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Influence of BAZ on fasting blood glucose levels as a prediabetes indicator in adolescents in Jambi City
Egy Sunanda Putra* -
Jurusan Promosi Kesehatan dan Pusat Unggulan IPTEK, Politeknik Kesehatan Kementerian Kesehatan Jambi, Jambi, Indonesia
Junita Junita -
Jurusan Keperawatan dan Pusat Unggulan IPTEK, Politeknik Kesehatan Kementerian Kesehatan Jambi, Jambi
Sarinah Siregar -
Jurusan Teknologi Laboratorium Medis dan Pusat Unggulan IPTEK, Politeknik Kesehatan Kementerian Kesehatan Jambi, Jambi
Prediabetes is an intermediate stage of impaired glucose tolerance (IGT). If left unresolved for 3-5 years, it can significantly increase the risk of developing diabetes mellitus. Body mass index (BMI) for age score (BAZ) is a key indicator of lifestyle choices that influence the risk of prediabetes. Objective: To investigate the interaction between BAZ and fasting blood glucose as a prediabetes indicator. The methods. This cross-sectional study was conducted at Senior High School 2 in Jambi City in 2019. A total of 140 participants aged 15-18 years were included, meeting criteria such as parental/guardian consent, willingness to participate, and fasting from 11 p.m. to 7:30 a.m. Independent variables included a family history of diabetes mellitus, family history of obesity, consumption of carbohydrates, fats, sugary drinks, waist-to-height ratio, physical activity, and BMI. The dependent variable, prediabetes, was measured using fasting blood glucose with a spectrophotometer biochemical analyzer AE-600N at a wavelength of 500 nm. Data were analyzed using the chi-squared test and multiple logistic regression analysis, The results showed a significant interaction between BMI and prediabetes (p=0,026; OR=4,34) after confounding factor analysis of family history of diabetes (p=0,050; OR=3,00), physical activity (p=0,020; OR=5,012), and sugar-sweetened beverages (p=0,018; OR=4,21), even after adjusting for other independent variables. In conclusion, BAZ > 1 SD was the dominant factor associated with an increased risk of prediabetes.
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Keywords : Glucose intolerance, insulin sensitivity, in paired glucose
- Arslanian, S., Bacha, F., Grey, M., Marcus, M. D., White, N. H., & Zeitler, P. (2018). Evaluation and management of youth-onset type 2 diabetes: A position statement by the American diabetes association. Diabetes Care, 41(12), 2648–2668. https://doi.org/10.2337/dci18-0052
- Astuti, A. (2019). Usia, Obesitas dan Aktifitas Fisik Beresiko Terhadap Prediabetes. Jurnal Endurance, 4(2), 319. https://doi.org/10.22216/jen.v4i2.3757
- Bacha, F., Lee, S., Gungor, N., & Arslanian, S. A. (2010). From pre-diabetes to type 2 diabetes in obese youth: pathophysiological characteristics along the spectrum of glucose dysregulation. Diabetes Care, 33(10), 2225–2231. https://doi.org/10.2337/DC10-0004
- Barazzoni, R., Deutz, N. E. P., Biolo, G., Bischoff, S., Boirie, Y., Cederholm, T., Cuerda, C., Delzenne, N., Leon Sanz, M., Ljungqvist, O., Muscaritoli, M., Pichard, C., Preiser, J. C., Sbraccia, P., Singer, P., Tappy, L., Thorens, B., Van Gossum, A., Vettor, R., & Calder, P. C. (2017). Carbohydrates and insulin resistance in clinical nutrition: Recommendations from the ESPEN expert group. Clinical Nutrition (Edinburgh, Scotland), 36(2), 355–363. https://doi.org/10.1016/J.CLNU.2016.09.010
- Chan, Y. Y., Lim, K. K., Lim, K. H., Teh, C. H., Kee, C. C., Cheong, S. M., Khoo, Y. Y., Baharudin, A., Ling, M. Y., Omar, M. A., & Ahmad, N. A. (2017). Physical activity and overweight/obesity among Malaysian adults: findings from the 2015 National Health and morbidity survey (NHMS). BMC Public Health, 17(1). https://doi.org/10.1186/S12889-017-4772-Z
- Davidson, K. W., Barry, M. J., Mangione, C. M., Cabana, M., Caughey, A. B., Davis, E. M., Donahue, K. E., Doubeni, C. A., Krist, A. H., Kubik, M., Li, L., Ogedegbe, G., Owens, D. K., Pbert, L., Silverstein, M., Stevermer, J., Tseng, C. W., & Wong, J. B. (2021). Screening for Prediabetes and Type 2 Diabetes: US Preventive Services Task Force Recommendation Statement. JAMA, 326(8), 736–743. https://doi.org/10.1001/JAMA.2021.12531
- Djap, H. S., Sutrisna, B., Soewondo, P., Djuwita, R., & Timotius, K. H. (2018). Waist to height ratio ( 0 . 5 ) as a predictor for prediabetes and type 2 diabetes in Indonesia Waist to height ratio ( 0 . 5 ) as a predictor for prediabetes and type 2 diabetes in Indonesia. 0–6. https://doi.org/10.1088/1757-899X/434/1/012311
- Dutta, A., Kumar, A., & Kumari, S. (2020). Correlation between non-diabetic fasting blood glucose levels and 2-h post loading blood sugar levels with waist-to-height ratio in rural population of Malwa region of Central India. National Journal of Physiology, Pharmacy and Pharmacology, 10(2), 1. https://doi.org/10.5455/NJPPP.2020.10.0931726112019
- Echouffo-Tcheugui, J. B., & Selvin, E. (2020). Prediabetes and What It Means: The Epidemiological Evidence. Annual Review of Public Health, 42, 59–77. https://doi.org/10.1146/annurev-publhealth-090419-102644
- Guess, N. (2018). Dietary Interventions for the Prevention of Type 2 Diabetes in High-Risk Groups: Current State of Evidence and Future Research Needs. Nutrients, 10(9), 1245. https://doi.org/10.3390/nu10091245
- Gupta, A. K., Menon, A., Brashear, M., & Johnson, W. D. (2018). Prediabetes. In Nutritional and Therapeutic Interventions for Diabetes and Metabolic Syndrome (Second Edi). Elsevier Inc. https://doi.org/10.1016/B978-0-12-812019-4.00002-7
- Huang, L., Fang, Y., & Tang, L. (2021). Comparisons of different exercise interventions on glycemic control and insulin resistance in prediabetes: a network meta-analysis. BMC Endocrine Disorders, 21(1). https://doi.org/10.1186/S12902-021-00846-Y
- Jiang, Y., Dou, Y., Chen, H., Zhang, Y., Chen, X., Wang, Y., Rodrigues, M., & Yan, W. (2021). Performance of waist-to-height ratio as a screening tool for identifying cardiometabolic risk in children: a meta-analysis. Diabetology & Metabolic Syndrome, 13(1), 66. https://doi.org/10.1186/s13098-021-00688-7
- Junita, Siregar S, P. E. (2021). Interaksi Konsumsi minuman manis prediktor risiko prediabetes remaja Kota Jambi. Riset Informasi Kesehatan, 10(2), 89–97. http://jurnal.stikes-hi.ac.id/index.php/rik/article/view/538/178
- Kementerian Kesehatan RI. (2024). Survei Kesehata Indonesia. In Badan Kebijakan Pembangunan Kesehatan, Jakarta (Vol. 01).
- Kesehatan Masyarakat, F., Kurnia Saraswati, S., Dhista Rahmaningrum, F., Naufal Zidane Pahsya, M., Paramitha, N., Wulansari, A., Rossa Ristantya, A., Magdalena Sinabutar, B., Estetika Pakpahan, V., & Nandini, N. (2021). Literature Review : Faktor Risiko Penyebab Obesitas. MEDIA KESEHATAN MASYARAKAT INDONESIA, 20(1), 70–74. https://doi.org/10.14710/MKMI.20.1.70-74
- Khoiriyah, D., Murbawani, E. A., & Panunggal, B. (2018). Hubungan Asupan Karbohidrat dan Aktivitas Fisik dengan Prediabetes pada Wanita Dewasa. https://ejournal.undip.ac.id/index.php/jgi/
- Kuwabara, M., Kuwabara, R., Niwa, K., Hisatome, I., Smits, G., Roncal-Jimenez, C. A., Maclean, P. S., Yracheta, J. M., Ohno, M., Lanaspa, M. A., Johnson, R. J., & Jalal, D. I. (2018). Different Risk for Hypertension, Diabetes, Dyslipidemia, and Hyperuricemia According to Level of Body Mass Index in Japanese and American Subjects. Nutrients 2018, Vol. 10, Page 1011, 10(8), 1011. https://doi.org/10.3390/NU10081011
- Kwak, J. H., Jo, G., Chung, H. K., & Shin, M. J. (2019). Association between sugar-sweetened beverage consumption and incident hypertension in Korean adults: a prospective study. European Journal of Nutrition, 58(3), 1009–1017. https://doi.org/10.1007/S00394-018-1617-1
- Lee, G., Han, J. H., Maeng, H. J., & Lim, S. (2020). Three-Month Daily Consumption of Sugar-Sweetened Beverages Affects the Liver, Adipose Tissue, and Glucose Metabolism. Journal of Obesity & Metabolic Syndrome, 29(1), 26. https://doi.org/10.7570/JOMES19042
- Lee, H. J., Shim, Y. S., Yoon, J. S., Jeong, H. R., Kang, M. J., & Hwang, I. T. (2021). Distribution of waist-to-height ratio and cardiometabolic risk in children and adolescents: a population-based study. Scientific Reports 2021 11:1, 11(1), 1–10. https://doi.org/10.1038/s41598-021-88951-9
- Li, S., Cao, M., Yang, C., Zheng, H., & Zhu, Y. (2019). Association of sugar-sweetened beverage intake with risk of metabolic syndrome among children and adolescents in urban China. Public Health Nutrition, 23(15). https://doi.org/10.1017/S1368980019003653
- Lie, S., Morrison, J. L., Williams-Wyss, O., Suter, C. M., Humphreys, D. T., Ozanne, S. E., Zhang, S., MacLaughlin, S. M., Kleemann, D. O., Walker, S. K., Roberts, C. T., & Caroline McMillen, I. (2014). Periconceptional undernutrition programs changes in insulin-signaling molecules and microRNAs in skeletal muscle in singleton and twin fetal sheep. Biology of Reproduction, 90(1). https://doi.org/10.1095/BIOLREPROD.113.109751
- Liu, C., Wu, S., & Pan, X. (2021). Clustering of cardio-metabolic risk factors and pre-diabetes among U.S. adolescents. Scientific Reports, 11(1), 5015. https://doi.org/10.1038/S41598-021-84128-6
- Lobos, D. R., Vicuña, I. A., Novik, V., & Vega, C. A. (2017). Effect of high and low glycemic index breakfast on postprandial metabolic parameters and satiety in subjects with type 2 diabetes mellitus under intensive insulin therapy: Controlled clinical trial. Clinical Nutrition ESPEN, 20, 12–16. https://doi.org/10.1016/j.clnesp.2017.04.082
- Ly, T. T., Maahs, D. M., Rewers, A., Dunger, D., Oduwole, A., & Jones, T. W. (2014). Assessment and management of hypoglycemia in children and adolescents with diabetes. Pediatric Diabetes, 15(S20), 180–192. https://doi.org/10.1111/pedi.12174
- Ma, J., Jacques, P. F., Meigs, J. B., Fox, C. S., Rogers, G. T., Smith, C. E., Hruby, A., Saltzman, E., & McKeown, N. M. (2016). Sugar-sweetened beverage but not diet soda consumption is positively associated with progression of insulin resistance and prediabetes. Journal of Nutrition, 146(12), 2544–2550. https://doi.org/10.3945/jn.116.234047
- Menke, A., Casagrande, S., & Cowie, C. C. (2016). Prevalence of diabetes in adolescents aged 12 to 19 years in the United States, 2005-2014. In JAMA - Journal of the American Medical Association (Vol. 316, Issue 3, pp. 344–345). American Medical Association. https://doi.org/10.1001/jama.2016.8544
- Min, J. E., Green, D. B., & Kim, L. (2017). Calories and sugars in boba milk tea: implications for obesity risk in Asian Pacific Islanders. Food Science and Nutrition, 5(1), 38–45. https://doi.org/10.1002/fsn3.362
- Monhaty, B. (2018). Prediabetes precursor to type 2 diabetes ,act today - block the road to diabetes. Indian Journal of Research, 7(3), 188–189. https://doi.org/10.36106
- Nanditha, A., Ma, R. C. W., Ramachandran, A., Snehalatha, C., Chan, J. C. N., Chia, K. S., Shaw, J. E., & Zimmet, P. Z. (2016). Diabetes in Asia and the Pacific: Implications for the Global Epidemic. Diabetes Care, 39(3), 472–485. https://doi.org/10.2337/DC15-1536
- Narasimhan, S., & Weinstock, R. S. (2014). Youth-onset type 2 diabetes mellitus: lessons learned from the TODAY study. Mayo Clinic Proceedings, 89(6), 806–816. https://doi.org/10.1016/J.MAYOCP.2014.01.009
- Park, K. S., & Hwang, S. Y. (2020). Lifestyle-related predictors affecting prediabetes and diabetes in 20-30-year-old young Korean adults. Epidemiology and Health, 42, 1–9. https://doi.org/10.4178/epih.e2020014
- Putra, E. S., & Junita. (2022). Rasio lingkar pinggang tinggi badan dan aktivitas fisik sebagai risiko prediabetes remaja Kota Jambi. Riset Informasi Kesehatan, 11(1), 45–53. https://doi.org/10.30644/rik.v11i1.626
- Rodríguez, L. A., Madsen, K. A., Cotterman, C., & Lustig, R. H. (2016). Added sugar intake and metabolic syndrome in US adolescents: Cross-sectional analysis of the National Health and Nutrition Examination Survey 2005-2012. Public Health Nutrition, 19(13), 2424–2434. https://doi.org/10.1017/S1368980016000057
- Seferidi, P., Millett, C., & Laverty, A. A. (2018). Sweetened beverage intake in association to energy and sugar consumption and cardiometabolic markers in children. Pediatric Obesity, 13(4), 195–203. https://doi.org/10.1111/ijpo.12194
- Seo, Y. G., Lim, H., Kim, Y. M., Ju, Y. S., Choi, Y. J., Lee, H. J., Jang, H. B., Park, S. I., & Park, K. H. (2021). Effects of circuit training or a nutritional intervention on body mass index and other cardiometabolic outcomes in children and adolescents with overweight or obesity. PLoS ONE, 16(1 January), 1–21. https://doi.org/10.1371/journal.pone.0245875
- Shin, S., Kim, S. A., Ha, J., & Lim, K. (2018). Sugar-sweetened beverage consumption in relation to obesity and metabolic syndrome among Korean adults: A cross-sectional study from the 2012–2016 Korean national health and nutrition examination survey (KNHANES). Nutrients, 10(10). https://doi.org/10.3390/nu10101467
- Solikhah, L. (2019). Hubungan Konsumsi Ikan, Sarapan, Kualitas Tidur dan Rasio Lingkar Pinggang-Tinggi Badan dengan Kejadian Prediabetes pada Remaja Usia 14-18 Tahun. https://digilib.uns.ac.id/dokumen/detail/78270/Hubungan-Konsumsi-Ikan-Sarapan-Kualitas-Tidur-dan-Rasio-Lingkar-Pinggang-Tinggi-Badan-dengan-Kejadian-Prediabetes-pada-Remaja-Usia-14-18-Tahun
- Teshima, N., Shimo, M., Miyazawa, K., Konegawa, S., Matsumoto, A., Onishi, Y., Sasaki, R., Suzuki, T., Yano, Y., Matsumoto, K., Yamada, T., Gabazza, E. C., Takei, Y., & Sumida, Y. (2015). Effects of sugar-sweetened beverage intake on the development of type 2 diabetes mellitus in subjects with impaired glucose tolerance: the Mihama diabetes prevention study. Journal of Nutritional Science and Vitaminology, 61(1), 14–19. https://doi.org/10.3177/JNSV.61.14
- Tseng, T.-S., Lin, W.-T., Gonzalez, G. V, Kao, Y.-H., Chen, L.-S., & Lin, H.-Y. (2021). Sugar intake from sweetened beverages and diabetes: A narrative review. World Journal of Diabetes, 12(9), 1530. https://doi.org/10.4239/WJD.V12.I9.1530
- Vasquez, F., Correa-Burrows, P., Blanco, E., Gahagan, S., & Burrows, R. (2019a). A waist-to-height ratio of 0.54 is a good predictor of metabolic syndrome in 16-year-old male and female adolescents. Pediatric Research, 85(3), 269–274. https://doi.org/10.1038/S41390-018-0257-8
- Vasquez, F., Correa-Burrows, P., Blanco, E., Gahagan, S., & Burrows, R. (2019b). A waist-to-height ratio of 0.54 is a good predictor of metabolic syndrome in 16-year-old male and female adolescents. Pediatric Research, 85(3), 269–274. https://doi.org/10.1038/s41390-018-0257-8
- Wang, J. W., Light, K., Henderson, M., O’Loughlin, J., Mathieu, M. E., Paradis, G., & Gray-Donald, K. (2014). Consumption of added sugars from liquid but not solid sources predicts impaired glucose homeostasis and insulin resistance among youth at risk of obesity. Journal of Nutrition, 144(1), 81–86. https://doi.org/10.3945/jn.113.182519
- Weiss, R., Santoro, N., Giannini, C., Galderisi, A., Umano, G. R., & Caprio, S. (2017). Prediabetes in youths: mechanisms and biomarkers. The Lancet Child and Adolescent Health, 1(3), 240–248. https://doi.org/10.1016/S2352-4642(17)30044-5
- Zhang, F. L., Ren, J. X., Zhang, P., Jin, H., Qu, Y., Yu, Y., Guo, Z. N., & Yang, Y. (2021). Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China. Journal of Diabetes Research, 2021. https://doi.org/10.1155/2021/8812431
- Zuniga, R. E., & Deboer, M. D. (2021). Prediabetes in adolescents: Prevalence, management and diabetes prevention strategies. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 14, 4609–4619. https://doi.org/10.2147/DMSO.S284401


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Article Info
Submitted: 16-05-2024
Published: 12-12-2024
Section: Original Research
Published In Vol 9, No 4 (2024): December
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