Association between Social Media Exposure to Food and Beverages with Nutrient Intake of Female Adolescents

Cholida Adiba; Siti Fatimah Pradigdo; Martha Irene Kartasurya

doi:10.21109/kesmas.v15i4.3561

Association between Social Media Exposure to Food and Beverages with Nutrient Intake of Female Adolescents

Cholida Adiba, Siti Fatimah Pradigdo, Martha Irene Kartasurya

Abstract

Communication technology development has influenced adolescent food choices and intakes. This study aimed to investigate the association between social media exposure to food and beverage content and nutrient intake among female adolescents. The study was conducted in a cross-sectional design. The targeted population was 104 female students aged 14–18 years old at 'XY' High School in Semarang, Central Java, Indonesia. Eighty-one subjects were chosen by clustered random sampling. Data were collected by interviews using structured questionnaires and a 3x24-hour recall method. Data analyses were conducted by chi-square, Fisher exact tests, and logistic regression. The median and standard deviations of social-media, the duration, frequency, and the number of accounts were 2.3±3.00 hours/access, 2.0±2.00 times/day, and 3.6±2.46 accounts/access, respectively. Mean and standard deviations of adequacy levels for energy 107.4±15.39% and protein 124.8±25.8%. Duration of social-media exposures (p-value = 0.040) and body image (p-value= 0.040) were associated with food selection. Food selection was associated with energy (p-value = 0.003) and protein (p-value = 0.002) adequacy levels. After controlling for body image, social-media exposure duration > 2.3 hours had an OR of 3.4 for selecting the accessed foods. It was concluded that social media exposure duration was associated with food selection, which was then associated with energy and protein intakes.

Keywords

female adolescents, food selection, nutrient intake, social media exposure

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References

1. Brembeck H, Johansson B. Foodscapes and children’s bodies. Culture Unbound. 2010; 2: 797–818.

2. Miranda S, Lubis EE. Pengaruh instagram sebagai media online shopping fashion terhadap perilaku konsumtif mahasiswi Fakultas Ilmu Sosial dan Ilmu Politik Universitas Riau. Jurnal Online Mahasiswa FISIP Universitas Riau. 2017; 4 (1): 1–15.

3. Harahap VY. Hubungan pola konsumsi makanan dengan status gizi pada siswa SMA Negeri 2 rintisan sekolah bertaraf internasional (RSBI) Banda Aceh. 2012; 1–90.

4. Asosiasi Penyelenggara Jasa Internet Indonesia. Potret zaman now: pengguna & perilaku internet Indonesia. Buletin APJII. 2018; 23(April 2018).

5. Erkan I. Electronic word of mouth on Instagram: customers' engagements with brands in different sectors. International Journal of Management, Accounting and Economics. 2015; 2 (12): 1435–44.

6. Kent MP, Czoli C, Pauzé E, Roy EA, Billy N De. Children and adolescents’ exposure to food and beverage marketing in social media apps. Pediatric Obesity. 2019; 14 (6): e12508 (1–9).

7. Holmberg C, Chaplin JE, Hillman T, Berg C. Adolescents’ presentation of food in social media: an explorative study. Appetite. 2016; 99: 121–9.

8. Subardjo YP, Sudargo T, Julia M. Paparan iklan televisi terhadap pemilihan makanan dan asupan energi pada anak. Jurnal Gizi Klinik Indonesia. 2013; 10 (2): 101–10.

9. Nisak K, Hariyanto D. Food photography dan eating out di media social Instagram. KANAL: Jurnal Ilmu Komunikasi. 2017; 6 (1): 31–40.

10. Klassen KM, Douglass CH, Brennan L, Truby H, Lim MSC. Social media use for nutrition outcomes in young adults: A mixed-methods systematic review. International Journal of Behavioral Nutrition and Physical Activity. 2018; 15 (1): 70.

11. Dahlan MS. Statistik untuk kedokteran dan kesehatan. 3rd ed. Jakarta: Salemba Medika; 2013. 19 p.

12. Natalia S, Kumala M. Hubungan kebiasaan akses internet dengan status gizi pada remaja (11–19 tahun) usia sekolah di Jakarta Barat periode Januari–Desember 2014. Tarumanagara Medical Journal. 2018; 1 (1): 167–73.

13. Li M, Deng Y, Ren Y, Guo S, He X. Obesity status of middle school students in Xiangtan and its relationship with Internet addiction. Obesity. 2014; 22 (2): 482–7.

14. Yang F, Yang C, Liu Y, Peng S, Liu B, Gao X, et al. Associations between body mass index and visual impairment of school students in central China. International Journal of Environmental Research and Public Health. 2016; 13 (10): 1024.

15. Felita P, Siahaja C, Wijaya V, Melisa G, Chandra M, Dahesihsari R. Pemakaian media sosial dan self concept pada remaja. Journal Ilmiah Psikologi MANASA. 2016; 5 (1): 30–41.

16. Sunarwan B. Aktiﬁtas komunikasi dan media sosial.

Jurnal Studi Komunikasi dan Media. 2015; 19 (1): 93–106.

17. Setyawati VAV, Setyowati M. Karakter gizi remaja putri urban dan rural di Provinsi Jawa Tengah. Kesmas: Jurnal Kesehatan Masyarakat. 2015; 11 (1): 43-52.

18. Rahayu SD, Dieny FF. Citra tubuh, pendidikan ibu, pendapatan keluarga, pengetahuan gizi, perilaku makan dan asupan zat besi pada siswi SMA. Media Medika Indonesia. 2012; 46 (3): 184–94.

19. Prasiwi RI. Faktor-faktor yang berhubungan dengan perilaku makan pada remaja di SMPN 115 Jakarta Selatan tahun 2012. Universitas Indonesia; 2012.

20. Imtihani TR, Noer ER. Hubungan pengetahuan, uang saku, dan peer group dengan frekuensi konsumsi makanan cepat saji pada remaja putri. Journal of Nutrition College. 2013; 2 (1): 162–9.

21. Nomate ES, Nur ML, Toy SM. Hubungan teman sebaya, citra tubuh, pola konsumsi, dan status gizi remaja putri. Unnes Journal of Public Health. 2017; 6 (3): 51–7.

22. Bevelander KE, Anschütz DJ, Engels RCM. The effect of a ﬁctitious peer on young children’s choice of familiar v. unfamiliar low- and high-energy-dense foods. British Journal of Nutrition. 2012; 108 (6):1126–33.

23. Shariﬁrad G, Yarmohammadi P, Azadbakht L, Morowatisharifabad MA, Hassanzadeh A. Determinants of fast food consumption among Iranian high school students based on planned behavior theory. Journal of Obesity. 2013; 2013: 1-7.

24. Chiang PH, Wahlqvist ML, Lee MS, Huang LY, Chen HH, Huang STY. Fast-food outlets and walkability in school neighborhoods predict fatness in boys and height in girls: a Taiwanese population study. Public Health Nutrition. 2011;14 (9): 1601–9.

25. Seo H sun, Lee SK, Nam S. Factors inﬂuencing fast food consumption behaviors of middle-school students in Seoul: An application of theory of planned behaviors. Nutrition Research and Practice. 2011; 5 (2):169–78.

26. Wang D, Grebitus C, Schroeter C. The inﬂuence of social networks on food choices in college food courts. 2014 AAEA/EAAE/CAES Joint Symposium: Social Networks, Social Media and the Economics of Food, May 29-30, 2014, Montreal, Canada; 2014.

27. Fathelrahman E, Basarir A. Use of social media to enhance consumers’ options for food quality in the United Arab Emirates (UAE). Urban Science. 2018; 2 (70).

28. Sadeghirad B, Duhaney T, Motaghipisheh S, Campbell NRC, Johnston BC. Inﬂuence of unhealthy food and beverage marketing on children’s dietary intake and preference: a systematic review and meta-analysis of randomized trials. Obesity Reviews. 2016; 17 (10): 945–59.

29. Coates AE, Hardman CA, Halford JCG, Christiansen P, Boyland EJ. Social media inﬂuencer marketing and children’s food intake: a randomized trial. Pediatrics. 2019; 143 (4): e20182554.

30. Damayanti RE, Sumarmi S, Mundiastuti L. Hubungan durasi tidur dengan kejadian overweight dan obesitas pada tenaga kependidikan di lingkungan kampus C Universitas Airlangga. Amerta Nutrition. 2019;3 (2): 89–93.

31. Kelesidis T, Kelesidis I, Chou S, Mantzoros CS. The Role of Leptin in human Physiology NIH Public Access. Annals of Internal Medicine. 2011; 152 (2): 93–100.

DOI: http://dx.doi.org/10.21109/kesmas.v15i4.3561