Spatial Analysis and Risk Factors for Diabetes Mellitus Type II in Banjarbaru City

Hadrianti HD Lasari(1), Musafaah Musafaah(2), Noor Laili Afifah(3), Yulia Mutmainnah(4), Jayanti Fitriyanti(5),


(1) Universitas Lambung Mangkurat
(2) 
(3) 
(4) 
(5) 

Abstract

The World Health Organization defines diabetes mellitus as a disease characterized by hyperglycemia and disturbances of carbohydrate, fat and protein metabolism associated with absolute or relative deficiency of insulin action and/or secretion. It is estimated that between 2010 and 2030, developed and developing countries will experience a 20% and 69% increase in the number of adults with diabetes, respectively. This research is a quantitative analytic study with a cross sectional design. Utilizing secondary data at the Health Office of Banjarbaru City as of January-March 2020, in particular the five health centers, namely the South Banjarbaru Health Center, the Sei Besar Health Center, the Sei Ulin Health Center, the Liang Anggang Health Center and the Guntung Manggis Health Center. The sampling method is quota sampling and data analysis using chi square. The result is that there is no relationship between gender (p-value=0.742), marital status (p-value=1), employment status (p-value=0.075), education level (p-value=0.646), smoking (p-value = 0.052), BMI (p-value = 0.451), abdominal circumference (p-value = 0.212), and less fruit and vegetable consumption (p-value = 0.586) on the incidence of diabetes mellitus type II.  As for the incidence of diabetes mellitus type II is age (p-value = 0.0001). This study also illustrates the mapping of the distribution of the incidence of Diabetes Mellitus Type II using a color gradation with a scale of 1: 211190, namely in South Banjarbaru District as much as 70.4%, then Liang Anggang District which is 20.4% and North Banjarbaru District 9.2%.

Keywords

Risiko, Diabetes Melitus Tipe 2, Spasial, Banjarbaru

Full Text:

PDF

References

Abdul, M., Khan, B., Hashim, M.J., King, J.K., Govender, R.D., Mustafa, H., & Kaabi, J. Al., 2020. Epidemiology of Diabetes Type 2- Global Burden of Disease and Forecasted Trends. Journal of Epidemiology and Global Health, 10(1), pp.107–111.

Akter, S., Goto, A., & Mizoue, T., 2017. Smoking and the Risk of Type 2 Diabetes in Japan: A Systematic Review and Meta-analysis. Journal of Epidemiology, 27(12), pp.553–561.

Al Mansour, M.A., 2020. The Prevalence and Risk Factors of Diabetes Mellitus Type 2 (DMT2) in A Semi-urban Saudi Population. International Journal of Environmental Research and Public Health, 17(1), pp.1–8.

Aravinda, J., 2019. Risk Factors in Patients with Diabetes Type 2 in Bengaluru: A Retrospective Study. World Journal of Diabetes, 10(4), pp.241–248.

Ardiani, H., Hadisaputro, S., Lukmono, D.T., Nugroho, H., & Suryoputro, A., 2018. Obesity as Risk Factor of Diabetes Mellitus Type 2 in Women of Reproductive Age. Global Medical & Health Communication, 6(2), pp.93–97.

Awadh, F.A.L., Ramadhan, F.A.L., Baaleis, M., & Alhanwah, B., 2018. Correlation Between Body Mass Index and Blood Glucose Levels Among Female Students of King Faisal University. International Journal of Scientific & Engineering Research, 9(1), pp.998–1003.

Health Research and Development Agency., 2018. Basic Health Research 2018 South Kalimantan Province.

Feller, S., Boeing, H., & Pischon, T., 2010. Body-mass-index, Taillenumfang Und Risiko Für Diabetes Mellitus Type 2: Konsequenzen für den Medizinischen Alltag. Deutsches Arzteblatt, 107(26), pp.470–476.

Galicia-Garcia, U., Benito-Vicente, A., Jebari, S., Larrea-Sebal, A., Siddiqi, H., Uribe, K.B., Ostolaza, H., & Martín, C., 2020. Pathophysiology of Diabetes Mellitus Type 2. International Journal of Molecular Sciences, 21(17), pp.1–34.

Han, Y., Zhang, S., Chen, S., Zhang, J., Guo, X., & Yang, X., 2020. Incidence and Risk Factors of Diabetes Mellitus Type 2 in Individuals with Different Fasting Plasma Glucose Levels. Therapeutic Advances in Endocrinology and Metabolism, 11(1), pp.1–9.

Isnaini, N., & Ratnasari, R., 2018. Risk Factors Affect the Incidence of Diabetes Mellitus Type 2. Journal of Midwifery and Nursing Aisyiyah, 14(1), pp.59–68.

Karimah, M., 2018. Waist-Hip Circumference Ratio as Strongest Factor Correlation with Blood Glucose Level. Epidemiology Periodic Journal, 6(3), pp.219–226.

Kristina, S.A.R.I., Endarti, D.W.I., Andayani, T.R.I.M., & Widayanti, A.W., 2020. Direct and Indirect Cost of Diabetes Mellitus in Indonesia: A Prevalence Based Study with Human Capital Approach. International Journal of Pharmaceutical Research, 13(1), pp.2050–2057.

Ligita, T., Wicking, K., Francis, K., Harvey, N., & Nurjannah, I., 2019. How People Living with Diabetes in Indonesia Learn About Their Disease: A Grounded Theory Study. PLoS ONE, 14(2), pp.1–19.

Majgi, S.M., Bala Soudarssanane, M., Roy, G., & Das, A.K., 2012. Risk Factors of Diabetes Mellitus in Rural Puducherry. Online Journal of Health and Allied Sciences, 11(1), pp.1–7.

Muñiz-Ramirez, A., Garcia-Campoy, A.H., Gutiérrez, R.M.P., Báez, E.V.G., & Flores, J.M.M., 2021. Evaluation of the Antidiabetic and Antihyperlipidemic Activity of Spondias Purpurea Seeds in a Diabetic Zebrafish Model. Plants, 10(7), pp.1–14.

Nugroho, P.S., Tianingrum, N.A., Sunarti, S., Rachman, A., Fahrurodzi, D.S., & Amiruddin, R., 2020. Predictor Risk of Diabetes Mellitus in Indonesia, Based on National Health Survey. Malaysian Journal of Medicine and Health Sciences, 16(1), pp.126–130.

OS. Chizia., & D. Bellingham-Young., 2017. Socioeconomic Determinants of Type 2 Diabetes in England. Journal of Health and Social Care Improvement, 1(3), pp.52–61.

Ozougwu, J.C., Obimba, K.C., Belonwu, C.D., & Unakalamba, C.B., 2013. The Pathogenesis and Pathophysiology of Type 1 and Diabetes Mellitus Type 2. Journal of Physiology and Pathophysiology, 4(4), pp.46–57.

Patil, R., & Gothankar, J., 2019. Risk Factors for Diabetes Mellitus Type 2: An Urban Perspective. Indian Journal of Medical Sciences, 71(1), pp.16–21.

Rahayu, K., Saraswati, L., & Setyawan, H., 2018. Factors Related to Blood Sugar Levels in Patients with Diabetes Mellitus Type 2 (Study in the Work Area of the Kedungmundu Health Center). Journal of Public Health, 6(2), pp.19–28.

Sacerdote, C., Ricceri, F., Rolandsson, O., Baldi, I., Chirlaque, M. D., Feskens, E., Bendinelli, B., Ardanaz, E., Arriola, L., Balkau, B., Bergmann, M., Beulens, J. W., Boeing, H., Clavel-Chapelon, F., Crowe, F., de Lauzon-Guillain, B., Forouhi, N., Franks, P. W., Gallo, V., … Wareham, N., 2012. Lower Educational Level is a Predictor of Incident Type 2 Diabetes in European Countries: The EPIC-interact Study. International Journal of Epidemiology, 41(4), pp.1162–1173.

Sasmita, M., 2017. The Relationship Between Obesity and an Increase in Blood Sugar Levels while in Students of the Faculty of Medicine, University of North Sumatra Class 2013-2016. North Sumatra University.

Wang, P.Y., Fang, J.C., Gao, Z.H., Zhang, C., & Xie, S.Y., 2016. Higher Intake of Fruits, Vegetables or Their Fiber Reduces the Risk of Type 2 Diabetes: A Meta-analysis. Journal of Diabetes Investigation, 7(1), pp.56–69.

Wu, J., Pan, G., Huang, Y.T., Liu, D.K., Zeng, H.X., Zhou, X.J., Lai, X.Y., & Liu, J.P., 2020. Effects of Passive Smoking and Its Duration on the Prevalence of Prediabetes and Diabetes Mellitus Type 2 in Chinese Women. Aging, 12(10), pp.9440–9446.

Refbacks

  • There are currently no refbacks.




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