Fast Food Consumption’s Correlation with Teen Obesity in Lampung’s Negeri Katon Village, Indonesia

Main Article Content

Cici Tria Fatmala
Rahmawati Azizah

Abstract

The prevalence of fast-food consumption among teenagers in Negeri Katon Village has burgeoned, propelled by its ubiquitous availability and convenience, thereby precipitating a transition from traditional, healthful dietary patterns to the consumption of fast food, characterized by its elevated fat, sugar, and calorie content. The objective of this study is to assess the nexus between fast food consumption patterns and instances of adolescent obesity in Negeri Katon Village utilizing contingency table analysis. Data were sourced from a cohort of adolescents residing in Negeri Katon Village and scrutinized to ascertain the presence of a correlation between fast food consumption and the prevalence  of obesity. Subsequent to the analysis, a p-value of 0.0003976 was attained, signifying statistical significance at an alpha level of 0.05. Hence, it can be inferred that a correlation exists between fast food consumption and adolescent obesity incidence in Negeri Katon Village.

Downloads

Download data is not yet available.

Article Details

How to Cite
Fatmala, C. T. ., & Azizah, R. (2024). Fast Food Consumption’s Correlation with Teen Obesity in Lampung’s Negeri Katon Village, Indonesia. Symmetry & Sigma: Journal of Mathematical Structures and Statistical Patterns, 1(1), 16-28. https://doi.org/10.58989/symmerge.v1i1.7
Section
Articles

How to Cite

Fatmala, C. T. ., & Azizah, R. (2024). Fast Food Consumption’s Correlation with Teen Obesity in Lampung’s Negeri Katon Village, Indonesia. Symmetry & Sigma: Journal of Mathematical Structures and Statistical Patterns, 1(1), 16-28. https://doi.org/10.58989/symmerge.v1i1.7

References

Journals

Cahyorini, R. W., Tanu, I. N., & Suwita, I. K. (2022). Hubungan Pola Makan , Aktivitas Fisik dan Konsumsi Fast Food terhadap Kejadian Gizi Lebih pada Remaja The Relationship of Food Consumption Pattern , Physical Activity and Consumption Fast Food to Overnutrition Events in Adolescent. Agrihhealt: Journal of Agri-Food, Nutrition and Public Health, 2(2), 123–146. http://dx.doi.org/10.20961/agrihealth.v2i2.54283

Dewita, E. (2021). Hubungan Pola Makan Dengan Kejadian Obesitas pada Remaja di SMA Negeri 2 Tambang. Jurnal Kesehatan Tambusai, 2(1), 7–14. https://doi.org/10.31004/jkt.v2i1.1554

Hafid, W., & Hanapi, S. (2019). Hubungan Aktivitas Fisik dan Konsumsi Fast Food dengan Kejadian Obesitas Pada Remaja. Kampurui: Jurnal Kesehatan Masyarakat, 1(1), 6–10. https://doi.org/10.55340/kjkm.v1i1.49

Hanani, R., Badrah, S., & Noviasty, R. (2021). Pola Makan, Aktivitas Fisik dan Genetik Mempengaruhi Kejadian Obesitas Pada Remaja di SMK Wilayah Kerja Puskesmas Segiri. Jurnal Kesehatan Metro Sai Wawai, 14(2), 120–129. https://doi.org/10.26630/jkm.v14i2.2665

Oliveira, N. L., Pereira, C. A. de B., Diniz, M. A., & Polpo, A. (2018). A Discussion on Significance Indices for Contingency Tables Under Small Sample Sizes. Plos One, 13(8), e0199102. https://doi.org/10.1371/journal.pone.0199102

Qurrotul ’Aini, N. D., Maharani, A. A., Maharani, T. D., Nurannisa, N. S., & Herbawani, C. K. (2023). Risiko Obesitas pada Anak Akibat Konsumsi Fast Food dan Junk Food: Literature Review. Muhammadiyah Journal of Nutrition and Food Science, 4(2), 110–119. https://doi.org/10.24853/mjnf.4.2.110-119

Satria, T. A. I., Imro’ah, N., & Huda, N. M. (2023). Penerapan Model Log Linier Dalam Menganalisis Tabel Kontingensi Dua Arah. Bimaster: Buletin Ilmiah Matematika, Statistika Dan Terapannya, 12(6), 545–552. http://dx.doi.org/10.26418/bbimst.v12i6.72242

Suha, G. R., & Rosyada, A. (2022). Faktor-Faktor Yang Berhubungan dengan Kejadian Obesitas pada Remaja Umur 13–15 Tahun di Indonesia: Analisis Lanjut Data Riskesdas 2018. Ilmu Gizi Indonesia, 6(1), 43–56. https://doi.org/10.35842/ilgi.v6i1.339

Telisa, I., Hartati, Y., & Haripamilu, A. D. (2020). Risk Factors of Obesity among Adolescents in Senior High School. Faletehan Health Journal, 7(3), 124–131. https://doi.org/10.33746/fhj.v7i03.160

Teuscher, F. (2022). The Quantification of Simpson’s Paradox and Other Contributions to Contingency Table Theory. PLoS One, 17(2), e0262502. https://doi.org/10.1371/journal.pone.0262502

Wahyuningsih, R., & Pratiwi, I. G. (2019). Hubungan Aktifitas Fisik dengan Kejadian Kegemukan pada Remaja di Jurusan Gizi Politeknik Kesehatan Mataram. AcTion: Aceh Nutrition Journal, 4(2), 163. https://doi.org/10.30867/action.v4i2.180

Zogara, A. U., Loaloka, M. S., & Pantaleon, M. G. (2022). Sosio Ekonomi Orang Tua, Uang Saku, dan Media Sosial Berhubungan Dengan Perilaku Konsumsi Fast Food pada Remaja Putri di Kota Kupang. Journal of Nutrition College, 11(4), 303–309. https://doi.org/10.14710/jnc.v11i4.35589

Books

Espinosa-Salas, S., & Gonzalez-Arias, M. (2023). Behavior Modification for Lifestyle Improvement. StatPearls Publishing.

Fagerland, M., Lydersen, S., & Laake, P. (2017). Statistical Analysis of Contingency Tables (1st ed.). Chapman & Hall/CRC. https://doi.org/10.1201/9781315374116

Sobel, M. E. (1995). The Analysis of Contingency Tables. In G. Arminger, C. C. Clogg, & M. E. Sobel (Eds.), Handbook of Statistical Modeling for the Social and Behavioral Sciences (pp. 251–310). Springer. https://doi.org/10.1007/978-1-4899-1292-3_5

Reports

Institute for Health Metrics and Evaluation. (2019). Global Burden of Disease (GBD). In Institute for Health Metrics and Evaluation. https://www.healthdata.org/research-analysis/gbd

Similar Articles

You may also start an advanced similarity search for this article.