/10.1371/journal.pone.0232318
Folkvord, F., Roes, E. & Bevelander, K. Promoting Healthy Foods in The New Digital Era on Instagram: An Experimental Study on The Effect of A Popular Real Versus Fictitious Fit Influencer on Brand Attitude And Purchase Intentions. BMC Public Health 20, 1677 (2020). https://doi.org/10.1186/s12889-020-09779-y
Pilgrim, K. & Bohnet-Joschko, S. Selling Health and Happiness How Influencers Communicate on Instagram About Dieting and Exercise: Mixed Methods Research. BMC Public Health 19, 1054 (2019). https://doi.org/10.1186/s12889-019-7387-8
Freeman, B., Kelly, B., Vandevijvere, S. & Baur, L. Young adults: Beloved By Food and Drink Marketers and Forgotten By Public Health?: Fig. 1: Health Promot Int dav081 (2015) https://doi.org/10.1093/heapro/dav081
Montgomery, K. C., Chester, J., Grier, S. A. & Dorfman, L. The New Threat of Digital Marketing. Pediatr Clin North Am 59, 659–675 (2012). https://doi.org/10.1016/j.pcl.2012.03.022
Robinson, E., Otten, R. & Hermans, R. C. J. Descriptive Peer Norms, Self-Control and Dietary Behaviour in Young Adults. Psychol Health 31, 9–20 (2016). https://doi.org/10.1080/08870446.2015.1067705
McFerran, B., Dahl, D. W., Fitzsimons, G. J. & Morales, A. C. I’ll Have What She’s Having: Effects of Social Influence and Body Type on the Food Choices of Others. Journal of Consumer Research 36, 915–929 (2010). https://doi.org/10.1086/644611
Lynch, M. Healthy Habits or Damaging Diets: An Exploratory Study of a Food Blogging Community. Ecol Food Nutr 49, 316–335 (2010). https://doi.org/10.1080/03670244.2010.491054
Freeman, B. et al. Digital Junk: Food and Beverage Marketing on Facebook. Am J Public Health 104, e56–e64 (2014). https://doi.org/10.2105/ajph.2014.302167
Greenwood, S., Perrin, A. & Duggan, M. Social Media Update 2016. https://www.pewresearch.org/internet/2016/11/11/social-media-update-2016/.
Brindal, E. et al. Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial. J Med Internet Res 14, e173 (2012). https://doi.org/10.2196/jmir.2156
De Veirman, M., Cauberghe, V. & Hudders, L. Marketing Through Instagram Influencers: The Impact of Number of Followers and Product Divergence on Brand Attitude. Int J Advert 36, 798–828 (2017). https://doi.org/10.1080/02650487.2017.1348035
Smit, C. R., Buijs, L., van Woudenberg, T. J., Bevelander, K. E. & Buijzen, M. The Impact of Social Media Influencers on Children’s Dietary Behavior. Front Psychol 10, (2020). https://doi.org/10.3389/fpsyg.2019.02975
Holmberg, C., E. Chaplin, J., Hillman, T. & Berg, C. Adolescents’ Presentation of Food in Social Media: An Explorative Study. Appetite 99, 121–129 (2016). https://doi.org/10.1016/j.appet.2016.01.009
Holmberg, C., Berg, C., Hillman, T., Lissner, L. & Chaplin, J. E. Self-Presentation in Digital Media Among Adolescent Patients with Obesity: Striving for Integrity, Risk-Reduction, And Social Recognition. Digit Health 4, 205520761880760 (2018). https://doi.org/10.1177/2055207618807603
Quick, V. et al. Short Food Safety Videos Promote Peer Networking and Behavior Change. British Food Journal 117, 78–93 (2015). DOI:10.1108/BFJ-09-2013-0270
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