The Use of Media in Stunting Extension to Adolescents at Senior High School, Langsa City
DOI:
https://doi.org/10.3889/oamjms.2022.10103Keywords:
Media, Stunting, AdolescentsAbstract
Abstract
BACKGROUND: stunting is still a severe problem in today's youth. One of the causes of stunting nutrition problems is the ignorance of adolescents about adolescent nutrition and nutritional problems that occur. Knowledge of adolescent nutrition about health and nutritional problems, especially stunting, is needed to break the intergenerational chain of stunting in the future. One of the efforts to deal with stunting in adolescents is counseling using media.
AIM: Knowing the Use of Media in Stunting Counseling for Teenagers at Langsa High School
METHODS: This type of research is a quasi-experiment with a two-group pre-test and post-test design. The test used was the Pairet Sample t-test and Independent t-test with a significance level (α) of 0.05 (95%).
RESULTS: The results showed a difference in the knowledge of the students of Senior High School 1 Langsa after the Leaflet and tik to intervention with the mean value after the leaflet intervention 18.63 and the mean difference being 1.188. The mean value after the tick-tock intervention is 17.44, and the mean difference is 1.188 with a p-value of 0.005. This value implies differences in the knowledge of Senior High School 1 Langsa students after the intervention using leaflets and tik tok. In the attitude aspect, there are differences in the students' attitudes of Senior High School 2 Langsa after the Leaflet and Tik-Tok intervention, with the mean value after the leaflet intervention 40.13 and the mean difference being 3,958. The mean value after the Tik-Tok intervention is 36.17, the mean difference is 3.958, and the p-value is 0.011. This value means that there are differences in the attitudes of students at Senior High School 2 Langsa after the Leaflet and Tik-Tok intervention was carried out
CONCLUSION: The use of TikTok and Leaflet media has proven effective in stunting counseling for adolescents in high school in Kota Langsa. This is evidenced by the statistical results that show differences in knowledge and attitudes of Senior High School 1 and Senior High School 2 students after the intervention using leaflets and Tik-Tok (p-value 0.005).
Downloads
Metrics
Plum Analytics Artifact Widget Block
References
Budiastutik I, Nugraheni SA. Determinants of stunting in Indonesia: A review article. Int J Healtcare Res. 2018;1(1):43-9.
Bassey C, Crooks H, Paterson K, Ball R, Howell K, Humphries-Cuff I, et al. Impact of home food production on nutritional blindness, stunting, wasting, underweight and mortality in children: A systematic review and meta-analysis of controlled trials. Crit Rev Food Sci Nutr. 2020;62(7):1856-69. https://doi.org/10.1080/10408398.2020.1848786 PMid:33272038 DOI: https://doi.org/10.1080/10408398.2020.1848786
Laksono AD, Sandra C. Ecological Analysis of Healthcare Childbirth in Indonesia. Bul Penelitian Sist Kesehatan. 2020;23(1):2323. https://doi.org/10.22435/hsr.v23i1.2323 DOI: https://doi.org/10.22435/hsr.v23i1.2323
World Health Organization. Defining Competent Maternal and Newborn Health Professionals: Background Document to the 2018 Joint Statement by. In: Definition of Skilled Health Personnel Providing Care During Childbirth. Geneva: World Health Organization; 2018. https://doi.org/10.1017/s0021932002242832 DOI: https://doi.org/10.1017/S0021932002242832
Orben A. Teenagers, screens and social media: A narrative review of reviews and key studies. Soc Psychiatry Psychiatr Epidemiol. 2020;55(4):407-14. https://doi.org/10.1007/s00127-019-01825-4 PMid:31925481 DOI: https://doi.org/10.1007/s00127-019-01825-4
Melkers J, Hicks D, Rosenblum S, Isett KR, Elliott J. Dental blogs, podcasts, and associated social media: Descriptive mapping and analysis. J Med Internet Res. 2017;19(7):e269. https://doi.org/10.2196/jmir.7868 PMid:28747291 DOI: https://doi.org/10.2196/jmir.7868
El Tantawi M, Bakhurji E, Al-Ansari A, AlSubaie A, Al Subaie HA, Alali A. Indicators of adolescents’ preference to receive oral health information using social media. Acta Odontol Scand. 2019;77(3):213-8. https://doi.org/10.1080/00016357.2018.1536803 PMid:30632864 DOI: https://doi.org/10.1080/00016357.2018.1536803
Karuniawati H, Putra ON, Wikantyasning ER. Impact of pharmacist counseling and leaflet on the adherence of pulmonary tuberculosis patients in lungs hospital in Indonesia. Indian J Tuberc. 2019;66(3):364-9. https://doi.org/10.1016/j.ijtb.2019.02.015 PMid:31439181 DOI: https://doi.org/10.1016/j.ijtb.2019.02.015
Gangol R, Maharjan D. Information leaflet as an adjunct to verbal counseling in obtaining informed consent. JNMA J Nepal Med Assoc. 2010;49(178):117-20. https://doi.org/10.31729/jnma.110 PMid:21485596 DOI: https://doi.org/10.31729/jnma.110
Moreno MA, Uhls YT. Applying an affordances approach and a developmental lens to approach adolescent social media use. Digit Health. 2019;5:2055207619826678. https://doi.org/10.1177/2055207619826678 PMid:30746154 DOI: https://doi.org/10.1177/2055207619826678
Fraticelli L, Smentek C, Tardivo D, Masson J, Clément C, Roy S, et al. Characterizing the content related to oral health education on tiktok. Int J Environ Res Public Health. 2021;18(24):13260. https://doi.org/10.3390/ijerph182413260 PMid:34948869 DOI: https://doi.org/10.3390/ijerph182413260
Montag C, Yang H, Elhai JD. On the psychology of tiktok use: A first glimpse from empirical findings. Front Public Health. 2021;9:641673. https://doi.org/10.3389/fpubh.2021.641673 PMid:33816425 DOI: https://doi.org/10.3389/fpubh.2021.641673
Marengo D, Sindermann C, Elhai JD, Montag C. One social media company to rule them all: Associations between use of facebook-owned social media platforms, sociodemographic characteristics, and the big five personality traits. Front Psychol. 2020;11:936. https://doi.org/10.3389/fpsyg.2020.00936 PMid:32547442 DOI: https://doi.org/10.3389/fpsyg.2020.00936
Rozgonjuk D, Sindermann C, Elhai JD, Montag C. Comparing senior high schoolrtphone, whatsapp, facebook, instagram, and snapchat: Which platform elicits the greatest use disorder symptoms? Cyberpsychol Behav Soc Netw. 2021;24(2):129-34. https://doi.org/10.1089/cyber.2020.0156 PMid:32907403 DOI: https://doi.org/10.1089/cyber.2020.0156
Basch CH, Fera J, Pierce I, Basch CE. Promoting mask use on tiktok: Descriptive, cross-sectional study. JMIR Public Health Surveill. 2021;7(2):e26392. https://doi.org/10.2196/26392 PMid: 33523823 DOI: https://doi.org/10.2196/26392
Abi-Jaoude E, Naylor KT, Pignatiello A. Senior high schoolrtphones, social media use and youth mental health. CMAJ. 2020;192(6):E136-41. https://doi.org/10.1503/cmaj.190434 PMid:32041697 DOI: https://doi.org/10.1503/cmaj.190434
Ridout B, Campbell A. The use of social networking sites in mental health interventions for young people: Systematic review. J Med Internet Res. 2018;20(12):e12244. https://doi.org/10.2196/12244 PMid:30563811 DOI: https://doi.org/10.2196/12244
Nesi J. The impact of social media on youth mental health: Challenges and opportunities. N C Med J. 2020;81(2):116-21. https://doi.org/10.18043/ncm.81.2.116 PMid:32132255 DOI: https://doi.org/10.18043/ncm.81.2.116
Yang W, Qian Z. Understanding the Characteristics of Category-specific YouTube Videos. Entstanden im Rahmen eines Informatikseminars an Der Kanadischen Simon Fraser University; 2011.
Morcillo JM, Czurda K, Trotha CY. Typologies of the popular science web video. JCOM J Sci Commun. 2015;15(4): 1-32. https://doi.org/10.22323/2.15040202 DOI: https://doi.org/10.22323/2.15040202
Madathil KC, Rivera-Rodriguez AJ, Greenstein JS, Gramopadhye AK. Healthcare information on YouTube: A systematic review. Health Inform J. 2015;21(3):173-94. https://doi.org/10.1177/1460458213512220 PMid:24670899 DOI: https://doi.org/10.1177/1460458213512220
Short SE, Mollborn S. Social determinants and health behaviors: Conceptual frames and empirical advances. Curr Opin Psychol. 2015;5:78-84. https://doi.org/10.1016/j.copsyc.2015.05.002 PMid:26213711 DOI: https://doi.org/10.1016/j.copsyc.2015.05.002
Modrá H, Ulmann V, Caha J, Hübelová D, Konečný O, Svobodová J, et al. Socio-economic and environmental factors related to spatial differences in human Non-tuberculous mycobacterial diseases in the czech republic. Int J Environ Res Public Health. 2019;16(20):3969. https://doi.org/10.3390/ijerph16203969 PMid:31627484 DOI: https://doi.org/10.3390/ijerph16203969
Bhatnagar A. Environmental determinants of cardiovascular disease. Circ Res. 2017;121(2):162-80. https://doi.org/10.1161/CIRCRESAHA.117.306458 PMid:28684622 DOI: https://doi.org/10.1161/CIRCRESAHA.117.306458
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2022 Lina Lina, Eva Sulistany, Elfida Elfida, Alfian Helm, Alchalidi Alchalidi, Arbaiyah Arbaiyah, Supriyanti Supriyanti (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
http://creativecommons.org/licenses/by-nc/4.0
