Fast Food Consumption, Physical Activity, and Knowledge of Diabetes in Relation to Body Mass Index in Urban Adolescents: A Cross-Sectional Study

Penulis

  • Indah Puspitasari Department of Community and Family Nursing, Faculty of Health and Pharmacy, Universitas Bani Saleh, Bekasi, Indonesia.
  • Amzal Mortin Andas Department of Medical-Surgical Nursing, Faculty of Health and Pharmacy, Universitas Bani Saleh, Bekasi, Indonesia.
  • Ashar Prima Department of Medical-Surgical Nursing, Faculty of Health and Pharmacy, Universitas Bani Saleh, Bekasi, Indonesia.
  • Maratun Shoaliha Department of Pharmacy, Faculty of Health and Pharmacy, Universitas Bani Saleh, Bekasi, Indonesia.
  • Andi Tenri Nurwahidah Department of Pharmacy, Faculty of Health and Pharmacy, Universitas Bani Saleh, Bekasi, Indonesia.

DOI:

https://doi.org/10.32382/medkes.v21i1.2150

Kata Kunci:

Adolescents, boddy mass index, diabetes knowledge, fast food, physical activity

Abstrak

Urban adolescents tend to increase fast-food consumption and engage in unbalanced physical activity, which may contribute to abnormal Body Mass Index (BMI) and increase the risk of type 2 diabetes mellitus (DM). This study aimed to analyse the relationships among diabetes mellitus knowledge, fast-food dietary patterns, and physical activity with BMI among adolescents. A cross-sectional study was conducted among 290 urban adolescents from public senior high schools in Bekasi City, Indonesia, in December 2025, using stratified cluster sampling. DM knowledge was measured using the Diabetes Knowledge Questionnaire-24 (DKQ-24), fast-food intake using the Food Frequency Questionnaire (FFQ), and physical activity using the International Physical Activity Questionnaire (IPAQ). BMI was calculated from weight and height measurements. Data were analysed using Chi-Square and binary logistic regression tests with a significance level of α = 0.05. Fast-food dietary pattern (χ2 = 11.237; p = 0.010) and physical activity (χ2 = 17.584; p = 0.001) were significantly related to BMI; DM knowledge was not (χ2 = 1.838; p = 0.934). Fast-food dietary pattern was the dominant clinical factor for abnormal BMI (OR = 2.447; 95% CI 0.852–7.032; p = 0.098). Although fast-food dietary patterns showed a higher odds ratio for abnormal BMI, the association was not statistically significant (p = 0.098); however, the finding may still indicate a potential clinical trend that warrants attention. Physical activity was significantly associated with adolescent BMI. Nurses and health professionals should develop school-based nutrition education to reduce fast-food consumption and prevent early type 2 DM.

Referensi

1. Word Health Organization. WHO EUROPEAN REGIONAL OBESITY REPORT 2022. 2022.

2. Muharram FR, Swannjo JB, Melbiarta RR. Trends of diabetes and pre- ­ diabetes in Indonesia 2013 – 2023 : a serial analysis of national health surveys. 2025;1–11.

3. Kementrian Kesehatan Republik Indonesia. Laporan Riskesdas 2018 Nasional.pdf. 2018.

4. Nurwanti EH ;Jung SC. Rural–Urban Differences in Dietary Behavior and Obesity: Results of the Riskesdas Study in 10–18-Year-Old Indonesian Children and Adolescents. 2019;1–14.

5. Ramadhany RA, Wahyuningsih U, Sufyan DL, Simanungkalit SF. Determinants of Overweight and Obesity in Adolescent Aged 13-15 Years Old in DKI Jakarta ( Analysis of Riskesdas 2018 Data ) Determinan Gizi Lebih dan Obesitas pada Remaja Usia 13-15 Tahun di DKI. 2023;7(2):124–31.

6. Suha GR, Rosyada A. Faktor-faktor yang berhubungan dengan kejadian obesitas pada remaja umur 13 – 15 tahun di Indonesia ( analisis lanjut data Riskesdas 2018 ) Program Studi Ilmu Kesehatan Masyarakat , Fakultas Kesehatan Masyarakat , Universitas Sriwijaya. 2022;06(01):43–56.

7. Fatmawati TY, Efni N. Hubungan Aktifitas Fisik , Kebiasaan Konsumsi Fast Food , Konsumsi Buah dan Sayur terhadap Obesitas pada Remaja. 2024;13(September):270–6.

8. Vera. Pengaruh Konsumsi Fast Food terhadap Obesitas pada Remaja. 2025;(2020):202–9.

9. Obesity I, Force T. Global Prevalence of Overweight and Obesity in Children and Adolescents A Systematic Review and Meta-Analysis. 2024;178(8):800–13.

10. Hidayah RN, Nuradhiani A, Bohari B. The Relationship Between Dietary Patterns and the Incidence of Overweight among Adolescents. 2024;3(2):111–20.

11. Puspitasari I, Listyorini MW, Prima A, Minarningtyas A, Islam MSAD, Poddar S. Relationship Between COVID-19 Preventive Measures and Adolescent Anxiety Levels During the Transition Period. Malaysian J Med Heal Sci. 2023;19(Supplement 9):162–5.

12. Lalu Hendra Saputra. Analysis of the Relationship Between Dietary Patterns and the Risk of Non-Communicable Diseases Among Urban Adolescents in Mataram City, Lombok. 2025;3(2):66–74.

13. Cahyaningsih I, Rokhman MR, Maziyyah N, Niamuzisilawati E, Taxis K, Denig P. Translation and Validation of the Diabetes Knowledge Questionnaire in Indonesian Patients With Type 2 Diabetes. 2024;

14. Filippi AR, Amodio E, Napoli G, Breda J, Bianco A, Jemni M, et al. The web-based ASSO-food frequency questionnaire for adolescents : relative and absolute reproducibility assessment. 2014;1–11.

15. Dharmansyah D, Budiana D. Indonesian Adaptation of The International Physical Activity Questionnaire ( IPAQ ): Psychometric Properties.

16. Elias C, Abraham A. Prevalence of overweight / obesity and its association with fast food consumption among adolescents in Southern Ethiopia , 2022 : a cross-sectional study. 2025;(January).

17. Woo S, Yang H, Kim Y, Song HJ, Park KH, Woo S. Sedentary Time and Fast-Food Consumption Associated With Weight Gain During COVID-19 Lockdown in Children and Adolescents With Overweight or Obesity. 2022;37(12):1–11.

18. Slaght JL, Wicklow BA, Dart AB, Sellers EAC, Gabbs M, Carino M, et al. Physical activity and cardiometabolic health in adolescents with type 2 diabetes : a cross- ­ sectional study. 2021;1–7.

19. Oh S, Lee SY, Kim D yeon, Woo S, Kim Y, Lee H ja, et al. Association of Dietary Patterns with Weight Status and Metabolic Risk Factors among Children and Adolescents. 2021;1–13.

20. Li L, Sun N, Zhang L, Xu G, Liu J, Hu J, et al. Fast food consumption among young adolescents aged 12 – 15 years in 54 low- and middle-income countries. Glob Health Action [Internet]. 2020;13(1). Available from: https://doi.org/10.1080/16549716.2020.1795438

21. Fontes S, Id D, Diniz C, Faria FR, Roberto P. activity in Brazilian adolescents : Achievement recommendations and BMI associations through compositional data analysis. 2022;1–16. Available from: http://dx.doi.org/10.1371/journal.pone.0266926

22. Roberts-lewis SF, White CM, Ashworth M, Rose MR, White CM, Ashworth M, et al. The validity of the International Physical Activity Questionnaire ( IPAQ ) for adults with progressive muscle diseases The validity of the International Physical Activity Questionnaire ( IPAQ ) for adults with progressive muscle diseases ABSTRACT. Disabil Rehabil [Internet]. 2022;44(23):7312–20. Available from: https://doi.org/10.1080/09638288.2021.1983042

23. Rocha P, Meh K, Sember V, Va H, Jurak G. The dilemma of physical activity questionnaires : Fitter people are less prone to over reporting. 2023;1–16.

24. Moitra P, Madan J. Independent and combined influences of physical activity , screen time , and sleep quality on adiposity indicators in Indian adolescents. 2021;1–12.

25. Nagata JM, Smith N, Alsamman S, Lee CM, Dooley EE, Kiss O, et al. Association of Physical Activity and Screen Time With Body Mass Index Among US Adolescents. 2023;1–12.

26. Nigg C, Amrein M, Rackow P, Scholz U, Inauen J. Compensation and transfer effects of eating behavior change in daily life : Evidence from a randomized controlled trial. Appetite [Internet]. 2021;162(February):105170. Available from: https://doi.org/10.1016/j.appet.2021.105170

27. Sögüt SC. Determining the differences in nutrition knowledge , dietary behaviors , physical activity and self-efficacy behaviors based on obesity status among adolescents. 2018;15(2).

28. Alghanim L. Factors Associated With Self-efficacy Toward Healthy Eating and Physical Activity Among Kuwaiti Adolescent Girls. 2020;1–21.

29. Chu P, Patel A, Helgeson V, Goldschmidt AB, Ray MK, Vajravelu ME. Perception and Awareness of Diabetes Risk and Reported Risk-Reducing Behaviors in Adolescents. 2023;6(5):1–11.

Diterbitkan

2026-06-29

Cara Mengutip

Puspitasari, I., Mortin Andas, A., Prima, A., Shoaliha, M., & Tenri Nurwahidah, A. (2026). Fast Food Consumption, Physical Activity, and Knowledge of Diabetes in Relation to Body Mass Index in Urban Adolescents: A Cross-Sectional Study. Media Kesehatan Politeknik Kesehatan Makassar, 21(1), 104–111. https://doi.org/10.32382/medkes.v21i1.2150