PROFILE OF PREDIABETES IN PRODUCTIVE AGE

Asri Wido Mukti, Dewi Perwito Sari, Prisma Trida Hardani, Asti Rahayu, Nina Hidayatunnikmah, Yurika Sastyarina, Muhamad Handoyo Sahumena, Ira Purbosari

Abstract


Prediabetes adalah keadaan yang ditandai dengan gangguan glukosa puasa atau gangguan toleransi glukosa. Indonesia menduduki peringkat ke tujuh di dunia dengan jumlah penduduk diabetes tertinggi. Di seluruh dunia, ada lebih dari 400 juta orang dengan prediabetes dan proyeksi menunjukkan bahwa lebih dari 470 juta orang akan mengalami prediabetes pada tahun 2030. Estimasi handal yang berkelanjutan diperlukan untuk merencanakan program pencegahan dan pengobatan yang efektif untuk manajemen diabetes secara nasional untuk menurunkan angka tersebut khususnya pada masyakat usia produktif. Kebaruan penelitian ini menganalisis profil prediabetes pada usia produktif. Penelitian ini bertujuan untuk menganalisis gambaran terkait tingkat prediabetes pada usia produktif. Penelitian ini merupakan penelitian observasional dengan analisis deskriptif. Responden yang diambil sebagai sampel yaitu pria maupun wanita dengan usia produktif (15-64 tahun) di salah satu perguruan tinggi negeri di Kota Malang yang bersedia mengisi kuesioner yang meliputi nama, umur, tingkat pendidikan, nilai gula darah acak, tekanan darah, berat badan, tinggi badan, ada tidaknya Riwayat diabetes dalam keluarga dan frekuensi aktivitas fisik yang dilakukan. Data yang terkumpul diolah untuk mendapatkan nilai/skor prediabetes dengan bantuan website CDC untuk mendapatkan nilai / skor prediabetes.  Berdasarkan hasil survey langsung terhadap 101 responden dapat disimpulkan bahwa dari ke enam parameter penentu pre diabetes (usia, jenis kelamin, tekanan darah, BMI, dan Riwayat keluarga) maka dari 101 responden usia produktif sebanyak 92,1% responden memiliki resiko rendah pre diabetes dan 7,9% memiliki resiko tinggi prediabetes.

Kata kunci: Diabetes; Gula Darah; Prediabetes; Usia Produktif.

 

Abstract

Prediabetes is a condition characterized by impaired fasting glucose or impaired glucose tolerance. Indonesia is ranked seventh in the world with the highest number of diabetics. Worldwide, there are more than 400 million people with prediabetes and projections show that more than 470 million people will have prediabetes by 2030. Reliable estimates are useful for planning effective prevention and treatment programs for diabetes management nationwide to reduce this number especially in people of working age. Therefore, this study aims to provide an overview regarding the level of prediabetes in productive age. This research is an observational study with descriptive analysis. Respondents who met these criteria filled out a questionnaire which included name, age, level of education, random blood sugar values, blood pressure, weight, height, no history of diabetes in the family and the frequency of physical activity carried out. The collected data is processed to obtain prediabetes values/scores with the help of the CDC website to obtain prediabetes values/scores. Based on the results of a survey of 101 respondents collected. Based on the research above, it can be concluded that of the six parameters (age, sex, blood pressure, BMI, and family history) determinants of pre-diabetes, 92.1% of 101 respondents had a low risk of pre-diabetes and 7.9% had a low risk of developing pre-diabetes.

Keywords: Diabetes; Blood Glucose; Prediabetes; Productive Age.


Full Text:

PDF

References


Brannick B, Dagogo-Jack S. Prediabetes and cardiovascular disease: pathophysiology and interventions for prevention and risk reduction. Endocrinol Metab Clin. 2018;47(1):33–50.

Zand A, Ibrahim K, Patham B. Prediabetes: why should we care?. Methodist Debakey Cardiovasc J. 2018;14(4):289.

Kemenkes RI. Infodatin 2020 Diabetes Melitus Pusat Data dan Informasi Kementrian Kesehatan RI. 2020.

Khan RMM, Chua ZJY, Tan JC, Yang Y, Liao Z, Zhao Y. From pre-diabetes to diabetes: diagnosis, treatments and translational research. Medicina (B Aires). 2019;55(9):546.

Suastika K, Dwipayana P, Sarasawati IMR, Kuswardhani T, Astika N, Putrawan IB, et al. Relationship between age and metabolic disorders in the population of Bali. J Clin Gerontol Geriatr. 2011;2(2):47–53.

Peng, L. N., Lin, M. H., Lai, H. Y., Hwang, S. J., Chen, L. K., & Chiou ST. Risk factors of new onset diabetes mellitus among elderly Chinese in rural Taiwan. Age and ageing. Age Ageing. 2010;39(1):125–8.

Kautzky-Willer A, Herreiter J, Pacini G. Sex and gender differences in risk, pathophysiology and complications of type 2 diabetes mellitus. Endocr Rev. 2016;37(3):278–316.

Liu, X., Wang, S., You, Y., Meng, M., Zheng, Z., Dong, M., ... & Jin W. Brown adipose tissue transplantation reverses obesity in Ob/Ob mice. Endocrinology. 2015;156(7):2461–9.

Cheung BM. The hypertension–diabetes continuum. J Cardiovasc Pharmacol. 2010;55(4):333–9.

Gerber AJ. Obesity and type 2 diabetes: which patients are at risk?. Diabetes, Obes Metab. 2012;14(5):399–408.

Park KS. The search for genetic risk factors of type 2 diabetes mellitus. Diabetes Metab J. 2011;35(1):12–22.

Al-Sharafi, B. A., Qais, A. A., Salem, K., & Bashaaib MO. Family History, Consanguinity and Other Risk Factors Affecting the Prevalence of Prediabetes and Undiagnosed Diabetes Mellitus in Overweight and Obese Yemeni Adults. Diabetes. Metab Syndr Obes Targets Ther. 2021;14(4853).

Magkos F, Hjorth MF, Astrup A. Diet and exercise in the prevention and treatment of type 2 diabetes mellitus. Nat Rev Endocrinol. 2020;16(10):545–55.

Rowan, C. P., Riddell, M. C., Gledhill, N., & Jamnik VK. Aerobic Exercise Training Modalities and Prediabetes Risk Reduction. Med Sci Sports Exerc. 2017;49(3):403–12.




DOI: https://doi.org/10.35971/jjhsr.v5i1.17156

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons Licence
 

 

Jambura Journal of Health Sciences and Research is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

</p